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Does service convenience matter? An empirical assessment of service quality, service convenience and exchange relationship in electronic mediated environment

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Abstract

This study examines, from the consumer centric perspective, how service convenience in conjunction with online service quality affect long-term relational exchange in the electronic mediated environment (EME). Service convenience is conceptualized as a second order formative construct with six convenience dimensions demonstrating the process of online service consumption. An analytical framework is developed and tested to validate a comprehensive research model of service convenience and its antecedents and consequents. Analysis of data from 772 respondents revealed that service convenience is indeed a multidimensional formative concept and contributes to long-term exchange relationship between the consumers and service providers. Implication and future research is discussed.

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References

  • Ahuja, M., Gupta, B., & Raman, P. (2003). An empirical investigation of online consumer purchasing behavior. Communications of ACM, 46(12), 145–151.

    Google Scholar 

  • Aladwani, A. M. (2001). Online banking: A field study of drivers, development challenges, and expectations. International Journal of Information Management, 21(3), 213–225.

    Google Scholar 

  • Anderson, E. (1998). Customer satisfaction and word-of-mouth. Journal of Service Research, 1(1), 5–17.

    Google Scholar 

  • Ba, S., & Johansson, W. C. (2008). An exploratory study of the impact of e-service process on online customer satisfaction. Production and Operations Management, 17(1), 107–119.

    Google Scholar 

  • Baker, J., Grewal, D., & Parasuraman, A. (1994). The influence of store environment on quality inferences and store image. Journal of the Academy of Marketing Science, 22(4), 328–339.

    Google Scholar 

  • Bardhan, I., Demirkan, H., Kannan, P. K., Kauffman, R. J., & Sougstad, R. (2010). An interdisciplinary perspective on IT services management and services science. Journal of Management Information Systems, 26(4), 13–65.

    Google Scholar 

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

    Google Scholar 

  • Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351–370.

    Google Scholar 

  • Bitner, M.J. (1990). Evaluating service encounters: The effects of physical surroundings and employee responses. Journal of Marketing (54), 69–82.

  • Bitner, M. J., Brown, W. S., & Meuter, M. L. (2000). Technology infusion in service encounters. Journal of the Academy of Marketing Science, 28(1), 38–49.

    Google Scholar 

  • Bolton, R. N., & Drew, J. H. (1991). A longitudinal analysis of the impact of service changes on customer attitudes. Journal of Marketing, 55, 1–9.

    Google Scholar 

  • Bolton, R. N., Kannan, P. K., & Bramlett, B. M. (2000). Implications of loyalty program membership and service experiences for customer retention and value. Journal of the Academy of Marketing Science, 28(1), 95–108.

    Google Scholar 

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

    Google Scholar 

  • Buckley, J. (2003). E-service quality and the public sector. Managing Service Quality, 13(6), 453–462.

    Google Scholar 

  • Carrillat, F., Jaramillo, F., & Mulki, J. (2009). Examining the impact of service quality: A meta-analysis of empirical evidence. Journal of Marketing Theory and Practice, 17(20), 95–110.

    Google Scholar 

  • Chang, H., & Chen, S. (2010). Consumer perception of interface quality, security, and loyalty in electronic commerce. Information and Management, 46, 411–417.

    Google Scholar 

  • Chen, P. Y. S., & Hitt, L. M. (2002). Measuring switching costs and the determinants of customer retention in Internet-enabled businesses: A study of the online brokerage industry. Information Systems Research, 13(3), 255–274.

    Google Scholar 

  • Chesbrough, H., & Spohrer, J. (2006). A research manifesto for services science. Communications of the ACM, 49(7), 35–40.

    Google Scholar 

  • Chin, W. W. (1998). Issues and opinion on structural equation modeling. MIS Quarterly, 22(1), 7–16.

    Google Scholar 

  • Chin, W. W., & Todd, P. A. (1995). On the use, usefulness, and ease of use of structural equation modeling in MIS research: A note of caution. MIS Quarterly, 19(2), 237–246.

    Google Scholar 

  • Chin, W. W., Marcolin, B., & Newsted, P. (2003). A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and an electronic mail adoption study. Information Systems Research, 14(2), 189–217.

    Google Scholar 

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

    Google Scholar 

  • Collier, J. E., & Kimes, S. E. (2013). Only if it is convenient understanding how convenience influences self-service technology evaluation. Journal of Service Research, 16(1), 39–51.

