When an executive defects

The news that one of the company's senior managers is leaving comes as a complete surprise to Paul Simmonds, CEO of Kinsington Textiles, Inc. Ned Carpenter, KTI's vice president of operations for three years, writes in his resignation letter than he is leaving for a better opportunity. Simmonds soon learns that Carpenter's new job is at Daltex, one of KTI's main rivals in the intensely competitive carpet industry. Hiring Carpenter had helped Simmonds establish his reputation as a topnotch manager. Carpenter came to KTI with lots of ideas and put his enthusiasm to good use. Three years into a five-year change program, Carpenter had turned KTI's operations from one of the worst in the industry to one of the best. He also had helped develop and plan the upcoming launch of a new fiber coating--KTI's first breakthrough in years. In this fictitious case study, Simmonds, along with the company's counsel and vice president of human resources, must figure out how much and what sort of damage control they need. What are they going to tell the company's employees and the media? Should they immediately replace Carpenter with John Brady, the second-in-command of operations? What if Carpenter is taking KTI employees--and strategic information--with him to Daltex? Should Simmonds ask all his managers to sign noncompete agreements-something Carpenter was never asked to do? Should KTI sue Carpenter? Five experts offer advice about communicating with KTI's employees, the media, and Carpenter himself, and about protecting the company's confidential information.     

The Importance of Social Capital to the Management of Multinational Enterprises: Relational Networks Among Asian and Western Firms

Social capital is an important concept for multinational firms. Firms operating in global markets rarely have adequate resources to compete effectively in global markets; they access the needed resources through formal and informal relationships with other firms. The cultures in Asian countries have emphasized relationships much more strongly than Western firms. Thus, relational capital, based on guanxi (China), kankei (Japan) and inmak (Korea), provides the framework for business dealings in many Asian countries. As a result, the social capital of many Asian firms gives them a potential competitive advantage in global markets. Western firms must develop social capital and learn to manage relational networks to gain and sustain a competitive advantage in global markets. Western firms can learn how to develop and manage social capital from Asian firms. Alternatively, social capital has some disadvantages. Firms are limited by their networks and thus experience opportunity costs and path dependence. Additionally, while Asian firms often have strong network ties in their domestic markets, they have to develop many more ties globally to operate effectively in global markets. As a result, the development and management of social capital has become of critical importance for competitive advantage in global markets.     

Research notes and communications corporate restructuring and strategic change: The effect on diversification strategy and R & D intensity

In the 1980s a number of large corporations restructured their diversified businesses through divestitures. It is hypothesized that restructuring activity focused on firms at intermediate levels of diversification (e.g., related-linked) which have a mixture of related and unrelated business units. Results confirm this hypothesis which explains that such mixed corporate strategies create organizational and control inefficiencies in managing both related and unrelated types of business units. Restructured firms were also found to move towards two types of different internal capital markets (related and unrelated). Most restructuring firms moved toward lower levels of diversification (e.g., related-constrained), although some moved toward higher levels of diversification (e.g., unrelated business). Also, this study finds restructuring firms that changed their corporate strategy by reducing diversified scope increased their R&D intensity. Firms that restructured and increased their diversified scope decreased R&D intensity. This result suggested a partial substitution between diversification and R&D activity.     

The effect of cultural differences in perceptions of transactions costs on national differences in the preference for international joint ventures

This study presents a theoretical explanation of why the cultural trait of power distance represents greater perceptions of transaction costs and lower perceptions of governance costs across societies. It demonstrates that cultural differences in perceptions of transactions and governance costs as represented by Hofstede's (1980) power distance index explain national differences in the preference for international joint ventures after market size, government limitations on sole ownership and uncertainty avoidance have been controlled. The study concludes that cultural differences in transaction costs provide an important extension to the transaction costs theory of joint ventures.     

