The DOI matches its Crossref record; 98 of the 98 references it cites were found in a registry or an index.
Shackled to the Status Quo: The Inhibiting Effects of Incumbent System Habit, Switching Costs, and Inertia on New System Acceptance
Abstract
Given that adoption of a new system often implies fully or partly replacing an incumbent system, resistance is often manifested as failure of a user to switch from an incumbent technology to a newly introduced one. Thus, a potential source of resistance to adopting a new system lies in the use of an incumbent system. Using the status quo bias and habit literatures as theoretical lenses, the study explains how use of an incumbent system negatively impacts new system perceptions and usage intentions. We argue that habitual use of an incumbent system, rationalization due to perceived transition costs, and psychological commitment due to perceived sunk costs all encourage development of inertia. Inertia in turn fully mediates the impact of these incumbent system constructs on constructs related to acceptance of the new system via psychological commitment based on cognitive consistency and by increasing the importance of normative pressures. Specifically, we hypothesize that inertia leads to decreased perceptions of the ease of use and relative advantage of a newly introduced system and has a negative impact on intentions to use the new system, above and beyond its impact through perceptions. Finally, we hypothesize that inertia moderates the relationship between subjective norm and intention, such that normative pressures to use a new system become more important in the presence of inertia. Empirical results largely support the hypothesized relationships showing the inhibiting effect of incumbent-system habit, transition and sunk costs, and inertia on acceptance of a new system. Our study thus extends theoretical understanding of the role of incumbent system constructs such as habit and inertia in technology acceptance, and lays the foundations for further study of the interplay between perceptions and cognition with respect to the incumbent system and those with respect to a new system.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Compared with the decision to retain a premium subscription, the decision to upgrade represents a departure from the users' status quo”
From What drives subscribing to premium in freemium services? A consumer value‐based view of differences between upgrading to and staying with premium (2020) · cites this paper as Polites & Karahanna, 2012
In the citing paper
“While the intention to retain the premium subscription essentially means continuance of an existing behavior, the intention to upgrade from free to the premium subscription means a departure from the user's status quo (Kim & Kankanhalli, 2009;Polites & Karahanna, 2012).”
From What drives subscribing to premium in freemium services? A consumer value‐based view of differences between upgrading to and staying with premium (2020) · cites this paper as Polites & Karahanna, 2012
In the citing paper
“Moreover, inertia can be divided into two distinct measures: first, cognitive inertia and second, affective inertia (Greenfield 2005; Polites and Karahanna 2012).”
From Health insurance policy renewal: an exploration of reputation, performance, and affect to understand customer inertia (2022) · cites this paper as Polites and Karahanna 2012
Citations
Cites
The publisher hasn’t deposited this paper’s reference list.
Cited by
Sorted by citations
Kamal, S. A., Shafiq, M., & Kakria, P. (2019) · Technology in Society · doi:10.1016/j.techsoc.2019.101212 · Cited by 1,044
“It is identified in the literature that perceived risk contributes to the expectations of destructive consequences, thus, imparting a negative effect on usage intention [35,67,68].”
BackgroundMaier, C., Laumer, S., Weinert, C., & Weitzel, T. (2015) · Information Systems Journal · doi:10.1111/isj.12068 · Cited by 681
“The multidimensional stress creator constructs were conceptualized as superordinate constructs (reflective first-order and reflective second-order construct; Polites et al., 2012) and evaluated as suggested by Wright et al. (2012).”
InfluentialBesson, P., & Rowe, F. (2012) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2012.05.001 · Cited by 591
“…2000; Hackbarth et al., 2003); Performance vs. Learning goal orientation (Yi and Hwang, 2003); Status quo bias (Kim and Kankanhalli, 2009); Polites and Karahanna, 2012) Socio-cognitive inertia Norms and values at the individual, group, organization, industry and society levels Agents are…”
BackgroundConsumer Resistance to Innovation in Services: Challenges and Barriers in the Internet of Things Era
Mani, Z., & Chouk, I. (2018) · Journal of Product Innovation Management · doi:10.1111/jpim.12463 · Cited by 444
Sullivan, Y. W., & Kim, D. J. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2017.12.008 · Cited by 443
“Using this method construct allows us not only comparing the loadings of each item on its own factor and the method factor, but also calculating the amount of method bias present in the entire dataset (Podsakoff et al., 2003; Polites and Karahanna, 2012).”
