Pub Date : 2019-05-15DOI: 10.1142/S2424862219500027
J. Iaksch, Milton Borsato, Juliana Schimdt, Arturo Vaine
The New Product Development Process (NDP) is noticed as a critical factor to maintain the competitiveness in organizations. New products allow us to focus on taking a competitive position. Also, the first and most important reason for any new product development is to provide new value to the customer. In this sense, the Requirements Engineering (RE) approach plays a vital role within the New Product Development Process (NDP) lifecycle, once the product performance and its acceptability on the market depend on how RE is integrated into the product development. In this way, this paper aims to identify the proposed solutions and trends regarding RE, through a literature review based on studies produced in the last five years. Hence, the existing gaps in the literature about this theme are presented and analyzed. In order to achieve these objectives, the present study was based on ProKnow-C process (Knowledge Development Process — Constructivist).
{"title":"Requirements Engineering in the New Product Development Process: A Structured Literature Review","authors":"J. Iaksch, Milton Borsato, Juliana Schimdt, Arturo Vaine","doi":"10.1142/S2424862219500027","DOIUrl":"https://doi.org/10.1142/S2424862219500027","url":null,"abstract":"The New Product Development Process (NDP) is noticed as a critical factor to maintain the competitiveness in organizations. New products allow us to focus on taking a competitive position. Also, the first and most important reason for any new product development is to provide new value to the customer. In this sense, the Requirements Engineering (RE) approach plays a vital role within the New Product Development Process (NDP) lifecycle, once the product performance and its acceptability on the market depend on how RE is integrated into the product development. In this way, this paper aims to identify the proposed solutions and trends regarding RE, through a literature review based on studies produced in the last five years. Hence, the existing gaps in the literature about this theme are presented and analyzed. In order to achieve these objectives, the present study was based on ProKnow-C process (Knowledge Development Process — Constructivist).","PeriodicalId":51835,"journal":{"name":"Journal of Industrial Integration and Management-Innovation and Entrepreneurship","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2019-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86362828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-03-01DOI: 10.1142/s242486221892001x
Anjee Gorkhali, Li Xu
{"title":"Corrections to articles 1650014 (Vol. 1, No. 4) and 1750009 (Vol. 2, No 2)","authors":"Anjee Gorkhali, Li Xu","doi":"10.1142/s242486221892001x","DOIUrl":"https://doi.org/10.1142/s242486221892001x","url":null,"abstract":"","PeriodicalId":51835,"journal":{"name":"Journal of Industrial Integration and Management-Innovation and Entrepreneurship","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76309516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-04DOI: 10.1142/S2424862218500173
Weiru Chen, J. Oliverio, J. Kim, Jiayue Shen
Big Data is a popular cutting-edge technology nowadays. Techniques and algorithms are expanding in different areas including engineering, biomedical, and business. Due to the high-volume and complexity of Big Data, it is necessary to conduct data pre-processing methods when data mining. The pre-processing methods include data cleaning, data integration, data reduction, and data transformation. Data clustering is the most important step of data reduction. With data clustering, mining on the reduced data set should be more efficient yet produce quality analytical results. This paper presents the different data clustering methods and related algorithms for data mining with Big Data. Data clustering can increase the efficiency and accuracy of data mining.
{"title":"The Modeling and Simulation of Data Clustering Algorithms in Data Mining with Big Data","authors":"Weiru Chen, J. Oliverio, J. Kim, Jiayue Shen","doi":"10.1142/S2424862218500173","DOIUrl":"https://doi.org/10.1142/S2424862218500173","url":null,"abstract":"Big Data is a popular cutting-edge technology nowadays. Techniques and algorithms are expanding in different areas including engineering, biomedical, and business. Due to the high-volume and complexity of Big Data, it is necessary to conduct data pre-processing methods when data mining. The pre-processing methods include data cleaning, data integration, data reduction, and data transformation. Data clustering is the most important step of data reduction. With data clustering, mining on the reduced data set should be more efficient yet produce quality analytical results. This paper presents the different data clustering methods and related algorithms for data mining with Big Data. Data clustering can increase the efficiency and accuracy of data mining.","PeriodicalId":51835,"journal":{"name":"Journal of Industrial Integration and Management-Innovation and Entrepreneurship","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2018-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80906584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-04DOI: 10.1142/S2424862218500185
U. Chanda, Praveen Goyal
In today’s competitive environment, the Indian manufacturing sector is feeling the need to develop new strategies to increase employee performance by improving the job satisfaction and reducing stress. Improving employee performance is one of the important drivers of the organization’s growth. In recent years, organizations are also investing a great deal on human capital to capitalize on employee productivity. The objective of this study is to identify and assess the association among different individual level factors and their impact on the organization performance in the Indian Manufacturing companies. Partial least square (PLS) approach was used to examine the relationships among various factors that lead to employee commitment and organizational performance. Results of this study can provide an important reference for both academicians and practitioners for effectively improving employee satisfaction, employee commitment to increase the economic performance of the organization.
