Supply Chain Information Research Articles

Aplikasi Pendeteksi Kematangan Tanaman Menggunakan Metode Transformasi Ruang Warna HSI (Hue, Saturation, Intensity) dan K-NN (K- Nearest Neighbor)

Tomatoes and chili peppers are essential commodities in the agricultural and food industry, playing a crucial role in nutritional diversity and flavor in human diets. Identifying the ripeness of these fruits is a critical step in the food supply chain, yet it is often done manually by directly observing the ripeness of chilies and tomatoes, which is time-consuming and susceptible to observer subjectivity. Therefore, a system that can identify the ripeness of tomatoes and chili peppers is needed. This system implements the HSI color space extraction method and the K-NN method. K-NN can classify plants based on colors extracted using the HSI color space, which includes three dimensions: Hue (H), Saturation (S), and Intensity (I). The research results in a model from the tomato and chili pepper dataset with an accuracy of 92% and a data split ratio of 80%:20%. This model is implemented in web and mobile formats, expected to efficiently and accurately identify the ripeness of tomatoes and chili peppers. This can help farmers determine the optimal harvest time, improve agricultural production and quality, and provide more reliable information in the food supply chain

Information communication technology and supply chain efficiency in manufacturing SMES in Bulawayo Province in Zimbabwe

Abstract There has been a global plummeting trend of failure in most manufacturing Small and Medium Enterprises (SMEs) due to purported supply chain inefficiency. It is imperative for clothing manufacturing SMEs in developing nations like Zimbabwe, with reference to Bulawayo Province, which lacks digitization to integrate Information and Communication Technology (ICT) solutions into their supply chain operations to improving efficiency and maintain competitiveness in the global market. Thus, the purpose of the study was to evaluate ICT and supply chain efficiency in the clothing manufacturing SMEs in Bulawayo Province. Employing the pragmatic approach, data were collected using semi-structured questionnaires from a sample of 107 from a total population of 147 that were triangulated with 15 interviews from clothing manufacturing SMEs in Bulawayo. A simple linear regression analysis through Ordinary Least Squares was conducted to test the relationship between ICT and supply chain efficiency. The results show that ICT has a positive and statistically significant effect on cost performance, agility and delivery performance in Bulawayo clothing manufacturing SMEs. By prioritizing ICT adoption, managers can achieve better cost management, increased responsiveness to market demands, and enhanced delivery capabilities. It is recommended that clothing manufacturing SMEs in Bulawayo should embrace the ICT. Further studies should examine the relationship between ICT and supply chain efficiency in manufacturing SMEs across different industries and nations.

Organisational culture and institutionalisation of green supply chain management

The international community faces numerous sustainability challenges. In response, firms tackle these difficulties by adopting and implementing Green Supply Chain Management (GSCM) techniques. However, there has been minimal discourse in the literature concerning the institutionalisation of GSCM. This study aimed to enhance our understanding of the institutionalisation of Green Supply Chain Management, specifically concerning South African cement businesses. The study specifically examines institutionalisation from the standpoint of organisational culture. In addition to examining existing literature, the researcher intentionally selected 23 supply chain practitioners from six prominent cement companies, environmental law officials, and academics to provide their insights and perspectives on the influence of organisational culture in institutionalising Green Supply Chain Management (GSCM) within the cement industry. Thematic analysis was employed to examine primary data. The study findings indicated that the organisational culture obstructing the institutionalisation of Green Supply Chain Management (GSCM) factors comprised resistance to green policy implementation, insufficient top management support, and misalignment between green strategy and corporate goals. Conversely, the organisational culture promoting GSCM institutionalisation included human development and investment, effective communication, incentives, and a strong green culture as primary drivers. The study will inform supply chain professionals, cement company managers, environmental regulatory agencies, and NGOs about the significant influence of organisational culture on the institutionalisation of Green Supply Chain Management (GSCM). The influence of culture on the institutionalisation of Green Supply Chain Management (GSCM).

Exploring the role of managerial green commitment in enhancing sustainability in Congo's cobalt supply chain

The Congolese cobalt industry is pivotal to the global mineral economy, yet it faces mounting sustainability challenges amid increasing demand. This study addresses a critical research gap by investigating the role of Managerial Green Commitment (MGC) in enhancing Sustainable Supply Chain Performance (SSCP). Utilizing Structural Equation Modeling (SEM) and data from 159 managers, we explore the mediating roles of Supply Chain Management Practices (SCMP) and Information Systems (IS). The findings show that MGC significantly enhances SSCP both directly (β = 0.53, p < 0.01) and indirectly through SCMP (β = 0.46, p < 0.05) and IS (β = 0.42, p < 0.05). Specifically, the results show that effective supply chain management practices (β = 0.61, p < 0.01) and the integration of advanced information systems (β = 0.60, p < 0.01) are crucial for leveraging managerial green commitment to achieve sustainable performance. The study offers actionable insights for industry leaders and policymakers, highlighting the necessity of integrating green initiatives at the organizational level to achieve sustainable performance in the cobalt supply chain. These insights are crucial for strategic planning and policy formulation to improve sustainability in the mineral industries.

