An extensive review of scientific literature on neuromarketing was conducted for this report. includes a full review of current-day issues of neuromarketing.
Fake Product Review Monitoring & Removal and Sentiment Analysis of Genuine Re...Dr. Amarjeet Singh
Any E-Commerce website gets bad reputation if they
sell a product which has bad review, the user blames the eCommerce website rather than manufacturers most of the
times. In some review sites some great audits are included by
the item organization individuals itself so as to make so as to
deliver false positive item reviews. To eliminate these type of
fake product review, we will create a system that finds out the
fake reviews and eliminates all the fake reviews by using
machine learning. We also remove the reviews that are flood
by a marketing agency in order to boost up the ratings of a
particular product .Finally Sentiment analysis is done for the
genuine reviews to classify them into positive and negative.
We will use Bag-of-words to label individual words
according to their sentiment.
Sentiment classification for product reviews (documentation)Mido Razaz
The documentation of the pre-master graduation project prepared by my self and my colleagues Mostafa Ameen, Mai M. Farag and Mohamed Abd El kader.
If you want me to conduct any similar research for you you can have my service through this link: https://www.fiverr.com/meizzo/convert-your-textual-data-set-from-csv-file-format-to-arff-format-for-weka
The current research is focusing on the area of Opinion Mining also called as sentiment analysis due to
sheer volume of opinion rich web resources such as discussion forums, review sites and blogs are available
in digital form. One important problem in sentiment analysis of product reviews is to produce summary of
opinions based on product features. We have surveyed and analyzed in this paper, various techniques that
have been developed for the key tasks of opinion mining. We have provided an overall picture of what is
involved in developing a software system for opinion mining on the basis of our survey and analysis.
Fake Product Review Monitoring & Removal and Sentiment Analysis of Genuine Re...Dr. Amarjeet Singh
Any E-Commerce website gets bad reputation if they
sell a product which has bad review, the user blames the eCommerce website rather than manufacturers most of the
times. In some review sites some great audits are included by
the item organization individuals itself so as to make so as to
deliver false positive item reviews. To eliminate these type of
fake product review, we will create a system that finds out the
fake reviews and eliminates all the fake reviews by using
machine learning. We also remove the reviews that are flood
by a marketing agency in order to boost up the ratings of a
particular product .Finally Sentiment analysis is done for the
genuine reviews to classify them into positive and negative.
We will use Bag-of-words to label individual words
according to their sentiment.
Sentiment classification for product reviews (documentation)Mido Razaz
The documentation of the pre-master graduation project prepared by my self and my colleagues Mostafa Ameen, Mai M. Farag and Mohamed Abd El kader.
If you want me to conduct any similar research for you you can have my service through this link: https://www.fiverr.com/meizzo/convert-your-textual-data-set-from-csv-file-format-to-arff-format-for-weka
The current research is focusing on the area of Opinion Mining also called as sentiment analysis due to
sheer volume of opinion rich web resources such as discussion forums, review sites and blogs are available
in digital form. One important problem in sentiment analysis of product reviews is to produce summary of
opinions based on product features. We have surveyed and analyzed in this paper, various techniques that
have been developed for the key tasks of opinion mining. We have provided an overall picture of what is
involved in developing a software system for opinion mining on the basis of our survey and analysis.
Sentiment Analysis Using Hybrid Structure of Machine Learning AlgorithmsSangeeth Nagarajan
Sentiment Analysis is the process used to determine the attitude/ opinion/ emotion expressed by a person about a particular topic. The presentation dealt with general approach and different machine learning based classification alogorithms. The slides is based on the work "Sentiment analysis using Neuro-Fuzzy and Hidden Markov models of text" by Rustamov S , Mustafayev E and Clements M A.
This presentation consist of detail description regarding how social media sentiments analysis is performed , what is its scope and benefits in real life scenario.
Application Of Python in Medical ScienceAditya Nag
Python is an interpreted high-level general-purpose programming language. Python's design philosophy emphasizes code readability with its notable use of significant indentation. Its language constructs, as well as its object-oriented approach, aim to help programmers write clear, logical code for small and large-scale projects.
It gives an overview of Sentiment Analysis, Natural Language Processing, Phases of Sentiment Analysis using NLP, brief idea of Machine Learning, Textblob API and related topics.
An informative session on Amazon Mechanical Turk where you will learn how your company can leverage the human crowd for human sentiment analysis of content such as tweets, articles, RSS feeds and blog posts. This session digs into the details of getting started and provides information on how to be successful so you get accurate results. Additionally, FreedomOSS will share their experiences designing and managing sentiment tasks and demo's their CrowdControl crowdsourcing platform that is built on top of Mechanical Turk.
Sentimental analysis is a context based mining of text, which extracts and identify subjective information from a text or sentence provided. Here the main concept is extracting the sentiment of the text using machine learning techniques such as LSTM Long short term memory . This text classification method analyses the incoming text and determines whether the underlined emotion is positive or negative along with probability associated with that positive or negative statements. Probability depicts the strength of a positive or negative statement, if the probability is close to zero, it implies that the sentiment is strongly negative and if probability is close to1, it means that the statement is strongly positive. Here a web application is created to deploy this model using a Python based micro framework called flask. Many other methods, such as RNN and CNN, are inefficient when compared to LSTM. Dirash A R | Dr. S K Manju Bargavi "LSTM Based Sentiment Analysis" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-4 , June 2021, URL: https://www.ijtsrd.compapers/ijtsrd42345.pdf Paper URL: https://www.ijtsrd.comcomputer-science/data-processing/42345/lstm-based-sentiment-analysis/dirash-a-r
"Knowing about the user’s feedback can come to a greater aid in knowing the user as well as improving the organization. Here an example of student’s data is taken for study purpose. Analyzing the student feedback will help to help to address student related problems and help to make teaching more student oriented. Prashali S. Shinde | Asmita R. Kanase | Rutuja S. Pawar | Yamini U. Waingankar ""Sentiment Analysis of Feedback Data"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Fostering Innovation, Integration and Inclusion Through Interdisciplinary Practices in Management , March 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23090.pdf
Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/23090/sentiment-analysis-of-feedback-data/prashali--s-shinde"
FEATURE SELECTION AND CLASSIFICATION APPROACH FOR SENTIMENT ANALYSISmlaij
Sentiment analysis and Opinion mining has emerged as a popular and efficient technique for information retrieval and web data analysis. The exponential growth of the user generated content has opened new horizons for research in the field of sentiment analysis. This paper proposes a model for sentiment analysis of movie reviews using a combination of natural language processing and machine learning approaches. Firstly, different data pre-processing schemes are applied on the dataset. Secondly, the behaviour of twoclassifiers, Naive Bayes and SVM, is investigated in combination with different feature selection schemes to
obtain the results for sentiment analysis. Thirdly, the proposed model for sentiment analysis is extended to
obtain the results for higher order n-grams.
How Does Customer Feedback Sentiment Analysis Work in Search Marketing?Countants
When it comes to understanding customer feedback, sentiment analysis is emerging as a viable tool for any business. For example, sentiment analysis algorithms are being used to make sense of user feedback in a customer feedback survey with open-ended questions and responses.
Sentiment Analysis also known as opinion mining and Emotional AI
Refers to the use of natural language processing, text analysis, computational linguistics and biometrics to systematically identify, extract, quantify and study affective states and subjective information.
widely used in
Reviews
Survey responses
Online and social media
Health care
[Webinar] Applying Neuroscience to Communications ResearchInsightInnovation
Neuromarketing is an exciting field that is redefining what we think we know about our customers, their decision-making, and the processes that govern how they think and act.
[Webinar] Applications of Psycho-physiological Measures in Holistic Consumer ...InsightInnovation
HCD Research, a leader in integrating psycho-physiological measures and traditional research techniques, will show how applied consumer neuroscience can help marketers and product developers make decisions with actionable recommendations in all stages of innovation: exploration, evaluation and validation. HCD will share technology-agnostic approaches that allows for flexibility in keeping up with the latest tools and scientific research and, most importantly, focus on client needs and goals.
Effect of Psychological Dispositions on Intuitive Forecasting: An Experiment...inventionjournals
International Journal of Business and Management Invention (IJBMI) is an international journal intended for professionals and researchers in all fields of Business and Management. IJBMI publishes research articles and reviews within the whole field Business and Management, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
HOMEWORK 5 (Total 100 points – 25 points each)
1. (Chapter 9, Question 2) Select an industry and analyze its regionalization
drivers as they were five years ago, as they are today, and as they are likely to be in
five years’ time.
2. (Chapter 9, Question 3) How should a company decide when to use regional
rather than global strategies?
3. (Chapter 10, Question 2) Which industry globalization drivers are the easiest to
measure, and which are the most difficult? What is the basis for your assertion?
4. (Chapter 10, Question 3) How often and by whom should measures of
globalization and global strategy be made?
Mindfulness Research in Social Work:
Conceptual and Methodological
Recommendations
Eric L. Garland
Mindfulness refers to a set of practices as well as the psychological state and trait produced
by such practices. The state, trait, and practice of mindfulness may be broadly characterized
by a present-oriented, nonjudgmental awareness of cognitions, emotions, sensations, and
perceptions without fixation on thoughts of past or future. Research on mindfulness has
proliferated over the past decade. Given the explosion of scientific interest in this topic,
mindfulness-based therapies are attracting the attention of clinical social workers, who seek
to implement these interventions in numerous practice settings. Concomitantly, research on
mindfulness is now falling within the scope and purview of social work scholars. In response
to the growing interest in mindfulness within academic social work, the present article
outlines six conceptual and methodological recommendations for the conduct of future
empirical studies on mindfulness. These recommendations have practical importance for
advancing mindfulness research within and beyond social work.
KEY WORDS: evidence-based practice; meditation; mindfulness; randomized controlled trial; research methods
Mindfulness is linked with a set of cross-cultural principles and practices origi-nating in Asia more than 2,500 years
ago that have parallel manifestations in numerous
cultures around the world. With regard to its cur-
rent academic usage, mindfulness refers to a psycho-
logical phenomenon that is now being studied for
its relevance to mental and physical health in fields
such as medicine, psychology, and neuroscience.
Across these fields, there is a growing body of litera-
ture that attests to the efficacy of mindfulness-based
therapies for a wide range of biobehavioral disorders.
According to a search of PubMed and CRISP data-
bases conducted on October 4, 2009, there were
1,614 peer-reviewed journal articles on mindfulness
published in the scientific literature and 320 research
grants on mindfulness funded by the National Insti-
tutes of Health between 1998 and 2009. Indeed,
there is mounting empirical evidence of the role of
mindfulness in reducing stress and improving clinical
outcomes across diverse conditions such as depres-
sion (Teasdale et al., 2002), relations ...
Sentiment Analysis Using Hybrid Structure of Machine Learning AlgorithmsSangeeth Nagarajan
Sentiment Analysis is the process used to determine the attitude/ opinion/ emotion expressed by a person about a particular topic. The presentation dealt with general approach and different machine learning based classification alogorithms. The slides is based on the work "Sentiment analysis using Neuro-Fuzzy and Hidden Markov models of text" by Rustamov S , Mustafayev E and Clements M A.
This presentation consist of detail description regarding how social media sentiments analysis is performed , what is its scope and benefits in real life scenario.
Application Of Python in Medical ScienceAditya Nag
Python is an interpreted high-level general-purpose programming language. Python's design philosophy emphasizes code readability with its notable use of significant indentation. Its language constructs, as well as its object-oriented approach, aim to help programmers write clear, logical code for small and large-scale projects.
It gives an overview of Sentiment Analysis, Natural Language Processing, Phases of Sentiment Analysis using NLP, brief idea of Machine Learning, Textblob API and related topics.
An informative session on Amazon Mechanical Turk where you will learn how your company can leverage the human crowd for human sentiment analysis of content such as tweets, articles, RSS feeds and blog posts. This session digs into the details of getting started and provides information on how to be successful so you get accurate results. Additionally, FreedomOSS will share their experiences designing and managing sentiment tasks and demo's their CrowdControl crowdsourcing platform that is built on top of Mechanical Turk.
