Comparing levels of resident empowerment among two culturally diverse resident populations in Oizumi,Gunma, Japan

While resident empowerment has been a central aspect of the sustainable tourism literature, difficulties of putting the concept into practice have been noted given the heterogeneous nature of communities. “Community” is often divided by kinship, age, gender and ethnicity, and such division may influence the perceptions of empowerment. The goal of this study was to better understand heterogeneous perceptions of empowerment by administering the Resident Empowerment through Tourism Scale within the community of Oizumi, Japan. Oizumi has the highest concentration of Brazilian immigrants in Japan, and the town has embraced “ethnic neighborhood tourism” centered on Brazilian culture as a strategy for economic development. Oizumi's demographic makeup allowed for testing differences in perceived empowerment between members of the dominant ethnic group (Japanese) and members of the ethnic minority group (Japanese Brazilians). Analysis of 650 completed questionnaires revealed that Brazilians felt more psychologically and socially empowered than Japanese residents, indicating a shift in the balance of power between the ethnic groups. Results also revealed that the political dimension of empowerment was rated relatively low among both groups, suggesting a general lack of opportunities to participate in the planning process. Implications for both practice and theory are presented.     

Mapping the benefits and costs associated with process innovation: The case of RFID adoption

The successful implementation of any innovation requires an understanding of its benefits and costs. This study examines the changes in the magnitude of costs and benefits associated with technology process innovation adoption as the innovation diffuses across different industries. Using RFID as an exemplar technology, the study shows that the magnitude of benefits and costs associated with technological process innovation adoption within different industries varies as technology diffuses beyond early adopters to the early majority. During the early stages of technology evolution, the development cost, the cost of capital, ethical costs and simple direct implementation costs (in the form of the cost of tags) predominate. As a dominant design emerges the profile of costs changes with the emphasis on initiation costs, more holistic direct implementation costs and indirect implementation costs. A similar change in the emphasis of benefits is observed, with a shift from direct to indirect benefits being noticeable as the technology moves from early adopters to early majority adopters. Our findings help to explain the difficulties in consistently measuring innovation outcomes observed in the innovation implementation literature, and emphasize the need to take into consideration the stage of technology development as a significant factor that influences the realised outcomes from innovation implementation.     

The optimal selective logging regime and the Faustmann formula

This study analyzes the optimal selective logging regime of a size-distributed forest where individual trees compete for scarce resources such as space, light, and nutrients. The decision problem of the forest manager is formulated as a distributed optimal control problem. The interpretation of the first-order conditions allows a generalization of the Faustmann formula. In an empirical part, this article numerically determines the optimal management regime of a size-structured forest and shows that the optimal selective logging regime is associated with a normal forest under a wider variety of situations than stated in the previous literature.     

Domain‐Relevant Commitment and Individual Technical Innovation Performance

Individual innovators play a critical organizational role in that they generate and often champion technology and product ideas. Amidst an ongoing stream of organizational and team innovation research, few empirical studies focus on differences in individual innovation performance despite the importance of the individual innovator to a firm's innovation efforts. Based on goal commitment theory, we introduce a new domain‐relevant commitment construct and develop a conceptualization of conditional indirect effects. Our model suggests that relevant individual abilities enhance commitment to technical innovation and innovation performance while also insulating against the impact of situational variables, making employees' commitment to innovation performance less dependent upon context. Hypotheses are tested using two sources of data and a sample of 339 R&D professionals from a Fortune 100 industrial firm. Results suggest that commitment to innovation is a key motivational factor in explaining individual technical innovation performance. Situational characteristics impact motivation differently for individuals with lower vs. higher ability levels, even in this context in which truly low‐ability individuals, in the absolute sense, have been screened out by the employment selection process. The relationship between commitment and innovation performance is strengthened by higher levels of individual ability.     

Utility Functions

Abstract

This article is a self-contained survey of utility functions and some of their applications. Throughout the paper the theory is illustrated by three examples: exponential utility functions, power utility functions of the first kind (such as quadratic utility functions), and power utility functions of the second kind (such as the logarithmic utility function). The postulate of equivalent expected utility can be used to replace a random gain by a fixed amount and to determine a fair premium for claims to be insured, even if the insurer’s wealth without the new contract is a random variable itself. Then n companies (or economic agents) with random wealth are considered. They are interested in exchanging wealth to improve their expected utility. The family of Pareto optimal risk exchanges is characterized by the theorem of Borch. Two specific solutions are proposed. The first, believed to be new, is based on the synergy potential; this is the largest amount that can be withdrawn from the system without hurting any company in terms of expected utility. The second is the economic equilibrium originally proposed by Borch. As by-products, the option-pricing formula of Black-Scholes can be derived and the Esscher method of option pricing can be explained.     

Pecking order as a dynamic leverage theory

Static tradeoff theories, which do not explicitly treat the impact of transaction costs, do not explain the policy of asymmetry between frequent small debt transactions and infrequent large equity transactions. Nor do these theories explain why the debt ratio is allowed to wander a considerable distance from its alleged static optimum, or how much of a distance should be tolerated. We offer a class of diffusion models that mimic this behaviour in a stochastic-dynamic framework and are designed to optimize a financing strategy using any static tradeoff theory as input. The models developed reveal the determinants of the size and frequency of equity transactions and the range of values over which leverage variations are tolerated in four generic scenarios. They also yield a new formulation of the cost of capital that recognizes stochastic transaction costs and a penalty for deviation from any static-optimal leverage. Our class of models augments the pecking order theory, provides a flexible quantitative framework for its implementation as a decision tool, and facilitates the formulation of additional hypotheses for its empirical validation. Symmetrically, our results show the importance of dynamic factors in designing and interpreting empirical tests of static tradeoff theories. The results presented have important implications for the role played by static tradeoff theories in a stochastic-dynamic framework. One such implication is that the static-optimal leverage has no direct effect on the firm's leverage policy in this setting. The target leverage for refinancing transactions is different from the static-optimal leverage, and the mean leverage is generally different from both. As a consequence, the latter cannot be used to estimate the former. Another implication is that even when the mean leverage equals the static optimum, mean reversion is not an optimal behaviour and therefore not a legitimate test for the existence of a static tradeoff in a dynamic context. Still another implication is that wide variations in leverage ratios cannot be interpreted as evidence of leverage indifference. It follows that the pecking order theory is consistent with static tradeoff theories and does not require the assumption of leverage indifference.     

A constraint-free approach to optimal reinsurance

Reinsurance is available for a reinsurance premium that is determined according to a convex premium principle H. The first insurer selects the reinsurance coverage that maximizes its expected utility. No conditions are imposed on the reinsurer's payment. The optimality condition involves the gradient of H. For several combinations of H and the first insurer's utility function, closed-form formulas for the optimal reinsurance are given. If H is a zero utility principle (for example, an exponential principle or an expectile principle), it is shown, by means of Borch's Theorem, that the optimal reinsurer's payment is a function of the total claim amount and that this function satisfies the so-called 1-Lipschitz condition. Frequently, authors impose these two conclusions as hypotheses at the outset.