List of Forthcoming Journals

The journals in the list below have been accepted for publication in Operations and Supply Chain Management: An International Journal. We are currently in the process of assigning each of these entries into our upcoming issue. Once published, you can access the corresponding article for free through our repository. Please feel free to contact us via Contact Us page or our email for any inquiries.

1. The Influence of Supply Chain Process Integration on Firm Performance

Yaw Agyabeng-Mensah (Dalian Maritime University, China),
Esther Nana Konadu Ahenkorah (Regent University College of Science and Technology, Ghana)

Today’s competitive business environment has caused firms to abandon the use of traditional ways of improving performances. This has resulted in the search for many drivers of performance by both academicians and practitioners. This study examines the impact of supply chain management information systems on supply chain process integration and tests both individual and collaborative effects of supply chain process integration, customer satisfaction, and competitive advantage on the performance of firms. A survey was conducted using 275 supply chain and logistics managers who work in small and medium enterprises in Ghana. The data is collected using structured questionnaires. The explicit relationships between supply chain management information systems, supply chain process integration, customer satisfaction, competitive advantage and firm performance are proven using smartpls 3.2.8. The results suggests that the supply chain management information systems positively and significantly influences supply chain process integration. Again, the findings suggest that supply chain process integration, competitive advantage and customer satisfaction combine to significantly influence performance of firms. This is an indication that supply chain process integration instantaneously creates both customer satisfaction and competitive advantage, which reflects in the firm performances.

2. Strategizing Radio Frequency Identification in the Retail Supply Chains of Pakistan: A Multiple Case Study

Sanaa Khayyam (University of Management& Technology, Pakistan),
Asher Ramish (University of Management& Technology, Pakistan),
Khaliq Ur Rehman (Wuhan University of Technology, China),
Aly Raza Syed (University of Management& Technology, Pakistan)

The adoption of enabling technologies in developing countries is still considered as a challenge for the enterprises due to the lack of awareness levels. This study is an effort towards making it easy for the retail sector of developing countries like Pakistan by providing them with the framework for Radio Frequency Identification (RFID) implementation that may be applied in their respective contexts. This paper uses exploratory research design with multiple case study method within qualitative research domain. A detailed and comprehensive framework for RFID adoption and implementation within the developing country scenario is proposed. The proposed framework covers technical as well as non-technical aspects and the dimensions and would be a useful guide for adopting and implementing RFID in developing countries. The study has eliminated gaps in the previous frameworks through the inputs taken from the semi-structured interviews from the retail sector of Pakistan. Interviewees were selected on the basis of purposive sampling. The similar research may be conducted in other industries for any different results. The study would help as a guideline for the retail sector of developing countries to adopt and implement RFID in their supply chains through the application of the framework that may also be customized according to the nature of organization. By using this framework, the overall tracking and tracing of the products can be highly improved. This research will add value to the existing literature as very less research has been performed in the retail sector of developing countries related to RFID implementation.


Handaya (IPB University, Indonesia)

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.

4. Sustainable Agro-industry Logistics Solutions using Spatial Analysis

Hartrisari Hardjomidjojo (IPB University, Indonesia),
Rindra Yusianto (IPB University, Indonesia),
Marimin (IPB University, Indonesia),
Suprihatin (IPB University, Indonesia)

This study proposes a new approach to determine sustainable agro-industry logistics, i.e., material management and physical distribution solutions, 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 based on demand. Second, developed a sustainable harvest prediction by modifying the multi-thresholding method using remote sensing and IoT, namely SHT15 and rain gauge sensor. Third, developed a spatial distributing route planning wherein we adjust the Center of Gravity (COG) and spatial Dijkstra algorithm to determine the Logistic Center (LC) coordinates and select the optimal route. This study developed a comprehensive sustainable analysis model by integrating spatial dimensions with environmental, economic, and social dimensions to support sustainable food security. A multi-criteria spatial analysis in an environmental dimension considering six attributes, namely altitude, soil texture, slope percentage, rainfall, humidity, and temperature, was used. In the economic dimension, we compare the predicted total harvests with the current production capacity. 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 model by the modified multi-thresholding can predict the harvests more accurately. The results showed that the accuracy in predicting total harvest compared with the actual demand was 89.3%. Spatial distributing route planning with adjustment of the COG obtains more rational coordinates (X, Y), while 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.

5. Exploring performance deficits in the fish feed supply chain of Bangladesh

Imranul Islam (University of Copenhagen, Denmark ),
Max Nielsen (University of Copenhagen, Denmark ),
Birgit Schulze-Ehlers (University of Göttingen,Germany.),
Badiuz zaman (Patuakhali Science and Technology University, Bangladesh)

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.

6. Forecasting the quality of port infrastructure of Asian port countries: An application of modified Grey GM (1, 1) Model and clustering them using HCA algorithm

Mohammad Kamrul Hasan (Shijiazhuang Tiedao University, China),
Chen Yan-chun (Shijiazhuang Tiedao University, Shijiazhuang, China),
Shengyong Yao (Shijiazhuang Tiedao University, China),
Arifa Parvin Kemi (Budapest University of Technology and Economics, Hungary)

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, modified Grey 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 in future. Economies with high quality of port infrastructure will be the best performer in future; while the others with poor infrastructure will do better in future as well. The modified Grey GM (1, 1) model showed excellent accuracy and better performance in forecasting the quality of port infrastructure. The contributions of the study are manifolds. Firstly, the forecasting values of each country offer valuable insight to formulate individual policies and strategies. Secondly, 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.

7. Acceptance of Blockchain Technology in Supply Chains: A Model Proposal

Haldun Colak (Anadolu University, Turkey),
Celal Hakan Ka?n?c?o?lu (Anadolu University, Turkey)

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.

8. Industry 4.0: a bibliometric analysis in the perspective of operations management

Juliano Endrigo Sordan (Federal University of São Carlos, Brazil),
Pedro Oprime (Federal University of São Carlos, Brazil),
Márcio Lopes Pimenta (Federal University of Uberlandia, Av. João Naves de Ávila, Brazil),
Paolo Chiabert (Politecnico di Torino, Italy),
Franco Lombardi (Politecnico di Torino, Italy)

This study aims to analyze 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 analyzed 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.