Sentimental analysis is a context based mining of text, which extracts and identify subjective information from a text or sentence provided. Here the main concept is extracting the sentiment of the text using machine learning techniques such as LSTM Long short term memory . This text classification method analyses the incoming text and determines whether the underlined emotion is positive or negative along with probability associated with that positive or negative statements. Probability depicts the strength of a positive or negative statement, if the probability is close to zero, it implies that the sentiment is strongly negative and if probability is close to1, it means that the statement is strongly positive. Here a web application is created to deploy this model using a Python based micro framework called flask. Many other methods, such as RNN and CNN, are inefficient when compared to LSTM. Dirash A R | Dr. S K Manju Bargavi "LSTM Based Sentiment Analysis" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-4 , June 2021, URL: https://www.ijtsrd.compapers/ijtsrd42345.pdf Paper URL: https://www.ijtsrd.comcomputer-science/data-processing/42345/lstm-based-sentiment-analysis/dirash-a-r
"Knowing about the user’s feedback can come to a greater aid in knowing the user as well as improving the organization. Here an example of student’s data is taken for study purpose. Analyzing the student feedback will help to help to address student related problems and help to make teaching more student oriented. Prashali S. Shinde | Asmita R. Kanase | Rutuja S. Pawar | Yamini U. Waingankar ""Sentiment Analysis of Feedback Data"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Fostering Innovation, Integration and Inclusion Through Interdisciplinary Practices in Management , March 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23090.pdf
Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/23090/sentiment-analysis-of-feedback-data/prashali--s-shinde"
FEATURE SELECTION AND CLASSIFICATION APPROACH FOR SENTIMENT ANALYSISmlaij
Sentiment analysis and Opinion mining has emerged as a popular and efficient technique for information retrieval and web data analysis. The exponential growth of the user generated content has opened new horizons for research in the field of sentiment analysis. This paper proposes a model for sentiment analysis of movie reviews using a combination of natural language processing and machine learning approaches. Firstly, different data pre-processing schemes are applied on the dataset. Secondly, the behaviour of twoclassifiers, Naive Bayes and SVM, is investigated in combination with different feature selection schemes to
obtain the results for sentiment analysis. Thirdly, the proposed model for sentiment analysis is extended to
obtain the results for higher order n-grams.
How Does Customer Feedback Sentiment Analysis Work in Search Marketing?Countants
When it comes to understanding customer feedback, sentiment analysis is emerging as a viable tool for any business. For example, sentiment analysis algorithms are being used to make sense of user feedback in a customer feedback survey with open-ended questions and responses.
Sentiment Analysis also known as opinion mining and Emotional AI
Refers to the use of natural language processing, text analysis, computational linguistics and biometrics to systematically identify, extract, quantify and study affective states and subjective information.
widely used in
Reviews
Survey responses
Online and social media
Health care
[Webinar] Applying Neuroscience to Communications ResearchInsightInnovation
Neuromarketing is an exciting field that is redefining what we think we know about our customers, their decision-making, and the processes that govern how they think and act.
[Webinar] Applications of Psycho-physiological Measures in Holistic Consumer ...InsightInnovation
HCD Research, a leader in integrating psycho-physiological measures and traditional research techniques, will show how applied consumer neuroscience can help marketers and product developers make decisions with actionable recommendations in all stages of innovation: exploration, evaluation and validation. HCD will share technology-agnostic approaches that allows for flexibility in keeping up with the latest tools and scientific research and, most importantly, focus on client needs and goals.
Effect of Psychological Dispositions on Intuitive Forecasting: An Experiment...inventionjournals
International Journal of Business and Management Invention (IJBMI) is an international journal intended for professionals and researchers in all fields of Business and Management. IJBMI publishes research articles and reviews within the whole field Business and Management, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
HOMEWORK 5 (Total 100 points – 25 points each)
1. (Chapter 9, Question 2) Select an industry and analyze its regionalization
drivers as they were five years ago, as they are today, and as they are likely to be in
five years’ time.
2. (Chapter 9, Question 3) How should a company decide when to use regional
rather than global strategies?
3. (Chapter 10, Question 2) Which industry globalization drivers are the easiest to
measure, and which are the most difficult? What is the basis for your assertion?
4. (Chapter 10, Question 3) How often and by whom should measures of
globalization and global strategy be made?
Mindfulness Research in Social Work:
Conceptual and Methodological
Recommendations
Eric L. Garland
Mindfulness refers to a set of practices as well as the psychological state and trait produced
by such practices. The state, trait, and practice of mindfulness may be broadly characterized
by a present-oriented, nonjudgmental awareness of cognitions, emotions, sensations, and
perceptions without fixation on thoughts of past or future. Research on mindfulness has
proliferated over the past decade. Given the explosion of scientific interest in this topic,
mindfulness-based therapies are attracting the attention of clinical social workers, who seek
to implement these interventions in numerous practice settings. Concomitantly, research on
mindfulness is now falling within the scope and purview of social work scholars. In response
to the growing interest in mindfulness within academic social work, the present article
outlines six conceptual and methodological recommendations for the conduct of future
empirical studies on mindfulness. These recommendations have practical importance for
advancing mindfulness research within and beyond social work.
KEY WORDS: evidence-based practice; meditation; mindfulness; randomized controlled trial; research methods
Mindfulness is linked with a set of cross-cultural principles and practices origi-nating in Asia more than 2,500 years
ago that have parallel manifestations in numerous
cultures around the world. With regard to its cur-
rent academic usage, mindfulness refers to a psycho-
logical phenomenon that is now being studied for
its relevance to mental and physical health in fields
such as medicine, psychology, and neuroscience.
Across these fields, there is a growing body of litera-
ture that attests to the efficacy of mindfulness-based
therapies for a wide range of biobehavioral disorders.
According to a search of PubMed and CRISP data-
bases conducted on October 4, 2009, there were
1,614 peer-reviewed journal articles on mindfulness
published in the scientific literature and 320 research
grants on mindfulness funded by the National Insti-
tutes of Health between 1998 and 2009. Indeed,
there is mounting empirical evidence of the role of
mindfulness in reducing stress and improving clinical
outcomes across diverse conditions such as depres-
sion (Teasdale et al., 2002), relations ...
The deficiency or hindrance in the capacity to think passionate states is known as mind visual deficiency. This condition is seen to be the key inhibitor of social and enthusiastic insight for mentally unbalanced individuals. A mental imbalance is a range of neuro-formative conditions which influences one's social working, correspondence what's more, is frequently went with redundant practices and over the top interests. Failures coming about because of mind-visual deficiency incorporate measuring the enthusiasm of different gatherings amid discussions, withdrawal from social contact, obscurity to social signals, in distinction to individuals' conclusions and inconceivable non-verbal correspondence. The current assistive gadgets and instruments generally fill in as healing apparatuses that give a learning condition for mentally unbalanced youngsters to find out about the standards of social conduct. In any case, these instruments do not have the capacity to work in conjunction with certifiable circumstances. A thought is recommended that means to satisfy this need. We propose a compact gadget which can help extremely introverted individuals in correspondence in genuine circumstances. We trust that this versatile gadget can help to limit the hole amongst us and the universe of extreme introvertedness through helped correspondence. In this paper, we introduce one a player in this gadget, which is called Emotional Advisor to help extremely introverted youngsters in taking part in significant discussions where individuals can learn how they are feeling amid correspondence.
Change management by neurological aspects of organizational behaviourIAEME Publication
Dynamic changes affect inter-relationships between different stakeholders of organization.
The remarkable impact may be on individual and group decisions, performance at work, work-life
balance etc. Group dynamics and leadership have direct impact on cognitive behaviour. This paper is
an outcome of a research focused on impact of neurological aspects on behaviour affecting change
management initiatives. It includes changes in performance, decision making ability, team work,
creativity and engagement among employees from selective micro and small scale enterprises. This
study attempts to formulate suitable design of change management policy to cope up with probable
deviations in the organizational behaviour.
Neuroleadership is an emerging trend in the field of management..docxmayank272369
Neuroleadership is an emerging trend in the field of management. As we look at the importance of global leadership in our ever-changing business environment, we find a connection between our way of thinking and our leadership and decision-making style. Below are several articles related to this topic.
Please choose 2-3 articles from below to read on the subject and then evaluate and discuss the rise of neuroleadership in the human resource and organizational development disciplines.
Articles:
David Rock. (2013).
T + D, 67
(10), 84-85
.
Dr. David Rock presented on the brain science behind performance at PeopleFluent global user conference WISDOM 2015. (2015, Mar 10).
Business Wire.
Dr. David Rock presents 'the brain science behind performance' at PeopleFluent WISDOM 2015. (2015). Professional Services Close - Up.
Fox, A. (2011). Leading with the brain.
HRMagazine, 56
(6), 52-53
.
In an interview, David Rock, founder of the NeuroLeadership Institute, talked about how scientists' growing understanding of the brain illuminates techniques for leadership and decision-making. Rock said mindfulness is the ability to be meta-cognitive or to think about your thinking. Labeling is the ability to put words on your mental state -- for instance, to articulate when you are feeling anxious. All involve an area of the brain that is central for self-regulation -- the ventrolateral prefrontal cortex. Researchers are discovering that self-regulation -- regulating emotion, regulating your thoughts, regulating your attention -- is essential in leadership. The optimal leader is adaptive. Leaders have to know when to be dogmatic in their beliefs and when to be collaborative, when to get granular and when to be big-picture-focused. To be adaptive, you must have an integrated brain. A big part of the creative process is using your non-conscious brain, because the problems being tackled are simply too big for conscious processing resources.
Hogan, T. (2010). Neuroscience provides tools to navigate the new business reality.
People and Strategy, 33
(4), 8-9
.
The four domains of NeuroLeadership; problem solving, emotion regulation, collaborating and facilitating change provide an interesting lens through which to examine the field of global leadership development. Leaders today face greater challenges than ever before as they work across multiple geographies, functions, product lines and national cultures. Neuorscience provides a useful framework for understanding how leaders gain insights while learning to work in new ways across traditional boundaries in a borderless world. Leaders, therefore, need to be able to see and process information in new ways, making connections between phenomena that have never been linked before in their minds. This is systems thinking, and it is the hallmark of resourceful and innovative leaders throughout history
.
Kiefer, T. (2010). Neuroleadership-more than another leadership framework.
People and Strategy, 33
(4), 1.
Analysis of Emotional Intelligence as a Competition for Effective ProductivityIJAEMSJORNAL
Background. Emotional intelligence is an essential competence that must be evaluated within a personnel selection process. The level of IE influences the results of a company favorably. In this research, the dependence that exists between the effective productivity of the workers in specific of the commercial area and the emotional intelligence was analyzed. Methodology. The studied population was 88 active workers in the area as mentioned earlier; 40% were male and 60% female. Those evaluated were aged 25 to 40 years, with experience in the average sales area of 3 years. To validate the questions that were handled as an instrument, the Pearson correlation was used; Chi-square to calculate the dependence of variables. Results and discussion. As a result, we obtained ten dependent variables with which we can conclude that there is a relationship between the level of emotional intelligence with the effective productivity that collaborates with the commercial area within an organization. Conclusion. Based on the results we conclude that people with a high level of Emotional Self-understanding (AE) can control their emotions to act correctly in each situation.
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Cognitive Behavioral Psychology In Inside Out
Social cognitive theory in mass communication - Prepared by Fiza Zia Ul HannanDr. Fiza Zia Ul Hannan
This theory refers to the cognitive capability to learn and adopt new knowledge in ways a human mind has not comprehended before. Its philosophical description deals with understanding of the psycho-social mechanisms, which affect human thought and action.
Das ist die Vorlage für die Arbeit zum Thema “Neuroeconomics”, die von unseren Autoren geschrieben wurde!
Hinweis: Die obenerwähnte Arbeite wurde extra für unsere Kunden erstellt. Wir haben sie um die Erlaubnis gebeten, diese Arbeit zu posten
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The growth of a country's banking sector has a significant impact on its economic development. The banking sector plays a critical role in determining a country's economic future. A well-planned, structured, efficient, and viable banking system is an essential component of an economy's economic and social infrastructure. In modern society, a strong banking system is required because it meets the financial needs of the modern society. In a country's economy, the banking system plays a crucial role. Because it connects surplus and deficit economic agents, the bank is the most important financial intermediary in the economy. The banking system is regarded as the economy's lifeline. It meets the financial needs of commerce, industry, and agriculture. As a result, the country's development and the banking system are intertwined. They are critical in the mobilisation of savings and the distribution of credit to various sectors of the economy. India's private sector banks play a critical role in the country's economic development. So The financial performance of private sector banks must be evaluated carefully.
