Organizational Symbolism as a Social Construction: A Perspective from the Sociology of Knowledge

This article describes organizational symbolismfrom a sociology of knowledge perspective and considersboth the theoretical and extra-theoretical bases of thesymbolic approach. It illustrates the distinctive principles of the symbolic approach withrespect to other methods used in the study oforganizations, the concepts on which it is based, andthe organizational issues on which it has shedsignificant light. Symbolist studies of organizations haverefocused scholarly attention on the multidisciplinaryunderstanding of the logos, ethos, and pathos oforganizational life. They have done so by stressing the production of knowledge tout court, rather thanconcerning themselves with the applicability of theorganizational knowledge acquired by this approach formanagerial purposes. Organizational symbolism is described in the article as a fluctuatingand emerging social construction whose growth and spreadhas been fostered by support within academia.     

THE ECONOMICS OF CAPACITY AND MARKETING MEASURES IN A SIMPLE MANUFACTURING ENVIRONMENT

As manufacturing firms push to achieve shorter lead times and higher levels of customer service, the basic capability of underlying manufacturing processes must be reexamined. The capacity and operational variability of a process dictate a certain set of realistic performance goals. In this paper, we examine this fundamental relationship from an economic perspective using two levels of analysis. At the aggregate level, we model the manufacturing process as a single server queue and compare the traditional roles of marketing and manufacturing in setting performance and process design parameters. Insights gained at this level are incorporated into the analysis of a realistic multiserver, multistation manufacturing line. We develop an interaction decision tool to guide the selection of process and performance parameters in this more complex environment.     

The social field of the European corporate elite: a network analysis of interlocking directorates among Europe's largest corporate boards

In this article I investigate the emerging patterns of the European corporate elite network as an example of a European social field, as described by Fligstein. The findings confirm that interlocking directorates form a European corporate network. However, the intercorporate network rests on a very small group of European corporate elite members: it remains the playground of a select few pan‐European ‘big linkers’. Although financial institutions and bankers appear in the upper echelons of the network, they do not occupy crucial positions. Rather, (former) CEOs of Europe's largest big non‐financial businesses knit together the network of interlocking directorates. The network rests on a coalescence of finance and industry, rather than on the dominance of the one over the other. Although the project of European unification has been quite successful in organizing the formal institutional structures, it has not yet led to reproduction of a European business community reminiscent of the national communities.     

Some Brief Comments on the Jaques Amado Debate

Comments on the Jaques–Amado debate seekto show why it is necessary in organization consultancyto understand both the organization role context and theindividual psychoanalytic perspective. Failure to understand both, it is suggested, could doviolence to the person and the organization.     

When theory meets methods: the naissance of computer assisted corporate interlock research

In this article, we study the emergence of computer aided network analysis as an example of ‘Mertonian’ multiple discovery. Computer assisted quantitative network analysis emerged around 1970 and small groups of researchers in different universities, who were independent of each other and looking for the right concepts and computer programs to implement graph theory in social analysis, first applied it to corporate interlock networks. We show how mathematical graph theory provided a toolbox for systematic network analysis and that simultaneously in the Netherlands and the United States this toolbox found an application in the study of corporate power. A historical narrative covers the three main centres in which large‐scale corporate network analysis emerged – Amsterdam, California and Stony Brook. For each centre, we provide a sketch of the people involved, the tools they used, and the motivations that brought them to this topic. Our analysis makes clear that one cannot understand the emergence of computer aided network analysis without considering the personal and often political motivations of those who engaged in the first board interlock studies. Insurgent students of political science and sociology pushed for a research agenda on corporate power and found support from scholars who were keen to develop innovative network analysis methods. Hence, corporate network analysis became a legitimate field of research.     

