Emotional and interpersonal competencies and leader development

A variety of recent leader development programs have focused on improving leaders' emotional and interpersonal competencies. Decades of leadership research suggest that these “people skills” are crucial for leader effectiveness. This paper reviews the history of these leader development programs as well as research on emotional and interpersonal competencies. Suggestions for grounding leader development programs in sound research on emotional and social competencies, as well as an agenda for future research on the development of leader emotional and interpersonal skills, are provided.     

Are Expected Inflation Rates and Expected Real Rates Negatively Correlated? A Long‐Run Test of the Mundell‐Tobin Hypothesis

Some empirical evidence suggests that the expected real interest and expected inflation rates are negatively correlated. This hypothesis of negative correlation is sometimes known as the Mundell‐Tobin hypothesis. In this article we reinvestigate this negative relation from a long‐term point of view using cointegration analysis. The data on the historical interest rate on T‐bills and the inflation rate indicate that the Mundell‐Tobin hypothesis does not hold in the long run for the United States, the United Kingdom, and Canada. We also obtain similar results using the real interest rate on index‐linked gilt traded in the United Kingdom.     

Public Sector Capital and the Production Efficiency of U.S. Regional Manufacturing Industries

This paper applies a stochastic frontier production model with time-varying technical efficiency to investigate the relationship between public capital and technical efficiency. It is based on the proposition that public capital has an effect on actual output by enhancing technical efficiency, thereby reducing the gap between maximum potential output and actual output. Empirical results using panel data from U.S. state manufacturing industries during 1969–86 show that technical efficiencies varied substantially, both between states and between years; variations in technical efficiency are significantly explained by variations in public-sector capital.
JEL Classification Numbers: O20, H54, C23.     

Intelligent Order Matching Systems for Commodity Markets

Automatic order matching systems have emerged as an electronic alternative to traditional markets. In current automatic order matching systems, price and quantity are the only product dimensions used for the order matching. However, a single-commodity market is made up of many heterogeneous goods which are close to each other but different in qualities and delivery conditions. Price and quantity are important but represent only parts of product attributes that commodity traders want to take into account. This study aims to extend current automatic order matching systems by diversifying product dimensions. An intelligent order matching system not only maximizes the total transaction volume based on the price and quantity but also satisfies traders' qualitative preferences over attributes other than price and quantity. The intelligent order matching mechanism combines an economic model with a preference model to incorporate both quantitative and qualitative utility of market participants. Constraint logic programming is investigated as a new information technology to structure and implement the intelligent order matching system.     

An appreciation of our referees

Editorial

An appreciation of our referees     

Unlocking the potential of advanced manufacturing technologies

This research examines whether investments in advanced manufacturing technologies (AMTs) such as flexible manufacturing systems (FMS), computer aided design (CAD), computer aided manufacturing (CAM), robotics, etc., are more likely to lead to improved performance if they are supported by improvements in the manufacturing infrastructure of the company. This question is evaluated using data gathered from 202 manufacturing plants chosen from industries generally considered to have relatively high investments in technology.Multiple item scales are developed and adapted from sources in the literature to measure investments in technology, infrastructure, and the performance of the plant. Evidence supporting the reliability and validity of these scales is provided. Hierarchical regression is used to analyze the relationship between technology, infrastructure, and performance. The results suggest that there is an important interaction between the adoption of advanced manufacturing technologies and investments in infrastructure. Firms that invest in both AMTs and infrastructure perform better than firms which only invest in one or the other. Separate analyses on sub-samples of firms with the highest and lowest investments in AMTs show that infrastructural investments have a stronger relationship with performance in the high investment group. Thus, the data indicate that infrastructural investments provide a key to unlocking the potential of advanced manufacturing technologies.     

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.