Graph colouring approach for cell formation problems

This paper presents a graph-theoretic approach for solving the clustering problem in group technology. The machine-component incidence matrix is used to form the weight matrix. Using the two weight matrices, one for the machines and the other for the parts, two graphs are developed. The nodes of each graph are coloured using the proper colouring method. An edge, whose adjacent nodes are of same colour, partitions the graph into subgraphs, thus creating machine-part cells. This cell formation method yields solutions which compare favourably with respect to other available methods. This procedure is illustrated using an example problem from the literature.     

QUANTITATIVE TECHNIQUES IN MARKETING: AN ASSESSMENT OF TEACHING AND USAGE PATTERNS

This paper presents the perspectives of quantitative techniques in academics and practice. Based on the findings of an empirical study, the academicians and practitioners emphasize different techniques and prefer different journals for keeping abreast. This reveals the areas for curriculum improvement to orient the program toward the practitioners.     

Lights and shadows on sustainability rating scoring

Many organizations currently publish sustainability ratings that quantify the sustainability of firms by aggregating scores. These organizations analyze companies in economic, social, environmental and corporate governance terms. However, some of these scores are associated with problems of how positive and negative assessments are offset. This work proposes a methodology for using fuzzy logic in the design of a comprehensive sustainability rating for firms. This technique for measuring sustainability addresses the complexity of the concept and enables the incorporation of expert knowledge into the system of assessment. This approach is applied to organizational information taken from the 2008 Accountability Rating and corrects one of the weaknesses revealed by methodologies based on the aggregation of scores—the offset effect—enabling decision-maker to manage it. This is considered an important research topic because of the growth of social responsible financial markets, and the fact that investors are demanding more accurate information.     

Multidimensional Approach for Tsunami Vulnerability Assessment: Framing the Territorial Impacts in Two Municipalities in Portugal

This study presents a new multidimensional methodology for tsunami vulnerability assessment that combines the morphological, structural, social, and tax component of vulnerability. This new approach can be distinguished from previous methodologies that focused primarily on the evaluation of potentially affected buildings and did not use tsunami numerical modeling. The methodology was applied to the Figueira da Foz and Vila do Bispo municipalities in Portugal. For each area, the potential tsunami‐inundated areas were calculated considering the 1755 Lisbon tsunami, which is the greatest disaster caused by natural hazards that ever occurred in Portugal. Furthermore, the four components of the vulnerability were calculated to obtain a composite vulnerability index. This methodology enables us to differentiate the two areas in their vulnerability, highlighting the characteristics of the territory components. This methodology can be a starting point for the creation of a local assessment framework at the municipal scale related to tsunami risk. In addition, the methodology is an important support for the different local stakeholders.     

A management strategy for information processing. 1—The Segas case

This is the first of three articles by the same author on Management Strategy for Information Processing. This article presents the Segas Case History and shows how if has tackled the implementation of Information Technology over the past 7 years. The second paper will discuss the methodology known as Business Systems Planning for assessing future computer requirements, and the third paper will examine the need for managements to have access to computing facilities.     

The effect of investment on unit cost and on profit

This paper investigates the effects of investment decisions on unit cost, profit and return on capital. Its purpose is to propose an alternative formulation to conventional cash flow methods for investment appraisal. This formulation can be combined with a methodology for assessing the short-run effects of management decisions and/or external factors on cost and profit performance measures.     

A Comparison of Ethical Practices of Russian and American Managers

This study examines perception of various business practices of Russian and American managers. Using data collected from 136 Russian managers and 252 American managers we found that cross-national differences account for many differences between perceptions of business practices. Implications for managerial practice are discussed. This revised version was published online in July 2006 with corrections to the Cover Date.     

Personality and Perceived Business Values: Synergistic Effects for the Myers–Briggs Type Indicator and Management Ratings

This paper identified additive and synergistic effects of personality for management ratings of business values. Results were discussed in terms of theoretical implications for the MBTI and type theory as well as implications for management within business organizations. There appears to be a natural affinity (and antipathy) between some personality types or forms and certain business values. This revised version was published online in July 2006 with corrections to the Cover Date.     

