Field Of Operations Management Research Articles

Revisiting the Halal supply chain: A bibliometric visualization and future research direction

In the past twenty years, market dynamics have had a substantial impact on different industrial sectors, ultimately influencing their level of competitiveness. The field of operation management in terms of halal logistics has gained considerable attention and recognition among scholars and researchers in the academic community, as evidenced by the growing body of literature in the field of management. This article presents a bibliometric examination of scholarly literature pertaining to the halal supply chain in the domain of business. In addition, bibliographic material is organized and analyzed through the utilization of software tools such as VOSviewer, R Studio, and Microsoft Excel. A comprehensive analysis was conducted on a dataset comprising 278 scholarly papers that had been indexed by Scopus. The process of identifying and categorizing relevant research on the topic was carried out using certain criteria, including journal publications, articles, authorship, and geographical origin. The results suggest a significant rise in scholarly investigations carried out in this specific domain during the previous two decades. Our study also acknowledges several countries as the most productive domains of halal supply chain studies. It is imperative to recognize, though, that scientific advancement continues in this field, as well as in all other areas of study, and that data undergoes significant changes over time. This article examines potential avenues for future research, incorporating quantitative analysis and collaborative inquiry undertaken by researchers.

Police personnel allocation and homicide clearance

PurposeThis paper applies novel techniques from the field of operations management to examine the allocation of patrol and investigative personnel to identify which is most effective in improving police performance around homicide clearance.Design/methodology/approachA panel sample of homicide clearance rates from the 100 largest US cities between 2000 and 2013 were analyzed in two steps: first, a random-effects regression model was performed to locate influential factors; second, optimum analysis was applied to locate the optimal values that yield maximal homicide clearance.FindingsBoth patrol and investigative personnel levels have a significant impact on homicide clearance. Maximal clearance can be achieved by allocating departmental personnel to investigative roles.Research limitations/implicationsGiven recent trends around “defunding” police and public sector austerity measures, future research should continue to explore the utility of optimum analysis for efficient allocation of policing personnel.Originality/valueThis study provides proof of concept for the use of optimum analysis in policing research.

Extreme Weather and Firm Market Value: Roles of Corporate Social Responsibility and Stock Analyst Attention

ABSTRACT The outbreak of extreme weather events is increasing in frequency for the last decade, resulting in tremendous human and industrial losses worldwide. Evaluating and managing the effects of such events are highly urgent matters for firms, but the literature on this topic is limited. In this study, the effects of extreme weather events on the stock market performance of firms were estimated to provide a foundation for exploring how to manage such effects. From the perspective of the shareholder view, the heterogeneous effect of corporate social responsibility (CSR) on stock performance associated with extreme weather events were examined. Data on natural disasters that were caused by six types of extreme weather and occurred between 2001 and 2021 in China were used to construct a database of 2,718 Chinese listed manufacturing firms and 23,529 observations regarding the potential effects by extreme weather events. An event analysis indicated that the extreme weather events bring an average of 0.97% drop in the stock performance of potentially affected firms for the month that the event starts and the next month. A subsequent cross-sectional analysis revealed that a high CSR level is associated with low market value during extreme weather events, while a high level of stock analyst attention alleviates the negative effect of CSR on the stock performance of extreme weather events. This study enriches the existing literature and offers practical insights for managers in the fields of CSR and operations management, highlighting the complex dynamics between CSR activities, analyst attention, and stock market performance during extreme weather events.

Operational practices for integrating lean and industry 4.0 – a dynamic capabilities perspective

This article presents the findings of an exploratory survey conducted among 256 experts engaged in German manufacturing firms to explore practices related to integrating Lean with Industry 4.0. Using the Dynamic Capabilities framework as a theoretical lens, the study validates 43 practices organised into six dimensions: ‘initiating’, ‘sensing’, ‘seizing’, ‘transforming’, ‘resources’, and ‘capabilities’. Theoretically, the research contributes by concretising the classical dimensions of Dynamic Capabilities and proposing the novel dimension of ‘initiating’, enhancing the theory's holism and applicability in the context of LM and I4.0 integrations. Managerially, the study provides a practical framework for self-assessment and strategic planning, emphasising the critical importance of early-stage practices related to ‘change’, ‘resources’, ‘capabilities’, and ‘initiating’. These elements are crucial for triggering subsequent integration phases and ensuring successful execution. The framework addresses technology adoption, organisational culture, process optimisation, and workforce engagement, offering comprehensive guidance for integrating LM and I4.0. The contributions of this research hold value for the field of Operations Management as it provides empirical evidence on essential practices for effectively integrating Lean with Industry 4.0. Additionally, the study highlights the significance of Dynamic Capabilities as a means to comprehend and manage the complex interplay between these two approaches.

