1. OSCM Publications
  2. Volume 15, Issue 1, 2022

Volume 15, Issue 1, 2022

  1. The effects of dynamism, relational capital, and ambidextrous innovation on the supply chain resilience of U.S. firms amid COVID-19
    • Charles Robb
    • Minhyo Kang
    • Aaron Stephens
    Abstract Full PDF Cite DOI: 10.31387/oscm0480326
    Supply chain resilience has become a topic of revitalized interest amid COVID-19. Amongst other anomalies, COVID-19 continues to disrupt global supply chains; thus, it remains critical to understand resilience in supply chains as a mechanism with which to respond to pandemic-related disruptions. Supply chains remain an important determinant of firm capital consumption and, as such, this study aims to examine the relationships between ambidexterity and relational capital as they relate to the resilience of U.S firms’ supply chains during the contemporary market irregularities. A sample of 227 firms located in the United States were collected to analyse these convictions. PLS-SEM was utilized to test both direct and mediation results. Results suggest relational capital may have a significant role in facilitating supply chain resilience. Relational capital also acts as a strong mediator between ambidextrous innovation and resilience. Nevertheless, ambidexterity is less influential upon supply chain resilience than anticipated. This study therefore contributes towards existing supply chain resilience literature by providing a novel approach to including relational capital; something not previously considered. This paper also contributes to a greater understanding of the notions of ambidextrous innovation and relational capital amid extreme supply chain disruptions caused by the COVID-19 pandemic.
    @article{oscm-2022-131,
  title={The effects of dynamism, relational capital, and ambidextrous innovation on the supply chain resilience of U.S. firms amid COVID-19},
  year={2022},
  author={Charles Robb and Minhyo Kang and Aaron Stephens},
  journal={Operations and Supply Chain Management: An International Journal},
  volume={15},
  number={1},
  pages={1--16},
  doi={10.31387/oscm0480326}
}
    Charles Robb, Minhyo Kang, Aaron Stephens (2022). The effects of dynamism, relational capital, and ambidextrous innovation on the supply chain resilience of U.S. firms amid COVID-19. Operations and Supply Chain Management: An International Journal, 15(1), 1-16. https://doi.org/10.31387/oscm0480326
  2. Acceptance of Blockchain Technology in Supply Chains: A Model Proposal
    • Haldun Colak
    • Celal Hakan Kagn?c?oglu
    Abstract Full PDF Cite DOI: 10.31387/oscm0480327
    The aim of this study is to determine the factors that affect the adoption of blockchain technology by the companies in the industries such as raw material, transportation, healthcare, food, financial and to propose a comprehensive model explaining adoption behavior in the supply chain context. Supply chain, blockchain, information systems, and logistics literature have been extensively examined to create the associated model. Accordingly, the concept of inter-firm acceptance faced by researchers was accepted as a differentiating point and related constructs and the model were designed specifically for blockchain technology. A comprehensive literature review showed that there is a very limited number of studies on the acceptance of blockchain technologies by companies. The model created consists of 4 main determinants and 10 related attributes. In this context, inter-organizational factors such as power and trust of chain stakeholders and readiness for technology as organizational factor were analyzed within the integration of relative advantage, transparency, and cost as main characteristics of the technology. This model provides an important and unique perspective for practitioners and the academic studies to be carried out.
