The DOI matches its Crossref record; 110 of the 112 references it cites were found in a registry or an index.
Understanding the Customer Base of Service Providers: An Examination of the Differences between Switchers and Stayers
Open accessAbstract
Creating and maintaining customer loyalty has become a strategic mandate in today's service markets. Recent research suggests that customers differ in their value to a firm, and therefore customer retention and loyalty-building efforts should not necessarily be targeted to all customers of a firm. Given these sentiments, it is becoming increasingly necessary for firms to have a thorough understanding of their customer base. Yet current knowledge is limited in providing insights to firms regarding the differences within their customer base. This research comprises two studies in which the authors examine the differences among internal customer groups in a service industry. As theory suggests and as is empirically validated here, customers who have switched service providers because of dissatisfaction seem to differ significantly from other customer groups in their satisfaction and loyalty behaviors. The findings offer some interesting implications for both marketing theory and practice.
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
“Customer switching has negative consequences on companies’ market share and profitability (Ganesh et al. 2000).”
From Health insurance policy renewal: an exploration of reputation, performance, and affect to understand customer inertia (2022) · cites this paper as Ganesh et al. 2000
Citations
Cites
(1994) · Journal of the American Dietetic Association · doi:10.1016/0002-8223(94)92216-0 · Cited by 46,726
Tversky, A., & Kahneman, D. (1974) · Science · doi:10.1126/science.185.4157.1124 · Cited by 28,810
Judgment under Uncertainty: Heuristics and Biases
Tversky, A., & Kahneman, D. (1975) · Utility, Probability, and Human Decision Making · doi:10.1007/978-94-010-1834-0_8 · Cited by 22,650
The commitment-trust theory of relationship marketing
Morgan, R. M., & Hunt, S. D. (1994) · Journal of Marketing · doi:10.1177/002224299405800302 · Cited by 22,355
A conceptual model of service quality and its implications for future research
Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985) · Journal of Marketing · doi:10.1177/002224298504900403 · Cited by 21,645
SERVQUAL: A multiple-Item Scale for measuring consumer perceptions of service quality
Parasuraman, A., Berry, L. L., & Zeithaml, V. A. (1988) · Zenodo · doi:10.5281/zenodo.14579729 · Cited by 21,118
A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions
Oliver, R. L. (1980) · Journal of Marketing Research · doi:10.1177/002224378001700405 · Cited by 14,494
(2025) · doi:10.53555/acr.v2i2 · Cited by 13,486
The Behavioral Consequences of Service Quality
Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1996) · Journal of Marketing · doi:10.2307/1251929 · Cited by 12,003
Pearlin, L. I., & Schooler, C. (1978) · Journal of Health and Social Behavior · doi:10.2307/2136319 · Cited by 7,791 · cited 1×
“This is particularly relevant because consumer researchers have identified several psychological coping mechanisms that relate to devaluing, or decreasing the importance of, the object causing psychological stress (Pearlin and Schooler 1978).”
Background
Research works printed but not linked: 26
- 10.1177/002224378302000103 · DOI
- 10.1177/002224299405800408 · DOI
- Blattberg Robert C., 1996, Harvard Business Review, 74, 136
- 10.1177/002224378702400307 · DOI
- 10.1177/002224378201900410 · DOI · Paper page
- Day George S., 1969, Journal of Advertising, 9, 29
- Dowling Graham R., 1997, Sloan Management Review, 38, 71
- 10.1177/002224299205600103 · DOI · Paper page
- 10.1177/002224299606000403 · DOI · Paper page
- Houston Michael J., 1978, “A Paradigm for Research on Consumer Involvement,”
- 10.1177/002224299505900206 · DOI · Paper page
- LaTour Stephen A., 1979, Advances in Consumer Research, 6, 431
- LaTour Stephen A., 1980, Advances in Consumer Research, 7, 588
- 10.1177/002224299906300206 · DOI
- Nunnally Jum C., 1978, Psychometric Theory.
- O'Brien Louise, 1995, Harvard Business Review, 73, 75
- Parasuraman A., 1988, Journal of Retailing, 64, 12
- Reichheld Frederick F., 1993, Harvard Business Review, 71, 64
- Reichheld Frederick F., 1990, Journal of Retail Banking, 4, 19
- Sherif Musafer, 1947, The Psychology of Ego-Involvement.
