Organizational citizenship behaviour and turnover intention: a cross-cultural study

This study investigated the relationship between organizational citizenship behaviour (OCB) and turnover intention in 162 production workers in the same organization within Malaysia, Germany and England. Further, differences in ratings of OCB across cultures were examined. Self-report questionnaires measuring turnover intention and five dimensions of OCB (altruism, courtesy, conscientiousness, sportsmanship and civic virtue) were administered to the samples. Results illustrated that OCB related significantly to turnover intention, with sportsmanship emerging as the strongest predictor of turnover intention across cultures. Cultural differences in OCB ratings were seen, with the Malaysian sample generally scoring higher than the other two samples. However, the relationship between OCB and turnover intention was similar within each culture group. Explanations of the findings and limitations are discussed.     

Attribute Specific Impacts of Stated Non‐Attendance in Choice Experiments

In this paper, we generalise existing approaches to the treatment of stated attribute non‐attendance data in discrete choice experiments by allowing attribute specific impacts. We implement this approach by employing an extended hierarchical Bayes logit model specification. To illustrate this approach, we consider data collected to examine Indian consumers’ preferences for traditional aromatic rice varieties. Our results regarding stated attribute non‐attendance reveal that, our new approach shrinks marginal utilities of non‐attenders substantially compared to stated attenders, with significant differences in the shrinkage between some of the attributes. In addition, our results reveal the way in which non‐attendance of attributes interact with each other and the impact that this has on the distribution of willingness to pay estimates.     

The Rise and Stall of a Fair Trade Pioneer: The Cafédirect Story

This is a case study investigating the growth of fair trade pioneer, Cafédirect. We explore the growth of the company and develop strategic insights on how Cafédirect has attained its prominent position in the UK mainstream coffee industry based on its ethical positioning. We explore the marketing, networks and communications channels of the brand which have led to rapid growth from niche player to a mainstream brand. However, the company is experiencing a slow down in its meteoric rise and we question whether it is possible for the company to regain its former momentum with its current marketing strategy.     

Some nonstandard stochastic volatility models and their estimation using structured hidden Markov models

We introduce a number of nonstandard stochastic volatility (SV) models and examine their performance when applied to the series of daily returns on several stocks listed on the New York Stock Exchange. The nonstandard models under investigation extend both the observation process and the volatility-generating process of basic SV models. In particular, we consider dependent as well as independent mixtures of autoregressive components as the log-volatility process, and include in the observation equation a lower bound on the volatility. We also consider an experimental SV model that is based on conditionally gamma-distributed volatilities.Our estimation method is based on the fact that an SV model can be approximated arbitrarily accurately by a hidden Markov model (HMM), whose likelihood is easy to compute and to maximize. The method is close, but not identical, to those of Fridman and Harris (1998), Bartolucci and De Luca (2001, 2003) and Clements et al. (2006), and makes explicit the useful link between HMMs and the methods of those authors. Likelihood-based estimation of the parameters of SV models is usually regarded as challenging because the likelihood is a high-dimensional multiple integral. The HMM approximation is easy to implement and particularly convenient for fitting experimental extensions and variants of SV models such as those we introduce here. In addition, and in contrast to the case of SV models themselves, simple formulae are available for the forecast distributions of HMMs, for computing appropriately defined residuals, and for decoding, i.e. estimating the volatility of the process.     

Do Announcements About Corporate Social Responsibility Create or Destroy Shareholder Wealth? Evidence from the UK

This paper investigates the stock market reaction to the announcement that a firm has been included in the UK FTSE4Good index of socially responsible firms. We use the announcement of firm inclusion in the index to estimate the stock market reaction to a firm being classified as socially responsible. This is an important test of whether investors view the undertaking of socially responsible activities by firms as a value increasing or value decreasing initiative by management. We do not find strong evidence in favour of a positive market reaction. However, there is a large cross-sectional variation in the market reaction to this announcement. Investors appear to be reacting to this event and there are a number of firm characteristics that are well-established proxies for CSR that can explain the market reaction.     

Do Consumers Care About Ethical-Luxury?

