A Conceptual Model for Researching the Creation and Operation of Supply Networks1

This paper presents a conceptual model for the creation and operation of supply networks. Existing conceptual research relating to interorganizational relationships and networks is reviewed in terms of its relevance to understanding supply networks; this research is drawn from the fields of strategic management, channel management, industrial marketing and purchasing, organizational behaviour and supply‐chain management. The different perspectives each field has on networks are highlighted. Contributions made by each in assisting to understand supply networks are discussed and synthesized. Findings from an exploratory survey are used to structure the design of a conceptual model for analysing the processes involved in the creation and operation of supply networks. The authors identify nine different types of networking activities and discuss the nature of these activities in the context of supply. Four different types of contextual factors relating to supply networks are identified. The model is tested in eight in‐depth case studies and a validating survey of 58 focal firm networks. It is concluded that it provides a robust structure that enabled complex, cross‐case analysis of multi‐variable, multi‐disciplinary data from interorganization product/service supply networks, but that further testing by other researchers is required.     

Developing the Concept of Transparency for Use in Supply Relationships

Management concern surrounding the supply of goods and services from business to business, and the related attempts to understand the phenomena observed therein, appears to rest upon a broad range of incompatible perspectives, from political science (often limited to considerations of power) to the logistical (akin to manipulation of a great, benign but dynamic jigsaw puzzle). It appears that all perspectives abrade against the difficulties of exchanging information, knowledge and innovation within the relationships between buying and selling organizations and the apparent chronic systemic inefficiency that transactions often represent in this context. This article addresses these concerns, exploring the concept of transparency and the developments necessary for it to be useful in exchanging sensitive information and tacit knowledge in supply relationships. Our central concern is how the understanding of transparency and its commercial importance may change when it is expressed as a manageable element of the relationship between two organizations rather than as a general property of a broader system (e.g. a supply network, industrial sub-sector, geographical cluster) and what utility this differentiation might hold for managers. The conclusion to the article, and the implication for managers, is that transparency might indeed be created and usefully managed within supply relationships but that it would differ fundamentally in meaning from previously posited concepts, with the same name, in different contexts.     

Is the Precautionary Principle Really Incoherent?

The Precautionary Principle has been an increasingly important principle in international treaties since the 1980s. Through varying formulations, it states that when an activity can lead to a catastrophe for human health or the environment, measures should be taken to prevent it even if the cause‐and‐effect relationship is not fully established scientifically. The Precautionary Principle has been critically discussed from many sides. This article concentrates on a theoretical argument by Peterson (2006) according to which the Precautionary Principle is incoherent with other desiderata of rational decision making, and thus cannot be used as a decision rule that selects an action among several ones. I claim here that Peterson's argument fails to establish the incoherence of the Precautionary Principle, by attacking three of its premises. I argue (i) that Peterson's treatment of uncertainties lacks generality, (ii) that his Archimedian condition is problematic for incommensurability reasons, and (iii) that his explication of the Precautionary Principle is not adequate. This leads me to conjecture that the Precautionary Principle can be envisaged as a coherent decision rule, again.     

Embracing Indeterminacy: On Being a Liminal Professional

The rise of the corporate profession has contributed to a more varied and ambiguous professional terrain that is increasingly seen to be indeterminate and fluid. This paper advances the current debate around the development of corporate professions, exploring how practitioners respond to this environment. Drawing on research with public relations practitioners, the paper shows how the idea of being a liminar facilitates the formation of a professional identity in conditions of high indeterminacy. In taking an individual level of analysis of professions, the paper suggests that indeterminacy is a more resonant feature for corporate professionals than previously suggested in the research, but that this indeterminacy is navigated in professional identity construction through ‘being a liminar’, and thus greater nuance may need to be recognized in the conceptualization of both corporate professions and corporate professionalization. It also demonstrates the use of liminality as a discursive resource in identity construction and with it, challenges the common association of liminality with self‐doubt and existential anxiety. In turn, the paper considers the implications of the liminal professional identity for the future of contemporary professions, and for understanding the liminal experience.     

Constructing Trustworthy Historical Narratives: Criteria,Principles and Techniques

Organizational scholars increasingly recognize the value of employing historical research. Yet the fields of history and organization studies struggle to reconcile. In this paper, the authors contend that a closer connection between these two fields is possible if organizational historians bring their role in the construction of historical narratives to the fore and open up their research decisions for discussion. They provide guidelines to support this endeavor, drawing on four criteria that are prevalent within interpretive organization studies for developing the trustworthiness of research: credibility; confirmability; dependability; and transferability. In contrast to the traditional use of trustworthiness criteria to evaluate the quality of research, the authors advance the criteria to encourage historians to generate more transparent narratives. Such transparency allows others to comprehend and comment on the construction of narratives, thereby building trust and understanding. Each criterion is converted into a set of guiding principles to enhance the trustworthiness of historical research, pairing each principle with a practical technique gleaned from a range of disciplines within the social sciences to provide practical guidance.     

Value drivers of social businesses: A business model perspective

Hybrid organizational forms that combine commercial and welfare institutional logics play an increasingly important role in addressing the grand societal challenges we face today. Building on the literatures on hybrid organizations and social business models, we explore the characteristics of social businesses from a business model perspective. This study seeks to better understand the particularities and value drivers of hybrid social purpose in contrast to purely commercial business models. We follow a grounded theory approach and our findings are based on interview data from 17 social business firms. Building on social businesses' identified particularities, we propose four value drivers of social business models: 1) responsible efficiency, 2) impact complementarities, 3) shared values, and 4) integration novelties. We link our findings to the literature, contributing new insights into social businesses models and implications for practitioners.     

Political competence and ideological constraint

Converse's definition of ideological contraint is expanded to provide for various respondent identified ideological dimensions rather than an all encompassing liberal-conservative dimension. Using this redefinition a sample of adults is shown to have high levels of ideological constraint. Ideological constraint is shown to vary with the degree of cognitive complexity and the degree of preference evaluability. The latter is a new concept that suggests that some issues will be easier for a respondent to demonstrate constraint on depending upon the availability and applicability of preference criteria. Salience is also shown to have a positive relationship with ideological constraint, but only when preference evaluability is high.     

An Integrated Risk Assessment Model of Township‐Scaled Land Subsidence Based on an Evidential Reasoning Algorithm and Fuzzy Set Theory

Land subsidence risk assessment (LSRA) is a multi‐attribute decision analysis (MADA) problem and is often characterized by both quantitative and qualitative attributes with various types of uncertainty. Therefore, the problem needs to be modeled and analyzed using methods that can handle uncertainty. In this article, we propose an integrated assessment model based on the evidential reasoning (ER) algorithm and fuzzy set theory. The assessment model is structured as a hierarchical framework that regards land subsidence risk as a composite of two key factors: hazard and vulnerability. These factors can be described by a set of basic indicators defined by assessment grades with attributes for transforming both numerical data and subjective judgments into a belief structure. The factor‐level attributes of hazard and vulnerability are combined using the ER algorithm, which is based on the information from a belief structure calculated by the Dempster‐Shafer (D‐S) theory, and a distributed fuzzy belief structure calculated by fuzzy set theory. The results from the combined algorithms yield distributed assessment grade matrices. The application of the model to the Xixi‐Chengnan area, China, illustrates its usefulness and validity for LSRA. The model utilizes a combination of all types of evidence, including all assessment information—quantitative or qualitative, complete or incomplete, and precise or imprecise—to provide assessment grades that define risk assessment on the basis of hazard and vulnerability. The results will enable risk managers to apply different risk prevention measures and mitigation planning based on the calculated risk states.