{"title":"Assessing Impact of Human Capital, SRHRM and Employee Related Factors on Firm Performance","authors":"U. Chanda, Praveen Goyal","doi":"10.1142/S2424862218500185","DOIUrl":"https://doi.org/10.1142/S2424862218500185","url":null,"abstract":"In today’s competitive environment, the Indian manufacturing sector is feeling the need to develop new strategies to increase employee performance by improving the job satisfaction and reducing stress. Improving employee performance is one of the important drivers of the organization’s growth. In recent years, organizations are also investing a great deal on human capital to capitalize on employee productivity. The objective of this study is to identify and assess the association among different individual level factors and their impact on the organization performance in the Indian Manufacturing companies. Partial least square (PLS) approach was used to examine the relationships among various factors that lead to employee commitment and organizational performance. Results of this study can provide an important reference for both academicians and practitioners for effectively improving employee satisfaction, employee commitment to increase the economic performance of the organization.","PeriodicalId":51835,"journal":{"name":"Journal of Industrial Integration and Management-Innovation and Entrepreneurship","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2018-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88024358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-04DOI: 10.1142/S2424862218500197
S. Manohar, Geeta Kapur
Purpose: The study is undertaken with two objectives, first to develop a scale that can measure service innovation from customer perspective in retail industry, and second to find out how the developed service innovation measurement scale has an effect on predicting customer’s Word-of-Mouth (WOM), followed by testing the mediation effect of corporate reputation between service innovation and WOM. Methodology: The study followed the Integrated Design Approach that included qualitative studies and quantitative studies in exploring and validating the measurement items for service innovation typologies. The codes that represent the typologies of service innovation were elicited through group discussions with selected customers and validated through in-depth interviews with decision maker/managers of retail industry in different parts of South India. The approved codes were validated through two expert opinion surveys and further authenticated through quantitative approaches such as: Exploratory Factor Analysis and Confirmatory Factor Analysis with two different sets of samples. Finally, the nomological validity of the developed scale was tested on estimating its effect on Corporate Reputation and WOM. Findings: The developed service innovation scale can be adopted by both researchers and managers in measuring service innovation in retail industry. The path analysis results concluded that service innovation has positive impact on corporate reputation and WOM, where the decision makers/managers can note that if service innovations are brought in frequently, it would make the firm reputed in the market and ultimately results in positive WOM from the customers. The mediation analysis result also gives an insight that even if the service innovation is by a non-reputed retailer, it still gets positive WOM. Originality/Value: The study contributes by providing a unique scale to measure service innovation from customer perspective in retail industry, overcoming the existing Goods-Dominant logic. Further, by empirically testing nomological validity, the effect on non-financial performance is estimated to understand how innovation in services would build corporate reputation that ultimately results in customers’ positive WOM which is wanting in literature on service innovation.
