this slide show describes the secondary data research in a digital age. various tips and techniques are being discussed in order to facilitates the advance research scholar pertaining to secondary data analysis regarding Pakistan and south asia
Deni Auclair of Outsell shares insights into the future of open access publishing. Open access models have grown rapidly in recent years and now account for nearly 5% of the scholarly publishing market. Open access journals are attracting more attention despite their small market share. Major trends include the rise of mega-journals covering diverse topics, growing revenues for open access journals, and efforts to address funder mandates and support public access to research. Multiple startups are also entering the market with tools to help manage issues around open access publishing and author services.
Mark Ware shares insights from his research on the open access market and the road ahead. While open access models have been evolving, gold open access models will become more efficient through offsetting, bundling, membership models, and payment management systems. Publishers will focus more on services for researchers and data services as open research creates new opportunities. However, issues could arise from the pressure on library budgets as article volumes and open access grows. Various political, social, and technological pressures will also influence the future by changing research behaviors and attitudes toward information sharing.
Bepress provides a sustainable publishing model for academic journals and supports high-quality scholarship across many disciplines including economics, law, political science, health, education, science and statistics. It offers journals, conference proceedings and other publications that provide timely, intellectually exciting research and ensures access through indexing, archiving and adherence to technical standards.
The document provides instructions for an assignment on international marketing research. Students will be divided into groups to research a assigned webpage and present their findings on March 16th. The presentation should include an introduction to the webpage with its history, purpose and content. It should also explain how to access and pay for information on the webpage. Finally, the presentation must describe what types of economic, cultural, market and competitive information are available through examples. The document also lists sources for gathering secondary data on new foreign markets.
The document discusses different types of data including primary and secondary data, and nominal, ordinal, interval, and ratio data. It also discusses different methods of data collection including census, sampling, surveys, and questionnaires. Some key sources of secondary data mentioned include publications, the internet, and government websites.
This document discusses the opportunities and challenges of using functional data analysis (FDA) to analyze data from electronic commerce (eCommerce). FDA is well-suited for eCommerce data because it can represent the combination of longitudinal and cross-sectional data that is common in eCommerce. Some challenges in applying FDA to eCommerce data include unevenly spaced time series, nonstationarity due to fast changes, and large databases. The document outlines methods for recovering functional objects from eCommerce data and discusses challenges in choosing the appropriate smoothing method.
This document provides an overview of business statistics presented by 5 students. It defines key statistical concepts such as population, sample, data, parameter, and statistic. It explains that statistics is the science of decision making through collecting, organizing, classifying, analyzing, interpreting and presenting data. The document also outlines functions and limitations of statistics, and discusses statistical inquiry including collecting primary and secondary data.
This chapter discusses secondary data sources that can be used in marketing research. It describes the relationship of secondary data to other parts of the marketing research process. The chapter also covers the advantages and disadvantages of secondary data, criteria for evaluating secondary data sources, and various types of secondary data sources including internal sources, published sources, databases, and sources for international marketing research.
Deni Auclair of Outsell shares insights into the future of open access publishing. Open access models have grown rapidly in recent years and now account for nearly 5% of the scholarly publishing market. Open access journals are attracting more attention despite their small market share. Major trends include the rise of mega-journals covering diverse topics, growing revenues for open access journals, and efforts to address funder mandates and support public access to research. Multiple startups are also entering the market with tools to help manage issues around open access publishing and author services.
Mark Ware shares insights from his research on the open access market and the road ahead. While open access models have been evolving, gold open access models will become more efficient through offsetting, bundling, membership models, and payment management systems. Publishers will focus more on services for researchers and data services as open research creates new opportunities. However, issues could arise from the pressure on library budgets as article volumes and open access grows. Various political, social, and technological pressures will also influence the future by changing research behaviors and attitudes toward information sharing.
Bepress provides a sustainable publishing model for academic journals and supports high-quality scholarship across many disciplines including economics, law, political science, health, education, science and statistics. It offers journals, conference proceedings and other publications that provide timely, intellectually exciting research and ensures access through indexing, archiving and adherence to technical standards.
The document provides instructions for an assignment on international marketing research. Students will be divided into groups to research a assigned webpage and present their findings on March 16th. The presentation should include an introduction to the webpage with its history, purpose and content. It should also explain how to access and pay for information on the webpage. Finally, the presentation must describe what types of economic, cultural, market and competitive information are available through examples. The document also lists sources for gathering secondary data on new foreign markets.