Supplier Carbon Management and Firm Idiosyncratic Risk: Empirical Evidence From China

ABSTRACTAlthough existing research emphasizes the importance of internal carbon management (CM) in influencing firm risk, the impact of external stakeholder CM on firm risk remains unclear. This study employs signaling theory to explore how supplier CM affects firm idiosyncratic risk (IR), alongside the moderating roles of the supply chain information environment and the criticality of firm–supplier relationships. The findings of this study demonstrate that supplier CM can reduce firm IR. The risk reduction effect is strong when the information environment between a firm and its suppliers is rich and when the dependency between the firm and its supplier is strong. Path analysis reveals that supplier CM primarily reduces firm IR by alleviating information asymmetry. Moreover, the risk reduction effect increases for firms with small sizes. This research extends the application of signaling theory to supply chain research and bridges the gap between the CM and firm IR literature within the context of supply chain management.

Building sustainable supply chains: Role of supply chain flexibility in leveraging information system flexibility and supply chain capabilities

In today's interconnected and intricate global environment, achieving sustainable supply chain performance is paramount for organizations. Within this context, the flexibility of information systems as dynamic capability, is a driving force behind effective supply chain management. In addition, there are a multitude of compliances that supply chains have to comply with in order to achieve sustainable outcomes. Against this background we examine how information systems flexibility, knowledge capabilities, supply chain capabilities and supply chain flexibility contributes towards sustainable performance of the supply chains. Using the lenses of Dynamic Capability View (DCV), this paper explores relationships among these constructs using Partial least Squares-Structural Equation Modeling (PLS-SEM). 321 tire industry professionals participated in the survey and provided their feedback. The findings underscore the fact that information system flexibility significantly enhances knowledge and supply chain capabilities, which subsequently facilitate flexibility in supply chains. The results of this study also established the significant influence of supply chain flexibility on sustainable supply chain performance, emphasizes the need to have flexibility in supply chain to achieve sustainability goals. This research provides an important input into academic debates on sustainable supply chain management, as it sheds light on the role of information system to improve Supply chain flexibility and sustainability.

Intelligent management and legal regulation of enterprise green supply chain by fuzzy comprehensive evaluation

This study aims to evaluate the risk levels of intelligent management in Green Supply Chain Management (GSCM) through the application of the Fuzzy Comprehensive Evaluation (FCE) model. It begins by outlining the structure of the green supply chain (GSC), encompassing various components such as suppliers, manufacturers, and distributors, while incorporating considerations of environmental and sustainability factors. Data is collected from Company Y through a questionnaire survey, and the FCE model is employed to assess the risk levels of intelligent management within GSCM. The study identifies that Company Y faces high-risk factors in supply chain management, including customer demand fluctuations, inadequate supplier capacity, and reliance on exclusive suppliers, with a risk rating of 4. Additionally, moderate-risk factors, such as partnerships, policies, cash flow, technological capabilities, and internal production management, were rated at a risk level of 3. Based on the risk assessment results, the study proposes several recommendations for improvement. These include reinforcing the enforcement of environmental policies, establishing mechanisms for supply chain information transparency, and promoting clean production technologies. These recommendations are intended to assist the company in better adhering to environmental regulations and fostering sustainable supply chain development. The study's innovation lies in the successful integration of the FCE model into the supply chain risk assessment framework, effectively combining subjective evaluations with objective data to improve the accuracy of the assessment. The findings provide scientific evidence for companies to manage risks and formulate strategies, while also offering new insights into the multidimensional nature of supply chain risks, encompassing social, economic, environmental, and technological dimensions.

Research on Collaborative Strategy of Supply Chain Management under the Background of NIKE Mass Customization

Abstract: With the continuous advancement of technology and the popularization of the Internet, consumers' demand for personalized products is increasingly high. Traditional production modes have been unable to meet consumers' demands for product uniqueness and personalized experiences, which requires manufacturing enterprises to shift towards mass customization modes with unique advantages in production efficiency and cost control. Taking Nike as an example, this paper analyzes its supply chain problems based on its financial report. It then explores Nike's mass customization process using C2M and 3D printing, as well as information collaboration methods in the supply chain. Additionally, the paper analyzes AR-based virtual fitting technology and evaluates Nike's internal matrix organizational structure for customization and collaboration. From the perspectives of Nike's technology level and internal organizational structure, this paper analyzes the supply chain management and information collaboration process in its mass customization process, aiming to provide references for related manufacturing industries in enterprise operation and technology application during the mass customization process.