An Empirical Analysis of Financial Performance of Selected Oil Exploration an...Dr. Amarjeet Singh
After the United States, China, and Japan, India was the world's fourth biggest consumer of oil and petroleum products. The nation is significantly reliant on crude oil imports, the majority of which come from the Middle East. The Indian oil and gas business is one of the country's six main sectors, with important forward links to the rest of the economy. More than two-thirds of the country's overall primary energy demands are met by the oil and gas industry. The industry has played a key role in placing India on the global map. India is now the world's sixth biggest crude oil user and ninth largest crude oil importer. In addition, the country's portion of the worldwide refining market is growing. India's refining industry is now the world's sixth biggest. With plans for Reliance Petroleum Limited to commission another refinery with a capacity of 29 MTPA next 16 to its 33 MTPA refinery in Jamnagar, Gujarat, this position is projected to be enhanced. As a consequence, the Reliance refinery would be the biggest single-site refinery in the world. Based on secondary data gathered from CMIE, the current research examines the ratios influencing the profitability of selected oil exploration and production businesses in India during a 10-year period.
Since 1991, thanks to economic policy liberalization, the Indian economy has entered an era in which Indian businesses can no longer disregard global markets. Prior to the 1990s, the prices of a variety of commodities, metals, and other assets were carefully regulated. Others, which were not rolled, were primarily dependant on regulated input costs. As a result, there was no uncertainty and, as a result, no price fluctuations. However, in 1991, when the process of deregulation began, the prices of most items were deregulated. It has also resulted in the exchange being partially deregulated, easing trade restrictions, lowering interest rates, and making significant advancements in foreign institutional investors' access to the capital markets, as well as establishing market-based government securities pricing, among other things. Furthermore, portfolio and securities price volatility and instability were influenced by market-determined exchange rates and interest rates. As a result, hedging strategies employing a variety of derivatives were exposed to a variety of risks. The Indian capital market will be examined in this study, with a focus on derivatives.
Theoretical Estimation of CO2 Compression and Transport Costs for an hypothet...Dr. Amarjeet Singh
SEI S.p.a. presented a project to build a 1320 MW coal-fired power plant in Saline Joniche, on the Southern tip of Calabria Region, Italy, in 2008. A gross early evaluation about the possibility to add CCS (CO2 Capture & Storage) was performed too. The project generated widespread opposition among environmental associations, citizens and local institutions in that period, against the coal use to produce energy, as a consequence of its GHG clima-alterating impact. Moreover the CCS (also named Carbon Capture & Storage or more recently CCUS: Carbon Capture-Usage-Storage) technology was at that time still an unknown and “mysterious” solution for the GHG avoiding to the atmosphere. The present study concerns the sizing of the compression and transportation system of the CCS section, included in the project presented at the time by SEI Spa; the sizing of the compression station and the pipeline connecting the plant to the possible Fosca01 offshore injection site previously studied as a possible storage solution, as part of a coarse screening of CO2 storage sites in the Calabria Region. This study takes into account the costs of construction, operation and maintenance (O&M) of both the compression plant and the sound pipeline, considering the gross static storage capacity of the Fosca01 reservoir as a whole as previously evaluated.
Analytical Mechanics of Magnetic Particles Suspended in Magnetorheological FluidDr. Amarjeet Singh
In this paper, the behavior of MR particles has been systematically investigated within the scope of analytical mechanics. . A magnetorheological fluid belongs to a class of smart materials. In magnetorheological fluids, the motion of magnetic particles is controlled by the action of internal and external forces. This paper presents analytical mechanics for the interaction of system of particles in MR fluid. In this paper, basic principles of Analytical Mechanics are utilized for the construction of equations.
Techno-Economic Aspects of Solid Food Wastes into Bio-ManureDr. Amarjeet Singh
Solid waste is health hazard and cause damage to the environment due to improper handling. Solid waste comprises of Industrial Waste (IW), Hazardous Waste (HW), Municipal Solid Waste (MSW), Electronic waste (E-waste), Bio-Medical Waste (BMW) which depend on their supply & characteristics. Food waste or Bio-waste composting and its role in sustainable development is explained in food waste is a growing area of concern with many costs to our community in terms of waste collection, disposal and greenhouse gases. When rotting food ends up in landfill it turns into methane, a greenhouse gas that is particularly damaging to the environment. Composting is biochemical process in which organic materials are biologically degraded, resulting in the production of organic by products and energy in the form of heat. Heat is trapped within the composting mass, leading to the phenomenon of self-heating. This overall process provide us Bio-Manure.
Crypto-Currencies: Can Investors Rely on them as Investment Avenue?Dr. Amarjeet Singh
The purpose of this study is to examine investors’ perceptions about investing in crypto-currencies. We think that investors trust in crypto-currencies is largely driven by crypto-currency comprehension, trust in government, and transaction speed. This is the first study to examine crypto-currencies from the investor’s perspective. Following that, we discover important antecedents of crypto-currency confidence. Second, we look at the government's role in crypto-currencies. The importance of this study is: first, crypto-currencies have the potential to disrupt the current economic system as the debate is all about impact of decentralization of transactions; thus, further research into how it affects investors trust is essential; and second, access to crypto-currencies. Finally, if Fin-Tech companies or banks want to enter the bitcoin industry may not attract huge advertising costs as well as marketing to soothe clients' concerns about investing in various digital currencies The research sheds light on indecisiveness in the context of marketing aspects adopted by demonstrating investors are aware about the crypto.
Awareness of Disaster Risk Reduction (DRR) among Student of the Catanduanes S...Dr. Amarjeet Singh
The Island Province of Catanduanes is prone to all types of natural hazards that includes torrential and heavy rains, strong winds and surge, flooding and landslide or slope failures as a result of its geographical location and topography. RA 10121 mandates local DRRM bodies to “encourage community, specifically the youth, participation in disaster risk reduction and management activities, such as organizing quick response groups, particularly in identified disaster-prone areas, as well as the inclusion of disaster risk reduction and management programs as part of youth programs and projects. The study aims to determine the awareness to disaster of the student of the Catanduanes State University. The disaster-based questionnaire was prepared and distributed among 636 students selected randomly from different Colleges and Laboratory Schools in the University
The Catanduanes State University students understood some disaster-related concepts and ideas, but uncertain on issues on preparedness, adaptation, and awareness on the risks inflicted by these natural hazards. Low perception on disaster risks are evidently observed among students. The responses of the students could be based on the efficiency and impact of the integration of DRR education in the senior high school curriculum. Specifically, integration of the concepts about the hazards, hazard maps, disaster preparedness, awareness, mitigation, prevention, adaptation, and resiliency in the science curriculum possibly affect the knowledge and understanding of students on DRR. Preparedness drills and other forms of capacity building must be done to improve awareness of the student towards DRRM.
The study further recommends that teachers and instructor must also be capacitated in handling disaster as they are the prime movers in the implementation of the DRRM in education. Preparedness drills and other forms of capacity building must be done to improve awareness of the student towards DRRM. Core subjects in Earth Sciences must be reinforced with geologic hazards. Learning competencies must also be focused on hazard identification and mapping, and coping with different geologic disaster.
The 1857 war was a watershed moment in the history of the Indian subcontinent. The battle has sparked academic debate among historians and sociologists all around the world. Despite the fact that it has been more than 150 years, this battle continues to pique the interest of historians. The war's causes and events that occurred throughout the conflict, persons who backed the British and anti-British fighters, and the results and ramifications, are all aspects of this conflict. In terms of outcomes, many academics believe that the war was a failure for those who started it. It is often assumed that the Indians who battled the British in this conflict were unable to achieve their goals. Many gains accrued to Indians as a result of the conflict, but these achievements are overshadowed by the dispute over the war's failure. This research effort focuses on the war's achievements for India, and the significance of those achievements.
Haryana's Honour Killings: A Social and Legal Point of ViewDr. Amarjeet Singh
Life is unpredictably unpredictable. Nobody knows what will happen in the next minute of their lives. In this circumstance, every human being has the right and desire to conduct their lives according to their own desires. No one should be forced to live a life solely for the benefit and reputation of others. Honour killing is defined as the assassination of a person, whether male or female, who refuses to accept the family's arranged marriage or decides to move her or his marital life according to her or his wishes solely because it jeopardizes the family's honour. The family's supreme authority looks after the family's name but neglects to consider the love and affection shared among family members. I have discussed honour killing in India in my research work. This sort of murder occurs as a result of particular triggers, which are also examined in relation to the role of the law in honour killing. No one can be released free if they break the law, and in this case, it is a felony that violates various regulations designed to safeguard citizens. This crime is similar to many others, but it is distinct enough to be differentiated in the report. When the husband is of low social standing, it lowers the position and caste of the female family, prompting the male family members to murder the girl. But they forget that the girl is their kid and that while rank may be attained, a girl's life can never be replaced, and that caste is less valuable than the girl's life and love spent with them.
Optimization of Digital-Based MSME E-Commerce: Challenges and Opportunities i...Dr. Amarjeet Singh
The impact caused by the Covid-19 Pandemic on Micro and Small and Medium Enterprises (MSMEs) was so severe and fatal
that not a few went out of business. The heavy burden is borne by MSME actors due to social restrictions imposed by the
government, the declining purchasing power of the people, a product that continues to decline until capital runs out. Plus
inadequate knowledge in carrying out marketing strategies and product innovations are the main trigger for the lack of
enthusiasm for MSME actors as well as bankruptcy. MSME digitalization-based e-commerce is an opportunity and the right
solution in dealing with the obstacles caused by the impact of Covid-19, as well as a challenge for MSME actors to design old
ways in new ways through digital business.
Modal Space Controller for Hydraulically Driven Six Degree of Freedom Paralle...Dr. Amarjeet Singh
This paper presents the Modal space decoupled control for a hydraulically driven parallel mechanism has been presented. The approach is based on singular values decomposition to the properties of joint-space inverse mass matrix, and mapping of the control and feedback variables from the joint space to the decoupling modal space. The method transformed highly coupled six-input six-output dynamics into six independent single-input single-output (SISO) 1 DOF hydraulically driven mechanical systems. The novelty in this method is that the signals including control errors, control outputs and pressure feedbacks are transformed into decoupled modal space and also the proportional gains and dynamic pressure feedback are tuned in modal space. The results indicate that the conventional controller can only attenuate the resonance peaks of the lower eigenfrequencies of six rigid modes properly, and the peaking points of other relative higher eigenfrequencies are over damped, The further results show that it is very effective to design and tune the system in modal space and that the bandwidth increased substantially except surge (x) and sway (y) motions, each degree of freedom can be almost tuned independently and their bandwidths can be increased near to the undamped eigenfrequencies.
It is a known fact that a large number of Steel Industry Expansion projects in India have been delayed due to regulatory clearances, environmental issues and problems pertaining to land acquisition. Also, there are challenges in the tendering phase that affect viability of projects thus delaying implementation, construction phase is beset with over-runs and disputes and last but not the least; provider skills are weak all across the value chain. Given the critical role of Steel Sector in ensuring a sustained growth trajectory for India, it is imperative that we identify the core issues affecting completion of infrastructure projects in India and chalk out initiatives that need to be acted upon in short term as well as long term.
A blockchain is a decentralised database that is shared across computer network nodes. A blockchain acts as a database, storing information in a digital format. The study primarily aims to explore how in the future, block chain technology will alter several areas of the Indian economy. The current study aims to obtain a deeper understanding of blockchain technology's idea and implementation in India, as well as the technology's potential as a disruptive financial technological innovation.
Secondary sources such as reports, journals, papers, and websites were used to compile all the data. Current and relevant information were utilised to help understand the research goals. All the information is rationally organised to fulfil the objectives. The current research focuses on recommendations for enhancing India's Blockchain ecosystem so that it may become one of the best in the world at utilising this new technology.
Oprah Winfrey: A Leader in Media, Philanthropy, and Empowerment | CIO Women M...CIOWomenMagazine
This person is none other than Oprah Winfrey, a highly influential figure whose impact extends beyond television. This article will delve into the remarkable life and lasting legacy of Oprah. Her story serves as a reminder of the importance of perseverance, compassion, and firm determination.