    Google Scholar 

  • Compaine, B. M., & Weinraub, M. J. (1997). Universal access to online services: an examination of the issue. Telecommunications Policy, 21(1), 15–33.

    Google Scholar 

  • Cyr, D., Head, M., & Ivanov, A. (2006). Design aesthetics leading to m-loyalty in mobile commerce. Information and Management, 43(8), 950–963.

    Google Scholar 

  • Dai, H., & Salam, A. F. (2010). An Integrative Framework of Service Convenience, Service Consumption Experience, and Relational Exchange in Electronic Mediated Environment (EME). Proceedings of the International Conference on Information Systems (ICIS), St. Louis, Missouri, Dec. 2010.

  • Dai, H., Salam, A.F., and King, R. C. (2008). Service Convenience, Service Consumption Experience, and Relational Exchange in Electronic Mediated Environment. Proceedings of the International Conference on Information Systems (ICIS), Paris, France, Dec. 2008.

  • Dai, H., Haried, P., & Salam, A. (2011). Antecedents of online service quality, commitment and loyalty. The Journal of Computer Information Systems, 52(2), 1–11.

    Google Scholar 

  • De Ruyter, K., Moorman, L., & Lemmink, J. (2001). Antecedents of commitment and trust in customer-supplier relationships in high technology markets. Industrial Marketing Management, 30(3), 271–286.

    Google Scholar 

  • Dennis, A. R., & Taylor, N. J. (2006). Information foraging on the web: The effects of “acceptable” internet delays on multi-page information search behavior. Decision Support Systems, 42(2), 810–824.

    Google Scholar 

  • Diamantopoulos, A., & Winklhofer, H. M. (2001). Index construction with formative indicators: An alternative to scale development. Journal of Marketing Research, 38(2), 269–277.

    Google Scholar 

  • Doll, W. J., & Torkzadeh, G. (1998). The measurement of end-user computing satisfaction. MIS Quarterly, 12(2), 259–274.

    Google Scholar 

  • Dwyer, F. R., Schurr, P. H., & Oh, S. (1987). Developing buyer-seller relationships. The Journal of marketing, 11–27.

  • Etgar, M. (1978). The household as a production unit. Research in Marketing, 1, 79–98.

    Google Scholar 

  • Éthier, J., Hadaya, P., Talbot, J., & Cadieux, J. (2006). B2C web site quality and emotions during online shopping episodes: An empirical study. Information and Management, 43, 627–639.

    Google Scholar 

  • Farquhar, J. D., & Rowley, J. (2009). Convenience: A services perspective. Marketing Theory, 9(4), 425–438.

    Google Scholar 

  • Fassnacht, M., & Koese, I. (2006). Quality of electronic services: Conceptualizing and testing hierarchical model. Journal of Service Research, 9(1), 19–37.

    Google Scholar 

  • Fornell, C., & Larcker, V. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.

    Google Scholar 

  • Galletta, D. F., Henry, R. M., McCoy, S., & Polak, P. (2006). When the wait isn’t so bad: The interacting effects of website delay, familiarity, and breadth. Information Systems Research, 17(1), 20–37.

    Google Scholar 

  • Garbarino, E., & Johnson, M. S. (1999). The different roles of satisfaction, trust, and commitment in customer relationships. Journal of Marketing, 63, 70–87.

    Google Scholar 

  • Gefen, D. (2002). Customer loyalty in e-commerce. Journal of the Association for Information Systems, 3, 27–51.

    Google Scholar 

  • Giere, J., Wirtz, B., & Schilke, O. (2006). Mehrdimensionale konstrukte: Konzeptionelle grundlagen und Möglichkeiten ihrer analyse mithilfe von strukturgleichungsmodellen. Betriebswirtschaftliche, 66(6), 678–695.

    Google Scholar 

  • Grönroos, C. (1990). Service management and marketing. Lexington: Lexington Books.

    Google Scholar 

  • Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate data analysis. New Jersey: Prentice Hall.

    Google Scholar 

  • Harrison-Walker, L. J. (2001). The measurement of word-of-mouth communication and an investigation of service quality and customer commitment as potential antecedents. Journal of Service Research, 4(1), 60–75.

    Google Scholar 

  • Heijden, H. V. D. (2004). User acceptance of hedonic information systems. MIS quarterly 695–704.

