Determinants of continuance intention factor in Kuwait communication market: Case study of Zain-Kuwait

We measure effects over continuance intention.We used two determinant factors justice and quality.Determinants are measured through their multidimensionality.Outcome quality is most significant factor. The continuance intention is one of the most important factors that affect a company's profitability and market share. Yet, this factor and its effect remain unexplored in the Arabian communication market.In this study, we examine two multidimensional constructs of customer satisfaction that impact the continuance intention: quality and justice. Quality is measured through three dimensions: interaction, environment, and outcome. Justice is also measured through three dimensions: interactional, procedural, and distributive. We survey 512 customers in Kuwait's communication market on their intention to continue with their current mobile service provider. We find that the outcome quality is the most influential construct on the perceived usefulness of the provider, which wields the most influence on the continuance intention.

[1]  Michael D. Johnson,et al.  Service Equity, Satisfaction, and Loyalty: From Transaction-Specific to Cumulative Evaluations , 2003 .

[2]  C. Grönroos A Service Quality Model and its Marketing Implications , 1984 .

[3]  Glenn J. Browne,et al.  Online Consumers' Switching Behavior: A Buyer-Seller Relationship Perspective , 2007, J. Electron. Commer. Organ..

[4]  RouibahK.,et al.  Effect of Personal Innovativeness, Attachment Motivation and Social Norms on the Acceptance of Camera Mobile Phones , 2011 .

[5]  Shiu-Wan Hung,et al.  Exploring the intention to continue using social networking sites: : The case of Facebook , 2015 .

[6]  Phani Tej Adidam,et al.  The Impact of Perceived Fairness on Satisfaction: Are Airport Security Measures Fair? Does it Matter? , 2006 .

[7]  J. Peiró,et al.  Justice Perceptions as Predictors of Customer Satisfaction: The Impact of Distributive, Procedural, and Interactional Justice1 , 2006 .

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

[9]  Jinwoo Kim,et al.  Measurement development for cultural characteristics of mobile Internet users at the individual level , 2010, Comput. Hum. Behav..

[10]  Long Zhang,et al.  A multidimensional and hierarchical model of mobile service quality , 2009, Electron. Commer. Res. Appl..

[11]  Gordon L. Fullerton The service quality–loyalty relationship in retail services: does commitment matter? , 2005 .

[12]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[13]  A. Parasuraman,et al.  SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. , 1988 .

[14]  James G. Maxham,et al.  Modeling customer perceptions of complaint handling over time: the effects of perceived justice on satisfaction and intent , 2002 .

[15]  Mary Jo Bitner,et al.  Encounter Satisfaction versus Overall Satisfaction versus Quality: The Customer's Voice , 1994 .

[16]  David L. Mothersbaugh,et al.  Switching barriers and repurchase intentions in services , 2000 .

[17]  Ezlika M. Ghazali,et al.  Online loyalty and its interaction with switching barriers , 2014 .

[18]  Moon-Koo Kim,et al.  The effects of customer satisfaction and switching barrier on customer loyalty in Korean mobile telecommunication services , 2004 .

[19]  L. Furby Psychology and Justice , 1986 .

[20]  Jochen Wirtz,et al.  Contrasting the Drivers of Switching Intent and Switching Behavior in Contractual Service Settings , 2014 .

[21]  Sung S. Kim,et al.  Internet Users' Information Privacy-Protective Responses: A Taxonomy and a Nomological Model , 2008, MIS Q..

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

[23]  Kamel Rouibah,et al.  Factors Affecting Information Communication Technologies Usage and Satisfaction: Perspective from Instant Messaging in Kuwait , 2009, J. Glob. Inf. Manag..

[24]  Manuel J. Sánchez-Franco,et al.  WebCT - The quasimoderating effect of perceived affective quality on an extending Technology Acceptance Model , 2010, Comput. Educ..

[25]  Thomas J. Peters,et al.  The Leadership Factor@@@Leadership and Innovation@@@Making a Leadership Change@@@Thriving on Chaos, Handbook for a Management Revolution , 1989 .

[26]  Moez Limayem,et al.  User switching of information technology: A theoretical synthesis and empirical test , 2012, Inf. Manag..

[27]  A. Parasuraman,et al.  Reassessment of expectations as a comparison standard in measuring service quality: Implications , 1994 .

[28]  Long Zhang,et al.  Assessing the effects of service quality and justice on customer satisfaction and the continuance intention of mobile value-added services: An empirical test of a multidimensional model , 2012, Decis. Support Syst..

[29]  Hasan A. Abbas,et al.  A Modified Technology Acceptance Model for Camera Mobile Phone Adoption: Development and validation , 2006 .

[30]  Rajiv Shah,et al.  Innovation, Entrepreneurship, and the Economy in the US, China, and India: Historical Perspectives and Future Trends , 2014 .

[31]  Jinwoo Kim,et al.  Information Quality for Mobile Internet Services: A Theoretical Model with Empirical Validation , 2002, Electron. Mark..

