Continuance intention of blog users: the impact of perceived enjoyment, habit, user involvement and blogging time

The purpose of this study is to understand factors that affect continuance intention of a popular hedonic information system, blogs. The expectation-confirmation theory (ECT) is adapted with perceived enjoyment, habit and user involvement. Data was collected via an online survey. A total of 430 valid responses were collected. The research model was assessed by structural equation modelling (SEM). The results show that continuance intention of blog use was predicted collectively by user involvement, satisfaction and perceived enjoyment. Habit, however, exhibited no strong relationship with satisfaction and use intention. Users' satisfaction with blog use was predicted primarily by perceived enjoyment, followed by users' confirmation of expectation and user involvement. Perceived enjoyment was predicted by users' involvement and users' confirmation of expectation. Blogging time significantly moderates the effect of habit on perceived enjoyment, but not on satisfaction and continuance intention. The integrated model explains 65% of the satisfaction and 57% of continuance intention. The results suggest that integrating perceived enjoyment and user involvement into the ECT provides better insights into continuous use in the blog context.

[1]  Clive Frankish,et al.  User involvement in the early stages of the development of an aircraft warning system , 1996, Behav. Inf. Technol..

[2]  Jane E. Klobas,et al.  User developed application success: sources and effects of involvement , 2008, Behav. Inf. Technol..

[3]  L. Festinger,et al.  A Theory of Cognitive Dissonance , 2017 .

[4]  Lai-Chen Lu,et al.  Collaborative E-Learning Using Semantic Course Blog , 2008, Int. J. Distance Educ. Technol..

[5]  Sari Kujala,et al.  User involvement: A review of the benefits and challenges , 2003, Behav. Inf. Technol..

[6]  Gracie Lawson-Borders,et al.  Blogs in Campaign Communication , 2005 .

[7]  R. MacCallum,et al.  Power analysis and determination of sample size for covariance structure modeling. , 1996 .

[8]  Heikki Karjaluoto,et al.  Consumer acceptance of online banking: an extension of the technology acceptance model , 2004, Internet Res..

[9]  John P. Charlton,et al.  Distinguishing addiction and high engagement in the context of online game playing , 2007, Comput. Hum. Behav..

[10]  I. Ajzen.  The theory of planned behavior , 1991 .

[11]  Christopher L. Claggett.  The investigation. , 1978, Hospital supervisor's bulletin.

[12]  H C Triandis,et al.  Values, attitudes, and interpersonal behavior. , 1980, Nebraska Symposium on Motivation. Nebraska Symposium on Motivation.

[13]  Judy E. Scott.  The measurement of information systems effectiveness: evaluating a measuring instrument , 1995, DATB.

[14]  M. Sherif,et al.  Book Reviews: The Psychology of Ego-Involvements: Social Attitudes & Identifications , 1947 .

[15]  Wendy Wood,et al.  Habit and intention in everyday life: The multiple processes by which past behavior predicts future behavior. , 1998 .

[16]  Naresh K. Malhotra,et al.  A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena , 2005, Manag. Sci..

[17]  R. LaRose.  The Problem of Media Habits , 2010 .

[18]  Terence A. Shimp,et al.  Effects of involvement, argument strength, and source characteristics on central and peripheral processing of advertising , 1990 .

[19]  Moez Limayem,et al.  How Habit Limits the Predictive Power of Intention: The Case of Information Systems Continuance , 2007, MIS Q..

[20]  Louis Raymond,et al.  Determinants of EIS use: Testing a behavioral model, , 1995, Decis. Support Syst..

[21]  Moez Limayem,et al.  Force of Habit and Information Systems Usage: Theory and Initial Validation , 2003, J. Assoc. Inf. Syst..

[22]  Kamel Rouibah,et al.  Effect of management support, training, and user involvement on system usage and satisfaction in Kuwait , 2009, Ind. Manag. Data Syst..

[23]  Heeseok Lee,et al.  Exploring continued online service usage behavior: The roles of self-image congruity and regret , 2009, Comput. Hum. Behav..

[24]  Imsook Ha,et al.  Determinants of adoption of mobile games under mobile broadband wireless access environment , 2007, Inf. Manag..

[25]  George Ditsa,et al.  Information Management: Support Systems and Multimedia Technology , 2003 .

[26]  Kwasi Amoako-Gyampah,et al.  User involvement and user satisfaction: An exploratory contingency model , 1993, Inf. Manag..

