Showing papers in "International Journal of Information Systems and Supply Chain Management in 2022"

Logistic Management in the Supply Chain Market Using Bio-Inspired Models With IoT Assistance

Abstract: The internet of things (IoT) is a modern generation of internet-associated embedded information and communication technology in an online environment to incorporate logistics and supply chain processes seamlessly. Automation in inventory monitoring, product control, storage, customer relationships, fleet tracking, etc. is a common issue faced by firms suggesting alternatives to the various problems. In this study, IoT-assisted bio-inspired framework (IoT-BIF) has been proposed for effective logistics management and supply chain processes. IoT with bio-inspired model sensors can track products via different supply chain units to address under-stocking and over-stocking issues. This modern technology allows the connection of numerous objects by gathering real-time data and sharing it; the resulting data can help automated decision-making in industries. The experimental results show that the proposed IoT-BIF method reduces the cost, memory utilization, average running time compared to other popular methods.

Ambidextrous Learning in Buyer-Supplier Relationships: The Role of Strategic and Operational Information Sharing

Abstract: Achieving competitive advantage in a dynamic environment requires firms to exploit their current capabilities and explore new opportunities through innovation. Organizational learning theory refers to these two types of focused learning activities as exploitation and exploration, and jointly as ambidextrous learning. Suppliers can play an important role in the learning process. This research focuses on the role of strategic and operational information sharing between buyers and suppliers in promoting ambidextrous learning. Based on a survey of supply chain managers in U.S. manufacturing firms, the findings indicate that sharing operational information promotes exploitative performance, while sharing strategic information promotes exploratory performance. Both exploitative and exploratory performance improvements positively relate to the buyer’s financial performance, but these relationships are moderated by the buyer’s product innovation strategy. Exploratory performance is particularly important for firms pursuing a high innovation strategy to maximize financial performance.

Information Management in the Logistics and Distribution Sector Using Metaheuristic Techniques

Abstract: Information systems (IS) influence logistic and distribution management on sourcing, planning, delivery, and levels ranging from strategic operations to organizational strategy. Information management is a challenging task in logistics and distribution across the business. The supply chain has been increasingly accepted as a significant aid to cut costs and boost services. This paper proposes meta-heuristic techniques (MHT) for effective information management in logistics and distribution, from manufacturers to customers, security, a significant focus on collaboration of operations, co-operation, communication, and knowledge exchange across the supply chain. Modern organizations need advanced decision support systems focused on operative statistical modeling and solution methods and information and communication technology developments to adapt to the integration challenge. It suggests that metaheuristics can play an essential role in addressing complex logistical challenges from logistic architecture and management within the supply chain.

Empirical Investigation to Assess the Impact of ICT Deployment in SCM Using SEM

Abstract: The adoption of Information & Communication Technology (ICT) is becoming increasingly ubiquitous and it is prominent in Supply Chain too. The objective of this paper is to perform an empirical investigation to assess the impact of ICT in Supply Chain Management (SCM) using Structural Equation Modeling (SEM). A Survey questionnaire was administered and collected from 200+ SCM professionals in sectors such as manufacturing, services, MSMEs, international companies as well as SCM/ERP professionals working as domain experts in IT and service companies. Confirmatory Factor Analysis was used to validate the suggested empirical model & hypothesis based on the impact of ICT deployment on SCOR Level I metrics/indicators as constructs. This research appends to the literature on supply chain performance measures and addresses a recognized gap in terms of rubrics, constructs, assessment frameworks and metrics of these ICT benefits and capabilities in SCM. This framework can be used by any enterprise irrespective of the geography or country, vertical or domain, manufacturing or services.

Exploring Attractive Quality Requirements for Short Food Supply Chain Digital Platforms

Abstract: Perceptions towards unsustainable supply chain practices in global, mainstream food systems are motivating a shift towards short food supply chains. Short food supply chains are developed to remove the physical and social distances between producer and consumer. Advances in digital technologies offer promise for short food supply chains, including platforms that can enable real-time data flow, create visibility, and support sustainable practices. This research aims to prioritise attractive quality requirements of short food supply chain digital platforms. The methodology consists of a literature review and Kano analysis for requirements prioritisation. The results show that the requirements span across the four Kano categories, attractive quality encompassing the largest number of requirements. The attractive quality requirements identified offer increased levels of satisfaction when present and have limited negative impact when missing. Therefore, they are considered exciting for potential users of a system. The limitations of the research and areas of future work are presented.

