Pioneering Advantage in New Service Development: A Multi-Country Study of Managerial Perceptions

Pioneering advantage in manufacturing firms has received much attention in the management and marketing literature. Few research studies, however, have been conducted to investigate the pioneering advantages and disadvantages involved in new service development, especially across several geographic regions. We build a theoretical framework of pioneering advantage in service industries based on the distinguishing characteristics of services. From this framework, we develop a set of testable propositions about the importance of several types of pioneering advantage (economic, preemptive, technological, and behavioral advantages) to service managers. Specifically, we propose that all of these types of pioneering advantages are important to service managers, and that these managers perceive that pioneering results in improved firm performance. We also propose that, due to the distinguishing characteristics of services such as intangibility and heterogeneity, service managers will not perceive the risks of pioneering in a service industry to be severe. In addition, we propose that certain types of pioneering advantage will be more important to service managers in Western countries than in Asian Pacific countries due to cultural and business environmental differences. In particular, we propose that service managers from Western firms perceive preemptive advantages of pioneering to be more important than do their Asian Pacific counterparts, and service managers from Asian Pacific firms perceive behavioral advantages of pioneering to be more important than do their Western counterparts. To test our propositions empirically, we develop a set of pioneering principles from the literature. We then collect and analyze data from a sample of 982 senior managers in service industries from nine countries: the United States, the United Kingdom, Germany, Japan, China, Taiwan, Hong Kong,1 South Korea, and Singapore. We find evidence of several significant cross‐cultural differences consistent with our propositions. In fact, seven of the eight propositions are strongly or partially supported. The only nonsupported proposition concerned the importance of technological advantage. We find that technological advantages of pioneering are much less important to service managers than are other pioneering advantages. We conclude with strategic recommendations for managers involved in new service development and international or global competition, and provide directions for future research. We note that the insights from this study can help managers from both the West and the Asian Pacific region to better understand their global competitors who pursue a new service pioneering strategy, and can potentially help them select entry deterrence strategies more effectively.     

Strategies of Product and Process Innovation: A Loglinear Analysis

Utterback and Abernathy (1975) developed a dynamic innovation model to explain the patterns of product and process innovation and to show which types of innovation would be most strategically appropriate for firms with particular objectives. In this paper the relation-ships between type and/or source of innovation and a number of firm-characteristic variables are examined. Loglinear regression is employed to determine the extent of the postulated relationships in a set of actual industry data on product innovation. The loglinear model provided results which were highly consistent with predictions made on the basis of previous research into product and process innovation.     

The economics of netting in financial networks

Journal of Economic Interaction and Coordination - Can the netting of on-balance-sheet interbank assets and liabilities be useful in thwarting financial contagion during a systemic crisis episode?...     

Revisiting the Miles and Snow strategic framework: uncovering interrelationships between strategic types,capabilities, environmental uncertainty,and firm performance

The Miles and Snow strategic type framework is re‐examined with respect to interrelationships with several theoretically relevant batteries of variables, including SBU strategic capabilities, environmental uncertainty, and performance. A newly developed constrained, multi‐objective, classification methodology is modified to empirically derive an alternative quantitative typology using survey data obtained from 709 firms in three countries (China, Japan, United States). We compare the Miles and Snow typology to the classification empirically derived utilizing this combinatorial optimization clustering procedure. With respect to both variable battery associations and objective statistical criteria, we show that the empirically derived solution clearly dominates the traditional P‐A‐D‐R typology of Miles and Snow. Implications and directions for future research are provided. Copyright © 2004 John Wiley & Sons, Ltd.