Sharing service in healthcare systems: A recent survey

Innovation in the sharing economy continues to thrive within healthcare systems. Emerging internet platforms and traditional hospitals/alliances have created diverse healthcare sharing scenarios, integrating a wide range of dispersed specialized medical resources to provide more convenient and efficient solutions to meet diverse demands. We adopt a classification framework based on staff, supplies, information, and alliances, guided by the concepts and scenarios of healthcare sharing. We mainly review research issues in the fields of operations management and information systems over the past decade, encompassing service pricing and matching, patient flow management, inventory management, multiple resources scheduling and allocation, network and mechanism design, quality evaluation, technology impact and cost-effectiveness analysis. Combining the advancements of digital intelligent technology and the evolution of healthcare sharing modes, we present some new problems, scenarios, and approaches, which offer potential opportunities for future research.

Exploring the Relationship Between Performance Management and Em-ployee Motivation: Case Study of Serbian Railways

Purpose – It aims to emphasize the importance of effective performance management practices in today's competitive business landscape, highlighting how they contribute to organizational success through enhanced employee motivation, engagement, and productivity. Aims(s) –The aim of this paper is to investigate various aspects of performance management, focusing on goal setting, feedback mechanisms, performance appraisals, recognition, and coaching. By examining the relationship between performance management and employee motivation, the paper aims to provide insights for organizations to design strategies that foster a motivated workforce and drive performance. Design/methodology/approach – it examines real-world examples and best practices to illustrate how organizations can implement these strategies to enhance employee motivation and ultimately achieve organizational success. Findings – The findings underscore the significance of goal setting within performance management, highlighting that specific and challenging goals increase employee motivation and performance levels. Moreover, performance management systems that emphasize goal alignment and regular feedback are found to further enhance motivation. Limitations of the study – Despite the comprehensive review of literature and empirical evidence, this paper acknowledges several limitations. Firstly, the findings are primarily based on existing research and may not encompass all possible perspectives or developments in the field of performance management and employee motivation. Originality/value – This paper contributes to the existing body of knowledge by synthesizing various theories and empirical evidence on performance management and employee motivation. It provides a comprehensive overview of key components of effective performance management practices and their impact on employee motivation and organizational success.

Envisioning the Invisible: Unleashing the Interplay Between Green Supply Chain Management and Green Human Resource Management: An Ability-Motivation-Opportunity Theory Perspective Towards Environmental Sustainability

The topics of green human resource management (GHRM) and green supply chain management (GSCM) have gained significant popularity within the fields of HRM and operations management (OM), respectively. Scholars in various fields have been making progress in exploring the contributions of GSCM and GHRM towards the development of sustainable firms. However, it is worth noting that integrating these two cutting-edge topics has been significantly delayed, mostly due to a substantial gap in the integration of SCM and HRM. The objective of this study is to present a comprehensive framework that combines and enhances the interaction between these two elements, as well as to suggest a research agenda for further exploration of this integration. This study employs the ability-motivation-opportunity theory framework to examine the influence of GHRM, GSCM, and environmental strategy on firm performance. The researchers employed a structural equation model (SEM) to examine the hypotheses, utilizing a sample of 640 survey questionnaires obtained from manufacturing firms. The findings indicate that there is a positive relationship between GHRM and firm performance. Additionally, the findings indicate that GSCM serves as a positive and significant mediator in the association between GHRM and firm performance. Ultimately, the study's results and ramifications are revealed to serve as valuable policy tools for various entities such as manufacturing firms, administrations, and other relevant parties of supply chain.

