The Mediating Effect of Perceived Value on the Relationship Between Motivated Consumer Innovativeness and Sports Facility Revisit Intentions


  • Sid Terason Kasetsart University
  • Sanatan Tiwari University of Delhi
  • Pirayut Pattanayanon Thonburi University
  • Anuchit Kulwanich Suan Sunandha Rajabhat University

DOI: 10.14456/abacj.2022.6
Published: 2022-04-30


Sports facility businesses strive for sustainable profitability by securing membership applications. Anticipated revisits to a sports venue are deemed critical for such service-delivering businesses. Data collection was targeted at 250 Bangkok residents will a propensity to engage in exercise or health-oriented activities. The scales used were adapted from prior studies and checked for reliability as well as convergent and discriminant validity. Structural equation modeling was used to assess the relationships with the aid of a SmartPLS program. The proposed mediating relationship was confirmed. Motivated consumer innovativeness significantly affected revisit intentions through perceived value. Future research might shift to a comparative design or address regional discrepancies. A sports facility might consider promoting motivated consumer innovativeness and perceived value among patrons to enhance the chances of revisits.


Anderson, E. W., Fornell, C., & Lehmann, D. R. (1994). Customer satisfaction, market share, and profitability: Findings from Sweden. Journal of Marketing, 58(3), 53–66.

Baker, D., & Crompton, J. (2000). Quality, satisfaction and behavioral intentions. Annals of Tourism Research, 27(3), 785–804.

Bartels, J., & Reinders, M. (2011). Consumer innovativeness and its correlates: A propositional inventory for future research. Journal of Business Research, 64(6), 601–609.

Caricati, L., & Raimondi, M. (2015). The motivated consumer innovativeness scale: Initial Italian validation. TPM: Testing, Psychometrics, Methodology in Applied Psychology, 22(3), 363–383.

Chen, K. (2014). Assessing the effects of customer innovativeness, environmental value and ecological lifestyles on residential solar power systems install intention. Energy Policy, 67, 951–961.

Cole, S., & Scott, D. (2004). Examining the mediating role of experience quality in a model of tourist experiences. Journal of Travel & Tourism Marketing, 16(1), 79–90.

Craparo, R. M. (2007). Significance level. In N. J. Salkind (Ed.), Encyclopedia of Measurement and Statistics (pp. 889–891). SAGE Publications.

Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16, 297–334.

DeVellis, R. F. (2005). Inter-rater reliability. In K. Kempf-Leonard (Ed.), Encyclopedia of social measurement Vol. 2 (pp. 317–322). Elsevier.

Falk, R. F., & Miller, N. B. (1992). A primer for soft modeling. University of Akron Press.

Fried, G., & Kastel, M. (2021). Managing sport facilities (4th ed.). Human Kinetics.

Ford, M. E., & Nichols, C. W. (1987). A taxonomy of human goals and some possible applications. In M. E. Ford, & D. H. Ford (Eds.), Humans as self-constructing systems: Putting the framework to work (pp. 289−311). Erlbaum.

Foxall, G., Goldsmith, R., & Brown, S. (1998). Consumer psychology for marketing (2nd ed.). Cengage Learning EMEA.

Gefen, D., & Straub, D. (2005). A practical guide to factorial validity using PLS-graph: Tutorial and annotated example. Communications of the Association for Information Systems, 16(1), 91–109.

Green, K., Thurston, M., Vaage, & Roberts, K. (2015). [We’re on the right track, baby], we were born this way! Exploring sports participation in Norway. Sport, Education and Society, 20(3), 285–303.

Gronroos, C. (1984). A service quality model and its marketing implications. European Journal of Marketing, 18(4), 36–44.

Goodhue, D. L., Lewis, W., & Thompson, R. (2012). Does PLS have advantages for small sample size or nonnormal data? MIS Quarterly, 36(3), 981–1001.

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis. Prentice Hall.

Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–152. 6679190202

Hair, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM). Sage Publications.

Han, H., & Hyun, S. S. (2015). Customer retention in the medical tourism industry: Impact of quality, satisfaction, trust, and price reasonableness. Tourism Management, 46, 20–29.

Hellier, P. K., Geursen, G. M., Carr, R. A., & Rickard, J. A. (2003). Customer repurchase intention: A general structural equation model. European Journal of Marketing, 37(12), 1762–1800.

Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: Updated guidelines. Industrial Management & Data Systems, 116(1), 2–20.

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135.

Höck, M., & Ringle, C. M. (2006). Strategic networks in the software industry: An empirical analysis of the value continuum. IFSAM VIIIth World Congress, Berlin 2006.

Hume, M., Mort, G. S., & Winzar, H. (2007). Exploring repurchase intention in a performing arts context: Who comes? And why do they come back? International Journal of Nonprofit and Voluntary Sector Marketing, 12(2), 135–148.