The impact of digital twins on local industry symbiosis networks in light of the uncertainty caused by the public crisis

Abstract: Digital twins provide a solution for information-sharing between enterprises, thereby alleviating uncertainties in the supply chain. In light of the public crisis caused by COVID-19, the authors suggest a signal game model for a two-stage supply chain with two suppliers and two manufacturers. Based on the model, the impact of the digital twin platform on the profits of the local industrial symbiosis network is analyzed. The results show that the uncertainty of supply and demand caused by the public crisis has led to fluctuations in profits and profit volatility. Under this influence, suppliers are willing to participate in information sharing on the digital twin platform, but manufacturers are less willing to participate. Moreover, application of the digital twin platform in information sharing is conducive to maintaining and promoting the smooth operation of the industrial chain under these conditions of uncertainty. Copyright © 2022, IGI Global.

COVID-19: The Black Swan for Green Supply Chain Management in Pakistan

Abstract: For the last few decades, the business practices have primarily been focusing on the green and sustainable practices that mainly focus on the preservation of the environment and correspond to corporate social responsibility. But the sudden outbreak of the COVID-19 pandemic has left unprecedented effects on the business world. Against this backdrop, the current study entails investigation of the antecedents and consequences of green supply chain management in the post-COVID-19 era. The term black swan stands true for the event. The term could be believed to be accurate as all aspects of the supply chain have been observed to be influenced by the swan (customers with panic/regulated buying, suppliers with hoarding, inventories witnessing bullwhip effects). The current study, therefore, offers a novel explanation by linking various actors of green supply chain management and how the interplay of those actors can influence the supply chain and overall firm performance post COVID-19.

Supply Chain Efficiency and Effectiveness Management: Decision Support Systems

Abstract: The optimal productivity model plays a significant role in various supply chain management (SCM) decision support systems. Therefore, the precision of the optimal productivity model is necessary to improve SCM's effectiveness. A factor often ignored is that transactions of certain goods are assembled within an enterprise as dynamic structures of various distribution ratios. Regardless of such structure, optimal model productivity is often produced; however, the productivity model's optimal precision can be enhanced by taking it into account. This focusses on strategic thinking and planning, where various process improvement mechanisms are developed. Therefore, in this study, data envelopment analysis (DEA) has been utilized to enhance supply chain efficiency and effectiveness management. This paper explores an optimal productivity model that evaluates the supply chain efficiency and effectiveness management. This paper discusses the policy preparation demands of the decision support systems and develops a framework that organisations can use to control the implementation process.

Swarm Intelligence Technique for Supply Chain Market in Logistic Analytics Management

Abstract: Supply chain management has become increasingly important as an academic subject due to globalization developments contributing to massive production-related benefits reallocation. The huge volume of data produced in the global economy means that new tools must be created to manage and evaluate the data and measure organizational performance worldwide. Smart technologies such as swarm intelligence and big data analytics can help get clear data of the location, condition, and environment of products and processes at any time, anywhere to make smart decisions and take corrective schedules that the supply chain can run more effectively. This study proposes the swarm intelligence modeling-based logistic analytics management (SIMLAM) in service supply chain market. A generalized structure for swarm intelligence implementation in supply chain management is suggested, which is advantageous to industry practitioners. Different deterministic methods practically fail due to the intrinsic computational complexity of the problem of higher dimensions.

Supply Chain Efficiency and Effectiveness Management Using Decision Support Systems

Abstract: The management of global supply chains that emerge from outsourcing and offshoring activities emphasizes a globally dispersed supply chain. All stakeholders and entrepreneurs worldwide have a common understanding of information technology's importance to support business activity in a rapidly changing era of customer preference. Today, many believe in a production process transition, which subsequently affects the supply chain flow in general, fearing overuse and inefficiency from upstream to downstream. Thus, this article proposes supply chain efficiency and effectiveness management using decision support systems (SCE2M-DSS). This conceptual framework uses an intelligent decision support system for the supply chain's proactive capacity planning under uncertain conditions. An intelligent decision-making support system is designed with reinforcement learning (RL) to validate the conceptual framework. The application of decision-making methods developed initially focused on product development and service production.