Senior Project and Engineering Leader Jim Smith.pdfJim Smith
I am a Project and Engineering Leader with extensive experience as a Business Operations Leader, Technical Project Manager, Engineering Manager and Operations Experience for Domestic and International companies such as Electrolux, Carrier, and Deutz. I have developed new products using Stage Gate development/MS Project/JIRA, for the pro-duction of Medical Equipment, Large Commercial Refrigeration Systems, Appliances, HVAC, and Diesel engines.
My experience includes:
Managed customized engineered refrigeration system projects with high voltage power panels from quote to ship, coordinating actions between electrical engineering, mechanical design and application engineering, purchasing, production, test, quality assurance and field installation. Managed projects $25k to $1M per project; 4-8 per month. (Hussmann refrigeration)
Successfully developed the $15-20M yearly corporate capital strategy for manufacturing, with the Executive Team and key stakeholders. Created project scope and specifications, business case, ROI, managed project plans with key personnel for nine consumer product manufacturing and distribution sites; to support the company’s strategic sales plan.
Over 15 years of experience managing and developing cost improvement projects with key Stakeholders, site Manufacturing Engineers, Mechanical Engineers, Maintenance, and facility support personnel to optimize pro-duction operations, safety, EHS, and new product development. (BioLab, Deutz, Caire)
Experience working as a Technical Manager developing new products with chemical engineers and packaging engineers to enhance and reduce the cost of retail products. I have led the activities of multiple engineering groups with diverse backgrounds.
Great experience managing the product development of products which utilize complex electrical controls, high voltage power panels, product testing, and commissioning.
Created project scope, business case, ROI for multiple capital projects to support electrotechnical assembly and CPG goods. Identified project cost, risk, success criteria, and performed equipment qualifications. (Carrier, Electrolux, Biolab, Price, Hussmann)
Created detailed projects plans using MS Project, Gant charts in excel, and updated new product development in Jira for stakeholders and project team members including critical path.
Great knowledge of ISO9001, NFPA, OSHA regulations.
User level knowledge of MRP/SAP, MS Project, Powerpoint, Visio, Mastercontrol, JIRA, Power BI and Tableau.
I appreciate your consideration, and look forward to discussing this role with you, and how I can lead your company’s growth and profitability. I can be contacted via LinkedIn via phone or E Mail.
Jim Smith
678-993-7195
jimsmith30024@gmail.com
Artificial intelligence (AI) offers new opportunities to radically reinvent the way we do business. This study explores how CEOs and top decision makers around the world are responding to the transformative potential of AI.
The case study discusses the potential of drone delivery and the challenges that need to be addressed before it becomes widespread.
Key takeaways:
Drone delivery is in its early stages: Amazon's trial in the UK demonstrates the potential for faster deliveries, but it's still limited by regulations and technology.
Regulations are a major hurdle: Safety concerns around drone collisions with airplanes and people have led to restrictions on flight height and location.
Other challenges exist: Who will use drone delivery the most? Is it cost-effective compared to traditional delivery trucks?
Discussion questions:
Managerial challenges: Integrating drones requires planning for new infrastructure, training staff, and navigating regulations. There are also marketing and recruitment considerations specific to this technology.
External forces vary by country: Regulations, consumer acceptance, and infrastructure all differ between countries.
Demographics matter: Younger generations might be more receptive to drone delivery, while older populations might have concerns.
Stakeholders for Amazon: Customers, regulators, aviation authorities, and competitors are all stakeholders. Regulators likely hold the greatest influence as they determine the feasibility of drone delivery.
The Team Member and Guest Experience - Lead and Take Care of your restaurant team. They are the people closest to and delivering Hospitality to your paying Guests!
Make the call, and we can assist you.
408-784-7371
Foodservice Consulting + Design
W.H.Bender Quote 65 - The Team Member and Guest Experience
Neuromarketing: A Systematic Review of Scholarly Articles
1. International Journal of Engineering and Management Research e-ISSN: 2250-0758 | p-ISSN: 2394-6962
Volume-11, Issue-5 (October 2021)
www.ijemr.net https://doi.org/10.31033/ijemr.11.5.23
181 This Work is under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Neuromarketing: A Systematic Review of Scholarly Articles
Dr. Sourabh Bhattacharya1
and Prof. Moutan Roy2
1
Assistant Professor, School of Management & Social Science, Haldia Institute of Technology, INDIA
2
Assistant Professor, Department of Sociology, Haldia Government College, INDIA
1
Corresponding Author: sourabhb82@gmail.com
ABSTRACT
An extensive review of scientific literature on
neuromarketing was conducted for this report. includes a
full review of current-day issues of neuromarketing.
Keywords— Neuromarketing, Scholarly Articles,
Marketing, Management
I. INTRODUCTION
In the decade of 1950s, Vance Packard(1957)
was the first person who exclaimed at how advertising
agencies were utilizing knowledge of behavioural
science and cognitive psychology to push their product
based messages. Through this process, subliminal
advertising campaigns would get success. The reason for
this was to make advertisements which would have few
words and little arguments (Ellul, 1964, p. 364). The
main objective of the ad agencies was to present a
certain way of life. In other words, it can be said that the
objective was to implant in the mind of consumers a
certain desirable way of leading life(Girard, 1976). Over
the years the diagnostic aspects of neuro science have
been combined to give birth to a new field, a
combination of consumer psychology and marketing i.e.
neuro marketing. Through neuromarketing, the response
of consumer reaction towards advertising stimuli is
assessed by utilizing the brain and bioimaging
technologies. Over the years neuromarketing has proved
to be a very effective tool in assessing an ad‟s
effectiveness.
According to experts, neuromarketing is a
combination of biology, psychology and neuroscience
(Stanton et al., 2017; Plassmann, Venkatraman, Huettel,
& Yoon, 2015).Through neuromarketing, neurophysical
tools are utilized to study consumer buying
behaviour(Javor, Koller, Lee, Chamberlain, &
Ransmayr, 2013). Neuromarketing is also used to
mobilize customer demand for the marketer‟s product
(Farah, 2014). Neuromarketing has emerged as a very
strong tool in the hands of advertisers. Combining
behavioural psychology, brand mapping and imaging, its
helping marketers through different means. Offcourse, as
per critics, neuromarketing intends to manipulate
consumer buying behaviour by decoding the affect and
instinctive behaviour of consumers. Though
neuromarketing is an extension of traditional marketing,
but the forms of consumer persuasion are different.
When traditional marketing emphasizes on desire and
emotion, neuromarketing bypasses the reflective sensing
abilities of consumers. As per experts, neuromarketing
tends to learn the process through which people think
about buying a product.
Though neuromarketing is implemented in a lot
of areas but still in the world of academic research more
studies need to be done on it. According to Morin,(2011)
the reason for the lesser amount of studies, is that most
marketing researchers lack formal training in
neuroscience. Also there are concerns regarding privacy
and ethical issues of neuro marketing. Scholars are also
pointing towards the fact that despite high hopes
regarding neuromarketing are sold by the related
companies, still considering the current level of
technology it‟s not fully possible to penetrate fully into
subconscious mind(Wolpe 2004,Alpert 2007,Illes 2007,
Crockett 2012).
However, neuromarketing these days have
gained in popularity. A simple search in Google will
indicate that from a few hits in 2002, the number of hits
touched thousands in 2010(Morin,2011). At the present
moment, clients are increasingly asking ad agencies to
become more like partners, to take more active role in
decision making. Also it has become crucial in studying
consumer behaviour through brain imaging tools. Thus,
studying about neuromarketing has become very
important.
Through detailed review of scholarly articles,
this study will delve into various aspects of
neuromarketing starting from its application in
corporates upto ethical aspects. Through compilation of
results of different studies this study will try to give
directions for future studies.
II. THEORETICAL FRAMEWORK
A theoretical framework is always necessary
before getting into further details of literature reviews.
Previous studies need to be introspected, which had
analysed the different parts of human brain as they
played a significant role in emotional and cognitive
functions. (Solnais et al., 2013).
Decision Taking: A very significant function
of the human brain is decision taking. Throughout
lifespan of a person the brain takes and aids in different
types of decision makings. This is one of the reasons due
to which the brain constituting 2% of human body
consumes 20% of its energy. It‟s a common attribute of
2. International Journal of Engineering and Management Research e-ISSN: 2250-0758 | p-ISSN: 2394-6962
Volume-11, Issue-5 (October 2021)
www.ijemr.net https://doi.org/10.31033/ijemr.11.5.23
182 This Work is under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
consumers that they evaluate cost-benefit analysis of
products during purchase. The prefrontal cortex (PFC) of
the human brain takes an active part in decision making.
Both the ventrolater al prefrontal cortex (VMPFC) and
orbitofrontal cortex (OFC) engages in analysis of values,
outcomes and alternatives related to purchase(Daw,
O‟Doherty, Dayan, Seymour, & Dolan, 2006;Tremblay
& Schultz, 1999). According to Wallis(2007), the OFC
evaluates capacity of a product to satisfy needs and
related trade-offs. During unpredictable situations, it also
takes an active part in making the right choices(Elliott,
Dolan, & Frith, 2000). On the other hand, the
dorsolateral ventrolater al prefrontal cortex (DLPFC)
plays a role in big decision makings by putting cognition
over emotion (Rilling, King-Casas, & Sanfey, 2008).It
also compels human beings to go by social norms so as
not to confront with others (Rilling & Sanfey,
2011).PFC‟s cognitive ability gets down when a sure
gain is expected(Gonzalez, Dana, Koshino, & Just,
2005). Thus measuring the different regions of the brain
will help in their impact on neuro marketing.
Rewards Recognition: Another region has also
evinced interest among researchers. That part deals with
processing and recognition of rewards. The rewards can
be drugs (Wise & Rompré, 1989), money (Knutson,
Adams, Fong, & Hommer, 2001) and food (Berridge,
1996 ). Striatum, located at frontal part of brain plays in
reward processing and recognition of the brain as per
one‟s expectation(Knutson & Wimmer, 2007),
considering social factors(Fliessbac h et al., 2007 ). Also,
Ventral tegmental area (VTA).plays an active role in
reward processing and recognition. It also plays in the
transportation of dopamine also known as
neurotransmitter to other parts of the brain. VTA plays in
decision making and goal seeking behaviour of human
beings (Fields, Hjelmstad, Margolis, & Nicola, 2007).
Withdrawal and Approach Motivation: As
per neuroscience, human motivation is dependent on two
factors: anticipated positive outcome or possible
negative outcome which needs to be avoided. EEG
studies have proved that left frontal cortex leads to
approach behaviour(Davidson, 2004). Again the right
frontal cortex leads to withdrawal behaviour(Davidson,
2004 ). In other words left frontal cortex is responsible
for positive emotions(Harmon-Jones, 2003) and right
frontal cortex is responsible for negative
emotions(Harmon- Jones, 2003). The left-right
asymmetry of the brain is the main area of research for
neuromarketing experts as they play a pivotal role in
consumer attraction towards a brand or product.
Emotional Processing: Amygdala, also known
as the locus of fear and aversive memory(Maren &
Quirk, 2004) is another part of the brain which plays in
processing of unknown stimuli and negative emotion
(Rilling & Sanfey, 2011). To a little extent it also
processes positive emotion in connection with rewarding
stimuli (Murray, 2007). Another vital region of the
brain, the insular cortex carries out processing of risk
expectation or perception during the time of decision
making which involves financial or social risks(Knutson
& Bossaerts, 2007;Preuschoff, Quartz, & Bossaerts,
2008).Also an active insula leads to disgust and anger in
uncomfortable situations (Sanfey et al., 2003 ). When a
negative difference takes place between expectation and
output, the emotion of regret takes place through OFC
(Coricelli et al., 2005). Bush, Luu, & Posner(2000)
proved that anterior cingulate integrates motivational and
emotional information with decision making after
thorough evaluation. It also deals with conflict between
emotional and cognitive emotions (Sanfey et al., 2003).
