Pub Date : 2022-06-01DOI: 10.1016/j.im.2022.103677
F. Andoh-Baidoo, Juan A. Chavarria, Mary C. Jones, Ying Wang, Samer Takieddine
{"title":"Examining the state of empirical business intelligence and analytics research: A poly-theoretic approach","authors":"F. Andoh-Baidoo, Juan A. Chavarria, Mary C. Jones, Ying Wang, Samer Takieddine","doi":"10.1016/j.im.2022.103677","DOIUrl":"https://doi.org/10.1016/j.im.2022.103677","url":null,"abstract":"","PeriodicalId":13575,"journal":{"name":"Inf. Resour. Manag. J.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82952560","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 : 2022-06-01DOI: 10.1016/j.im.2022.103676
Narges Safari, A. Díaz-Andrade, A. Techatassanasoontorn
{"title":"Visibility of knowledge in social media: Conceptualization and instrument development","authors":"Narges Safari, A. Díaz-Andrade, A. Techatassanasoontorn","doi":"10.1016/j.im.2022.103676","DOIUrl":"https://doi.org/10.1016/j.im.2022.103676","url":null,"abstract":"","PeriodicalId":13575,"journal":{"name":"Inf. Resour. Manag. J.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86048442","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 : 2022-05-01DOI: 10.1016/j.im.2022.103665
Nan Feng, Jia Su, Haiyang Feng, Minqiang Li
{"title":"Designing subscription menu for software products: Whether to release a long-length option","authors":"Nan Feng, Jia Su, Haiyang Feng, Minqiang Li","doi":"10.1016/j.im.2022.103665","DOIUrl":"https://doi.org/10.1016/j.im.2022.103665","url":null,"abstract":"","PeriodicalId":13575,"journal":{"name":"Inf. Resour. Manag. J.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82586319","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 : 2022-04-01DOI: 10.1016/j.im.2022.103650
Canchu Lin, Jenell L. S. Wittmer, Xin Luo
{"title":"Cultivating proactive information security behavior and individual creativity: The role of human relations culture and IT use governance","authors":"Canchu Lin, Jenell L. S. Wittmer, Xin Luo","doi":"10.1016/j.im.2022.103650","DOIUrl":"https://doi.org/10.1016/j.im.2022.103650","url":null,"abstract":"","PeriodicalId":13575,"journal":{"name":"Inf. Resour. Manag. J.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73307348","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 : 2022-04-01DOI: 10.1016/j.im.2022.103649
J. Sadeghi, V. Prybutok, B. Sauser
{"title":"Theoretical and practical applications of blockchain in healthcare information management","authors":"J. Sadeghi, V. Prybutok, B. Sauser","doi":"10.1016/j.im.2022.103649","DOIUrl":"https://doi.org/10.1016/j.im.2022.103649","url":null,"abstract":"","PeriodicalId":13575,"journal":{"name":"Inf. Resour. Manag. J.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91396609","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}
Data Analytics in small and medium enterprise (SME) is an emerging area of research and practice. Despite of growing importance of SME and increasing research in data analytics, the existing literature lacks an integrated view of the phenomena. To bridge this gap, a systematic literature review of 42 published research studies from peer-reviewed journals from 2010-2021, related to data analytics and SME is performed. After classification, categorisation, and synthesis, four broad themes are addressed namely enabling factors, restraining factors, investing SMEs and performance indicators. Further, research gaps identified thrust research areas and insights for future research directions are presented.
{"title":"Data Analytics in Small and Medium Enterprises (SME): A Systematic Review and Future Research Directions","authors":"S. Bhardwaj","doi":"10.4018/irmj.291691","DOIUrl":"https://doi.org/10.4018/irmj.291691","url":null,"abstract":"Data Analytics in small and medium enterprise (SME) is an emerging area of research and practice. Despite of growing importance of SME and increasing research in data analytics, the existing literature lacks an integrated view of the phenomena. To bridge this gap, a systematic literature review of 42 published research studies from peer-reviewed journals from 2010-2021, related to data analytics and SME is performed. After classification, categorisation, and synthesis, four broad themes are addressed namely enabling factors, restraining factors, investing SMEs and performance indicators. Further, research gaps identified thrust research areas and insights for future research directions are presented.","PeriodicalId":13575,"journal":{"name":"Inf. Resour. Manag. J.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77522703","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}
Decision making is required by all organizations; however, the decision making styles may differ. ost commonly used decision styles include: (a) Autocratic (b) Democratic (c) Consensus and (d) Participatory. With the Globalization and expansion of businesses, professionals have become highly dependent upon the technology to support the decision making process and decision support systems have come-up as a fastest growing discipline. Present work discusses the evolution of computerized decision support, considering the: (a) Model Driven (b) Data Driven (c) Communication Driven (d) Document Driven and (e) Knowledge Driven decision support systems. All three different business levels: Operational, Tactical and Strategic have been considered in the present work to review the development of decision support systems. The traditional data analysis based approaches have been compared with the latest data analytics approaches including the social media analytics and web analytics. Examples from the different industry sectors have been incorporated for better illustrations of decision support.
{"title":"Information Processing and Data Analytics for Decision Making: A Journey From Traditional to Modern Approaches","authors":"Pooja Nanda, Prof Vikas Kumar","doi":"10.4018/irmj.291693","DOIUrl":"https://doi.org/10.4018/irmj.291693","url":null,"abstract":"Decision making is required by all organizations; however, the decision making styles may differ. ost commonly used decision styles include: (a) Autocratic (b) Democratic (c) Consensus and (d) Participatory. With the Globalization and expansion of businesses, professionals have become highly dependent upon the technology to support the decision making process and decision support systems have come-up as a fastest growing discipline. Present work discusses the evolution of computerized decision support, considering the: (a) Model Driven (b) Data Driven (c) Communication Driven (d) Document Driven and (e) Knowledge Driven decision support systems. All three different business levels: Operational, Tactical and Strategic have been considered in the present work to review the development of decision support systems. The traditional data analysis based approaches have been compared with the latest data analytics approaches including the social media analytics and web analytics. Examples from the different industry sectors have been incorporated for better illustrations of decision support.","PeriodicalId":13575,"journal":{"name":"Inf. Resour. Manag. J.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82950322","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 : 2022-04-01DOI: 10.1016/j.im.2022.103664
M. Mashayekhi, Milena M. Head
{"title":"Developing social capital through professionally oriented social network sites","authors":"M. Mashayekhi, Milena M. Head","doi":"10.1016/j.im.2022.103664","DOIUrl":"https://doi.org/10.1016/j.im.2022.103664","url":null,"abstract":"","PeriodicalId":13575,"journal":{"name":"Inf. Resour. Manag. J.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85284482","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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