Supply Chain Information Systems Research Articles

Analysis of Supply Chain Information System Receiving with the Technology Acceptance Model

Supply chain management gets much convenience with developing information systems technology and information technology that occurs. A supply chain information system was been built to help supply chain actors in the apple agro-industry to collaborate. The application of an efficient and effective information system in the apple agro-industry supply chain is expected to improve the ability to share information between actors. The purpose of this study is to analyze the acceptance factors of information systems by the supply chain actors of the apple agro-industry. The research has been conducted at MSEs processed apples in the city of Batu, East Java, Indonesia. The Technology Acceptance Model has been used, with data collected from supply chain actors. The results have showed that the Perceived Ease of Use has an indirect effect on Actual System Usage. In contrast, the perceived usefulness has a positive direct impact on actual system usage.

Understanding Managers’ Reactions to Blockchain Technologies in the Supply Chain: The Reliable and Unbiased Software Agent

AbstractOrganizations investing in supply chain information systems struggle to ensure successful adoption and implementation. Projects fail because of technical caveats, inability to meet business needs, and poor management of implementation. Implementation of blockchain technologies across a network of supply chain partners is more complex than internally focused technologies. It is necessary for partner firms to implement, contribute, and share information, and employees to actively use the capabilities of the technology to realize potential. Blockchain technologies can substitute for traditional interfirm intermediaries acting as an unbiased software agent embedded in the supply chain network. Understanding managers’ perceptions of and willingness to use blockchain technologies is crucial for successful implementation. Integrating design theory with classic diffusion processes, we conducted a scenario‐based role‐playing experiment with industry professionals to examine managers’ perceptions of blockchain technologies and willingness to use. We find that trustworthiness with regard to competence and perceived distributive justice is the focal drivers of managers’ willingness to use the technology. Additionally, both risk and interactional justice are not drivers of willingness to use blockchain technology despite significant claims to that effect. We provide implications for how managers can leverage these drivers to influence supply chain partners’ willingness to use the technology.

Формирование модели оценки рисков при выборе иностранного поставщика по внешнеторговому контракту

Many businesses that work with a large number of product lines face the problem of choosing a supplier of goods or services. The problem of finding suppliers is faced by most businesses that do business and are looking for new ways to optimize costs. Enterprises need to periodically search for suppliers, and this is much more difficult for them due to lack of experience, especially in relations with foreign suppliers. Procurement planning is carried out by selecting suppliers who must meet previously established criteria set by the company’s standards and legislation. The search and analysis of suppliers should be carried out systematically using all possible sources of information. At the present stage, conservative methods of searching, analyzing and selecting suppliers are being improved and supplemented with new forms and methods, but none of the existing methods of selecting a supplier properly takes into account the current operating conditions. Therefore, supply chain management is particularly relevant and requires improvement. The article suggests a model that allows identifying potentially unscrupulous suppliers even before the contract is executed in the supply chain and using management. The article presents a block diagram of the supply chain risk management model. The model specifies a key condition aimed at combining the work of all departments in order to increase the transparency of procedures. At the same time, the model will reduce the risks of the supply chain and improve the process of making logistics decisions within 3 main blocks. Information about the entire lifecycle of equipment, media, and items is stored in the supply chain information system, reflecting the status and attributes of all aspects and providing a variety of data support for decision - making

The Interaction Effect of Strategic Information Systems on Performance of International Freight Forwarders: An Analysis of Gaps in Performance

This study will verify the direct effect of strategic application of information systems (IS) on firm performance of international freight forwarders through ascertaining three research objectives: the analyses of a causal link between IS and firm performance, an interaction effect between internal and external IS on firm performance, and gaps in firm performance among the stages of strategic application of IS. The data was collected from international freight forwarders. To achieve the objectives of this study, various analytical methods were used. The results of exploratory and confirmatory factor analyses are the basis of reliability and validity on the collected data. The results of structural equation modeling (SEM), moderated regression analysis (MRA), cluster analysis, analysis of variance (ANOVA) and post hoc analysis are the basis of testing the hypotheses. The results are as follows. First, strategic application of IS has a positive effect on firm performance. This means that international freight forwarders improve performance through strategic application of IS. Second, there is the interaction effect between internal and external IS on financial performance. This means that strategic application of internal and external IS is connected with financial performance. For this reason, there is a gap between IS investment and financial performance in the industry. However, the interaction has no effect on customer satisfaction. The reason is explained as passing over organizational and cultural factors which have an effect on the relationship between firms. Third, there are gaps in firm performance among the stages of strategic application of IS. The result shows that the stage of supply chain IS achieve the highest firm performance. The results mean that strategic application of IS has a direct influence on firm performance.