Through the somantic marker theory (Reimann &
Bechara, 2010), the process of emotional decision
making can be further explained. As emotion plays a
very important role in purchase decision of customers so
brain mechanism studies are very essential in this
regard(Bagozzi, Gopinath, & Nyer, 1999). As no single
brain region is involved in overall emotional processes
so, the brain mechanisms need to be studied from an
overall point of view in order to implement
neuromarketing(Phan, Wager, Taylor, & Liberzon,
2002).
Memory and Attention: With regard to
memory, the hippocampus nestled in temporal lobe
carried out memory processing which is necessary in
advertisements recall and brand awareness (McGaugh,
2000). Next to the hippocampus is the amygdala which
acts as a modulator and consolidator of memory
system(McGaugh, 2000).
As product design, logos, advertisements,
captions, visual merchandising have aesthetic elements
so here also brain mechanisms are required in processing
of visual stimuli. The prefrontal cortex and occipital lobe
regions of brain are responsible for visual stimuli
processing (Armstrong, Fitzgerald, & Moore, 2006).
Thus the previous studies build up a strong foundation
for further introspection of different scholarly articles
related to neuro marketing.
III. METHODOLOGY
For literature review Transfield approach
(Tranfield et al. 2003) approach was adopted. The
review took place in stages.
In stage 1, by utilizing different databases
articles were searched.
In stage 2, the articles were monitored
emphasizing on the different aspects of neuromarketing.
For this, the keywords, abstract, title were given
emphasis. The keywords include neuro marketing,
neuroscience, consumer psychology, brain mapping etc.
In stage 3, articles were finalized for conducting
the study. In total, 102 articles were utilized for this
paper.
The following research question(RQ) was
proposed as per the study of Manimuthu et.al.,(2019).
What is Neuromarketing? How has it been
reflected in different scholarly articles?
3. International Journal of Engineering and Management Research e-ISSN: 2250-0758 | p-ISSN: 2394-6962
Volume-11, Issue-5 (October 2021)
www.ijemr.net https://doi.org/10.31033/ijemr.11.5.23
183 This Work is under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
IV. WHAT IS NEUROMARKETING?
According to Stanton et al.(2017),
Neuromarketing is that discipline through which
neurological tools are applied to gain insights into
decision making, taste and preferences, cognition of
consumers. It seeks to gain knowledge beyond
traditional means of marketing research with the
objectives of gaining new insights in marketing (Yoon et
al. 2012, Plassmann et al. 2015), right prediction of
consumer behaviour(Venkatraman et al. 2015; Boksem
and Smidts 2015; Smidts et al. 2014).As per Plassmann
et al. 2012, the distinction made between neuro science
and neuro marketing is that neuro marketing is the
branch of neuro science which is applied for industrial
purposes.
For the purpose of studies on neuro-marketing
several techniques are used by researchers. The first
technique used is Functional magnetic resonance
imaging(fMRI). fMRI measures deoxygenated
haemoglobin(Huettel et al. 2014). Deoxygenated
haemoglobin measures the neuronal activities related to
spatial resolution (upto one millimeter) and temporal
resolution(changes in terms of seconds). Infact neural
responses with regard to deoxygenated haemoglobin lead
to consumer response towards music which further
impacts sales (Berns and Moore, 2012).
Another technique used by neuro marketers is
electroencephalography (EEG). EEG measures electrical
activities of the brain by placing electrodes in scalp. In
order to show the example of utilization of EEG for
industrial use, Boksem and Smidts (2015) pointed out
responses of brain to movie trailers as estimated through
EEG. It can also help in giving an idea regarding single
additional response. Another technique named
Magnetoencephalography (MEG) measures fluctuating
magnetic fields instead of oscillating electrical activities.
Instead of brain imaging, as an alternative measure,
researchers can also estimate peripheral physiological
results such eye tracking, pupillometry, conductance,
skin, respiration and heart rate, placebo effects
(Venkatraman et al. 2014;Reimann et al. 2012;). Thus,
researchers can relate consumer experience with
physiological results.
Neuromarketing thus can measure not only
brain imaging techniques but also the above results.
V. HISTORY OF
NEUROMARKETING
As mentioned before, the combination of
neuroscience and marketing constitutes neuromarketing.
The term, neuromarketing cannot be attributed to a
single company or person. It started in an organized
manner since 2002. Companies like Sales Brain and
Brighthouse started offering these services(Morin,2011).
The main essence of neuromarketing is to look towards
consumer behaviour through the human brain. As per
Morin(2011), Mcclure(2004) was the first person to do
an academic research on neuromarketing. In his study he
asked customers to test Coca Cola and Pepsi and
measured their brain activities through an fMRI
machine. He showed that depending on the brand
consumption our brain definitely lights up. He showed
that a strong brand name like “Coca Cola” activates our
brain‟s frontal cortex.
Ariely & Burns(2004) on the other hand
pointed out towards the ethical aspects of
neuromarketing. They questioned the morality of neuro
marketers as neuromarketers openly said that there will
be a “Buy” button in the hands of marketers. Just by
clicking on that button they will be able to make
customers to buy their products. In 2005,Harper Collins
was the first publishing company to have coined the term
“Neuro Marketing” (Morin,2011). After that, though
there have been protests against neuro marketing none
have been able to put a dent on its rising popularity
among corporates. Infact, neuromarketing these days is a
multibillion dollar industry.
VI. PRACTICAL EXAMPLES ON
NEUROMARKETING
Before getting into more detailed analysis of
literature related to neuromarketing it‟s necessary to
know its practical applications. As per compilation done
by Farnsworth(2019), below are the practical
applications of neuromarketing:
a. Eye Gaze: Dooley(2009) found that for long,
advertisers have been putting adorable faces of
kids to attract the customers. Neuromarketing‟s
eye tracking technology has shown that simply
putting the kid is not enough as customers will
remain hooked towards the kid‟s face. That‟s
why the kid must look at the product or the text
so as to attract the attention of customers
towards the product.
b. Effective Packaging: Dube(2017) in her study
emphasized on effective packaging. It‟s a well
known fact that packaging is important to sell a
product. But, neuroimaging technologies have
taken packaging to a new level. Companies like
Frito-Lay and Campbell have found that
customers in neuro imaging have expressed
negative response to shining glitzy packaging.
Infact they prefer more of the matte looks.
That‟s why Frito-Lay removed all shiny looking
packages and replaced them with the matte
ones.
c. Colour: Colour puts a big impact on customers
and their physiological reactions. That‟s why
several brands use vibrant colours. Examples
are Coca Cola‟s red, Pepsi‟s blue. Several
brands catering towards young customers use
red as it increases heartbeats thus applicable in
case of emotions like love. On the other hand
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blue is a colour for professionalism. Uber used
black and white to show its premium
positioning.
d. Ad Efficiency: For decades, only the academic
and scientific researchers have spent valuable
time on brain imaging. Now, with the advent of
neuromarketing, fMRI technology(Functional
magnetic resonance imaging) is helping
marketers in a big manner to study consumer
behaviour. Consumers are shown different
types of advertising campaigns. Then their
response towards the campaigns is evaluated by
using fMRI. The one which will lead to greatest
reaction from consumers are used for the final
campaigning Thus, a successful ad campaign
can put significant impact on sales.
e. Decision Paralysis: Tugend(2010) found that
too many options make the customers confused.
Infact, too many choices act as a deterrent for
customers. By using different setups using
visual merchandising techniques(VM) displays
with different options fail to attract customers.
Great example in this regard is of Colgate and
Crest. Colgate presents fewer toothpaste options
for the customers. Crest on the other hand
presents huge number of options. There was a
time when Crest used to keep 70 different types
of tooth pastes on shelves. Infact, seeing
decision paralysis of customers, Colgate
combined all necessary nutrients in only one
product i.e. Colgate Total. Other brands who
have worked in this regard are Whole Foods,
Etsy, Nudge. That‟s why Puri(2016) said that
brands must provide lesser options and more
guidance to customers. Customer education and
not customer confusion should be the key.
f. Satisfaction Evaluation: Emotional Response
Analysis(ERA) is a very effective tool in the
hands of marketers to study a customer‟s
emotional response to a product advertisement.
All is good if positive response is expressed. In
case of negative response corrective actions
need to be taken.
g. Loss Aversion: Customers never want to lose
out on good deals. They are always looking for
deals. That‟s why brands always provide
different deals to customers in the form of
discounts, freebies and other promotions. That‟s
why “framing” is a concept which is used in the
world of neuro marketing. It says of a way
through which advertisers can place their
products to customers so that they will start
splurging their money.
h. Anchoring Effect: Miller(2016) found out that
“Anchoring” puts a great impact on customers.
According to neuroscientists, the first
information received by customers is very
crucial for the final decision making. It means
customers rarely evaluate products based on
their intrinsic worth. They go by the
surrounding features or facilities. In other
words, many times augmented product gets
more importance than core product.
i. Pace: Lindquist(2019) pointed out that Paypal
in its neuromarketing experiments on
customers, found out that the brain of customers
reacted more favourably to features like pace
and convenience rather than security and safety.
Seeing such test results, Paypal then designed
its advertisements accordingly.
j. Hidden Responses: Many times it has been
found that the insights from market
research on consumers fail. The reason is that
consumers hesitate to reveal their real feelings.
This hesitation stems from culture and past
experiences. Offline retailers find that many
times customers during filling up of feedback
forms opine that all is good in the store while
their inner feelings are different.
Neuromarketing can help researchers in this
regard. Snacks brand, Cheetohs, once found
that direct customer feedback and insights on
neuromarketing tests on them are totally
opposite.
k. Rewards and Punishments: Videogame
companies are using this tool very efficiently.
They always keep rewards at every stage of the
game. Neuromarketing studies have shown that
rewards increase the dopamine of the brain.
Dopamine is also known as “Neurotransmitter”.
A neurotransmitter is associated with positive
feelings which make the game more engaging.
l. Prototype: Prototypes are also very effective
for companies. Hyundai in its EEG study
studied brain activities to know how consumer
brain would react to different car designs.
Based on the results it changed the exterior
design of its cars.
m. Pricing: Wadhwa & Zhang(2014) carried out
their study on pricing and consumer behaviour.
They said that rounded numbers based pricing
encourage reliance on feelings. Whereas non
rounded numbers emphasizes on cognition.
n. Layout: Both online and offline retailers are
carrying out different experimentations with
regard to layout. design of the store, customer
traffic, timing, colour, lighting, props in order
to attract, entice and engage customers.
VII. CONSUMER NEUROSCIENCE
A good number of researchers carried out their
studies by accepting neuromarketing as “consumer
neuroscience”. Studies on consumer neuroscience will
be crucial to understand neuromarketing.
In the first decade, efforts were made to
understand how consumer neuroscience impacts
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consumer decision making. In their study, Smidts et
al.(2014) inspected the progress of consumer
neuroscience and compared it with the related disciplines
of neuro economics.. Three new upcoming frontiers
were discussed considering applied and theoretical levels
of neuroscience. First, the field will evolve to include
molecular neurology and genetics to gain greater insights
into consumer decision making. Second, recent progress
made in computing power will lead to a lot of progress
in neuroscience. Third, neuroscientists will synthesize
the specificity and consistency of the consumer brain.
Just like Smidts et al.(2014), another group of
researchers, Plassmann et al.(2015) also studied the
progress of research on neural processes affecting human
decision and judgement. For more progress the
marketing implementations of technological
advancements must be also taken into consideration. For
this, Plassmann et al.(2015) suggested five paths
through which neuro science can be applied in marketing
in the form of neuromarketing. The paths are mechanism
identification, implicit process measurement,
dissociation between psychological processes,
understanding individual differences and lastly
improving behavioural predictions. They also outlined
three challenges faced by neuromarketers which are as
per below:
a. Consumer neuroscience tends to understand the
consumer‟s brain and not his behaviour.
b. In order to study psychological processes,
primarily, consumer neuroscience relies on
backward inference.
c. Neuroimaging studies are more generalizable
and reliable than older marketing studies.
With the boom in neuroscience and its effectiveness
in studying brain mechanisms the ultimate result was
consumer neuroscience through which researchers tried
to study consumer behaviour. However few marketing
scholars are still hesitant in using neuroscience as they
are still not sure about effectiveness of neuroimaging
data. In order to fill up the gaps in this regard through a
semantic cluster analysis, Solnais et al.(2013) carried out
review on 34 scholarly articles.. Then they framed an
approach of classifying and analysing the data with
regard to emotions, memory, rewards and decision-
making. They also discussed contributions of several
brain mechanisms and how the results could be
integrated with traditional consumer behaviour theories.