{"title":"Measuring Perceived Service Innovation Typologies in Retail Industry","authors":"S. Manohar, Geeta Kapur","doi":"10.1142/S2424862218500197","DOIUrl":"https://doi.org/10.1142/S2424862218500197","url":null,"abstract":"Purpose: The study is undertaken with two objectives, first to develop a scale that can measure service innovation from customer perspective in retail industry, and second to find out how the developed service innovation measurement scale has an effect on predicting customer’s Word-of-Mouth (WOM), followed by testing the mediation effect of corporate reputation between service innovation and WOM. Methodology: The study followed the Integrated Design Approach that included qualitative studies and quantitative studies in exploring and validating the measurement items for service innovation typologies. The codes that represent the typologies of service innovation were elicited through group discussions with selected customers and validated through in-depth interviews with decision maker/managers of retail industry in different parts of South India. The approved codes were validated through two expert opinion surveys and further authenticated through quantitative approaches such as: Exploratory Factor Analysis and Confirmatory Factor Analysis with two different sets of samples. Finally, the nomological validity of the developed scale was tested on estimating its effect on Corporate Reputation and WOM. Findings: The developed service innovation scale can be adopted by both researchers and managers in measuring service innovation in retail industry. The path analysis results concluded that service innovation has positive impact on corporate reputation and WOM, where the decision makers/managers can note that if service innovations are brought in frequently, it would make the firm reputed in the market and ultimately results in positive WOM from the customers. The mediation analysis result also gives an insight that even if the service innovation is by a non-reputed retailer, it still gets positive WOM. Originality/Value: The study contributes by providing a unique scale to measure service innovation from customer perspective in retail industry, overcoming the existing Goods-Dominant logic. Further, by empirically testing nomological validity, the effect on non-financial performance is estimated to understand how innovation in services would build corporate reputation that ultimately results in customers’ positive WOM which is wanting in literature on service innovation.","PeriodicalId":51835,"journal":{"name":"Journal of Industrial Integration and Management-Innovation and Entrepreneurship","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2018-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83595229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-11-08DOI: 10.1142/S242486221850001X
Gisele Bortolaz Guedes, Lucas Barboza Zattar Paganin, Milton Borsato
Global instability can be seen as a reflection of the increasing demand for natural resources and the reduction of personnel expenditures. Yet, this is often associated with industrial systems, whose main objectives are to increase productive capacity and reduce costs. This scenario identifies the need for changes in strategy establishment in the organization’s operation mode focusing on sustainable development. Industrial ecosystems, through the symbiotic relationship of industries, aim to achieve sustainability goals. Material flow mapping is essential for the construction of these industrial ecosystems. Hence, the present paper carries out a structured literature review process in order to identify the state of the art and the research opportunities on material flow mapping and industrial ecosystems. For the accomplishment of this research, the methodological procedure called Knowledge Development Process — Constructivist (ProKnow-C) was adopted. The bibliographic portfolio is represented by 35 articles of the research theme. Throughout the bibliometric analysis, a statistical analysis of the articles that compose the portfolio is presented. In the systemic analysis, the main research problems, the means of solving them and the detected opportunities about this research theme are identified. Finally, conclusions and recommendations for future research are presented.
{"title":"Bibliometric and Systemic Analysis on Material Flow Mapping and Industrial Ecosystems","authors":"Gisele Bortolaz Guedes, Lucas Barboza Zattar Paganin, Milton Borsato","doi":"10.1142/S242486221850001X","DOIUrl":"https://doi.org/10.1142/S242486221850001X","url":null,"abstract":"Global instability can be seen as a reflection of the increasing demand for natural resources and the reduction of personnel expenditures. Yet, this is often associated with industrial systems, whose main objectives are to increase productive capacity and reduce costs. This scenario identifies the need for changes in strategy establishment in the organization’s operation mode focusing on sustainable development. Industrial ecosystems, through the symbiotic relationship of industries, aim to achieve sustainability goals. Material flow mapping is essential for the construction of these industrial ecosystems. Hence, the present paper carries out a structured literature review process in order to identify the state of the art and the research opportunities on material flow mapping and industrial ecosystems. For the accomplishment of this research, the methodological procedure called Knowledge Development Process — Constructivist (ProKnow-C) was adopted. The bibliographic portfolio is represented by 35 articles of the research theme. Throughout the bibliometric analysis, a statistical analysis of the articles that compose the portfolio is presented. In the systemic analysis, the main research problems, the means of solving them and the detected opportunities about this research theme are identified. Finally, conclusions and recommendations for future research are presented.","PeriodicalId":51835,"journal":{"name":"Journal of Industrial Integration and Management-Innovation and Entrepreneurship","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2018-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78494616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-11-08DOI: 10.1142/S2424862218500161
J. Kim, Weiru Chen
Traditional journal analyses of topic trends in IS journals have manually coded target articles from chosen time periods. However, some research efforts have been made to apply automatic bibliometric approaches, such as cluster analysis and probabilistic models, to find topics in academic articles in other research areas. The purpose of this study is thus to investigate research topic trends in Engineering Management from 1998 through 2017 using an LDA analysis model. By investigating topics in EM journals, we provide partial but meaningful trends in EM research topics. The trend analysis shows that there are hot topics with increasing numbers of articles, steady topics that remain constant, and cold topics with decreasing numbers of articles.