    @article{oscm-2022-132,
  title={Acceptance of Blockchain Technology in Supply Chains: A Model Proposal},
  year={2022},
  author={Haldun Colak and Celal Hakan Kagn?c?oglu},
  journal={Operations and Supply Chain Management: An International Journal},
  volume={15},
  number={1},
  pages={17--26},
  doi={10.31387/oscm0480327}
}
    Haldun Colak, Celal Hakan Kagn?c?oglu (2022). Acceptance of Blockchain Technology in Supply Chains: A Model Proposal. Operations and Supply Chain Management: An International Journal, 15(1), 17-26. https://doi.org/10.31387/oscm0480327
  3. Strategizing Radio Frequency Identification (RFID) in the Retail Supply Chains of Pakistan: A Multiple Case Study
    • Sanaa Khayyam
    • Asher Ramish
    • Khaliq Rehman
    • Aly Raza Syed
    Abstract Full PDF Cite DOI: 10.31387/oscm0480328
    Adopting enabling technologies in developing countries is a challenge for enterprises due to the lack of awareness levels. This study aims to facilitate the retail sector of developing countries like Pakistan by providing them with the framework for Radio Frequency Identification (RFID) implementation, which they can implement in their context with slight modifications. This paper uses an exploratory research design with multiple case study methods within the qualitative research domain. The proposed framework covers technical and non-technical aspects and dimensions and would help adopt and implement RFID in developing countries. The current study attempts to eliminate the gaps in the previous frameworks through the inputs taken from the semi-structured interviews from the retail sector of Pakistan. Interviewees were selected based on purposive sampling. The study would is for the retail sector of developing countries to adopt and implement RFID in their supply chains through the application customized framework according to the nature of the organization. This framework will help the managers by improving the overall tracking and tracing of the products. This research will add value to the existing literature as significantly less research has been performed in the retail sector of developing countries related to RFID implementation.
    @article{oscm-2022-133,
  title={Strategizing Radio Frequency Identification (RFID) in the Retail Supply Chains of Pakistan: A Multiple Case Study},
  year={2022},
  author={Sanaa Khayyam and Asher Ramish and Khaliq Rehman and Aly Raza Syed},
  journal={Operations and Supply Chain Management: An International Journal},
  volume={15},
  number={1},
  pages={27--40},
  doi={10.31387/oscm0480328}
}
    Sanaa Khayyam, Asher Ramish, Khaliq Rehman, Aly Raza Syed (2022). Strategizing Radio Frequency Identification (RFID) in the Retail Supply Chains of Pakistan: A Multiple Case Study. Operations and Supply Chain Management: An International Journal, 15(1), 27-40. https://doi.org/10.31387/oscm0480328
  4. Sustainable Agro-industry Logistics Solutions using Spatial Analysis
    • Hartrisari Hardjomidjojo
    • Rindra Yusianto
    • Marimin Marimin
    • Suprihatin Suprihatin
    Abstract Full PDF Cite DOI: 10.31387/oscm0480329
    This study proposes a new approach to determine sustainable agro-industry logistics by minimizing supply and demand imbalances using spatial analysis. The potato food crop agro-industry at Wonosobo district, Central Java, Indonesia, was selected as the case. This study first developed a spatial-based cropland sustainability classification. Second, developed a sustainable harvest prediction by modifying the multi-thresholding using remote sensing and IoT, namely SHT15 and rain gauge sensor. Third, we developed a spatial route planning wherein we adjust the COG and spatial Dijkstra algorithm to select the optimal route. This study developed a comprehensive sustainable analysis by integrating spatial dimensions with environmental, economic, and social dimensions to support sustainable food security. Multi-criteria spatial analysis was used in an environmental measurement considering altitude, soil texture, slope, rainfall, humidity, and temperature. In the economic dimension, we compare the predicted total harvests with the current production. We consider the social dimension, namely population density, spatial-temporal congestion, and risk hazard-zones index. This study shows that spatial-based cropland sustainability classification can determine the most sustainable location for potato plants. This study shows that the sustainable harvest prediction by the modified multi-thresholding can predict the harvests more accurately, namely 89.3%. Spatial distributing route planning with adjustment of the COG obtains more rational coordinates than the classical method. In addition, spatial Dijkstra algorithm modification can show a more optimal route for agro-industrial commodities. This new approach has demonstrated that spatial analysis can be an alternative solution to minimize supply and demand imbalances in sustainable agro-industry logistics.
