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
Items 501–600 of 896
Godefroid, M., Gan, Y., Hüls, G., Plattfaut, R., & Niehaves, B. (2024) · Journal of Decision System · doi:10.1080/12460125.2024.2410515 · Cited by 5
Is the metaverse failing? An exploratory study of self-employed artists and their resistance to NFTs
O’Connor, Y., & Reilly, K. O. (2025) · Computers in Human Behavior · doi:10.1016/j.chb.2025.108701 · Cited by 5
Inhibitors and Enablers of Peer-To-Peer Mobile Payment Usage Intention
Nguyen, T., Thu, N. T. H., & Ha, Q.-A. (2025) · Journal of Computer Information Systems · doi:10.1080/08874417.2024.2445013 · Cited by 5
Verma, B., & Chawla, U. (2025) · Information Discovery and Delivery · doi:10.1108/idd-10-2024-0160 · Cited by 5
Reducing meat consumption through default nudging: a field study
Ardesch, T. F., Klaperski, S., Nijssen, S. R. R., & Müller, B. C. N. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1439641 · Cited by 5
Impact of universal healthcare on patient choice and quality of care
Diwas Singh, K. C., & Kim, T. T. (2022) · Production and Operations Management · doi:10.1111/poms.13671 · Cited by 5
Stryja, C., Dorner, V., & Riefle, L. (2017) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2017.069 · Cited by 5
“There are a number of possible reasons why individuals exhibit status quo bias [19].”
BackgroundEvliliğin Toplumsal Boyutu ve Homogami Evlilik
IŞIK, E. (2023) · Özgür Yayınları eBooks · doi:10.58830/ozgur.pub309.c1418 · Cited by 5
Lamei, P., Darani, M. M., Wiggins, J., & Mahar, C. M. (2024) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2024.104138 · Cited by 5
Data Donations for Digital Contact Tracing: Short- and Long-Term Effects of Monetary Incentives
Fast, V., & Schnurr, D. (2025) · Information Systems Research · doi:10.1287/isre.2021.0575 · Cited by 5
(2021) · Issues in Information Systems · doi:10.48009/1_iis_2021_124-135 · Cited by 5
Behavioral impulsion, habituation, or regulation? A tripartite model of hedonic technology addiction
Gong, X. (2025) · Internet Research · doi:10.1108/intr-06-2024-0920 · Cited by 5
Exploring the Role of Enterprise Architecture in IS-enabled Ot: An EA Principles Perspective
Lumor, T., Chew, E. K., & Gill, A. Q. (2016) · IEEE International Enterprise Distributed Object Computing Conference Workshops (EDOCW) · doi:10.1109/edocw.2016.7584360 · Cited by 5
“Participation may also promote extent of relevance ascribed to design artifacts [53]–[55] and could, perhaps, lower socio-cognitive inertia [11], [21], [25], [24].”
BackgroundInfluentialWall, F. (2019) · Complexity · doi:10.1155/2019/4398620 · Cited by 5
Minh, D. T., Ly, P. T. T., & Duyen, N. T. N. (2022) · VNU JOURNAL OF ECONOMICS AND BUSINESS · doi:10.57110/vnujeb.v2i6.133 · Cited by 5
The battle against screen time: a systematic review of hedonic information systems use reduction
Nascimento, P., Oliveira, T., & Neves, J. (2024) · Internet Research · doi:10.1108/intr-10-2023-0857 · Cited by 5
Koh, L. Y., & Yuen, K. F. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2464891 · Cited by 5
“Thus, they will not reconsider them unless a change in context creates a strong emotional urge to do so; otherwise, they will just keep acting in the same way and continue to use existing delivery modes instead of the ARDS (Polites & Karahanna, 2012).”
Study on the Use of SNS(Social Network Service) for Tasks :Focus on the Task-Media Fit
Park, K.-J., Park, S., & Jang, H. (2014) · Journal of Digital Convergence · doi:10.14400/jdc.2014.12.2.577 · Cited by 5
“그 중 주관적 규범이 많이 연구되었으며[37], 혁신 이론에서는 이미지, 가시성이 포함되어 연구되었다[38].”
