Lec # 1 business research an introductionfizza tanvir
SCIENTIFIC INVESTIGATION
The hallmarks of science. Purposiveness. Rigor. Testability. Replicability (repetition of results). Objectivity (facts oriented). Generalizability. ParsimonyLimitation to scientic research in managementThe building blocks of Science and the hypothetico-deductive method of researc
Lec # 1 business research an introductionfizza tanvir
SCIENTIFIC INVESTIGATION
The hallmarks of science. Purposiveness. Rigor. Testability. Replicability (repetition of results). Objectivity (facts oriented). Generalizability. ParsimonyLimitation to scientic research in managementThe building blocks of Science and the hypothetico-deductive method of researc
I’m a young Pakistani Blogger, Academic Writer, Freelancer, Quaidian & MPhil Scholar, Quote Lover, Co-Founder at Essar Student Fund & Blueprism Academia, belonging from Mehdiabad, Skardu, Gilgit Baltistan, Pakistan.
I am an academic writer & freelancer! I can work on Research Paper, Thesis Writing, Academic Research, Research Project, Proposals, Assignments, Business Plans, and Case study research.
Expertise:
Management Sciences, Business Management, Marketing, HRM, Banking, Business Marketing, Corporate Finance, International Business Management
For Order Online:
Whatsapp: +923452502478
Portfolio Link: https://blueprismacademia.wordpress.com/
Email: arguni.hasnain@gmail.com
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This set of slides explains the process of defining and refining the 'problem statement' in social and economic sciences. Also, it sheds light on the components of 'research proposal'. It is (Lecture 3(A)) the companion lecture of my earlier uploaded lecture on this topic (i.e., Lecture 3(B)) of this module.
Exploratory research - Research Methodology - Manu Melwin Joymanumelwin
Exploratory research is research conducted for a problem that has not been clearly defined. It often occurs before we know enough to make conceptual distinctions or posit an explanatory relationship. Exploratory research helps determine the best research design, data collection method and selection of subjects.
I’m a young Pakistani Blogger, Academic Writer, Freelancer, Quaidian & MPhil Scholar, Quote Lover, Co-Founder at Essar Student Fund & Blueprism Academia, belonging from Mehdiabad, Skardu, Gilgit Baltistan, Pakistan.
I am an academic writer & freelancer! I can work on Research Paper, Thesis Writing, Academic Research, Research Project, Proposals, Assignments, Business Plans, and Case study research.
Expertise:
Management Sciences, Business Management, Marketing, HRM, Banking, Business Marketing, Corporate Finance, International Business Management
For Order Online:
Whatsapp: +923452502478
Portfolio Link: https://blueprismacademia.wordpress.com/
Email: arguni.hasnain@gmail.com
Follow Me:
Linkedin: arguni_hasnain
Instagram : arguni.hasnain
Facebook: arguni.hasnain
This set of slides explains the process of defining and refining the 'problem statement' in social and economic sciences. Also, it sheds light on the components of 'research proposal'. It is (Lecture 3(A)) the companion lecture of my earlier uploaded lecture on this topic (i.e., Lecture 3(B)) of this module.
Exploratory research - Research Methodology - Manu Melwin Joymanumelwin
Exploratory research is research conducted for a problem that has not been clearly defined. It often occurs before we know enough to make conceptual distinctions or posit an explanatory relationship. Exploratory research helps determine the best research design, data collection method and selection of subjects.
Research Process
Piyush Sharma
1. Formulating the Research Problem
Clarify the problem on following basis
States of nature
Relationship between variables
Resolve Ambiguities (if any)
Rephrase the problem into meaningful terms from an analytical point of view.
2. Extensive Literature Survey
Academic Journals
Conference Proceedings
Govt. Reports
Books etc.
3. Development of Working Hypothesis
According to Coffey – “A hypothesis is an attempt at explanation, a provisional supposition made in order to explain scientifically some facts or phenomenon.”
Sources of Hypothesis
Observation
Reflection
Deduction
3. Development of Working Hypothesis
Origin Of Hypothesis
Induction by Simple Enumeration
Method of Agreement
Analogy
Characteristic of a good hypothesis
Non-Contradictoriness
Definite and Clear
Verifiable and Simple
4. Preparing the Research Design
Defining the information needed.
Designing the exploratory, descriptive, and casual phases of the research.
Specifying the measurement and scaling procedures.
Constructing and pretesting a questionnaire or any other for data collection.
Developing a plan of data analysis.
Considerations: Research Design
The means of obtaining the information.
The availability of skills of the researcher and his staff (if any).
The time available for research.
The cost factor available for research.
5. Determining the Sample Design
6. Collecting the Data
Primary Data
By observation
Personal Interview
Telephone Interviews
Mailing Questionnaires
Secondary Data
Surveys by other researchers
Surveys by Govt. etc
7. Analysis of Data
8. Interpretation
Reference and Bibilography
Research Methodology - Mukul Gupta, Deepa Gupta.
Research Methodology (Methods and Techniques) 2nd Revised Edition – C.R. Kothari
Someone named “Marcela” who uploaded a PowerPoint Presentation on the same topic.
Thank You
Definitions of research, business research and scientific research, Hallmarks of scientific research, Hypothetico-deductive method, Review of the hypothetico-deductive method, Obstacles to conducting research in management area
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
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