  • Heijden, H. V. D., Verhagen, T., & Creemers, M. (2003). Understanding online purchase intentions: Contributions from technology and trust perspectives. European Journal of Information Systems, 12, 41–48.

    Google Scholar 

  • Hirschman, E. C., & Holbrook, M. B. (1982). Hedonic consumption: Emerging concepts, methods and propositions. Journal of Marketing, 46(3), 92–101.

    Google Scholar 

  • Holbrook, B. (2006). Consumption experience, customer value, and subjective personal introspection: An illustrative photographic essay. Journal of Business Research, 59(6), 714–725.

    Google Scholar 

  • Holloway, B., & Beatty, S. (2003). Service failure in online retailing: A recovery opportunity. Journal of Service Research, 6(1), 92–105.

    Google Scholar 

  • Jiang, Z., & Benbasat, I. (2007). Investigating the influence of the functional mechanisms of online product presentations. Information Systems Research, 18(4), 454–470.

    Google Scholar 

  • Johnston, R. (1995). The determinants of service quality: Satisfiers and dissatisfiers. International Journal of Service Industry Management, 6(5), 53–71.

    Google Scholar 

  • Keh, H., & Pang, J. (2010). Customer reactions to service separation. Journal of Marketing, 74(2), 55–70.

    Google Scholar 

  • Kennedy, P. A. (2003). Guide to econometrics (5th ed.). Boston: MIT Press.

    Google Scholar 

  • Kim, S., & Son, J. (2009). Out of dedication or constraint? A dual model of post-adoption phenomena and empirical test in the context of online services. MIS Quarterly, 33(1), 49–70.

    Google Scholar 

  • Kohler, T., Fueller, J., Matzler, K., & Stieger, D. (2011). Co-creation in virtual worlds: The design of the user experience. MIS Quarterly, 35(3), 773–788.

    Google Scholar 

  • Kolter, P., & Zaltman, G. (1971). Social marketing: An approach to planned social change. Journal of Marketing, 35, 3–12.

    Google Scholar 

  • Lee, Y., Chen, A. N. K., & Llie, V. (2012). Can online wait be managed? The effect of filler interfaces and presentation modes on perceived waiting time online. MIS Quarterly, 36(2), 365–394.

    Google Scholar 

  • Lin, H. H., & Wang, Y. S. (2006). An examination of the determinants of customer loyalty in mobile commerce contexts. Information and management. Information and Management, 43(3), 271–282.

    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.

    Google Scholar 

  • Lociacono, E., Watson, R.T. and Goodhue, D. (2000). WebQual: A web site quality instrument. Working paper, Worcester Polytechnic Institute.

  • Lovelock, C., & Gummesson, E. (2004). Whither services marketing? In search of a new paradigm and fresh perspective. Journal of Service Research, 7(1), 20–41.

    Google Scholar 

  • Luo, J., Ba, S., & Zhang, H. (2012). The effectiveness of online shopping characteristics and well-designed websites on satisfaction. MIS Quarterly, 36(4), 1131–1144.

    Google Scholar 

  • Luong, A. (2005). Affective service display and customer mood. Journal of Service Research, 8(2), 117–130.

    Google Scholar 

  • Macys.com (2014), URL available at www.macysinc.com/pressroom. Accessed 24 July 2014.

  • Mathwick, C., Malhotra, N. K., & Rigdon, E. (2001). Experiential value: Conceptualization, measurement and application in the catalog and internet shopping environment. Journal of Retailing, 77(1), 39–56.

    Google Scholar 

  • McCollough, M. A., Berry, L., & Yadav, M. (2000). An empirical investigation of customer satisfaction after service failure and recovery. Journal of Service Research, 2, 121–137.

    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), 192–222.

    Google Scholar 

  • Nickols, S. Y., & Fox, K. D. (1983). Buying time and saving time: Strategies for managing household production. Journal of Consumer Research, 10, 197–208.

    Google Scholar 

  • Novak, T. P., Hoffman, D. L., & Yung, Y. F. (2000). Measuring the customer experience in online environments: A structural modeling approach. Marketing science, 19(1), 22–42.

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

    Google Scholar 

  • Nunnaly, N. C. (1978). Psychometric theory. New York: McGraw Hill.

    Google Scholar 

  • Oliver, R. L. (1999). Whence consumer loyalty. Journal of Marketing, 63, 33–44.

