Consumer Perceptions and Intention to Recommend Mobile Car Markets: The Mediating Effect of Perceived Value

References

• Adirinekso, G. P., Purba, J. T., Budiono, S., & Rajaguguk, W. (2020). How brand image mediated sales promotion and price to impact shopee consumer’s decision? The case of urban workers in Jakarta. Proceedings of the International Conference on Industrial Engineering and Operations Management, Sao Paulo, Brazil. April 5–8, 2021.
   Google Scholar
• Ajzen, I. (1991). The theory of planned behaviour. Organizational Behaviour and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
   Web of Science ®Google Scholar
• Alama, S. S., Alib, M. Y., & Janic, M. F. (2011). An empirical study of factors affecting electronic commerce adoption among SMEs in Malaysia. Journal of Business Economics and Management, 12(2), 375–399. https://doi.org/10.3846/16111699.2011.576749
   Web of Science ®Google Scholar
• Ali, F., Omar, R., & Amin, M. (2013). An examination of the relationships between the physical environment, perceived value, image, and behavioural Intentions: A SEM approach towards Malaysian resort hotels. Journal of Hotel and Tourism Management, 27(2), 9–26.
   Google Scholar
• Athanassopoulos, A. D. (2000). Customer satisfaction cues to support market segmentation and explain switching behaviour. Journal of Business Research, 47(3), 191–207. https://doi.org/10.1016/S0148-2963(98)00060-5
   Web of Science ®Google Scholar
• Aye, A. C. (2021). The Mediating Role of Perceived Value and Customer Satisfaction on the Relationship between Service Convenience and Loyalty: A Case Study of a Private Bank in Myanmar. Human Behavior, Development & Society, 22(2), 60–71.
   Google Scholar
• Aye, A. C., & Soe, K. N. N. (2020). The mediating role of perceived value on the relationship between service quality and loyalty: The private banking case in Myanmar. TNI Journal of Business Administration and Languages, 8(1), 88–100.
   Google Scholar
• Balakrishnan, V. (2017). Key determinants for intention to use social media for learning in higher education institutions. Universal Access in the Information Society, 16(2), 289–301. https://doi.org/10.1007/s10209-016-0457-0
   Web of Science ®Google Scholar
• Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88(3), 588–600. https://doi.org/10.1037/0033-2909.88.3.588
   Web of Science ®Google Scholar
• Berry, J. W., John, W. B., Ype, H. P., Marshall, H. S. L., & Pierre, R. D. (2002). Cross-cultural psychology: Research and applications. Cambridge University Press.
   Google Scholar
• Berry, L. L., Seiders, K., & Grewal, D. (2002). Understanding service convenience. Journal of Marketing, 66(3), 1–17. https://doi.org/10.1509/jmkg.66.3.1.18505
   Web of Science ®Google Scholar
• Brady, K. U., Kruckeberg, A. R., & Bradshaw, H. D., Jr. (2005). Evolutionary ecology of plant adaptation to serpentine soils. Annual Review of Ecology, Evolution, and Systematics, 36(1), 243–266. https://doi.org/10.1146/annurev.ecolsys.35.021103.105730
   Google Scholar
• Brick, J. M., & Kalton, G. (1996). Handling missing data in survey research. Statistical Methods in Medical Research, 5(3), 215–238. https://doi.org/10.1177/096228029600500302
   PubMedGoogle Scholar
• Byrne, B. M. (1994). Structural equation modeling with EQS and Eqs/windows. Sage Publications.
