TECHNICAL CHANGE IN PRODUCTION PROCESSES OF THE SEQUENTIAL INTERINDUSTRY MODEL

Transient processes important to understanding technical change are modeled using a time-varying version of the Sequential Interindustry Model, SIM. A simple process of technical change is explored, where a new production technique replaces an old one for one of an industry's production processes. Using several measures internal and external to the industry the model can help in understanding the complex processes of technical change, point to difficulties in their analysis, and suggest guidance to further examinations. An earlier version of this paper was presented at the Eighth International Conference on Input-Output Techniques, Sapporo, Japan, July 1986.     

Chefs and suppliers: An exploratory look at supply chain issues in an upscale restaurant alliance

This paper examines some basic issues associated with supply chains in the context of acquiring local ingredients as part of producing a culinary tourism experience. Based on data collected from Executive Chefs at Relais & Châteaux restaurants through surveys and personal interviews, the authors document producer-to-chef relationships, why and how local ingredients are featured in menu listings, and how chefs communicate their use of local ingredients to their guests. The results also describe chefs’ beliefs about the use of local ingredients, as well as potential issues related to the use of suppliers and their perceptions of their guests’ expectations for their meals.     

Towards sustainable tourism planning in New Zealand: Monitoring local government planning under the Resource Management Act

In the light of the increasing pace and scale of tourism activity in New Zealand, the concept of sustainable tourism has become a key ingredient in the nation's tourism strategy. This paper explores sustainable tourism planning in New Zealand at the level of local government, and in particular, focuses on the implementation of the Resource Management Act 1991 (RMA) as a mechanism for achieving sustainable tourism. Using the findings of a survey of Regional Councils and Territorial Local Authorities, the paper explores public sector planning responses to tourism impacts and sustainability concerns in New Zealand. The paper extends the earlier work of Page and Thorn (1997. Towards sustainable tourism planning in New Zealand: public sector planning responses. Journal of Sustainable Tourism 5(1): 59-77; 2002. Towards sustainable tourism development and planning in New Zealand: the public sector response revisited. Journal of Sustainable Tourism 10(3): 222-238), which identified major issues of concern at local council level with regard to tourism impacts and argued the need for a national vision for tourism to ensure that the RMA achieved its original goals. Since then, a national tourism strategy has been published and changes in legislation have further empowered local authorities to further progress the sustainability agenda. This paper examines these developments and the ensuing implications, concluding that significant progress has been made in developing tourism policies at the local level, but that a number of constraints and issues limit the development of New Zealand as a sustainable destination.     

The evolving brand logic: a service-dominant logic perspective

The meanings of brand and branding have been evolving over the past several decades. This evolution is converging on a new conceptual logic, which views brand in terms of collaborative, value co-creation activities of firms and all of their stakeholders and brand value in terms of the stakeholders’ collectively perceived value-in-use. The authors argue that this new logic parallels and reflects the related, evolving service-dominant (S-D) logic in marketing. They provide an historical account of the branding literature, organize it into eras, and connect it to the evolution in marketing as captured by S-D logic. The analysis provides further support for the S-D logic of marketing and suggests a related research agenda for furthering the understanding of brand and branding. It also suggests that marketing managers might benefit from investing resources in building strong brand relationships with all of their stakeholders and a service-dominant firm philosophy built around brand value co-creation.     

Justifying wrongful employee behavior: The role of personality in organizational sabotage

The role that personality plays in the justification of organizational sabotage behavior was examined. In a two phase study, 120 business students were first surveyed to create a list of 51 methods of sabotage. In the second phase, 274 other business students rated justifiability of the 51 methods and completed Machiavellian and hostility scales. A factor analysis of the justification ratings yielded four factors: (1) methods of sabotaging company profits and production, (2) informational sabotage, (3) violent and illegal methods, and (4) traditional labor methods of sabotage. A 2 (high versus low Machiavellianism) ×2 (high versus low hostility) ANOVA upon factor scores for justifiability revealed significant main effects for hostility and significant interactive effects on Factors 1 and 2. Results were discussed in terms of differences in management and blue collar methods of sabotage and in terms of a self-presentational approach to justification of sabotage. Robert A. Giacalone is currently Assistant Professor of Management Systems at the E. Claiborne Robins School of Business, University of Richmond. Dr. Giacalone has published a variety of articles in the areas of organizational impression management, organizational sabotage and business ethics. His book, Impression Management in the Organization, co-edited with Paul Rosenfeld, is due out in 1989.Stephen B. Knouse is currently Associate Professor of Management at the University of Southwestern Louisiana. Dr. Knouse has published numerous articles on the letter of recommendation and impression management.     

Introducing Environmental Variables in Nonparametric Frontier Models: a Probabilistic Approach

This paper proposes a general formulation of a nonparametric frontier model introducing external environmental factors that might influence the production process but are neither inputs nor outputs under the control of the producer. A representation is proposed in terms of a probabilistic model which defines the data generating process. Our approach extends the basic ideas from Cazals et al. (2002) to the full multivariate case. We introduce the concepts of conditional efficiency measure and of conditional efficiency measure of order-m. Afterwards we suggest a practical way for computing the nonparametric estimators. Finally, a simple methodology to investigate the influence of these external factors on the production process is proposed. Numerical illustrations through some simulated examples and through a real data set on Mutual Funds show the usefulness of the approach.JEL Classification: C13, C14, D20     

“Panelizing” Repeated Cross Sections

This paper considers the implementation of a non-stationary, heterogeneous Markov model for the analysis of binary dependent variables in a time series of repeated cross-sectional (RCS) surveys. The model offers the opportunity to estimate entry and exit transition probabilities and to examine the effects of time-constant and time-varying covariates on the hazards. We show how maximum likelihood estimates of the parameters can be obtained by Fishers method-of-scoring and how to estimate both fixed and time-varying covariate effects. The model is exemplified with an analysis of the labor force participation decision of Dutch and West German women using ISSP (and other) data from 10 annual Dutch surveys conducted between 1987 and 1996 and 7 annual West German surveys conducted between 1988 and 1994. Some open problems concerning the application of the model are discussed.     

Empirical Bayes analysis of log-linear models for a generalized finite stationary Markov chain

This article presents the empirical Bayes method for estimation of the transition probabilities of a generalized finite stationary Markov chain whose ith state is a multi-way contingency table. We use a log-linear model to describe the relationship between factors in each state. The prior knowledge about the main effects and interactions will be described by a conjugate prior. Following the Bayesian paradigm, the Bayes and empirical Bayes estimators relative to various loss functions are obtained. These procedures are illustrated by a real example. Finally, asymptotic normality of the empirical Bayes estimators are established.