MethodTarafdar, M., Maier, C., Laumer, S., & Weitzel, T. (2019) · Information Systems Journal · doi:10.1111/isj.12253 · Cited by 399
“In the IS literature, the habit of using a particular IS predisposes individuals to greater use of that IS in an automatic way, implies less effort in using it, and prevents switching to a new system (Limayem and Hirt 2003; Polites and Karahanna 2012).”
BackgroundThe value proposition of food delivery apps from the perspective of theory of consumption value
Kaur, P., Dhir, A., Talwar, S., & Ghuman, K. (2021) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-05-2020-0477 · Cited by 377
Turel, O. (2014) · European Journal of Information Systems · doi:10.1057/ejis.2014.19 · Cited by 330
“Similarly, hednic-IS use habit can weaken self-observation processes (Polites & Karahanna, 2012), that is, paying attention to the problematic behavior and its consequences, which are essential in self-regulatory attempts (Bandura, 1998), make the discontinuance act deem unattainable, and devalue…”
BackgroundSun, Y., Liu, D., Chen, S., Wu, X., Shen, X., & Zhang, X. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.06.014 · Cited by 326
“Inertia will result in lowered perceptions of the ease of use and relative advantages of an alternative system and have a negative effect on the intention to adopt it (Polites & Karahanna, 2012).”
BackgroundMethodInfluentialWang, W., Ou, W., & Chen, W.-Y. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.10.011 · Cited by 321
Chinese university students' acceptance of MOOCs: A self-determination perspective
Zhou, M. (2015) · Computers & Education · doi:10.1016/j.compedu.2015.10.012 · Cited by 318
“Recent studies have shown that subjective norms have a significant impact on intention to use technology (Polites & Karahanna, 2012; Sánchez & Hueros, 2010; Sicilia et al., 2015).”
BackgroundPrediction‐Oriented Model Selection in Partial Least Squares Path Modeling
Sharma, P. N., Galit Shmueli, A., Sarstedt, M., Danks, N. P., & Ray, S. (2018) · Decision Sciences · doi:10.1111/deci.12329 · Cited by 314
“…the unified theory of acceptance and use of technology (UTAUT) model (Venkatesh, Morris, Davis & Davis, 2003; Venkatesh, Brown, Maruping & Bala, 2008) or other models of information systems success (e.g., Polites & Karahanna, 2012; Iyengar, Sweeney & Montealegre, 2015; Park, Sharman & Rao, 2015).”
BackgroundSullivan, Y. W., & Wamba, S. F. (2024) · Journal of Business Research · doi:10.1016/j.jbusres.2024.114500 · Cited by 303
Understanding SaaS adoption from the perspective of organizational users: A tripod readiness model
Yang, Z., Sun, J., Zhang, Y., & Wang, Y. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2014.12.022 · Cited by 302
“Even when there is a fit between an organization and a SaaS solution, the adoption may still encounter strong resistance due to inhibiting factors such as incumbent system habits, switching costs or simply inertia against changes (Polites & Karahanna, 2012).”
BackgroundThe mediating effects of habit on continuance intention
Amoroso, D. L., & Lim, R. A. (2017) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2017.05.003 · Cited by 297
Building dynamic capabilities by leveraging big data analytics: The role of organizational inertia
Mikalef, P., van de Wetering, R., & Krogstie, J. (2020) · Information & Management · doi:10.1016/j.im.2020.103412 · Cited by 297
“Psychology Resistance to change due to overwhelming negative emotions caused by threat perception Individual [9,34]”
BackgroundWearable technology: What explains continuance intention in smartwatches?