Danckwerts, S., Lischka, H. M., & Kenning, P. H. (2018) · Springer eBooks · doi:10.1007/978-3-658-22424-0_11 · Cited by 5
User Motivation in Application Abandonment: A Four-Drives Model
Furneaux, B., & Rieser, L. (2022) · International Journal of Electronic Commerce · doi:10.1080/10864415.2021.2010005 · Cited by 5
“This initial trial period thus represents a period that is quite different from the more routine, habitual nature of ongoing application use [67].”
BackgroundBurrell, D. N., & Nobles, C. (2022) · International Journal of Human Capital and Information Technology Professionals · doi:10.4018/ijhcitp.300324 · Cited by 5
“A social science context considers that people display a bias towards preferring existing habits and processes over the choice to engage in new ones (Polites & Karahanna, 2012).”
BackgroundMoojen, R., Gillebaart, M., & de Ridder, D. T. D. (2023) · Social Influence · doi:10.1080/15534510.2023.2251643 · Cited by 5
“Complacency – Due to the lack of a behavioral complacency scale, we constructed a new scale and based it on the Inertia scale by Polites and Karahanna (2012).”
MethodA default nudge in waste management: assessing the impact of explicit consent for unaddressed mail
Endendijk, T., & Botzen, W. J. W. (2023) · Journal of Environmental Economics and Policy · doi:10.1080/21606544.2023.2166129 · Cited by 5
“The nudge seeks to overcome the status quo bias (Schirrmacher et al. 2019), which means that individuals tend to value existing options, patterns or behaviour more than the alternatives that are known to be more preferable than the existing option (Polites and Karahanna 2012).”
BackgroundLecturer resistance during ICTs implementation in higher education in Zimbabwe
Sakala, L. C., & Chigona, W. (2017) · South African Institute of Computer Scientists and Information Technologists · doi:10.1145/3129416.3129449 · Cited by 5
“Examples of perceived threats are: fear of loss of status or power, stress [25], transition costs [36] and perceived workloads [15], among others.”
BackgroundDecoding mobile payment application switching: insights from the Push-Pull-Mooring framework
Motwani, K., Choubey, S., Saxena, A., Mehta, M., & Patni, I. (2025) · China Finance Review International · doi:10.1108/cfri-04-2025-0223 · Cited by 5
Strategic Drivers of Core Expansion on Software Platforms: Evidence from Apple iOS
Halckenhaeusser, A., Foerderer, J., Heinzl, A., & Henfridsson, O. (2025) · Information Systems Research · doi:10.1287/isre.2023.0347 · Cited by 5
“Users prefer known workflows, even when alternatives exist (e.g., Polites and Karahanna 2012).”
Exploring the Behavioral Intentions to Use AI-Based Chatbots for Apparel Shopping
Myin, M. T. A., & Watchravesringkan, K. (2025) · doi:10.31274/itaa.18723 · Cited by 5
How to Influence Users’ Willingness to Explore the Use of Sports and Fitness Apps in China
Suo, L. (2021) · Asian Social Science · doi:10.5539/ass.v18n1p7 · Cited by 4
“In a mobile fitness scenario, users tend to stay in their current state due to inertia (Sun et al., 2017; Polites & Karahanna, 2012) habitually using their usual mobile apps for daily life and work, and often neglecting to use sports and fitness apps for fitness exercises.”
BackgroundResultInfluentialHayat, K., Zhang, Q., Sousa, M. J., Husnain, M., & Shahzad, K. (2025) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2025.124357 · Cited by 4
From Ownership to Access: Resistance Towards Shared Consumption
Khalek, S. A., & Chakraborty, A. (2025) · International Journal of Consumer Studies · doi:10.1111/ijcs.70073 · Cited by 4
Naidoo, R., & Ndlovu, S. W. (2025) · Southern African Business Review · doi:10.25159/1998-8125/18742 · Cited by 4
Enablers and Inhibitors of E-tax System Use:The Perspective of Dual-Factor Concepts
Rahman, M. F., Talukder, M. S., & Lanrong, Y. (2021) · International Journal of Managing Public Sector Information and Communication Technologies · doi:10.5121/ijmpict.2021.12101 · Cited by 4
“Since the new ISs' introduction means switching from one method to the other, resistance expresses itself as a reluctance to switch the already used technology with another [48].”
