Climate for conflict management,exposure to workplace bullying and work engagement: a moderated mediation analysis

The present study investigates a potential preventive factor in relation to workplace bullying. Specifically, we examine how climate for conflict management (CCM) may be related to less bullying, increased work engagement, as well as whether CCM is a moderator in the bullying engagement relationship. The study was based on a cross-sectional survey among employees in a transport company (N = 312). Hypotheses were tested simultaneously in a moderated mediation analysis which showed that bullying and job engagement were related (H1), CCM was related to less reports of bullying (H2), CCM was related to work engagement (H3) and that CCM was indirectly related to job engagement through bullying (H4), but only when CCM was weak (H5). That is, CCM moderated the relationship between bullying and work engagement in that this relationship only existed when CCM was low. The present study contributes to theory within this research field by showing that organizational measures may not only prevent bullying, but may also affect how employees react when subjected to bullying. Furthermore, the effect of climate in relation to bullying may be down to the narrow bandwidth facet of CCM. The study informs employers how they may act to prevent bullying while also reducing the potential negative outcomes of those cases of bullying that inevitably will show up from time to time.     

Investment, uncertainty and irreversibility

This paper investigates the irreversibility of investments and the impact this has on the nature of the relationship between investment and uncertainty. The empirical analysis uses firm‐level data and is based on a survey of 210 rice‐milling firms in the Mekong River Delta in Vietnam, which was carried out during the year 2000. We show that uncertainty reduces investment of rice millers in the presence of irreversibility, as is predicted by the real options approach to investment. We do not find evidence that the negative association between uncertainty and investment is influenced by the degree of irreversibility.     

Competition Policy: What are the Costs and Benefits of Measuring its Costs and Benefits?

Summary  Competition authorities are increasingly measuring the effects of their enforcement actions, seeking a robust justification for the proliferation of competition policy. We highlight the importance of identifying the right counterfactual against which to measure effects, and set out the relevant categories of costs and benefits. We then explore how a balance can be struck between the benefits and inherent limitations of these measurement exercises. Relatively crude analyses of cartel action benefits can be sufficient to achieve public legitimacy for competition policy. Assessing the effects of merger and conduct inquiries is often ambiguous, but could be used to improve decision-making processes. Director and Managing Consultant, respectively, at Oxera, Oxford and London. The valuable comments of Fod Barnes, Kerry Hughes and an anonymous referee are gratefully acknowledged. The opinions expressed in this article are those of the authors alone.     

A longitudinal study of the cause and consequences of changes in diversification in the U.S. pharmaceutical industry 1977–1986

The paper hypothesizes that diversification by firms based in the pharmaceutical industry during the 1977-86 time period was primarily undertaken to reduce the risks associated with being dependent upon a technologically dynamic environment. Consistent with this non-efficiency motive for diversification, declining economic performance is predicted. A longitudinal empirical analysis provides support for these propositions.     

The Division of Labor Under Homogeneity: A Critique of Mises and Rothbard

A bstract .   Even the most passionate defenders of free trade, such as Mises and Rothbard, claim that trade cannot occur under conditions of strict homogeneity of land, labor, and capital. We show that specialization, trade, and the division of labor can emerge even when resources are initially homogenous, due to "natural heterogeneity," economies of scale, and learning.     

Environmental Innovations in Small and Medium Sized Enterprises

Supporting and accelerating the adoption and diffusion of environmental innovations amongst small and medium sized enterprises (SMEs) is a major challenge to environmental policy makers. Research suggests that whilst SMEs possess high flexibility, their innovative capacity may be limited to incremental changes within their existing technology system and network. Twenty case studies examining the innovation adoption process in SMEs in four sectors and in five countries within the ENVIS project (commissioned by the EU) revealed great variety in factors driving this process. Findings indicate that this variation can be attributed to the character of the environmental innovation, the specific business opportunity, the regulatory setting and pressure experienced by the sector. Based on these findings an analytical framework is suggested, whereby the environmental innovative capability of SMEs is conceived as the result of an interplay between the competencies, the network relations and the strategic orientation of the company (the 'dynamic triangle'). This indicates that policy to support SME's adoption of environmental innovations has to take an integrated form, i.e. addressing and developing competence, networks and strategic orientation of SMEs simultaneously whilst remaining systemic and context sensitive.     

Learning competitive market balance

Summary We exhibit a quite natural, adaptive process generated by price-taking, noncooperative firms, supplying the same market. Under rather mild conditions, that process, being driven by marginal profits, converges to a market clearing, Cournot-Nash equilibrium. Namely, it suffices for convergence that cost functions be strictly convex and that the law of demand holds. Randomness in revenues and costs is accommodated.Support from Ruhrgas is gratefully acknowledged.     

Implied Volatility of Interest Rate Options: An Empirical Investigation of the Market Model

We analyze the empirical properties of the volatilityimplied in options on the 13-week US Treasury bill rate. These options havenot been studied previously. It is shown that a European style put optionon the interest rate is equivalent to a call option on a zero-coupon bond.We apply the LIBOR market model and conduct a battery of validity tests tocompare three different volatility specifications: contact, affine, and exponentialvolatility. It appears that the additional parameter in the affine and theexponential volatility function is not justified. Overall, the LIBOR marketmodel fares well in describing these options.     

The adoption of information technology in the sales force

The purpose of this article is to explain why salespeople adopt information technology. The results from a cross-sectional study of 229 salespeople indicate that putting sales technology to use strongly depends on salespeople's perceptions about the technology enhancing their performance, their personal innovativeness and organizational efforts in terms of user training. Throughout the adoption process companies also need to target sales line managers-next to end users-because salespeople clearly comply with the expectations of their supervisors. Finally, the threat from competing sales professionals or peers who use similar sales technology seems to be of secondary importance for individual sales technology adoption.     

RIDGE ESTIMATORS FOR PROBIT REGRESSION: WITH AN APPLICATION TO LABOUR MARKET DATA

In this paper we propose ridge regression estimators for probit models since the commonly applied maximum likelihood (ML) method is sensitive to multicollinearity. An extensive Monte Carlo study is conducted where the performance of the ML method and the probit ridge regression (PRR) is investigated when the data are collinear. In the simulation study we evaluate a number of methods of estimating the ridge parameter k that have recently been developed for use in linear regression analysis. The results from the simulation study show that there is at least one group of the estimators of k that regularly has a lower mean squared error than the ML method for all different situations that have been evaluated. Finally, we show the benefit of the new method using the classical Dehejia and Wahba dataset which is based on a labour market experiment.