- Swan John E., 1989, Journal of Retailing, 65, 516
- 10.1177/002224378802500209 · DOI
- Westbrook Robert A., 1981, Journal of Retailing, 57, 68
- Westbrook Robert A., 1981, Advances in Consumer Research, 8, 94
- 10.1177/002224378302000308 · DOI
- 10.1177/002224299606000203 · DOI · Paper page
Cited by
Sorted by citations
Items 501–600 of 1,000
Mouri, N. (2005) · Journal of International Crisis and Risk Communication Research · Cited by 27
Building Customer Loyalty: A customer experience based approach in a tourism context
Donnelly, M., Holden, M. T., & Lynch, P. (2009) · SETU Waterford Libraries - Open Access Repository · Cited by 27
N’Goala, G. (2010) · Recherche et Applications en Marketing (French Edition) · doi:10.1177/076737011002500101 · Cited by 38
Quoquab, F., Abdullah, N. L., & Mohammad, J. (2016) · Gadjah Mada International Journal of Business · doi:10.22146/gamaijb.9286 · Cited by 26
Airline co-branded credit cards—An application of the theory of planned behavior
Wang, S. W., & Hsu, M. K. (2016) · Journal of Air Transport Management · doi:10.1016/j.jairtraman.2016.06.007 · Cited by 26
Customers’ Perceptions of Employee Engagement: Fortifying the Service–Profit Chain
Cain, L., Tanford, S., & Shulga, L. V. (2017) · International Journal of Hospitality & Tourism Administration · doi:10.1080/15256480.2017.1305312 · Cited by 26
Kautish, P., Khare, A., & Sharma, R. (2022) · Journal of Marketing Analytics · doi:10.1057/s41270-021-00134-7 · Cited by 25
The Comparative Analysis of the Factors Effecting Brand Loyalty towards Samsung Products
Ramiz, M., Qasim, M., Rizwan, M. S., Aslam, F., & Khurshid, A. (2014) · Journal of Sociological Research · doi:10.5296/jsr.v5i1.6569 · Cited by 25
Kurtcan, B. D., & Özcan, T. (2023) · Journal of Forecasting · doi:10.1002/for.2960 · Cited by 25
Sánchez‐Franco, M. J., & Martín‐Velicia, F. A. (2011) · Online Information Review · doi:10.1108/14684521111128005 · Cited by 25
Osarenkhoe, A. (2006) · International Journal of Technology Marketing · doi:10.1504/ijtmkt.2006.008867 · Cited by 26
An integrative approach to diagnosing service quality of public parks
Eng, T., & Niininen, O. (2005) · Journal of Services Marketing · doi:10.1108/08876040510591385 · Cited by 25
O’Loughlin, D., & Szmigin, I. T. D. (2006) · Journal of Consumer Behaviour · doi:10.1002/cb.39 · Cited by 26
The rise of the prosumer: an analysis of self-service technology adoption in a corporate context
Considine, E., & Cormican, K. T. (2022) · International journal of information systems and project management · doi:10.12821/ijispm050202 · Cited by 25
Caigny, A. D., Bock, K. W. D., & Verboven, S. (2024) · Decision Support Systems · doi:10.1016/j.dss.2024.114217 · Cited by 24
Systematic performance differences across the manufacturing-service continuum
Reed, R., & Storrud‐Barnes, S. F. (2009) · Service Business · doi:10.1007/s11628-009-0073-7 · Cited by 24
Inertia: Spurious Loyalty or Action Loyalty?
