Knowledge Creation and Dissemination in Operations and Supply Chain Management

During the last 25 years, the ecosystem of knowledge creation and dissemination in operations and supply chain management has improved remarkably. We now see OM as a vibrant community and an ecosystem in steady state. Yet, there are many opportunities ahead to revitalize our field and to expand our influence. In the spirit of continuous improvement, we propose that we focus our major efforts on accelerating the following four developments: First, having greatly expanded the domain of operations management, we should continue to expand its boundaries. Second, after a visible increase in exploratory studies, our community should accelerate our pursuit of such research. Third, we encourage OM faculty to develop programs that enable Ph.D. students to carry out part of their work in actual organizational settings. Fourth, we should further strengthen our interactions with the business community and create mechanisms to systematically disseminate our research to its members.     

知识工作团队中变革型领导与团队冲突管理方式研究

对来自106个团队的283名知识工作团队成员的调查结果进行研究分析,结果表明,变革型领导风格的4个维度,即德行垂范、个性关怀、愿景激励和领导魅力均能促进合作型冲突管理方式,但是只有德行垂范和个性关怀能够抑制竞争型冲突管理方式;团队心理安全在变革型领导和团队冲突管理方式之间起到部分中介作用.此外,合作型冲突管理方式对团队绩效有正向影响,竞争型冲突管理方式对团队绩效有负向影响.     

资金约束供应链中的融资优化与营运管理协同决策研究

基于供应商主导的Stackelberg博弈假设,对单一供应商和单一零售商组成的二级供应链中三种购销营运模式(预订购、委托代销和组合模式)的运作及契约双方的博弈顺序进行了分析,并构建了供应链融资和营运协同决策模型。研究表明,资金充足供应链中,供应商的最优状况相当于传统报童模型下的优化问题,且会采用委托代销营运模式。为实现最优决策,资金约束供应商会采用外部融资和供应链内部资金转让的组合融资方案,且会选择预订购和委托代销组合营运策略。资金约束供应链中供应商愿意与零售商分担产品市场风险,激励零售商预订购,增加供应链的整体收益。     

The Effects of Strategic and Structural Supply Chain Orientation on Operational and Customer‐Focused Performance

Supply chain orientation (SCO), or the implementation of a supply chain management philosophy, consists of two distinct, yet interdependent elements, namely strategic SCO and structural SCO. Strategic SCO involves integrating an SCM philosophy into the firm's strategy development, while structural SCO encompasses operational‐level behaviors and actions that reflect such a philosophy. This study extends the research on SCO by developing hypotheses on the contingent effects of strategic SCO and structural SCO on a firm's operational and customer‐focused performance. Drawing on the strategy‐structure‐performance framework, the study proposes that strategic SCO and structural SCO positively affect different dimensions of performance and that structural SCO plays a mediating role in the relationship between strategic SCO and performance. These relationships are tested using primary survey data and archival data from 183 manufacturers in the Midwestern US. Results confirm that strategic SCO is associated with both operational performance and customer‐focused performance, but structural SCO is only related to operational performance. Structural SCO acts as a mediator in linking strategic SCO with operational performance and customer‐focused performance and mediation effects are strengthened at higher levels of environmental dynamism.     

Collaboration and Coordination in Supply Chain Management and E‐Commerce

Research in Supply Chain Management and Electronic Commerce has grown dramatically in the past decade as firms have intensified efforts to streamline operations and improve service to a diverse and demanding customer base. Central to this theme is the need for firms to look outside of their organizations for opportunities to collaborate and coordinate with partners to ensure that the supply chain is both efficient and responsive to dynamic market needs. Such collaboration and coordination opportunities introduce new challenges and complexities as a result of increased problem scale and scope, and potentially conflicting incentives among different supply chain players. Motivated by these new challenges, this special issue explores a range of coordination and collaboration problems, stressing the role of information and associated technologies in facilitating and enabling supply chain integration.     

Harnessing the Theoretical Foundations of the Exponential and Beta‐Poisson Dose‐Response Models to Quantify Parameter Uncertainty Using Markov Chain Monte Carlo

Dose‐response models are the essential link between exposure assessment and computed risk values in quantitative microbial risk assessment, yet the uncertainty that is inherent to computed risks because the dose‐response model parameters are estimated using limited epidemiological data is rarely quantified. Second‐order risk characterization approaches incorporating uncertainty in dose‐response model parameters can provide more complete information to decisionmakers by separating variability and uncertainty to quantify the uncertainty in computed risks. Therefore, the objective of this work is to develop procedures to sample from posterior distributions describing uncertainty in the parameters of exponential and beta‐Poisson dose‐response models using Bayes's theorem and Markov Chain Monte Carlo (in OpenBUGS). The theoretical origins of the beta‐Poisson dose‐response model are used to identify a decomposed version of the model that enables Bayesian analysis without the need to evaluate Kummer confluent hypergeometric functions. Herein, it is also established that the beta distribution in the beta‐Poisson dose‐response model cannot address variation among individual pathogens, criteria to validate use of the conventional approximation to the beta‐Poisson model are proposed, and simple algorithms to evaluate actual beta‐Poisson probabilities of infection are investigated. The developed MCMC procedures are applied to analysis of a case study data set, and it is demonstrated that an important region of the posterior distribution of the beta‐Poisson dose‐response model parameters is attributable to the absence of low‐dose data. This region includes beta‐Poisson models for which the conventional approximation is especially invalid and in which many beta distributions have an extreme shape with questionable plausibility.     

E‐Business: A Review of Research Published in Production and Operations Management (1992–2008)

We review, classify, consolidate, and synthesize the contributions to the expanding field of e‐business that have been published in Production and Operations Management. We classify e‐business research in the following four categories: (1) e‐auctions, (2) radio frequency identification, (3) e‐business system design, and (4) competition, conflict, collaboration, and coordination (C⁴ in e‐business). We identify important research themes, research methodologies, and research techniques within each of these categories. We also provide directions for future research and discuss the managerial implications of the e‐business research reported in our paper.     

10‐year Anniversary of the New Product Development,R&D,and Project Management Department in Production and Operations Management—Progress,Thoughts, and Perspectives

The issue you are about to browse offers an opportunity to share many thanks, some observations, and a few forward‐looking thoughts about the department I have had the honor to edit over the last 4 years. It also offers an opportunity to expand the discussion beyond the boundaries of the particular department of Production and Operations Management (POM), and to take stock of the evolution path of the academic community that has formed around the department and its research topics over the past 10 years.     

Probability and Possibility‐Based Representations of Uncertainty in Fault Tree Analysis

Expert knowledge is an important source of input to risk analysis. In practice, experts might be reluctant to characterize their knowledge and the related (epistemic) uncertainty using precise probabilities. The theory of possibility allows for imprecision in probability assignments. The associated possibilistic representation of epistemic uncertainty can be combined with, and transformed into, a probabilistic representation; in this article, we show this with reference to a simple fault tree analysis. We apply an integrated (hybrid) probabilistic‐possibilistic computational framework for the joint propagation of the epistemic uncertainty on the values of the (limiting relative frequency) probabilities of the basic events of the fault tree, and we use possibility‐probability (probability‐possibility) transformations for propagating the epistemic uncertainty within purely probabilistic and possibilistic settings. The results of the different approaches (hybrid, probabilistic, and possibilistic) are compared with respect to the representation of uncertainty about the top event (limiting relative frequency) probability. Both the rationale underpinning the approaches and the computational efforts they require are critically examined. We conclude that the approaches relevant in a given setting depend on the purpose of the risk analysis, and that further research is required to make the possibilistic approaches operational in a risk analysis context.