The document discusses different types of data including primary and secondary data, and nominal, ordinal, interval, and ratio data. It also discusses different methods of data collection including census, sampling, surveys, and questionnaires. Some key sources of secondary data mentioned include publications, the internet, and government websites.
This document discusses the opportunities and challenges of using functional data analysis (FDA) to analyze data from electronic commerce (eCommerce). FDA is well-suited for eCommerce data because it can represent the combination of longitudinal and cross-sectional data that is common in eCommerce. Some challenges in applying FDA to eCommerce data include unevenly spaced time series, nonstationarity due to fast changes, and large databases. The document outlines methods for recovering functional objects from eCommerce data and discusses challenges in choosing the appropriate smoothing method.
This document provides an overview of business statistics presented by 5 students. It defines key statistical concepts such as population, sample, data, parameter, and statistic. It explains that statistics is the science of decision making through collecting, organizing, classifying, analyzing, interpreting and presenting data. The document also outlines functions and limitations of statistics, and discusses statistical inquiry including collecting primary and secondary data.
This chapter discusses secondary data sources that can be used in marketing research. It describes the relationship of secondary data to other parts of the marketing research process. The chapter also covers the advantages and disadvantages of secondary data, criteria for evaluating secondary data sources, and various types of secondary data sources including internal sources, published sources, databases, and sources for international marketing research.
Business research is a process of acquiring detailed information to maximize sales and profits. It helps companies determine the most profitable or in-demand products and services. Business research is useful for making decisions about production, marketing, human resources, operations, and finance. The business research process involves defining the research problem, conducting a literature review, defining objectives and hypotheses, designing the research, collecting and analyzing data, testing hypotheses, interpreting results, and preparing a report.
This document provides an overview of secondary data and packaged information. It defines secondary data as information collected by someone other than the researcher for a purpose other than the current research project. The document discusses internal and external secondary data sources and how to evaluate secondary data. It also defines packaged information as prepackaged data and services and discusses the advantages and disadvantages of syndicated data and packaged services. Finally, it provides examples of marketing applications of packaged information.
Business analytics is the process of examining large volumes of various types of data to discover hidden patterns and correlations. This analysis can provide competitive advantages by helping organizations make more effective marketing and pricing decisions, leading to higher revenues. The data comes from traditional and unstructured sources and is organized and analyzed using statistical tools to make real-time decisions. Descriptive analytics describes past trends while predictive and prescriptive analytics determine future outcomes and best actions. Most data is structured but unstructured and semi-structured data from sources like text is growing.
This document provides an overview of the information resources available at Beaman Library, including reference books, periodicals, indexes, and electronic databases. It discusses how to evaluate sources found on the web and what various domain name extensions indicate. The document concludes by encouraging students to ask for help from librarians if needed when conducting research.
Asl rof businessintelligencetechnology2019kamilHussain15
This document presents a systematic literature review on business intelligence technology, contributions, and applications for higher education. The methodology used PRISMA to identify relevant research. 12 articles were included from databases based on screening criteria. To answer the research questions, the included articles were analyzed. For technology (Q1), business intelligence techniques identified were data mining, viable system model, learning analytics, cloud computing, and behavioral analytics. Tools included Hadoop, Gephi, BigData by IBM, and web-based. Contributions (Q2) were knowledge transfer, innovation, and evaluation. Applications (Q3) included research, curriculum, assessment, behavior analysis, student enrollment, and resource management.
This document summarizes a systematic literature review of 62 articles on business intelligence and analytics (BI&A) in small and medium enterprises (SMEs). The review identified several research topics addressed in the literature, including BI&A components, solutions, mobile and cloud BI&A, applications, adoption, implementation, and benefits. However, the review also found few studies focused specifically on BI&A in SMEs. The review synthesized the literature to understand the current state of research and identify gaps to inform future work on advancing BI&A in SMEs.
The survey summarizes the responses from 20 US libraries about their current situation and outlook. Most libraries anticipate further budget cuts of up to 20% in 2010 affecting content, staff, and operations. While some new government funding programs may provide support, stimulus funds are uncertain. Publishers are advised to limit price increases, offer flexible purchase models, and ensure stable, long-term access to content across platforms.
This document outlines a research project that aims to identify which management models advocated in professional writings are being adopted by science librarians in academic libraries. The researcher will interview science librarians at three universities and conduct a literature review using keywords from the interviews. The goal is to understand which publications science librarians find most helpful and whether there are any gaps between published practices and librarians' needs.