Wu, L. (2011) · Asia Pacific Management Review · doi:10.6126/apmr.2011.16.1.03 · Cited by 24
Switching Behaviour of Young Adults in Cellular Service Industry: An Empirical Study of Pakistan
Aslam, W., & Frooghi, R. (2018) · Global Business Review · doi:10.1177/0972150917713886 · Cited by 24
Effects of ethical sales behaviour on satisfaction, trust, commitment, retention and words-of-mouth
Ou, W., Shih, C., & Chen, C.-Y. (2015) · International Journal of Commerce and Management · doi:10.1108/ijcoma-04-2013-0040 · Cited by 25
Factors Affecting Switching Behavior of Mobile Service Users: The Case of Jordan
Awwad, M. S., & Neimat, B. A. (2010) · Journal of economic and administrative sciences. · doi:10.1108/10264116201000002 · Cited by 24
The impact of online purchase behaviour on customer lifetime value
Kvíčala, D., Kŕaĺová, M., & Suchánek, P. (2024) · Journal of Marketing Analytics · doi:10.1057/s41270-024-00328-9 · Cited by 23
Hedonic value and crowdfunding project performance: a propensity score matching-based analysis
Zhao, L., & Vinig, T. G. (2017) · Review of Behavioral Finance · doi:10.1108/rbf-09-2016-0059 · Cited by 23
Brand loyalty among mobile users
Ghimire, M., & Karki, D. (2022) · NCC Journal · doi:10.3126/nccj.v7i1.58612 · Cited by 23
The Value of Trust for Travel Agencies in Achieving Customers' Attitudinal Loyalty
Devece, C., Agreda, S. G., & Ribeiro-Navarrete, B. (2015) · Journal of Promotion Management · doi:10.1080/10496491.2015.1051409 · Cited by 23
The Loyalty Continuum: Differentiating Between Stages of Loyalty Development
Curran, J. M., & Healy, B. C. (2014) · The Journal of Marketing Theory and Practice · doi:10.2753/mtp1069-6679220402 · Cited by 23
The impact of a prestigious partner on affinity card marketing
Fock, H. K. Y., Woo, K., & Hui, M. K. (2005) · European Journal of Marketing · doi:10.1108/03090560510572007 · Cited by 23
Alshurideh, M. T. (2017) · International Journal of Business and Management · doi:10.5539/ijbm.v12n7p201 · Cited by 23
Antecedents and consequences of attitude contagion processes: the example of apparel brand fan pages
Hsu, L. (2019) · Journal of Product & Brand Management · doi:10.1108/jpbm-07-2018-1930 · Cited by 24
Machine Learning for Customer Churn Prediction in Retail Banking
Dias, J., Godinho, P. M. C., & Torres, P. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-58808-3_42 · Cited by 23
A multi-period analysis of the integrated item-sharing and crowdshipping problem
Behrend, M., Meisel, F., Fagerholt, K., & Andersson, H. (2020) · European Journal of Operational Research · doi:10.1016/j.ejor.2020.10.034 · Cited by 23
The effect of frontline employees’ personal self-disclosure on consumers’ encounter experience
Andersson, P. K., Gustafsson, A., Kristensson, P., & Wästlund, E. (2016) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2015.12.004 · Cited by 24
Staudt, Y., & Wagner, J. (2018) · International Journal of Bank Marketing · doi:10.1108/ijbm-11-2016-0175 · Cited by 22
Reasons for Switching Service Providers
East, R., Grandcolas, U., Riley, F. D., & Lomax, W. (2012) · Australasian Marketing Journal (AMJ) · doi:10.1016/j.ausmj.2011.12.001 · Cited by 22
Encouraging Supply Chain Networks and Customer Loyalty in Global Supply Chain
Kasemsap, K. (2016) · Advances in logistics, operations, and management science book series · doi:10.4018/978-1-4666-9894-9.ch006 · Cited by 22
Saha, M., & Sahney, S. (2021) · Internet Research · doi:10.1108/intr-08-2020-0472 · Cited by 25
Tang, L., Thomas, L. C., Fletcher, M., Pan, J., & Marshall, A. P. (2014) · European Journal of Operational Research · doi:10.1016/j.ejor.2014.01.004 · Cited by 22
Howat, G., & Murray, D. W. (2002) · European Sport Management Quarterly · doi:10.1080/16184740208721910 · Cited by 22
When free gifts hurt the promoted product
Park, Y., & Yi, Y. (2019) · European Journal of Marketing · doi:10.1108/ejm-11-2017-0904 · Cited by 21
Naz, F., Alshaabani, A., Rudnák, I., & Magda, R. (2021) · Economies · doi:10.3390/economies9040200 · Cited by 24
Churn Prediction Analysis by Combining Machine Learning Algorithms and Best Features Exploration