This article explores the extent to which consumers consider ethics in luxury goods consumption. In particular, it explores whether there is a significant difference between consumers’ propensity to consider ethics in luxury versus commodity purchase and whether consumers are ready to purchase ethical-luxury. Prior research in ethical consumption focuses on low value, commoditized product categories such as food, cosmetics and high street apparel. It is debatable if consumers follow similar ethical consumption patterns in luxury purchases. Findings indicate that consumers’ propensity to consider ethics is significantly lower in luxury purchases when compared to commoditized purchases and explores some of the potential reasons for this reduced propensity to identify or act upon ethical issues in luxury consumption.     

Upstream demand for water use by new tree plantations imposes externalities on downstream irrigated agriculture and wetlands*

Large‐scale tree plantations in high rainfall upstream areas can reduce fresh water inflows to river systems, thereby imposing external costs on downstream irrigation, stock and domestic water users and wetland interests. We take the novel approach of expressing all benefits and costs of establishing plantations in terms of $ per gigalitre (GL) of water removed annually from river flows, setting upstream demands on the same basis as downstream demands. For the Macquarie Valley, a New South Wales sub‐catchment of Australia’s Murray‐Darling Basin, we project changes in land and water use and changes in economic surpluses under two policy settings: without and with a policy requiring permanent water entitlements to be purchased from downstream parties, before plantation establishment. Without the policy, and given a high stumpage value for trees ($70/m³), upstream gains in economic surplus projected from expanding plantations are $639 million; balanced against $233 million in economic losses by downstream irrigators and stock and domestic water users for a net gain of $406 million, but 345 GL lower mean annual environmental flows. With the policy, smaller gains in upstream economic surplus from trees ($192 million), added to net downstream gains ($138 million) from sale of water, result in gains of $330 million with no reduction in environmental flows. Sustaining the 345 GL flow for a $76 million (406–330) reduction in gains to economic surplus may be seen to cost only $0.22 million/GL; but this is much lower than the market value of the first units of that water to agriculture and forestry.     

Patents, Thickets and the Financing of Early-Stage Firms: Evidence from the Software Industry

Legal changes in the patentability of software since the mid 1990s have resulted in a substantial increase in the number of patents on software inventions. We focus here on the impact of transactions costs associated with patent "thickets" on new entrants' interactions with the capital markets. Using data on the financing of entrants into 27 narrowly defined software markets, we show that start-up software companies operating in markets characterized by denser patent thickets saw their initial acquisition of VC funding delayed relative to firms in markets less affected by patents after the mid 1990s. The relationship between patent thickets and subsequent financing activity such as IPO or acquisition is more complex, but there is weak evidence that firms without patents became less likely to go public if they operated in a market characterized by patent thickets. Firms with patents are more likely to be funded or experience a liquidity event. However, the application for a patent appears to matter more than its grant.     

The Resilience Agenda in Neoliberalising Cambodia

The paper provides a critical assessment of disaster risk reduction (DRR) and resilience strategies in Cambodia with reference to resilience. The paper argues that resilience is a part of and correlated to the localised practices of a specific form of neoliberalisation in and of Cambodia. As a result, disaster risk strategy is a potential means of managed neoliberal state-led intervention capacity in sub-regions to pre-empt and manage particular forms of land and social conflict. The paper links current state-led resilience policy to the Cambodian government’s increasing interest in ensuring land for infrastructure connectivity as its national development plan in the context of regional economic integration.     

Traffic lights and food choice: A choice experiment examining the relationship between nutritional food labels and price

In this paper we investigate how consumers respond to the UK nutritional food label Traffic Light System (TLS). Employing a choice experiment (CE) we find that consumers appear to behave in a manner consistent with our expectations regarding the impact of the TLS. We identify a strong preference on the part of respondents to avoid a basket of goods containing a mix of foods with any “Red” lights. In addition, we find that consumers have a hierarchy of importance in terms of perception of the various nutrients examined and there are clear behavioural differences associated with particular socio-economic characteristics confirming early research on the use of nutrition labels. Overall our results indicate significant heterogeneity in the attitudes and responses of consumers to the TLS nutritional food labels within and across socio-economic strata.