Service Supply Chain Research Articles

RETRACTION: The Risk Evaluation and Management of the Sports Service Supply Chain by Introducing Fuzzy Comprehensive Appraisal and Artificial Intelligence Technology

<scp>RETRACTION</scp>: The Risk Evaluation and Management of the Sports Service Supply Chain by Introducing Fuzzy Comprehensive Appraisal and Artificial Intelligence Technology

Research on Construction and Optimization Paths for Quality Concept Model of Green Supply Chain of Livestock Products

The quality of the supply chain for livestock products is related to the sustainable development of the livestock industry and national food security. Based on supply chain theory, green supply chain theory, and quality management theory, combined with the characteristics of livestock products and field research in China and Mongolia, a conceptual model of green supply chain quality for livestock products was constructed around two dimensions: livestock product quality and green supply chain service quality. Among them, the factors affecting the quality of livestock products are composed of 10 factors pertaining to breeding, slaughtering and processing, circulation, and sales; the factors affecting the service quality of the green supply chain of livestock products are composed of 16 factors in five links of supply chain services, such as logistics, information flow, capital flow, personnel quality, and public services. The quality of livestock products and the quality of green supply chain services of livestock products are not independent from each other, but show a relationship of mutual influence and mutual restriction. Focusing on the two dimensions of livestock product quality and livestock product green supply chain service quality, an optimization path of livestock product green supply chain quality is proposed. The research findings have certain guiding significance for promoting the high-quality development of green supply chains for cross-border livestock products in China and Mongolia.

Sustainability Service Chain Capabilities in the Oil and Gas Industry: A Fuzzy Hybrid Approach SWARA-MABAC

This study aims to redefine the capabilities of the service supply chain in the Iranian oil and gas industry, where the concept of service chains has remained underdeveloped due to a traditional focus on conventional service chains. It seeks to compare the capabilities of the oil and gas service supply chain to those in other sectors and explore whether applied research is necessary to improve service chain performance. The study was conducted in three stages, involving ten petroleum and natural gas experts. The first stage focused on identifying key capabilities, yielding seven significant capabilities and 28 critical sub-capabilities. In the second stage, the SWARA fuzzy hybrid approach was employed to weigh and prioritize these capabilities, while the fuzzy MABAC methodology was used for strategic decision-making. Finally, the model’s sensitivity was assessed using fuzzy methods to validate the findings. The results highlight the highest priority capability for service providers: the ability to utilize information for updating information processing capacity in making decisions within the service supply chain. The selected location, G1, emerged as a key area of focus. This approach presents a novel method for optimizing service supply chain locations within the oil and gas sector. This paper introduces a unique approach to selecting optimal service supply chain locations in the oil and gas industry, addressing critical gaps in previous research. Employing advanced fuzzy hybrid methodologies provides valuable insights into improving service chain capabilities, offering a competitive advantage for companies operating in this sector.

Quality Improvement Decisions in Service Supply Chains with Collaborative and Free-Riding Behaviors

The dominant position of a member within a service supply chain plays a crucial role in fostering a willingness to improve service quality. Consequently, this study examines a service supply chain comprising a supplier and an integrator, aiming to investigate the influence of four different power structures, namely, supplier-led, integrator-led, supplier–integrator power balance, and supplier–integrator centralized decision, on the decision-making process for service quality improvement by members. The findings highlight that the optimal willingness to improve service quality in a service supply chain is not necessarily infinitely close to 100%, and is influenced by factors such as revenue share, cost, effect, and dominant position. In cases where the collaborative improvement effect is weak, even the dominant member may display a limited willingness, rendering centralized decision-making meaningless. If the collaborative improvement effect surpasses the combined independent improvement effects, the dominant position can help strengthen willingness, although it may not always result in higher profits. Conversely, a power-balanced scenario can be advantageous in achieving the highest profit for the entire supply chain.