Taxonomies are developed in communities and evolve over time. From the outset there is a need to evaluate existing schemes for organizing content and questions about whether to build or buy them. Once built out and implemented, taxonomies require ongoing revisions and periodic evaluation to keep them current and structurally consistent. Taxonomy evaluation includes the following dimensions which are discussed in this webinar.
- Editorial evaluation –including depth and breadth, comprehensiveness, currency, relationships, polyhierarchy(is it applied appropriately), and naming conventions.
- Collection analysis -category usage analytics (is distribution of categories appropriate), completeness and consistency, and query log/content usage analysis.
- Market analysis –including industry standards/leaders, user surveys, card sorting, and task based usability.
This document outlines the objectives and steps for conducting a literature review in economics research methods. It discusses finding and obtaining relevant books, journal articles, working papers, and data through library databases and other resources. Key steps include searching subject guides and article databases using various search techniques; chasing citations and obtaining full text; managing references with RefWorks; and considering data sources, scope, and format. The overall goal is to thoroughly search relevant literature and data sources to support and inform economic research.
Libraries Leading the Way on the 'Textbook Problem'Greg Raschke
Libraries are taking a leading role in addressing the high cost of textbooks by developing expertise in alternative textbook models. They are advocating for affordable options, educating faculty on alternatives, and directly supporting the creation and hosting of open educational resources. Some libraries purchase one copy of each required textbook and partner with bookstores. However, they are now putting more effort into transforming the textbook market by licensing and hosting open textbooks online, providing print-on-demand options, and working with companies developing new affordable textbook models.
This document outlines the objectives and steps for conducting a literature review in economics research methods. It discusses finding and obtaining relevant books, journal articles, working papers, and data through library databases and other resources. Specific techniques are presented for searching databases systematically and obtaining full texts. The document also reviews using citation management software and considering data sources and formats in the literature review process.
This document provides an introduction to using library resources for economics. It outlines how to find books using the library catalogue by author, title, or reading list. It also explains how to find journals online or in print and how to search by journal title. The document describes several electronic databases that can be used to find newspaper articles, journal articles, company information, and statistics. It provides guidance on planning searches, including using keywords and alternative terms. Finally, it lists some other sources for reports, working papers, and statistical data and provides contact information for academic liaison librarians.
This document provides a summary of an analysis of discount trends for maintenance services conducted from 2013 to 2015. The analysis focused on the top three revenue generating product families. The methodology involved collecting data from various sources, cleaning and filtering the data, then segmenting and analyzing the data based on factors like product family, service level, territory, industry, and type of sale. Metrics like average and median discount percentages were used along with tools like Excel, Tableau and Rapid Miner. Correlation, regression and conjoint analysis methods were explored to understand relationships between variables and the influence of attributes on discount levels. Recommendations were developed for key stakeholders based on the findings.
2020 resources in uct libraries_finance honsSusanne Noll
The document is a presentation on resources available in UCT libraries. It discusses how to conduct a literature review and find relevant sources. It covers bibliographic databases, keywords and boolean operators for searching. Specific databases are recommended for subjects like finance. It also discusses evaluating sources found on the web and contemporary sources like blogs, Twitter and wikis. Institutional repository OpenUCT is introduced as a source for UCT scholarly outputs. Financial databases available include Bloomberg, ThomsonReuters Eikon and Datastream, and IRESS.
This panel addresses the application of bibliometric and scientometric methods applied in the assessment of journals and the research they publish.
The measurement of impact of scientific journals through citations has its origin in the documentalists activities at the late nineteenth century to organize the publications of specific areas. The unfolding of these efforts soon undertook quantitative approaches aiming at understanding trends which allowed us to establish, for example, the nucleus of journals and authors in the various areas, making it an important input for science historians and sociologists.
Regarding the treatment of scientific information, the essays of the first half of the twentieth century were materialized into a system that would offer a new form of information retrieval – in the diachronic sense – allowing to identify the relation that literature establishes from the publishing of an article. This relationship, which expresses the repercussion of a new knowledge in the literature, did not take much time to attribute the idea of scientific impact, whose expression occurs through citations. The citation index then revolutionizes the way of accessing literature in the second half of that century, at the same time as it becomes a unique source for impact indicators, which from there would represent the world science in evaluative processes around of the world.