   Google Scholar
• Chang, Y. W., & Polonsky, M. J. (2012). The influence of multiple types of service convenience on behavioural intentions: The mediating role of consumer satisfaction in a Taiwanese leisure setting. International Journal of Hospitality Management, 31(1), 107–118. https://doi.org/10.1016/j.ijhm.2011.05.003
   Web of Science ®Google Scholar
• Chang, C., Tseng, Y., Liang, C., & Yan, C. (2013). The influence of perceived convenience and curiosity on continuance intention in mobile English learning for high school students using PDAs. Technology, Pedagogy & Education, 22(3), 373–386. https://doi.org/10.1080/1475939X.2013.802991
   Web of Science ®Google Scholar
• Chen, C. F. (2008). Investigating structural relationships between service quality, perceived value, satisfaction, and behavioural intentions for air passengers: Evidence from Taiwan. Transportation Research Part A: Policy and Practice, 42(4), 709–717. https://doi.org/10.1016/j.tra.2008.01.007
   Web of Science ®Google Scholar
• Chen, Z., & Dubinsky, A. J. (2003). A conceptual model of perceived customer value in e‐commerce: A preliminary investigation. Psychology & Marketing, 20(4), 323–347. https://doi.org/10.1002/mar.10076
   Web of Science ®Google Scholar
• Cheong, J., & MacKinnon, D. P. (2012). Mediation/indirect effects in structural equation modelling. In Hoyle R. H. (Ed.), Handbook of Structural Equation Modelling, 417–435. London: Guilford Press.
   Google Scholar
• Chi, T., & Chen, Y. (2020). A study of lifestyle fashion retailing in China. Marketing Intelligence & Planning, 38(1), 46–60. https://doi.org/10.1108/MIP-01-2019-0025
   Web of Science ®Google Scholar
• Chi, T., & Kilduff, P. P. (2011). Understanding consumer perceived value of casual sportswear: An empirical study. Journal of Retailing and Consumer Services, 18(5), 422–429. https://doi.org/10.1016/j.jretconser.2011.06.004
   Google Scholar
• Chin, W. W. (1998). The partial least squares approach to structural equation modelling. Modern Methods for Business Research, 295(2), 295–336.
   Google Scholar
• Choudhary, S. (2014). Rising market of convenience food in India. ACADEMICIA: An International Multidisciplinary Research Journal, 4(12), 28–33.
   Google Scholar
• Colwell, S. R., Aung, M., Kanetkar, V., & Holden, A. L. (2008). Toward a measure of service convenience: Multiple‐item scale development and empirical test. Journal of Services Marketing, 22(2), 160–169. https://doi.org/10.1108/08876040810862895
   Google Scholar
• Cooper, D. R., & Schindler, P. S. (2014). Business research methods (12th ed.). McGraw-Hill Education.
   Google Scholar
• Cronin, J., Brady, M., Brand, R., Hightower, R., & Shemwell, D. (1997). A cross-sectional test of the effect and conceptualization of service value. Journal of Services Marketing, 11(6), 375–391. https://doi.org/10.1108/08876049710187482
   Google Scholar
• Cronin, J. J., Jr., K., B. M., & Hult, G. T. M. (2000). Assessing the effects of quality, value, and customer satisfaction on consumer behavioural intentions in service environments. Journal of Retailing, 76(2), 193–218.
   Web of Science ®Google Scholar
• Dabholkar, P. A., Thorpe, D. I., & Rentz, J. O. (1996). A measure of service quality for retail stores: Scale development and validation. Journal of the Academy of Marketing Science, 24(1), 3–16. https://doi.org/10.1007/BF02893933
   Google Scholar
• De Toni, D., Eberle, L., Larentis, F., & Milan, G. S. (2018). Antecedents of perceived value and repurchase intention of organic food. Journal of Food Products Marketing, 24(4), 456–475. https://doi.org/10.1080/10454446.2017.1314231
   Web of Science ®Google Scholar
• Dlamini, B., & Schutte, D. P. (2020). An overview of the historical development of small and medium enterprises in Zimbabwe. Small Enterprise Research, 27(3), 306–322. https://doi.org/10.1080/13215906.2020.1835704
   Web of Science ®Google Scholar
• Fornell, C., Johnson, M. D., Anderson, E. W., Cha, J., & Bryant, B. E. (1996). The American customer satisfaction index: Nature, purpose, and findings. Journal of Marketing, 60(4), 7–18.