Possible Contours of Developing International Trade in the Perimeter of Global Value Chains under the Conditions of New Reality

The transition from hyperglobalization to slowgbalization that began after the 2008 global financial crisis has increased skepticism about the future of globalization and motivation to adjust the architecture of international trade. The subsequent series of global shocks – the aggravation of the US-Chinese trade relations, the COVID-19 pandemic, the events in Ukraine in 2022-2023 – aggravated the situation, exacerbating the problem of stopping the negative consequences of the disruption of supply chains of goods and services. The purpose of the article is to clarify the contours of restructuring and outlooks for the development of cross-border trade in the context of new reality: the imposition of global shocks, increasing geopolitical uncertainty and increasing fragmentation of the world economy. The object of the study is the international trade in the perimeter of global value chains (GVCs), whose share in world trade increased from 34.93% in 1995 to 45.24% in 2007 and, after falling to 43.49% in 2020, quickly recovered and increased to 49.38% in 2022. The analysis of quantitative and structural shifts in GVC-trade was based on the methodology of structuring exports in the categories of value added by A. Borin and M. Mancini. The prospects for GVC-trade were assessed using the methods of identifying the “risk iness” of goods in the export-import turnover of S. Majune and V. Stolzenburg, the frequency of cross-border bilateral interactions of S. Liang, the agglomeration to global trade of K. Baris. The characteristics of the four main options for strengthening the resistance of GVCs in modern conditions are given – reshoring, diversification, regionalization and replication. The working hypothesis has been confirmed: all 4 considered trajectories are not mutually exclusive and none of them presupposes complete autarky of the country. The main conclusion is made, according to which the negative events in the global economy of the last decade reconfigured trade flows, accelerated the processes of regionalization of the global economy, but did not become a trigger for deglobalization.

Understanding the dynamics of customer satisfaction and repurchase intentions in the era of platform service supply chain – a case study of Foodpanda in Pakistan

ABSTRACT This study investigates the evolving restaurant sector in Pakistan, highlighting the significant role of Platform Service Supply Chains (PSSC) facilitated by food ordering apps like Foodpanda. Understanding PSSC is essential for businesses to thrive in the digital age and effectively manage the dynamics of digital service delivery. Foodpanda exemplifies a complex multi-stakeholder ecosystem that involves intricate technology integration, logistics challenges, robust data management, and a continuous need for innovation in a competitive market. This research aims to identify the key factors driving customer satisfaction and repurchase intention in this dynamic environment, acknowledging the transformative impact on consumer behavior. It also examines how health consciousness and food safety concerns influence these relationships in Pakistan. The study employs an integrated model based on the Theory of Planned Behaviour (TPB) and the Unified Theory of Acceptance and Use of Technology (UTAUT), collecting data from a convenient sample of Foodpanda app users. Using structural equation modeling, the findings highlight critical determinants such as effort expectancy, perceived usefulness, information quality, perceived risk, social influence, and trust in shaping customer satisfaction. This satisfaction, in turn, positively affects repurchase intention. Importantly, the study reveals that health consciousness and food safety concerns negatively impact the positive relationship between customer satisfaction and repurchase intention. The paper contributes theoretically by exploring customer behavior intricacies within the PSSC framework and offers practical insights for researchers and professionals in the food app industry. However, it acknowledges limitations, such as the use of a convenient sample, and suggests avenues for further research in this growing field.

Construction of supply chain management information system based on networked web service composition technology

