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Examining the influence of control and convenience in a self-service setting

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Abstract

The constructs of perceived control and convenience have been identified in previous qualitative studies of self-service technology (SST) use as important factors; yet empirically their effects are relatively unknown. Based on the theory of planned behavior, this study explores how control and convenience perceptions influence customers’ utilitarian (speed of transaction) and hedonic (exploration) motivations for using an SST. In addition, we explore how trust in a service provider influences customers’ future SST intentions. Two studies were undertaken to assess both users and nonusers’ evaluations of an SST. The results revealed that perceived control and convenience do impact the intentions of customers to use an SST in the future; however, their impact was mediated through the constructs of speed of transaction, exploration, and trust. Increased control and convenience perceptions influenced exploration, trust and speed evaluations, which in turn were associated with stronger perceived value, higher SST satisfaction judgments, and increased SST usage intentions. Managerial implications stemming from the empirical findings are discussed along with directions for future research.

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Notes

  1. To account for possible alternative models, the authors performed an analysis with two different models to see if the current model was a better fit. The first alternative model excluded perceived value and satisfaction and had a direct link from trust, exploration, and speed of transaction to intentions. The second alternative model excluded control and convenience and had trust, speed of transaction, and exploration as the initial predictor variables. Both alternative models did not have a good fit to the data (Alt 1 χ2 = 256, df 3; Alt 2 χ2 = 40.5, df 3) providing initial evidence against the possibility of alternatives models being superior to the conceptualized model of the study.

  2. The authors also performed an analysis with the full structural model, including all individual measurement items, and found that none of the relationships altered from the path model. Since none of the relationships changed, we decided to use the path model for parsimony reasons.

References

  • Ahn, T., Ryu, S., & Han, I. (2007). The impact of web quality and playfulness on user acceptance of online retailing. Information and Management, 44(3), 263–275.

    Article  Google Scholar 

  • Ajzen, I. (1985). From intentions to actions: a theory of planned behavior. In J. Kuhl & J. Beckmann (Eds.), Action control: from cognition to behavior (pp. 11–39). New York: Springer Verlag.

    Google Scholar 

  • Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211.

    Article  Google Scholar 

  • Armstrong, J. S., & Overton, T. S. (1977). Estimating nonresponse bias in mail surveys. Journal of Marketing Research, 14(3), 396–402.

    Article  Google Scholar 

  • Babin, B. J., Darden, W. R., & Griffin, M. (1994). Work and/or fun: measuring hedonic and utilitarian shopping value. Journal of Consumer Research, 20, 644–656.

    Article  Google Scholar 

  • Baker, J., Parasuraman, A., Grewal, D., & Voss, G. B. (2002). The influence of multiple store environment cues on perceived merchandise value and patronage intentions. Journal of Marketing, 66(2), 120–141.

    Article  Google Scholar 

  • Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173–1182.

    Article  Google Scholar 

  • Bart, Y., Shankar, V., Sultan, F., & Urban, G. L. (2005). Are the drivers and role of online trust the same for all web sites and consumers? A large-scale exploratory empirical study. Journal of Marketing, 69(4), 133–152.

    Article  Google Scholar 

  • Bateson, J. E. G. (1985). Self-service consumer: an exploratory study. Journal of Retailing, 61(3), 49–76.

    Google Scholar 

  • Baumgartner, H., & Steenkamp, J.-B. E. M. (1996). Exploratory consumer buying behavior: conceptualization and measurement. International Journal of Research in Marketing, 13(2), 121–137.

    Article  Google Scholar 

  • Berry, L. L. (1999). Discovering the soul of service. New York: Free.

    Google Scholar 

  • Berry, L. L., Seiders, K., & Grewal, D. (2002). Understanding service convenience. Journal of Marketing, 66(3), 1–17.

    Article  Google Scholar 

  • Bezjian-Avery, A., Calder, B., & Iacobucci, D. (1998). New media interactive advertising vs traditional advertising. Journal of Advertising Research, 38(4), 23–32.