   Web of Science ®Google Scholar
• Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18(3), 382. https://doi.org/10.2307/3150980
   Web of Science ®Google Scholar
• García-Fernández, J., Gálvez-Ruiz, P., Fernández-Gavira, J., Vélez-Colon, L., Pitts, B. G., & BernalGarcía, A. (2017). The effects of service convenience and perceived quality on perceived value, satisfaction and loyalty in low-cost fitness centres. Sport Management Review, 21(3), 250–262. https://doi.org/10.1016/j.smr.2017.07.003
   Web of Science ®Google Scholar
• Gudergan, S. P., Ringle, C. M., Wende, S., & Will, A. (2008). Confirmatory tetrad analysis in PLS path modelling. Journal of Business Research, 61(12), 1238–1249. https://doi.org/10.1016/j.jbusres.2008.01.012
   Web of Science ®Google Scholar
• Gupta, S., & Kim, H.-W. (2007). The moderating effect of transaction experience on the decision calculus in the online repurchase. International Journal of Electronic Commerce, 12(1), 127–158. https://doi.org/10.2753/JEC1086-4415120105
   Web of Science ®Google Scholar
• Hanaysha, J. R. (2018). Customer retention and the mediating role of perceived value in retail industry. World Journal of Entrepreneurship, Management and Sustainable Development, 14(1), 2–24. https://doi.org/10.1108/WJEMSD-06-2017-0035
   Web of Science ®Google Scholar
• Hapsari, R., Clemes, M., & Dean, D. (2016). The mediating role of perceived value on the relationship between service quality and customer satisfaction: Evidence from Indonesian Airline Passengers. Procedia Economics and Finance, 35, 388–395. https://doi.org/10.1016/S2212-5671(16)00048-4
   Google Scholar
• Henseler, J. (2017). Partial least squares path modelling. In Advanced methods for modelling markets (pp. 361–381). Springer.
   Google Scholar
• Holbrook, M. B., & Corfman, K. P. (1985). Quality and value in the consumption experience: Phaedrus rides again. In J. Jacoby & J. C. Olson (Eds.), Perceived quality (pp. 31–58). Lexington Books.
   Google Scholar
• Hossain, M. M., & Prybutok, V. R. (2008). Consumer acceptance of RFID technology: An exploratory study. IEEE Transactions on Engineering Management, 55(2), 316–328. https://doi.org/10.1109/TEM.2008.919728
   Web of Science ®Google Scholar
• Hsu, H., Chang, Y., Lou, H., & Luo, W. (2013). Extended TAM model: Impacts of convenience on acceptance and use of moodle. US-China Education Review, 3(4), 211–218.
   Google Scholar
• Huang, Z., Luo, Y., & Wang, D. (2019). Online customer service quality of online shopping: Evidence from Dangdang. com. Cluster Computing, 22(6), 15285–15293. https://doi.org/10.1007/s10586-018-2565-5
   Google Scholar
• Hu, L.-T., & Bentler, P. M. (1998). Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychological Methods, 3(4), 424–453. https://doi.org/10.1037/1082-989X.3.4.424
   Web of Science ®Google Scholar
• Ismail, A. (2016). Intention to use smartphone through perceived compatibility, perceived usefulness, and perceived ease of use. Jurnal Dinamika Manajemen, 7(1), 1–10. https://doi.org/10.15294/jdm.v7i1.5748
   Google Scholar
• Ismail, H. A. (2016). Intention to use smartphones through perceived compatibility, perceived usefulness, and perceived ease of use. Jurnal Dinamika Manajemen, 7(1), 1–10. https://doi.org/10.15294/jdm.v7i1.5748
   Google Scholar
• Jakliča, J., Grublješiča, T., & Popovič, A. (2018). The role of compatibility in predicting business intelligence and analytics use intentions. International Journal of Information Management, 43, 305–318. https://doi.org/10.1016/j.ijinfomgt.2018.08.017