Web service composition is crucial for creating valuable services by integrating pre-existing ones. With their service-oriented architecture (SOA), which can be used for any system design, web services can increase flexibility. Fusing Web services architecture with Semantic Web services can better assist supply chain coordination in a distributive, autonomous, and ever-changing corporate environment than current information technology. Decisions must be made quickly and with enough information many systems fail to provide real-time supply chain insight. Forecasting, inventory management, and decision-making may all be impacted by poor data quality. Modifying preexisting systems according to unique organizational needs may be challenging and expensive. Hence, this paper proposes a semantic web service-based supply chain management framework (SWS-SCMF) to analyze the web services in supply chains and examine how they interact using Web Ontology Language (OWL)-S, including automated discovery, construction, and invocation. The suggested method for improving supply chain data integration uses an ontology-based multiple-agent decision support system. Different accessibility tools, data formats, management information systems, semantic web, and databases are integrated across the five interconnected levels of the system. Businesses may find the proposed approach useful for data and information sharing when dealing with complex supply chain management. The suggested SWS-SCMF is an adaptable, accurate, and effective method for bidirectional chaining composition that uses mediators to enable the automated composition of Semantic Web services. The numerical results show that our proposed method enhances the overall performance ratio by 94%, accuracy ratio by 98%, and supply chain management ratio by 91% compared to other methods.

A Tale of Two Frontlines: Critically Assessing the Dynamics of Interracial Service Encounters

Minority frontline workers are often required to engage in interracial service encounters, which often involve additional complexities due to the subtle biases and stereotypes held by customers. Improving service delivery in interracial service encounters requires understanding the experiences of minority frontline workers. We begin by explaining the challenges faced by minority frontline workers and then offer an analytical framework that will allow operations management research to better account for these experiences. Next, we discuss opportunities for operations management researchers to explore how interracial service encounters impact employees, service operations, and service supply chains.

Developing a Logistics Ontology for Natural Language Processing

The business area requires the presence of Supply Chain services, to respond to the constantly evolving requirements. Supply chains are dynamic networks that include a continuous flow of processes, starting with the supplier and ending with the customer. For effective supply chain management, a conceptual understanding of the knowledge underlying this field is of utmost importance. On the other hand, ontologies are considered one of the most appropriate ways of representing knowledge and valuable tools for decision-making situations. The purpose of this paper is to present an ontology created to identify the common concepts of supply chain management systems, with the ultimate goal of supporting and promoting Natural Language Processing technologies through the representation of terminological knowledge for this specific field.

Fervo Showed Fractured Geothermal Works, Now Must Do It Bigger, Cheaper, and Soon

Earlier this year, one of the founders of Fervo Energy announced that the geothermal innovator had reached its “Mitchell moment.” Jack Norbeck, chief technology officer for Fervo, likened a test where it used a pair of fractured wells to create water hot enough to generate electricity to the time when Mitchell Energy adopted slickwater fracturing to economically extract large amounts of gas from the ultratight rock in the Barnett Formation. “We have derisked all those core challenges, we reached the Mitchell Energy moment for geothermal,” Norbeck said. By doing all that and supplying 3.5 MW of electricity to the local grid that powers Google facilities, he announced that the firm’s enhanced geothermal system (EGS), had reached the highest level of technical readiness. Now comes the hard part—proving that technical triumph can be turned into something really big. The Mitchell moment in 1997 is remembered because it led to a series of innovations that allowed hydraulic fracturing and horizontal drilling to add enough oil and gas production to move global markets. What has been learned about fracturing in the decades since allowed oil industry veterans at Fervo to effectively use those tools to do what others had failed to accomplish—create high-volume EGS capable of generating power. One big difference between the moments is that Houston-based Fervo’s next step looks like a leap compared to Mitchell’s. After Mitchell’s moment, no innovation was required to sell shale gas from the Barnett or find the oilfield services needed to develop and produce it. Plus, it could learn from the many other companies working in tight rock plays. Its moment was the culmination of years of innovations by oil and service companies who continued finding ways to build on that advance. The endless arguments over who can claim credit for the innovations behind the Mitchell moment are evidence of the size of that support network. Today, Fervo’s efforts are also supported by the oil industry’s service sector and supply chain. Oil company Devon Energy, drilling contractor Helmerich &amp; Payne, and pressure-pumping specialist Liberty Energy are among its early backers. And Fervo is benefiting from the government-funded research and site-evaluation work at the Utah Frontier Observatory for Research in Geothermal Energy (FORGE) site, which is the key site for geothermal testing funded by the US Department of Energy (DOE). But unlike Mitchell, the path to commercial success will require Fervo and others to show they can create large operations to convert the heat they harvest into a cost-competitive commodity in a fast-changing, highly competitive industry. Sage Geosystems recently was added to the short list of geothermal startups with big projects, signing a deal with Meta to build a 150-MW plant somewhere east of the Rockies. Also high on the list is Eavor whose first commercial project will use its closed-loop heating technology for home heating and electric generation in Germany.