[27]  Fred D. Davis,et al.  Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1 , 1992 .

[28]  Leela Damodaran,et al.  User involvement in the systems design process-a practical guide for users , 1996, Behav. Inf. Technol..

[29]  H. E. Krugman.  THE IMPACT OF TELEVISION ADVERTISING: LEARNING WITHOUT INVOLVEMENT , 1965 .

[30]  J. Zaichkowsky.  Conceptualizing Involvement , 1986 .

[31]  Paul Norman,et al.  The Theory of Planned Behaviour and exercise: Evidence for the moderating role of past behaviour , 2000 .

[32]  Xianggui Qu,et al.  Multivariate Data Analysis , 2007, Technometrics.

[33]  Feng-Yang Kuo,et al.  An empirical investigation of habitual usage and past usage on technology acceptance evaluations and continuance intention , 2008, DATB.

[34]  D. Bem.  Self-Perception Theory , 1972 .

[35]  Margaret Meiling Luo,et al.  Post-Adoption Behaviors of E-Service Customers: The Interplay of Cognition and Emotion , 2008, Int. J. Electron. Commer..

[36]  S. Asch,et al.  The psychology of ego-involvements: Social attitudes and identifications. , 1948 .

[37]  Ana Ortiz de Guinea,et al.  Why break the habit of a lifetime? rethinking the roles of intention, habit, and emotion in continuing information technology use , 2009 .

[38]  Dong Hee Shin,et al.  An empirical investigation of a modified technology acceptance model of IPTV , 2009, Behav. Inf. Technol..

[39]  Blake Ives,et al.  An empirical study of the impact of user involvement on system usage and information satisfaction , 1986, CACM.

[40]  Anol Bhattacherjee,et al.  An empirical analysis of the antecedents of electronic commerce service continuance , 2001, Decis. Support Syst..

[41]  Sheng Wu,et al.  Integrating perceived playfulness into expectation-confirmation model for web portal context , 2005, Inf. Manag..

[42]  J. Zaichkowsky.  The Personal Involvement Inventory: Reduction, Revision, and Application to Advertising , 1994 .

[43]  P. Bentler,et al.  Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .

[44]  Mark I. Hwang,et al.  The effect of user engagement on system success: A meta-analytical integration of research findings , 1999, Inf. Manag..

[45]  R. Bagozzi.  Attitudes, intentions, and behavior: A test of some key hypotheses. , 1981 .

[46]  Girish N. Punj.  The formulation, empirical specification and testing of a model of consumer information search behavior for new automobiles , 1983 .

[47]  R. Oliver.  A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions , 1980 .

[48]  Chin-Lung Hsu,et al.  Acceptance of blog usage: The roles of technology acceptance, social influence and knowledge sharing motivation , 2008, Inf. Manag..

[49]  K. Bollen.  A New Incremental Fit Index for General Structural Equation Models , 1989 .

[50]  A. D. Fave,et al.  The investigation of optimal experience and apathy : developmental and psychosocial implications , 2005 .

[51]  R. Oliver.  Cognitive, affective, and attribute bases of the satisfaction response. , 1993 .

[52]  Wendy Wood,et al.  Changing circumstances, disrupting habits. , 2005, Journal of personality and social psychology.

[53]  C. W. Park,et al.  Familiarity and Its Impact on Consumer Decision Biases and Heuristics , 1981 .

[54]  J. Zaichkowsky.  Measuring the Involvement Construct , 1985 .

[55]  B. Verplanken,et al.  Predicting behavior from actions in the past : repeated decision making or a matter of habit? , 1998 .

[56]  Henri Barki,et al.  Measuring User Participation, User Involvement, and User Attitude , 1994, MIS Q..

[57]  M. Brucks.  The Effects of Product Class Knowledge on Information Search Behavior , 1985 .

[58]  Kwasi Amoako-Gyampah,et al.  Perceived usefulness, user involvement and behavioral intention: an empirical study of ERP implementation , 2007, Comput. Hum. Behav..

[59]  Marios Koufaris,et al.  Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior , 2002, Inf. Syst. Res..

[60]  Alexander Serenko,et al.  Developing a (Bad) Habit: Antecedents and Adverse Consequences of Social Networking Website Use Habit , 2011, AMCIS.

[61]  D. Kivlahan,et al.  Addictive behaviors: etiology and treatment. , 1988, Annual review of psychology.

