Differentiable von Neumann-Morgenstern utility

Summary. Differentiability is a convenient property of von Neumann-Morgenstern utility functions which is almost always imposed but has not been translated into behavioral terms. In applications, expected utility is usually maximized subject to a constraint, and the maximization is carried out by differentiating the utility function. This paper presents two sets of necessary and sufficient conditions for a risk averse von Neumann-Morgenstern utility function to be differentiable. The first of them is formulated in terms of the equivalent risk premia of small gambles. It says, in brief, that the equivalent risk premium is of a smaller order of magnitude than the risk itself, as measured by the expectation of the absolute value of the risk. The second set of necessary and sufficient conditions is formulated in terms of the probability premium of small lotteries. It says, essentially, that the probability premium for small binary lotteries goes to zero as the size of the lottery goes to zero. Received: May 11, 1997; revised version: May 14, 1998     

Analysis of SMEs partner proximity preferences for process innovation

This paper explores small and medium enterprises’ (SMEs) proximity preferences when selecting partners for collaborative process innovation. Drawing on a survey of 362 Danish SMEs, we address four partner proximity characteristics: geographic, cognitive, organizational, and social. The results show that SMEs prioritize geographic openness over regional clustering. Furthermore, to simultaneously facilitate collaboration and ensure innovation, firms tend to collaborate with partners that are characterized by cognitive similarity at a technological level and knowledge distance at a market level. Technological proximity is also found to be more relevant than social proximity when it comes to bridging the potential geographic and market distance between the collaborative partners. Finally, the results indicate that the tendency of organizational proximity to facilitate informal interactions with partners enhances process innovation only at two of four process innovation levels. Thus, the results highlight the fact that the value of partner proximity characteristics change with the level of process innovation considered.     

Learning and Innovation in International Strategic Alliances: An Empirical Test of the Role of Trust and Tacitness

Drawing on knowledge-based, organizational learning, and social capital perspectives, we propose and test an integrated framework in which knowledge tacitness and trust act as mediating mechanisms in the relationship between partner characteristics and alliance outcomes. We distinguish between learning and innovation outcomes and suggest that while innovation may result from alliance learning, it can also be created by combining separate knowledge bases without learning from each other. We contend that tacitness and trust play differing roles in the pursuit of learning and innovation and test this proposition on a sample of 120 international strategic alliances.     

Working Hours in Supply Chain Chinese and Thai Factories: Evidence from the Fair Labor Association's ‘Soccer Project’

This article examines the determinants of working excessive hours, defined as working in excess of 60 hours per week or for more than six consecutive days, in Chinese and Thai supply chain factories. We use a matched employer–employee dataset collected from 15 Chinese and Thai footwear and sporting apparel supply chain factories, which supply international brands. Matched employer–employee data allow us to examine the effect of worker and firm characteristics on hours worked. We find that in addition to the demographic and human capital characteristics of workers, firm‐level characteristics and worker awareness of how to refuse overtime are important in explaining variation in hours worked.     

Top management team nationality diversity and firm performance: A multilevel study

This research reexamines the equivocal relationship between top management team (TMT) diversity and firm performance. Combining upper echelons theory with insights from institutional theory, we establish a new, timely dimension of TMT diversity—nationality diversity—and develop an integrated multilevel framework explaining how its performance implications vary across contextual settings. We find that nationality diversity is positively related to performance; and this effect is stronger in (a) longer tenured teams, (b) highly internationalized firms, and (c) munificent environments. More generally, our research demonstrates that the consequences of TMT diversity depend on the (1) specific attributes of diversity being considered and (2) firm and industry conditions under which strategic decisions take place. Copyright © 2012 John Wiley & Sons, Ltd.     

Private Equity and Investment in Innovation: Evidence from Patents

The authors' analysis of the patenting activity of 472 companies that received private equity investments between 1986 and 2005 provides suggestive evidence of an increase in the effectiveness (though not necessarily the quantity) of their innovative activities. After such companies received private equity backing, the patents they applied for received more frequent citations than patents awarded before the involvement of PE firms. Companies acquired by private equity also show no sign of deterioration in patent “originality” and “generality,” which have been shown to be fairly reliable indicators of the fundamental nature of the research. And while there is no clear pattern of change in the level of patenting activity, corporate patent portfolios become more focused in the years after the private equity investments. The increases in our measure of patent “impact” are greatest in the areas that constitute the companies' historical core strengths. These findings are likely to prove increasingly important as private equity continues its incursions into growth areas of the economy.     

Portfolio optimization under model uncertainty and BSDE games

We consider robust optimal portfolio problems for markets modeled by (possibly non-Markovian) Itô–Lévy processes. Mathematically, the situation can be described as a stochastic differential game, where one of the players (the agent) is trying to find the portfolio that maximizes the utility of her terminal wealth, while the other player (“the market”) is controlling some of the unknown parameters of the market (e.g., the underlying probability measure, representing a model uncertainty problem) and is trying to minimize this maximal utility of the agent. This leads to a worst case scenario control problem for the agent. In the Markovian case, such problems can be studied using the Hamilton–Jacobi–Bellman–Isaacs (HJBI) equation, but these methods do not work in the non-Markovian case. We approach the problem by transforming it into a stochastic differential game for backward stochastic differential equations (a BSDE game). Using comparison theorems for BSDEs with jumps we arrive at criteria for the solution of such games in the form of a kind of non-Markovian analogue of the HJBI equation. The results are illustrated by examples.     

‘I’ve been to Bali too’ (and I will be going back): are terrorist shocks to Bali's tourist arrivals permanent or transitory?

International visitor arrivals to Bali are examined using univariate and panel Lagrange multiplier (LM) unit root tests with one and two structural breaks to ascertain if shocks to the time path of tourist arrivals are permanent or transitory. The univariate LM unit root tests with one and two structural breaks fail to reject the null hypothesis of a unit root in international visitor arrivals to Bali. However, the panel LM unit root tests with one and two structural breaks applied to a panel of Bali's 11 major source markets reject the null and support the alternative hypothesis of a joint trend-stationary series with transitory shocks. This result suggests that, the effects of the recent terrorist acts on Bali on the growth path of tourist arrivals from major markets are only transitory and that as a consequence Bali's tourism sector is sustainable in the long run.     

Role of gastronomic,externality and feasibility attributes in consumer demand for organic and local foods: The case of honey and apples

Local food systems providing high‐value products are seen as a tool to sustain economic activity on family farms in rural areas. The objective of this study is to investigate the role of gastronomic, externality and feasibility characteristics in consumers' demand for local and for organic foods. An Internet questionnaire survey was conducted in 2010 among Danish consumers. 3211 respondents completed the questionnaire, which included questions about respondents' food‐related values and their specific perception of organic and local varieties of honey and apples. Variables related to consumers' food‐related values and product perception were analysed using principal component analysis, in order to identify overall dimensions (factors) in these variables. Although statements about gastronomic attributes (e.g. taste, appearance, quality) were quite strongly represented in three of these factors, externality and availability concerns also contributed significantly to the overall variation in the variables. Multinomial logit choice modelling was used for describing the relationship between these dimensions and respondents' stated choices regarding organic and local varieties of honey and apples. Results suggest that although both organic and local food supply chains are often associated with special attributes such as gastronomic characteristics and relatively beneficial externality attributes, these attributes are perceived differently for the two types of supply chains. Perceived gastronomic quality is the most important determinant for food choice, but externality and feasibility aspects are also important correlates.