Electronic Markets

, Volume 22, Issue 4, pp 243–254 | Cite as

Performance implications of internet channels in financial services: A comprehensive perspective

Special Theme

Abstract

Advances in information technology (IT) have forced financial services firms to explore new organizational forms and deliver service innovation. Given the obvious differences in the business model in which the financial services sector provides online services, it is natural to ask whether the emergence of Internet channels leads to superior achievement. Using a sample of twenty-four Taiwanese publicly traded financial services firms from 1997 to 2003, this empirical study attempts to assess the Internet channel’s effect on firm performance by means of applying event study methodology and data envelopment analysis. Results show that the magnitudes of average abnormal returns are uniformly positive and increase the operating efficiency of firms following announcements via Internet channels. This work therefore concludes that Internet channels have positive influences on firm performance.

Keywords

Event study Internet channels Data Envelopment Analysis (DEA) Performance implications 
JEL classification M31—Marketing L81—Retail and Wholesale Trade; e-Commerce 

Notes

Acknowledgements

This research project was sponsored by the Taiwan National Science Council (NSC 100-2410-H-126-006-) and supported in part by the School of Management, Providence University.

References

  1. Agrawal, J., & Kamakura, W. A. (1995). The economic worth of celebrity endorsers: An event study analysis. Journal of Marketing, 59(3), 56–62.CrossRefGoogle Scholar
  2. Ali, A. I., & Gstach, D. (2000). The impact of deregulation during 1990–1997 on banking in Austria. Empirica, 27(3), 265–281.CrossRefGoogle Scholar
  3. Anderson, E. W., Fornell, C., & Mazvanchery, S. K. (2004). Customer satisfaction and shareholder value. Journal of Marketing, 68(4), 172–185.CrossRefGoogle Scholar
  4. Avery, J., Steenburgh, T. J., Deighton, J., & Caravella, M. (2012). Adding bricks to clicks: Predicting the patterns of cross-channel elasticities over time. Journal of Marketing, 76(3), 96–111.CrossRefGoogle Scholar
  5. Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30(9), 1078–1092.CrossRefGoogle Scholar
  6. Boehm, M. (2008). Determining the impact of Internet channel use on a customer’s lifetime. Journal of Interactive Marketing, 22(3), 2–22.CrossRefGoogle Scholar
  7. Buschken, J. (2007). Determinants of brand advertising efficiency: evidence from the German car market. Journal of Advertising, 36(3), 51–73.CrossRefGoogle Scholar
  8. Castellacci, F., & Zheng, J. (2010). Technological regimes, Schumpeterian patterns of innovation and firm-level productivity growth. Industrial and Corporate Change, 19(6), 1829–1865.CrossRefGoogle Scholar
  9. Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision-making units. European Journal of Operational Research, 2(6), 429–444.CrossRefGoogle Scholar
  10. Chen, Y., Ganesan, S., & Liu, Y. (2009). Does a firm’s product-recall strategy affect its financial value? An examination of strategic alternatives during product-harm crises. Journal of Marketing, 73(6), 214–226.CrossRefGoogle Scholar
  11. Cheng, J. M.-S., Tsao, S.-M., Tsai, W.-H., & Tu, H. H.-J. (2007). Will eChannel additions increase the financial performance of the firm? The evidence from Taiwan. Industrial Marketing Management, 36(1), 50–57.CrossRefGoogle Scholar
  12. Choudhury, V., & Karahanna, E. (2008). The relative advantage of electronic channels: A multidimensional view. MIS Quarterly, 32(1), 179–200.Google Scholar
  13. Christiaanse, E., & Zimmerman, R. (1999). Managing electronic channels: The KLM cargo cyberpets case. Journal of Information Technology, 14(2), 123–135.CrossRefGoogle Scholar
  14. Dewan, S., & Ren, F. (2007). Risk and return of information technology initiatives: Evidence from electronic commerce announcements. Information Systems Research, 18(4), 370–394.CrossRefGoogle Scholar
  15. Eggert, A., Ulaga, W., & Hollmann, S. (2009). Benchmarking the impact of customer share in key-supplier relationships. The Journal of Business and Industrial Marketing, 24(3/4), 154–160.CrossRefGoogle Scholar
  16. Fama, E. F. (1970). Efficient capital markets: A review of theory and empirical work. Journal of Finance, 25(2), 383–417.CrossRefGoogle Scholar
  17. Fama, E. F., Fisher, L., Jensen, M. C., & Roll, R. (1969). The adjustment of stock prices to new information. International Economic Review, 10(1), 1–21.CrossRefGoogle Scholar
  18. Geyskens, I., Gielens, K., & Dekimpe, M. G. (2002). The marketing valuation of internet channel addition. Journal of Marketing, 66(2), 102–119.CrossRefGoogle Scholar
  19. Ghapanchi, A. H., & Aurum, A. (2012). Competency rallying in electronic markets: implications for open source project success. Electronic Markets, 22(1), 117–127.CrossRefGoogle Scholar
