Abstract
This study presents a unified model of information technology (IT) continuance, by drawing upon three alternative influences that are presumed to shape continuance behavior: reasoned action, experiential response, and habitual response. Using a longitudinal survey of workplace IT continuance among insurance agents at a large insurance company in Taiwan, we demonstrate that the above influences are interdependent, complementary, and have crossover effects. This study advances IT continuance research by theorizing and validating a unifying model that extends prior perspectives and by explaining interrelationships between these perspectives.
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References
Agarwal R and Karahanna E (2000) Time flies when you’re having fun: cognitive absorption and beliefs about information technology usage. MIS Quarterly 24 (4), 665–694.
Ajzen I (1991) The theory of planned behavior. Organizational Behavior & Human Decision Processes 50 (2), 179–211.
Anderson JC and Gerbing DW (1988) Structural equation modeling in practice: a review and recommended two-step approach. Psychological Bulletin 103 (3), 411–423.
Bhattacherjee A (2001) Understanding information systems continuance: an expectation-confirmation model. MIS Quarterly 25 (3), 351–370.
Bhattacherjee A and Premkumar G (2004) Understanding changes in belief and attitude towards information technology usage: a theoretical model and longitudinal test. MIS Quarterly 28 (2), 229–254.
Davis FD (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly 13 (3), 319–339.
Doong H-S and Lai H (2008) Exploring usage continuance of e-negotiation systems: expectation and disconfirmation approach. Group Decision & Negotiation 17 (2), 111–126.
Fishbein M and Ajzen I (1975) Belief Attitude, Intention and Behavior. Addison-Wesley, Reading, MA.
Fornell C and Larcker DF (1981) Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research 18 (1), 39–50.
Gefen D (2003) TAM or just plain habit: a look at experienced online shoppers. Journal of End User Computing 15 (3), 1–13.
Jasperson JS, Carter PE and Zmud RW (2005) A comprehensive conceptualization of post-adoptive behaviors associated with information technology enabled work systems. MIS Quarterly 29 (3), 525–557.
Karahanna E, Straub DW and Chervany NL (1999) Information technology adoption across time: a cross-sectional comparison of pre-adoption and post-adoption belief. MIS Quarterly 23 (2), 183–213.
Keil M, Mann J and Rai A (2000) Why software projects escalate: an empirical analysis and test of four theoretical models. MIS Quarterly 24 (4), 631–664.
Kim SS and Malhotra NK (2005) A longitudinal model of continued IS use: an integrative view of four mechanisms underlying postadoption phenomena. Management Science 51 (5), 741–755.
Limayem M and Hirt SG (2003) Force of habit and information systems usage: theory and initial validation. Journal of the Association for Information Systems 4 (1), 65–97.
Limayem M, Hirt SG and Cheung CMK (2007) How habit limits the predictive power of intention: the case of information systems continuance. MIS Quarterly 31 (4), 705–737.
Lin CP and Bhattacherjee A (2008) Elucidating individual intention to use interactive information technologies. The role of network externalities. International Journal of Electronic Commerce 13 (1), 85–108.
Lin CP and Bhattacherjee A (2009) Understanding online social support and its antecedents: a socio-cognitive model. Social Science Journal 46 (4), 724–737.
Ortiz de Guinea A and Markus ML (2009) Why break the habit of a lifetime? Rethinking the roles of intention, habit, and emotion in continuing information technology use. MIS Quarterly 33 (3), 433–444.
Ouellette JA and Wood W (1998) Habit and intention in everyday life: the multiple processes by which past behavior predicts future behavior. Psychological Bulletin 124 (1), 54–74.
Poole MS and Van de Ven AH (1989) Using paradox to build management and organization theories. The Academy of Management Review 14 (4), 562–578.
Scheier MF and Carver CS (1982) Cognition, affect, and self-regulation. In Affect and Cognition (Clark MS and Fiske ST, Eds.), pp 157–183, Erlbaum, Hillsdale, NJ.
Schilling MA (2002) Technology success and failure in winner-take-all markets: the impact of learning orientation, timing, and network externalities. Academy of Management Journal 45 (2), 387–398.