Elyusufi, Y., & Kbir, M. A. (2022) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2022.0130773 · Cited by 21
Post-Adoption Switching Between Technology Substitutes: The Case of Web Browsers
Ye, C., Seo, D. B., Desouza, K. C., Sangareddy, S. R. P., & Jha, S. (2006) · Journal of the Association for Information Systems · Cited by 21
Familiarity and format: cause-related marketing promotions in international markets
Singh, S., & Duque, L. C. (2019) · International Marketing Review · doi:10.1108/imr-10-2018-0307 · Cited by 22
Using Cox regression to model customer time to churn in the wireless telecommunications industry
Wong, K. K.-K. (2011) · Journal of Targeting Measurement and Analysis for Marketing · doi:10.1057/jt.2011.1 · Cited by 21
A meta-analysis of the determinants of patient satisfaction and loyalty
Olesen, K., & Bathula, H. (2022) · Health Marketing Quarterly · doi:10.1080/07359683.2022.2050000 · Cited by 20
Restaurant customer satisfaction and return patronage in a Bloemfontein shopping mall
Moolman, H. J. (2011) · Acta Commercii · doi:10.4102/ac.v11i1.157 · Cited by 20
Service Quality Perceptions of Solely Loyal Customers
Bogomolova, S. (2011) · International Journal of Market Research · doi:10.2501/ijmr-53-6-793-810 · Cited by 20
Modeling customer advocacy: a PLS path modeling approach
Roy, S. K. (2014) · Journal of Strategic Marketing · doi:10.1080/0965254x.2014.944557 · Cited by 20
Customer dependence and customer loyalty in traditional and modern format stores
Mishra, H. G., Sinha, P. K., & Koul, S. (2017) · Journal of Indian Business Research · doi:10.1108/jibr-12-2015-0126 · Cited by 21
Chen, Y., Rungtusanatham, M. J., & Goldstein, S. M. (2019) · Decision Sciences · doi:10.1111/deci.12373 · Cited by 20
Hierarchical value-attainment paths of CBEC consumers: a means-end-chain perspective
Xu, X., Tayyab, S. M. U., Chang, F.-K., & Zhao, K. (2020) · Internet Research · doi:10.1108/intr-10-2019-0397 · Cited by 21
Customers' Perception of Expensiveness and Its Impact on Loyalty Behaviors
Leisen, B., & Prosser, E. K. (2004) · Services Marketing Quarterly · doi:10.1300/j396v25n03_03 · Cited by 20
The effect of gaze on consumers’ encounter evaluation
Andersson, P. K., Wästlund, E., & Kristensson, P. (2016) · International Journal of Retail & Distribution Management · doi:10.1108/ijrdm-03-2015-0034 · Cited by 20
Guest satisfaction and guest loyalty study for hotel industry
Carev, D. (2008) · RIT Scholar Works (Rochester Institute of Technology) · Cited by 20
Three essays on the customer satisfaction-customer loyalty association
Bae, Y. H. (2012) · doi:10.17077/etd.6a0oy9du · Cited by 20
Impact of SMEs strategy on loyalty: the hairdresser case
López-Jáuregui, Á., Martos‐Partal, M., & Labeaga, J. M. (2019) · Spanish Journal of Marketing - ESIC · doi:10.1108/sjme-11-2018-0051 · Cited by 19
Leonnard (2019) · Journal on Efficiency and Responsibility in Education and Science · doi:10.7160/eriesj.2019.120401 · Cited by 19
Nasuka, M., Wijaya, T., & Hidayat, A. (2021) · Economic Annals-ХХI · doi:10.21003/ea.v187-18 · Cited by 19
An Exploration of Engagement: A Customer Perspective
Flynn, L. M. (2012) · Digital Commons-DePaul (DePaul University) · Cited by 19
Modeling Distribution Channel Dynamics of North American Cars in the Spanish Automobile Industry
Mangin, J.-P. L., Valenciano, J. D. P., & Koplyay, T. (2009) · International Advances in Economic Research · doi:10.1007/s11294-009-9203-1 · Cited by 19
Management support and perceived consumer satisfaction in skilled nursing facilities
Metlen, S., Eveleth, D. M., & Bailey, J. J. (2005) · Health Services Management Research · doi:10.1258/0951484054572510 · Cited by 19
Analyzing Customers' Switching Intentions in the Telecom Sector
Sahi, G. K., Sambyal, R., & Sekhon, H. S. (2016) · Journal of Global Marketing · doi:10.1080/08911762.2016.1184736 · Cited by 19
The Tenure-Based Customer Retention Model: A Cross-Cultural Validation
Krautz, C., & Hoffmann, S. (2017) · Journal of International Marketing · doi:10.1509/jim.16.0040 · Cited by 19
