Conflict management and innovation performance: An integrated contingency perspective

In recent years, many of the basic assumptions underlying organizational conflict research have changed, drawing into question the validity of some previous research findings. Operating from the perspective that conflict is complex, multidimensional, and context specific, this research takes a fresh look at key conflict antecedents, mediators, and consequences in the context of the innovation process. The study investigates the relationships among five behavioral conflict-handling strategies, destructive and constructive conflict, and innovation performance as perceived by 290 R & D and marketing department managers. Empirical results both support and question some of the previous findings in conflict research. The results indicate that integrating, accommodating, compromising, forcing, and avoiding conflict-handling strategies can have different impacts on constructive and destructive conflict in an innovation context. Kelly Hewett (kelly_hewett@moore.sc.edu) is in the Department of Marketing at the Moore School of Business, University of South Carolina. Her research focuses on the management of relationships between buyers and sellers, as well as between headquarters and foreign subsidiaries in managing the marketing function globally. Her research has been published in theJournal of Marketing, the Journal of the Academy of Marketing Science, and theJournal of International Business Studies, among others. R. Bruce Money (moneyb@byu.edu) is the Donald Staheli Fellow and an associate professor of marketing and international business in the Marriott School of Management, Brigham Young University. His articles have been published in journals such as theJournal of Marketing, theJournal of the Academy of Marketing Science, theJournal of International Business Studies, andSloan Management Review. His research interests include the international aspects of national culture’s measurement and effects, business-to-business marketing, word-of-mouth promo-tion, services marketing, and negotiation. Subhash Sharma (sharma@moore.sc.edu) is the James F. Kane Professor of Business in the Moore School of Business, University of South Carolina. Professor Sharma’s research interests include marketing strategy, structural equation modeling, data mining, customer relationship management, e-commerce, the marketing-operations interface, and global marketing strategies. He has published numerous articles in these areas in leading academic journals such as theJournal of Marketing Research, theJournal of Marketing, Marketing Science, theJournal of Retailing, theJournal of Operations Management, theInternational Journal of Research in Marketing, andManagement Science. Professor Sharma has also authored two textbooks:Applied Multivariate Techniques (John Wiley, 1996) andScaling Procedures: Issues and Applications (with Richard G. Netemeyer and William O. Bearden, Sage, 2003). Professor Sharma was a member of the editorial boards of theJournal of Marketing Research and theJournal of Marketing and currently serves on the editorial review board of theJournal of Retailing.     

Perspectives on demarketing during the energy crisis

This article has attempted to outline the antecedent conditions which produced a gasoline shortage in the United States and describe the demarketing strategies employed by Shell and Exxon. The effectiveness of their respective strategies and the oil industry, in general, in stimulating de-consumption was also examined.     

Consumer legislation: A proactive or reactive response to consumerism?

The number and rate of development of new consumer legislation necessitates the evaluation of existing legislation. This paper summarizes and categorizes, in detail, the impact of select pieces of consumer legislation on consumer decision making. It is an implied objective of the paper to provide a perspective for future public policy formulation. The pieces of legislation evaluated in the paper are: (1) unit pricing; (2) product labeling; and (3) disclosure of interest rate provisions for consumer credit. The impact of these pieces of legislation have been minimal, indicating the need for an educational program for consumers.     

Pioneer brand advantage and consumer behavior: A conceptual framework and propositional inventory

What are the behavioral origins of pioneer brand advantage? This article provides an integrative conceptual framework and propositional inventory to help more fully understand this multifaceted phenomenon. It is proposed that there are three sources of entry-order information that work through various psychological processes and affect multiple decision process variables. The conceptual framework translates into eight testable propositions. New exploratory evidence is presented. Managerial implications are discussed.     

Systematic review of sourcing and 3D printing: make-or-buy decisions in industrial buyer–supplier relationships

Management Review Quarterly - Additive manufacturing (AM) is regarded as a technology that has transformative and disruptive potential in nearly all industries. However, AM is not only about new...     

Socioeconomic predictors of forest use values in the Peruvian Amazon: A potential tool for biodiversity conservation

Conservation is a crisis discipline requiring rapid action with limited funds. This study examines the potential of socioeconomic variables to predict forest use values. If natural resource use can be predicted from socioeconomic data, conservation planners could rapidly identify and focus conservation programs on the sectors of local populations that most intensively utilize local flora and fauna. Families in three communities in the northern Peruvian Amazon were surveyed over a 6-month period. Data were collected on use of flora and fauna from six locally determined use categories (food, medicine and poisons, wood, weavings, adornments, and “other”) in forest types of three age classes (fallow fields—very young forests, young secondary forests, and old secondary forests). Forest use values were the dependant variables calculated in $/ha/year. Socioeconomic variables included: age, education, family size, residence time, land worked, land owned, number of fishing nets, chickens, pigs, cows, and/or mules owned (all proxies for productive assets), and level of ecological knowledge (ability of informants to correctly identify forest species and answer basic questions about their biology). Ordinary least square multiple regressions were run independently for each forest type. Regressions were also run separately for the two most valuable use categories, food and wood. Low R² adjusted values (all < 0.3) reflect the difficulty in predicting human behavior due to confounding variables and complex interactions. Residence time and a household's community of residence were the most significant predictors of forest use values. Households in Vista Alegre, the community with the highest density of people and smallest landholdings per household, extracted the highest value of forest products per hectare. The longer a family stayed in any community the higher the value of forest goods they extracted. If families that lived in an area longest are the most intensive extractors of forest products, they should be a major focus for conservation programming. In addition, the higher value of products extracted from forests by some families may make them more open to strategies seeking to protect long-term viability of the resources they utilize. The importance of residence time also indicates that planners need to account for changes in the resource use patterns of stakeholders over time.     

Carbon Trading with Imperfectly Observable Emissions

The Kyoto Protocol foresees emission trading but does not yet specify verification of (uncertain) emissions. This paper analyses a setting in which parties can meet their emission targets by reducing emissions, by investing in monitoring (reducing uncertainty of emissions) or by (bilaterally) trading permits. We derive the optimality conditions and carry out various numerical simulations. Our applications suggest that including uncertainty could increase compliance costs for the USA, Japan and the European Union. Central Europe and the Former Soviet Union might be able to gain from trading due to higher permit prices. Emissions trading could also lower aggregate uncertainty on emissions.