Sales Technologies, Sales Force Management, and Online Infomediaries

An information intermediary (or infomediary) is an online firm that plays an important role in the information component of a transaction but not in the logistics component. Infomediary sales channels in which leads that originate online are converted to sales by an offline sales force are particularly important in areas such as automobile retailing, real estate, insurance, mortgages, and many other contexts. This research examines the role of sales technologies and the organization of the sales force in creating value for infomediary sales channels, formally examining channel outcomes using an analytical model and empirically examining channel outcomes using a survey of 678 automobile dealerships. The analyses indicate that adoption of sales technologies for lead management and channel-specific salespeople influence leads purchased (from infomediaries) and infomediary channel sales for the retailer. These findings integrate important technologies from outside the organization (infomediaries) and technologies and management structures inside the organization (sales technologies for lead management and channel-specific salespeople) into an understanding of retailer use of infomediary channels. These findings also suggest that it is in the best interest of infomediaries to offer sales technology and services to retailers, bundling information products with technologies for channel management.

[1]  N. Azad,et al.  The customer relationship management process: its measurement and impact on performance , 2015 .

[2]  Florian Zettelmeyer,et al.  Internet Car Retailing , 2000 .

[3]  A. Bharadwaj,et al.  IT Capabilities : Theoretical Perspectives and Empirical Operationalization , 2013 .

[4]  C. Speier,et al.  The Hidden Minefields in the Adoption of Sales Force Automation Technologies , 2002 .

[5]  Kenneth L. Kraemer,et al.  Post-Adoption Variations in Usage and Value of E-Business by Organizations: Cross-Country Evidence from the Retail Industry , 2005, Inf. Syst. Res..

[6]  Anindya Ghose,et al.  The Impact of Internet Referral Services on a Supply Chain , 2007, Inf. Syst. Res..

[7]  Paul Milgrom,et al.  Complementarities and fit strategy, structure, and organizational change in manufacturing , 1995 .

[8]  Philip Kotler,et al.  The Major Tasks of Marketing Management , 1973 .

[9]  William D. Perreault,et al.  Sales Technology Orientation, Information Effectiveness, and Sales Performance , 2006 .

[10]  Eli Jones,et al.  High Touch Through High Tech: The Impact of Salesperson Technology Usage on Sales Performance via Mediating Mechanisms , 2008, Manag. Sci..

[11]  J. Edwards,et al.  Methods for integrating moderation and mediation: a general analytical framework using moderated path analysis. , 2007, Psychological methods.

[12]  Kenneth L. Kraemer,et al.  e-Commerce Metrics for Net-Enhanced Organizations: Assessing the Value of e-Commerce to Firm Performance in the Manufacturing Sector , 2002, Inf. Syst. Res..

[13]  George J. Avlonitis,et al.  Antecedents and consequences of CRM technology acceptance in the sales force , 2005 .

[14]  Prashant Palvia,et al.  An Examination of Infomediary Roles in B2C E-Commerce , 2006, AMCIS.

[15]  Anandhi S. Bharadwaj,et al.  A Resource-Based Perspective on Information Technology Capability and Firm Performance: An Empirical Investigation , 2000, MIS Q..

[16]  Robert W. Zmud,et al.  International Conference on Information Systems ( ICIS ) December 1999 IT Capabilities : Theoretical Perspectives and Empirical Operationalization , 2017 .

[17]  J. Mathieu,et al.  A Longitudinal Examination of Individual, Organizational, and Contextual Factors on Sales Technology Adoption and Job Performance , 2006 .

[18]  Kwaku Atuahene-Gima,et al.  Adoption of New Products by the Sales Force: The Construct , 1997 .

[19]  V. Padmanabhan,et al.  Referral Infomediaries , 2002 .

[20]  Michael Ahearne,et al.  A Longitudinal Cross-Level Model of Leader and Salesperson Influences on Sales Force Technology Use and Performance , 2007, The Journal of applied psychology.

[21]  M. Dekimpe,et al.  The Market Valuation of Internet Channel Additions , 2002 .

[22]  Rolph E. Anderson,et al.  Customer Relationship Management: Its Dimensions and Effect on Customer Outcomes , 2004 .

[23]  Gary K. Hunter,et al.  Making Sales Technology Effective , 2007 .

[24]  Hemant K. Bhargava,et al.  Economics of an Information Intermediary with Aggregation Benefits , 2004, Inf. Syst. Res..

[25]  Barton A. Weitz,et al.  Knowledge, Motivation, and Adaptive Behavior: A Framework for Improving Selling Effectiveness , 1986 .

[26]  Kevin Zhu,et al.  The Complementarity of Information Technology Infrastructure and E-Commerce Capability: A Resource-Based Assessment of Their Business Value , 2004, J. Manag. Inf. Syst..

[27]  Betsy Bugg Holloway,et al.  Adaptive Selling Behavior Revisited: An Empirical Examination of Learning Orientation, Sales Performance, and Job Satisfaction , 2003 .

[28]  E. Brynjolfsson,et al.  Paradox Lost? Firm-Level Evidence on the Returns to Information Systems Spending , 1996 .

[29]  Lukas P. Forbes,et al.  The Sales Force Technology–Performance Chain: The Role of Adaptive Selling and Effort , 2008 .

[30]  Kristopher J Preacher,et al.  Addressing Moderated Mediation Hypotheses: Theory, Methods, and Prescriptions , 2007, Multivariate behavioral research.

[31]  Niels Schillewaert,et al.  Why Sales Reps Should Welcome Information Technology: Measuring the Impact of CRM-Based IT on Sales Effectiveness , 2007 .

[32]  S. Viswanathan,et al.  Online Infomediaries and Price Discrimination: Evidence from the Automotive Retailing Sector. , 2007 .

[33]  Rajiv Kohli,et al.  Performance Impacts of Information Technology: Is Actual Usage the Missing Link? , 2003, Manag. Sci..