    @article{oscm-2022-134,
  title={Sustainable Agro-industry Logistics Solutions using Spatial Analysis},
  year={2022},
  author={Hartrisari Hardjomidjojo and Rindra Yusianto and Marimin Marimin and Suprihatin Suprihatin},
  journal={Operations and Supply Chain Management: An International Journal},
  volume={15},
  number={1},
  pages={41--55},
  doi={10.31387/oscm0480329}
}
    Hartrisari Hardjomidjojo, Rindra Yusianto, Marimin Marimin, Suprihatin Suprihatin (2022). Sustainable Agro-industry Logistics Solutions using Spatial Analysis. Operations and Supply Chain Management: An International Journal, 15(1), 41-55. https://doi.org/10.31387/oscm0480329
  5. Impact of Experience and Education on Risk Attitude and Risk Perception of Supply Chain Management Professionals
    • Douglas McWilliams
    • Carmella Lennon
    • Johnny Lowery
    Abstract Full PDF Cite DOI: 10.31387/oscm0480330
    Globalization and technology have allowed supply chains to be geographically spread across the world. Supplier evaluation and selection play a major part in the continuity of these supply chains. Our study attempts to answer three fundamental questions related to the risk attitude and risk perception of Supply Chain Management (SCM) professionals in the evaluation and selection of suppliers. What is the relationship between their risk attitude and risk perception? How do SCM professionals with different risk attitudes differ in the way they perceive risk? Last, do factors such as education and experience affect the relationship? We test these questions using empirical data from a sample of 307 randomly selected SCM professionals. Prospect theory and bounded rationality theory are both used in efforts to mutually develop the scope of this study. Our findings suggest a negative relationship exists between risk attitude and risk perception and that the relationship is strongly significant. The results showed that experience did not moderate the relationship; however, formal education in supply chain management moderate the relationship. SCM professionals with formal education in SCM tend to perceive a higher risk of supply chain disruptions for given scenarios compared to SCM professionals without formal education in SCM.
    @article{oscm-2022-135,
  title={Impact of Experience and Education on Risk Attitude and Risk Perception of Supply Chain Management Professionals},
  year={2022},
  author={Douglas McWilliams and Carmella Lennon and Johnny Lowery},
  journal={Operations and Supply Chain Management: An International Journal},
  volume={15},
  number={1},
  pages={56--68},
  doi={10.31387/oscm0480330}
}
    Douglas McWilliams, Carmella Lennon, Johnny Lowery (2022). Impact of Experience and Education on Risk Attitude and Risk Perception of Supply Chain Management Professionals. Operations and Supply Chain Management: An International Journal, 15(1), 56-68. https://doi.org/10.31387/oscm0480330
  6. A Proposed Model for Drug Demand Forecasting and Ordering Inventory System for Dengue Endemic
    • Irwan Syahrir
    • Suparno
    • Iwan Vanany
    Abstract Full PDF Cite DOI: 10.31387/oscm0480331
    In a tropical country such as Indonesia, dengue fever has become an endemic outbreak because it occurs almost every year, especially in the beginning and towards the end of the rainy season. Districts affected by dengue fever need accuracy in predicting the number of patients and drugs. Hospitals need a suitable drug order inventory system to treat dengue patients. The objective of this paper is to develop a model with higher accuracy and suitability. We propose a two-phase model with several steps and methods to fulfill the objective of each phase. In first phase, we determine a drug forecasting method to predict the number of patients and drug demand. In the second phase, we determine the drug order system (continuous review and periodic review) including the optimal quantities, frequencies, safety stock, and reorder point. The proposed model was then applied in a hospital in Sidoarjo. The results show that the proposed model can be applied in the district and the hospital; and the drug demand forecasting and ordering system resulted in optimal inventory and costs. This study proposed a new multi-phased model that can be used in drug demand forecasting and ordering system, with practical benefits for hospitals and the healthcare systems.
