Waiting: integrating social and psychological perspectives in operations management

Waiting time is an important issue in service operations management because of its impact on customer satisfaction and operations capabilities. This paper examines waiting time from a social and psychological perspective. It provides a conceptual framework which identifies social and psychological factors that affect perceptions of waiting. The conceptual framework enables service managers to rethink operational issues, such as layout design, process choices, and service delivery from customers’ perceptions of waiting. Assimilation–contrast theory suggests that perceived waiting time be linked to expected waiting time and its gap leads to customers’ overall evaluation of service. A customer’s willingness to accept delay is related to the causes for delay as explained by attribution theory. Approaching waiting time from a stress management theory, this paper provides service managers with various stress-reduction mechanisms such as giving customers advance notice of expected waiting time, speeding up pre-process waiting time, and acknowledging customers’ rights to quick service. These practical suggestions can aid service managers in reducing perceived waiting time, enhancing customers’ waiting experience, and improving queue management.     

Smart cities and operations management

Abstract

This editorial article provides an overview of the scope, aims and objectives of the SI. It also outlines the key categorising themes which have been used to organise the eight papers selected for publication.     

Knowledge management for sustainability in operations

Abstract

The purpose of this paper is to examine the effect of Knowledge Management (KM) as a platform to enable sustainability in firms’ operations and to provide recommendations for managers to integrate sustainable operations into their business strategies. The urgency to create and implement sustainable operations is also argued. The conceptual framework is based on the hypothesis that KM contributes to the achievement of more suitable operations. To test this hypothesis, a model of structural equations was developed with data collected from 345 SMEs. Empirical evidence supported the hypothesis, indicating that KM represents an important alternative to implementing sustainability. The results suggest that managers need to implent KM, as they will enable a better understanding and awareness regarding the global dangerous impacts from unsustainable operations mainly focused on sales and cost reduction. For this reason, this research provides evidence that KM offers an alternative impulse on the quest for more sustainable operations.     

Conducting systematic literature review in operations management

Systematic literature review (SLR) is a well-known research method. However, there is a paucity of detailed SLR guidelines in operations management (OM). The recent interest in SLR in OM has not been followed by the same rigour observed in disciplines as medical sciences and public policy. There are no OM-specific SLR protocols, detailed step-by-step methods and reporting procedures. Therefore, this paper provides a step-by-step approach to SLR for OM scholars and an overview of SLR’s evolution as a research method in OM and the resulting progression of themes. The step-by-step approach aims to serve as a guideline sufficiently broad to avoid skipping any significant step, but still being easy to be understood and applied. The paper describes procedures for rigourous SLR, reveals a growing use of literature review in OM, specially for qualitative SLR and traditional narrative reviews, assesses contemporary and emerging themes in OM, and provides a research agenda.     

Behavior-based analysis of knowledge dissemination channels in operations management

One essential requirement for the development and vitality of a discipline is a network of channels for knowledge dissemination. These channels, such as scholarly journals, furnish not only a means for knowledge sharing, but also for knowledge generation by the discipline's community of researchers. In the field of operations management (OM), there have been several studies that have sought to rank journals relevant to OM research, using opinion surveys, citation analyses, and author affiliations. However, each of these methods has some limitations. This paper adopts a new approach for discerning journal publication patterns in the OM field. It is based on an examination of the actual publishing behaviors of all full-time, tenured OM researchers at a sizable set of leading research universities in the US. This behavior-based methodology provides three metrics that individually, and in tandem, give a basis for rating publication outlets for OM research in terms of their relative importance. The ratings can be used by scholars and administrators to assist in monitoring, disseminating, and evaluating OM research outlets.     

A bibliometric analysis of operations research and management science

Bibliometric analysis is the quantitative study of bibliographic material. It provides a general picture of a research field that can be classified by papers, authors and journals. This paper presents a bibliometric overview of research published in operations research and management science in recent decades. The main objective of this study is to identify some of the most relevant research in this field and some of the newest trends according to the information found in the Web of Science database. Several classifications are made, including an analysis of the most influential journals, the two hundred most cited papers of all time and the most productive and influential authors. The results obtained are in accordance with the common wisdom, although some variations are found.     