Including gender dimension in operations management teaching

Purpose: This paper aims at introducing the importance and the relevant concepts and tools for including gender dimension in teaching, with a special focus in the Operations Management knowledge field.Design/methodology/approach: The methodology is based on a literature review and on the knowledge and experience of the authors in teaching in the field of Operations Management and designing and implementing trainings and pilot programs for including gender dimension in teaching and.Findings: Even if there already exist some general guidelines for including gender dimension in teaching and in some countries the law requires the inclusion of gender dimension in high education, the effective inclusion of gender dimension in teaching is still in a very preliminary stage. Moreover, there are not specific studies focused on the Operations Management field.Research limitations/implications: Even if the authors have wide experience in the field, the proposals have not been applied to many courses so there is no empirical evidence of the achieved results.Practical implications: The paper can be useful for people teaching in Industrial Engineering and Operations Management courses’, as it gives not only some general guidelines and concepts but also specific examples that can be directly applied to their courses.Social implications: Including gender dimension in Industrial Engineering and Operations Management courses, which are still male dominated, can help achieving the SDG 5, which is focused on achieving gender equality and empowering all women and girls. Specifically, including gender dimension in teaching allow breaking stereotypes, changing the image of the knowledge field, empowering female students and giving both men and women tools for including the gender dimension in their professional careers.Originality/value: There exist some general guidelines for including gender dimension in teaching but, to the best of our knowledge, there is no any specific work that is focused on the Operations Management knowledge field.

Circular production operations – A management system's framework for seamless transition from linear to circular

Production companies’ ambition to reach sustainable development goals, has resulted in a rapid strategic movement towards circularity in production. Previous studies have indicated that a transition to circular production is affirmed and a prioritised action. However, few studies describe how to operate a circular production, and how to perform the transition from linear to circular. To fill this gap, this paper aims to explore strategies for a seamless transition and to add new knowledge in this area. A multiple case study was employed for this purpose, based on production companies located in Sweden. Collected data were analysed by an inductive coding process. The coding process generated managerial themes that characterise the transition process in production operations. From the themes, three main incubators: management systems, standards and strategy, form together with drivers and blockers a framework called Integrated Circularity Management Systems (ICMS). The research presented in this study adds new knowledge to the field of circular production operations management as well as gives practical guidance for decision-makers in the manufacturing industry on how to initiate a circularity transition in an established production system.

Research on Flexible workshop Scheduling Based on harmony search Algorithm

The purpose of this paper is to use the harmony search algorithm to solve the scheduling problem of flexible job shop, with the goal of minimizing the maximum completion time. The issue of flexible workshop scheduling is an important research content in the field of production operation management. It involves how to rationally arrange the processing sequence of different jobs on different machines to optimize production efficiency. As a heuristic optimization algorithm, the harmony search algorithm performs well in solving complex optimization problems with its good global search ability and robustness. This paper first establishes a mathematical model of the scheduling problem of flexible job shop, and expounds in detail the basic principle and process of the harmonic search algorithm. Subsequently, we designed a scheduling strategy based on the harmony search algorithm, and by adjusting the algorithm parameters and strategies, we realized the effective optimization of the maximum completion time. The experimental results show that the algorithm can significantly reduce the maximum completion time and improve production efficiency when solving the scheduling problem of flexible work workshops. The research in this paper not only provides a new solution method for the scheduling problem of flexible job shop, but also provides a useful reference for the application of harmonic search algorithm in similar problems.

Retail Platform Analytics: Practice, Literature, and Future Research

The explosive growth of retail platforms over the past decade has resulted in a significant amount of customer and seller data that can be leveraged for advanced business analytics. As a result, the management of retail platforms with business analytics capabilities has garnered increased attention in the field of operations management. Despite the recognition of the importance of business analytics techniques for retail platforms, a systematic study of their operations is lacking in the literature. Based on our observations of the industrial practice and understanding of the academic literature, we attempt to address this gap by proposing a framework that broadly categorizes retail platform management into three key themes: demand-side management, supply-side management, and matching. For each theme, we identify critical topics, discuss the current practices of platforms, and review relevant literature. We also propose future research questions with directions for the initial modeling and solution strategy, together with applicable data sources and potential insights. At last, to facilitate future research, we provide a roadmap and datasets for further exploration of business analytics applications of retail platforms. Overall, this paper lays a strong foundation for researchers to delve deeper into the exciting and constantly evolving field of retail platform analytics.