Another factor which play very significantly in
the world of consumer neuroscience is color. Colors play
an important role in cognitive reactions of the brain. As
proved by EEG signals different colors lead to different
mental arousals and cognitive activities. As color plays
an important role in packaging industry so, for
neuromarketers it acts as a treasure-trove of great
insights. That‟s why Rakshit & Lahiri(2016) studied
about the impact of colour on cognitive state of
consumers. Their study also dealt with different colors
from EEG signals so as to study their impact. Based on
four color stimuli; blue, yellow, green, red they studied
the different activation areas of the brain with regard to
each color. Their study also employed an Interval-Type-
II fuzzy space classifier in order to distinguish between
the different stimuli. They found that the classification
rate is minimum for yellow color and maximum in case
of red. Applying the Friedman test(1940) they showed
how the colors can be effective in packaging world.
Gurbuz & Toga(2018) on the other hand used
the FACS (Facial Action Coding System) for consumer
gender profiling. Their study had two objectives. First
objective was to determine the best product family and
most appropriate sector for neuromarketing application
related to Multi Criteria Decision Making (MCDM).
With the help of literature review the most suitable
sectors for neuromarketing applications were decided by
them as the sectors of retailing, information technology,
automotive and finance. Again, through questionnaire
survey, the most proper product family and sector were
chosen by using Grey Relational Analysis (GRA) and
Analytical Hierarchy Process (AHP). The second
objective was to implement neuromarketing based on the
GRA results. FACS was used to study gender profile of
customers with relation to product family. The results
proved the effectiveness of FACS in studying customer
gender profiles. Finally through the Artificial Neural
Network (ANN), relationships between FACS results
and customer profile were analysed.
A very important point to be noted in this
regard is that Functional Magnetic Resonance Imaging
(fMRI) studies are proving to be crucial in all
neuroscientific studies. That‟s why Dimoka(2012) in her
study outlined the guidelines of conducting fMRI studies
so as to generate great effectiveness. In her study she
also discussed the different steps required to conduct
fMRI tests properly thus contributing to existing
literature.
In another study, Dimoka et al.(2012) discussed
the contribution of neuroimaging tools (e.g., fMRI,
EEG) and psychophysiological tools (e.g., EKG , eye
tracking) in consumer neuroscientific studies. The article
at first discussed on the several neurophysiological tools
and their related strengths and weaknesses. It then got
into several application areas of neurophysiological tools
and how it can be utilized by neuromarketers.. The
research topic had been presented based on three points:
(1) Use and development of the systems. (2) Strategies
and resultant business outcome, and (3) Decision support
through group work.
In the study of Coulter, Zaltman &
Coulter(2001), fourteen consumers were interviewed by
using the Zaltman Metaphor Elicitation Technique. The
study was conducted to understand consumer perception
with regard to advertising. The metaphors used in the
study showed that it provides information, entertainment.
However, their study also showed that advertising has its
own share of liabilities.
Getting out of the bandwagon, Morin(2011)
with a different point of view, theoretically discussed in
his paper, the concept of neuromarketing in details.He
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also described regarding how neuromarketing can help
in enhancing effectiveness of both cause related and
commercial advertisements.
Lalst but not the least, consumer neuroscience
is now spreading its tentacles in luxury retailing. As per
neuromarketers, it‟s necessary to study brain responses
with regard to a luxury product to a simple branded
product. As per social facilitation theory and utilizing
electroencephalogram methods, Pozharliev(2015)
studied the events of luxury purchase when female
participants were given basic and luxury branded
products to view passively. The results showed that the
presence of a person enhances the emotional appeal of
both a luxury brand as well as a basic brand.
VIII. MARKETING
Practitioners for long have been studying on
branding and how it can be used for lots of benefits like
differentiation, competitive advantage, providing
customer value and high quality of service. Very less
studies have taken place considering cross culture,
anthropology and neuromarketing. These days
companies are taking help of neuromarketing for entry
into markets. Thus, the analysis of Lukac &
Schafer(2010) will prove to be handy as they studied on
the entry of Deutsche Telekom in Serbia and Croatia.
Their study considered both the cultural as well as
neurological aspects of customers. A similar study was
also carried out by Nemorin(2017) with special focus on
“animalization of thinking”.
Chen(2007) also studied about how
neuroscience can be applied in better marketing
performance. He carried out his study based on Gini
Index, Decision Tree, Bayesian classification. These
analysis help in identification of profitable customers.
Based on the R-F-M (recency, frequency, monetary
amount) concept, further calculation can be done on the
customer lifetime value and marketing profit.
Though a good number of studies have dealt
with how brand perception and price influence consumer
behaviour, but very few studies have delved into the
placebo effects of marketing. In their study Plassmann
& Weber(2015) studied on the individual differences of
placebo effects of marketing as received from
behavioural and brain imaging experiments. The
experiments show that consumers with high needs of
cognition can be influenced more effectively with
marketing placebo than reward seeking ones.
On the other hand,Gang et al.(2012) carried out
a general study on neuromarketing through review of
scholarly articles drawing relation between
neuromarketing and perceived quality, price, brand,
consumer buying decision, services marketing and
product management. They also discussed on the
advantages and disadvantages of fMRI and future path of
neuromarketing.
In order to study brand choice, response latency
neurophysiological activation, with regard to familiar
and novel brands, Reimann et al.(2012) carried out two
experiments. Their results pointed out that (1) Positive
moods lead customers to choose novel brands over
familiar brands (2) Novel brands are related to longer
choice timing than familiar brands (3) An fMRI study
proved that ventro medial prefrontal cortex and cingulate
gyrus play a big role in the comparison between novel
and familiar brands.
Since the 1890s, though psychophysiological
devices have played a big role in marketing and
consumer research still their mentioning have been less
in literature. But these devices had always been
significant in marketing research. Thus,
Schwarzkopf(2015) in his study had done a post human
view of the genealogy of neuromarketing.. He concluded
that for researchers, neuromarketing has opened up a
great path of bypassing verbalized cognition of
consumers rather introspecting into their physiological
reactions. Mentionably, Jain et al.(2018) carried out a
study on the real time applications neuromarketing based
on EEG signal classifications.
Sensation takes place when the stimulus puts an
impact on a sensory organ‟s receptor cells. Sensation is
both neurological and biochemical in nature. Time and
again experts are telling that in order to become
successful a brand has to appeal to the senses of
consumers. That‟s why Krishna(2012)in her paper gave
an integrative view of sensory marketing – marketing
that appeals to senses of consumers. Based on literature
review she had put down the elements of sensory
marketing. The elements are haptics, smell, audition,
taste, consumption and satiety. Thus, all neuromarketers
must keep the above elements in mind in order to have a
top of the mind recall among customers.
In order to bring a new direction in current
studies on neuromarketing, the study of Cerf et al.(2015)
introduced the concept of single neuron recording for
consumer and marketing researchers. In the first stage
the authors gave a detailed account of different aspects
on single neuron recording. In the second stage, they
pondered upon its relevance and its application in areas
like experience recall, sensory differentiation between
familiar and novel brands and categorization. Lastly,
they showed regarding how single neuron study data are
collected and analysed. They also showed that firing rate
of neurons increase with emotion enhancement.
Lastly, Lim(2018) discussed the ways through
which neuromarketing can be applied in business-to-
business (B2B) marketing. Through their discussion they
also detailed the frontiers and boundaries with regard to
B2B marketing. Insights have been shared regarding
what neuromarketing can and cannot do for B2B
marketing. Lastly, it can be concluded that his article did
answer a good number of questions related to
neuromarketing and B2B marketing.
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IX. ADVERTISING
Neuromarketing has also got its application in
advertising world. Now, what are studies saying in this
regard?
Daugherty, Hoffman & Kennedy(2016) in their
research introspected about advertisements and their
impact on customers. They did it based on EEG studies.
On the other hand Venkatraman et
al.(2015)used an experimental framework to understand
the effectiveness of current neurological methods
currently used to study marketing phenomenon. They
studied the effectiveness of different neurological tools
namely, functional magnetic resonance imaging,
electroencephalography, biometrics, eye tracking,
implicit measures and traditional self-reports. The
authors showed that the tools effectively capture higher
level constructs of advertising research in terms of
desirability, memory, affect and attention with functional
magnetic resonance imaging can show the best variance
in advertising elasticity over and above traditional
methods.
Lastly, Craig et al.(2012) through primary
functional magnetic resonance imaging data studied
how consumers differentiate between an advertisement
as deceptive or trustworthy. They wanted to study the
cognitive mechanisms behind such a study. They found
out activations at two stages namely precuneus
activation; temporal-parietal and superior temporal
sulcus junction activation. They also found that brain
activities are more in case of moderately deceptive
advertisement rather than the highly deceptive ones.
X. PRICING
Price plays a very important role in consumer
decision making. Consumers generally evaluate the
worth of a product based on price and associated
features. Karmarkar, Shiv & Knutson(2015) studied the
factor of price primacy by analysing functional magnetic
resonance imaging of the prefrontal cortex. The authors
found that respondents evaluate a product fully based on
its attractiveness or features. But when price is shown to
them beforehand, they then evaluate the total worth of
the product along with the price. Thus, it was proved that
if worth is rightly determined, price primacy can play a
major role in overall consumer decision making.
On the other hand, Berns(2005) carried out a detailed
literature review on pricing, placebo and brain. He gave
a brief account of placebo of the brain by analysing 15
scholarly articles.
Lastly, Shiv, Carmon, and Ariely (2005) showed through
detailed advertisements that price paid for a beverage not
only affects the perceived benefit but also acts positively
in terms of placebo effects.
XI. SALES MANAGEMENT
After application of neuro science in marketing,
advertising, pricing the next thing it‟s getting applied is
sales management. Infact marketers are exploiting neuro
science in a big manner to appeal more effectively
before customers.
McClaren(2013) carried out a comprehensive
literature review of scholarly articles related to personal
selling and sales management. There he discussed
regarding how neuromarketing tools can be effectively
used by salesmen for better productivity by considering
the studies of Ariely & Berns(2010) and Gountas &
Ciorciari(2010).
Nickels, Everett & Klein(1983) did one of the
earliest studies related to neuromarketing by showing
that how salesmen could perform better if they combine
neuro linguistic tools along with their selling skills.
XII. OTHER STUDIES
Some studies conducted on various other areas
connecting neuro marketing as per the below:
A breach of trust is always a significant event
given the strength of relationship. In their study, Schilke,
Reimann & Cook(2013) tried to find a key feature of
relationship that impacts trust recovery and the spread of
relationship before trust breach. The study found that
stronger relationship before trust breach helps in trust
recovery. They proved it through neuroimaging study of
activations of the brain. The lateral frontal cortex and
anterior cingulate cortex plays significant roles in the
whole process behind relationship, trust breach and trust
recovery.
These days, neuro marketers are implementing
remote sensing technologies in order to study about
different habits and decision process of customers.
Nemorin & Gandy(2017) intends to study the impact of
neuro marketer‟s reliance on direct and indirect forms of
remote sensing. The data generated through functional
magnetic resonance imaging(fMRI), analysed through
machine learning techniques enables companies to carry
out proper market segmentation, targeting and
positioning.
In their paper, Schneier & Woolgar(2012) drew
attention to the fact that how neuromarketing reveals a
certain part or version of a customer. The revelation
reflects what is actually the case, the reason of their
selection of one product/brand over another and what is
the hidden case, the other side which customers don‟t
reveal.. This contrast is the main essence of their study.
Last but not the least is the fact that the concept
of neuromarketing is even revolutionizing the world of
economics. Economics is the discipline with deals the
satisfaction of unlimited needs and wants with limited
resources. With this aim in mind, certain factors like
choice under uncertainty, strategic choice need to be
kept in mind. From economics with the combination of
neuroscience two hybrid concepts have emerged in the
form of “Psycho economics” and “Neuro economics”.
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Psycho economics deals with the observations carried
out on mental processes responsible in consumer
decision making. It deals with mental states that gives
shape for giving birth to a decision. Neuroeconomics on
the other hand study brain imaging to understand the
functioning of brain with regard to buying decision. It
also studies the different activations of brain leading to
the final purchase decision. In her paper, Walliser(2012)
discussed on the epistemological issues of these two
disciplines.
