UNDER CONSTRUCTION

Internet and Channel Integration: The Example of Financial Services

- Exploratory Study -

 

Introduction

The financial services sector has for many years enjoyed some of the longest lasting customer relationships in the business community. In some industry segments, such as retail banking, the longevity of customer relationships is also reflected in the willingness to pay some of the highest customer acquisition costs for consumers (Reichheld and Sasser 1990).

Recently, however, the use of Internet technology appears to be challenging traditional relationships and, therefore, potential business models. For one thing, companies use the Internet to build electronic direct sales and distribution channels. For another, companies use these channels for more than just complementing or bypassing traditional intermediaries. Some companies use direct electronic channels to sell new, related services such as insurance products (i.e., Deutsche Bank's www.deutsche-bank24.de). This bundling or cross-selling of related consumer services is often referred to as "Allfinanz" (Spremann 1996, p. 59; "German Finance Three into one will go" 2001). Other companies use electronic direct channels to increase the extent to which customers are involved in service production and delivery. This is a relatively new strategy and is only feasible in consumer mass markets because of new developments in the area of information technology. It can allow for the reconfiguration of business relationships in the financial services sector. With many new inter-organizational, Internet-based information systems, such as electronic exchanges, the reconfiguration potential extends beyond the customer connection to include business processes and supplier relationships upstream in the value chain.

 

 

Choice of Industry Domain

This research aims to analyze the role of Internet technology in the reconfiguration of relationships in the financial services sector, especially in its asset management segment.

Financial services in general presents a potentially rich domain for the investigation of the role of digital interactive technology in the reconfiguration of channel structures.

  • First, financial services account for a major share of Internet transactions, which implies that financial services are among the early adopters of digital interactive technology rather than being laggards. This ensures that effects can be observed.

  • Second, financial services are digital goods. Advertising, sales, and fulfillment of digital goods can be conducted electronically. Physical goods, on the other hand, can only be advertised and sold on the Internet. Therefore, the Internet could have a more significant impact in digital goods industries.

  • Third, asset management firms in particular could create rich consumer profiles without expensive incentive programs. Customers have an obvious incentive to volunteer sensitive personal data, such as salary information, because potential benefits from financial-advisory services depend upon the quality of this information.

 

Research Issues

Based on interviews with business executives and a study of pioneers we chose to categorize Internet-related observations into three groups: (1) distribution channel, (2) cross-selling, and (3) strategic reconfiguration. This classification scheme reflects different strategic choices regarding Internet use. It is consistent with Venkatraman's concept of IT-enabled business transformation, which distinguishes between the operational and strategic effects of IS (1994). Furthermore, our three categories are aligned with the firm structure literature on vertical/horizontal integration in industrial organization theory. Other classification concepts recognize, for example, the Internet impact on transparency, differential pricing, and dis-intermediation (Clemons and Hitt 2000, p. 4-5, and Table 1, p. 35-38).

1. Distribution Channel/Forward Integration.  Financial services organizations use the Internet to build a new direct sales and distribution channel. The Internet’s low transmission cost and its multimedia capabilities, such as streaming audio and video, allow for rich and interactive information and transaction services.

2. Cross-Selling/Horizontal Integration.  Financial services organizations can use online channels to add new products and develop cross-selling opportunities. Because every vertical industry sells to the same consumer, cross-selling could save customer acquisition cost and improve the quality of user profiles.

3) Reconfiguration/"Virtual" or Electronic Integration: Once customers are online, companies can use Internet technology and Web services to automate back-office processes and link them with online clients to allow for customer self-service.
For one  thing this can increase customer satisfaction and loyalty, which, in turn, may allow for the installation of switching cost in an otherwise volatile environment.
For another thing, if business processes are automated and integrated so that customers can configure and trigger the delivery of services to their desk, this can eliminate entire steps that are currently handled manually and can thus reduce labor and transaction costs. In other words, a highly automated provider could "outsource" some operations to its customers. All that would be left to do would be to provide and maintain the underlying information technology infrastructure.

An excellent example is Dell Computer Corporation. The firm is not using its electronic direct channel to do a better job of selling heterogeneous products or  to reach new customer segments but rather to allow its customers to trigger the entire production system. In fact, Dell has reorganized the system so that customers can pull the product through production as opposed to Dell pushing it into the market. Furthermore, the company has also reorganized organizational structures. Today, it considers itself "virtually" integrated, controlling upstream operations through information management rather than through financial ownership (Magretta 1998).

Our study is particularly focused on the extent of customer involvement in service production and delivery and the role of marketing, distribution and IS strategy.

 

Figures: Asset Management Value System and Internet Impact

 

 

Research Approach and Exemplary Literature

Many studies on the role of information systems in changes in industry structure have been based on transaction cost theory. Brynjolfsson et al. (1994) showed that the use of information technology (IT) reduces firm size, because it reduces external coordination costs more than internal costs. Dewan et al. (1998) and Hitt (1999) revealed that increased IT use is negatively associated with vertical integration and weakly positively related with diversification, because of reduced internal and external coordination costs.

In the financial services sector, examples of transaction cost-based research include Zaheer and Venkatraman with their study of the determinants of electronic integration (1994).

