Exploring the linkages between perceived information accessibility and microblog stickiness: The moderating role of a sense of community

Abstract In the context of the exponential increase of information in society, this study examines the relationship between perceived information accessibility and microblog stickiness. The results indicate an inverted U-shaped relationship between perceived information accessibility and stickiness. To determine how to avoid the information overload that can compromise the stickiness of the microblog site, this study examines the moderating effects of sense of community. The inverted U-shaped relationship becomes linear as levels of sense of community increase. The results suggest microblog service providers can increase the sense of community in order to reduce the negative impact of information overload on stickiness.

[1]  Gina Masullo Chen,et al.  Tweet this: A uses and gratifications perspective on how active Twitter use gratifies a need to connect with others , 2011, Comput. Hum. Behav..

[2]  R. Bagozzi,et al.  Self-categorization, affective commitment and group self-esteem as distinct aspects of social identity in the organization. , 2000, The British journal of social psychology.

[3]  Fatemeh Zahedi,et al.  The Measurement of Web-Customer Satisfaction: An Expectation and Disconfirmation Approach , 2002, Inf. Syst. Res..

[4]  Stuart J. Barnes,et al.  Modeling Use Continuance Behavior in Microblogging Services: The Case of Twitter , 2011, J. Comput. Inf. Syst..

[5]  Rong-An Shang,et al.  The effects of information overload on consumers' subjective state towards buying decision in the internet shopping environment , 2009, Electron. Commer. Res. Appl..

[6]  R. LaRose,et al.  Electronic Bulletin Boards and “Public Goods” Explanations of Collaborative Mass Media , 1993 .

[7]  James C. Anderson,et al.  STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH , 1988 .

[8]  Linda Harasim,et al.  Teaching and Learning On-Line: Issues in Computer-Mediated Graduate Courses , 2009 .

[9]  John P. Meyer,et al.  AFFECTIVE, CONTINUANCE, AND NORMATIVE COMMITMENT TO THE ORGANIZATION: A META-ANALYSIS OF ANTECEDENTS, CORRELATES, AND CONSEQUENCES , 2002 .

[10]  Judy Chuan-Chuan Lin,et al.  Towards an understanding of the behavioural intention to use a web site , 2000, Int. J. Inf. Manag..

[11]  Anne Morris,et al.  The problem of information overload in business organisations: a review of the literature , 2000, Int. J. Inf. Manag..

[12]  B. Lev,et al.  A Rude Awakening: Internet Shakeout in 2000 , 2000 .

[13]  A. Tversky,et al.  Extensional versus intuitive reasoning: the conjunction fallacy in probability judgment , 1983 .

[14]  John Feather,et al.  Information Society: A Study of Continuity and Change , 1998 .

[15]  J. Cacioppo,et al.  Attitudes and Persuasion: Classic and Contemporary Approaches , 1981 .

[16]  Mary J. Culnan,et al.  The dimensions of accessibility to online information: implications for implementing office information systems , 1984, TOIS.

[17]  J. Bettman An information processing theory of consumer choice , 1979 .

[18]  J. B. Smith,et al.  Selling alliances: Issues and insights , 1997 .

[19]  Klaus Moser,et al.  Coping with information overload in email communication: Evaluation of a training intervention , 2010, Comput. Hum. Behav..

[20]  N. Malhotra Information Load and Consumer Decision Making , 1982 .

[21]  Jan Marco Leimeister,et al.  Virtual Communities , 2014, Encyclopedia of Creativity, Invention, Innovation and Entrepreneurship.

[22]  Allen Newell,et al.  Human Problem Solving. , 1973 .

[23]  Hock-Hai Teo,et al.  Evaluating information accessibility and community adaptivity features for sustaining virtual learning communities , 2003, Int. J. Hum. Comput. Stud..

[24]  R. Bagozzi,et al.  On the evaluation of structural equation models , 1988 .

[25]  P. H. Lindsay Human Information Processing , 1977 .

[26]  O. E. Klapp Overload and Boredom: Essays on the Quality of Life in the Information Society , 1986 .

[27]  S. Kiesler,et al.  Applying Common Identity and Bond Theory to Design of Online Communities , 2007 .

[28]  Amy L. Ostrom,et al.  Loyalty programs and a sense of community , 2005 .

[29]  Julia Müller,et al.  Sense of virtual community: A follow up on its measurement , 2012, Comput. Hum. Behav..

[30]  Wee-Kheng Tan,et al.  The usage of online tourist information sources in tourist information search: an exploratory study , 2012 .

[31]  Kevin Lane Keller,et al.  Effects of Quality and Quantity of Information on Decision Effectiveness , 1987 .

[32]  Mary Beth Rosson,et al.  How and why people Twitter: the role that micro-blogging plays in informal communication at work , 2009, GROUP.

[33]  J. Jacoby,et al.  Brand Choice Behavior as a Function of Information Load , 1974 .

[34]  Hsiu-Fen Lin,et al.  Determinants of successful virtual communities: Contributions from system characteristics and social factors , 2008, Inf. Manag..

[35]  M. Lynne Markus,et al.  The experienced "sense" of a virtual community: characteristics and processes , 2004, DATB.

[36]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[37]  Ian McShane,et al.  Analysing the Challenges for Large Public Libraries in the Twenty-first Century: A Case Study of the State Library of Victoria in Australia , 2008, First Monday.