How Socially Perceived Threat Shapes Preventive Behavior in the Context of COVID-19

Social technologies have revolutionized global connectivity, enabling instant sharing of information and virtual experiences of real-time events. In the context of natural disasters, including pandemics like COVID-19, these technologies can facilitate the dissemination of crucial localized information via social connectivity, enhancing awareness and preventive behavior even in areas not immediately threatened by the disaster or virus. Our paper investigates the relationship between socially perceived threats, shaped by social technologies and shared information on social media, and individuals’ preventive behavior, while controlling for immediate virus threats in local and neighboring areas. In Study 1, we establish that socially perceived threats, measured by the volume of COVID-19-related tweets in socially connected areas, positively correlate with preventive behavior after accounting for immediate virus threats. Study 2 delves into this phenomenon, revealing a notable association between COVID-19-related communication, particularly tweets regarding self-infection or severe symptoms, and increased preventive behavior. Intriguingly, subjective expressions of this social information are found to correlate with a heightened socially perceived threat, further promoting preventive behavior. Our paper contributes to the emerging field of operations management and information systems by highlighting the pivotal role of social technologies in shaping public perception and response during disaster early stages. We achieve this through the integration of diverse datasets, advancing our understanding of societal resilience and sustainability in the face of catastrophic events.

On tasks and soft skills in operations and supply chain management: analysis and evidence from the O*NET database

PurposeThe purpose of the study is to identify the soft skills and abilities that are crucial to success in the fields of operations management (OM) and supply chain management (SCM), using the O*NET database and the classification of a set of professional figures integrating values for task skills and abilities needed to operate successfully in these professions.Design/methodology/approachThe study used the O*NET database to identify the soft skills and abilities required for success in OM and SCM industries. Correlation analysis was conducted to determine the tasks required for the job roles and their characteristics in terms of abilities and soft skills. ANOVA analysis was used to validate the findings. The study aims to help companies define specific assessments and tests for OM and SCM roles to measure individual attitudes and correlate them with the job position.FindingsAs a result of the work, a set of soft skills and abilities was defined that allow, through correlation analysis, to explain a large number of activities required to work in the operations and SCM (OSCM) environment.Research limitations/implicationsThe work is inherently affected by the database used for the professional figures mapped and the scores that are attributed within O*NET to the analyzed elements.Practical implicationsThe information resulting from this study can help companies develop specific assessments and tests for the roles of OM and SCM to measure individual attitudes and correlate them with the requirements of the job position. The study aims to address the need to identify soft skills in the human sphere and determine which of them have the most significant impact on the OM and SCM professions.Originality/valueThe originality of this study lies in its approach to identify the set of soft skills and abilities that determine success in the OM and SCM industries. The study used the O*NET database to correlate the tasks required for specific job roles with their corresponding soft skills and abilities. Furthermore, the study used ANOVA analysis to validate the findings in other sectors mapped by the same database. The identified soft skills and abilities can help companies develop specific assessments and tests for OM and SCM roles to measure individual attitudes and correlate them with the requirements of the job position. In addressing the necessity for enhanced clarity in the domain of human factor, this study contributes to identifying key success factors. Subsequent research can further investigate their practical application within companies to formulate targeted growth strategies and make appropriate resource selections for vacant positions.