XIII. ETHICAL ASPECTS OF
NEUROMARKETING
Neuromarketing has definitely a good number
of plus points. Since its arrival, marketers are utilizing it
for great benefits. Infact due to neuromarketing,
marketers are getting great insights into the thought
process of consumers. But there are also ethical aspects
of neuromarketing which have been justifiably shown in
different studies. Researchers fear that with the help of
neuromarketing, marketers can have a “Buy” button to
click right in the brain of consumer which is alarming.
So studies need to be discussed in this regard.
Lindell and Kidd(2013) showed that marketers
of educational products use neuro marketing related
names for their products even though their intrinsic value
is not so much. Terms related to brains are intentionally
used to attract customers. Unnecessarily they also put
brain images on the product packages to enhance
scientific rationale. Thus this is one way of manipulating
the customers.
Stanton, Armstrong & Huettel(2017) did a more
detailed study with regard to ethical aspects of
neuromarketing. Based on other studies and their own
findings, they listed a detailed account of common
ethical concerns of customers and also the ethical
questions faced by companies. The ethical concerns of
consumers are regarding marketer‟s increasing ability in
prediction(Smith et al., 2010; Soon et al., 2013; Telpaz
et al. 2015) and influence (Ferraro et al., 2009; Durante
et al., 2011; Duhigg, 2012; Saad and Stenstrom, 2012;
Clithero and Rangel,2013; Durante and Arsena, 2015) of
consumer choice, privacy(Murphy et al., 2008), increase
in price (Plassmann et al., 2008), fuelling of
consumerism, lack of transparency with regard to taking
consent(Kelly 2013; Kramer et al. 2014).
In another study, Wilson, Gaines & Hill(2008)
examined the connection of neuromarketing with
consumer freewill. Thus they studied the ethical aspects
of hurting consumer privacy. For this study they
emphasized on the understanding, consent and
awareness of consumers.
XIV. CONCLUSION
The paper carried out an in depth study of
scholarly articles on neuromarketing. Through literature
review, it attempted to give a detailed account of
different aspects of neuromarketing as happening in the
current world. From introduction, theoretical framework
the study goes on discussing in details about
methodology, basic concept of neuromarketing, history,
practical implementations, to the different areas of
research done on the topic namely in consumer
neuroscience, marketing, advertising, pricing, sales
management, miscellaneous topics and lastly ethical
aspects. Though neuromarketing is growing at a huge
pace, getting very popular as days are passing but one
can‟t deny its ethical aspects. Future researchers must
carry out study on the human brain as per scientists, Man
has been able to study only 20% of the human brain.
More needs to be studied. Also future studies must get
into indepth analysis regarding the ethical pitfalls of
neuromarketing. Corporates must also come forward in
these studies as neuromarketing holds great potential.
The main objective of corporate research should be to
see how more insights can be gained without harming
consumer privacy.
REFERENCE
[1] Alpert, S. (2007). Brain privacy: how can we protect
it?. The American Journal of Bioethics, 7(9), 70-73.
[2] Ariely, D. & Berns, G. S. (2010). Neuromarketing:
The hope and hype of neuroimaging in business. Nature
Reviews Neuroscience, 1, 284-292.
[3] Armstrong, K. M., Fitzgerald, J. K., & Moore, T.
(2006). Changes in visual receptive fieldswith
microstimulation of frontal cortex. Neuron, 50(5), 791–
798.
[4] Bagozzi, R. P., Gopinath, M., & Nyer, P. U. (1999).
The role of emotions in marketing. Journal of the
Academy of Marketing Science, 27(2), 184–206.
[5] Berns, G. S. & Moore, S. E. (2012). A neural
predictor of cultural popularity. Journal of Consumer
Psychology, 22, 154–160.
[6] Berns, G. S. (2005). Price, placebo, and the
brain. Journal of Marketing Research, 42(4), 399-400.
[7] Boksem, M. A. S. & Smidts, A. (2015). Brain
responses to movietrailers predict individual preferences
for movies and their population-wide commercial
success. Journal of Marketing Research, 52, 482.
[8] Bush, G., Luu, P., & Posner, M. I. (2000). Cognitive
and emotional influencesin anterior cingulate cortex.
Trends in Cognitive Sciences, 4(6), 215–222.
[9] Cerf, M., Greenleaf, E., Meyvis, T., & Morwitz, V.
G. (2015). Using single-neuron recording in marketing:
opportunities, challenges, and an application to fear
enhancement in communications. Journal of Marketing
Research, 52(4), 530-545.
[10] Chen, T. S. (2007, Aug). The empirical study of
applying neuro to escalate marketing performance.
In: International Conference on Machine Learning and
Cybernetics, 1, 287-292.
9. International Journal of Engineering and Management Research e-ISSN: 2250-0758 | p-ISSN: 2394-6962
Volume-11, Issue-5 (October 2021)
www.ijemr.net https://doi.org/10.31033/ijemr.11.5.23
189 This Work is under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
[11] Clithero, J. A. & Rangel, A. (2013). Informatic
parcellation of the network involved in the computation
of subjective value. Social, Cognitive, and Affective
Neuroscience, 9, 1289–1302.
[12] Coricelli, G., Critchley, H. D., Joffily, M.,
O‟Doherty, J. P., Sirigu, A., & Dolan, R. J. (2005).
Regret and its avoidance: Aneuroimaging study of
choice behavior. Nature Neuroscience, 8(9), 1255–1262.
[13] Coulter, R. A., Zaltman, G., & Coulter, K. S.
(2001). Interpreting consumer perceptions of advertising:
An application of the Zaltman Metaphor Elicitation
Technique. Journal of Advertising, 30(4), 1-21.
[14] Craig, A. W., Loureiro, Y. K., Wood, S., &
Vendemia, J. M. (2012). Suspicious minds: Exploring
neural processes during exposure to deceptive
advertising. Journal of Marketing Research, 49(3), 361-
372.
[15] Daugherty, T., Hoffman, E., & Kennedy, K. (2016).
Research in reverse: Ad testing using an inductive
consumer neuroscience approach. Journal of Business
Research, 69(8), 3168-3176.
[16] Davidson, R. J. (2004). What does the prefrontal
cortex „„do‟‟ in affect: Perspectives on frontal EEG
asymmetry research. Biological Psychology, 67(1), 219–
234.
[17] Daw, N. D., O‟Doherty, J. P., Dayan, P., Seymour,
B., & Dolan, R. J. (2006). Cortical substrates for
exploratory decisions in humans. Nature, 441(7095),
876–879.
[18] Dimoka, A., Davis, F. D., Gupta, A., Pavlou, P. A.,
Banker, R. D., Dennis, A. R., ... & Kenning, P. H.
(2012). On the use of neurophysiological tools in IS
research: Developing a research agenda for
NeuroIS. MIS Quarterly, 679-702.
[19] Dimoka, A. (2012). How to conduct a functional
magnetic resonance (fMRI) study in social science
research. MIS Quarterly, 811-840.
[20] Dooley,R. (2009). Child labor: Put that baby to
work!. Available at:
https://www.neurosciencemarketing.com/blog/articles/ba
by-heat-maps.htm.
[21] Dube,E. (2017, Sep). Neuromarketing 101: What is
neuromarketing and how are companies using it?.
Available at:
https://www.impactbnd.com/blog/neuromarketing.
[22] Duhigg, C. (2012). How companies learn your
secrets (Electronic Version). The New York Times.
Available at:
http://www.nytimes.com/2012/02/19/magazine/shopping
-habits.html?pagewanted=all&_r=1&.
[23] Durante, K. M., & Arsena, A. R. (2015). Playing the
field: The effect of fertility on women‟s desire for
variety. Journal of Consumer Research, 41, 1372–1391.
[24] Durante, K. M., Griskevicius, V., Hill, S. E.,
Perilloux, S. E., & Li, N. P. (2011). Ovulation, female
competition, and product choice: Hormonal influences
on consumer behavior. Journal of Consumer Research,
37, 921–934.
[25] Elliott, R., Dolan, R. J., &Frith, C. D.
(2000).Dissociable functions in the medial and lateral
orbitofrontal cortex: Evidence from human
neuroimaging studies. Cerebral Cortex, 10(3), 308–317.
[26] Ellul, J. (1964). The technological society. New
York: Vintage.
[27] Farah, M. J. (2014). Brain images, babies, and
bathwater: Critiquing critiques of functional
neuroimaging. Hastings Center Report, 44(s2): S19–
S30. DOI:10.1002/hast.295.
[28] Farnsworth, B. (2019, Mar). 15 powerful examples
of neuromarketing in action. Available at:
https://imotions.com/blog/neuromarketing-examples/.
[29] Ferraro, R., Bettman, J. R., & Chartrand, T. L.
(2009). The power of strangers: The effect of incidental
consumer brand encounters on brand choice. Journal of
Consumer Research, 35, 729–741.
[30] Fields, H. L., Hjelmstad, G. O., Margolis, E. B., &
Nicola, S. M. (2007). Ventral tegmental area neurons in
learned appetitive behavior and positive reinforcement.
Annual Review of Neuroscience, 30, 289–316.
[31] Fliessbach, K., Weber, B., Trautner, P., Dohmen,
T., Sunde, U., Elger, C. E., et al. (2007). Social
comparison affects reward-related brain activity in the
human ventral striatum. Science, 318(5854), 1305–1308.
[32] Friedman, M. (1940). A comparison of alternative
tests of significance for the problem of m rankings. The
Annals of Mathematical Statistics, 11(1), 86-92.
[33] Gang, D. J., Lin, W., Qi, Z., & Yan, L. L. (2012,
May). Neuromarketing: marketing through science.
In 2012 International Joint Conference on Service
Sciences, pp. 285-289.
[34] Girard, R. (1976). Deceit, desire, and the novel: Self
and other in literary structure. Baltimore, MD: Johns
Hopkins University Press.
[35] Gonzalez, C., Dana, J., Koshino, H., &Just, M.
(2005).The framing effect and risky decisions:
Examining cognitive functions with fMRI. Journal of
Economic Psychology, 26(1), 1R20.
[36] Gountas, J. & Ciorciari, J. (2010). Inside the minds
of trendsetters. Australasian Science, 31, 14-17.
[37] Gurbuz, F. & Toga, G. (2018, Oct). Usage of the
facial action coding system to predict costumer gender
profile: A neuro marketing application in TURKEY. In:
2nd International Symposium on Multidisciplinary
Studies and Innovative Technologies (ISMSIT), pp. 1-4.
[38] Harmon-Jones, E. (2003). Clarifying the emotive
functions of asymmetrical frontal cortical activity.
Psychophysiology, 40(6), 838–848.
[39] Huettel, S. A., Song, A. W., & McCarthy, G.
(2014). Functional magnetic resonance imaging. (3rd
ed.). Sunderland: Sinauer Associates.
[40] Illes, J. (2007). Empirical neuroethics. EMBO
Reports, 8(S1), S57-S60.
[41] Jain, A., Choudhury, T., Singh, R., & Kumar, P.
(2018, Jun). EEG signal classification for real-time
neuro marketing applications. In: International
Conference on Advances in Computing and
Communication Engineering (ICACCE), pp. 434-438.
10. International Journal of Engineering and Management Research e-ISSN: 2250-0758 | p-ISSN: 2394-6962
Volume-11, Issue-5 (October 2021)
www.ijemr.net https://doi.org/10.31033/ijemr.11.5.23
190 This Work is under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
[42] Javor, A., Koller, M., Lee, N., Chamberlain, L., &
Ransmayr, G. (2013). Neuromarketing and consumer
neuroscience: Contributions to neurology. BMC
Neurology, 13. Available at:
https://bmcneurol.biomedcentral.com/articles/10.1186/1.
[43] Karmarkar, U. R., Shiv, B., & Knutson, B. (2015).
Cost conscious? The neural and behavioral impact of
price primacy on decision making. Journal of Marketing
Research, 52(4), 467-481.
[44] Kelly, S. (2013). Testing drugs on the developing
world. The Atlantic. Available at:
http://www.theatlantic.com/health/archive/2013/02/testin
gdrugs-on-the-developing-
world/273329/#articlecomments.