[38]  R. Brent Gallupe,et al.  Information Overload: Addressing the Productivity Paradox in Face-to-Face Electronic Meetings , 1999, J. Manag. Inf. Syst..

[39]  Elliot Aronson,et al.  The effect of severity of initiation on liking for a group. , 1959 .

[40]  S. West,et al.  Multiple Regression: Testing and Interpreting Interactions. , 1994 .

[41]  Youjae Yi,et al.  An integrated model of customer social exchange relationship: the moderating role of customer experience , 2009 .

[42]  William M. Sullivan,et al.  Habits of the Heart: Individualism and Commitment in American Life , 1985 .

[43]  Hanna-Kaisa Ellonen,et al.  Antecedents of an experienced sense of virtual community , 2011, Comput. Hum. Behav..

[44]  Daren C. Brabham Moving the crowd at iStockphoto: The composition of the crowd and motivations for participation in a crowdsourcing application , 2008, First Monday.

[45]  Joon Koh,et al.  Sense of Virtual Community : Conceptual Framework and Empirical Validation , 2001 .

[46]  Richard P. Bagozzi,et al.  Assessing Construct Validity in Organizational Research , 1991 .

[47]  F. Reichheld,et al.  E-LOYALTY: YOUR SECRET WEAPON ON THE WEB , 2003 .

[48]  Miles Efron,et al.  Information search and retrieval in microblogs , 2011, J. Assoc. Inf. Sci. Technol..

[49]  Robert L. Hamblin,et al.  Group Integration during a Crisis , 1958 .

[50]  W. Scott Dictionary of sociology , 2005 .

[51]  B. Lev,et al.  A Rude Awakening: Internet Shakeout in 2000 , 2000 .

[52]  D. Chavis,et al.  Sense of community: A definition and theory , 1986 .

[53]  A. Tversky,et al.  Extensional versus intuitive reasoning: the conjunction fallacy in probability judgment , 1983 .

[54]  Glenn J. Browne,et al.  Why Do Internet Users Stick with a Specific Web Site? A Relationship Perspective , 2006, Int. J. Electron. Commer..

[55]  R. Bagozzi,et al.  A Social Influence Model of Consumer Participation in Network- and Small-Group-Based Virtual Communities , 2004 .

[56]  Joseph Kahne,et al.  Building School Communities: An Experience-Based Model. , 1993 .

[57]  Timothy W. Finin,et al.  Why we twitter: understanding microblogging usage and communities , 2007, WebKDD/SNA-KDD '07.

[58]  D. Shenk Data Smog: Surviving the Information Glut , 1997 .

[59]  J. Hair Multivariate data analysis , 1972 .

[60]  Hanna-Kaisa Ellonen,et al.  The development of a sense of virtual community , 2007, Int. J. Web Based Communities.

[61]  Daniel A. Levinthal,et al.  ABSORPTIVE CAPACITY: A NEW PERSPECTIVE ON LEARNING AND INNOVATION , 1990 .

[62]  Ingoo Han,et al.  The Effects of Consumer Knowledge on Message Processing of Electronic Word of Mouth via Online Consumer Reviews , 2008, ECIS.

[63]  David Bawden,et al.  Perspectives on information overload , 1999 .

[64]  Won-Moo Hur,et al.  The role of commitment on the customer benefits–loyalty relationship in mobile service industry , 2010 .

[65]  Anita L. Blanchard Testing a model of sense of virtual community , 2008, Comput. Hum. Behav..

[66]  Fang-Ming Hsu,et al.  The role of customer values in accepting information technologies in the public information service sector , 2010 .

[67]  R. Friedrich In Defense of Multiplicative Terms In Multiple Regression Equations , 1982 .

[68]  Эшфорт Блейк,et al.  Social identity theory and the organization , 2012 .

[69]  Gustavo S. Mesch,et al.  E-mail characteristics, work performance and distress , 2010, Comput. Hum. Behav..

[70]  Ashutosh Tiwari,et al.  Evaluation of business processes using probability-driven activity-based costing , 2010 .

[71]  Pushkin Kachroo,et al.  A feedback control approach to maintain consumer information load in online shopping environments , 2011, Inf. Manag..

[72]  Zilong Liu,et al.  Study of Online Stickiness: Its Antecedents and Effect on Repurchase Intention , 2010, 2010 International Conference on e-Education, e-Business, e-Management and e-Learning.

[73]  Raphael Amit,et al.  Strategies for value creation in e-commerce:: best practice in Europe , 2000 .

[74]  Jenny Preece,et al.  Online Communities: Designing Usability and Supporting Sociability , 2000 .

[75]  N. Miller,et al.  Speed of speech and persuasion. , 1976 .

[76]  Waiman Cheung,et al.  Determinants of the intention to use Internet/WWW at work: a confirmatory study , 2001, Inf. Manag..

[77]  Gilad Ravid,et al.  Information overload and the message dynamics of online interaction spaces: a theoretical model and empirical exploration , 2004, IEEE Engineering Management Review.

[78]  David Shenk Data smog: surviving the info glut , 1997 .

[79]  W. Mcguire Some Internal Psychological Factors Influencing Consumer Choice , 1976 .

[80]  Martin H. Levinson Data Smog: Surviving the Information Glut , 1998 .