Greening the Street-Level Procurer: Challenges in the Strongly Decentralized Swedish System

This article investigates the every-day street-level practice of green public procurement (GPP) in Sweden, a country with one of the most decentralized systems of public administration within the European Union (EU). The street-level procurement officers in Swedish local and regional government are in charge of purchases estimated to represent between 10% and 15% of Sweden’s GDP. This article examines the constraining and enabling factors behind the individual procurement officer’s choice of green procurement in textiles and clothing through a combination of qualitative interviews and a review of documentary sources. The analysis shows that while indirect support through European and national soft regulation and policy advice is imperative for “greening” procurement, the direct factors which influence the local outcome of GPP comprises factors on the local level: political commitment and environmental knowledge, the organizational structure of local government and the local interpretation of the regulatory framework. This study shows that a decentralized structure has possibilities of furthering ambitions of buying green if there are committed politicians and public officials, an optimal level of internal centralisation and an external support structure of knowledge and enabling rules.     

Ratio Analysis Using Rank Transformation

This paper presents an alternate method for transforming financial ratios. Ratios are ranked and scaled into a uniform distribution with boundaries between 0 and 1. Conceptually, we suggest that this method solves a number of methodological problems associated with ratios, including constrained choice of regression models, ratio outliers, negative ratios, and non-normal distributions. Scaled ranks of financial ratios are also conceptually appealing because they appear to capture comparative ordinal data about cross-sectional relationships between firms.The study empirically tests scaled rank transformations by examining the association of the transformations with stock returns. Results show that models using relative ranked accounting ratios have more explanatory and predictive power than untransformed, log-transformed and square-root transformed ratios.     

An Integrative Model of the Influence of Parental and Peer Support on Consumer Ethical Beliefs: The Mediating Role of Self-Esteem,Power, and Materialism

What causes adolescents to develop consumer’ ethical beliefs? Prior research has largely focused on the negative influence of peers and negative patterns of parent–child interactions to explain risky and unethical consumer behaviors. We take a different perspective by focusing on the positive support of parents and peers in adolescent social development. An integrative model is developed that links parental and peer support with adolescents’ self-worth motives, their materialistic tendencies, and their consumer ethical beliefs. In a study of 984 adolescents, we demonstrate support for a sequential mediation model in which peer and parental support is positively related to adolescents’ self-esteem and feelings of power, which are each associated with decreased materialism as a means of compensating for low self-worth. This reduced materialism is, in turn, associated with more ethical consumer beliefs.     

Profit distribution management by Islamic banks: An empirical investigation

The objective of this paper is to ascertain whether Islamic banks do in fact manage profit distributions and if so, what factors are associated with the extent of profit distribution management. The results suggest that most Islamic banks manage profit distributions, with the extent of profit distribution directly related to religiosity, financial development, asset composition, and existence of discretionary reserves, while it is inversely related to market familiarity with Islamic banking, market concentration, depositor funding reliance and the age of the Islamic bank.     

Exploring a Regional Technical Efficiency Frontier in the Former USSR

Using 1971–90 panel data from a Siberian province, two econometric methods are used side by side to examine technical inefficiency with a suggestion as to how the methods might be used in sequence. Estimates derived from a random effects method reveal that technical inefficiency is both substantial and not time invariant. Results using either a random or fixed effects method suggest that existing estimates of technical inefficiency in centrally planned economies may be biased downward because of the choice of the estimation method. Using either method, the increasing technical inefficiency found is likely to be one cause of the decline in the performance of centrally planned economies and their regions.     

Using Simulation and Data Envelopment Analysis to Compare Assembly Line Balancing Solutions

This paper presents a technique for comparing the results of different assembly line balancing strategies by using Data Envelopment Analysis (DEA). Initially, several heuristics--which can be thought of as assembly line balancing strategies--were used to solve seven line-balancing problems. The resulting line balance solutions provided two pieces of information that were of particular interest: the number of workers needed and the amount of equipment needed. These two items were considered inputs for DEA. The different line balance solutions were then used as layouts for simulated production runs. From the simulation experiments, several output performance measures were obtained which were of particular interest and were used as outputs for DEA. The analysis shows that DEA is effective in suggesting which line balancing heuristics are most promising.     

Developing a process for the relative valuation of R&D programmes

This paper addresses the issue of R&D programme prioritisation within a manufacturing company in the aerospace industry, in the context of an overall framework for technology management. A review of approaches to R&D project selection leads into a recent case, which describes how the company developed a practical methodology. The benefits of the process and the relevance of the academic contribution are discussed, leading to a practical checklist for in-company development of a prioritisation process.     

A review of recent developments and applications of partial equilibrium models of the forest sector

Recent history has seen an increase in the utilization of partial equilibrium based forest sector models to identify potential impacts of various policies or timber market shocks. These models are particularly useful in that they employ economic theory to capture the interaction of supply and demand in a framework where commodity prices are endogenous to the policy or shock simulated. We present recent developments and linkages between models and review applications of these models to forest policy questions over the previous decade. We conclude with a discussion of potential future directions for such research.     

Decision neuroscience and consumer decision making

This article proposes that neuroscience can shape future theory and models in consumer decision making and suggests ways that neuroscience methods can be used in decision-making research. The article argues that neuroscience facilitates better theory development and empirical testing by considering the physiological context and the role of constructs such as hunger, stress, and social influence on consumer choice and preferences. Neuroscience can also provide new explanations for different sources of heterogeneity within and across populations, suggest novel hypotheses with respect to choices and underlying mechanisms that accord with an understanding of biology, and allow for the use of neural data to make better predictions about consumer behavior. The article suggests that despite some challenges associated with incorporating neuroscience into research on consumer decision processes, the use of neuroscience paradigms will produce a deeper understanding of decision making that can lead to the development of more effective decision aids and interventions.