Impact of Price-Sensitive Demand and Premium Payment Scheme on Bullwhip Effect

Abstract: Bullwhip effect reduces the efficiency, responsiveness, and value of the supply chain. There are some indirect causes like lead time, the number of echelons, and some direct causes of bullwhip effect such as rationing or price variation. Due to capacity constraints, retailers are forced to experience rationing of their demands. Fear of rationing usually gives rise to manipulable demand and hence increases the bullwhip effect. Moreover, if the retailer’s demand is price sensitive then it will cause price variation. The offerings of premium payment by retailers due to unfulfilled demand lure the supplier to extend his existing capacity and to allocate them more supply. In this paper, an attempt has been made to mitigate the impact of the bullwhip effect using a premium payment scheme. A technique has been coined that will help in reducing the bullwhip effect. The increased value of the supply chain on using a premium payment scheme is proof of the reduction of the bullwhip effect. Results are validated through numerical analysis.

Research on Logistic Warehouse Scheduling Management With IoT and Human-Machine Interface

Abstract: The automated deployment of the internet of things (IoT) and the human-machine interface provides the best advancement for dispersed warehouse scheduling management (WSM). In this paper, superior data systematic move toward warehouse scheduling management (WSM) has been suggested using the computational method to allow smart logistics. Furthermore, this paper introduces the human-machine interface framework (HMI) using IoT for collaborative warehouse order fulfillment. It consists of a layer of physical equipment, an ambient middleware network, a framework of multi-agents, and source planning. This approach is chosen to enhance the reaction capabilities of decentralized warehouse scheduling management in a dynamic environment. The simulation outcome has been performed, and the suggested method realizes a high product delivery ratio (96.5%), operational cost (94.9%), demand prediction ratio (96.5%), accuracy ratio (98.4%), and performance ratio (97.2%).

A Piecewise Objective Probabilistic Optimization Approach as Decision Making for Supplier Selection and Inventory Management With Price Discount

Abstract: A mathematical model in the form of a piecewise objective probabilistic optimization approach was proposed in this study as the new decision-making tool to solve supplier selection and inventory management problems. The focus was on price discount and uncertain parameters such as product demand, product defect rate, and late-delivery product rate, which were approached using random variables with some known probability distribution function. Meanwhile, the decision variables contained in the model include the product volume ordered by each supplier at each time for each product type and those stored in the inventory to minimize the total operational cost in the problem. The corresponding optimization problem was solved using a probabilistic programming algorithm via the LINGO optimization tool. The computational simulation showed the proposed model provided the optimal decision, and this means it can be used as a decision-making tool by industrial practitioners.

Institutional and Cultural Aspects of Logistic Management in the Chinese E-Commerce Sector

Abstract: Electronic business relies heatedly on a predictive tool to provide consumers with the products online in a brief moment. E-commerce activities are handled by many buyers globally compared to conventional distribution, and with a broader range of products but a limited amount. This article aims to help the information review systemically manage consumer relationships in institutional and cultural aspects of the logistic management (ICA-LM) model. In preparation for the ICA-LM to be adequate to discuss static and dynamic attributes for removing precious secret information, the neural network and the class label are integrated. In this way, real-life client needs are defined and potential clients listed with limited time to generate client relationship maintenance (CRM) feedback for clients. The research in Hong Kong, a transportation management firm prototype, shows and validates CRM information gathering in the developing e-commerce logistics sector in the actual world.

Who Should Open Offline Showrooms?: The Brand Owner or E-Tailer

Abstract: The consumption experience is taken seriously by consumers, and increasingly, firms open offline showrooms for this. Showrooms can help to resolve the uncertainty of consumer perceived value and brand preference in online shopping. This paper considers two kinds of showroom investment scenarios for a two-echelon supply chain consisting of a brand owner and e-tailer. The two scenarios are the brand owner opening showrooms (B) or e-tailer opening (E). the authors evaluate the impact of brand spillover, platform spillover, and offline experience spillover effects on the optimal choice to open showrooms. The results indicate that the conditions of brand owners opening showrooms for win-win are richer and more relaxed than the e-tailer. This requirement for spillovers reflects different motivations for opening showrooms. Moreover, regarding the inroad into showrooms, the brand owner and e-tailer should be cognizant of the trade-off between brand and platform spillover and willing to open showrooms in appropriate conditions.