Intelligent Supply Chain Information System Based on Internet of Things Technology under Asymmetric Information

The hardware and software designed in the traditional supply chain system lack cooperation in the transmission process, have low efficiency, and lead to a large amount of information distortion.In response to this problem, this paper proposes an intelligent supply chain information system based on the Internet of Things technology. The research focuses on the hardware and software of the system. The hardware part consists of the embedded processor CS89712, Flash7861 memory, Ethernet, touch screen, and LCD (Liquid Crystal Display). The software system is based on asymmetric information theory design and is divided into signal acquisition, input signal detection, interference signal processing, and power signal output. The experimental results show that it is compared with the traditional supply chain information system. The designed system seamlessly integrates the hardware and software components to achieve maximum information supply in the shortest amount of time. The power supply capacity is four times that of the traditional system, and the node coverage is high. When the number of data nodes is 120, the traditional supply chain system is basically unable to supply, but the supply accuracy of the intelligent supply chain is still as high as 48%. The research in this paper has certain guiding significance for intelligent technology development, supply chain system design, and enterprise information exchange.

RETRACTED ARTICLE: Construction of fast retrieval model of e-commerce supply chain information system based on Bayesian network

Bayesian network is a kind of uncertainty knowledge expression and reasoning tool, and it is an effective means to solve problems in related fields such as information retrieval. Considering the characteristics of e-commerce supply chain supply information and Bayesian network, a cognitive big data analysis method for intelligent information system is designed. The model uses a set of information sample documents to describe the query requirements and the documents to be detected. By calculating the similarity between them, the return results of the general search engine are sorted, thereby retrieving the supply chain supply information required by the user. Through numerical results, the precision of the source information retrieval model based on Bayesian network is also significantly higher than that of the trust network model and the inference network model, and the experimental data shows that the Bayesian network model has better retrieval performance than the trust network model and the inference network model. Therefore, when conducting large-scale e-commerce supply chain supply information collection, Bayesian network-based source information retrieval model is effective.

Product and supply chain related data, processes and information systems for product portfolio management

Traditional product data management (PDM) systems have evolved to support the product lifecycle management (PLM). The combination, also referred to as PDM/PLM has developed into a product master data (PMD) repository. The PMD and business process related data are utilised in product portfolio management (PPM). However, companies' tendency to have productrelated data in silos among multiple business processes and information systems (IS) results in uncertain information for PPM. This study focuses on data, processes and information systems related to PMD and supply chain product data (SCPD), PPM and supply chain (SC) processes and information systems. The study highlights the related challenges in providing fact-based data for PPM analysis and decision-making. The results indicate that the key PMD and SCPD have not been connected back to PPM as automated and integrated data flow from enterprise resource planning (ERP) system to the PDM/PLM system. The key SCPD consists of product-related volume and cost information that should be linked to PPM analysis and decision making. These findings are critical to further develop data, processes and IS to support strategic and financial PPM analysis and decision making on what products a company should have in the portfolio.

Product and supply chain related data, processes and information systems for product portfolio management

Traditional product data management (PDM) systems have evolved to support the product lifecycle management (PLM). The combination, also referred to as PDM/PLM has developed into a product master data (PMD) repository. The PMD and business process related data are utilised in product portfolio management (PPM). However, companies' tendency to have productrelated data in silos among multiple business processes and information systems (IS) results in uncertain information for PPM. This study focuses on data, processes and information systems related to PMD and supply chain product data (SCPD), PPM and supply chain (SC) processes and information systems. The study highlights the related challenges in providing fact-based data for PPM analysis and decision-making. The results indicate that the key PMD and SCPD have not been connected back to PPM as automated and integrated data flow from enterprise resource planning (ERP) system to the PDM/PLM system. The key SCPD consists of product-related volume and cost information that should be linked to PPM analysis and decision making. These findings are critical to further develop data, processes and IS to support strategic and financial PPM analysis and decision making on what products a company should have in the portfolio.

The effect of supply chain information management and information system infrastructure

PurposeThe purpose of this paper is to explain the relationship between supply chain information management, supply chain information system (IS) infrastructure, supply chain integration and the manufacturing performance of firms in manufacturing industry in Malaysia. Therefore, the study addresses a gap in research concerning the effect of supply chain information practices toward manufacturing performance.Design/methodology/approachThe research design for this study employed the quantitative method using survey questionnaires that have been developed based on a thorough and detailed analysis of the relevant literature. Based on a sample consist of 248 usable data, mediated multiple regression analysis was used to examine the research model.FindingsThe findings indicate that supply chain integration fully mediates the relationship between supply chain information management and supply chain information system infrastructure (ISI) toward manufacturing performance.Research limitations/implicationsThis research is limited to a particular sample: i.e. electrical and electronics manufacturing firms in Peninsular Malaysia. Thus, the results need to be generalized to encompass wider samples.Practical implicationsOrganizations interest in making all members in their supply chain to communicate using information network to support managers in better decision making while adopting more enhanced information management and system infrastructure. As a plus, it helps in integrating various internal and external value chain processes across manufacturing firms in the organization’s supply chain network. As result, manufacturing firms could improve their performance in the long run.Originality/valueThe originality of this study lies in employing a newly developed framework-based existing theoretical argument to examine the effectiveness of supply chain information management and system infrastructure with an improved influence from supply chain integration toward the manufacturing performance.