At the turn of the twenty first century, many factors – such as subscription costs, the underrepresentation of the scientific literature of non-English-speaking countries, as well as the different practices of scientific communication among areas of knowledge – have given rise to initiatives aimed at broader sources of information, while at the same time facilitating free access to scientific information. However, besides the access issue, the already established need for impact measurement could not be ignored in order to provide the consolidated processes of evaluation of scientific output with more adequate indicators.
In this sense, it is necessary that the new information sources, taking advantage of the new methodologies proposed by the community specialized in quantitative methods of science evaluation, may contribute with indicators that make the assessment of national (Brazilian) scientific output more adequate to the national scenario. In doing so, it is hoped that the group’s discussions will contribute not only to evidence the best that has been produced locally, but also to allow scientific journals edited nationally, particularly those of the SciELO Network, to have their impact recognized, allowing circulation of global and inclusive scientific knowledge.
Syllabus
Information sources for generating impact indicators; specificity of the culture of scientific communication in the different areas, especially the Human and Social Sciences; the limitations of the Impact Factor and mainstream journal-based indicators; methodologies for…
The document provides guidance for Year 10 students on choosing courses for Years 11 and 12 that will prepare them for tertiary study, including exploring career options and areas of study, requirements for different institutions, and important dates like open days. It explains prerequisites, assumed knowledge and recommended subjects for different areas of study at each institution. Students are advised to consider their interests and strengths, research options, and make informed choices to keep career pathways open.
The document discusses marketing information systems, research, demand forecasting, and macroenvironmental factors. It describes how marketing information systems gather internal data and intelligence for decision making. Market research involves systematically defining problems, developing research plans, collecting and analyzing information, and presenting findings. Demand can be measured and forecasted using methods like surveys, sales analysis, and expert opinions. Major forces in the macroenvironment that influence demand include demographic, economic, sociocultural, technological, political, and natural factors.
Graph databases are a type of NoSQL database that uses graph theory to store and query relationships. A graph database represents data as nodes and edges, where nodes represent entities and edges represent connections between nodes. Each node and edge can have properties. Graph databases are well-suited for analyzing complex relationships and interconnections in domains like social media, supply chains, and telecommunications. Life sciences companies are leveraging graph databases to understand relationships between entities like doctors, hospitals, patients, and clinical trials to gain insights from disparate healthcare data. Graph databases allow for flexible querying of relationships without predefined data structures.
This document presents a case study on applying a data analytics approach to conducting a systematic literature review on master data management. It outlines the steps taken, including defining review questions, searching multiple databases and sources, combining and preprocessing the data, and performing descriptive and text analyses. The analyses addressed questions about trends in publications over time, primary databases, publication types, and frequent keywords. This provided insights into the progress and topics within the master data management research domain. The presented structured approach aims to improve the replicability of systematic literature reviews.
Secondary data analysis with digital trace dataAndrea Wiggins
This document discusses secondary data analysis using digital trace data. It provides examples from research on free/libre open-source software projects. The document outlines that secondary data analysis uses existing data collected for other purposes. Digital trace data consists of records of online activity that can provide longitudinal data at a large scale. Challenges include understanding the original data collection and limitations, as well as preparing large volumes of data for analysis. The document provides an example of analyzing email networks within FLOSS projects and classifying projects based on success criteria.
This document discusses different types of data analysis methods, including content analysis and secondary data analysis. Content analysis involves breaking down written, spoken, or visual communication into common elements or themes. It requires determining the unit of analysis, indicators, and then coding the data according to those indicators. Secondary data analysis involves reanalyzing existing data collected by others. It saves costs and time but risks the data not being suitable for the new research purposes.
Business research is a process of acquiring detailed information to maximize sales and profits. It helps companies determine the most profitable or in-demand products and services. Business research is useful for making decisions about production, marketing, human resources, operations, and finance. The business research process involves defining the research problem, conducting a literature review, defining objectives and hypotheses, designing the research, collecting and analyzing data, testing hypotheses, interpreting results, and preparing a report.
This document provides an overview of secondary data and packaged information. It defines secondary data as information collected by someone other than the researcher for a purpose other than the current research project. The document discusses internal and external secondary data sources and how to evaluate secondary data. It also defines packaged information as prepackaged data and services and discusses the advantages and disadvantages of syndicated data and packaged services. Finally, it provides examples of marketing applications of packaged information.
Business analytics is the process of examining large volumes of various types of data to discover hidden patterns and correlations. This analysis can provide competitive advantages by helping organizations make more effective marketing and pricing decisions, leading to higher revenues. The data comes from traditional and unstructured sources and is organized and analyzed using statistical tools to make real-time decisions. Descriptive analytics describes past trends while predictive and prescriptive analytics determine future outcomes and best actions. Most data is structured but unstructured and semi-structured data from sources like text is growing.
