Clarifying the Impact of Social Escapism in Users’ Acceptance for Online Entertaining Services—An Extension of the Technology Acceptance Model Based on Online Karaoke Television Services Users

ABSTRACT Despite the fact that the number of online services for entertainment, such as online games, online karaoke singing, etc., has increased, clarification of the impact of social escapism, reflecting users’ social compensation needs, in acceptance of online entertainment services is still lacking. Data from 217 online karaoke television users were gathered and analyzed using structure equation modeling. The empirical results showed that perceived enjoyment helped users’ social escapism and provided a psychological basis.

[1]  Lixuan Zhang,et al.  A Comparative Study of Internet Addiction between the United States and China , 2008, Cyberpsychology Behav. Soc. Netw..

[2]  P. Korgaonkar A Multivariate Analysis of Web Usage , 1999 .

[3]  Lei-da Chen,et al.  Enticing online consumers: an extended technology acceptance perspective , 2002, Inf. Manag..

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

[5]  WuJen-Her,et al.  Measuring KMS success , 2006 .

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

[7]  Wynne W. Chin,et al.  Adoption intention in GSS: relative importance of beliefs , 1995, DATB.

[8]  M. Csíkszentmihályi,et al.  Optimal experience in work and leisure. , 1989, Journal of personality and social psychology.

[9]  Qing Hu,et al.  Assimilation of Enterprise Systems: The Effect of Institutional Pressures and the Mediating Role of Top Management , 2007, MIS Q..

[10]  J. Stevens,et al.  Applied multivariate statistics for the social sciences, 4th ed. , 2002 .

[11]  Charles D. Barrett Understanding Attitudes and Predicting Social Behavior , 1980 .

[12]  Wynne W. Chin The partial least squares approach for structural equation modeling. , 1998 .

[13]  Detmar W. Straub,et al.  Trust and TAM in Online Shopping: An Integrated Model , 2003, MIS Q..

[14]  Detmar W. Straub,et al.  Gender Differences in the Perception and Use of E-Mail: An Extension to the Technology Acceptance Model , 1997, MIS Q..

[15]  Ritu Agarwal,et al.  Are Individual Differences Germane to the Acceptance of New Information Technologies , 1999 .

[16]  M. Csíkszentmihályi Play and Intrinsic Rewards , 2014 .

[17]  Rolf T. Wigand,et al.  Optimal experience of Web activities , 1999 .

[18]  Youngjin Yoo,et al.  It's all about attitude: revisiting the technology acceptance model , 2004, Decis. Support Syst..

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

[20]  S J Henly,et al.  Model selection in covariance structures analysis and the "problem" of sample size: a clarification. , 1991, Psychological bulletin.

[21]  J. Webster,et al.  Flow in Computer-Mediated Communication , 1992 .

[22]  E. Deci Effects of Externally Mediated Rewards on Intrinsic Motivation. , 1971 .

[23]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[24]  Louis Leung,et al.  College Student Motives for Chatting on ICQ , 2001, New Media Soc..

[25]  Chun-Hsiung Liao,et al.  Factors influencing the usage of 3G mobile services in Taiwan , 2007, Online Inf. Rev..

[26]  Fred D. Davis,et al.  A Model of the Antecedents of Perceived Ease of Use: Development and Test† , 1996 .

[27]  Paul Jen-Hwa Hu,et al.  Examining a Model of Information Technology Acceptance by Individual Professionals: An Exploratory Study , 2002, J. Manag. Inf. Syst..

[28]  Thompson S. H. Teo,et al.  Intrinsic and extrinsic motivation in Internet usage , 1999 .

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

[30]  Donaldo de Souza Dias Managers’ motivation for using information technology , 1998 .

[31]  Timothy Paul Cronan,et al.  On the Test-Retest Reliability of Perceived Usefulness and Perceived Ease of Use Scales , 1993 .

[32]  Ingoo Han,et al.  The impact of Web quality and playfulness on user acceptance of online retailing , 2007, Inf. Manag..

[33]  Viswanath Venkatesh,et al.  Creation of Favorable User Perceptions: Exploring the Role of Intrinsic Motivation , 1999, MIS Q..

[34]  J. Bethlehem,et al.  Introduction to Part IV , 2021, Strategic Community Partnerships, Philanthropy, and Nongovernmental Organization.

[35]  M. Csíkszentmihályi,et al.  Beyond Boredom and Anxiety: The Experience of Play in Work and Games. , 1977 .

[36]  P. M. Podsakoff,et al.  Self-Reports in Organizational Research: Problems and Prospects , 1986 .

[37]  Brian H. Spitzberg,et al.  Loneliness and Media Gratifications , 1993 .

[38]  Youn-Kyung Kim,et al.  The Relationships Among Family and Social Interaction, Loneliness, Mall Shopping Motivation, and Mall Spending of Older Consumers , 2005 .

