基于管理类国际权威期刊的中国管理科学与工程学科研究现状分析

基于管理科学与工程学科2010~2019年发表在46份国际权威期刊上的13391篇论文数据,利用文献计量学分析方法,从文献发表记录和基金资助文献两个维度对管理科学与工程学科19个领域的研究现状进行分析。研究结果表明:近10年来,管理科学与工程学科的研究热点主要集中在“博弈论”“创新”“定价”“项目管理”“动态规划”和“供应链管理”等方向。美国、中国、英国、加拿大、德国的发文量排名前5位。在发文量最多的5个国家中,中国国家自然科学基金委员会资助的论文数量排名第一位,且信息系统与管理、管理系统工程是获得资助最多的领域。此外,在国家自然科学基金资助项目中,“供应链”是最热门的主题,“交通管理”和“优化”等主题受到较大关注。在中国大陆机构中,香港城市大学、香港科技大学、香港理工大学、香港中文大学和清华大学的发文量位居前5位。     

供应链协调与供应链协同内涵辨析

随着经济的全球化,供应链管理成为管理学界热门的研究方向,其领域繁多,本文通过比较分析供应链协调与供应链协同,更加深入的理解供应链协调的内涵,为供应链协调的建模分析打下良好的基础.     

服务供应链与制造供应链比较研究

供应链管理理论已经超越了传统的制造业领域,在服务业也逐渐得到应用,因此,服务供应链成为了供应链理论研究的一个全新方向。鉴于服务供应链与传统制造供应链具有本质上的区别,本文在供应链研究现状的基础上,总结出二者在概念、特征、管理模式上的差异,并对今后的研究趋势做出了分析。     

供应链创新模型浅析

供应链创新是当前管理领域中一个新的研究体系,其本身具有区别于一般创新研究的特点。本文通过对现有供应链创新文献的梳理,评述了供应链创新研究现状及特点。提出供应链创新模型,从内容角度分析了模型的三个组成要素:供应链业务流程、供应链技术及供应链网络结构。     

供应链管理模型的分类和研究进展

本文首先在综合近年来供应链管理的国内外研究文献的基础上,从研究对象与方法的界定和研究内容的界定两个层面对供应链管理模型进行了分类。然后,对供应链管理中的几类主要问题:供应链中的库存问题、供应链中的信息流及其价值问题、供应链协调与契约等问题的外部环境进行了简要分析,对其研究进展进行了综述。最后,展望了供应链管理模型未来的研究方向与热点。     

管理数据挖掘研究的基金资助进展分析

分析了国家自然科学基金委员会管理科学部管理科学与工程学科近年来对数据挖掘及其在管理中应用的资助情况,总结了资助项目取得的主要研究进展,以期为该领域研究者提供参考。     

国内供应链研究的理论、主题及方法评述

分析了2000—2003年间发表在18种国内大陆地区代表性管理领域学术期刊中的供应链研究论文，从基础理论、研究主题与研究方法3个维度，提出了供应链研究分类的基本框架，指出供应链研究在理论基础、研究主题和研究方法上的特点：（1）基础理论中管理科学与工程所占比重最大；（2）研究主题多元化，但组织、市场问题研究较少；（3）存在空白的研究领域；（4）研究方法以非实证方法为主，实证方法应用较少。经过讨论发现，国内供应链学术研究也有需要进一步完善之处。     

基于主路径的闭环供应链领域知识演化研究

分析闭环供应链领域的研究热点与主题演化路径对我国闭环供应链管理具有重要的指导意义。鉴于此，本文运用共词分析和主路径分析方法，对《中国科学引文数据库》（CSCD）和《中国社会科学引文索引》（CSSCI）数据库中2004-2020年间的555篇相关文献展开了研究，旨在挖掘出该领域的研究热点，探讨热点之间的关联性，以及揭示研究的知识扩散轨迹。结果表明：（1）定价决策与协调一直是该领域的研究热点；（2）近年来，研究人员对政府政策以及环境保护的重视程度逐渐提升；（3）闭环供应链研究主要经历了三个阶段，分别是分散和集中下的闭环供应链、公平关切下简单闭环供应链以及公平关切下多个同层成员竞争的闭环供应链成员定价决策与系统协调机制研究。本文研究有利于研究人员掌握近期的研究热点与潜在的发展方向，厘清该领域的知识发展过程，以从宏观层面全面把握该领域的研究进展。     

