Business social media analytics: Characterization and conceptual framework

Abstract A substantial portion of internet usage today involves social media applications. Aside from personal use, given the vast amount of content stored, and rapid diffusion of information, in social media, businesses have begun exploiting social media for competitive advantage. Its popularity has led to the recognition of Social Media Analytics (SMA) as a distinct, albeit formative, sub-field within the Analytics field. Against this backdrop, we examine available characterizations of SMA that collectively identify various considerations of interest. However, their diversity suggests the need for adopting a concise, unifying SMA definition. We present a definition that subsumes salient aspects of existing characterizations and incorporates novel features of interest to Business SMA. Further, we examine available conceptual frameworks for Business SMA and advance a framework that comprehensively models the Business SMA phenomenon. We also conduct a survey of recently published SMA research in the premier, academic Management Information Systems journals and use some of the surveyed papers to validate our framework.

[1]  Bernhard Krieger,et al.  Social media analytics for future oriented policy making , 2013, European Journal of Futures Research.

[2]  Jae-Young Oh,et al.  Knowledge‐dissemination channels: Analytics of stature evaluation , 2017, J. Assoc. Inf. Sci. Technol..

[3]  Kam-Fai Wong,et al.  Web 2.0 Environmental Scanning and Adaptive Decision Support for Business Mergers and Acquisitions , 2012, MIS Q..

[4]  David J. Faulds,et al.  Social media: The new hybrid element of the promotion mix , 2009 .

[5]  Beibei Li,et al.  Examining the Impact of Ranking on Consumer Behavior and Search Engine Revenue , 2013, Manag. Sci..

[6]  Hsinchun Chen,et al.  Social Media Analytics and Intelligence , 2010, IEEE Intell. Syst..

[7]  Maral Mayeh,et al.  Understanding the role of social media monitoring in generating external intelligence , 2012 .

[8]  Tim Cooper.  Enhancing insight discovery by balancing the focus of analytics between strategic and tactical levels , 2006 .

[9]  Huan Liu,et al.  Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose , 2013, ICWSM.

[10]  Dean A. Shepherd,et al.  Cognitive Processes of Opportunity Recognition: The Role of Structural Alignment , 2010, Organ. Sci..

[11]  Jim Sterne,et al.  Social Media Metrics: How to Measure and Optimize Your Marketing Investment , 2010 .

[12]  David M. Steiger,et al.  Enhancing User Understanding in a Decision Support System: A Theoretical Basis and Framework , 1998, J. Manag. Inf. Syst..

[13]  Graeme G. Shanks,et al.  The Business Impact Of Social Media Analytics , 2013, ECIS.

[14]  Daniel J. Brass,et al.  Network Analysis in the Social Sciences , 2009, Science.

[15]  Bernardo A. Huberman,et al.  The Pulse of News in Social Media: Forecasting Popularity , 2012, ICWSM.

[16]  P. Costa,et al.  The five-factor theory of personality. , 2008 .

[17]  L. R. Goldberg.  The structure of phenotypic personality traits. , 1993, The American psychologist.

[18]  Yen-Chih Huang,et al.  Social networks and opportunity recognition: A cultural comparison between Taiwan and the United States , 2011 .

[19]  Kathleen M. Sutcliffe,et al.  Special Issue: Frontiers of Organization Science, Part 1 of 2: Organizing and the Process of Sensemaking , 2005, Organ. Sci..

[20]  D. Teece,et al.  DYNAMIC CAPABILITIES AND STRATEGIC MANAGEMENT , 1997 .

[21]  Wu He,et al.  A novel social media competitive analytics framework with sentiment benchmarks , 2015, Inf. Manag..

[22]  Martin Wetzels,et al.  More than Words: The Influence of Affective Content and Linguistic Style Matches in Online Reviews on Conversion Rates , 2013 .

[23]  David M. Blei,et al.  Probabilistic topic models , 2012, Commun. ACM.

[24]  Bruno S. Silvestre,et al.  Social Media? Get Serious! Understanding the Functional Building Blocks of Social Media , 2011 .

[25]  Jay F. Nunamaker,et al.  Identifying and Profiling Key Sellers in Cyber Carding Community: AZSecure Text Mining System , 2016, J. Manag. Inf. Syst..

[26]  Robert A. Baron,et al.  Opportunity Recognition as the Detection of Meaningful Patterns: Evidence from Comparisons of Novice and Experienced Entrepreneurs , 2006, Manag. Sci..

[27]  Weiguo Fan,et al.  An Integrated Text Analytic Framework for Product Defect Discovery , 2015 .

[28]  D. Hoffman,et al.  Can You Measure the ROI of Your Social Media Marketing , 2010 .

[29]  Wagner A. Kamakura,et al.  Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models , 2006 .

[30]  Stephen Shaoyi Liao,et al.  A new temporal and social PMF-based method to predict users' interests in micro-blogging , 2013, Decis. Support Syst..

[31]  Varghese S. Jacob,et al.  The roles of computerized support systems: a decision subprocess-based analysis , 1991 .

[32]  Gary Klein,et al.  Problem detection , 2005, Cognition, Technology & Work.

[33]  Nick Koudas,et al.  BlogScope: A System for Online Analysis of High Volume Text Streams , 2007, VLDB.

[34]  R. Hogarth,et al.  BEHAVIORAL DECISION THEORY: PROCESSES OF JUDGMENT AND CHOICE , 1981 .

[35]  Lei Zhang,et al.  Sentiment Analysis and Opinion Mining , 2017, Encyclopedia of Machine Learning and Data Mining.

[36]  Melody Y. Kiang,et al.  Journal of Homeland Security and Emergency Management Social Media Analytics for Radical Opinion Mining in Hate Group Web Forums , 2011 .

[37]  Joel Brynielsson,et al.  Tracking geographical locations using a geo-aware topic model for analyzing social media data , 2017, Decis. Support Syst..

[38]  Dionisios N. Sotiropoulos,et al.  A computational model for mining consumer perceptions in social media , 2017, Decis. Support Syst..

[39]  Jonathon N. Cummings,et al.  The quality of online social relationships , 2002, CACM.

[40]  Stefan Stieglitz,et al.  Social media and political communication: a social media analytics framework , 2012, Social Network Analysis and Mining.

[41]  R. Brodie,et al.  Consumer Brand Engagement in Social Media: Conceptualization, Scale Development and Validation , 2014 .

[42]  Houn-Gee Chen,et al.  Social media and human need satisfaction: Implications for social media marketing , 2015 .

[43]  James J. Stapleton.  Executive's Guide to Knowledge Management: The Last Competitive Advantage , 2002 .

[44]  Siddhartha Bhattacharyya,et al.  Large-Scale Network Analysis for Online Social Brand Advertising , 2016, MIS Q..

[45]  Stefan Smolnik,et al.  Return on Investment in Social Media--Does the Hype Pay Off? Towards an Assessment of the Profitability of Social Media in Organizations , 2012, 2012 45th Hawaii International Conference on System Sciences.

[46]  Stefan Stieglitz,et al.  Social Media Analytics , 2014, Business & Information Systems Engineering.

[47]  Clyde W. Holsapple,et al.  Business Social Media Analytics: Definition, Benefits, and Challenges , 2014, AMCIS.

[48]  Matthew S. Gerber,et al.  Predicting crime using Twitter and kernel density estimation , 2014, Decis. Support Syst..

[49]  Sonali Bhattacharya,et al.  The contemporary framework on social media analytics as an emerging tool for behavior informatics, HR analytics and business process , 2012 .

[50]  K. Weick.  The Collapse of Sensemaking in Organizations: The Mann Gulch Disaster , 1993 .