Three essays on e-tailer's pricing, services and customer channel usage in the internet market place
Yong Cao, Thomas S. Gruca
Abstract
Yong Cao, Thomas S. Gruca
Abstract
This thesis is composed of three related but independent essays. First, I propose and test a dynamic model of Internet pricing competition based on the differences between the business models of pure and hybrid e-tailers. Pure e-tailers derive all of their revenues from Internet-based retailing while hybrid e-tailers have other value creation opportunities. Pure e-tailers were obligated to build their businesses from scratch while hybrid e-tailers could leverage existing customer relationships to produce on-line revenue. Consequently, pure e-tailers should seek to maximize market share while hybrid e-tailers should focus on short-term profitability due to a number of internal and external factors. During the Internet bull market, these differences in business models and goals should result in a two-tiered pricing structure with pure e-tailers offering substantially lower prices than hybrid e-tailers. Changes in the stock market with respect to the valuation of Internet companies in April 2000 reduced availability of financial resources to implement the “lowest price” strategy favored by pure e-tailers. This reduction of resources should lead to an increase in prices by pure e-tailers and price dispersion is reduced. Second, I empirically test the relationship between e-tailers' price, their pre-purchase and post-purchase service quality. I find that the e-tailers with higher post-purchase service and market leader charge higher prices. Differences in pre-purchase service do not explain the price differences across e-tailers. I find that post purchase service and market leadership are the important factors in explaining price differences. Therefore, these factors are important ways that e-tailers differentiate themselves. Third, I investigate the major factors that determine how much business customers buy online and offline. I segment business customers using their current and intended future online/offline channel usage. By examining the differences across segments with respect to their different perceptions in both online and offline channels, I find that product delivery and pricing are the two major factors influencing customers' channel usage. I also find that changing the perceptions of some segments with respect to online service will be important in growing online commerce.
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This thesis is composed of three related but independent essays. First, I propose and test a dynamic model of Internet pricing competition based on the differences between the business models of pure and hybrid e-tailers. Pure e-tailers derive all of their revenues from Internet-based retailing while hybrid e-tailers have other value creation opportunities. Pure e-tailers were obligated to build their businesses from scratch while hybrid e-tailers could leverage existing customer relationships to produce on-line revenue. Consequently, pure e-tailers should seek to maximize market share while hybrid e-tailers should focus on short-term profitability due to a number of internal and external factors. During the Internet bull market, these differences in business models and goals should result in a two-tiered pricing structure with pure e-tailers offering substantially lower prices than hybrid e-tailers. Changes in the stock market with respect to the valuation of Internet companies in April 2000 reduced availability of financial resources to implement the “lowest price” strategy favored by pure e-tailers. This reduction of resources should lead to an increase in prices by pure e-tailers and price dispersion is reduced. Second, I empirically test the relationship between e-tailers' price, their pre-purchase and post-purchase service quality. I find that the e-tailers with higher post-purchase service and market leader charge higher prices. Differences in pre-purchase service do not explain the price differences across e-tailers. I find that post purchase service and market leadership are the important factors in explaining price differences. Therefore, these factors are important ways that e-tailers differentiate themselves. Third, I investigate the major factors that determine how much business customers buy online and offline. I segment business customers using their current and intended future online/offline channel usage. By examining the differences across segments with respect to their different perceptions in both online and offline channels, I find that product delivery and pricing are the two major factors influencing customers' channel usage. I also find that changing the perceptions of some segments with respect to online service will be important in growing online commerce.
Key concepts: Business, The Internet, Revenue, E-commerce, Pricing strategies, Marketing, Commerce, Computer science