Linking long-term capacity management for manufacturing and service operations

For firms that combine manufacturing and service operations in one system, the task of managing capacity is not straightforward. New goods and services may not have the same set of competitive priorities, and the models and concepts available in the literature for service operations differ from those for manufacturing operations. We address this problem and review the concepts and models for capacity management in the long term in both streams of literature, i.e. manufacturing and services, to develop a unified framework for manufacturing and service operations. The framework creates transparency between new goods manufacturing and service operations, since the same long-term capacity management structure is used for both product types, as well as between capacity strategy and planning strategy, since new goods and services are treated simultaneously. In the framework, the concepts of chase and level strategies are redefined for service operations to allow for integration with manufacturing operations. A case study demonstrates the usefulness of the integrated approach for long-term capacity management.     

The importance of operations management problems in service organizations

This article reports on the research to empirically determine which operations management problems are the most important to small service organizations. The authors asked managers of service organizations to rank a set of operations problems according to their relative importance using Q methodology. In this article, Q method is explained, significant factors are analyzed, and explanations are offered for the ranking of the operations problems. The results indicate that forecasting, quality management, and resource utilization are important operational issues for service organizations. However, the results also indicate that facility location and layout, waiting line systems, and distribution requirements planning were for the most part unimportant to the respondent service organizations. In addition, Schmenner's service typology does not provide an explanatory basis for the variations in the factor results. Lastly, the results are used to suggest operations management techniques that should be taught to students who are expected to work in service organizations upon graduation.     

港口管理与运营: 新兴研究热点及其进展

中国已经成为世界最大的集装箱集疏地.随着建设"新丝绸之路经济带"和"21世纪海上丝绸之路"(简称"一带一路")国家战略的提出,中国港口迎来了新的发展机遇.港口管理和运营涉及单一港口维度一个或者多个资源的运作优化问题,港口群维度港口之间的协作行为和机制问题,海运供应链维度港口与主要利益相关者之间的协作行为和机制问题等.文章介绍了中国港口在国际海运物流中的重要地位以及全面梳理了近年来港口管理与运营相关问题的研究进展;基于国内外学者已取得的最新研究成果,结合中国本土实践情境,文章指出当今的研究空白,从新的研究视角出发详细介绍了潜在的研究热点问题,分析了相关领域研究的必要性和迫切性.     

医疗运作管理: 新兴研究热点及其进展

近几十年来,随着人们对健康问题关注度的日益提升,医疗保健服务得到了快速发展, 随之而来的诸多有别于其他服务的运作问题吸引了众多学者浓厚的研究兴趣,并逐渐形成了一个新兴研究热点———医疗运作管理． 医疗运作管理旨在运用运作管理的思想、方法和技术对医疗保健服务各个运作环节进行精细研究,为医疗保健服务的有效实施提供系统的科学指导． 文章介绍了全球医疗服务业的发展形势以及医疗运作管理的研究进展,说明了该领域研究的有效性、必要性和迫切性; 全面回顾了运筹管理顶级期刊和医疗运作领域的重要期刊,按照研究对象进行分类组织,详细介绍了医疗运作管理研究的关注热点,并结合当今最新的研究成果分析了潜在发展趋势．     

Universal-deterministic and probabilistic hypotheses in operations management research: a discussion paper

Abstract

Based on Karl Popper’s approach to science, this conceptual article aims at promoting a discussion on important issues debated in the OM literature. Our focus is on the different types of hypotheses used in OM investigations and the implications of this for the formulation and testing of theory with an emphasis on case study research. Given that Popper’s methodology calls for an adequate testing of scientific propositions (universal-deterministic or probabilistic), we illustrate how case study research can be used to conduct a severe test of a scientific theory. It is also explained how case studies can be utilized to propose universal-deterministic hypotheses that should then be tested. Our investigation further discusses why it is important to clearly acknowledge the differences between the two types of hypotheses. Otherwise, inadequate research designs, deficient policy advice, and other similar problems, can arise. Topics for future research and discussion are also offered.     

How smart cities transform operations models: a new research agenda for operations management in the digital economy

Abstract

The notion of smart cities is growing in prominence in the digital economy. The integration of urban infrastructures with information and communication technologies enables the development of new operations models. Digitised infrastructures offer opportunities for public and private organisations to design and deliver more customer-centric products or services, particularly for those that require geographical proximity with consumers in the online to offline (O2O) context. A framework is developed and used to analyse three case examples. These cases illustrate the emergence of new operations models and, demonstrate how smart cities are redefining the characteristics of operations models around their scalability, analytical output and connectivity. We also explore the feasibility, vulnerability and acceptability of each new operation. This paper contributes to our understanding of how smart cities can potentially transform operational models, and sets out a research agenda for operations management in smart cities in the digital economy.