   Web of Science ®Google Scholar
• Jiang, L. A. (2013). Measuring consumer perceptions of online shopping convenience. Journal of Service Management, 24(2), 191–214. https://doi.org/10.1108/09564231311323962
   Web of Science ®Google Scholar
• Keiningham, T. L., Cooil, B., Aksoy, L., Andreassen, T. W., & Weiner, J. (2007). The value of different customer satisfaction and loyalty metrics in predicting customer retention, recommendation, and share‐of‐wallet. Managing Service Quality: An International Journal, 17(4), 361–384. https://doi.org/10.1108/09604520710760526
   Google Scholar
• Khazaal, Y., Van Singer, M., Chatton, A., Achab, S., Zullino, D., Rothen, S., Khan, R., Billieux, J., & Thorens, G. (2014). Does self-selection affect samples’ representativeness in online surveys? An investigation in online video game research. Journal of Medical Internet Research, 16(7), e2759. https://doi.org/10.2196/jmir.2759
   Web of Science ®Google Scholar
• Kim, H.-W., Chan, H. C., & Gupta, S. (2007). Value-based adoption of Mobile internet: An empirical investigation. Decision Support Systems, 43(1), 111–126. https://doi.org/10.1016/j.dss.2005.05.009
   Web of Science ®Google Scholar
• Knol, M., Janssen, K., Donders, A., Egberts, A., Heerdink, E., Grobbee, D., Moons, K., & Geerlings, M. (2010). Unpredictable bias when using the missing indicator method or complete case analysis for missing confounder values: An empirical example. Journal of Clinical Epidemiology, 63(7), 728–736. https://doi.org/10.1016/j.jclinepi.2009.08.028
   PubMed Web of Science ®Google Scholar
• Lai, F., Griffin, M., & Babin, J. B. (2009). How quality, value, image, and satisfaction create loyalty at a Chinese telecom. Journal of Business Research, 62(10), 980–986. https://doi.org/10.1016/j.jbusres.2008.10.015
   Web of Science ®Google Scholar
• Latan, H. (2018). PLS path modeling in hospitality and tourism research: The golden age and days of future past. In F. Ali, S. M. Rasoolimanesh, & C. Cobanoglu (Eds.), Application of Partial Least Squares: Structural Equation Modeling (PLS-SEM) in Tourism and Hospitality Research, 53–83. Emerald.
   Google Scholar
• Lee, T., Jun, J., Korea, Y., & Schierholz, R. (2007). Contextual perceived value? Investigating the role of contextual marketing for customer relationship management in a mobile commerce context. Business Process Management Journal, 13(6), 798–814. https://doi.org/10.1108/14637150710834569
   Google Scholar
• Li, M., & Mao, J. (2015). Hedonic or utilitarian? Exploring the impact of communication style alignment on user’s perception of virtual health advisory services. International Journal of Information Management, 35(2), 229–243. https://doi.org/10.1016/j.ijinfomgt.2014.12.004
   Web of Science ®Google Scholar
• Lin, K. Y., & Lu, H. P. (2011a). Intention to continue using Facebook fan pages from the perspective of social capital theory. Cyberpsychology, Behavior, and Social Networking, 14(10), 565–570. https://doi.org/10.1089/cyber.2010.0472
   PubMed Web of Science ®Google Scholar
• Mao, E., & Palvia, P. (2006). Testing an extended model of it acceptance in the Chinese cultural context. DataBase, 37(2&3), 20–32. https://doi.org/10.1145/1161345.1161351
   Google Scholar
• Marcos, A., & Coelho, A. (2017). Antecedents and consequences of perceived value in the insurance industry. European Journal of Applied Business and Management, 3(2), 29–51.
