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供应链发展:战略生态位管理的启示

时间:2016-05-11 12:32来源:www.ukthesis.org 作者:英国论文网 点击联系客服: 客服:Damien
Abstract 摘要
 
目的 - 本文的目的是促进供应链的设计从复杂动态系统的角度研究。与使用正规的仿真建模和植根于物理科学相关方法现存的研究,它采用植根于社会科学,战略重点管理,它提供了丰富的见解新兴的供应链复杂的创新动力的行为方面的框架。设计/方法/方式 - 使用该框架是由大约在东非新的生物燃料供应链发展的个案研究的方式说明。调查结果 - 三个关键的动态过程被发现在新的供应链发展的核心:网络,学习和演员预期的管理。案例分析表明,需要积极地管理这些流程,并提出这样的可能途径。研究限制/问题 - 可推广性,因为研究是基于一个案例研究的限制。使用相同的框架附加案例研究将有助于验证和扩展所得到的结果。实际影响 - 启示战略管理决策包括需要鼓励利益相关者的联网和共享的学习和管理他们的期望。关键词供应链管理,燃料,能源,坦桑尼亚,战略管理纸张类型案例分析Purpose – The purpose of this paper is to contribute to the study of supply chain design from the perspective of complex dynamic systems. Unlike extant studies that use formal simulation modelling and associated methodologies rooted in the physical sciences, it adopts a framework rooted in the social sciences, strategic niche management, which provides rich insights into the behavioural aspects of complex innovation dynamics of emerging supply chains. Design/methodology/approach – The use of the framework is illustrated by means of a case study about the development of a new biofuels supply chain in East Africa. Findings – Three key dynamic processes are found to be at the core of new supply chain development: networking, learning and the management of actor expectations. The case analysis suggests the need to actively manage these processes and suggests possible ways of doing so. Research limitations/implications – Generalisability is limited since the research is based on one case study. Additional case studies using the same framework would help to validate and extend the results obtained. Practical implications – Implications for strategic managerial decision making include the need to encourage stakeholder networking and shared learning, and managing their expectations. Originality/value – The paper uses an innovative conceptual framework to examine new supply chain development, which yields new insights into how these processes can be actively managed and supported. Keywords Supply chain management, Fuels, Energy sources, Tanzania, Strategic management Paper type Case study 
 
Introduction 介绍
 
Competitiveness and growth are increasingly seen to be driven by effective organization and co-ordination of entire supply chains, rather than by strategies and processes of individual firms (e.g. Vonderembse et al., 2006; Bechtel and Jayaram, 1997; Tan, 2001; Cooper et al., 1997; Mart.′nez-Olvera and Shunk, 2006). Recent years have witnessed the emergence of a wealth of studies aiming to contribute to effective supply chain design, organization and management (see, for instance, Schary and Skjott-Larsen, 2001; Burt et al., 2003; Simchi-Levi et al., 2003). Conventionally, writers in this line have been emphasizing supply chain design and management techniques in which the functioning of the supplier system can be predicted, controlled, and optimized. In a survey of models and methods of supply  chain design and analysis in 1998, 21 out of 24 major studies take a deterministic, stochastic approach or game-theoretic approach (Beamon, 1998). In these approaches, the major variables are either known and specified, or subject to a particular probability distribution. However, in today’s dynamic and complex environment the practical value of these approaches is limited. Continuous change driven by, and involving the development of new products, processes and improved production organization is part and parcel of today’s competitive reality (Choi et al., 2001). Many processes, activities and relationships are not amenable to tight and detailed planning. In the words of Choi et al(2001): [...] what becomes important is keen observation of what emerges, and flexibility in making appropriate changes, while controlling the course of action toward the a priori determined goals (Choi et al., 2001, p. 365). It is also clear that, especially in its more radical forms, innovation is not merely a matter of developing new products or improved processes within the boundaries of one single firm, but involves reorganization and adjustment of entire chains. In some cases, completely new chains may even need to come into existence. Within the supply chain management literature these changes are being reflected in an increasing emphasis on simulation modelling as a tool to deal with fundamental uncertainty and high complexity (Chang and Makatsoris, 2001; Kleijnen, 2005; Towill, 1991; Towill et al., 1992; Wikner et al., 1991). At the same time, researchers on new product development (NPD) are increasingly recognizing the need to understand NPD from a complex dynamic systems perspective, rejecting the notion of NDP as a linear, sequential and routine decision-making process (Leifer et al., 2000; McDermott and O’Connor, 2002; Utterback, 1996). Examples are applications of chaos theory and the Complex Adaptive Systems (CAS) approach advocated by Buijs (2003), Chiva-Gomez (2004), Cunha and Comes (2003), and McCarthy et al. (2006). Choi et al. (2001) have also introduced CAS into the study of supply networks. Thus, one can observe a certain convergence between supply chain management one the one hand, and NPD research on the other, around an emerging complex dynamic systems perspective. These recent approaches are thus much more powerful than the traditional mechanistic supply chain tools for handling organizational complexity in a context of continuous fast change. However, this emerging field still has some limitations. Its dominant methodological approach is rooted in physical sciences, namely cellular automata models and agent-based models (McCarthy et al., 2006). The resulting computational methods are not ideally suited to capturing the rich and qualitative features of a social system. Hence, it has been argued that case study research in this field is required as a necessary complementary methodology. Case studies can provide in-depth insights into the behavioral aspects and the dynamics of the search, experimentation and learning processes that are essential features of dynamic supply chains (Brown and Eisenhardt, 1997; Eisenhardt and Bhatia, 2002). This paper aims to contribute to filling this gap in the literature by studying new supply chain development processes from an evolutionary case-study vantage point. For this purpose we use strategic niche management (SNM), an analytical approach rooted in evolutionary innovation economics which has been used for studying radical product innovations, particularly in the context of discussions about long-term transitions to more sustainable development. SNM comes with a set of concepts with Supply chain development  (责任编辑:anne)


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