Evaluasi dan Perbaikan Proses Pengiriman dan Pengantaran Pos untuk Mengurangi Tingkat Keluhan Pelanggan PT Pos Indonesia (Persero) Kcu Surabaya 60000

Evaluation and Improvement of the Postal Delivery Process to Reduce the Level of Customer Complaints PT Pos Indonesia (Persero) Kcu Surabaya 60000. This study aims to evaluate and improve the POS delivery and delivery process to reduce the level of customer complaints. A high level of customer complaints can be an indicator of problems in the POS delivery process that can interfere with customer satisfaction and company reputation. Once the problems are identified, improvement measures are proposed and implemented. These improvement measures involve increased coordination between relevant departments, improved training and supervision of employees involved in the POS shipping and delivery process, as well as more effective and efficient use of technology and optimized supply chain management. The results of this study show that by implementing the proposed improvement measures, the level of customer complaints can be significantly reduced. Customers experience increased satisfaction with the POS shipping and delivery process, which in turn can have a positive impact on the company's reputation. This research makes an important contribution in improving the POS shipping and delivery process to reduce the level of customer complaints. The practical implication of this research is that companies can implement the proposed improvement measures to enhance their service quality and strengthen customer relationships. In addition, this study also provides direction for further research in the field of operations management and service delivery.

Impact of Employee Performance Appraisal System On Employee Productivity A Study of Selected of Educational Institutes

The Employee performance is the strength of organization and Employee performance has traditionally been accorded prime focus by human resource managers. As a result, a number of performance appraisal techniques have over time been devised to help establish employee„s performance. In the contemporary times, the use of performance appraisals has been extended beyond the rating of the employee„s performance to aspects such as motivation. Accordingly, by the sought to investigate effectiveness of performance appraisal systems and its effect on employee motivation.
 Performance appraisal is a widely discussed concept in the field of performance management. The importance accorded to performance appraisal systems in part arises from the nature of the current business environment, which is marked by the need to achieve organisational goals as well as remain relevant in intensely competitive markets through superior employee performance. The organisations can however control how employees perform their jobs. In addition, performance management research shows that a significant number of employees tend to have the desire to perform their jobs well as part of their individual goals as well as a demonstration of loyalty towards the organisation.

ІМІТАЦІЙНЕ МОДЕЛЮВАННЯ МЕРЕЖІ МАСОВОГО ОБСЛУГОВУВАННЯ

In this work, simulation modeling of mass service network is investigated. The relevance of researching the topic lies in its potential to enhance efficiency and effectiveness across various service industries. In today's increasingly interconnected and technologically driven world, understanding how to optimize service delivery processes is paramount. By employing simulation modeling techniques, researchers and practitioners can simulate real-world scenarios, identify bottlenecks, test different strategies, and ultimately improve the overall performance of mass service networks. This research can have practical applications in areas such as transportation, healthcare, telecommunications, and customer service, where efficient management of large-scale service networks is essential for meeting demand, reducing costs, and enhancing customer satisfaction. Moreover, the insights gained from such research can inform policy-making decisions aimed at improving service accessibility, equity, and resilience in the face of disruptions, thus contributing to the advancement of both academic knowledge and practical applications in the field of service operations management. It is noted that simulation modeling can be considered as a methodology and not a theory of problem solving. One of the features of simulation models is the practically significant assumption that they can serve as a tool for analyzing the behavior of the system under the conditions determined by the experimenter. The elements of a mass service network are the input flow, the mass service system, and communication. The input flow is characterized by the interval of requests to the network, which can be a random or deterministic value, as well as the number of the mass service system to which the request is received. The state of the incoming stream is determined by the moment in time when the next request arrives in the mass service network. In the case when the time interval for the arrival of requirements is a random variable with a known distribution law, a random number generator is used to calculate it.

КЛАССИФИКАЦИЯ ФАКТОРОВ, ВЛИЯЮЩИХ НА ТРАНСАКЦИОННЫЕ ИЗДЕРЖИ В УПРАВЛЕНИИ МЕЖОРГАНИЗАЦИОННЫМИ СЕТЯМИ

This article conducts a thorough analysis of transaction costs arising in the process of managing inter-organizational networks. The authors focus on systematizing the factors that influence these costs and offer a comprehensive classification. The study is based on the transactional approach in economic theory, analyzing both internal and external aspects that affect the efficiency and cost of interactions between firms in the network. A definition of inter-organizational networks is provided, as well as a classification of inter-organizational networks developed. The article contributes to the theoretical and practical base of management of inter-organizational networks, providing valuable recommendations for managers and specialists in the field of strategic planning and operational management. The research results can be used to optimize transaction costs and enhance the efficiency of interaction between companies within network structures.