Qualifikation von Ausbildungssupervisoren in der Sozialen Arbeit – Kontexte,Methoden und Erfahrungen

This article moots the issue of how to support students of social work and social pedagogy to develop the prerequisites for a professional exercise within their future vocational role by dint of supervision. Academical training has to offer spaces for reflecting the relationship between clients and their assistants and for the student’s self-development as well. Methodical settings are reflected for the vocational training of students. Of what kind are the relationships between knowledge transfer, practical guidance and supervision? This article pleads for supervision as an educational program and specifies the qualifications for supervisors.     

Small firms in multipartner R&D alliances: Gaining benefits by acquiescing

This study highlights how smaller firms gain advantages through exchange strategies in alliances. Based on a sample of 141 firms involved in multipartner alliances governed by cooperative exchange norms, our findings support the hypothesis that smaller firms are more likely than larger firms to comply with cooperative exchange norms. This finding is especially valid for firms in manufacturing industries and can positively influence new product development. This study is a starting point for additional research investigating how, when, and why firms can benefit from engaging in multipartner alliances, even if they are a relatively small player.     

Is There Still a Wage Penalty for Being Overeducated But Well‐matched in Skills? A Panel Data Analysis of a Swiss Graduate Cohort

Using two periods' panel data from the Swiss Graduate Survey, this study examines the incidence, persistence and wage effects of overeducation. An alternative measure of overeducation that accounts for graduate heterogeneity in perceived skills mismatch is used. This analysis differs from previous panel data studies in that two estimation methods are applied to control for unobserved ability. Results indicate that graduates who are overeducated and mismatched in skills are the most penalized in terms of earnings. This evidence is still valid when unobserved ability is accounted for, whereas the pay penalty is no more significant for graduates who are overeducated but matched in skills. This result is robust to different definitions of perceived skills mismatch and is consistent with the notion that apparent overeducation reflects a lack of unobserved attributes, such as ability.     

Evolving the latent variable model as an environmental DEA technology

This article tests several nonparametric DEA models for their ability to accurately decompose CO₂ emissions change using a Malmquist styled decomposition framework. This production oriented activity analysis involves panel data and two data sets from the literature for comparison. A new Latent Variable radial input-oriented technology is introduced that is closely associated with a Koopmans Efficient Slacks Based Model. The Latent Variable technology simultaneously reduces inputs and undesirable outputs in a single Multiple Objective Linear Program. This production theoretic methodology is adapted to preserve both scale efficiency and causality within the envelopment framework. Finally, the application studies demonstrate the internal consistency of the Latent Variable reduction coefficients, which overturns previous results and paves the way for further research into undesirable externalities.     

Mechanisms for Managing Ambidexterity: A Review and Research Agenda

Ambidexterity is of central importance to the competitive advantage of the firm, yet to date there is limited understanding of how it is managed. The theorization of ambidexterity is inadequate for complex, practical realities and, in turn, this hinders the way in which it can aid the management of ambidexterity in practice. This paper asks: What are the mechanisms for achieving ambidexterity? The authors use a systematic review to develop a research framework which integrates intellectual capital resources (organizational, social and human capital) across various levels of analysis (organization, group and individual). This review extends understanding of the generic mechanisms (i.e. temporal, structural and contextual ambidexterity) that dominate the literature. This allows for a more fine‐grained understanding of how ambidexterity is achieved and enables avenues for further research to be identified.     

Bayesian approach for optimal PV system sizing under climate change

This paper proposes a novel statistical approach for optimally sizing a stand-alone photovoltaic (PV) system under climate change. Traditionally, the irradiation profile of a typical day or year is used to size PV systems. However, facing the global warming crisis as well as the fact that no two years would have the same weather condition for a single site, this often makes the traditional way failed in the extreme weather conditions. This paper presents a method to statistically model the trend of climate change year by year and put it into the sizing formula, so that the results are optimal for the current weather condition and confidential for the future as well. Hence, the suitable sizes for the PV array and the number of batteries are obtained by pure computation. This is different from the traditional simulation-based sizing curve method. An economic optimization procedure is also presented. In addition to the capital and maintenance costs, a penalty cost is introduced when service fails. A new statistic-based reliability index, the loss of power probability, in terms of threshold-based Extreme Value Theory is presented. This index indicates the upper bound reliability for applications and provides rich information for many extreme events. A technological and economic comparison among the traditional daily energy balance method, sizing curve method and the proposed approach is conducted to demonstrate the usefulness of the new method.     