Sheppard BH, Hartwick J and Warshaw P (1988) The theory of reasoned action: a meta-analysis of past research with recommendations for modifications and future research. Journal of Consumer Research 15 (3), 325–343.
Svejvig P. and Pries-Heje J. (2011) Enterprise systems outsourcing ‘behind the curtain’: a case study showing how rational and institutional explanations coexist and complement each other. International Journal of Enterprise Information Systems 7 (1), 1–17.
Teng J, Grover V and Güttler W (2002) Information technology innovations: general diffusion patterns and its relationships to innovation characteristics. Transactions on Engineering Management 49 (1), 13–27.
Venkatesh V and Morris MG (2000) Why don’t men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. MIS Quarterly 24 (1), 115–139.
Venkatesh V, Morris M, Davis GB and Davis FD (2003) User acceptance of information technology: toward a unified view. MIS Quarterly 26 (4), 425–478.
Verplanken V (2006) Beyond frequency: habit as mental construct. British Journal of Social Psychology 45 (3), 639–656.
Wood W, Quinn JM and Kashy DA (2002) Habits in everyday life: thought, emotion, and action. Journal of Personality and Social Psychology 83 (6), 1281–1297.
Yi Y (1990) A critical review of consumer satisfaction. In Review of Marketing (Zeithmal VA, Ed.), pp 68–123, American Marketing Association, Chicago.
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Appendix A
Appendix A
Measurement items
Continuance behavior (Source: Limayem et al, 2007; Lin & Bhattacherjee, 2008)
CB1. What percentage of your clients do you serve using the system?
CB2. What percentage of your working hours do you spend on using the IS?
CB3. What percentage of your workload do you deal with using the IS?
(Anchored with 1: Under 10%; 2: 10–19%; 3: 20–29%; 4: 30–39%; 5: 40–49%; 6: 50–59%; 7: 60–69%; 8: 70–79%; 9: 80–89%; 10: more than 90%)
CI (Source: Bhattacherjee, 2001)
CI1. I intend to continue using the IS rather than discontinue its use.
CI2. My intentions are to continue using the IS rather than manual processing or other alternative means.
CI3. I plan to continue using the IS in my job.
Subjective norm (Source: Venkatesh & Morris, 2000)
SN1. People who influence my behavior (e.g., coworkers, supervisors, clients) think that I should use the IS.
SN2. People who are important to me (e.g., coworkers, supervisors, clients) think that I should use the IS.
SN3. People who influence my behavior (e.g., coworkers, supervisors, clients) would welcome my use of the IS in my work.
Perceived usefulness (Source: Davis, 1989)
PE1. Using the IS improves my performance.
PE2. Using the IS increases my productivity.
PE3. Using the IS enhances my effectiveness.
PE4. I find the IS to be useful for my work.
Satisfaction (Source: Bhattacherjee, 2001)
How do you feel about your overall experience of IS usage:
SA1. Very dissatisfied/very satisfied
SA2. Very displeased/very pleased
SA3. Very frustrated/very contented
SA4. Absolutely terrible/absolutely delighted
Disconfirmation (Source: Bhattacherjee & Premkumar, 2004)
Comparing my initial expectations about the IS with my actual usage experience, I found that …
DI1: The IS improved my sales performance better than I initially expected.
DI2: The IS increased my personal productivity better than I initially expected.
DI3: The IS enhanced my job effectiveness better than I initially expected.
DI4: The IS was more helpful for my job than I initially expected.
Habit (Source: Limayem et al, 2007)
HA1: Using the IS has become automatic to me.
HA2: Using the IS comes naturally to me.
HA3: When faced with a particular task, using the IS is an obvious choice for me.
HA4: I have a habit of using the IS.
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Bhattacherjee, A., Lin, CP. A unified model of IT continuance: three complementary perspectives and crossover effects. Eur J Inf Syst 24, 364–373 (2015). https://doi.org/10.1057/ejis.2013.36
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DOI: https://doi.org/10.1057/ejis.2013.36