AN EMPIRICAL EXAMINATION OF THE UNDERLYING DIMENSIONS OF PURCHASING COMPETENCE

The importance of evaluating the effectiveness of the purchasing function in firms along multiple criteria has attracted considerable attention. However, few studies have identified the defining elements that constitute purchasing competence. This paper introduces the construct of purchasing competence using a second‐order factor structure derived from purchasing practices identified from the literature. The validity of the construct (purchasing competence) is tested using data from a sample of 179 firms. The results indicate (1) the construct validity of purchasing competence and (2) the predictive validity of purchasing competence, which has a significant positive influence on total quality management performance and customer satisfaction. The implications of these findings for additional research are discussed.     

Understanding the geographical development of social movements: a web‐link analysis of Slow Food

Slow Food (SF) is a global, grassroots movement aimed at enhancing and sustaining local food cultures and traditions worldwide. Since its establishment in the 1980s, Slow Food groups have emerged across the world and embedded in a wide range of different contexts. In this article, we explain how the movement, as a diverse whole, is being shaped by complex dynamics existing between grassroots flexibilities and emerging drives for movement coherence and harmonization. Unlike conventional studies on social movements, our approach helps one to understand transnational social movements as being simultaneously coherent and diverse bodies of collective action. Drawing on work in the fields of relational geography, assemblage theory and webometric research, we develop an analytical strategy that navigates and maps the entire Slow Food movement by exploring its ‘double articulation’ between the material‐connective and ideational‐expressive. Focusing on representations of this connectivity and articulation on the internet, we combine methodologies of computation research (webometrics) with more qualitative forms of (web) discourse analysis to achieve this. Our results point to the significance of particular networks and nodal points that support such double movements, each presenting core logistical channels of the movement's operations as well as points of relay of new ideas and practices. A network‐based analysis of ‘double articulation’ thus shows how the co‐evolution of ideas and material practices cascades into major trends without having to rely on a ‘grand', singular explanation of a movement's development.     

A SYSTEMATIC STRATEGY FOR OPTIMIZING MANUFACTURING OPERATIONS

A manufacturing optimization strategy is developed and demonstrated, which combines an asset utilization model and a process optimization framework with multivariate statistical analysis in a systematic manner to focus and drive process improvement activities. Although this manufacturing strategy is broadly applicable, the approach is discussed with respect to a polymer sheet manufacturing operation. The asset utilization (AU) model demonstrates that efficient equipment utilization can be monitored quantitatively and improvement opportunities identified so that the greatest benefit to the operation can be obtained. The process optimization framework, comprised of three parallel activities and a designed experiment, establishes the process-product relationship. The overall strategy of predictive model development provided from the parallel activities comprising the optimization framework is to synthesize a model based on existing data, both qualitative and quantitative, using canonical discriminant analysis, to identify main effect variables affecting the principal efficiency constraints identified using AU, operator knowledge and order-of-magni-tude calculations are then employed to refine this model using designed experiments, where appropriate, to facilitate the development of a quantitative, proactive optimization strategy for eliminating the constraints. Most importantly, this overall strategy plays a significant role in demonstrating, and facilitating employee acceptance, that the manufacturing operation has evolved from an experienced-based process to one based on quantifiable science.     

PROCESS IMPROVEMENT: AN EXPLORATORY DATA ANALYSIS APPROACH WITHIN AN INTERVAL-BASED OPTIMIZATION FRAMEWORK

This article revisits an old problem; “systematically explore the information contained in a set of operating data records and find from it how to improve operational performance by taking the appropriate decisions in the space of operating conditions,” thus leading to continuous process improvement. A series of industrial case studies within the framework of the internships in the Leaders for Manufacturing (LFM) program at Massachusetts Institute of Technology led us to a reexamination of the traditional formulations for the above problem. The resulting methodology is characterized by the following features: (1) problem statement and solutions are expressed in terms of hyperrectangles in the decision space, replacing conventional pointwise results; (2) data-driven, nonparametric learning methodologies were advanced to produce the requisite mapping between performance and decisions; (3) operating performance is in essence multifaceted, leading to a multiobjective problem, which is treated as such. The proposed methodology has been applied to a number of industrial examples and in this paper we provide a brief overview only of those that can be discussed in the open literature.