BackgroundDesigning contests for data science competitions: Number of stages and the prize structures
Liu, J., & Kim, K. (2023) · Production and Operations Management · doi:10.1111/poms.14061 · Cited by 4
Beermann, V., Haskamp, T., Marx, C., & Uebernickel, F. (2023) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2023.095 · Cited by 4
“The status quo bias often manifests as inertia, which is defined on the individual level as the “attachment to, and persistence of, existing behavioral patterns (some of which are habituated) even if there were better alternatives and incentives to change” (Polites & Karahanna, 2012, p. 24).”
InfluentialLee, J. S., Kettinger, W. J., & Zhang, C. (2025) · ACM SIGMIS Database the DATABASE for Advances in Information Systems · doi:10.1145/3715966.3715971 · Cited by 4
Latiff, D. I. A., Ayub, M. S. M., Kamal, S., & Zambri, W. A. A. M. (2021) · International Journal of Academic Research in Business and Social Sciences · doi:10.6007/ijarbss/v11-i9/10704 · Cited by 4
“Polites and Karahanna (2012) mentioned in their study that relative advantage was positively associated with users’ intention to use a new system.”
Backgroundİklim Değişirken Kadın Olmak: İklim Değişikliğinde Toplumsal Cinsiyet Rolleri Kaynaklı Kırılganlık
Sırma, Ç. S. (2023) · Özgür Yayınları eBooks · doi:10.58830/ozgur.pub309.c1415 · Cited by 4
Sesgos cognitivos y uso del e-gobierno. Una perspectiva conductual
Molina, C. M., Rey‐Moreno, M., Pérez-González, B., & Moreno, R. R. (2018) · Gestión y Análisis de Políticas Públicas · doi:10.24965/gapp.v0i19.10450 · Cited by 4
Artemova, I. (2025) · Journal of Responsible Technology · doi:10.1016/j.jrt.2025.100134 · Cited by 4
Hongdiyanto, C., Widyarini, L. A., & Yusup, A. K. (2022) · Jurnal Entrepreneur dan Entrepreneurship · doi:10.37715/jee.v11i1.1954 · Cited by 4
“Therefore, how the company can accept and apply the new system depends on whether the company’s values and culture are easy to accept something new or tend to be resis- tant (Polites & Karahanna, 2012; Moradi et al., 2021).”
BackgroundLOW-COST, HOLISTIC APPROACH TO ACTIVE LEARNING IN INFORMATION TECHNOLOGY
Beasley, S. W., & Floyd, K. S. (2013) · Issues in Information Systems · doi:10.48009/2_iis_2013_47-53 · Cited by 4
“Polites and Karahanna [32] stated that instructors will be highly likely to adopt projects solution that pose little threat to losing sunk cost or increasing risk with regard to expended resources.”
BackgroundMen, J., Yang, T., & Tao, T. (2025) · Industrial Management & Data Systems · doi:10.1108/imds-11-2024-1116 · Cited by 4
How Perceived Stress Affects Farmers’ Continual Adoption of Farmland Quality Improvement Practices
Li, N., & Xue, C. (2022) · Agriculture · doi:10.3390/agriculture12060876 · Cited by 4
Unfolding IoT Adoption: A Status Quo Bias Perspective
Rimbeck, M., Stumpf-Wollersheim, J., & Richter, A. (2024) · Business & Information Systems Engineering · doi:10.1007/s12599-024-00891-6 · Cited by 4
“Transition costs and perceived sunk costs, along with the associated habitual use of familiar systems, also reinforce inertia to adopt new IS (Polites and Karahanna 2012; Shankar and Nigam 2022).”
A suggestion of the research direction for older adults' ICT use behaviors: SILC
Lee, W.-K. (2013) · The Journal of Information Systems · doi:10.5859/kais.2013.22.3.59 · Cited by 4
Cloud Storage Services: Converting the Free-Trial User to a Paid Subscriber
Yan, J., & Wakefield, R. L. (2015) · International Conference on Information Systems · Cited by 4
Participation in Open Knowledge-Sharing Community: Expectancy Value Perspective
Wu, M., Kang, L., Li, X., & Zhao, J. L. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-39396-4_14 · Cited by 4
Increasing RPA Adoption: An Experiment on Countermeasures for Status Quo Bias
Godefroid, M., Plattfaut, R., & Niehaves, B. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-41620-0_19 · Cited by 4
Halo Effect on the Adoption of Mobile Payment: A Schema Theory Perspective
Gong, X., Zhang, K. Z. K., & Zhao, S. J. (2015) · Lecture notes in business information processing · doi:10.1007/978-3-319-17957-5_10 · Cited by 4
“While recognizing users’ choice of a particular IS to is similar to consumers’ brand choice [29], Kim [23] described halo effect in organizational contexts such that people may use existing schemata to facilitate the use of new IS functions.”
