Competitive Advantage, Quality Strategy and the Role of Marketing

The improvement of product and service quality has been widely discussed in the literature as an appropriate competitive strategy for achieving sustainable competitive advantage. However, neither the linkage between competitive strategy and quality, nor the role of marketing in the implementation of quality-based competitive strategy, has received detailed attention in the marketing and strategy literatures. This paper explores the interface between marketing and quality management in seller organizations, by developing a contingency model of quality strategy. This model is grounded in the literatures of marketing, strategy and quality management, and the perceptions of managers uncovered in exploratory interviews.     

Trans-ideological business values in international codes of conduct

Traditionally, scholars of international business have been unconcerned with ethics and values, in part due to the widely-held belief that standards vary across cultures and ideologies. Recently, however, business ethicists have considered whether there are some business-related values that are shared across cultures. Through an analysis of the codes of conduct for multinational enterprises of four international organizations, five trans-ideological business values are discovered. They are national sovereignty, social equity, human rights, market integrity and organizational autonomy. The consensus in values is critically important for both scholarship and management.An earlier version of this paper was presented at the Second Annual Meeting of the International Association of Business and Society (March 1991). The author would like to thank three anonymous reviewers for their helpful comments on earlier drafts.     

Mlonte Carlo Techniques for Quantitative Uncertainty Analysis in Public Health Risk Assessments

Most public health risk assessments assume and combine a series of average, conservative, and worst-case values to derive a conservative point estimate of risk. This procedure has major limitations. This paper demonstrates a new methodology for extended uncertainty analyses in public health risk assessments using Monte Carlo techniques. The extended method begins as do some conventional methods--with the preparation of a spreadsheet to estimate exposure and risk. This method, however, continues by modeling key inputs as random variables described by probability density functions (PDFs). Overall, the technique provides a quantitative way to estimate the probability distributions for exposure and health risks within the validity of the model used. As an example, this paper presents a simplified case study for children playing in soils contaminated with benzene and benzo(a)pyrene (BaP).     

Towards an Objective Classification Scheme for Organizational Task Environments

This study replicates, refines, cross-validates and simplifies a scheme of operationalization and measurement of environmental dimensions proposed by Dess and Beard (1984). Employing a sample of 60 industries and data over a 16-year period, this study found considerable support for the viability of the three dimensions of munificence, dynamism and complexity. The data intensive and computationally complex operationalization scheme was simplified using a discriminant analysis approach and the discriminant functions were cross-validated using an alternate data set.     

European management: An emerging competitive advantage of European nations

This article extends the debate begun in the June 1992 issue of EMJ when the authors first criticized Michael Porter's explanatory framework in his Competitive Advantage of Nations (1990), over the role of national culture on the competitive advantage of nations. In this paper, Frans van den Bosch and Arno van Prooijen stress that Europe is a locus of competitive advantage if one is prepared to pay attention to the possibility of ‘European Management’ as a potential asset of European firms. In this connection, the transnationalization of European firms is of importance.     

Machine learning for multi-criteria inventory classification applied to intermittent demand

Multi-criteria inventory classification groups inventory items into classes, each of which is managed by a specific re-order policy according to its priority. However, the tasks of inventory classification and control are not carried out jointly if the classification criteria and the classification approach are not robustly established from an inventory-cost perspective. Exhaustive simulations at the single item level of the inventory system would directly solve this issue by searching for the best re-order policy per item, thus achieving the subsequent optimal classification without resorting to any multi-criteria classification method. However, this would be very time-consuming in real settings, where a large number of items need to be managed simultaneously.

In this article, a reduction in simulation effort is achieved by extracting from the population of items a sample on which to perform an exhaustive search of best re-order policies per item; the lowest cost classification of in-sample items is, therefore, achieved. Then, in line with the increasing need for ICT tools in the production management of Industry 4.0 systems, supervised classifiers from the machine learning research field (i.e. support vector machines with a Gaussian kernel and deep neural networks) are trained on these in-sample items to learn to classify the out-of-sample items solely based on the values they show on the features (i.e. classification criteria). The inventory system adopted here is suitable for intermittent demands, but it may also suit non-intermittent demands, thus providing great flexibility. The experimental analysis of two large datasets showed an excellent accuracy, which suggests that machine learning classifiers could be implemented in advanced inventory classification systems.     

Synergy from configuration of global production networks: drivers,mechanisms, and outcomes

Abstract

This paper explores the network synergies available from the configuration of highly dispersed, global production networks (GPNs). Synergy theory from the literature on intra-firm and inter-firm GPNs is examined in terms of drivers, mechanisms and outcomes. An explanatory model is developed and enriched via a series of extended case studies of firms undertaking re-configuration of their GPNs during the period 2003–2014. The primary finding is that firms create synergy in their GPNs by selecting specific configuration mechanisms, in response to a certain set of external drivers, in order to achieve certain synergistic outcomes. The paper classifies the main types of drivers, mechanisms and outcomes in terms of key variables and discusses their inter-connections and relationships.     

Forecasting organizational changes

In this article the author argues that because of the difficulties associated with human behaviour such factors are frequently omitted from forecasts. Yet no organization can afford to disregard these factors if their forecasts are to be meaningful. The author includes illustrations of organizational change which he maintains will spread rapidly. Finally he discusses his own initial experiments in forecasting organizational change.     

Rural development and women: what are the best approaches to communicating information?

The project reported in this article aimed to discover how well the needs of women were being met with respect to rural development and to identify the best approaches to communicating information to farmers in Tanzania. Semi-structured interviews of male and female respondents in selected 200 households in Shinyanga, northwestern Tanzania, were conducted. The interviews were conducted in order to record data on gender differences in farming and herding with the aim of determining how to communicate information on development. Findings showed that women continued to be the poorest group in the community. Use of introduced technology was mostly associated with men's work. The activities of Hifadhi Ardhi Shinyanga conducted through communication channels were also more accessible to men than women. The improved stoves specifically aimed at women also failed because of ineffective communication strategies. It is difficult to approach women because they tend to be tied far more closely to the area of their homes. Thus, training through village workshops would encourage the active participation of women. This would enable information to be shared with, and between, as many women as possible.     

"Lazy men", time-use,and rural development in Zambia

This paper examines how work and the labor in agriculture in rural sub-Saharan Africa is measured. Section 1 presents a historical example of colonial discourses of the "lazy" African (the Lamba in Zambia). Section 2 analyzes a study carried out in rural Zambia to illustrate the relationship between stereotypes held by many Europeans, particular aspects of the colonial project, and the social relations brought about by colonialism. Section 3 examines the ways in which present work and labor approaches in sub-Saharan Africa embody value judgements which leads to distorted documentation of the division of labor between opposite genders. Sections 4 through 7 look at a time-use study conducted in Zambia and argue that studies of such nature create value judgement on what comprises work, and about how researchers and planners classify this. Overall, this article has demonstrated that time-use surveys may provide inadequate understanding of women and men's work in the absence of an understanding of the local context in which the work is undertaken, and of labor markets.