    @article{oscm-2022-136,
  title={A Proposed Model for Drug Demand Forecasting and Ordering Inventory System for Dengue Endemic},
  year={2022},
  author={Irwan Syahrir and Suparno and Iwan Vanany},
  journal={Operations and Supply Chain Management: An International Journal},
  volume={15},
  number={1},
  pages={69--78},
  doi={10.31387/oscm0480331}
}
    Irwan Syahrir, Suparno, Iwan Vanany (2022). A Proposed Model for Drug Demand Forecasting and Ordering Inventory System for Dengue Endemic. Operations and Supply Chain Management: An International Journal, 15(1), 69-78. https://doi.org/10.31387/oscm0480331
  7. A Conceptual Framework for the Identification of Food Safety Risks in Global Commodity Flows Exemplified by Agricultural Bulk Commodities
    • Milena Zupaniec
    • Helmut-A. Schafft
    • Robert Pieper
    • Ann-Kathrin Lindemann
    • Anneluise Mader
    Abstract Full PDF Cite DOI: 10.31387/oscm0480332
    Globalization of agricultural trade has led to food supply chains becoming increasingly complex. A high number and diversity of entities, processes, and localisations can create food safety risks and vulnerabilities at all stages of the food supply chain. To date, food safety measures have focused mainly on production, processing, and retail. However, the dimension of commodity flows embedded in the logistics sector, which links the main stages, has largely been neglected. The resulting knowledge gaps pose a challenge to risk assessors concerned with consumer health protection. To map the research area of global commodity flows and investigate their impact on food safety, a conceptual framework (CF) was developed using agricultural bulk commodities (ABC) as an example. The construction of the CF is based on a qualitative text analysis of multidisciplinary literature, adapted from the Grounded Theory approach. Here we determined and illustrated different levels of the main concepts inside and outside of ABC flows relevant for the investigation of logistics in terms of food safety. The main internal concepts are Key processes and Management, Key actors and Cooperation, Routes and Nodes, and their Quality and Capacity. The external concepts can be divided into Logistics-related conditions and the associated Diversity, as well as Drivers of change associated with the Dynamics of globalization. The developed CF represents a first model for holistically investigating logistics in terms of food safety by defining, structuring, and delimitating logistics as a new field of investigation in risk assessment. It offers suitable concepts and application-oriented theories related to food safety that serve as a basis for empirical studies, such as the identification of critical factors in the logistics sector. Further, it serves as an aid to practitioners in dealing with complex food safety problems in the context of risk management.
    @article{oscm-2022-137,
  title={A Conceptual Framework for the Identification of Food Safety Risks in Global Commodity Flows Exemplified by Agricultural Bulk Commodities},
  year={2022},
  author={Milena Zupaniec and Helmut-A. Schafft and Robert Pieper and Ann-Kathrin Lindemann and Anneluise Mader},
  journal={Operations and Supply Chain Management: An International Journal},
  volume={15},
  number={1},
  pages={79--92},
  doi={10.31387/oscm0480332}
}
    Milena Zupaniec, Helmut-A. Schafft, Robert Pieper, Ann-Kathrin Lindemann, Anneluise Mader (2022). A Conceptual Framework for the Identification of Food Safety Risks in Global Commodity Flows Exemplified by Agricultural Bulk Commodities. Operations and Supply Chain Management: An International Journal, 15(1), 79-92. https://doi.org/10.31387/oscm0480332
  8. Industry 4.0: A Bibliometric Analysis in the Perspective of Operations Management
    • Juliano Sordan
    • Pedro Oprime
    • Marcio Pimenta
    • Paolo Chiabert
    • Franco Lombardi
    Abstract Full PDF Cite DOI: 10.31387/oscm0480333
    This study aims to analyse the literature regarding the characteristics of Industry 4.0 in the context of operations management. The analysis covers the evolution of publications over time, the countries involved, the most prolific journals, the most cited authors, and the identification of the most frequent words that can generate insights for the research agenda. A total of 235 articles published between 2011 and 2017 were collected through an automated process from the Scopus and Web of Science databases and later analysed using data mining, bibliometric indicators analysis, clusters analysis, networks analysis, and word cloud. The bibliographic analysis explained the interaction between the various concepts and techniques associated with the central theme. These concepts and respective characteristics discussed allow an understanding and the development of agenda with theoretical possibilities to fill current research gaps.