  20. Haugland, S. A., Myrtveit, I., & Nygaard, A. (2007). Market orientation and performance in the service industry: A data envelopment analysis. Journal of Business Research, 60(11), 1191–1197.CrossRefGoogle Scholar
  21. Hulland, J., Wade, M. R., & Antia, K. D. (2007). The impact of capabilities and prior investments on online channel commitment and performance. Journal of Management Information Systems, 23(4), 109–142.CrossRefGoogle Scholar
  22. Jeong, J., & Yoo, C. Y. (2011). Deceptive advertising and abnormal stock returns: An event study analysis. International Journal of Advertising, 30(3), 509–535.CrossRefGoogle Scholar
  23. Johnson, D. S. (2008). Beyond trial: Consumer assimilation of electronic channels. Journal of Interactive Marketing, 22(2), 28–44.CrossRefGoogle Scholar
  24. Jih, W. J., Lee, S. F., & Tsai, Y. C. (2010). Effects of website Interactivity on e-loyalty: A social exchange perspective. International Journal of E-Business Research, 6(4), 1–12.CrossRefGoogle Scholar
  25. Kassim, N. M., & Abdullah, N. A. (2008). Customer loyalty in e-commerce settings: An empirical study. Electronic Markets, 18(3), 275–290.CrossRefGoogle Scholar
  26. Kauffman, R. J., & Weber, B. W. (2002). Introduction to the special issue on advances in research on information technologies in the financial services industry. Journal of Organizational Computing and Electronic Commerce, 12(1), 1–4.CrossRefGoogle Scholar
  27. Kimbrough, M. D., McAlister, L., Mizik, N., Jacobson, R., Garmaise, M. J., Srinivasan, S., & Hanssens, D. M. (2009). Commentaries and rejoinder to “marketing and firm value: Metrics, methods, findings, and future directions. Journal of Marketing Research, 46(3), 313–329.CrossRefGoogle Scholar
  28. King, S. F., & Liou, J.-S. (2004). A framework for internet channel evaluation. International Journal of Information Management, 24(6), 473–488.CrossRefGoogle Scholar
  29. Kumar, M. V. S. (2011). Are joint ventures positive sum games? The relative effects of cooperative and noncooperative behaviour. Strategic Management Journal, 32(1), 32–54.CrossRefGoogle Scholar
  30. Lee, C.-Y., & Johnson, A. (2011). A decomposition of productivity change in the semiconductor manufacturing industry. International Journal of Production Research, 49(16), 4761–4785.CrossRefGoogle Scholar
  31. McWilliams, A., & Siegel, D. (1997). Event studies in management research: Theoretical and empirical issues. Academy of Management Journal, 40(3), 626–657.CrossRefGoogle Scholar
  32. Ng, I. C. L. (2007). Service innovation: Converting Pareto loss into revenue. Journal of Revenue and Pricing Management, 6(4), 279–283.CrossRefGoogle Scholar
  33. Paton, R. A., & McLaughlin, S. (2008). Services innovation: Knowledge transfer and the supply chain. European Management Journal, 26(2), 77–83.CrossRefGoogle Scholar
  34. Shih, Y. Y., & Fang, K. (2006). Effects of network quality attributes on customer adoption intentions of Internet Banking. Total Quality Management and Business Excellence, 17(1), 61–77.CrossRefGoogle Scholar
  35. Steinfield, C., Bouwman, H., & Adelaar, T. (2002). The dynamics of click-and-mortar electronic commerce: opportunities and management strategies. International Journal of Electronic Commerce, 7(1), 93–119.Google Scholar
  36. Strader, T. J., & Ramaswami, S. N. (2004). Investor perceptions of traditional and online channels. Communications of the ACM, 47(7), 73–76.CrossRefGoogle Scholar
  37. Subramani, M., & Walden, E. (2001). The impact of e-commerce announcements on the market value of firms. Information Systems Research, 12(2), 135–154.CrossRefGoogle Scholar
  38. Tsolas, I. E. (2010). Modeling bank branch profitability and effectiveness by means of DEA. International Journal of Productivity and Performance Management, 59(5), 432–451.CrossRefGoogle Scholar
  39. Tu, H. J., Yen, W. C., & Hou, J.-J. (2010). Measuring the operating efficiency of Internet channels with DEA. International Journal of Logistics Economics and Globalisation, 2(2), 95–106.CrossRefGoogle Scholar
  40. Wen, H. J., Lim, B., & Huang, H. L. (2003). Measuring e-commerce efficiency: A data envelopment analysis (DEA) approach. Industrial Management & Data Systems, 103(9), 703–710.CrossRefGoogle Scholar
  41. Wiles, M. A., Morgan, N. A., & Rego, L. L. (2012). The effect of brand acquisition and disposal on stock returns. Journal of Marketing, 76(1), 38–58.CrossRefGoogle Scholar
  42. Xia, Y., & Zhang, G. P. (2010). The impact of the online channel on retailers’ performances: An empirical evaluation. Decision Sciences Journal, 41(3), 517–546.CrossRefGoogle Scholar
  43. Xue, L., Ray, G., & Sambamurthy, V. (2012). Efficiency or innovation: how do industry environments moderate the effects of firms’ IT asset portfolios? MIS Quarterly, 36(2), 509–528.Google Scholar

Copyright information

© Institute of Information Management, University of St. Gallen 2012

Authors and Affiliations

  1. 1.Providence UniversityTaichung CityTaiwan

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