Product quality: Impact of interdepartmental interactions

The authors examine the role of organizational factors affecting interdepartmental interactions and their subsequent effects on product quality. Results from a national study suggest that product quality is affected by interdepartmental conflict and connectedness. Importantly, the linkage between interdepartmental conflict and product quality appears to be robust across varying levels of market turbulence and technological turbulence. In contrast, interdepartmental connectedness appears to be more important for product quality under conditions of high market and technological turbulence. The results also indicate that interdepartmental interactions are influenced by leadership characteristics (risk aversion of top managers), reward system orientation, and organization structure (centralization, departmentalization, and hierarchical levels). Managerial implications and directions for future work are proposed. His research interests focus on marketing strategy, marketing management, and new product management. His work has appeared in theJournal of Marketing, Journal of Business Research, and other journals. His research focuses on implementing and controlling marketing, market/environmental orientation, and customer responses to advertising. His work has appeared in theJournal of Marketing, Journal of Marketing Research, Review of Marketing, and other journals. His research interests include market orientation, marketing strategy, sales management, and industrial marketing. His work has appeared in a number of journals including theJournal of Marketing, Journal of Marketing Research, andStrategic Management Journal.     

Service provider responses to anxious and angry customers: different challenges, different payoffs

Anxiety and anger, two frequently experienced emotions during service consumption, arise from different appraisals of the eliciting event, i.e., attribution to uncontrollable circumstances and low coping potential for anxiety versus attribution to providers and high coping potential for anger. These appraisal differences were hypothesized to impact the occurrence of supportive provider responses (higher for anxiety than for anger), and the value given to supportive responses by anxious versus angry customers (higher evaluation for anxiety than for anger). It was also hypothesized that, although evaluation of provider response would mediate the relationship between the intensity of both anger and anxiety and satisfaction with the service encounter as a whole, the power of this mediating effect would be stronger for anxiety than for anger. Hypotheses were confirmed in a survey of air travel passengers reporting episodes of anxiety and anger. Implications of these results for challenges and payoffs involved in the development of adaptive response strategies to anxious and angry customers are discussed.     

The quality and effectiveness of marketing strategy: Effects of functional and dysfunctional conflict in intraorganizational relationships

By examining only dysfunctional conflict and ignoring functional conflict, empirical research in marketing has presented only part of the story. This research offers the first systematic look at the antecedents and consequences of both functionaland dysfunctional conflict in intraorganiational relationships. The authors develop and empirically test a causal model for key organizational antecedents of new product strategy quality and market performance. They find that dysfunctional conflict in the decision-making process has deleterious consequences for quality of strategy and market performance, whereas functional conflict improves both quality of strategy and performance. Specifically, organizational design characteristics such as formalization, interdepartmental interconnectedness, low communication barriers, and team spirit improve new product performance by enhancing functional conflict, whereas centralization and high communication barriers lower new product performance by increasing dysfunctional conflict. A post hoc test for common method bias or variance suggests that bias or variance alone cannot explain these findings. His general research interests focus on strategic issues relating to internal relationships, market learning, and organizational context of marketing strategy. His research has been published in theJournal of Marketing, Journal of Business Research, Journal of Advertising Research, Journal of Advertising, andJournal of Services Marketing, among others. His general research interests focus on strategic issues relating to relationship marketing, firm performance, sustainable competitive advantage, timing of market entry, and information technology. His past research has been published in theJournal of Marketing, Journal of Business Research, Journal of Services Marketing, andMarketing Education Review, among others. His research interests are in the areas of marketing research methods, structural equations modeling, cellular automata theories and methods, and Taoist methodologies for marketing strategy. His research has been published in theJournal of Marketing, Journal of Marketing Research, andJournal of the Academy of Marketing Science, among others.     

Changes in Technology and Preferences: A General Equilibrium Explanation of Rapid Growth in Trade

We use a computable general equilibrium model in an explanation of the recent rapid growth in Australia's trade, particularly intra-industry trade. Relative to previous studies of trade growth based on multiple regression analysis, our approach allows us to: (i) work at a detailed industry level; (ii) use primary variables to represent changes in technology and preferences rather than proxies; and (iii) use a framework based on explicit microeconomic foundations. We find that most of the growth in Australia's trade relative to GDP is explained by changes in technology and preferences.     

A model for forecasting wheat production

A model for forecasting production of wheat considering the effects of irrigation, fertilizer application, high yielding varieties, rainfall, labour and farm machinery is derived. Applicabilitty of this model is tested for Indian conditions and is found satisfactory. Strength and limitations of this model can be applied successfully to other national conditions also. This model has been applied to the prediction of wheat production using two growth relations.