Exploitation- and exploration-based innovations: The role of knowledge in inter-firm relationships with distributors

Learning capacity is a critical factor for a firm’s innovation and competitiveness. This study explores the issue of how knowledge in inter-firm relationships with distributors influences manufacturers’ exploitation- and exploration-based innovations and performance. The empirical model examines the effect of three different types of knowledge-related issues in inter-firm relationships: (i) the acquisition of substantial knowledge (about products, technology, or markets) from distributors; (ii) the learning about collaborating with each distributor as the relationship evolves; and (iii) the general firm’s knowledge about managing distributors. A model of learning—innovation—performance is developed and tested in a sample of 201 firms in the food and beverages sector. The results reveal that: (i) knowledge about managing distributors promotes continuous learning from them; (ii) learning to collaborate is critical, as it favours knowledge acquisition and both types of innovations (exploitation- and exploration-based); (iii) learning from distributors weakens firms’ tendency to stress one type of innovation strategy over another; and (iv) knowledge in inter-firm relationships with distributors affects performance in a completely mediated way, that is, through innovation. Theoretical and managerial implications of these findings are discussed in the conclusion of the paper.     

EPM technology and the psychosocial work environment

This paper examines the self‐measured psychosocial work environment among employees working in six Icelandic companies, having similar jobs. Some are surveilled by electronic performance monitoring (EPM) technology and some are not. We find that employees working under EPM technology reported a worse psychosocial work environment than their colleagues.     

The Dynamics of Labour Flexibility: Relationships between Employment Type and Innovativeness

This paper investigates the relationship between flexible human resource (HR) practices and innovativeness. Testing the research model in a sample of first‐tier automotive suppliers indicates that internal flexibility practices are positively related to innovativeness. Regarding external flexibility, the association depends on the type of contingent employee: negative association for ‘short‐term hires’ and positive association for ‘consulting/contracting firms’. The relationships to innovativeness for practices associated with knowledge transfer are moderated by environmental dynamism, but the non‐knowledge related practices are not. Firms in highly dynamic environments can benefit more from flexible HR practices than firms in less dynamic environments.     

On the Complementarity of Equilibrium Exchange‐Rate Approaches

Based on a simple, stock–flow adjustment framework, we show that existing concepts of equilibrium exchange rates can be viewed as realizations of the same model at different time horizons. We then compare fundamental and behavioral estimations of equilibrium exchange rates based on the same, econometric modeling of the net foreign asset position in the long run, for a panel of 15 countries over the 1980–2005 period. These estimations suggest that, although more robust to alternative assumptions, the BEER approach may rely on excessive confidence on past behaviors in terms of portfolio choices. Symmetrically, FEERs may underestimate the plasticity of international capital markets because they focus on the adjustment of the trade balance.     

Remarks on the foundations of actuarial science

Abstract

In a paper entjtled ?Critical Thoughts on Actuarial Science? read before the Swedish Actuarial Society and published in this part of the Journal K. ENGLUND has expressed some views which gave rise to objections also from my part in the verbal discussion at the meeting of the Society. In the following lines I have tried to develop my views about the most important questions touched upon in his paper.     

Untangling the relationships among growth,profitability and survival in new firms

The performance of new firms is important for economic development but research has produced limited knowledge about the key relationships among growth, profitability, and survival for new firms. Based on evolutionary theory, we develop a model about how new firms resolve uncertainty about their ability to prosper in a market by monitoring changes in profitability. Our model predicts selection pressures to weed out underperforming firms and learning in order to allow survivors to improve performance and grow. We test our theory using a unique panel of knowledge-intensive new firms in Sweden. We find strong support for the notion that profitability enhances both survival and growth, and growth helps profitability but has a negative effect on survival. Implications are discussed.     

New opportunities for farm accounting

This paper starts out to observe that there is a gap between the importance given to accounting and the low level of bookkeeping and accounting practice in the agricultural sector. Reasons for this gap are that current general accounting rules do not adapt very well to the particularities of farming and are difficult and expensive to implement. We then suggest that the Farm Accountancy Data Network (FADN) and the recently issued International Accounting Standard on Agriculture (IAS 41) could be key elements to improve the use of accounting in European farms. We review the main contributions of IAS 41 and conclude that it provides a strong conceptual framework but might need further instruments for its implementation in practice, given the limitations of the agricultural sector. We continue to explain that FADN is an experienced network that has elaborated very detailed farm accounting procedures, and suggest that these procedures could be turned into a guide for implementing IAS 41. We report empirical data which indicate that current FADN reports are already considered useful by farmers for different purposes. Finally, we analyse in detail the compatibility of IAS 41 and FADN, identifying changes in the FADN procedures that would become necessary if the FADN procedures were to be used for implementing IAS 41 and some aspects of FADN that might have been worthwhile to consider for the final version of IAS 41.     

Count data stochastic frontier models, with an application to the patents–R&D relationship

This article introduces a new count data stochastic frontier model that researchers can use in order to study efficiency in production when the output variable is a count (so that its conditional distribution is discrete). We discuss parametric and nonparametric estimation of the model, and a Monte Carlo study is presented in order to evaluate the merits and applicability of the new model in small samples. Finally, we use the methods discussed in this article to estimate a production function for the number of patents awarded to a firm given expenditure on R&D.     

Accounting for endogeneity in matching function estimation

We show that equilibrium matching models imply that standard estimates of the matching function elasticities are exposed to an endogeneity bias, which arises from the search behavior of agents on either side of the market. We offer an estimation method which, under certain structural assumptions about the process driving shocks to matching efficiency, is immune from that bias. Application of our method to the estimation of a basic version of the matching function using aggregate U.S. data from the Job Openings and Labor Turnover Survey (JOLTS) suggests that the bias can be quantitatively important.     

Five charges against the precautionary principle

We defend the precautionary principle against five common charges, namely that it is ill-defined, absolutist, and a value judgement, increases risk-taking, and marginalizes science. We argue, first, that the precautionary principle is, in principle, no more vague or ill-defined than other decision principles and like them it can be made precise through elaboration and practice. Second, the precautionary principle need not be absolutist in the way that has been claimed. A way to avoid this is through combining the precautionary principle with a specification of the degree of scientific evidence required to trigger precaution, and/or with some version of the de minimis rule. Third, the precautionary principle does not lead to increased risk-taking, unless the framing is too narrow, and then the same problem applies to other decision rules as well. Fourth, the precautionary principle is indeed value-based, but only to the same extent as other decision rules. Fifth and last, the precautionary principle is not unscientific other than in the weak sense of not being exclusively based on science. In that sense all decision rules are unscientific.