Global Supply Chain Information Sharing Platforms: Challenges, Opportunities, and Trends

With the deepening process of globalization, the rapid development of information technology and the diversification of logistics methods, supply chain management faces increasingly complex challenges. This study explores the future development trends, challenges and opportunities of information sharing platforms in global supply chains. In global supply chains, information sharing platforms are of great significance. It facilitates real-time data exchange and collaboration among supply chain segments and help improve supply chain transparency, flexibility and efficiency. However, global supply chain information sharing faces many challenges, including problems in information security, technical standards, cultural differences, and laws and regulations. In response to these challenges, this paper proposes future directions for developing a global supply chain information sharing platform, including digitization, automation, cross-platform cross-border collaboration, data security and privacy protection, application of new technologies, and flexibility and adaptability. This study provides useful insights and guidance for future global supply chain management by exploring the global supply chain information sharing platform.

Information sharing's impact on supply chain management, logistics, and organizational performance

This study investigates the relationships between supply chain management (SCM), logistics capability, information sharing, and organisational performance. Data was collected from 120 respondents in [industry/sector] using a quantitative research approach. The results of the analysis indicate that SCM, logistics capability, and information sharing are all positively and significantly related to organisational performance. Effective SCM practices, including integration, collaboration, and strategic planning, are essential for driving organisational success. Logistics capability, including delivery speed, dependability, and flexibility, is crucial in improving customer satisfaction and overall efficiency. Information sharing is a critical enabler of effective SCM and organisational performance, fostering collaboration, decision-making, and innovation. The study also found that demographic factors (gender, age, education) had limited impact on the relationships between the constructs. This suggests that the findings are generally applicable across different demographic segments. Overall, this study's findings highlight the importance of effective SCM, logistics capability, and information sharing as key drivers of organisational performance. Organisations prioritising these factors are more likely to achieve sustainable success in today's competitive business environment.

Achieving supply chain sustainability: enhancing supply chain resilience, organizational performance, innovation and information sharing: empirical evidence from Chinese SMEs

PurposeThis study aimed to explore the relationship between supply chain resilience (SCR) and organizational performance (OP), with innovation (INN) serving as a mediator and information sharing (IS) acting as a moderator.Design/methodology/approachThe study comprehensively examined the connections between SCR, OP, INN and IS. An exploratory approach and quantitative methods were employed. The data were collected from small and medium-sized manufacturing enterprises of three cities Xian, Hainan and Guangzhou of China via online questionnaire surveys conducted through Emails and WeChat. SmartPLS-4 was used for data analysis.FindingsThe findings indicated that SCR has a positive effect on sustainability efforts. Additionally, INN and effective IS both mediated and moderated this relationship, playing crucial roles in improving sustainability within the supply chain.Practical implicationsThe study offered practical insights for businesses to enhance their sustainability efforts. Managers can use these findings to develop strategies that improve SCR, foster INN and encourage effective IS, ultimately resulting in a more sustainable supply chain.Originality/valueThis study enriched the existing knowledge base by investigating the intricate relationships among SCR, OP, INN and IS, all within the context of achieving sustainability. By exploring these elements holistically, the research introduced originality and highlighted effective strategies for sustainable supply chain management.

Effects of External Adoption of E-Procurement on Financial Performance in Pakistan’s Manufacturing Sector

Purpose: This study examines the effects of external adoption of E-procurement on firms’ performance Design/Methodology/Approach: collected data from supply chain professionals in the manufacturing companies, the study employs a mixed-methods approach using both self-administered and online surveys. A questionnaire used for data collection, and Partial Least Squares Structural Equation Modeling (PLS-SEM) was employed for data analysis through SmartPLS 3.2.9. Findings: The results reveal that while external adoption of e-procurement negatively influences financial performance, however it positively impacts information transparency and supply chain integration. Financial performance is not directly increased by Information transparency, though it fosters supply chain integration. Supply chain integration, in turn, positively contributes to financial performance. Moreover, when mediated with supply chain integration external adoption of e-procurement increases financial performance. Furthermore, a sequential mediation effect is observed, where both information transparency and supply chain integration mediate between e-procurement adoption and financial performance. Implications/Originality/Value: These results offer significant theoretical and practical implications for enhancing supply chain strategies in emerging markets. The study concludes by providing recommendations for future research directions, particularly about digital procurement systems.