    Google Scholar 

  • Oliver, R. (1992). An Investigation of the Attribute Basis of Emotion and Related Affects in Consumption: Suggestions for a Stage-Specific Satisfaction Framework. In Advances in consumer research, 19 Eds. John F. Sherry and Brian Sternthal. Ann Arbor, MI: Association for Consumer Research. (pp. 237–244).

  • Ozment, J., & Morash, E. A. (1994). The augmented service offering for perceived and actual service quality. Journal of the Academy offering for perceived and actual service quality. Journal of the Academy of Marketing Science, 22(4), 352–363.

  • Palmer, J. (2002). Web site usability, design, and performance metrics. Information Systems Research, 1(2), 151–167.

    Google Scholar 

  • Parasuraman, A. (2000). Technology readiness index (TRI) a multiple-item scale to measure readiness to embrace new technologies. Journal of Service Research, 2(4), 307–320.

    Google Scholar 

  • Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985). A conceptual model of service quality and its implications for future research. Journal of Marketing, 49, 41–50.

    Google Scholar 

  • Parasuraman, A., Valarie, A. Z., & Malhotra, A. (2005). E-S-QUAL: A multiple-item scale for assessing electronic service quality. Journal of Service Research, 7(3), 213–233.

    Google Scholar 

  • Parboteeah, D., Valacich, J., & Wells, J. (2009). The influence of website characteristics on a consumer’s urge to buy impulsively. Information Systems Research, 20(1), 60–78.

    Google Scholar 

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

    Google Scholar 

  • Pavlou, P. A., & Gefen, D. (2005). Building effective online marketplaces with institution-based trust. Information Systems Research, 15(1), 37–59.

    Google Scholar 

  • Pavlou, P. A., Liang, H., & Xue, Y. (2007). Understanding and mitigating uncertainty in online exchange relationships: A principal-agent perspective. MIS Quarterly, 31(1), 105–136.

    Google Scholar 

  • Pavlou, P., Dimoka, A. and Housel, T. (2008). Effective use of collaborative IT tools: Nature, antecedents, and consequences. Proceedings of the 41st HICSS Conference, 55–65.

  • Petter, S., Straub, D., & Rai, A. (2007). Specifying formative constructs in information systems research. MIS Quarterly, 31(4), 623–656.

    Google Scholar 

  • Podsakoff, P. M., & Organ, D. W. (1986). Self-reports in organizational research: Problems and prospects. Journal of Management, 12(4), 531–544.

    Google Scholar 

  • Reicheld, F. (2003). The one number you need to grow. Harvard Business Review, 81(12), 46–54.

    Google Scholar 

  • Reichheld, F., & Schefter, P. (2000). E-loyalty. Harvard Business Review, 78(4), 105–114.

    Google Scholar 

  • Richins, M. L. N. (1983). Word-of-mouth by dessatisfied consumers: A pilot study. Journal of Marketing, 47, 68–78.

    Google Scholar 

  • Ringle, C., Wende, M., and Sven, A., SmartPLS 2.0, http://www.smartpls.de. 2005.

  • Roberts, K., Varki, S., & Brodie, R. (2003). Measuring the quality of relationships in consumer services: An empirical study. European Journal of Marketing, 37(1–2), 169–196.

    Google Scholar 

  • Rose, G. M., & Straub, D. (2001). The effect of download time on consumer attitude toward the e-service retailer. E-Service Journal, 1(1), 55–76.

    Google Scholar 

  • Rose, G. M., Meuter, M. L., & Curran, J. M. (2005). On-line waiting; The role of download time and other important predictors on attitude toward e-retailers. Psychology and Marketing, 22(2), 27–151.

    Google Scholar 

  • Rosenfeld, L., & Morville, P. (2002). Information architecture for the World Wide Web (2nd ed.). Sebastopol California: O’Reilly & Associates Inc.

    Google Scholar 

  • Rust, R. T., & Kannan, P. K. (2003). E-Service: A new paradigm for business in the electronic environment. Communications of the ACM, 46(5), 37–42.

    Google Scholar 

  • Seiders, K., Berry, L. L., & Gresham, L. (2000). Attention retailers: How convenient is your convenience strategy? Sloan Management Review, 49(3), 79–90.

    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.

    Google Scholar 

  • Setia, P., Venkatesh, V., & Joglekar, S. (2013). Leveraging digital technologies: How information quality leads to localized capabilities and customer service performance. MIS Quarterly, 37(2), 565–590.