The Health Consequences of Adverse Labor Market Events: Evidence from Panel Data

This study investigates the associations between self‐assessed adverse labor market events (experiencing problems with coworkers, employment changes, financial strain) and health. Longitudinal data are obtained from the National Epidemiological Survey of Alcohol and Related Conditions. Our findings suggest problems with coworkers, employment changes, and financial strain are associated, respectively, with a 3.1 percent (3.3 percent), 0.9 percent (0.2 percent), and 4.5 percent (5.1 percent) reduction in mental health among men (women). Associations are smaller in magnitude and less significant for physical health.     

Optimising a Probabilistic Model of the Development of Play in Soccer

We present a probabilistic model based on the one developed by Hernández Mendo and Anguera (Revista de Psicologíca Social, 16(1), 71–93, 2001). Here we have tried to break down the interaction contexts that the opposing teams are able to generate and transform during the game. We are aware that a given player or team does not produce consistent behaviour in similar situations. However, a degree of uncertainty is assumed to exist regarding whether the results obtained are a specific function of the analysis used. In order to carry out this research a category system which optimized that used in the previous model was developed. This system should enable the interaction between teams to be observed within the actual play of a soccer game. A lag sequential analysis was performed on the basis of a coding of the behavioural flow. After describing the behavioural patterns obtained a probabilistic model of the development of play in soccer is proposed.     

To the Rescue!? Brokering a Rapid,Scaled and Customized Compassionate Response to Suffering after Disaster

Suffering comes in many forms that significantly impact organizations’ operations and performance. As a result, recent research on compassion organizing seeks to explain how efforts to notice, feel, and respond to suffering create organizational (and societal) benefits. Widespread suffering can be generated by natural disasters, which in turn can trigger compassionate organizational responses. In this paper, we build on social capital theory to theorize about how compassionate ventures leverage network relationships to identify and mobilize resources. We also explore how differences in these approaches influence the magnitude, speed, and customization of the response, all of which are theorized indicators of the effectiveness of compassion organizing in alleviating suffering. We use structural equation modelling to test our model and find that compassionate ventures with stronger ties to the local community are more likely to bundle (i.e., stretch) resources, which facilitates a speedy, customized, and large magnitude response. In contrast, those with stronger ties outside the local community are more likely to pursue (i.e., chase) new resources, which results in a large magnitude response, but one that is not associated with speed or customization. We discuss the implications of our findings and make recommendations for future research.     

Applying efficiency measurement techniques to the measurement of productivity change

Deterministic frontier analysis (DFA), stochastic frontier analysis (SFA), and data envelopment analysis (DEA) are alternative analytical techniques designed to measure the efficiency of producers. All three techniques were originally developed within a cross-sectional context, in which the objective is to compare the efficiencies of producers. More recently all three techniques have been extended for use in a panel data context. In the latter context it is possible to measure productivity change, and to decompose measured productivity change into its sources, one of which is efficiency change. However when efficiency measurement techniques, particularly SFA, have been applied to panel data, it has infrequently been made clear what the objective of the analysis is: the measurement of efficiency, which may vary through time as well as across producers, or the measurement and decomposition of productivity change. In this paper I explore the use of each technique in a panel data context. I find DFA and DEA to have achieved a more satisfactory reorientation toward productivity measurement than SFA has.     

Forecasting Macroeconomic Labour Market Flows: What Can We Learn from Micro‐level Analysis?

Forecasting labour market flows is important for budgeting and decision‐making in government departments and public administration. Macroeconomic forecasts are normally obtained from time series data. In this article, we follow another approach that uses individual‐level statistical analysis to predict the number of exits out of unemployment insurance claims. We present a comparative study of econometric, actuarial and statistical methodologies that base on different data structures. The results with records of the German unemployment insurance suggest that prediction based on individual‐level statistical duration analysis constitutes an interesting alternative to aggregate data‐based forecasting. In particular, forecasts of up to six months ahead are surprisingly precise and are found to be more precise than considered time series forecasts.