Nascimento, B., Oliveira, T., & Tam, C. (2018) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2018.03.017 · Cited by 294
Park, S. C., & Ryoo, S. Y. (2012) · Computers in Human Behavior · doi:10.1016/j.chb.2012.07.032 · Cited by 284
Dinev, T., McConnell, A. R., & Smith, H. J. (2015) · Information Systems Research · doi:10.1287/isre.2015.0600 · Cited by 277
Continuance intention of online technologies: A systematic literature review
Yan, M., Filieri, R., & Gorton, M. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2021.102315 · Cited by 276
Nastjuk, I., Trang, S. T.-N., Grummeck-Braamt, J.-V., Adam, M. T. P., & Tarafdar, M. (2023) · European Journal of Information Systems · doi:10.1080/0960085x.2022.2154712 · Cited by 267
“Two types of switching costs have been discussed in the IS literature: sunk costs and transition costs (Kim & Kankanhalli, 2009; Polites & Karahanna, 2012; Maier, Laumer, Weinert, et al., 2015).”
BackgroundTsai, J.-M., Cheng, M.-J., Tsai, H.-H., Hung, S.-W., & Chen, Y.-L. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.03.003 · Cited by 257
Tortoise, not the hare: Digital transformation of supply chain business processes
Hartley, J. L., & Sawaya, W. J. (2019) · Business Horizons · doi:10.1016/j.bushor.2019.07.006 · Cited by 256
Laumer, S., Maier, C., & Weitzel, T. (2017) · European Journal of Information Systems · doi:10.1057/s41303-016-0029-7 · Cited by 255
Easy come or easy go? Empirical evidence on switching behaviors in mobile payment applications
Wang, L., Luo, X. R., Yang, X., & Qiao, Z. (2019) · Information & Management · doi:10.1016/j.im.2019.02.005 · Cited by 239
Technostress and the hierarchical levels of personality: a two-wave study with multiple data samples
Maier, C., Laumer, S., Wirth, J., & Weitzel, T. (2019) · European Journal of Information Systems · doi:10.1080/0960085x.2019.1614739 · Cited by 235
“The mean value of PIIT di ff ers in both samples, but this is also seen in the previous IS research (Agarwal and Prasad 1998; Polites & Karahanna, 2012).”
BackgroundResultInfluentialChen, H., Chen, H., & Tian, X. (2022) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2022.101150 · Cited by 230
Switching from cash to mobile payment: what's the hold-up?
Loh, X.-M., Lee, V., Tan, G. W., Ooi, K., & Dwivedi, Y. K. (2020) · Internet Research · doi:10.1108/intr-04-2020-0175 · Cited by 225
Toward the human – Centered approach. A revised model of individual acceptance of AI
Giudice, M. D., Scuotto, V., Orlando, B., & Mustilli, M. (2021) · Human Resource Management Review · doi:10.1016/j.hrmr.2021.100856 · Cited by 221
Soror, A. A., Hammer, B. I., Steelman, Z. R., Davis, F. D., & Limayem, M. (2015) · Information Systems Journal · doi:10.1111/isj.12065 · Cited by 220
“…the rational decision-making perspective dominating the information systems (IS) literature (Limayem et al ., 2007; Ortiz de Guinea & Markus, 2009; Polites & Karahanna, 2012) by focusing more on the re fl exive system, rather than the more traditional re fl ective system introduced in the…”
BackgroundCarter, L. D., Weerakkody, V., Phillips, B., & Dwivedi, Y. K. (2016) · Information Systems Management · doi:10.1080/10580530.2016.1155948 · Cited by 220
“…Crant, 2008; Dickinger, Arami, & Meyer, 2008; Gefen et al., 2003; Herath et al., 2014; Irani et al., 2009; Lu, Deng, & Wang, 2010; Pai & Huang, 2011; Polites & Karahanna, 2012; Shareef, Kumar, Kumar, & Dwivedi, 2011; Sila, 2010; Sipior et al., 2011; Strader, Ramaswami, & Houle, 2007; Sykes,…”
A paradoxical perspective on technology renewal in digital transformation
Wimelius, H., Mathiassen, L., Holmström, J., & Keil, M. (2020) · Information Systems Journal · doi:10.1111/isj.12307 · Cited by 219
“…how foundational legacy technologies contribute to deeply ingrained structures (Fichman & Kemerer, 1997) and processes that are difficult to change (Polites & Karahanna, 2012; Robey et al., 2002; Wessel et al., 2020), even in the face of strategic attempts to use new technology to shift…”
BackgroundInfluentialBalakrishnan, J., Dwivedi, Y. K., Hughes, L., & Boy, F. (2021) · Information Systems Frontiers · doi:10.1007/s10796-021-10203-y · Cited by 215
“The variables—inertia and switching costs have received more attention in the literature than the remaining variables within IS research (Lucia-Palacios et al., 2016; Polites & Karahanna, 2012).”