Barriers to integrated lean management-industry 4.0 technologies

Lean management is a well-known manufacturing and service supply chain management philosophy. The various industry 4.0 technologies have also received enough attention because of their capabilities and initiated a debate among practitioners and academicians on integrating both paradigms. Despite the potential benefits estimated in many research studies and reports, the implementation status could be more encouraging in organisations. Therefore, in this study, all potential barriers are identified and analysed. These barriers were identified from existing literature and finalised with the help of experts. Further, ‘Interpretive Structure Modeling (ISM)’ was used to reveal their contextual relationship. Finally, the ‘Analytic Network Process (ANP)’ ranked the key barriers based on their importance. The results revealed that ‘lack of skilled and experienced workers’ and ‘lack of government policies’ are the most critical barriers. Based on the study’s outcomes, policymakers could make a more effective strategy to address these critical barriers. Additionally, organizations can adapt the proposed hybrid approach to address the barriers more effectively.

Capacity management under uncertain demand and distribution policies: the case of Indian vaccine supply chain

The present study investigates the cause-and-effect relationships between production capacity decisions and the choice of distribution policy aspects of managing an extensive vaccination programme. The Indian COVID-19 vaccine supply chain is taken as a case study, and Indian demographic data is utilised. A Monte Carlo Markov Chain (MCMC) model is developed to estimate time period-wise demand corresponding to each distribution policy. Furthermore, eight different capacity management models involving different capacity addition and transfer strategies for four different distribution policies are formulated. The trade-off between effectiveness and efficiency objectives, namely Vaccine Supply Chain total cost and service level, is investigated by comparing the Pareto frontiers of the proposed models. Furthermore, the models are compared based on capacity transfer cost, capacity addition cost, and variation in region-wise service level. The results reveal that organisations can simultaneously save significant costs and achieve higher service levels if they cautiously align their capacity management approach and the distribution policy on the demand front. Capacity management interventions at the national level result in more service levels and lower variation and costs than at the regional level.

The integration of sustainability into the service supply chain: towards a research agenda

ABSTRACT The objective of this study is to conduct a comprehensive review of the existing academic literature on the intersection between sustainability and service supply chain (SSC) in order to investigate the implementation mechanism of sustainable service supply chain (SSSC). A systematic literature review methodology is adopted to comprehensively analyze papers related to SSSC. This study thoroughly examines the integration of sustainability into two types of supply chains (SC): product/service SC and service-only SC. It identifies the antecedents, outcomes, enablers, and barriers of SSSC practices. Drawing from thematic findings, this review constructs a conceptual framework that elucidates the interrelationships among various themes to enhance understanding of SSSC. Additionally, it highlights gaps in existing literature and provides recommendations for future research directions, thus fostering comprehensive advancements in the field of SSC.

Green Service Supply Chain Management (GSSCM) Mediates the Relationship between Management Information Systems (MIS) and Organizational Performance (OP) for Enhancing the Community Health

Green Service Supply Chain Management (GSSCM) Mediates the Relationship between Management Information Systems (MIS) and Organizational Performance (OP) for Enhancing the Community Health