{"title":"Research Topic Analysis in Engineering Management Using a Latent Dirichlet Allocation Model","authors":"J. Kim, Weiru Chen","doi":"10.1142/S2424862218500161","DOIUrl":"https://doi.org/10.1142/S2424862218500161","url":null,"abstract":"Traditional journal analyses of topic trends in IS journals have manually coded target articles from chosen time periods. However, some research efforts have been made to apply automatic bibliometric approaches, such as cluster analysis and probabilistic models, to find topics in academic articles in other research areas. The purpose of this study is thus to investigate research topic trends in Engineering Management from 1998 through 2017 using an LDA analysis model. By investigating topics in EM journals, we provide partial but meaningful trends in EM research topics. The trend analysis shows that there are hot topics with increasing numbers of articles, steady topics that remain constant, and cold topics with decreasing numbers of articles.","PeriodicalId":51835,"journal":{"name":"Journal of Industrial Integration and Management-Innovation and Entrepreneurship","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2018-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87547605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-11-08DOI: 10.1142/S2424862218500148
Yang Lu
This paper presents a systematic review of empirical research on cybersecurity issues. 14 empirical articles about cybersecurity, published in the two top IS journals, MISQ (12) and ISR (2), between 2008 and 2017, were selected and analyzed, classified into three categories: individual level (non-work setting), employee level (work setting), and organization level (policy/regulation environment). This paper provides a holistic picture of cybersecurity issues, for instance, fundamental theories, impressive research methods, and influencing factors. More importantly, for the first time an integrative framework was developed by R Project, which potentially text-mines end-users’ behaviors and decision-making processes toward cybersecurity under the circumstance of security breach. Some explanations of extant empirical study and potential research are addressed and discussed as well.
{"title":"Cybersecurity Research: A Review of Current Research Topics","authors":"Yang Lu","doi":"10.1142/S2424862218500148","DOIUrl":"https://doi.org/10.1142/S2424862218500148","url":null,"abstract":"This paper presents a systematic review of empirical research on cybersecurity issues. 14 empirical articles about cybersecurity, published in the two top IS journals, MISQ (12) and ISR (2), between 2008 and 2017, were selected and analyzed, classified into three categories: individual level (non-work setting), employee level (work setting), and organization level (policy/regulation environment). This paper provides a holistic picture of cybersecurity issues, for instance, fundamental theories, impressive research methods, and influencing factors. More importantly, for the first time an integrative framework was developed by R Project, which potentially text-mines end-users’ behaviors and decision-making processes toward cybersecurity under the circumstance of security breach. Some explanations of extant empirical study and potential research are addressed and discussed as well.","PeriodicalId":51835,"journal":{"name":"Journal of Industrial Integration and Management-Innovation and Entrepreneurship","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2018-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81053610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1142/S2424862218500136
Yacheng Yang, Hong Chen, Qingzhi Zhang, Jiasu Lei
Science empowers as a nation’s toughest weapon in the future global competition and cooperation. A large number of countries listed in-house R&D for science-based innovations as their core development strategy in the next decade. This paper conducts multi-case analysis on four science-based innovations in China as a reference for how a new science-based venture superseded in global market and developed indigenous capability to generate much business value as well as scientific value. The four cases detailed are container inspection system, hot redundant JX-100 DCS, high-performance Dawning supercomputers and Chinese-character laser phototypesetting system. We concluded that the successful commercialization of a nationwide and grand scientific project requires the following: (1) visionary scientists’ solid authority, direct participation, business acumen and a strong sense of patriotism, without intermediaries, are the core for successful science-based innovation and commercialization during knowledge transformation; and (2) the powerful and direct support from the policymakers. Forms of support may vary from financial incentives, policy enforcement and endorsement. The consequences for the success of science-based innovations are the creation of highly-skilled manpower, new market as well as shifting away from low-cost strategy to innovative strategy.