[62]  Juhani Iivari,et al.  Why do individuals use computer technology? A Finnish case study , 1995, Inf. Manag..

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

[64]  Soon Ang,et al.  Work Outcomes and Job Design for Contract Versus Permanent Information Systems Professionals on Software Development Teams , 2001, MIS Q..

[65]  Madely du Preez.  Information Management: Support Systems & Multimedia Technology , 2004 .

[66]  P. Bentler,et al.  Significance Tests and Goodness of Fit in the Analysis of Covariance Structures , 1980 .

[67]  H. Helson.  Adaptation-level theory : an experimental and systematic approach to behavior , 1964 .

[68]  William R. Swinyard,et al.  The Effects of Mood, Involvement, and Quality of Store Experience on Shopping Intentions , 1993 .

[69]  Henri Barki,et al.  Rethinking the Concept of User Involvement , 1989, MIS Q..

[70]  Joshua L. Cox,et al.  Blogs and the corporation: managing the risk, reaping the benefits , 2008 .

[71]  A. van Knippenberg,et al.  Habit versus planned behaviour: a field experiment. , 1998, The British journal of social psychology.

[72]  David Gefen,et al.  TAM or Just Plain Habit: A Look at Experienced Online Shoppers , 2003, J. Organ. End User Comput..

[73]  Pei-Yun Tsai,et al.  Personalized recommendation of popular blog articles for mobile applications , 2011, Inf. Sci..

[74]  J. Cacioppo,et al.  Central and Peripheral Routes to Advertising Effectiveness: The Moderating Role of Involvement , 1983 .

[75]  Christine T. Kydd,et al.  Individual characteristics associated with World Wide Web use: an empirical study of playfulness and motivation , 1997, DATB.

[76]  Paulus Insap Santosa,et al.  User involvement and user satisfaction with information-seeking activity , 2005, Eur. J. Inf. Syst..

[77]  Christian Wagner,et al.  Weblog success: Exploring the role of technology , 2006, Int. J. Hum. Comput. Stud..

[78]  Cynthia M. Jackson,et al.  Toward an Understanding of the Behavioral Intention to Use an Information System , 1997 .

[79]  Masayuki Takeda,et al.  Users' Behavioral Analysis on Weblogs , 2006, AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs.

[80]  Jane M. Howell,et al.  Influence of Experience on Personal Computer Utilization: Testing a Conceptual Model , 1994, J. Manag. Inf. Syst..

[81]  P. A. Dabholkar,et al.  A comprehensive framework for service quality: an investigation of critical conceptual and measurement issues through a longitudinal study , 2000 .

[82]  Eric J. Johnson,et al.  Product familiarity and learning new information , 1984 .

[83]  Chechen Liao,et al.  The roles of habit and web site quality in e-commerce , 2006, Int. J. Inf. Manag..

[84]  Donna L. Hoffman,et al.  Measuring the Customer Experience in Online Environments: A Structural Modeling Approach , 2000 .

[85]  A. Tenbrunsel,et al.  Organizational Behavior and Human Decision Processes , 2013 .

[86]  Tai-Kuei Yu,et al.  Exploring factors that influence knowledge sharing behavior via weblogs , 2010, Comput. Hum. Behav..

[87]  Richard,et al.  Extrinsic and Intrinsic Motivation to Use Computers in the Workplace , 2022 .

[88]  Hans van der Heijden,et al.  Factors influencing the usage of websites: the case of a generic portal in The Netherlands , 2003, Inf. Manag..

[89]  Anol Bhattacherjee,et al.  Understanding Information Systems Continuance: An Expectation-Confirmation Model , 2001, MIS Q..

[90]  Jeremy B. Williams,et al.  Exploring the use of blogs as learning spaces in the higher education sector , 2004 .

[91]  Per E. Pedersen,et al.  Explaining intention to use mobile chat services: moderating effects of gender , 2005 .

[92]  Ming-Chi Lee,et al.  Explaining and predicting users' continuance intention toward e-learning: An extension of the expectation-confirmation model , 2010, Comput. Educ..

[93]  Robert LaRose,et al.  Unregulated Internet Usage: Addiction, Habit, or Deficient Self-Regulation? , 2003 .

[94]  Hyung Nam Kim,et al.  The phenomenon of blogs and theoretical model of blog use in educational contexts , 2008, Comput. Educ..

[95]  Nick Bontis,et al.  End-user adoption of animated interface agentsin everyday work applications , 2007, Behav. Inf. Technol..