This document provides an overview of the information resources available at Beaman Library, including reference books, periodicals, indexes, and electronic databases. It discusses how to evaluate sources found on the web and what various domain name extensions indicate. The document concludes by encouraging students to ask for help from librarians if needed when conducting research.
Asl rof businessintelligencetechnology2019kamilHussain15
This document presents a systematic literature review on business intelligence technology, contributions, and applications for higher education. The methodology used PRISMA to identify relevant research. 12 articles were included from databases based on screening criteria. To answer the research questions, the included articles were analyzed. For technology (Q1), business intelligence techniques identified were data mining, viable system model, learning analytics, cloud computing, and behavioral analytics. Tools included Hadoop, Gephi, BigData by IBM, and web-based. Contributions (Q2) were knowledge transfer, innovation, and evaluation. Applications (Q3) included research, curriculum, assessment, behavior analysis, student enrollment, and resource management.
This document summarizes a systematic literature review of 62 articles on business intelligence and analytics (BI&A) in small and medium enterprises (SMEs). The review identified several research topics addressed in the literature, including BI&A components, solutions, mobile and cloud BI&A, applications, adoption, implementation, and benefits. However, the review also found few studies focused specifically on BI&A in SMEs. The review synthesized the literature to understand the current state of research and identify gaps to inform future work on advancing BI&A in SMEs.
The survey summarizes the responses from 20 US libraries about their current situation and outlook. Most libraries anticipate further budget cuts of up to 20% in 2010 affecting content, staff, and operations. While some new government funding programs may provide support, stimulus funds are uncertain. Publishers are advised to limit price increases, offer flexible purchase models, and ensure stable, long-term access to content across platforms.
This document outlines a research project that aims to identify which management models advocated in professional writings are being adopted by science librarians in academic libraries. The researcher will interview science librarians at three universities and conduct a literature review using keywords from the interviews. The goal is to understand which publications science librarians find most helpful and whether there are any gaps between published practices and librarians' needs.
Taxonomies are developed in communities and evolve over time. From the outset there is a need to evaluate existing schemes for organizing content and questions about whether to build or buy them. Once built out and implemented, taxonomies require ongoing revisions and periodic evaluation to keep them current and structurally consistent. Taxonomy evaluation includes the following dimensions which are discussed in this webinar.
- Editorial evaluation –including depth and breadth, comprehensiveness, currency, relationships, polyhierarchy(is it applied appropriately), and naming conventions.
- Collection analysis -category usage analytics (is distribution of categories appropriate), completeness and consistency, and query log/content usage analysis.
- Market analysis –including industry standards/leaders, user surveys, card sorting, and task based usability.
This document outlines the objectives and steps for conducting a literature review in economics research methods. It discusses finding and obtaining relevant books, journal articles, working papers, and data through library databases and other resources. Key steps include searching subject guides and article databases using various search techniques; chasing citations and obtaining full text; managing references with RefWorks; and considering data sources, scope, and format. The overall goal is to thoroughly search relevant literature and data sources to support and inform economic research.
Libraries Leading the Way on the 'Textbook Problem'Greg Raschke
Libraries are taking a leading role in addressing the high cost of textbooks by developing expertise in alternative textbook models. They are advocating for affordable options, educating faculty on alternatives, and directly supporting the creation and hosting of open educational resources. Some libraries purchase one copy of each required textbook and partner with bookstores. However, they are now putting more effort into transforming the textbook market by licensing and hosting open textbooks online, providing print-on-demand options, and working with companies developing new affordable textbook models.
This document outlines the objectives and steps for conducting a literature review in economics research methods. It discusses finding and obtaining relevant books, journal articles, working papers, and data through library databases and other resources. Specific techniques are presented for searching databases systematically and obtaining full texts. The document also reviews using citation management software and considering data sources and formats in the literature review process.
This document provides an introduction to using library resources for economics. It outlines how to find books using the library catalogue by author, title, or reading list. It also explains how to find journals online or in print and how to search by journal title. The document describes several electronic databases that can be used to find newspaper articles, journal articles, company information, and statistics. It provides guidance on planning searches, including using keywords and alternative terms. Finally, it lists some other sources for reports, working papers, and statistical data and provides contact information for academic liaison librarians.
