Strategy in research design and hypothesis testing

The efficiency of a research design may be measured in terms of the degree to which knowledge is enhanced within given resource constraints. Thus, two different types of research design, even though they contain the same number of expected observations, may differ considerably in the amount of information provided. An example is the number N of 32 observations obtained with an analysis of variance witheither 2 factors, 2 levels per factor and a replication of 8or 4 factors, 4 levels per factor and a replication of 2. We analyze and compare the relative efficiencies of regression and variance analysis models and their implications to research strategy development. Three major considerations are evaluated: (1) short versus long time horizon (interval until effects of a decision are realized), (2) small versus large cost of erroneous rejection of the Null Hypothesis and (3) gross versus refined stage of development of the research study. A set of general guidelines towards improved designs is developed.     

Organizational capabilities in e-commerce: An empirical investigation of e-brokerage service providers

E-commerce not only has tremendous potential for growth but also poses unique challenges for both incumbents and new entrants. By examining drivers of firm performance in e-commerce from a capabilities perspective, the authors conceptualize three firm capabilities that are critical for superior firm performance in e-commerce: information technology capability, strategic flexibility, and trust-building capability. The extent and nature of market orientation is conceptualized as a platform for leveraging e-commerce capabilities. The authors test the effects of e-commerce capabilities on performance (e.g., relative profits, sales, return on investment) using data from 122 e-brokerage service providers. The results indicate that information technology capability and strategic flexibility affect performance given the right market orientation. Amit Saini (asaini2@unl.edu) is an assistant professor of marketing at University of Nebraska-Lincoln. He conducts research in the area of marketing strategy, technology-marketing interface, e-commerce strategy, and customer relationship management. He has presented papers at major conferences, and his research appears in theJournal of the Academy of Marketing Science and American Marketing Association—Marketing Educator’s Conference Proceedings. His industry experience includes sales management and quantitative market research. Jean L. Johnson (Johnsonjl@wsu.edu) is a professor of marketing at Washington State University. Her research includes partnering capabilities development in, and management of, interfirm relationships and management of international strategic alliances. Her research appears in journals such as theJournal of Marketing, the Journal of International Business Studies, theJournal of the Academy of Marketing Science, and theInternational Journal of Research in Marketing. She serves on the editorial boards of theJournal of Marketing, theJournal of the Academy of Marketing Science, the Journal of Retailing, theJournal of Business and Industrial Marketing, and reviews for others. She spent several years in the advertising industry and has lived, taught, and conducted research in France and Japan. She has been selected to cochair the 2006 winter American Marketing Association (AMA) conference.     

Drivers and implications of entrepreneurial orientation for academic spin-offs

International Entrepreneurship and Management Journal - This paper has been designed with a dual goal. On the one hand, the paper aims to examine the role of management teams, industry agents, and...