BackgroundA resistance to change perspective on nonusers of telecenters
Gollakota, K., & Pick, J. B. (2019) · The Electronic Journal of Information Systems in Developing Countries · doi:10.1002/isd2.12127 · Cited by 4
“Unwillingness to change is not only cognitive but also emerges from an emotional basis (Polites & Karahanna, 2012).”
BackgroundZarifis, A., Cheng, X., Jayawickrama, U., & Corsi, S. (2021) · International Journal of Information Systems in the Service Sector · doi:10.4018/ijisss.289219 · Cited by 4
“Inertia is created by the habit of using an incumbent system, the perceived transition costs and a psychological commitment due to perceived sunk costs and the appeal of the alternatives (Ghazali et al., 2016; Polites & Karahanna, 2012).”
InfluentialTaiwanese Middle-Aged and Elderly Patients’ Acceptance and Resistance Toward the Health Cloud
Ku, W.-T., & Hsieh, P.-J. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-20913-5_9 · Cited by 4
Health Behaviour Change Support Systems: Past Research and Future Challenges
Mettler, T. (2015) · Alexandria (UniSG) (University of St.Gallen) · Cited by 4
Li, S., Han, X., Liu, H., & Zhang, M. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2623222 · Cited by 4
“Third, within the mooring dimension, both technological complexity and cognitive inertia significantly hinder switching intentions, consistent with prior research on technology adoption barriers (Patnaik & Bakkar, 2024; Polites & Karahanna, 2012).”
InfluentialThe Influence of Industry Association Involvement on Technology Decision-Making in Small Businesses
Woods, J. A., Gottschall, R., Matthews, C. H., & Carsrud, A. L. (2017) · Journal of Enterprising Culture · doi:10.1142/s0218495817500121 · Cited by 4
Leaving the Lights On? Exploring Cloud ERP Migrations and IS Discontinuance
Kinnunen, J. (2021) · IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) · doi:10.1109/uemcon53757.2021.9666669 · Cited by 4
Reid, S. A., Lackes, R., Siepermann, M., & Wulfhorst, V. (2022) · Lecture notes in business information processing · doi:10.1007/978-3-031-16947-2_10 · Cited by 4
Sharmila Devi, R., & Perumandla, S. (2023) · Frontiers in Sustainable Cities · doi:10.3389/frsc.2023.1295357 · Cited by 4
“This heightened sensitivity can increase the perceived effort required to make the change, which in turn increases the level of resistance due to inertia (Polites and Karahanna, 2012; Fok and Henry, 2015).”
Putri, V. Q., Shihab, M. R., & Hidayanto, A. N. (2019) · International Conference on Advanced Computer Science and Information Systems · doi:10.1109/icacsis47736.2019.8979769 · Cited by 4
“This particular finding differs from that of previous researches [10].”
BackgroundResultInfluentialA Moderated Mediation Model Linking Excessive Enterprise Social Media Usage With Job Performance
Li, H., Ali, M., Amin, M. W., & Liang, H. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.884946 · Cited by 4
“Research has suggested that when individuals continuously engage in a certain behavior (excessive ESM usage) they do not optimally measure the costs of their decision (Polites and Karahanna, 2012).”