The role of big data in the formation of supply chain platform for new forms of online retail

PurposeThe purpose of this study is to explore the relationship between big data and supply chain platform in China’s retail industry. With the emergence of big data resources and technologies, the business pattern of new retail advocates the combination of online and offline channels. Supply chain platform plays a key role in the implementation of retail activities, which has gradually become a research hotspot in the cross field of operations management and information system.Design/methodology/approachThrough the method of literature review and case study, this study empirically explores how big data shapes supply chain platform to support new forms of online retail by grounded theory.FindingsThe model framework is validated by reliability test and coding method to process survey materials. The results identify the overall antecedents of supply chain platform and reveal positive effects between big data and new retail. The findings help firm managers build a big data-driven supply chain to support new retail.Originality/valueThere are insufficient studies on theoretical frameworks and interaction relationships among big data, supply chain platform and new retail.

OPERATIONAL STRATEGY: DEFINITION OF THE TERM AND ITS PLACE IN THE PYRAMID OF ENTERPRISE STRATEGIES

The article presents the main results of the conducted scientific research in the field of operational management. It was established that in order to solve the urgent tasks of achieving strategic development by enterprises and farms in difficult conditions (quite a high level of competition; functioning in conditions of uncertainty; the need for immediate response to global and local changes, which lead to the need for rapid adaptation to new realities; the need to ensure modernization, digitalization, innovative development, quality improvement, rationalization of both production and management of enterprises in general, etc.) it is absolutely necessary to form and implement an effective set of strategies, one component of which is an operational strategy. The task of clarifying its essence, types, constituent elements, approaches to formation, sequence of development and implementation are really appropriate and require detailing. First of all, the term "operational strategy" needs to be specified.
 A thorough review of modern developments and achievements of scientists and practitioners dedicated to the definition of operational strategy was carried out. Despite significant scientific work, it is concluded that the considered definitions are abstract; some of them either do not give a clear understanding of its subordination, or do not outline its place in the general system of strategic management of the enterprise.
 Thus, the main purpose of the article is to formulate a definition of the term "operational strategy" based on the emphasis of its essential features and specifying its place in the general pyramid of strategies.
 As a result of the research, based on identifying a set of essential features by using the supporting techniques of logic, as well as taking into account the content of the supporting (basic) terms (strategy and operational management), the definition of the term "operating strategy of the enterprise" was formulated and specified. The main essential features of this term have been established, such as: decisions on issues of general policy and plans for the use of resources; support/ensure long-term competitive strategy; achievement of strategic competitive advantage; a plan for using the firm's resources.
 The place of the operational strategy in the general pyramid of strategies is specified: it is developed at the third level of management in accordance with the competitive strategy and is equal to other functional strategies of the enterprise.

Toward Climate Neutrality: A Comprehensive Overview of Sustainable Operations Management, Optimization, and Wastewater Treatment Methods

Various studies have been conducted in the fields of sustainable operations management (SOM), optimization, and wastewater treatment, yielding unsubstantiated recovery. In the context of Europe’s climate neutrality vision, this paper reviews effective decarbonization strategies and proposes sustainable approaches to mitigate carbonization in various sectors such as buildings, energy, industry, and transportation and how these interlink with wastewater management. The study also explores the role of digitalization in decarbonization and reviews policies that can direct governments’ actions towards a climate-neutral society. This paper presents a review of optimization approaches applied in the fields of science and technology, incorporating modern optimization techniques based on various peer-reviewed published research papers. It emphasizes non-conventional energy and distributed power-generating systems along with the deregulated and regulated environment. Additionally, this paper critically reviews the performance and capability of the micellar-enhanced ultrafiltration (MEUF) process in the treatment of dye wastewater. The review presents evidence of the simultaneous removal of co-existing pollutants and explores the feasibility and efficiency of biosurfactants instead of chemical surfactants. Lastly, the paper proposes a novel Firm–Regulator–Consumer-Technology Enablers/Facilitators interaction framework to study operations, decisions and interactive cooperation considering the relationships between the four agents through a comprehensive literature review of SOM. The proposed framework provides support for exploring future research opportunities and holistic sustainability initiatives.