    Google Scholar 

  • Shim, J. P., Shin, Y. B., & Nottingham, L. (2002). Retailer web site influence on customer shopping: An exploratory study on key factors of customer satisfaction. Journal of the Association for Information Systems, 53(76), 76.

    Google Scholar 

  • Skadberg, Y. X., & Kimmel, J. R. (2004). Visitors’ flow experience while browsing a Web site: its measurement, contributing factors and consequences. Computers in human behavior, 20(3), 403–422.

  • Sousa, R., & Voss, C. (2006). A service quality in multichannel services employing virtual channels. Journal of Service Research, 8(4), 356–371.

    Google Scholar 

  • Srinivasan, S. S., Anderson, R., & Ponnavolu, K. (2002). Customer loyalty in e-commerce. Journal of Retailing, 78, 41–50.

    Google Scholar 

  • Straub, D. W. (1989). Validating instruments in MIS research. MIS Quarterly, 12(2), 147–169.

    Google Scholar 

  • Straub, D. W., & Carlson, C. L. (1989). Validating instruments in MIS Research. MIS Quarterly, 13(2), 147–166.

    Google Scholar 

  • Szymanski, D. M., & Hise, R. T. (2000). E-satisfaction: An initial examination. Journal of Retailing, 76(3), 309–322.

    Google Scholar 

  • Tan, C. Benbasat, I., Cenfetelli, R.T. (2007). Understanding the antecedents and consequences of e-government service quality: An empirical investigation. Proceedings of Twenty Eighth International Conference on Information Systems, Montreal.

  • Tan, C. W., Benbasat, I., & Cenfetelli, R. T. (2013). IT-mediated customer service content and delivery in electronic governments: An empirical service quality. MIS Quarterly, 37(1), 77–109.

    Google Scholar 

  • Tarafdar, M., & Zhang, J. (2007). Determinants of reach and loyalty — A study of website performance and implications for website design. The Journal of Computer Information Systems, 48(2), 16–24.

    Google Scholar 

  • Turel, O., Serenko, A., & Bontis, N. (2010). User acceptance of hedonic digital artifacts: A theory of consumption values perspective. Information and Management, 47, 53–59.

    Google Scholar 

  • Vargo, S. L. (2011). Market systems, stakeholders and value propositions: Toward a service-dominant logic-based theory of the market. European Journal of Marketing, 45(1–2), 217–222.

    Google Scholar 

  • Vargo, S. L., & Lusch, R. F. (2004). The four service marketing myths: Remnants of a goods-based, manufacturing model. Journal of Service Research, 6, 324–335.

    Google Scholar 

  • Vargo, S. L., & Lusch, R. F. (2006). Service-dominant logic: What it is, what it is not, what it might be. In R. F. Lusch & S. L. Vargo (Eds.), The service-dominant logic of marketing: Dialog, debate and directions (pp. 43–56). Armonk: M.E. Sharpe Inc.

    Google Scholar 

  • Werts, C. E., Linn, R. L., & Jöreskog, K. G. (1974). Interclass reliability estimates: Testing structural assumptions. Educational and Psychological Measurement, 34, 25–33.

    Google Scholar 

  • Wixom, B. H., & Todd, P. A. (2005). A theoretical integration of user satisfaction and technology acceptance. Information Systems Research, 16(1), 85–102.

    Google Scholar 

  • Yale, L., & Venkatesh, A. (1986). Toward the construct of convenience in consumer research. Advances in Consumer Research, 13, 403–408.

    Google Scholar 

  • Zeithaml, V. A. (1998). Consumer perceptions of price, quality, and value: A means-end model and synthesis of evidence. Journal of Marketing, 52, 2–22.

    Google Scholar 

  • Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1996). The behavioral consequences of service quality. Journal of Marketing, 60, 31–61.

    Google Scholar 

  • Zeithaml, V. A., Parasuraman, A., & Malhotra, A. (2000). Eservice quality: Definition, dimensions, and conceptual model, working paper. Cambridge: Marketing Science Institute.

    Google Scholar 

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Appendix 1

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Table 5 Measurement items, mean, SD and factor loadings for principal constructs

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Dai, H., Salam, A.F. Does service convenience matter? An empirical assessment of service quality, service convenience and exchange relationship in electronic mediated environment. Electron Markets 24, 269–284 (2014). https://doi.org/10.1007/s12525-014-0170-x

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