Seth, H., Talwar, S., Bhatia, A., Saxena, A., & Dhir, A. (2020) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2020.102071 · Cited by 213
McKnight, D. H., Lankton, N. K., Nicolaou, A. I., & Price, J. B. (2017) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2017.01.001 · Cited by 207
Moradi, E., Jafari, S. M., Doorbash, Z. M., & Mirzaei, A. (2021) · Asia Pacific Management Review · doi:10.1016/j.apmrv.2021.01.003 · Cited by 204
Regulatory focus and technology acceptance: Perceived ease of use and usefulness as efficacy
He, Y., Chen, Q., & Kitkuakul, S. (2018) · Cogent Business & Management · doi:10.1080/23311975.2018.1459006 · Cited by 201
“…the construct of self-efficacy has long been associated with perceived ease of use in the IS adoption literature (Pavlou & Fygenson, 2006; Polites & Karahanna 2012); and psychology research has intimated that the perceived usefulness belief is associated with the response efficacy…”
BackgroundExamining the beneficial effects of individual's self-disclosure on the social network site
Huang, H. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.12.030 · Cited by 200
Why end-users move to the cloud: a migration-theoretic analysis
Bhattacherjee, A., & Park, S. C. (2013) · European Journal of Information Systems · doi:10.1057/ejis.2013.1 · Cited by 189
A Daily Field Investigation of Technology-Driven Spillovers from Work to Home
Benlian, A. (2020) · MIS Quarterly · doi:10.25300/misq/2020/14911 · Cited by 179
Montréal, H., Tams, S., Hill, K. M., Montréal, H., de Guinea, A. O., Montréal, H., Thatcher, J. B., & Grover, V. (2014) · Journal of the Association for Information Systems · doi:10.17705/1jais.00374 · Cited by 179
“We conducted our experiment using student subjects since using students reduced the number of confounding variables and increased the internal validity of our results (Appan & Browne, 2012; Polites & Karahanna, 2012).”
MethodKamoonpuri, S. Z., & Sengar, A. (2023) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2023.103258 · Cited by 176
Maier, C., Laumer, S., Eckhardt, A., & Weitzel, T. (2012) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2012.09.001 · Cited by 175
Polites, G. L., & Karahanna, E. (2013) · MIS Quarterly · doi:10.25300/misq/2013/37.1.10 · Cited by 174
“Given that new systems are often introduced to only partially replace incumbent systems, IS researchers have also begun to investigate how incumbent system habits may inhibit adoption and use of new systems (Polites and Karahanna 2012).”
Self-citationRzepka, C. H., Berger, B., & Heß, T. (2021) · Information Systems Frontiers · doi:10.1007/s10796-021-10226-5 · Cited by 173
“To recruit students, we advertised the laboratory experiment via student mailing lists and on site at a large public university, as is frequently done in related studies (e.g., Polites and Karahanna (2012)).”
MethodPan, Z., Lu, Y., Wang, B., & Chau, P. Y. K. (2017) · Journal of Management Information Systems · doi:10.1080/07421222.2017.1296747 · Cited by 172
“To better understand the relationships between social self-identity and reinforced use and varied use, we identify members’ inertia, one of the most relevant individual factors for understanding IS use [90], as a plausible moderator.”