供应链风险管理中的几个重要问题

供应链风险管理是供应链管理领域一个新的热点研究方向,吸引了来自于运作管理、财务管理和战略管理等领域的研究人员和企业管理人员的极大关注.文章对有关供应链风险管理定量分析的一些主要工作进行评述,并讨论这一领域的几个重要研究方向,希望引起国内学术界的重视.     

中国决策理论与方法研究的资助与进展分析

针对国家自然科学基金委员会管理科学部管理科学与工程学科历年来资助决策理论与方法研究领域的项目进行统计和分析,总结了该领域项目资助的进展及其已取得的研究成果,以期给该领域学者的未来研究提供一些参考和启发,促进中国决策科学研究的进一步发展。     

供应链管理对于大型复杂产品制造业集群演进的影响机理研究

产业集群演进是指在一定驱动力下产业集群从某个具有阶段特征的整体结构与态势向另一个具有阶段特征的结构与态势转变发展的过程。在这个过程中供应链管理可以促进资源的有效整合和利用,优化产业结构,促进产业升级。在前人关于大型复杂产品和供应链管理相关研究基础上,以组织要素、产品复杂性要素、产业关联度要素为影响变量,构建了供应链管理对大型复杂产品制造业集群演进的影响机理模型,通过实证分析,得出SCM对于大型复杂产品制造业集群演进的影响机理是一个全方位的作用模式,这为大型复杂产品制造业集群中供应链管理提供了借鉴。     

The Interdisciplinary Future of Supply Chain Management Research

Since the term supply chain management (SCM) was first introduced over 30 years ago, the field of SCM has undergone numerous transformations. Today, it is a prevailing theme in scholarly and popular research, and numerous disciplines claim its ownership. However, current and emerging SCM research challenges are becoming increasingly more complex. Fragmented and "siloed" research efforts across a range of disciplines may not be adequate to address the full complexities associated with these phenomena. We interviewed 50 SCM academic thought leaders, across a range of disciplines, and 20 SCM executives with the goal of helping researchers develop a consistent stream of work that builds on existing research, identifies relevant research directions, and provides guidance for the future. Although there were some differences in opinions, there was consensus on the boundary characteristics of SCM, as well as the identification of interdisciplinary research (IDR) as necessary for the enablement of SCM to address the numerous current and emerging intractable SCM challenges. In this article, we present these findings and provide a path forward based on the collective wisdom of these academics and executives.     

Supply chain management resources,capabilities and execution

This paper identifies inter- and intra-organisational management resources that determine the level of execution of inter-firm alliance supply chain management (SCM). By drawing on network and resource-based view theories, a conceptual model proposes the effects of SCM resources and capabilities as influencing factors on SCM execution. The model was tested using survey data from studies conducted in two European supply chain environments. Variance-based structural equation modelling confirmed the hypothesised hierarchical order of three proposed antecedents: internal SCM resources affect joint SCM resources, which in turn influence collaborative SCM-related processes and finally SCM execution. An importance-performance analysis for both settings shows that providing and investing in internal SCM resources should be a priority when aiming to increase SCM execution. The theoretical contribution of this paper lies in confirming that the improvement of SCM execution follows a clear pathway featuring internal supply chain resources as one of the main drivers. The practical implications of this research include the development of a prioritisation list of measures that elevate SCM execution in the two country settings.     