This document provides a summary of an analysis of discount trends for maintenance services conducted from 2013 to 2015. The analysis focused on the top three revenue generating product families. The methodology involved collecting data from various sources, cleaning and filtering the data, then segmenting and analyzing the data based on factors like product family, service level, territory, industry, and type of sale. Metrics like average and median discount percentages were used along with tools like Excel, Tableau and Rapid Miner. Correlation, regression and conjoint analysis methods were explored to understand relationships between variables and the influence of attributes on discount levels. Recommendations were developed for key stakeholders based on the findings.
2020 resources in uct libraries_finance honsSusanne Noll
The document is a presentation on resources available in UCT libraries. It discusses how to conduct a literature review and find relevant sources. It covers bibliographic databases, keywords and boolean operators for searching. Specific databases are recommended for subjects like finance. It also discusses evaluating sources found on the web and contemporary sources like blogs, Twitter and wikis. Institutional repository OpenUCT is introduced as a source for UCT scholarly outputs. Financial databases available include Bloomberg, ThomsonReuters Eikon and Datastream, and IRESS.
This panel addresses the application of bibliometric and scientometric methods applied in the assessment of journals and the research they publish.
The measurement of impact of scientific journals through citations has its origin in the documentalists activities at the late nineteenth century to organize the publications of specific areas. The unfolding of these efforts soon undertook quantitative approaches aiming at understanding trends which allowed us to establish, for example, the nucleus of journals and authors in the various areas, making it an important input for science historians and sociologists.
Regarding the treatment of scientific information, the essays of the first half of the twentieth century were materialized into a system that would offer a new form of information retrieval – in the diachronic sense – allowing to identify the relation that literature establishes from the publishing of an article. This relationship, which expresses the repercussion of a new knowledge in the literature, did not take much time to attribute the idea of scientific impact, whose expression occurs through citations. The citation index then revolutionizes the way of accessing literature in the second half of that century, at the same time as it becomes a unique source for impact indicators, which from there would represent the world science in evaluative processes around of the world.
At the turn of the twenty first century, many factors – such as subscription costs, the underrepresentation of the scientific literature of non-English-speaking countries, as well as the different practices of scientific communication among areas of knowledge – have given rise to initiatives aimed at broader sources of information, while at the same time facilitating free access to scientific information. However, besides the access issue, the already established need for impact measurement could not be ignored in order to provide the consolidated processes of evaluation of scientific output with more adequate indicators.
In this sense, it is necessary that the new information sources, taking advantage of the new methodologies proposed by the community specialized in quantitative methods of science evaluation, may contribute with indicators that make the assessment of national (Brazilian) scientific output more adequate to the national scenario. In doing so, it is hoped that the group’s discussions will contribute not only to evidence the best that has been produced locally, but also to allow scientific journals edited nationally, particularly those of the SciELO Network, to have their impact recognized, allowing circulation of global and inclusive scientific knowledge.
Syllabus
Information sources for generating impact indicators; specificity of the culture of scientific communication in the different areas, especially the Human and Social Sciences; the limitations of the Impact Factor and mainstream journal-based indicators; methodologies for…
The document provides guidance for Year 10 students on choosing courses for Years 11 and 12 that will prepare them for tertiary study, including exploring career options and areas of study, requirements for different institutions, and important dates like open days. It explains prerequisites, assumed knowledge and recommended subjects for different areas of study at each institution. Students are advised to consider their interests and strengths, research options, and make informed choices to keep career pathways open.
The document discusses marketing information systems, research, demand forecasting, and macroenvironmental factors. It describes how marketing information systems gather internal data and intelligence for decision making. Market research involves systematically defining problems, developing research plans, collecting and analyzing information, and presenting findings. Demand can be measured and forecasted using methods like surveys, sales analysis, and expert opinions. Major forces in the macroenvironment that influence demand include demographic, economic, sociocultural, technological, political, and natural factors.
Graph databases are a type of NoSQL database that uses graph theory to store and query relationships. A graph database represents data as nodes and edges, where nodes represent entities and edges represent connections between nodes. Each node and edge can have properties. Graph databases are well-suited for analyzing complex relationships and interconnections in domains like social media, supply chains, and telecommunications. Life sciences companies are leveraging graph databases to understand relationships between entities like doctors, hospitals, patients, and clinical trials to gain insights from disparate healthcare data. Graph databases allow for flexible querying of relationships without predefined data structures.