Cascio, R. (2011) · Journal of International Crisis and Risk Communication Research · Cited by 19
If at first you don't adopt - Investigating determinants of new product leapfrogging behavior
Heidenreich, S., Killmer, J. F., & Millemann, J. A. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.121437 · Cited by 19
Value innovation management and discounted cash flow
Carter, T., & Ejara, D. D. (2008) · Management Decision · doi:10.1108/00251740810846743 · Cited by 19
Attitudinal perspectives for predicting churn
Zorn, S. F., Jarvis, W., & Bellman, S. (2010) · Journal of Research in Interactive Marketing · doi:10.1108/17505931011051687 · Cited by 19
Applying and Evaluating Models to Predict Customer Attrition Using Data Mining Techniques
Au, T. S., Ma, G., & Li, S. (2003) · Cited by 19
Analyse von Kundenabwanderungen — Forschungsstand, Erklärungsansätze, Implikationen
Bruhn, M., & Boenigk, S. (2003) · Schmalenbach Journal of Business Research · doi:10.1007/bf03372712 · Cited by 19
Chatfield, A. T., & Alanazi, J. M. (2013) · Research Online (University of Wollongong) · Cited by 19
Shahzad, F., Salo, J., & Yuan, J. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e20236 · Cited by 18
The impact of personalised incentives on the profitability of customer retention campaigns
Tamaddoni, A., Stakhovych, S., & Ewing, M. T. (2017) · Journal of Marketing Management · doi:10.1080/0267257x.2017.1295094 · Cited by 18
A study of the effect of social shopping deals on online reviews
Lee, I. (2017) · Industrial Management & Data Systems · doi:10.1108/imds-09-2016-0378 · Cited by 18
Millennials: America’s cash cow is not necessarily a herd
Migacz, S. J., & Petrick, J. F. (2018) · Journal of Tourism Futures · doi:10.1108/jtf-12-2017-0056 · Cited by 18
A REVIEW ON CUSTOMER CHURN PREDICTION DATA MINING MODELING TECHNIQUES
Naz, N. A., Shoaib, U., & Sarfraz, M. S. (2018) · Indian Journal of Science and Technology · doi:10.17485/ijst/2018/v11i27/121478 · Cited by 18
Effect of Friends’ Churn on Consumer Behavior in Mobile Networks
Ferreira, P., Telang, R., & de Matos, M. G. (2019) · Journal of Management Information Systems · doi:10.1080/07421222.2019.1598683 · Cited by 6
Rehman, M. A., Khan, S. S., Osman, I., Aziz, K., & Shams, G. (2021) · Journal of Islamic accounting and business research · doi:10.1108/jiabr-05-2020-0140 · Cited by 18
Attitudinal loyalty and trust in entrepreneurship: building new relationships
Prause, G. K., Mendez, M. M., & Agreda, S. G. (2011) · International Entrepreneurship and Management Journal · doi:10.1007/s11365-011-0215-y · Cited by 18
Neira, C. V., Casielles, R. V., & Argüelles, V. I. (2009) · Cuadernos de Economía y Dirección de la Empresa · doi:10.1016/s1138-5758(09)70045-3 · Cited by 19
Fernndez-Sabiote, E., & Romn, S. (2005) · International Journal of Market Research · doi:10.1177/147078530504700303 · Cited by 18
Effect of restaurant reward programs on customers’ loyalty: evidence from Iran
Hanzaee, K. H., & Esmaeilpour, F. (2017) · Journal of Islamic marketing · doi:10.1108/jima-11-2015-0085 · Cited by 20
Forecasting category sales and market share for wireless telephone subscribers: a combined approach
Kumar, P. V., Nagpal, A., & Venkatesan, R. (2002) · International Journal of Forecasting · doi:10.1016/s0169-2070(02)00068-7 · Cited by 18
Customer disloyalty in retail banking services: attitudinal and behavioural dimensions
Bhatnagar, S. B., Mishra, J. K., & Syed, A. A. (2018) · Asia-Pacific Journal of Business Administration · doi:10.1108/apjba-08-2018-0124 · Cited by 17
Maximize What Matters: Predicting Customer Churn With Decision-Centric Ensemble Selection
Baumann, A., Lessmann, S., Coussement, K., & Bock, K. W. D. (2015) · Journal of the Association for Information Systems · doi:10.18151/7217273 · Cited by 17
Not the relationship type? Loyalty propensity as a reason to maintain marketing relationships
Wolter, J. S., Bock, D. E., Hopkins, C. D., & Giebelhausen, M. D. (2022) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-022-00847-w · Cited by 20
