The impact of stakeholder heterogeneity on risk perceptions in technological innovation

Managing risk has been widely acknowledged as a crucial managerial task in the development of new technology. More recently, the acceptance of new technologies has increasingly been influenced by secondary stakeholders, some of which are difficult to identify, or whose concerns are not easily reconciled. This paper develops a conceptual framework based on the management of technology and research & development literature, stakeholder theory, risk and social judgment to describe how traditional approaches based on reducing uncertainties through estimating probabilities may not work for social uncertainties; different heuristics are needed to understand and resolve such heterogeneous stakeholder perspectives. We contribute to the discourse by describing how risk perceptions among stakeholders vary, and how this may change over time. The framework suggests that the perception of primary stakeholder towards a specific innovation is ‘Standard’ when information is well known, but becomes riskier when information is unclear. For secondary stakeholders, when there is a low degree of imperfect information, the stakeholder relationship is an ‘Irritant’ but becomes increasingly ‘Dangerous’ when information becomes ambiguous. We conclude with implications for management and future research.     

Trading in derivatives when the underlying is scarce

Regulatory restrictions and market frictions can constrain the aggregate quantity of long and short positions in a security. When these constraints bind, we refer to the security as scarce, and its price becomes distorted relative to its value in a frictionless market. We show that an otherwise redundant derivative can reduce the price distortion of the underlying security by relaxing its scarcity. We also show that it is especially important to analyze the underlying and derivative markets jointly when evaluating the impact of regulation, such as short-sales bans and position limits in derivatives, that restricts trade.     

Nonparametric identification and estimation of random coefficients in multinomial choice models

We show how to nonparametrically identify the distribution of unobservables, such as random coefficients, that characterizes the heterogeneity among consumers in multinomial choice models. We provide general identification conditions for a class of nonlinear models and then verify these conditions using the primitives of the multinomial choice model. We require that the distribution of unobservables lie in the class of all distributions with finite support, which under our most general assumptions, resembles a product space where some of the product members are function spaces. We show how identification leads to the consistency of a nonparametric estimator.     

Gender Mainstreaming and Corporate Social Responsibility: Reporting Workplace Issues

This paper investigates the potential and actual contribution of corporate social responsibility (CSR) to gender equality in a framework of gender mainstreaming (GM). It introduces GM as combining technical systems (monitoring, reporting, evaluating) with political processes (women’s participation in decision-making) and considers the ways in which this is compatible with CSR agendas. It examines the inclusion of gender equality criteria within three related CSR tools: human capital management (HCM) reporting, CSR reporting guidelines, and socially responsible investment (SRI) criteria on employee and diversity issues. Although evidence is found of gender equality information being requested within several CSR related reporting frameworks, these requirements are mostly limited in scope, or remain optional elements. The nature and extent of relevant stakeholder opportunities are investigated to explain this unfulfilled potential.     

Early adoption,experience, and farm performance of GM corn seeds

The current article explores the characteristics that distinguish early from late adopters of GM corn and measures the productivity impacts of early adoption, for a sample of farmers in Minnesota and Wisconsin. The results of the adoption analysis confirm that size, education as well as specialization are positively correlated with early adoption. In addition, these results also show that farms that are mostly worked by family labor but hire some off‐farm labor are more likely to adopt GM seeds earlier in the diffusion process. The productivity analysis demonstrates the superiority of stacked varieties. At the same time, we find no evidence of a direct impact of experience on yields. Given the previously documented impact of early adoption on the use of stacked varieties, we conclude that experience plays a role through the adoption of these new technologies but does not play a role in allowing the producer to use the technology more efficiently, once it has been adopted.     

Specialization,diversification, and productivity: a panel data analysis of rice farms in Korea

This article examines the microeconomics of productivity associated with specialization/diversification in production activities, with an application to Korean rice farms. Korean rice farms tend to be very small and highly specialized. Our analysis examines the productivity effects associated with both farm size and farm specialization/diversification in Korean agriculture. Relying on farm‐level panel data, the analysis studies farm productivity in a multi‐input multi‐output context, accounting not only for changes in inputs and technical change in rice production, but also for the role of diversification in the production of other crops in current and previous periods. We find positive but small productivity gains from farm diversification. These gains come mostly from complementarity effects across farm outputs, with minimal effect of scale economies. The positive complementarity effects work against nonconvexity effects, which provide strong productivity incentives for rice farms to specialize.     

European works councils: the challenge for labour1

Drawing on survey evidence, this paper explores the quality of information and consultation at European works councils and developments in the support infrastructure available to representatives. The paper highlights that European works councils are an institution in process. As such, wide‐ranging developments have been implemented to improve their performance, but many of these will have to be extended in coverage if European work councils are to be exploited to better effect by labour.     

Provision Point Mechanisms and Field Validity Tests of Contingent Valuation

Past field validity tests of contingent valuation have relied on voluntary contribution mechanisms to elicit actual willingness to pay, and may overestimate hypothetical bias because of free riding in the actual contributions. This paper argues that provision point mechanisms are a preferred alternative for field validity tests of contingent valuation because they increase the proportion of demand revealed in cases in which public goods can be provided in a step function. The results of a contingent valuation validity study of participation in a green electricity pricing program that uses a provision point mechanism are reported, and hypothetical open-ended and dichotomous choice responses are compared to actual participation. Calibration of hypothetical responses is also explored.