Overcoming blind spots in global sourcing research: Exploiting the cross-sections between supply chain management and international business

This article reviews existing work on global sourcing and suggests a number of new theoretical directions for research in this area. We discuss how international business (IB) and supply chain management (SCM) research can benefit from increased cross-fertilization of themes and perspectives. We begin by introducing a taxonomy of global sourcing research, building on relevant insights from SCM research. We then generate recommendations for potential future research on global sourcing, particularly highlighting antecedents, processes, performance and contextual variables. SCM research employs the entire supply chain as the primary unit of analysis (rather than the individual firm), while IB research focuses primarily on international aspects, adapting to institutional contexts in a globalized world. Building on this complementarity, several specific empirical directions are proposed for future research directions.     

Insights from big Data Analytics in supply chain management: an all-inclusive literature review using the SCOR model

Abstract

When supply chain management (SCM) intersects with Big Data Analytics (BDA), uncountable opportunities for research emerge. Unfortunately, how analytics can be applied to supply chain processes is still unclear for both academics and industries. To better connect SC processes needs and what BDA offer, we present a structured review of academic literature that addresses BDA methods in SCM using the supply chain operations reference (SCOR) model. The literature since 2001 is reviewed to provide a taxonomy framework resulting in a nomenclature grids and a SCOR-BDA matrix. The most important result of this paper indicates a clear disparity and points to an urgent need to bring the efforts closer in a collaborative way for more intelligent use of BDA in SCM. Furthermore, this paper highlights a misalignment between data scientists and SC managers in BDA applicability. It also highpoints upcoming research tracks and the main gaps that need to be stunned.     

供应链管理思想及其理论和方法的发展过程

分析、总结和归纳了当今企业管理的一个新热点———供应链管理思想及其理论和方法的 起源和发展演变过程,揭示了这种思想和理论产生的必然性及其对企业的重要性.     

The impact of supply chain management practices on competitive advantage and organizational performance

Effective supply chain management (SCM) has become a potentially valuable way of securing competitive advantage and improving organizational performance since competition is no longer between organizations, but among supply chains. This research conceptualizes and develops five dimensions of SCM practice (strategic supplier partnership, customer relationship, level of information sharing, quality of information sharing, and postponement) and tests the relationships between SCM practices, competitive advantage, and organizational performance. Data for the study were collected from 196 organizations and the relationships proposed in the framework were tested using structural equation modeling. The results indicate that higher levels of SCM practice can lead to enhanced competitive advantage and improved organizational performance. Also, competitive advantage can have a direct, positive impact on organizational performance.     

供应链绩效评价指标体系与评价方法研究

供应链管理(SCM)与现行企业模式有较大区别,其绩效评价指标体系的建立与评价方法也就有其特殊性,目前这方面的研究还略显不足。本文在综合分析现有的SCM评价指标体系的基础上,初步建立了一套适合我国SCM绩效评价的指标体系。同时,给出了SCM绩效评价的多级动态模糊综合评价方法。     

Complexity and Adaptivity in Supply Networks: Building Supply Network Theory Using a Complex Adaptive Systems Perspective*

Supply networks are composed of large numbers of firms from multiple interrelated industries. Such networks are subject to shifting strategies and objectives within a dynamic environment. In recent years, when faced with a dynamic environment, several disciplines have adopted the Complex Adaptive System (CAS) perspective to gain insights into important issues within their domains of study. Research investigations in the field of supply networks have also begun examining the merits of complexity theory and the CAS perspective. In this article, we bring the applicability of complexity theory and CAS into sharper focus, highlighting its potential for integrating existing supply chain management (SCM) research into a structured body of knowledge while also providing a framework for generating, validating, and refining new theories relevant to real‐world supply networks. We suggest several potential research questions to emphasize how a CAS perspective can help in enriching the SCM discipline. We propose that the SCM research community adopt such a dynamic and systems‐level orientation that brings to the fore the adaptivity of firms and the complexity of their interrelations that are often inherent in supply networks.