BackgroundMethodInfluentialMäntymäki, M., Islam, A. K. M. N., & Benbasat, I. (2020) · Information Systems Journal · doi:10.1111/isj.12262 · Cited by 171
“While the intention to retain the premium subscription essentially means continuance of an existing behavior, the intention to upgrade from free to the premium subscription means a departure from the user's status quo (Kim & Kankanhalli, 2009; Polites & Karahanna, 2012).”
BackgroundLin, C., Jin, Y. Q., Zhao, Q., Yu, S.-W., & Su, Y.-S. (2021) · The Asia-Pacific Education Researcher · doi:10.1007/s40299-021-00570-0 · Cited by 171
Gbongli, K., Xu, Y., & Amedjonekou, K. M. (2019) · Sustainability · doi:10.3390/su11133639 · Cited by 166
“Notably, the construct of SEMM has long been associated with perceived ease-of-use in the IS adoption literature [154].”
BackgroundOnline purchase determinants of loyalty: The mediating effect of satisfaction in tourism
Pereira, H. G., Salgueiro, M. D. F., & Rita, P. (2016) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2016.01.003 · Cited by 165
“To summarize, there is large evidence suggesting that inertia plays a very important role in consumer choice and satisfaction (Polites and Karahanna, 2012).”
BackgroundGong, Z., Han, Z., Li, X., Yu, C., & Reinhardt, J. D. (2019) · Frontiers in Public Health · doi:10.3389/fpubh.2019.00286 · Cited by 164
“Habit is considered as an automatic behavioral process, which makes individuals do not evaluate the benefit and cost of their ongoing behavior (68).”
BackgroundA dual-factor model of loyalty to IT product – The case of smartphones
Lin, T., Huang, S., & Hsu, C.-J. (2015) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2015.01.001 · Cited by 161
Wu, K., Vassileva, J., & Zhao, Y. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.11.039 · Cited by 157
Inertia in Routines: A Hidden Source of Organizational Variation
Yi, S., Knudsen, T., & Becker, M. C. (2016) · Organization Science · doi:10.1287/orsc.2016.1059 · Cited by 157
Liu, W., Wang, D., Shen, X., Yan, X., & Wei, W. (2018) · Transportation Research Part E Logistics and Transportation Review · doi:10.1016/j.tre.2018.05.006 · Cited by 153
Turel, O., & Bechara, A. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.00601 · Cited by 153
Kumar, J. A., Bervell, B., Annamalai, N., & Osman, S. B. (2020) · IEEE Access · doi:10.1109/access.2020.3037925 · Cited by 153
“Habit has been found to inhibits the behavior of adopting new mobile applications [61].”
BackgroundBusiness model innovation and organizational resilience: towards an integrated conceptual framework
Buliga, O., Scheiner, C. W., & Voigt, K. (2015) · Journal of Business Economics · doi:10.1007/s11573-015-0796-y · Cited by 152
“…a notable difference between inertia and the mere continuation of the established business activities, due to organizational robustness: inert organizations prefer the established course of action, regardless of better alternatives or of existing incentives for change (Polites and Karahanna 2012).”
BackgroundUnderstanding online community citizenship behaviors through social support and social identity
Chiu, C., Huang, H., Cheng, H., & Sun, P. (2015) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2015.04.009 · Cited by 148
Fox, G., Clohessy, T., van der Werff, L., Rosati, P., & Lynn, T. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.106806 · Cited by 147
“This has resulted in a shift in focus towards understanding individuals ’ behaviors after the initial adoption of a new technology, often with an emphasis on understanding why individuals discontinue use (Polites & Karahanna, 2012; Recker, 2016).”