[45] Knutson, B. & Bossaerts, P. (2007). Neural
antecedents of financial decisions. The Journal of
Neuroscience, 27(31), 8174–8177.
[46] Knutson, B. & Wimmer, G. E. (2007). Splitting the
difference: How does the brain code reward episodes?.
Annals of the New York Academy of Sciences, 1104, 54–
69.
[47] Kramer, A. D. I., Guillory, J. E., & Hancock, J. T.
(2014). Experimental evidence of massive-scale
emotional contagion through social networks.
Proceedings of the National Academy of Sciences,
111(24), 8788–8790.
[48] Krishna, A. (2012). An integrative review of
sensory marketing: Engaging the senses to affect
perception, judgment and behavior. Journal of Consumer
Psychology, 22(3), 332-351.
[49] Lim, W. M. (2018). What will business-to-business
marketers learn from neuro-marketing? Insights for
business marketing practice. Journal of Business-to-
Business Marketing, 25(3), 251-259.
[50] Lindell, A. K. & Kidd, E. (2013). Consumers favor
“right brain” training: the dangerous lure of
neuromarketing. Mind, Brain, and Education, 7(1), 35-
39.
[51] Lindquist, M. (2019). TBT: Remembering five of the
best-known cases in neuromarketing. Available at:
http://www.straylight.se/tbt-remembering-five-of-the-
best-known-cases-in-neuromarketing/.
[52] Lukac, D. & Schäfer, M. (2010, Sep).
Determination of appropriate brand entry mode for SOE
telecommunication market: A neuro marketing and
cross-cultural perspective. In: SoftCOM 2010, 18th
International Conference on Software,
Telecommunications and Computer Networks, pp. 386-
391.
[53] Manimuthu, A., Rejikumar,G., & Marwaha,D.
(2019). A literature review on Bitcoin: Transformation
of crypto currency into a global phenomenon. IEEE
Engineering Management Review 47(1), 28-35.
[54] Maren, S. & Quirk, G. J. (2004). Neuronal
signalling of fear memory. Nature Reviews
Neuroscience, 5(11), 844–852.
[55] McClaren, N. (2013). The personal selling and sales
management ethics research: Managerial implications
and research directions from a comprehensive review of
the empirical literature. Journal of Business
Ethics, 112(1), 101-125.
[56] McClure, S. M., Li, J., Tomlin, D., Cypert, K. S.,
Montague, L. M., & Montague, P. R. (2004). Neural
correlates of behavioral preference for culturally familiar
drinks. Neuron, 44(2), 379-387.
[57] McGaugh, J. L. (2000). Memory –Acentury of
consolidation. Science, 287(5451), 248–251.
[58] Miller, L. (2016,June). How to anchor positive
emotion and memory. Available at:
https://www.cobizmag.com/Business-Insights/How-to-
anchor-positive-emotion-and-memory/.
[59] Morin, S. (2017). Neuromarketing and the “poor in
world” consumer: how the animalization of thinking
underpins contemporary market research
discourses. Consumption Markets & Culture, 20(1), 59-
80.
[60] Morin, C. (2011). Neuromarketing: the new science
of consumer behavior. Society, 48(2), 131-135.
[61] Murphy, E. R., Illes, J., & Reiner, P. B. (2008).
Neuroethics of neuromarketing. Journal of Consumer
Behavior, 7, 293–302.
[62] Murray, E. A. (2007). The amygdala, reward and
emotion. Trends in Cognitive Sciences, 11.
[63] Nemorin, S. & Gandy Jr, O. H. (2017). Exploring
neuromarketing and its reliance on remote sensing:
social and ethical concerns. International Journal of
Communication, 11, 21.
[64] Nickels, W. G., Everett, R. F., & Klein, R. (1983).
Rapport building for salespeople: A neuro-linguistic
approach. Journal of Personal Selling & Sales
Management, 3(2), 1-7.
[65] Packard, V. (1957). Hidden persuaders. London,
UK: Longmans Green.
[66] Phan, K. L., Wager, T., Taylor, S. F., & Liberzon, I.
(2002). Functional neuroanatomy of emotion: Ameta-
analysis of emotion activation studies in PET and fMRI.
NeuroImage, 16(2), 331–348.
[67] Plassmann, H. & Weber, B. (2015). Individual
differences in marketing placebo effects: Evidence from
brain imaging and behavioral experiments. Journal of
Marketing Research, 52(4), 493-510.
[68] Plassmann, H., O‟Doherty, J., Shiv, B., & Rangel,
A. (2008). Marketing actions can modulate neural
representations of experienced pleasantness.
Proceedings of the National Academy of Sciences, 105,
1050–1054.
[69] Plassmann, H., Ramsoy, T. Z., & Milosavljevic, M.
(2012). Branding the brain: A critical review and
outlook. Journal of Consumer Psychology, 22, 18–36.
[70] Plassmann, H., Venkatraman, V., Huettel, S., &
Yoon, C. (2015). Consumer neuroscience:
Applications,challenges, possible solutions. Journal of
Marketing Research, 52(4), 427–435.
[71] Pozharliev, R., Verbeke, W. J., Van Strien, J. W., &
Bagozzi, R. P. (2015). Merely being with you increases
my attention to luxury products: Using EEG to
understand consumers' emotional experience with luxury
11. International Journal of Engineering and Management Research e-ISSN: 2250-0758 | p-ISSN: 2394-6962
Volume-11, Issue-5 (October 2021)
www.ijemr.net https://doi.org/10.31033/ijemr.11.5.23
191 This Work is under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
branded products. Journal of Marketing Research, 52(4),
546-558.
[72] Puri,R. (2016, Aug). Improve customer engagement
by tackling decision paralysis. Available at:
https://www.braze.com/blog/decision-paralysis-
marketing/.
[73] Rakshit, A. & Lahiri, R. (2016, Jul). Discriminating
different color from eeg signals using interval-type 2
fuzzy space classifier (a neuro-marketing study on the
effect of color to cognitive state). In: 2016 IEEE 1st
International Conference on Power Electronics,
Intelligent Control and Energy Systems (ICPEICES), pp.
1-6.
[74] Reimann, M. & Bechara, A. (2010). The somatic
marker framework as aneurological theory of decision-
making: Review, conceptual comparisons, and future
neuroeconomics research. Journal of Economic
Psychology, 31(5), 767–776.
[75] Reimann, M., Castano, R., Zaichkowsky, J., &
Bechara, A. (2012). How we relate to brands:
Psychological and neurophysiological insights into
consumer-brand relationships. Journal of Consumer
Psychology, 22, 128–142.
[76] Reimann, M., Castaño, R., Zaichkowsky, J., &
Bechara, A. (2012). Novel versus familiar brands: An
analysis of neurophysiology, response latency, and
choice. Marketing Letters, 23(3), 745-759.
[77] Rilling, J. K., King-Casas, B., & Sanfey, A. G.
(2008).The neurobiology of social decision-making.
Current Opinion in Neurobiology, 18(2), 159–165.
[78] Rilling, J. K. & Sanfey, A. G. (2011). The
neuroscience of social decision-making. Annual Review
of Psychology, 62, 23–48.
[79] Saad, G. & Stenstrom, E. (2012). Calories, beauty,
and ovulation: The effects of the menstrual cycle on food
and appearancerelated consumption. Journal of
Consumer Psychology, 22,102–113.
[80] Sanfey, A. G., Rilling, J. K., Aronson, J. A.,
Nystrom, L. E., & Cohen, J. D. (2003). The neural basis
of economic decision-making in the ultimatum game.
Science, 300(5626), 1755–1758.
[81] Schilke, O., Reimann, M., & Cook, K. S. (2013).
Effect of relationship experience on trust recovery
following a breach. Proceedings of the National
Academy of Sciences, 110(38), 15236-15241.
[82] Schneider, T. & Woolgar, S. (2012). Technologies
of ironic revelation: Enacting consumers in
neuromarkets. Consumption Markets & Culture, 15(2),
169-189.
[83] Schwarzkopf, S. (2015). Measurement devices and
the psychophysiology of consumer behaviour: A
posthuman genealogy of neuromarketing. Bio
Societies, 10(4), 465-482.
[84] Shiv, B., Carmon, Z., & Ariely, D. (2005). Placebo
effects of marketing actions: Consumers may get what
they pay for. Journal of marketing Research, 42(4), 383-
393.
[85] Smidts, A., Hsu, M., Sanfey, A. G., Boksem, M. A.
S., Ebstein, R. B.,Huettel, S. A., et al. (2014). Advancing
consumer neuroscience. Marketing Letters, 25, 257–267.
[86] Smith, D. V., Hayden, B. Y., Truong, T. K., Song,
A. W., Platt, M. L.,& Huettel, S. A. (2010). Distinct
value signals in anterior and posterior ventromedial
prefrontal cortex. Journal of Neuroscience, 30(7), 2490–
2495.
[87] Solnais, C., Andreu-Perez, J., Sánchez-Fernández,
J., & Andréu-Abela, J. (2013). The contribution of
neuroscience to consumer research: A conceptual
framework and empirical review. Journal of Economic
Psychology, 36, 68-81.
[88] Soon, C. S., He, A. H., Bode, S., & Haynes, J.-D.
(2013). Predicting free choices for abstract intentions.
Proceedings of the National Academy of Sciences, 110,
6217–6222.
[89] Stanton, S. J., Sinnott-Armstrong, W., & Huettel, S.
A. (2017). Neuromarketing: Ethical implications of its
use and potential misuse. Journal of Business Ethics, 1–
13.
[90] Telpaz, A., Webb, R., & Levy, D. J. (2015). Using
EEG to predict consumers‟ future choices. Journal of
Marketing Research, 52, 511.
[91] Tranfield, D., Denyer, D., & Smart, P. (2003).
Towards a methodology for developing evidence-
informed management knowledge by means of
systematic review. British Journal of Management, 14,
207–222.
[92] Tremblay, L. & Schultz, W. (1999).Relative reward
preference in primate orbitofrontal cortex. Nature,
398(6729), 704–708.
[93] Tugend, A. (2010, Feb). Too many choices: A
problem that can paralyze. Available at:
https://www.nytimes.com/2010/02/27/your-
money/27shortcuts.html?_r=0%20.
[94] Venkatraman, V., Dimoka, A., Pavlou, P. A., Vo,
K., Hampton, W., Bollinger, B., ... & Winer, R. S.
(2015). Predicting advertising success beyond traditional
measures: New insights from neurophysiological
methods and market response modeling. Journal of
Marketing Research, 52(4), 436-452.
[95] Venkatraman, V., Payne, J. W., & Huettel, S. A.
(2014). An overall probability of winning heuristic for
complex risky decisions: Choice and eye fixation
evidence. Organizational Behavior and Human Decision
Processes, 125, 73–87.
[96] Wadhwa, M. & Zhang, K. (2014). This number just
feels right: The impact of roundedness of price numbers
on product evaluations. Journal of Consumer
Research, 41(5), 1172-1185.
[97] Walliser, B. (2012). From psycho-economics to
neuro-economics. Recherches Économiques de
Louvain/Louvain Economic Review, 78(03-04), 13-28.
[98] Wallis, J. D. (2007). Orbitofrontal cortex and its
contribution to decision-making. Annual Review of
Neuroscience, 30, 31–56.
12. International Journal of Engineering and Management Research e-ISSN: 2250-0758 | p-ISSN: 2394-6962
Volume-11, Issue-5 (October 2021)
www.ijemr.net https://doi.org/10.31033/ijemr.11.5.23
192 This Work is under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
[99] Wilson, R. M., Gaines, J., & Hill, R. P. (2008).
Neuromarketing and consumer free will. Journal of
Consumer Affairs, 42(3), 389-410.
[100] Wise, R. A. & Rompré,P. P. (1989). Brain
dopamine and reward. Annual Review of Psychology,
40(1), 191–225.
[101] Wolpe, P. R. (2004). Ethics and social policy in
research on the neuroscience of human sexuality. Nature
Neuroscience, 7(10), 1031.
[102] Yoon, C., Gonzalez, R., Bechara, A., Berns, G. S.,
Dagher, A. A.,Dube, L., et al. (2012). Decision
neuroscience and consumer decision making. Marketing
Letters, 23, 473–485.