BackgroundInfluentialImplementing Big Data Analytics in Small Firms: A Situated Human Practice Approach
Gurǎu, C., & Ranchhod, A. (2019) · Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration · doi:10.1002/cjas.1529 · Cited by 4
Hoque, F., Seet, P., Meek, S., & Sadeque, S. (2025) · Business Strategy & Development · doi:10.1002/bsd2.70249 · Cited by 4
Demann, J., Doblinger, C., & Nar, S. (2026) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2026.101954 · Cited by 4
Phongsatha, T. (2024) · Pakistan Journal of Life and Social Sciences (PJLSS) · doi:10.57239/pjlss-2024-22.1.00424 · Cited by 4
A Systematic Review of Smart Campus Initiatives in Transforming Higher Education Institutions
Bakar, M. R. A. (2025) · Journal of Information and Knowledge Management · doi:10.24191/jikm.v15isi2.8289 · Cited by 4
Qi, C., & Li, C. (2023) · Asia Pacific Journal of Information Systems · doi:10.14329/apjis.2023.33.2.513 · Cited by 3
Consumer Resistance to Chatbot Adoption
Bouqlila, F., Megzari, S., & Dahab, D. (2025) · International Journal of E-Services and Mobile Applications · doi:10.4018/ijesma.384512 · Cited by 3
Vaghefi, I., Turel, O., & D’Arcy, J. (2025) · Information & Management · doi:10.1016/j.im.2025.104163 · Cited by 3
Why ex-users come back: revealing characteristics and patterns of information system use resumption
Platzer, N., Stoeckl, F., Maier, C., & Eckhardt, A. (2025) · Information & Management · doi:10.1016/j.im.2025.104106 · Cited by 3
Faroque, A. R., Shimul, A. S., Xu, H., Kuivalainen, O., Murshed, F., & Sundqvist, S. (2025) · International Business Review · doi:10.1016/j.ibusrev.2025.102428 · Cited by 3
THE MEDIATION EFFECT OF INERTIA ON SERVICE DURATION
Lee, J. M., Hwang, H., Tran, A. T. K., & Keel, A. L. (2019) · Journal of Applied Structural Equation Modeling · doi:10.47263/jasem.3(1)02 · Cited by 3
E-grocery on demand: consumer characteristics, barriers, and resistance
Park, J., Ha, S., & Campbell, J. M. (2025) · The International Review of Retail Distribution and Consumer Research · doi:10.1080/09593969.2025.2526481 · Cited by 3
Lifetime deals: the role of software service offering in convincing consumers
Sorkun, M. F., & İdin, N. A. (2024) · Journal of Services Marketing · doi:10.1108/jsm-02-2024-0094 · Cited by 3
“Hide Our Heads in the Sand”: Environmental information avoidance motives in the United States
Deline, M. B., Rickard, L. N., Katreeb, M., & Adams, M. (2024) · Frontiers in Communication · doi:10.3389/fcomm.2024.1468968 · Cited by 3
Wang, T., & Sun, Y. (2025) · Digital Health · doi:10.1177/20552076251326135 · Cited by 3
From inertia to action: how humorous signs nudge tourists toward sustainability
Lei, M., Li, Y., & Mody, M. A. (2025) · Journal of Sustainable Tourism · doi:10.1080/09669582.2025.2591833 · Cited by 3
Market Isomorphism and Mobile Commerce Adoption in The Omnichannel: A Systematic Literature Review
Hui, T. C., & Marikan, D. A. B. A. (2022) · Asian Journal of Business Research · doi:10.14707/ajbr.220131 · Cited by 3
Estrategia omnicanal para no usuarios del e-gobierno
Molina, C. M., Rey‐Moreno, M., & Pérez-González, B. (2017) · Gestión y Análisis de Políticas Públicas · doi:10.24965/gapp.v0i18.10463 · Cited by 3
Secret power of the product ecosystem: A network perspective from the case of Apple
Chang, J. (2025) · Journal of Business Research · doi:10.1016/j.jbusres.2025.115641 · Cited by 3
Beyond the screen: Exploring pathways to reduce SNS dependency
Nascimento, P., Oliveira, T., & Neves, J. (2024) · Telematics and Informatics · doi:10.1016/j.tele.2024.102224 · Cited by 3
Fast, V., & Schnurr, D. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3786245 · Cited by 3
Rix, J., Rußell, R., Rühr, A., & Heß, T. (2022) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2022.554 · Cited by 3
User Acceptance of Password Manager Software: Evidence from Australian Microbusinesses
Jamil, H., Zia, T. A., & Nayeem, T. (2021) · Journal of Information Security and Cybercrimes Research · doi:10.26735/kpob8473 · Cited by 3
“Polites and Karahanna [34] have tested the PEU and found its association with self-efficacy.”