    Google Scholar 

  • Bobbitt, L. M., & Dabholkar, P. A. (2001). Integrating attitudinal theories to understand and predict use of technology-based self-service. International Journal of Service Industry Management, 12(5), 423–450.

    Article  Google Scholar 

  • Brown, L. G. (1990). Convenience in services marketing. Journal of Service Marketing, 4(1), 53–59.

    Article  Google Scholar 

  • Byrne, B. M. (2001). Structural equation modeling with amos: basic concepts, applications, and programming. Mahwah: Erlbaum.

    Google Scholar 

  • Cambre, M. A., & Cook, D. L. (1985). Computer anxiety: definition, measurement, and correlates. Journal of Educational Computing Research, 1(1), 37–54.

    Article  Google Scholar 

  • Chandon, P., Wansink, B., & Laurent, G. (2000). A benefit congruency framework of sales promotion effectiveness. Journal of Marketing, 64(4), 65–81.

    Article  Google Scholar 

  • Childers, T. L., Carr, C. L., Peck, J., & Carson, S. (2001). Hedonic and utilitarian motivations for online retail shopping behavior. Journal of Retailing, 77(4), 511–535.

    Article  Google Scholar 

  • Collier, J. E., & Bienstock, C. C. (2006). Measuring service quality in e-retailing. Journal of Service Research, 8(3), 260–275.

    Article  Google Scholar 

  • Cronin, J. J., Brady, M. K., & Hult, G. T. M. (2000). Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intentions in service environments. Journal of Retailing, 76(2), 193–218.

    Article  Google Scholar 

  • Dabholkar, P. A. (1996). Consumer evaluations of new technology-based self-service options: an investigation of alternative models of service quality. International Journal of Research in Marketing, 13(1), 29–51.

    Article  Google Scholar 

  • Dabholkar, P. A., & Sheng, X. (2009). The role of perceived control and gender in consumer reactions to download delay. Journal of Business Research, 62(7), 756–760.

    Article  Google Scholar 

  • Dabholkar, P. A., Bobbitt, L. M., & Lee, E.-J. (2003). Understanding consumer motivation and behavior related to self-scanning in retailing. International Journal of Service Industry Management, 14(1), 59–95.

    Article  Google Scholar 

  • Doronina, O. V. (1995). Fear of computers: its nature, prevention, and cure. Russian Social Science Review, 36(4), 79–90.

    Google Scholar 

  • Durkin, M. (2004). In search of the internet banking customer. The International Journal of Bank Marketing, 22(7), 484–503.

    Article  Google Scholar 

  • Eagly, A. A., & Chaiken, S. (1993). Psychology of attitudes. Fort Worth: Harcourt Brace College.

    Google Scholar 

  • Eastlick, M. A., Lotz, S. L., & Warrington, P. (2006). Understanding online B-to-C relationships: an integrated model of privacy concerns, trust, and commitment. Journal of Business Research, 59(8), 877–886.

    Article  Google Scholar 

  • Egger, F. N. (2000). Trust me, I'm an online vendor: towards a model of trust for e-commerce system design. CHI2000 conference proceedings: conference on human factors in computing systems.

  • Eggert, A., & Ulaga, W. (2002). Customer perceived value: a substitute for satisfaction in business market? Journal of Business and Industrial Marketing, 17(2/3), 107–118.

    Article  Google Scholar 

  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models and unobservable variables and measurement error. Journal of Marketing Research, 18, 39–50.

    Article  Google Scholar 

  • Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: an integrated model. MIS Quarterly, 27(1), 51–90.

    Google Scholar 

  • Gehrt, K. C., & Yale, L. J. (1993). The dimensionality of the convenience phenomenon: a qualitative reexamimination. Journal of Business and Psychology, 8(2), 163–180.

    Article  Google Scholar 

  • Guedj, R. A., tenHagen, P. J. W., Hopgood, F. R., Tucker, H. A., & Duce, D. A. (1980). Methodology of Interaction. Amsterdam: New York: North-Holland.

    Google Scholar 

  • Ha, S., & Stoel, L. (2009). Consumer e-shopping acceptance: antecendents in a technology acceptance model. Journal of Business Research, 62(5), 565–571.

