Perceived managerial and leadership effectiveness within a Moroccan Higher Education Institution

The purpose of this research was to determine what behaviourally distinguishes effective and ineffective managers within a Moroccan Higher Education Institution (HEI). The critical incident technique (CIT) was the methodology deployed to collect data from participants in terms of how they perceive managers as either effective or ineffective. The collected data (CIs) were subjected to content and thematic analysis that resulted in derived positive and negative behavioural statements (BSs). A total of 42 participants/informants were interviewed and revealed a total of 418 CIs, of which 189 were positive CIs and 229 were negative. The analysis revealed a total of 49 BSs, of which 19 were positive and 30 were negative behavioural indicators. The findings of this investigation bring empirical evidence to understand what and how managers are perceived as effective or ineffective in the Moroccan academic context and, therefore, adds to the literature. The information obtained can also provide rich information/knowledge that can be used as a basis to address the behavioural developmental needs of managers in HEIs. This research adds value by following by following two previous replication studies in a French and a Hungarian HEI; moreover, this study is the first to be conducted in the Moroccan/North African region.     

Nanotechnology risk perceptions and communication: emerging technologies, emerging challenges

Nanotechnology involves the fabrication, manipulation, and control of materials at the atomic level and may also bring novel uncertainties and risks. Potential parallels with other controversial technologies mean there is a need to develop a comprehensive understanding of processes of public perception of nanotechnology uncertainties, risks, and benefits, alongside related communication issues. Study of perceptions, at so early a stage in the development trajectory of a technology, is probably unique in the risk perception and communication field. As such it also brings new methodological and conceptual challenges. These include: dealing with the inherent diversity of the nanotechnology field itself; the unfamiliar and intangible nature of the concept, with few analogies to anchor mental models or risk perceptions; and the ethical and value questions underlying many nanotechnology debates. Utilizing the lens of social amplification of risk, and drawing upon the various contributions to this special issue of Risk Analysis on Nanotechnology Risk Perceptions and Communication, nanotechnology may at present be an attenuated hazard. The generic idea of "upstream public engagement" for emerging technologies such as nanotechnology is also discussed, alongside its importance for future work with emerging technologies in the risk communication field.     

Decision Sciences Research in China: A Critical Review and Research Agenda—Foundations and Overview*

This article focuses on decision sciences research in China, providing an overview of current research and developing a foundation for future China‐based research. China provides a unique research opportunity for decision sciences researchers, owing to its recent history, rapid economic development, and strong national culture. We examine recent economic reforms and their impact on the development of research questions in the decision sciences, as well as discuss characteristics of the diverse regions in China and their potential as sites for various types of research. We provide a brief overview of recent China‐based research on decision sciences issues relating to national culture, supply chain management, quality management, production planning and control, operations strategy, and new product development and discuss some of the unique methodological challenges inherent in China‐based research. We conclude by looking forward to emerging research opportunities in China.     

Optimal Price and Quantity of Refurbished Products

Many retail product returns can be refurbished and resold, typically at a reduced price. The price set for the refurbished products affects the demands for both new and refurbished products, while the refurbishment and resale activities incur costs. To maximize profit, a manufacturer in a competitive market must carefully choose the proportion of returned products to refurbish and their sale price. We model the sale, return, refurbishment, and resale processes in an open queueing network and formulate a mathematical program to find the optimal price and proportion to refurbish. Examination of the optimality conditions reveals the different situations in which it is optimal to refurbish none, some, or all of the returned products. Refurbishing operations may increase profit or may be required to relieve a manufacturing capacity bottleneck. A numerical study identifies characteristics of the new product market and refurbished products that encourage refurbishing and some situations in which small changes in the refurbishing cost and quality provoke large changes in the optimal policy.     

Information-Processing Alternatives for Coping with Manufacturing Environment Complexity

Investment in information systems and technology is often justified as a necessary strategy for coping with the increased complexity and information needs of today/s manufacturing environments. However, the world class manufacturing paradigm suggests that increased complexity is not always necessary to meet the needs of markets and customers. Galbraith/s (1973, 1977) seminal information-processing model is applied to a manufacturing environment, supported by the world class manufacturing paradigm, to test the role of various information-processing alternatives for coping with increased environmental complexity. Moderated regression and multiple discriminant analysis are used to test hypotheses in a sample of 164 manufacturing plants. Environmental complexity was found to be related to manufacturing performance for each of the five dependent variables. This relationship was moderated by at least one information-processing alternative for each dependent variable, including self-contained tasks, lateral relations, and environmental management strategies for reducing manufacturing, supplier, and goal diversity. Investments in information systems and reduction of labor and customer diversity did not moderate this relationship. Practices that were found to be particularly effective in moderating this relationship included the use of multifunctional employees, communication of manufacturing strategy, coordination of decision making, product design simplicity, reduction of parts counts, supervisory interaction facilitation, recruiting and selection for flexible employees, JIT practices, blanket purchase orders, and strong customer relationships.     

Model-based clustering,classification, and discriminant analysis of data with mixed type

We propose a mixture of latent variables model for the model-based clustering, classification, and discriminant analysis of data comprising variables with mixed type. This approach is a generalization of latent variable analysis, and model fitting is carried out within the expectation-maximization framework. Our approach is outlined and a simulation study conducted to illustrate the effect of sample size and noise on the standard errors and the recovery probabilities for the number of groups. Our modelling methodology is then applied to two real data sets and their clustering and classification performance is discussed. We conclude with discussion and suggestions for future work.     

T-optimum designs for discrimination between two multiresponse dynamic models

Summary.  The paper is concerned with a problem of finding an optimum experimental design for discriminating between two rival multiresponse models. The criterion of optimality that we use is based on the sum of squares of deviations between the models and picks up the design points for which the divergence is maximum. An important part of our criterion is an additional vector of experimental conditions, which may affect the design. We give the necessary conditions for the design and the additional parameters of the experiment to be optimum, we present the algorithm for the numerical optimization procedure and we show the relevance of these methods to dynamic systems, especially to chemical kinetic models.     

Journal Access Initiatives: Where Are They? Why the World Health Organization? and What Is HINARI?

The move from print to online journal publishing has allowed the proliferation of journal access programs aimed at poor countries. These programs offer access to online journals on very favorable terms to developing country institutions and readers and are based on the premise that developing world scientists can contribute significantly to ameliorating the conditions of life in their countries. The authors give a brief overview of the environment in which these programs emerged, discuss different orientations of the major programs, examine the case of the Health InterNetwork Access to Research Initiative (HINARI), consider why the World Health Organization (WHO) runs a journal access program for developing countries, and conclude with the accomplishments of HINARI.     

Beyond the Self: External Influences in the Career Development Process

The purpose of this article is to explore the wide spectrum of external influences that affect career decision making across the life span and, in particular, how these factors may directly or indirectly alter one's career trajectory and the extent of one's work volition. Career development practitioners are encouraged to respect externally oriented frameworks, explore the social influence of career choice alternatives faced by clients, encourage clients to voice their emotional responses to external constraints, and use career decision‐making strategies that seek an optimal balance of internal and external influences.