BackgroundIs privacy hopeless? Hopelessness and privacy concern
Heinrich, M., & Gerhart, N. (2025) · Personal and Ubiquitous Computing · doi:10.1007/s00779-025-01845-9 · Cited by 3
“When low effort responses do not require high cognition, they are often demonstrated by habit, inertia, or status quo [21].”
Khan, A. R. (2026) · VINE Journal of Information and Knowledge Management Systems · doi:10.1108/vjikms-08-2025-0355 · Cited by 3
Jo, H., & Bang, Y. (2024) · Humanities and Social Sciences Communications · doi:10.1057/s41599-024-02723-0 · Cited by 3
“L Facilitating conditions items were adapted from Polites and Karahanna (2012), emphasizing the resources and compatibility necessary for O4O usage.”
RetractedJiang, L., Ren, Y., Xie, Y., & Ma, Y. (2025) · Industrial Management & Data Systems · doi:10.1108/imds-05-2024-0496 · Cited by 3
Zhang, S. Y., & Liu, L. (2013) · Swinburne figshare (Swinburne University of Technology) · Cited by 3
How Does Smartphone Usage Feedback Influence Mobility Behavior?
Lu, X., Zhao, X., & Zhao, X. (2022) · Journal of Computer Information Systems · doi:10.1080/08874417.2022.2098879 · Cited by 3
“52,53,60 That is, users with low-level mobility in the past tend to continue low-level mobility in the future.”
BackgroundPredicting students’ transfer intention to other universities using the push–pull–mooring model
Yen, Y. (2023) · Journal of Marketing for HIGHER EDUCATION · doi:10.1080/08841241.2023.2199693 · Cited by 3
“Indeed, many students consider staying at their current university due to switching costs (Polites & Karahanna, 2012).”
The effect of self-fulfilling prophecy on developing auditors' ethical values
Rezaeirad, M., & Jahromi, A. K. (2021) · International Journal of Ethics and Systems · doi:10.1108/ijoes-11-2020-0182 · Cited by 3
Jia, R., Steelman, Z., & Jia, H. H. (2023) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2023.673 · Cited by 3
“…in topical themes in verbal discussions among users of a group support system (Dennis, 1997) and continued use of an existing system despite better alternatives by individuals (Han, Park & Oh, 2016; Polites & Karahanna, 2012) and organizations (Furneaux & Wade, 2011; Seddon, Calvert & Yang, 2010).”
Weinert, C., Maier, C., & Laumer, S. (2015) · Journal of the Association for Information Systems · Cited by 3
Social influences in consumers' mobile phone switching behavior
Nykänen, J. I., Tuunainen, V. K., Piispanen, J., & Tuunanen, T. (2015) · Americas Conference on Information Systems · Cited by 3
Maier, C., Laumer, S., Eckhardt, A., & Weitzel, T. (2012) · Americas Conference on Information Systems · Cited by 3
Matt, C., Heß, T., & Heinz, S. (2015) · International Conference on Interaction Sciences · doi:10.7892/boris.105437 · Cited by 3
“Polites and Karahanna (2012) identified the significant effect of “incumbent system habit” as an antecedent of inertia in order to explain further intentions to use a system.”
BackgroundUsers' Status Quo Bias in the Mobile Application Context : From the Myopic Loss Aversion Perspective
Park, S. (2015) · The Journal of Information Systems · doi:10.5859/kais.2015.24.2.189 · Cited by 3
이보경, & Kim, B. (2012) · The e-Business Studies · doi:10.15719/geba.13.3.201209.499 · Cited by 3
A Study on Antecedents of SNS User's Addiction in the Age of Convergence: The Role of SNS Habit
Kim, B., & Kim, D.-K. (2015) · Journal of Digital Convergence · doi:10.14400/jdc.2015.13.8.161 · Cited by 3
“SNS Habit Using Facebook without being aware of the choice Polites and Karahanna [22] .”
The Factors Influencing Information Technology Non-Acceptance: Approach by Grounded Theory
Lee, W.-K., & Park, J.-H. (2015) · The Journal of Information Systems · doi:10.5859/kais.2015.24.4.83 · Cited by 3
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