[39]  Seth Finn,et al.  Social Isolation and Social Support as Correlates of Television Viewing Motivations , 1988 .

[40]  R. Oliver Whence Consumer Loyalty? , 1999 .

[41]  Karl G. Jöreskog,et al.  Lisrel 8: User's Reference Guide , 1997 .

[42]  Mark Srite,et al.  The Role of Espoused National Cultural Values in Technology Acceptance , 2006, MIS Q..

[43]  Rex B. Kline,et al.  Principles and Practice of Structural Equation Modeling , 1998 .

[44]  Viswanath Venkatesh,et al.  User Acceptance Enablers in Individual Decision Making About Technology: Toward an Integrated Model , 2002, Decis. Sci..

[45]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[46]  Mun Y. Yi,et al.  Predicting the use of web-based information systems: self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model , 2003, Int. J. Hum. Comput. Stud..

[47]  Louis Leung,et al.  Impacts of Net-generation attributes, seductive properties of the Internet, and gratifications-obtained on Internet use , 2003, Telematics Informatics.

[48]  D. A. Kenny,et al.  The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. , 1986, Journal of personality and social psychology.

[49]  Honglei Li,et al.  Technology acceptance model for internet banking: an invariance analysis , 2005, Inf. Manag..

[50]  I. Ajzen,et al.  Understanding Attitudes and Predicting Social Behavior , 1980 .

[51]  Peter A. Todd,et al.  Perceived Usefulness, Ease of Use, and Usage of Information Technology: A Replication , 1992, MIS Q..

[52]  Mary Helen Fagan,et al.  Exploring the Intention to Use Computers: An Empirical Investigation of the Role of Intrinsic Motivation, Extrinsic Motivation, and Perceived Ease of Use , 2008, J. Comput. Inf. Syst..

[53]  D. Cole Utility of confirmatory factor analysis in test validation research. , 1987, Journal of consulting and clinical psychology.

[54]  Scott B. MacKenzie,et al.  Common method biases in behavioral research: a critical review of the literature and recommended remedies. , 2003, The Journal of applied psychology.

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

[56]  S. Deshpande,et al.  Task Characteristics and the Experience of Optimal Flow in Human—Computer Interaction , 1994 .

[57]  Jen-Her Wu,et al.  An organizational memory information systems success model: an extension of DeLone and McLean's I/S success model , 1998, Proceedings of the Thirty-First Hawaii International Conference on System Sciences.

[58]  M. Stein,et al.  Lifetime patterns of social phobia: A retrospective study of the course of social phobia in a nonclinical population , 1998, Depression and anxiety.

[59]  Young-Gul Kim,et al.  Extending the TAM for a World-Wide-Web context , 2000, Inf. Manag..

[60]  O. Vassend,et al.  Validation of the NEO Personality Inventory and the five‐factor model. Can findings from exploratory and confirmatory factor analysis be reconciled? , 1997 .

[61]  Rolph E. Anderson,et al.  Multivariate Data Analysis (7th ed. , 2009 .

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

[63]  Bernadette Szajna,et al.  Empirical evaluation of the revised technology acceptance model , 1996 .

[64]  J. Webster,et al.  The Dimensionality and Correlates of Flow in Human-Computer Interactions. , 1993 .

[65]  M. Yi,et al.  PREDICTING THE USE OF WEB-BASED INFORMATION SYSTEMS: INTRINSIC MOTIVATION AND SELF-EFFICACY , 2002 .

[66]  Larry Downes,et al.  Unleashing the Killer App: Digital Strategies for Market Dominance , 1998 .

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

[68]  Anol Bhattacherjee,et al.  Explaining information technology usage: A test of competing models☆ , 2008 .

[69]  A. Rubin Television uses and gratifications: The interactions of viewing patterns and motivations , 1983 .

[70]  Donna L. Hoffman,et al.  A New Marketing Paradigm for Electronic Commerce , 1997, Inf. Soc..

[71]  Viswanath Venkatesh,et al.  Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model , 2000, Inf. Syst. Res..

[72]  J. Blumler The Role of Theory in Uses and Gratifications Studies , 1979 .

[73]  John Lim,et al.  A conceptual framework on the adoption of negotiation support systems , 2003, Inf. Softw. Technol..

[74]  Dennis L. Hoffman,et al.  Marketing in Hypermedia Computer-Mediated Environments : Conceptual Foundations 1 ) , 1998 .

[75]  Hans van der Heijden,et al.  User Acceptance of Hedonic Information Systems , 2004, MIS Q..

[76]  R. Gonzalez Applied Multivariate Statistics for the Social Sciences , 2003 .

[77]  R. Perloff,et al.  Loneliness, Depression and the Uses of Television , 1983 .