    Article  Google Scholar 

  • Harris, L. C., & Goode, M. H. M. (2004). The four levels of loyalty and the pivotal role of trust: a study of online service dynamics. Journal of Retailing, 80(2), 139–158.

    Article  Google Scholar 

  • Howard, M., & Worboys, C. (2003). Self-service—a contradiction in terms or customer-led choice? Journal of Consumer Behavior, 2(4), 382–392.

    Article  Google Scholar 

  • Jensen, J. F. (1998). Interactivity: tracing a new concept in media and communication studies. Nordicom Review, 19(1), 185–204.

    Google Scholar 

  • Johnson, D. S. (2007). Acheiving customer value from electronic channels through identity commitment, calculative commitment, and trust in technology. Journal of Interactive Marketing, 21(4), 2–22.

    Article  Google Scholar 

  • Kahn, B. E. (1995). Consumer variety seeking among goods and services: an integrative review. Journal of Retailing and Consumer Services, 2(3), 139–148.

    Article  Google Scholar 

  • Kerin, R. A., Jain, A., & Howard, D. J. (1992). Store shopping experience and consumer price-quality-value perceptions. Journal of Retailing, 68(4), 376–397.

    Google Scholar 

  • Korgaonkar, P. K., & Wolin, L. D. (1999). A multivariate analysis of web usage. Journal of Advertising Research, 39(2), 53–68.

    Google Scholar 

  • Kruglanski, A. W., & Freund, T. (1983). The freezing and unfreezing of lay-inferences: effects on impressional primacy, ethnic stereotyping, and numerical anchoring. Journal of Experimental Social Psychology, 19(5), 448–468.

    Article  Google Scholar 

  • Langeard, E., Bateson, J., Lovelock, C. H., & Eiglier, P. (1981). Service marketing: new insights from consumers and managers. Marketing science institute's report no. 81–104. Cambridge: Marketing Science Institute.

    Google Scholar 

  • Lee, M. K., & Turban, E. (2001). A trust model for consumer internet shopping. International Journal of Electronic Commerce, 6(1), 75–91.

    Google Scholar 

  • Lee, J., & Allaway, A. (2002). Effects of personal control on adoption of self-service technology innovations. Journal of Service Marketing, 16(6), 553–572.

    Article  Google Scholar 

  • Lee, G.-G., & Lin, H.-F. (2005). Added customer perceptions of e-service quality in online shopping. International Journal of Retail & Distribution Management, 33(2), 161–176.

    Article  Google Scholar 

  • Lee, K. C., Kang, I., & McKnight, D. H. (2007). Transfer from offline trust to key online perceptions: an empirical study. IEEE Transactions on Engineering Management, 54(4), 729–741.

    Article  Google Scholar 

  • Lindell, M. K., & Whitney, D. J. (2001). Accounting for common method variance in cross-sectional research designs. Journal of Applied Psychology, 86(1), 114–121.

    Article  Google Scholar 

  • Lombard, M., & Snyder-Dutch, J. (2001). Interactive Advertising and Presence: A Framework. Journal of Interactive Advertising, 1, (2): www.jiad.org.

  • Lovelock, C. H. (2001). Services Marketing: Prentice Hall.

  • Lovelock, C. H., & Young, R. F. (1979). Look to consumers to increase productivity. Harvard Business Review, 57(3), 168–178.

    Google Scholar 

  • Mathwick, C. (2002). Understanding the online consumer: a typology of online relational norms and behavior. Journal of Interactive Marketing, 16(1), 40–55.

    Article  Google Scholar 

  • Meuter, M. L., Ostrom, A. L., Bitner, M. J., & Roundtree, R. (2003). The influence of technology anxiety on consumer use and experiences with self-service technologies. Journal of Business Research, 56(11), 899–906.

    Article  Google Scholar 

  • Meuter, M. L., Ostrom, A. L., Roundtree, R. I., & Bitner, M. J. (2000). Self-service technologies: understanding customer satisfaction with technology-based service encounters. Journal of Marketing, 64, 50–64.