Guerra-Tamez, C. R., & Franco-García, M.-L. (2022) · Sustainability · doi:10.3390/su14138202 · Cited by 17
Why do some business relationships persist despite dissatisfaction? a social exchange review
Yanamandram, V. K., & White, L. (2012) · Research Online (University of Wollongong) · doi:10.6126/apmr.2012.17.3.05 · Cited by 17
Elements of the model for customer satisfaction: Serbian economy research
Ćoćkalo, D., Djordjević, D., & Sajfert, Z. (2011) · Total Quality Management & Business Excellence · doi:10.1080/14783363.2011.597583 · Cited by 17
Switching factors of mobile customers in Korea
Min, D., & Wan, L. (2009) · Journal of Service Science · doi:10.1007/s12927-009-0006-y · Cited by 17
The perceived value and perceived benefits experienced by customers using travel agents
Terblanché, N. S., & Taljaard, A. (2018) · South African Journal of Business Management · doi:10.4102/sajbm.v49i1.7 · Cited by 17
Customer Complaint Behaviour in Service
Tronvoll, B. (2008) · Digitala vetenskapliga arkivet (Diva) (Karlstad University) · Cited by 17
Jagodič, G., & Milfelner, B. (2022) · Cogent Business & Management · doi:10.1080/23311975.2022.2128252 · Cited by 16
N’Goala, G. (2010) · Recherche et Applications en Marketing (English Edition) · doi:10.1177/205157071002500101 · Cited by 17
Strategies in managing risks in the adoption of business analytics practices
Gangotra, A., & Shankar, R. (2016) · Journal of Enterprise Information Management · doi:10.1108/jeim-10-2014-0096 · Cited by 16
Mixed interpretations of sales proposal signals
Johnson, J. S., Friend, S. B., & Malshe, A. (2016) · Journal of Personal Selling and Sales Management · doi:10.1080/08853134.2016.1205447 · Cited by 16
A cross-national study on restaurant attributes between Korea and China
Cha, S.-S., Park, C. H., & Wang, X. (2019) · International Journal of Culture Tourism and Hospitality Research · doi:10.1108/ijcthr-06-2018-0076 · Cited by 16
Zhu, Y., & Lin, P. (2019) · Journal of Contemporary Marketing Science · doi:10.1108/jcmars-01-2019-0008 · Cited by 16
What drives green experiential outcomes in tourism higher education?
Wu, H., Chen, S. X., & Chang, Y.-Y. (2020) · Journal of Hospitality Leisure Sport & Tourism Education · doi:10.1016/j.jhlste.2020.100294 · Cited by 16
Research Trends in Customer Churn Prediction: A Data Mining Approach
Tianyuan, Z., & Moro, S. (2021) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-72657-7_22 · Cited by 16
Identifying Visitor Service Quality in Australian Regional Botanic Gardens
Crilley, G., Hills, J., Cairncross, G., & Moskwa, E. (2010) · Annals of Leisure Research · doi:10.1080/11745398.2010.9686859 · Cited by 16
Transference: the Effect of Relationship History on Consumers' Relationships with Other Firms
Bunker, M. P., & Ball, D. A. (2005) · ACR North American Advances · Cited by 16
Metadata
- Authors
- Ganesh, J., Arnold, M. J., & Reynolds, K. E.
- Affiliations
- University of Central Florida (US)
- ORCID
- Ganesh, Jaishankar
- Venue
- Journal of Marketing
- Publisher
- SAGE Publications
- Published
- 2000-07
- Volume
- 64
- Issue
- 3
- Pages
- 65-87
- ISSN
- 0022-2429 (ISSN-L)
- 1547-7185
- OpenAlex
- W2159105921
- Cited by
- 1,305
- References
- 112
- Citations by year
- 2026: 9 · 2025: 23 · 2024: 36 · 2023: 32 · 2022: 37 · 2021: 61 · 2020: 67 · 2019: 73 · 2018: 61 · 2017: 68 · 2016: 70 · 2015: 71 · 2014: 70 · 2013: 75 · 2012: 73
- FWCI
- 32.44
- Type
- journal article
- Language
- en
- Open access
- Locations
- Journal of Marketing (publishedVersion)
- Journal of International Crisis and Risk Communication Research (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › Customer Service Quality and Loyalty
- Social Sciences › Business, Management and Accounting › Marketing › Customer churn and segmentation
- Social Sciences › Business, Management and Accounting › Marketing › Service and Product Innovation
- Keywords
- customer switching, customer retention, customer loyalty, customer satisfaction, customer segmentation, service providers, customer value, customer dissatisfaction
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