Abstract
In this paper, we asses how service channel perceptions affect channel choice and channel usage. Building on communication theories, such as the Media Richness Theory, we explore how different channel characteristics are perceived by citizens in a Dutch governmental service chain. The results of our study show that channel perceptions are variable along with channel usage (experience) and personal characteristics. This proves that the straightforward task-channel fit as suggested in some multi-channel management models is too simplistic. Besides the fact that theoretically some channels are better suited for particular types of services, multi-channel models should pay attention to the variances in channel perceptions. These insights are highly relevant for the design of the multi-channel and marketing strategies in order to seduce citizens to use the preferred service channels.
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References
Pieterson, W., van Dijk, J.: Governmental Service Channel Positioning. In: presented at Fifth International EGOV Conference 2006, Krakow, Poland (2006)
Ebbers, W., Pieterson, W., Noordman, H.: Rethinking Service and Channel Strategies after the Hype. In: Makolm, J., Orthofer (eds.) ETaxation State & Perspectives. Trauner Druck, Linz (2007)
Neslin, S.A., Grewal, D., Leghorn, R., Shankar, V., Teerling, M.L., Thomas, J.S., Verhoef, P.C.: Challenges and Opportunities in Multichannel Customer Management. Journal of Service Research 9, 1–18 (2006)
Berman, B.: Marketing Channels. Wiley & Sons, New York (1996)
Daft, R.L., Lengel, R.H.: Organizational Information Requirements, Media Richness and Structural Design. Management Science 32, 554–571 (1986)
Fulk, J., Schmitz, J., Steinfeld, C.W.: A Social Influence model of technology use. In: Fulk, J., Steinfeld, C.W. (eds.) Organizations and Communication technology. Sage Publications, Newbury Park (1990)
Carlson, J.R., Zmud, R.W.: Channel Expansion theory and the Experimental Nature of Media Richness Perceptions. The Academy of Management Journal 42, 153–170 (1999)
Hasty, B.K., Massey, A.P., Brown, S.A.: Role-Based Experiences, Media Perceptions and Knowledge Transfer Succes in Virtual Dyads. Group Decision And Negotiation 15, 367–387 (2006)
El-Shinnawy, M., Markus, M.L.: Acceptance of Communication Media in Organizations: Richness of Features? IEEE transactions on professional communication 41, 242–253 (1998)
Daft, R.L., Wiginton, J.: Language and Organization. Academy of Managament Review 4, 179–191 (1979)
Trevino, L.K., Webster, J., Stein, E.W.: Making Connections: Complementary Influences on Communication Media Choices, Attitudes, and Use. Organization Science 11, 163–182 (2000)
Jackson, M.H., Purcell, D.: Politics and Media Richness in World Wide Web Representations of the Former Yugoslavia. The Geographical Review 87, 219–239 (1997)
Suh, K.S.: Impact of Communication Medium on Task-Performance and Satisfaction: An Examination of Media-Richness Theory. Information & Management 35, 295–312 (1999)
Dennis, A.R., Kinney, S.T.: Testing Media Richness Theory in the New Media: The effects of Cues, Feedback, and Task Equivocality. Information Systems Research 9, 256–274 (1998)
Alba, J., Lynch, J., Weitz, B., Janiszewski, C., Lutz, R., Wood, S.: Interactive Home Shopping: Consumer, Retailer and Manufacturer Incentives to Participate in Electronic Marketplaces. Journal of Marketing 61, 38–53 (1997)
Reeves, C.A., Bednar, D.A.: Keys to market success - a response and another view. Journal of Retail Banking Services 18, 33–40 (1996)
Balasubramanian, S., Raghunathan, R., Mahajan, V.: Consumers in a multichannel environment: Product Utility, Process Utility and Channel Choice. Journal of Interactive Marketing 19, 12–30 (2005)
Kwast, M.L., Martha, S., Wolken, J.D.: Market Definition and The Analysis of Antitrust in Banking. Antitrust Bulletin 42, 973–995 (1998)
Broekhuizen, T.L.J.: Understanding Channel Purchase Intentons: Measuring Online and Offline Value Perceptions (PhD. Dissertation University of Groningen). Labyrint Publication, Ridderkerk (2006)
Verhoef, P.C., Neslin, S.A., Vroomen, B.: Multichannel Customer Management: Understanding the Research-Shopper Phenomenon. International Journal of Research in Marketing 24, 129–148 (2007)
Davis, F.D.: Perceived Usefulness, Perceived Ease of Use and User Acceptance of Information Technology. MIS Quarterly, 318–340 (September 1989)
Chaing, W.K., Zhang, D., Zhou, L.: Predicting and explaining patronage behavior toward web and traditional stores using neural networks: a comparative analysis with logistic regression. Decision Support Systems 42, 514–531 (2004)
Keen, C., Martin, W., Ko de, R., Richard, F.: E-Tailers versus Retailers. Which Factors Determine Consumers Preferences. Journal of Business Research 57, 685–695 (2004)
Montoya-Weiss, M.M., Voss, G.B., Grewal, D.: Determinants of Online Channel Use and Overall Satisfaction with a Relational Multichannel Service Provider. Journal of the Academy of Marketing Science 31, 448–458 (2003)
Lee, A.S.: Electronic Mail As A Medium For Rich Communication – An Empirical-Investigation Using Hermeneutic Interpretation. Mis Quarterly 18, 143–157 (1994)
Pieterson, W., Ebbers, W.: The Multi-Channel Citizen: A Study of the Use of Service Channels in the Netherlands. In: Wimmer, M.A., Scholl, J., Grönlund, Å. (eds.) EGOV 2007. LNCS, vol. 4656. Springer, Heidelberg (2007)
Reddick, C.G.: Citizen Interaction with E-government: From the Streets to Servers. Government Information Quarterly 22, 38–57 (2005)
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Pieterson, W., Teerling, M., Ebbers, W. (2008). Channel Perceptions and Usage: Beyond Media Richness Factors. In: Wimmer, M.A., Scholl, H.J., Ferro, E. (eds) Electronic Government. EGOV 2008. Lecture Notes in Computer Science, vol 5184. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85204-9_19
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DOI: https://doi.org/10.1007/978-3-540-85204-9_19
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