BackgroundContinuance of protective security behavior: A longitudinal study
Warkentin, M. E., Johnston, A. C., Shropshire, J., & Barnett, W. D. (2016) · Decision Support Systems · doi:10.1016/j.dss.2016.09.013 · Cited by 143
Choosing a Fit Technology: Understanding Mindfulness in Technology Adoption and Continuance
Sun, H., Fang, Y., & Zou, H. (2016) · Journal of the Association for Information Systems · doi:10.17705/1jais.00431 · Cited by 143
“…Issue 6 Also, individuals often find it hard to abandon a technology at the post-adoptive stage because of factors such as inertia and sunk costs (Polites & Karahanna, 2012), but mindfully abandoning a technology prevents further sunk costs and helps the user reap benefits from a better…”
BackgroundYe, T., Xue, J., He, M., Gu, J., Lin, H., Xu, B., & Cheng, Y. (2019) · Journal of Medical Internet Research · doi:10.2196/14316 · Cited by 141
“The 2 main inhibitors are regret avoidance (lessons from experiences that have taught individuals to avoid regrettable consequences) and inertia (an individual’s attachment to his or her current situation even if there are better alternatives or incentives to change) [51,55].”
Hsieh, P.-J. (2015) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2015.03.004 · Cited by 140
Understanding the role of user resistance on mobile learning usage among university students
Kim, H., Lee, J.-M., & Rha, J. (2017) · Computers & Education · doi:10.1016/j.compedu.2017.05.015 · Cited by 140
Prakash, A. V., & Das, S. (2021) · Information & Management · doi:10.1016/j.im.2021.103524 · Cited by 138
Gong, X., Zhang, K. Z. K., Cheung, C. M. K., Chen, C., & Lee, M. (2019) · Information & Management · doi:10.1016/j.im.2019.01.001 · Cited by 137
de Guinea, A. O., Titah, R., & Léger, P. (2014) · Journal of Management Information Systems · doi:10.2753/mis0742-1222300407 · Cited by 132
“to get a deeper understanding of the interactions between D and E and between ML and F, we conducted a partial derivative analysis [91, 120] as shown in tables 3 and 4.”
MethodSantosa, A. D., Taufik, N., Prabowo, F. H. E., & Rahmawati, M. (2021) · Journal of Financial Services Marketing · doi:10.1057/s41264-021-00104-1 · Cited by 132
Laumer, S., Maier, C., Eckhardt, A., & Weitzel, T. (2015) · Journal of Information Technology · doi:10.1057/jit.2015.17 · Cited by 131
“Whereas ease of use and usefulness are based on the characteristics of a speci fi c IS, resistance to change is a perception of the change induced by the implementation of a new IS (Oreg, 2006; Polites and Karahanna, 2012).”
BackgroundMethodResultInfluentialMahmud, I., Ramayah, T., & Kurnia, S. (2017) · Information Systems · doi:10.1016/j.is.2017.05.005 · Cited by 131
Embracing diversity through mixed methods research
Ågerfalk, P. J. (2013) · European Journal of Information Systems · doi:10.1057/ejis.2013.6 · Cited by 131
Exploring the inhibitors of online health service use intention: A status quo bias perspective
Zhang, X., Guo, X., Wu, Y., Lai, K.-H., & Vogel, D. (2017) · Information & Management · doi:10.1016/j.im.2017.02.001 · Cited by 126
Mobile marketing technology adoption in service SMEs: a multi-perspective framework
Eze, S. C., Chinedu-Eze, V. C., Bello, A. O., Inegbedion, H., Nwanji, T. I., & Asamu, F. (2019) · Journal of Science and Technology Policy Management · doi:10.1108/jstpm-11-2018-0105 · Cited by 125
“Similarly, studies (Hong et al., 2011; Polites and Karahanna, 2012) note that ease of use is the prerequisite for adoption and use of IT application while others (Moore and Benbasat, 1991; Venkatesh and Davis, 1996) have also found a positive relationship between ease of use and adoption of IT…”
BackgroundHsieh, P.-J. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.06.029 · Cited by 120
Toward a refined conceptualization of IS discontinuance: Reflection on the past and a way forward
Soliman, W., & Rinta-Kahila, T. (2019) · Information & Management · doi:10.1016/j.im.2019.05.002 · Cited by 119
Tams, S., Thatcher, J. B., & Craig, K. (2017) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2017.07.004 · Cited by 118
Raddatz, N. I., Coyne, J. G., Menard, P., & Crossler, R. E. (2021) · European Journal of Information Systems · doi:10.1080/0960085x.2021.1944823 · Cited by 117
“…al., 2007), user resistance before new system implementation (Hirschheim & Newman, 1988; Kim & Kankanhalli, 2009), user acceptance of a new system (Polites & Karahanna, 2012), user resistance to information security policy changes (Malimage et al., 2019) and individual decisions and behaviours…”
BackgroundMethodInfluentialUnderstanding compulsive smartphone use: An empirical test of a flow-based model
Chen, C., Zhang, K. Z. K., Gong, X., Zhao, S. J., Lee, M., & Liang, L. (2017) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2017.04.009 · Cited by 115
“Then, we used the scores as the formative items of the two constructs (Polites & Karahanna, 2012).”