Development of a purchasing portfolio model: an empirical study in a Brazilian hospital

This study was motivated by the complexity of managing hospital purchases. This area of activity is characterised as having a great diversity of items to be purchased, classes and suppliers, which impacts the business, costs and health risks for patients in many ways. Our paper presents the development of an approach to managing a purchasing portfolio for a large Brazilian hospital, using Kraljic’s model, the Fuzzy-TOPSIS method and decision rules as methodological resources. We discuss the results and summarise a set of managerial implications for our case study, thereby demonstrating the effectiveness of our proposal. This study also contributes to expanding the application domain of Kraljic’s model, in which the Fuzzy-TOPSIS method has proved a flexible tool, and supports solving sorting problems.     

Assessing Cancer Risks from Short-Term Exposures in Children

For the vast majority of chemicals that have cancer potency estimates on IRIS, the underlying database is deficient with respect to early-life exposures. This data gap has prevented derivation of cancer potency factors that are relevant to this time period, and so assessments may not fully address children's risks. This article provides a review of juvenile animal bioassay data in comparison to adult animal data for a broad array of carcinogens. This comparison indicates that short-term exposures in early life are likely to yield a greater tumor response than short-term exposures in adults, but similar tumor response when compared to long-term exposures in adults. This evidence is brought into a risk assessment context by proposing an approach that: (1) does not prorate children's exposures over the entire life span or mix them with exposures that occur at other ages; (2) applies the cancer slope factor from adult animal or human epidemiology studies to the children's exposure dose to calculate the cancer risk associated with the early-life period; and (3) adds the cancer risk for young children to that for older children/adults to yield a total lifetime cancer risk. The proposed approach allows for the unique exposure and pharmacokinetic factors associated with young children to be fully weighted in the cancer risk assessment. It is very similar to the approach currently used by U.S. EPA for vinyl chloride. The current analysis finds that the database of early life and adult cancer bioassays supports extension of this approach from vinyl chloride to other carcinogens of diverse mode of action. This approach should be enhanced by early-life data specific to the particular carcinogen under analysis whenever possible.     

A simplified algorithm for the depot location problem

This paper describes a simplified optimization algorithm used for the solution of a classical depot location problem as presented in a Greek Manufacturing Company. Algorithms in the literature for this type of problem are based on the assumption of predetermined fixed costs which are independent of the final size of the depots. This assumption is usually far from reality; the size of each depot does not remain constant during the optimization process and so does the associated fixed cost which is variable with the size of the depot. This assumption is relaxed in the proposed algorithm; the associated fixed cost is modified each time a new customer is allocated to a depot thus changing the required depot size.     

Moral Aspects of Executive Leadership

This paper argues that the crisis in management is a crisis in leadership and that the heart of leadership is the moral challenge for managers to see themselves and others as colleagues and collaborators. The search for a new leadership paradigm is a call to foster the human spiritual dimension which respects the deepest concerns and values of everyone in the enterprise. Islamic beliefs and heritage provide a natural basis for transformational leadership and for implementing a paradigm shift which integrates spirituality and work. This revised version was published online in July 2006 with corrections to the Cover Date.     

A model for regulatory reform in Canada: From “command-and-control” to “assured compliance”

Due, in part, to severe budget constraints, the Alberta Energy and Utilities Board (EUB) moved from a traditional command-and-control regulatory system to a system that incorporates several characteristics of self-regulation. The EUB, the regulatory body for the energy industry in Alberta, Canada, refers to the new system as “compliance assured by audit and penalty”. This new system, which may have relevance to other nations struggling with similar developments, utilizes a classification scheme based on a company's past performance. This allows the EUB to target resources toward companies identified as having the greatest need for regulatory performance improvement. This case study discusses the drivers for change, the process of change and the lessons learned, and raises several questions relating to the business implications.     

A comparison of Japanese failure models: Hybrid neural networks,logit models,and discriminant analysis

This article looks at the ability of a relatively new technique, hybrid artificial neural networks (ANNs), to predict Japanese banking and firm failures. These models are compared with traditional statistical techniques and conventional ANN models. The results suggest that hybrid neural networks outperform all other models in predicting failure for one year prior to the event. This suggests that for researchers, policymakers, and others interested in early warning systems, the hybrid network may be a useful tool for predicting banking and firm failures.