{"title":"The Commercialization of University and Research Institutes’ Science-Based Innovations: The Four Successful Chinese Cases","authors":"Yacheng Yang, Hong Chen, Qingzhi Zhang, Jiasu Lei","doi":"10.1142/S2424862218500136","DOIUrl":"https://doi.org/10.1142/S2424862218500136","url":null,"abstract":"Science empowers as a nation’s toughest weapon in the future global competition and cooperation. A large number of countries listed in-house R&D for science-based innovations as their core development strategy in the next decade. This paper conducts multi-case analysis on four science-based innovations in China as a reference for how a new science-based venture superseded in global market and developed indigenous capability to generate much business value as well as scientific value. The four cases detailed are container inspection system, hot redundant JX-100 DCS, high-performance Dawning supercomputers and Chinese-character laser phototypesetting system. We concluded that the successful commercialization of a nationwide and grand scientific project requires the following: (1) visionary scientists’ solid authority, direct participation, business acumen and a strong sense of patriotism, without intermediaries, are the core for successful science-based innovation and commercialization during knowledge transformation; and (2) the powerful and direct support from the policymakers. Forms of support may vary from financial incentives, policy enforcement and endorsement. The consequences for the success of science-based innovations are the creation of highly-skilled manpower, new market as well as shifting away from low-cost strategy to innovative strategy.","PeriodicalId":51835,"journal":{"name":"Journal of Industrial Integration and Management-Innovation and Entrepreneurship","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86998303","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1142/S2424862218500033
J. Oliverio
Big Data is a very popular term today. Everywhere you turn companies and organizations are talking about their Big Data solutions and Analytic applications. The source of the data used in these applications varies. However, one type of data is of great interest to most organizations, Social Media Data. Social Media applications are used by a large percentage of the world’s population. The ability to instantly connect and reach other people and companies over distributed distances is an important part of today’s society. Social Media applications allow users to share comments, opinions, ideas, and media with friends, family, businesses, and organizations. The data contained in these comments, ideas, and media are valuable to many types of organizations. Through Data Mining and Analysis, it is possible to predict specific behavior in users of the applications. Currently, several technologies aid in collecting, analyzing, and displaying this data. These technologies allow users to apply this data to solve different problems, in different organizations, including the finance, medicine, environmental, education, and advertising industries. This paper aims to highlight the current technologies used in Data Mining and Analyzing Social Media data, the industries using this data, as well as the future of this field.
{"title":"A Survey of Social Media, Big Data, Data Mining, and Analytics","authors":"J. Oliverio","doi":"10.1142/S2424862218500033","DOIUrl":"https://doi.org/10.1142/S2424862218500033","url":null,"abstract":"Big Data is a very popular term today. Everywhere you turn companies and organizations are talking about their Big Data solutions and Analytic applications. The source of the data used in these applications varies. However, one type of data is of great interest to most organizations, Social Media Data. Social Media applications are used by a large percentage of the world’s population. The ability to instantly connect and reach other people and companies over distributed distances is an important part of today’s society. Social Media applications allow users to share comments, opinions, ideas, and media with friends, family, businesses, and organizations. The data contained in these comments, ideas, and media are valuable to many types of organizations. Through Data Mining and Analysis, it is possible to predict specific behavior in users of the applications. Currently, several technologies aid in collecting, analyzing, and displaying this data. These technologies allow users to apply this data to solve different problems, in different organizations, including the finance, medicine, environmental, education, and advertising industries. This paper aims to highlight the current technologies used in Data Mining and Analyzing Social Media data, the industries using this data, as well as the future of this field.","PeriodicalId":51835,"journal":{"name":"Journal of Industrial Integration and Management-Innovation and Entrepreneurship","volume":null,"pages":null},"PeriodicalIF":9.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89688316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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