    @article{oscm-2022-138,
  title={Industry 4.0: A Bibliometric Analysis in the Perspective of Operations Management},
  year={2022},
  author={Juliano Sordan and Pedro Oprime and Marcio Pimenta and Paolo Chiabert and Franco Lombardi},
  journal={Operations and Supply Chain Management: An International Journal},
  volume={15},
  number={1},
  pages={93--104},
  doi={10.31387/oscm0480333}
}
    Juliano Sordan, Pedro Oprime, Marcio Pimenta, Paolo Chiabert, Franco Lombardi (2022). Industry 4.0: A Bibliometric Analysis in the Perspective of Operations Management. Operations and Supply Chain Management: An International Journal, 15(1), 93-104. https://doi.org/10.31387/oscm0480333
  9. Forecasting the Quality of Port Infrastructure of Asian Port Countries: An Application of the Model GM (1, 1) and Clustering Them Using HCA Algorithm
    • Mohammad Hasan
    • Chen Yan Chun
    • Shengyong Yao
    • Arifa Parvin Kemi
    Abstract Full PDF Cite DOI: 10.31387/oscm0480334
    This study is an endeavor to forecast the quality of port infrastructure of Asian port economies. A sample of 32 economies are selected counting the year from 2015-2019. Data are collected from the Global Competitiveness Report. A data forecasting algorithm, the GM (1, 1) approach, is applied, and finally the economies are clustered with their forecasted values using Hierarchical Cluster Analysis (HCA). The empirical findings demonstrated that there would be change in the quality of port infrastructure. Economies with high quality of port infrastructure will be the best performer, while the others with poor infrastructure will do better in future as well. The modified Grey model showed excellent accuracy and better performance in forecasting the quality of port infrastructure. The forecasting values of each country offer valuable insight to formulate individual policies and strategies. The port facilitators and the decision makers would be able to distinguish the higher and the lower performer from the cluster analysis and focus on the underperformed region undertaking individual measures to improve the quality of their port infrastructure as well. Additionally, it will contribute as a hybrid methodology that the individual country can apply practically in prediction and clustering them to take decision on the quality of port infrastructure for next 5 years. Finally, it will theoretically extend the frontier of knowledge in port infrastructure research.
    @article{oscm-2022-139,
  title={Forecasting the Quality of Port Infrastructure of Asian Port Countries: An Application of the Model GM (1, 1) and Clustering Them Using HCA Algorithm},
  year={2022},
  author={Mohammad Hasan and Chen Yan Chun and Shengyong Yao and Arifa Parvin Kemi},
  journal={Operations and Supply Chain Management: An International Journal},
  volume={15},
  number={1},
  pages={105--121},
  doi={10.31387/oscm0480334}
}
    Mohammad Hasan, Chen Yan Chun, Shengyong Yao, Arifa Parvin Kemi (2022). Forecasting the Quality of Port Infrastructure of Asian Port Countries: An Application of the Model GM (1, 1) and Clustering Them Using HCA Algorithm. Operations and Supply Chain Management: An International Journal, 15(1), 105-121. https://doi.org/10.31387/oscm0480334
  10. Empirical Investigation of Mediating Role of Six Sigma Approach in Rationalizing the COQ in Service Organizations
    • Yanamandra Ramakrishna
    • Haitham Alzoubi
    Abstract Full PDF Cite DOI: 10.31387/oscm0480335
    The aim of this study is to investigate the role of Six Sigma and Lean Operations in achieving the minimization of Cost of Quality (COQ) in service sector companies in UAE. The impact of the Lean Operations on controlling and rationalizing various costs related to quality through six sigma approach is studied on these companies listed in Dubai Financial Market. To accomplish this, an empirical research methodology has been adopted by conducting a field survey to collect the data, using a structured questionnaire. Totally 120 questionnaires were approved for analysis out of the total number of distributed questionnaires. The results of the study revealed the need for application of six sigma approach in service sector companies to improve the quality of services and for achieving the rationalization of costs related to quality. The study also revealed very interesting aspects related to lean and six sigma in service sector companies. Based on these findings, a number of suggestions and recommendations were made. These include the need to create an awareness about the theoretical concepts and practical implications of six sigma, lean management, and total quality management. The need to adopt a professional methodology to implement these concepts in service companies listed in Dubai Financial Market is also recommended through this study.