Evaluating the key performance indicators for supply chain information system implementation using IPA model

PurposeTo enhance the transparency of the supply chain and ensure proper dissemination of information among the supply chain members in a timely manner, more and more companies are implementing supply chain information system (SCIS). Often the challenge among the organizations is how to go for a proper SCIS implementation and to identify the key performance indicators (KPIs) to evaluate the SCIS. The purpose of this paper is to provide a framework to evaluate the KPIs for SCIS of SCISs implementation from user’s perspectives.Design/methodology/approachIn this paper, 16 KPIs were identified based on extensive literature survey. A fuzzy analytic hierarchy process (AHP) model is constructed to measure the users’ perceived importance and satisfaction for the KPIs. Subsequently, based on these two measurements, an importance-performance analysis (IPA) model along with a customer satisfaction attitude (SA) index is developed to categorize and prioritize the KPIs. As an empirical study, SCIS users across five industries belonging to different sectors were investigated to validate the model.FindingsAn IPA model along with a customer SA index is developed based on a fuzzy AHP model to evaluate the KPIs and provide the priorities of their improvement. Based on this result, some management implications and suggestions are proposed.Research limitations/implicationsThe study was limited to five organizations. More representative samples which can be sector specific can ensure better confirmation of the empirical results.Originality/valueThe KPIs identified in the research indicate the nature and dynamics of a complex SCIS implementation. It can serve as a checklist of areas that require attention when implementing a SCIS. The KPIs are presented through grouping in a systemic way. The development of the SAs in IPA model using fuzzy AHP is a novel approach.

Analyzing the Risks in Supply Chain Information System Implementations

Organizations make considerable efforts when implementing Supply Chain Information systems (SCIS) to increase their competitiveness. This chapter attempts to identify the Risk Factors (RFs) in SCIS implementation and evaluate them. Sixteen risk factors were identified based on an extensive literature survey. A comprehensive framework is presented with three major phases to select an adequate SCIS. The risk assessment for SCIS implementation is then empirically investigated. The RFs are formulated as hierarchy structures and Fuzzy AHPs as a Multi Attribute Decision Making (MADM) tool applied to judge the viable candidates. Based on a fuzzy AHP approach, a revised risk matrix with a continuous scale is proposed to assess the RFs' classes. The result classifies the risk factors in different categories (Extreme, High, Medium and Low). The revised risk matrix with continuous scale for risk assessment in SCIS implementation is a novel approach.

RETRACTED ARTICLE: Research on agricultural products supply chain inspection system based on internet of things

In recent years, the problems of low degree of industrialization of agriculture, weak informatization ability and food safety have become increasingly serious. This article combines the detection of agricultural products supply chain and RFID technology and applies it to the testing of agricultural products supply chain. In this study, the agricultural product supply chain and agricultural product logistics information system were introduced. At the same time, the application of RFID technology in the production, processing and other aspects of the detection of agricultural products supply chain is elaborated, and the information system of RFID technology in the agricultural product supply chain is designed. Finally, the efficiency of RFID technology in the detection of agricultural products supply chain has been verified. Therefore, this technology is the future trend of agricultural logistics development, thereby promoting the development of agricultural products logistics supply chain testing.

“Actionable” critical success factors for supply chain information system implementations

Implementing a supply chain information system (SCIS) incurs organizational and technical complexities. For managing these complexities, information system researchers have identified generic critical success factors. However, CSFs are abstract and, therefore, difficult to use in practice. To maximize the chances of successfully implementing a SCIS in the food industry, we aim to identify “actions” linked to CSFs. We, consequently, investigated four German pork supply chains that implemented a SCIS. Fourteen critical success factors were made “actionable”; most actions were identified for the CSFs “manage change and deliver training” and “select standards, vendor, and software package”, indicating their relative importance.