AI-Assisted Dynamic Modelling for Data Management in a Distributed System

Abstract: There are many interdependent computers available in distributed networks. In such schemes, overall ownership costs comprise facilities, such as computers, controls, etc.; buying hardware; and running expenses such as wages, electrical charges, etc. Strom use is a large part of operating expenses. AI-assisted dynamic modelling for data management (AI-DM) framework is proposed. The high percentage of power use is connected explicitly to inadequate planning of energy. This research suggests creating a multi-objective method to plan the preparation of multi-criteria software solutions for distributed systems using the fuzzy TOPSIS tool as a comprehensive guide to multi-criteria management. The execution results demonstrate that this strategy could then sacrifice requirements by weight.

Inhibitors of Industry 4.0 and Circular Economy in Manufacturing Industry Supply Chains

Abstract: Circular economy (CE) and Industry 4.0 (I4.0) are clearly gaining popularity around the world because to their ability to integrate breakthrough technology with unique circular production and business models. This study conducted a systematic literature review, followed by expert intervention, to identify the 16 inhibitors hindering the implementation of a combination of CE practices and I4.0 technologies in the manufacturing industry supply chain. This paper has used ISM, Fuzzy MICMAC, and Fuzzy AHP approach to analyse the interrelationship among inhibitors and highlight the most critical of them. The findings of the paper suggest ‘missing competitive leadership and ‘lack of capital' are the most critical inhibitors, hindering the implementation of I4.0 and CE approach, depriving the manufacturing sector from enormous incentives. This one-of-a-kind original research paper is a holistic attempt to highlight the key elements of manufacturing and production supply chain. The results of the study will help the SCM companies to devise the strategies for achieving excellence.

Hospital Employee Performance Evaluation Based on Knowledge Map

Abstract: With the deepening of theoretical research and social practice, hospital employee performance management has developed into a mature knowledge system. Therefore, systematic review of the research results in this field is conducive to fully understand its research history, grasp the research hotspots and frontier issues, which is of great significance to theoretical innovation in the field of hospital employee performance evaluation.iteSpace 5.3.R4 was used as the visualization tool draw a knowledge map to systematically sort out the distribution of relevant literature of hospital employee performance evaluation, including time distribution, journal distribution, author distribution, etc., and conduct a systematic research on the research hotspots and research frontiers in the field of hospital employee performance evaluation, which provides a beneficial reference for the theoretical research and practical innovation of domestic hospital employee performance evaluation.

On the Service Transformation of Ningbo's Manufacturing Industry Considering the Potential of Ecological Benefits

Abstract: This paper puts forward the service transformation approach of Ningbo manufacturing industry considering the potential of ecological benefits. By analyzing the current situation of service-oriented development of Ningbo's manufacturing industry, this paper summarizes the problems encountered in the process of service-oriented transformation of Ningbo's manufacturing industry, introduces the concept of ecological benefit potential, combines the characteristics of service-oriented transformation of Ningbo's manufacturing industry, finds the path of service-oriented transformation of Ningbo's manufacturing industry, constructs a grey relational model, analyzes the coupling relationship between Ningbo's manufacturing industry and service industry, and completes an analysis of the ways of transformation of service of Ningbo's manufacturing industry. The simulation results show that the proposed transformation path method can improve the problems existing in the service transformation of Ningbo manufacturing industry.

Inventory Replenishment Policies for Two Successive Generations of Technology Products Under Permissible Delay in Payments

Abstract: In this age of digitalization, when every industry is undergoing technological disruption, there is a big role of digital gadgets and technology products. A key feature of these digital gadgets is the short length of the product life cycle, since the newer and more advanced generations of technologies are developed regularly to replace the earlier conventional technologies. The traditional EOQ models that assume a constant demand cannot be used here. This research paper formulates an inventory optimization model for the multi-generational products under the trade credits and the credit-linked and innovation diffusion dependent demand. The study also performs a numerical illustration of the proposed model, and establishes important dynamics among the key variables. It also performs the sensitivity analysis with the cost of credit and the trade credit period. The paper concludes with the managerial implications for the inventory practitioners and the possible areas of extension for this research in the future.