Jeanes, R., Spaaij, R., Penney, D., & O’Connor, J. (2019). Managing informal sport participation: Tensions and opportunities. International Journal of Sport Policy and Politics, 11(1), 79–95.

Kazakevičiūtė, A., & Banytė, J. (2012). The relationship of consumers’ perceived hedonic value and behavior. Engineering Economics, 23(5), 532–540.

Kim, J., Lee, K., Seok, B., Choi, H., & Jung, S. (2018). Competitive factors of electronic dance music festivals with social networking service (SNS) citizenship behaviour of international tourists. Journal of Psychology in Africa, 28(2), 116–121.

Kock, N. (2017). Common method bias: A full collinearity assessment method for PLS-SEM. In Latan H., & Noonan R. (Eds), Partial Least Squares Path Modeling. Springer.

Küpeli, T. S., & Özer, L. (2020). Assessing perceived risk and perceived value in the hotel industry: An integrated approach. Anatolia, 31(1), 111–130.

Kwak, M., Lee, J., & Cha, S. (2021). Senior consumer motivations and perceived value of robot service restaurants in Korea. Sustainability, 13(5), 1–15.

Lai, W., & Chen, C. (2011). Behavioral intentions of public transit passengers—The roles of service quality, perceived value, satisfaction and involvement. Transport Policy, 18(2), 318–325.

Lehto, X. Y., O’Leary, J. T., & Morrison, A. M. (2004). The effect of prior experience on vacation behavior. Annals of Tourism Research, 31(4), 801–818.

Lichtenstein, D. R., Netemeyer, R. G., & Burton, S. (1991). Using a theoretical perspective to examine the psychological construct of coupon proneness. Advances in Consumer Research, 18(1), 501–508.

Lu, K., & Wang, X. (2020). Analysis of perceived value and travelers’ behavioral intention to adopt ride-hailing services: Case of Nanjing, China. Journal of Advanced Transportation, 2020, 1–13.

Meng, H. Y., Jung, S. H., Yu, J. P., Bae, K. H., An, B. J., & Kim, J. H. (2018). Perceived tourist values of the Museum of African Art. Journal of Psychology in Africa, 28(5), 375–381.

Mowen, J. (2000). The 3M model of motivation and personality. Kluwer Academic Publishers.

Oh, H. (2003). Price fairness and its asymmetric effects on overall price, quality, and value judgments: The case of an upscale hotel. Tourism Management, 24(4), 387–399.

Orr, M., & Kellison, T. (2020). Sport facilities as sites of environmental and social resilience. Managing Sport and Leisure, 2375-0472.

Ozturk, A., Bilgihan, A., Nusair, K., & Okumus, F. (2016). What keeps the mobile hotel booking users loyal? Investigating the roles of self-efficacy, compatibility, perceived ease of use, and perceived convenience. International Journal of Information Management, 36(6), 1350–1359.

Petrick, J. F. (2002). Development of a multi-dimensional scale for measuring the perceived value of a service. Journal of Leisure Research, 34(2), 119–134.

Podsakoff, P. M., MacKenzie, S. B., & Podsakoff, N. P. (2012). Sources of method bias in social science research and recommendations on how to control it. Annual Review of Psychology, 63, 539–569.

Ringle, C. M., Wende, S., & Becker, J. M. (2015). SmartPLS 3. SmartPLS GmbH,

Sheth, J., Newman, B., & Gross, B. (1991). Why we buy what we buy: A theory of consumption values. Journal of Business Research, 22(2), 159–170.

Shin, Y., Kim, H., & Severt, K. (2019). Consumer values and service quality perceptions of food truck experiences. International Journal of Hospitality Management, 79, 11–20.

Steenkamp, J., Hofstede, F., & Wedel, M. (1999). A cross-national investigation into the individual and national cultural antecedents of consumer innovativeness. Journal of Marketing, 63(2), 55–69.

Sweeney, J. C., & Soutar, G. N. (2001). Consumer perceived value: The development of a multiple item scale. Journal of Retailing, 77(2), 203–220.

Terason, S. (2021). Predicting sports facilities revisit based on experience and mediating effects of perceived value. Polish Journal of Sport and Tourism, 28(3), 35–41.

Um, S., Chon, K., & Ro, Y. (2006). Antecedents of revisit intention. Annals of Tourism Research, 33(4), 1141–1158.

Vandecasteele, B., & Geuens, M. (2010). Motivated consumer innovativeness: Concept, measurement, and validation. International Journal of Research in Marketing, 27(4), 308–318.

Vinzi, V. E., Chin, W. W., Henseler, J., & Wang, H. (2010). Handbook of partial least squares: Concepts. Springer.

Wasko, M. M., & Faraj, S. (2005). Why should I share? Examining social capital and knowledge contribution in electronic networks of practice. MIS Quarterly, 29(1), 35–57.

Zeithaml, V. (1988). Consumer perceptions of price, quality, and value: A means-end model and synthesis of evidence. Journal of Marketing, 52(3), 2–22.