A Virtual Supply Chain System for Improved Information Sharing and Decision Making

Integrated supply chain information systems (ISCIS) face various barriers including lack of alignment between IT and business model, security and privacy concerns, behavioral and cultural issues, and heterogeneous software applications. This paper develops an architecture for ISCIS and validate it by interviewing experts. The proposed architecture is an intermediary to integrate in-house information systems as well as cloud-based systems across distributed heterogeneous supply chain networks. The developed ISCIS architecture works in three layers of data, processes, and knowledge and facilitates the alignment of information systems and decision making with business.

Effect of Supply Chain Information Systems on Firm Performance: An Empirical Case Study

This study evaluates the effect of supply chain information systems on firm performance in IKAMCO as a empirical case study. For this purpose, The 132 IKAMCO employees selected by simple random sampling responded to a questionnaire. Content validity of the questionnaire has been confirmed by experts in this field; its reliability has been confirmed by using Cronbach's alpha and Fisher’s test. Kolmogorov-Smirnov test is used to ensure normality of the data obtained from questionnaire. The hypotheses are tested using SmartPLS software. Results show that the model is well fitted to the data. Findings show that a lean and agile supply chain is effective on supply chain performance and supply chain performance is effective on firm performance. Efficiency of information systems moderates the effect of lean supply chain on supply chain performance and firm performance. However, flexibility of information systems does not moderate the effect of agile supply chain on supply chain performance and firm performance.

Effect of Supply Chain Information Systems on Firm Performance: An Empirical Case Study

Effect of Supply Chain Information Systems on Firm Performance: An Empirical Case Study

The Future of Supply Chain Information Systems: The Open Source Ecosystem

The open source phenomenon has made a significant impression, not only on the software industry, but also on software-intensive organizations in both the public and private sectors. The collaborative model offered by the open source ecosystem can potentially change the collective nature of organizations and is claimed to increase innovation and technology adoption while reducing costs. These potential advantages are influencing how organizations acquire software and are leading to significant adoption of open source products across several domains. In fact, a recent Forrester Research report found that 78% of companies surveyed are running part or all of their operations on open source and 66% use open source to create software applications for their customers. Unfortunately, limited research exists regarding the implications and boundaries of open source technologies employed for supply chain management. For a firm to decide whether or not to pursue open source strategies, the field needs more research that helps us to understand how a firm’s use of open source information systems relate to flexibility, agility, operational performance, and the triple bottom line. In this brief thought piece, we describe the potential for open source software to change the nature of supply chain information systems.

The Impact of Internal Communication on improving Organizational Productivity

The present article examines the role of Internal Communication in stimulating the individual employee outcomes and Organizational outcomes in the era of Globalization. The study investigates the relationship between Internal communication and Organizational competitiveness. A sample of 150 respondents from Retail Industry in Visakhapatnam consisting of various Departments viz Logistics and Supply chain Management, Information systems, Accounting and Human Resource management are taken as respondents. A Hypothesis is formulated to examine the relationship between constructs of Internal communication and Organizational competitiveness. Exploratory Factor Analysis is conducted and Varimax Rotation is applied for all the items of variables. The statistical results conclude that Internal Communication plays a significant role in enhancing Organizational competitiveness.

A multi-agent based system with big data processing for enhanced supply chain agility

Purpose Decision support systems are becoming an indispensable tool for managing complex supply chains. The purpose of this paper is to develop a multi-agent-based supply chain management system that incorporates big data analytics that can exert autonomous corrective control actions. The effects of the system on supply chain agility are explored. Design/methodology/approach For the development of the architecture of the system, a sequential approach is adopted. First three fundamental dimensions of supply chain agility are identified – responsiveness, flexibility and speed. Then the organisational design of the system is developed. The roles for each of the agents within the framework are defined and the interactions among these agents are modelled. Findings Applications of the model are discussed, to show how the proposed model can potentially provide enhanced levels in each of the dimensions of supply chain agility. Research limitations/implications The study shows how the multi-agent systems can assist to overcome the trade-off between supply chain agility and complexity of global supply chains. It also opens up a new research agenda for incorporation of big data and semantic web applications for the design of supply chain information systems. Practical implications The proposed information system provides integrated capabilities for production, supply chain event and disruption risk management under a collaborative basis. Originality/value A novel aspect in the design of multi-agent systems is introduced for inter-organisational processes, which incorporates semantic web information and a big data ontology in the agent society.

Collaborative Information Research on Fresh Production under Supply Chain Environment

Through the analysis of collaborative development process of supply chain and information system, this dissertation analyses how to achieve the collaboration between fresh supply chain and efficient information system. Meanwhile, it puts forward the concept of collaborative management information system of supply chain. The paper introduces the construction scheme of the collaborative agricultural supply chain management information system. In the end, the paper makes five reasonable suggestions about material procurement, transportation, warehousing, and distribution and information system construction, which with respect to integrated supply information, supplier management and produce-marketing integration.