    Article  Google Scholar 

  • Mukherjee, A., & Nath, P. (2007). Role of electronic trust in online retailing. European Journal of Marketing, 41(9/10), 1173–1202.

    Article  Google Scholar 

  • Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory. New York: McGraw-Hill.

    Google Scholar 

  • Oliver, R. L., & Swan, J. E. (1989). Consumer perceptions of interpersonal equity and satisfaction in transactions: a field survey approach. Journal of Marketing, 53(2), 21–35.

    Article  Google Scholar 

  • Parasuraman, A., & Grewal, D. (2000). The impact of technology on the quality-value-loyalty chain: a research agenda. Journal of the Academy of Marketing Science, 28(1), 168–174.

    Article  Google Scholar 

  • Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7(3), 101–134.

    Google Scholar 

  • Pavlou, P. A., & Fygenson, M. (2006). Understanding and prediction electronic commerce adoption: an extension of the theory of planned behavior. MIS Quarterly, 30(1), 115–143.

    Google Scholar 

  • Pujari, D. (2004). Self-service with a smile? Self-service technology (SST) encounters among canadian business to business. International Journal in Service Industry Management, 15(2), 200–219.

    Article  Google Scholar 

  • Rust, R. T., & Oliver, R. L. (1994). Service quality: new directions in theory and practice. Thousand Oaks: Sage.

    Google Scholar 

  • Sweeney, J. C., Soutar, G. N., & Johnson, L. W. (1999). The role of perceived risk in the quality-value relationship: a study in a retail environment. Journal of Retailing, 75(1), 77–105.

    Article  Google Scholar 

  • Tam, J. L. M. (2004). Customer satisfaction, service quality, and perceived value: an integrative model. Journal of Marketing Management, 20(7–8), 897–917.

    Article  Google Scholar 

  • Tax, S. S., Brown, S. W., & Chandrashekaran, M. (1998). Customer evaluations of service complaint experiences: implications for relationship marketing. Journal of Marketing, 62, 60–76.

    Article  Google Scholar 

  • Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: a test of competing models. Information Systems Research, 6(2), 144–176.

    Article  Google Scholar 

  • Triandis, H. C. (1979). Values, attitudes, and interpersonal behavior. In Nebraska symposium on motivation. Lincoln, NE: University of Nebraska Press, pp. 195–259.

  • Venkatesh, V. (2000). Determinants of perceived ease of use: integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11(4), 342–365.

    Article  Google Scholar 

  • Walker, R. H., Craig-Lees, M., Hecker, R., & Francis, H. (2002). Technology-enabled service delivery. International Journal of Service Industry Management, 13(1), 91–106.

    Article  Google Scholar 

  • Yang, S.-C., Hung, W.-C., Sung, K., & Farn, C.-K. (2006). Investigating initial trust toward e-tailers from the elaboration likelihood model perspective. Psychology and Marketing, 23(5), 429–445.

    Article  Google Scholar 

  • Yen, H. J. R., & Gwinner, K. P. (2003). Internet retail customer loyalty: the mediating role of relational benefits. International Journal of Service Industry Management, 14(5), 483–500.

    Article  Google Scholar 

  • Yoon, S.-J. (2002). The antecedents and consequences of trust in online purchase decisions. Journal of Interactive Marketing, 16(2), 47–63.

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Zhu, Z. (2002). Fix it or Leave it: Antecedents and consequences of perceived control in technology-based self-service failure encounters. Doctoral dissertation. University of Illinois at Chicago, Chicago.

  • Zhu, Z., Nakata, C., Sivakumar, K., & Grewal, D. (2007). Self-service technology effectiveness: the role of design features and individual traits. Journal of the Academy of Marketing Science, 35(4), 492–506.

    Article  Google Scholar 

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Correspondence to Joel E. Collier.

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Collier, J.E., Sherrell, D.L. Examining the influence of control and convenience in a self-service setting. J. of the Acad. Mark. Sci. 38, 490–509 (2010). https://doi.org/10.1007/s11747-009-0179-4

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