[32]  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..

[33]  Zheng Zhou,et al.  Development and validation of an instrument to measure user perceived service quality of information presenting Web portals , 2005, Inf. Manag..

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

[35]  R. Yazdanifard,et al.  How Customer Perception Shape Buying Online Decision , 2014 .

[36]  Ruth N. Bolton,et al.  A Model of Customer Satisfaction with Service Encounters Involving Failure and Recovery , 1999 .

[37]  Vicki G. Morwitz,et al.  Do Intentions Really Predict Behavior? Self-Generated Validity Effects in Survey Research , 2005 .

[38]  Yuksel Ekinci,et al.  Consumer perceptions of frontline service employee personality traits, interaction quality, and consumer satisfaction , 2009 .

[39]  Mi-Jin Noh,et al.  Customer acceptance of IPTV service quality , 2011, Int. J. Inf. Manag..

[40]  J. Reades,et al.  The Global Information Technology Report 2012 , 2012 .

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

[42]  S. Bell,et al.  Customer relationship dynamics: Service quality and customer loyalty in the context of varying levels of customer expertise and switching costs , 2005 .

[43]  Fan-Yun Pai,et al.  Applying the Technology Acceptance Model to the introduction of healthcare information systems , 2011 .

[44]  Stephen S. Tax,et al.  Customer Evaluations of Service Complaint Experiences: Implications for Relationship Marketing: , 1998 .

[45]  A. Parasuraman,et al.  The Behavioral Consequences of Service Quality , 1996 .

[46]  Kamel Rouibah,et al.  Effect of Personal Innovativeness, Attachment Motivation and Social Norms on the Acceptance of Camera Mobile Phones: An Empirical Study in an Arab Country , 2011, Int. J. Handheld Comput. Res..

[47]  Szu-Yuan Sun,et al.  Understanding customers' loyalty intentions towards online shopping: an integration of technology acceptance model and fairness theory , 2009, Behav. Inf. Technol..

[48]  Ruth N. Bolton,et al.  A Multistage Model of Customers' Assessments of Service Quality and Value , 1991 .

[49]  Leonard L. Berry,et al.  Service fairness: What it is and why it matters , 1998 .

[50]  J. Chébat,et al.  How emotions mediate the effects of perceived justice on loyalty in service recovery situations: an empirical study , 2005 .

[51]  Peter A. Todd,et al.  Understanding Information Technology Usage: A Test of Competing Models , 1995, Inf. Syst. Res..

[52]  Social and Cultural Factors , 2015 .

[53]  G. Leventhal What Should Be Done with Equity Theory? New Approaches to the Study of Fairness in Social Relationships. , 1976 .

[54]  Susan M. Keaveney,et al.  Customer Switching Behavior in Service Industries: An Exploratory Study , 1995 .

[55]  H. Kaiser The varimax criterion for analytic rotation in factor analysis , 1958 .

[56]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[57]  Gi Mun Kim,et al.  A study of factors that affect user intentions toward email service switching , 2006, Inf. Manag..

[58]  J. J. Cronin,et al.  Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intentions in service environments , 2000 .

[59]  Sree Nilakanta,et al.  Implementation of Electronic Data Interchange: An Innovation Diffusion Perspective , 1994, J. Manag. Inf. Syst..

[60]  Wei-Jaw Deng,et al.  The relationships among service quality, perceived value, customer satisfaction, and post-purchase intention in mobile value-added services , 2009, Comput. Hum. Behav..

[61]  Peter A. Todd,et al.  Assessing IT usage: the role of prior experience , 1995 .

[62]  G. C. Homans,et al.  Social Behavior: Its Elementary Forms. , 1975 .

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

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

[65]  G. Hofstede,et al.  Culture′s Consequences: International Differences in Work-Related Values , 1980 .

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

[67]  Zhenzhong Ma,et al.  Service quality and customer switching behavior in China's mobile phone service sector , 2013 .

[68]  Rodney Carr,et al.  Customer repurchase intention: A general structural equation model , 2003 .

[69]  Kyung-Soo Chung,et al.  Factors Influencing on Behavior Intention for Mobile Commerce , 2008 .

[70]  Debra L. Shapiro,et al.  Interactional fairness judgments: The influence of causal accounts , 1987 .

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

[72]  Chao-Min Chiu,et al.  Examining the integrated influence of fairness and quality on learners’ satisfaction and Web‐based learning continuance intention , 2007, Inf. Syst. J..

[73]  Ing-Long Wu,et al.  International Journal of Information Management , 2022 .

[74]  J. J. Cronin,et al.  Some New Thoughts on Conceptualizing Perceived Service Quality: A Hierarchical Approach , 2001 .

[75]  M. Hossain,et al.  Customer perception on service quality in retail banking in Middle East: the case of Qatar , 2009 .

[76]  Kamel Rouibah,et al.  Factors affecting camera mobile phone adoption before e-shopping in the Arab world , 2011 .