    @article{oscm-2022-140,
  title={Empirical Investigation of Mediating Role of Six Sigma Approach in Rationalizing the COQ in Service Organizations},
  year={2022},
  author={Yanamandra Ramakrishna and Haitham Alzoubi},
  journal={Operations and Supply Chain Management: An International Journal},
  volume={15},
  number={1},
  pages={122--135},
  doi={10.31387/oscm0480335}
}
    Yanamandra Ramakrishna, Haitham Alzoubi (2022). Empirical Investigation of Mediating Role of Six Sigma Approach in Rationalizing the COQ in Service Organizations. Operations and Supply Chain Management: An International Journal, 15(1), 122-135. https://doi.org/10.31387/oscm0480335
  11. Exploring Performance Deficits in the Fish Feed Supply Chain of Bangladesh
    • Imranul Islam
    • Max Nielsen
    • Birgit Schulze-Ehlers
    • Badiuzzaman Badiuzzaman
    Abstract Full PDF Cite DOI: 10.31387/oscm0480336
    Fish farmers in Bangladesh have many issues with the performance of the feed supply chain. The study used the supply chain operations reference (SCOR) model to select the key operational stages of the supply chain and the measurement criteria. The analytical hierarchy process (AHP) prioritized the phases and criteria and developed the expected performance of the feed supply chain. By comparing the expected performance and the perceived current performance, we identified the performance gap in the feed supply chain. The transaction costs were calculated separately. The study found that high costs were the main reason for low performance in the feed supply chain. The reliability of the product quality was also a concerning issue in the chain. Compared to other actors in the chain, dealers are the low performers. The study suggests performance can be improved by developing direct channels between manufacturers and farmers, thereby omitting dealers and concentrating on local raw material production. The study also demonstrated that transaction costs play an important role in the performance of the supply chain. This study is the first to empirically examine this situation and is innovative in that its examination of the feed supply chain included transaction costs.
    @article{oscm-2022-141,
  title={Exploring Performance Deficits in the Fish Feed Supply Chain of Bangladesh},
  year={2022},
  author={Imranul Islam and Max Nielsen and Birgit Schulze-Ehlers and Badiuzzaman Badiuzzaman},
  journal={Operations and Supply Chain Management: An International Journal},
  volume={15},
  number={1},
  pages={136--147},
  doi={10.31387/oscm0480336}
}
    Imranul Islam, Max Nielsen, Birgit Schulze-Ehlers, Badiuzzaman Badiuzzaman (2022). Exploring Performance Deficits in the Fish Feed Supply Chain of Bangladesh. Operations and Supply Chain Management: An International Journal, 15(1), 136-147. https://doi.org/10.31387/oscm0480336
  12. A Soft System Dynamic Approach for Designing Palm Kernel Shell Supply Chain
    • Handaya Handaya
    • Herri Susanto
    • Dikky Indrawan
    • Marimin Marimin
    Abstract Full PDF Cite DOI: 10.31387/oscm0480337
    Palm kernel shell (PKS) is a waste of palm oil processing, that has enormous potential to become a green energy resource for industries with thermal conversion. To realize PKS potential as biomass fuel, it is important to build an effective, efficient, and sustainable supply chain model. As with other biomass, PKS supply chain involves collection processes, storage facilities, and a transportation network, which is dynamic and optimizable. Soft systems dynamics methodology (SSDM) has been implemented in this study, by which its key feature of system dynamics is recognized as one of the most ideal modeling techniques for studying such complex and multivariate system. We demonstrate how to apply SSDM in analyzing and designing a sustainable supply system of PKS through mathematical modeling and simulations, which capture the long-term effect of and the interactions among supply chain design variables and parameters. The simulation results show that the proposed supply chain model would be able to deliver continuous availability of PKS at the end customer side by achieving the goal of minimum 95% customer production level despite decreasing PKS generation rate from the source and increasing other consumption rate. Furthermore, decision makers can identify and implement necessary changes and recommendations to improve the existing supply chain system. The application of soft systems dynamics approach in biomass supply chain will enable greater use of green energy for continuous industrial purposes.
    @article{oscm-2022-142,
  title={A Soft System Dynamic Approach for Designing Palm Kernel Shell Supply Chain},
  year={2022},
  author={Handaya Handaya and Herri Susanto and Dikky Indrawan and Marimin Marimin},
  journal={Operations and Supply Chain Management: An International Journal},
  volume={15},
  number={1},
  pages={148--163},
  doi={10.31387/oscm0480337}
}
    Handaya Handaya, Herri Susanto, Dikky Indrawan, Marimin Marimin (2022). A Soft System Dynamic Approach for Designing Palm Kernel Shell Supply Chain. Operations and Supply Chain Management: An International Journal, 15(1), 148-163. https://doi.org/10.31387/oscm0480337
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