MethodDeveloping and validating a technology upgrade model
Wang, Y.-Y., Wang, Y.-S., & Lin, T. (2017) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2017.07.003 · Cited by 112
“Previous research has proposed that procedural switching costs and bene fi t loss costs are causes of user resistance and demand reduction (Kim & Kankanhalli, 2009; Perera & Kim, 2007; Polites & Karahanna, 2012; Samuelson & Zeckhauser, 1988; Yanamandram & White,2010).”
BackgroundMethodResultInfluentialTransition from web to mobile payment services: The triple effects of status quo inertia
Gong, X., Zhang, K. Z. K., Chen, C., Cheung, C. M. K., & Lee, M. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.08.006 · Cited by 111
Kumar, V., Nim, N., & Agarwal, A. (2020) · Journal of International Business Studies · doi:10.1057/s41267-020-00346-6 · Cited by 110
Antecedents of smartphone brand switching: a push–pull–mooring framework
Liao, J., Li, M., Wei, H., & Tong, Z. (2021) · Asia Pacific Journal of Marketing and Logistics · doi:10.1108/apjml-06-2020-0397 · Cited by 110
Planned Risk Information Avoidance: A Proposed Theoretical Model
Deline, M. B., & Kahlor, L. A. (2019) · Communication Theory · doi:10.1093/ct/qty035 · Cited by 109
Dwivedi, Y. K., Balakrishnan, J., Das, R., & Dutot, V. (2023) · Journal of Business Research · doi:10.1016/j.jbusres.2022.113632 · Cited by 109
User Migration in Online Social Networks: A Case Study on Reddit During a Period of Community Unrest
Newell, E., Jurgens, D., Saleem, H. M., Vala, H., Sassine, J., Armstrong, C., & Ruths, D. A. (2021) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v10i1.14750 · Cited by 108
“Polites and Karahanna (2012) survey users to investigate the interaction between habit, inertia, and switching costs in user switching intention between group collaboration systems.”
BackgroundHabits and the electronic herd: the psychology behind social media’s successes and failures
Anderson, I. A., & Wood, W. (2021) · Consumer Psychology Review · doi:10.1002/arcp.1063 · Cited by 108
Sharing Economy: Review of Current Research and Future Directions
Narasimhan, C., Papatla, P., Jiang, B., Kopalle, P. K., Messinger, P. R., Moorthy, S., Proserpio, D., Subramanian, U., Wu, C., & Zhu, T. (2017) · Customer Needs and Solutions · doi:10.1007/s40547-017-0079-6 · Cited by 108
Gong, X., Zhang, K. Z. K., Chen, C., Cheung, C. M. K., & Lee, M. (2019) · Information & Management · doi:10.1016/j.im.2019.103250 · Cited by 106
Do perceived risks and benefits impact trust and willingness to adopt CBDCs?