This document presents a case study on applying a data analytics approach to conducting a systematic literature review on master data management. It outlines the steps taken, including defining review questions, searching multiple databases and sources, combining and preprocessing the data, and performing descriptive and text analyses. The analyses addressed questions about trends in publications over time, primary databases, publication types, and frequent keywords. This provided insights into the progress and topics within the master data management research domain. The presented structured approach aims to improve the replicability of systematic literature reviews.
Secondary data analysis with digital trace dataAndrea Wiggins
This document discusses secondary data analysis using digital trace data. It provides examples from research on free/libre open-source software projects. The document outlines that secondary data analysis uses existing data collected for other purposes. Digital trace data consists of records of online activity that can provide longitudinal data at a large scale. Challenges include understanding the original data collection and limitations, as well as preparing large volumes of data for analysis. The document provides an example of analyzing email networks within FLOSS projects and classifying projects based on success criteria.
This document discusses different types of data analysis methods, including content analysis and secondary data analysis. Content analysis involves breaking down written, spoken, or visual communication into common elements or themes. It requires determining the unit of analysis, indicators, and then coding the data according to those indicators. Secondary data analysis involves reanalyzing existing data collected by others. It saves costs and time but risks the data not being suitable for the new research purposes.
Secondary data is data that was collected by someone else for another purpose. It can save time and costs compared to primary data collection, but may not be suitable for the current research purpose if it is outdated or does not meet the study requirements. Secondary data comes from internal sources like sales records, marketing activities, and costs within a company, or external sources like the internet, published reports, and standardized industry data. While secondary data has benefits like lower costs, it also has limitations in that the researcher did not collect it themselves so they may not know about errors or gaps in coverage for their specific needs.
Quantitative Methods II (#SOC2031). Seminar #11: Secondary analysis. Big data...David Rozas
This document summarizes a seminar on secondary analysis, big data, and open data. It defines big data as large, complex datasets difficult to process traditionally due to high volume, variety, and velocity of data. While big data enables understanding global issues and increasing transparency, it also raises privacy and surveillance concerns requiring sociological perspective. Open data is data freely available to use and share, as defined by openness, reuse, and universal participation without discrimination. Examples of open data mapping projects and sentiment analysis are provided.
The document summarizes statistics from the 2011 Asian Football Cup, including the number of goals scored in group stage and knockout games and team performance relative to FIFA rankings. It also discusses issues around secondary data analysis, including ensuring the reliability, validity and accuracy of data as well as maintaining permanent identifiers for resources that may change locations online.
The document summarizes the marketing research case study for Harvard Real Estate Services. The management problem is increasing graduate student housing residency by 40%. The research objectives are to determine which housing characteristics (cost, space, location) are most critical in student choices. A descriptive, cross-sectional survey design involving sampling across Harvard schools will be used. Secondary research on student housing will inform question development for an electronic survey. Questions will range from nominal to interval/ratio scales to understand attribute importance and housing influences on school choice.
The document discusses primary and secondary data sources for business research. It examines doctoral dissertations from 1998 to categorize research topics, data collection methods, and data availability. The findings suggest that business research relies heavily on primary data collection despite advantages to also using secondary data. Primary data is collected directly from original sources through methods like surveys and experiments, while secondary data involves collecting existing data from external sources. Each type of data has strengths and weaknesses for research.
Secondary data research involves analyzing existing data collected by others rather than primary data collected by the researcher. Secondary data has increased with large electronic databases and the internet. It is used for background research, identifying trends, and fact-finding. The advantages are easy availability, low cost, and breadth of data. Disadvantages include lack of specificity, outdatedness, and variation in definitions. Researchers must evaluate if the secondary data applies to their research questions, population, and time period. Objectives of secondary research include fact-finding, database marketing, and model building like forecasting sales. Sources include internal organizational data, government data, trade associations, commercial databases, and panel data tracking consumer behavior over time.
Secondary data refers to data that was collected previously for another purpose. It can save time and money compared to primary data but may be inaccurate, inconsistent, outdated or collected for a different purpose than intended. When using secondary data, it is important to evaluate if the data is relevant to the research problem, population, time period and variables of interest. Common sources of secondary data include government agencies, libraries, commercial databases, and syndicated services that collect and sell pooled data.
The document provides an overview of research best practices, including defining different types of research, methodologies, and tools used for analysis. It discusses primary and secondary research, qualitative and quantitative research, as well as exploratory, descriptive, and experimental research. Common analysis tools covered include Porter's Five Forces, PACE, PEST, BCG matrix, and cause-and-effect diagrams. The document also outlines career opportunities in knowledge process outsourcing and takes the perspective of advising an entrepreneur on entering the Indian mobile handset market.