MCDM-AHP and ELECTRE collaboration apps for the best vendor selection technique

Vendor selection techniques are very important to maintain supply chain services, optimal service creates strong consistency in maintaining the continuity of supply chain business processes. The aim of this research is to provide an objective and consistent understanding of the best techniques in vendor selection which are implemented openly through the collaboration of multi-criteria decision making-analytic hierarchy process (MCDM-AHP) and ELECTRE. Empirical studies show how this approach is able to provide optimal decision-making support for the vendor selection process. Eight criteria are required which have contradictory meanings in their apps. These criteria include quality of goods (QG), payment methods (PMs), payment terms (PTs), minimum transactions (MTs), discounts (DS), delivery times (DTs), inventory (IN), and service (SV). The comparison importance value of the criteria is used as a measure of weighting the criteria through two testing approaches, namely mathematical algebra matrices and expert choice apps, through accurately assessing the optimal eigenvector from the two test approaches. Decision making support was carried out by comparison using 342 preference matrices which were developed into concordance and discordance matrices, the elimination process with threshold matrices found that the ranking results of four vendors were ranked first as worthy of being a selection priority and fifteen other vendors were ranked below.

Preface to the Special Issue “Mathematical Modelling and Optimization of Service Supply Chain”

In recent years, as the world economy has grown, increasingly, service-oriented systems play a more significant role in the supply chain [...]

Financing equilibrium in an after-sales service supply chain

Financing equilibrium in an after-sales service supply chain

Supply Chain Service Quality and Customers Satisfaction in Nigerian Airports

The study examined supply chain service quality and customers’ satisfaction in Nigerian Airports: a case study of Calabar Airport. The specific objectives are to examine the relationship between supply chain service quality reliability, service quality responsiveness, service quality tangibility, service quality empathy, service quality assurance and customer satisfaction in Nigerian Airport. Survey design was employed in the study. Data information for this research work was collected from primary sources. The study employed correlation coefficient analysis to measure the degree of relationship between variables tested in the study. The major findings of the study revealed that a significant relationship exists between supply chain service quality reliability, service quality responsiveness, service quality tangibility, service quality empathy, service quality assurance and customer satisfaction. The study recommended that supply chain managers in Nigerian air ports should adopt the dimensions of supply chain service quality discussed in the current article to provide effective customer service that addresses the needs and requirements of customers in Nigerian airports. Management of Nigerian airports should be prudent in monitoring and encouraging the activities that create customer satisfaction.

Improving service supply chain performance with the Supply Chain Operations Reference (SCOR) approach; Case study: Indonesia government testing laboratory

Improving service supply chain performance with the Supply Chain Operations Reference (SCOR) approach; Case study: Indonesia government testing laboratory

Optimal decision-making and coordination of the shipping logistics service supply chain cooperation mode under the carbon quota and trading mechanism

Carbon cap-and-trade policy based on market mechanism becomes an important means to restrain shipping logistics enterprises' carbon emission reduction. This paper studies the new requirements of shipping enterprises under the pressure of carbon emission reduction. Considering the logistics service supply chain composed of two competing providers and one integrator under the constraint of carbon cap-and-trade policy, this paper explores the optimal pricing and revenue decision of shipping logistics service supply chain through vertical cooperation, horizontal cooperation between providers and revenue sharing cooperation among integrators. This paper obtains feedback strategies under different cooperation modes by constructing a game model. In the vertical game, the shipping logistics supplier is the Stackelberg leader, and the shipping logistics integrator is the follower; there is a Nash equilibrium in the emission reduction decisions among suppliers in the horizontal game. On this basis, the results of different cooperation modes are compared, and the influence of competitive strategies on the optimal results is discussed. We found that the vertical cooperation of the shipping logistics service supply chain has a higher carbon emission reduction rate and a lower sales price, and the horizontal cooperation of shipping logistics suppliers can improve their own profits but reduce the income of the shipping logistics integrators and consumer welfare. When the revenue sharing contract provides the shipping logistics integrator with a share proportion in a certain range, the revenue sharing contract can generate higher supply chain profits than the integration of two chains, which can urge shipping logistics suppliers to forfeit the horizontal cooperation and help the shipping logistics service supply chain achieve win-win results.