However, our interviews and our study of pioneers revealed the importance of the customer relationships. This is also confirmed in recent research on Internet retailing. Research by Brynjolfsson and Smith has revealed that the customer relationship and its impact on branding, awareness, and trust remain important sources of heterogeneity among Internet rivals (2000). Therefore, we propose to complement transaction cost-based analysis with a customer relationship view. Specifically, we argue that social exchange theory could be helpful in analyzing the importance of customer relationships. Social exchange theory analyzes the exchange of information and other goods between individuals in order to explain their interaction (Thibaut and Kelley 1959, Kelley and Thibaut 1978).

The marketing sciences literature has successfully applied and adapted social exchange theory in research on marketing channels (Frazier 1983) and manufacturer-distributor relationships (Andersen, Narus 1984, 1990). This research also provides the underpinnings of the relationship marketing literature (Morgan and Hunt 1994).

 

 

Industry Participation

We would greatly appreciate your completing the enclosed survey document. Because the validity of the results depends upon obtaining a very high rate of response, your participation is crucial to the success of this study.

Several tests have revealed that it takes less than 30 minutes to complete the questionnaire.

Finally, be assured that your answers will be held in the strictest confidence.

We will give access to exclusive results to participants only.

 

Survey Document
(to be added soon)

 

 

Researchers

Professor C. Schlueter Langdon (Principal Investigator)
Strategic IS, Marshall School of Business, USC

Voice: 310.594.8466
Fax: 213.740.7313
Email: clangdon@marshall.usc.edu

Marshall School, USC
IOM Department
Bridge Hall 401
Los Angeles, CA 90089

 

Prof. Dr. Gary Frazier
The Richard & Jarda Hurd Professor of Distribution Management, Marshall School, USC

 

Dr. Gordon Guth
University of Kaiserlautern, Germany

 

 

References

Anderson, J.C. and Narus, J.A. 1984. A Model of the Distributor’s Perspective of Distributor-Manufacturer Working Relationships, Journal of Marketing 48: 62-74.

Anderson, J.C., Narus, J.A. 1990. A Model of Distributor Firm and Manufacturer Firm Working Relationships, Journal of Marketing 54: 42-58.

Birch, D., and Young, M.A. 1997. Financial Services and the Internet: What Does Cyberspace Mean for the Financial Services Industry, Internet Research (7:2): 120-128.

Brynjolfsson, E., Smith, M. 2000. Frictionless Commerce? A Comparison of Internet and Conventional Retailers, Management Science (46:4): 563-585. http://ecommerce.mit.edu/papers/friction/friction.pdf, (05.15.2001).

Brynjolfsson, E., and T. W. Malone, et al. 1994. Does Information Technology Lead to Smaller Firms. Management Science (40:12): 1628-1644.

Clemons, E.K., Hitt, L.M. 2000. The Internet and the Future of Financial Services: Transparency, Differential Pricing and Disintermediation, Working Paper, http://fic.wharton.upenn.edu/fic/wfic/papers/00/p0035.html, (05.15.2001).

Dewan, S., Michael, S.C., and Min, C. 1998. Firm Characteristics and Investments in Information Technology: Scale and Scope Effects. Information Systems Research (9:3): 219-232.

Duclaux, D. 1996. The Call of the Web, ABA Banking Journal 4: 20-22.

Frazier, G. 1983. On the Measurement of Interfirm Power in Channels of Distribution, Journal of Marketing Research 5: 158-166.

German Finance--Three into one will go. 2001. The Economist (February 3rd): 76.

Hitt, L.M. 1999. Information technology and firm boundaries: Evidence from panel data. Information Systems Research (10:2): 134-149.

Tibaut, J.W. and Kelley, H.H. 1959. The Social Psychology of Groups, John Wiley&Sons: New York, N.Y.

Kelley, H.H. and Tibaut, J.W. 1978. Interpersonal Relations: A Theory of Interdependence. John Wiley&Sons: New York, N.Y.

Lagoutte, V. 1996 The Direct Banking Challenge Unpublished Honors Thesis, Middle-sex University.

Liao, S., Shao, Y.P., Wang, H., and Chen, A. 1999. The Adoption of Virtual Banking: An Empirical Study, International Journal of Information Management (19:1): 63-74.

Magretta, J. 1998. The Power of Virtual Integration: An Interview With Dell Computer’s Michael Dell, Harvard Business Review (76:2): 73-84.

Morgan, R.M., Hunt, S.D. 1994. The Commitment-Trust Theory of Relationship Marketing, Journal of Marketing (58:7): 20-38.

Orr, B. 1998. Where Will Internet Banking be in Two Years? APA Banking Journal 03: 59-72.

Reichheld, F.R. and Sasser, W.E. 1990. Zero Defections: Quality Comes to Services, Harvard Business Review (65:5): 105-111.

Spremann, K. 1996. Wirtschaft, Investition und Finanzierung. 5. Auflage, Oldenbourg Verlag, München.

Ternullo, G. 1996. Banking on the Internet: New Technologies, New Opportunities and New Risks, Boston Regional Outlook, Second Quarter.

Tower Group. 1996. Establishing an Internet-Based Banking Service (http://www.towergroup.com/pages/notes/v10/v10_015R.htm, access must be requested from Tower Group).

Venkatraman, N. 1994. IT-Enabled Business Transformation. Sloan Management Review (Winter): 73-87.

Zaheer, A., and Venkatraman, N. 1994. Determinants of electronic integration in the insurance industry: An empirical test. Management Science (40:5): 549–566.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Send mail to csl@ebizstrategy.org with questions or comments about this Web site.

Copyright © 1999-2007 Dr. Chris Schlueter Langdon

Last modified: May 13, 2007