This document discusses secondary data collection methods for research. It defines secondary data as previously collected information that is not specific to the current research objectives. Secondary data sources can be internal sources like company records or external sources like government publications, non-government publications, computerized databases, and syndicated data sources. It notes that secondary data has benefits like being a resource-efficient way to gain information, but also drawbacks like the data not always being directly applicable to the new research objectives. The document provides examples of various secondary data sources and how they can be used in research.
This document discusses secondary data collection and provides classifications of different types of secondary data sources. It begins by defining secondary data as information previously collected for other purposes that can be relevant to the current research problem. It then categorizes secondary data sources as internal or external. External sources include published materials like census data, government publications, indexes, guides and directories. They also include computerized databases that are online, offline, full-text, numeric, special-purpose or bibliographic. Syndicated services and international sources are also outlined. Throughout, advantages and limitations of secondary data are noted.
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secondary data analysis for MS advance research one Lecture eight
1. Recommended book for
Advance research one
Umme sekran the latest edition
-----------------------------------------------------
Emory business research
Dr A Mateen
Zikmond business research
Roger bougie
Internet sources
I follow the contents of the course not the book
3. Introduction
Data that have been previously collected for some
purpose other than the one at hand
It is a deductive reseach
We proceed from general to particular
Neo-classical school of economist applied this method
of investigation
4. merits
Less time consuming- elimination of many steps
Less expensive
More use of mathematical and statistical calculations
Limited scope of experimentation
Simple because of analytical
5. demerits
Might not address the researcher needs
Not universally applicable
Highly abstract
Requires grat deal of care to avoid bad logic or faulty
economic reasoning
6. Evaluation of secondary data
researcher questions
Is the subject matter consistent with
our problem definition
Do the data apply to the population of
interest?
Do the data apply to the time period
of interest?
Do the secondary data appear in the
correct units of measurement?
Do the data cover the subject of
interest in adequate detail?
7. situations
A researcher is interested in forklift truck finds that the
secondary data on the subject are included in a
broader, less petinants category encompassing all
industrial trucks and tractors. Furthermore, the data
were colldected five years ealier
8. situations
An investigator who wishes to study individuals earning
more than Rs.100,000 per year finds the top category in
a secondary study reported at Rs. 75,000 or more per
year
9. situations
Data from a previous warranty card study show where
consumers prefer to purchase the product but provide
no reasons why.
10. Most common reasons for
inadequate secondary dat
Outdated information
Variation in definition of terms
Different units of measurement
Lack of information to verify the data’s accuracy
Difficulty in data conversion
Cross checks of data
11. Typical objective for secondary-data research
design
Fact finding
Identifying consumption pattern tacking trends
Model building
Estimating market potential forecasting sales
Selecting trade areas and sites
Database marketing
Enhancing customer databases developing prospect lists
12. Identification of consumer behavior for a
product category
Trend analysis
Environmental scanning
Forecasting sales
Estimating market potential for geographic areas
13. Data mining
The use of powerful computer to dig through volumes of
data to discover pattern about an organization
customers and product
Applies to many form of analysis
14. Sources if secondary data
Sources of internal proprietary data
Data that exist and originates inside the organization
Accounting data or employees data
Researcher can aggregate of disaggregate internal data
Internet and internal proprietary data
External data
Data created, recorded or generated by an entity other
than the researcher organization
Government, newspapers, journals, and other organization
Secondary data have value, therefore, they can be sold
and traded like product
It has channel of distribution
15. Sources if secondary data
Libraaries
Storehouses of information---bridge between uses and
producers
Provide collection of books, journals, newspapers and so
on for reading and references
Also stock many bibliographies, abstracts, guides,
directories and indexes as well as offer acess to database
The internet
Much data conveniently available over internet
www.libraryspot.com
Vendors
Many external producers make secondary data available
directly from the org that produce the data or through
intermediaries called venders www.hoovers.com
16. Sources if secondary data
Producers
Categorize in five
Publisher of book and periodicals, government sources,
media sources, trade association sources and commercial
sources
Single source data
Diverse types of data offered by a single company, usually
integrated on the basis of a common variable such as
geographic area or store
www.caci.com
www.mediamark.com
17. Sources if secondary data
Panel data
Refers to multi-dimensional data; consist of information of
sampling unit for many dimensions across multiple time
periods (Balance and unbalanced data)
Scanner panel data
Many retailer outlet provide consumer information etc