   Google Scholar
• Mason, M. C., Moretti, A., Marios Sotiriadis and Alexandros Apostolakis, P. (2015). Antecedents and moderators of golf tourists’ behavioral intentions. EuroMed Journal of Business, 10(3), 338–359. https://doi.org/10.1108/EMJB-10-2014-0033
   Google Scholar
• McDougall, G. H., & Levesque, T. (2000). Customer satisfaction with services: Putting perceived value into the equation. Journal of Services Marketing, 14(5), 392–410. https://doi.org/10.1108/08876040010340937
   Google Scholar
• Monroe, K. B., & Krishnan, R. (1985). The effect of price on subjective product evaluations. In J. Jacoby & J. C. Olson (Eds.), Perceived quality (pp. 209–223). D.C. Heath.
   Google Scholar
• Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 173–191. https://doi.org/10.1287/isre.2.3.192
   Web of Science ®Google Scholar
• Mpinganjira, M. (2015). Online store service convenience, customer satisfaction and behavioural intentions: A focus on utilitarian oriented shoppers. Journal of Economics and Behavioural Studies, 7(1), 36–49. https://doi.org/10.22610/jebs.v7i1(J).561
   Google Scholar
• Ni, W. T. (2020). Factors influencing behavioural intention towards adoption of digital banking services in Malaysia. International Journal of Asian Social Science, 10(8), 450–457. https://doi.org/10.18488/journal.1.2020.108.450.457
   Google Scholar
• Nunnally, J. C. (1978). Psychometric theory (2nd ed.). McGraw-Hill.
   Google Scholar
• Ozili, P. K., & Arun, T. (2020). Economic effects of Coronavirus outbreak (COVID-19) on the world economy. Nuno Fernandes Full Professor of Finance IESE Business School Spain.
   Google Scholar
• Ozturk, A. B., 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. https://doi.org/10.1016/j.ijinfomgt.2016.04.005
   Web of Science ®Google Scholar
• Pallant, J. (2011). Survival manual. A step-by-step guide to data analysis using SPSS, 4. McGraw-Hill.
   Google Scholar
• Parasuraman, A. P., & Grewal, D. (2000). Serving customers and consumers effectively in the twenty-first century: A conceptual framework and overview. Journal of the Academy of Marketing Science, 28(1), 9–16. https://doi.org/10.1177/0092070300281001
   Web of Science ®Google Scholar
• Parasuraman, A., Zeithaml, V. A., & Malhotra, A. (2005). ES-QUAL: A multi-item scale for assessing electronic quality. Journal of Service Research, 8(1), 213–233.
   Google Scholar
• 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. https://doi.org/10.1080/00222216.2002.11949965
   Web of Science ®Google Scholar
• Punnoose, A. C. (2012). Determinants of intention to use elearning based on the technology acceptance model. Journal of Information Technology Education: Research, 11(1), 301–337. https://doi.org/10.28945/1744
   Google Scholar
• Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.
   Google Scholar
• Seiders, K., Voss, G. B., Godfrey, A. L., & Grewal, D. (2007). SERVCON: Development and validation of a multidimensional service convenience scale. Journal of the Academy of Marketing Science, 35(1), 144–156. https://doi.org/10.1007/s11747-006-0001-5
   Web of Science ®Google Scholar
• Sun, S., Huang, Y., Scott, K. L., C, L. S., & Lee, C. P. (2015). The influence of service value and service quality on the continuance adoption of SNS. International Journal of Electronic Business Management, 13, 76–84.
   Google Scholar
• Sweeney, J., Soutar, G., & Johnson, L. (1997). Retail service quality and perceived value: A comparison of two models. Journal of Retailing and Consumer Services, 4(1), 39–48. https://doi.org/10.1016/S0969-6989(96)00017-3
   Google Scholar
• Trivedi, K., Trivedi, P., & Goswami, V. (2018). Sustainable marketing strategies: Creating business value by meeting consumer expectation. International Journal of Management, Economics and Social Sciences, 7(2), 186–205.
   Google Scholar
• World Bank. (2020). Global economic prospects, June 2020. The World Bank.
   Google Scholar
• Yale, L., & Venkatesh, A. (1986). Toward the construct of convenience in consumer research. ACR North American Advances.
   Google Scholar
• 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. https://doi.org/10.1177/002224298805200302
   Web of Science ®Google Scholar