Gupta, S., Pandey, D. K., Ammari, A. E., & Sahu, G. P. (2023) · Research in International Business and Finance · doi:10.1016/j.ribaf.2023.101993 · Cited by 105
Conway, M., Salon, D., da Silva, D. C., & Mirtich, L. (2020) · Urban Science · doi:10.3390/urbansci4040050 · Cited by 103
Seo, D., & Ray, S. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.05.018 · Cited by 103
Nonadopters of Online Social Network Services: Is It Easy to Have Fun Yet?
Hu, T. “., Poston, R. S., & Kettinger, W. J. (2011) · Communications of the Association for Information Systems · doi:10.17705/1cais.02925 · Cited by 102
“To address both the attributes of the technology and the attributes of the usage environment that may cause nonadopters to overcome the stalls in accepting and using new technology [Polites and Karahanna, 2011; Ram and Sheth, 1989], we propose a modified version of TAM.”
BackgroundMethodInfluentialHow to measure the status quo bias? A review of current literature
Godefroid, M.-E., Plattfaut, R., & Niehaves, B. (2023) · Management Review Quarterly · doi:10.1007/s11301-022-00283-8 · Cited by 101
“For example, inertia can negatively influence the intention to use a new system (Polites and Karahanna 2012).”
BackgroundUnderstanding the Determinants of Consumers' Switching Intentions in a Standards War
Lin, T., & Huang, S. (2014) · International Journal of Electronic Commerce · doi:10.2753/jec1086-4415190105 · Cited by 101
“3‐item scale adapted from Fishbein and Ajzen [20] and Polites and Karahanna [53].”
BackgroundMethodInfluentialChatterjee, S., Chaudhuri, R., Vrontis, D., & Piccolo, R. (2021) · Journal of International Management · doi:10.1016/j.intman.2021.100827 · Cited by 101
Li, J., Liu, M., & Liu, X. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.08.028 · Cited by 101
Laumer, S., Maier, C., Eckhardt, A., & Weitzel, T. (2016) · European Journal of Information Systems · doi:10.1057/ejis.2016.1 · Cited by 100
“Consequently, we also assume following Polites & Karahanna (2012) and Laumer et al (2015) that: C6 – 10 : The higher an employee ’ s dispositional resistance to change, the higher his or her perceptual resistance to change and the more negative his or her perception of the technology, work routines…”
BackgroundMethodInfluentialWhy do people switch mobile payment service platforms? An empirical study in Taiwan
Kuo, R.-Z. (2020) · Technology in Society · doi:10.1016/j.techsoc.2020.101312 · Cited by 99
Venkatesh, V., Davis, F. D., & Zhu, Y. (2023) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2023.102644 · Cited by 99
Metadata
- Authors
- Polites, G. L., & Karahanna, E.
- Affiliations
- Bucknell University (US)
- University of Georgia (US)
- Venue
- MIS Quarterly
- Publisher
- MIS Quarterly
- Published
- 2012-03-01
- Volume
- 36
- Issue
- 1
- Pages
- 21-42
- ISSN
- 0276-7783 (ISSN-L)
- 2162-9730
- OpenAlex
- W4401611614
- Cited by
- 215
- References
- 0
- Citations by year
- 2026: 27 · 2025: 56 · 2024: 27 · 2023: 26 · 2022: 11 · 2021: 16 · 2020: 9 · 2019: 12 · 2018: 10 · 2017: 8 · 2016: 3 · 2015: 3 · 2013: 4 · 2012: 1
- FWCI
- 5.21
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- MIS Quarterly (publishedVersion)
- Journal of the Association for Information Systems (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Business, Management and Accounting › Management Information Systems › Information Systems Theories and Implementation
- Social Sciences › Business, Management and Accounting › Management Information Systems › ERP Systems Implementation and Impact
- Keywords
- technology adoption, status quo bias, habit, inertia, switching costs, sunk costs, resistance to change, technology acceptance, perceived ease of use, relative advantage, intention to use, subjective norms, normative pressure, cognitive consistency, psychological commitment
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review