Research Progress of Machine Learning in Extending and Regulating the Shelf Life of Fruits and Vegetables.

Fruits and vegetables are valued for their flavor and high nutritional content, but their perishability and seasonality present challenges for storage and marketing. To address these, it is essential to accurately monitor their quality and predict shelf life. Unlike traditional methods, machine learning efficiently handles large datasets, identifies complex patterns, and builds predictive models to estimate food shelf life. These models can be continuously refined with new data, improving accuracy and robustness over time. This article discusses key machine learning methods for predicting shelf life and quality control of fruits and vegetables, with a focus on storage conditions, physicochemical properties, and non-destructive testing. It emphasizes advances such as dataset expansion, model optimization, multi-model fusion, and integration of deep learning and non-destructive testing. These developments aim to reduce resource waste, provide theoretical basis and technical guidance for the formation of modern intelligent agricultural supply chains, promote sustainable green development of the food industry, and foster interdisciplinary integration in the field of artificial intelligence.

Impact assessment of blockchain-based improved PBFT consensus mechanism for improving supply chain efficiency and security

In modern supply chain management, it is crucial to be able to track the flow of goods in real-time and maintain data integrity. Research focuses on the transparency, security, and efficiency improvements brought about by blockchain technology, and how these improvements can help address information asymmetry issues in supply chain management and improve overall operational efficiency. At the same time, the study explored the working principle of the practical Byzantine fault-tolerant consensus mechanism, proposed relevant improvement measures, and analyzed how these improvements can be effectively applied in the scenario of supply chain information sharing to improve the stability and efficiency of the overall system. The research results show that the overall latency of improved PBFT is maintained at the millisecond level, while the latency of traditional PBFT can reach several seconds or exceed 10 seconds. In terms of CPU resource consumption, the demand for improving PBFT only shows linear growth, while the demand for traditional PBFT increases sharply. In addition, improving PBFT also has significant advantages in communication costs. In an 8-node network, the communication volume of improved PBFT is only 11.27 KB, while traditional PBFT is 43.67 KB. In terms of throughput and latency performance, the improved PBFT can handle over 16000 requests per second in a 16 node network, significantly better than the traditional PBFT’s approximately 8000 requests. Meanwhile, at 64 nodes, the improved version has a latency of 301.7 milliseconds, much lower than the traditional version’s 510.2 milliseconds. These improvements demonstrate the advantages of improving PBFT in enhancing supply chain transparency, security, and efficiency, providing effective technical support for the digitization and intelligence of supply chain management. We hope that research can promote the digitization and intelligence of supply chain management, and facilitate the efficient operation and optimization of the supply chain.

Does supply chain transparency affect corporate cleaner production? A study based on the risk spill-over perspective

Taking the Chinese A-share listed companies from 2010 to 2021 as the research sample, this article empirically tests the influence and mechanism of supply chain transparency on enterprise behaviour from the perspective of enterprise cleaner production. First, supply chain transparency has a significant governance effect on enterprise cleaner production. Second, compared with enterprises in high-concentration markets and eastern regions, this governance effect is more significant in low-concentration markets and central and western regions of China. Through the mechanism research, it is found that supply chain transparency can improve the level of enterprise cleaner production through the path of risk spill-over. Finally, the enterprises with weaker dialogue rights in supply chain information disclosure have a stronger governance effect, and this disclosure method has an alternative governance effect on enterprise green information disclosure. This study not only helps to enrich the research on the internal mechanism of enterprise cleaner production from the perspective of supply chain transparency but also guides the information disclosure system to promote enterprise cleaner production.

중소 수출 제조기업의 빅데이터 분석 역량이 공급망 회복탄력성과 공급망 성과에 미치는 영향에 관한 연구 - 기계/장비 산업을 중심으로

As the economic environment of the global market is rapidly changing, uncertainty is increasing, and technological innovation, as well as financial and human resources, are becoming important factors. In particular, small and medium-sized export manufacturing companies are building global supply chains to improve their competitive advantage, and big data analytics capabilities to collect and analyze manufacturing and import/export information have been raised as a way to solve these risks. Therefore, this study analyzed the influence of big data analytics capabilities on supply chain performance through logistics flexibility and supply chain resilience in the supply chain formation of small and medium-sized export manufacturing firms. The survey was distributed to small and medium-sized export manufacturing companies from January 3, 2024, to March 31, 2024, through face-to-face, email, mail, and fax, focusing on the list of member companies provided by the Korea International Trade Association, the Ministry of SMEs and Startups, the Smart Manufacturing Innovation Association, and the SME Technology Information Promotion Agency. More than 2,000 copies were distributed and 215 copies (21.5%) were collected, and 203 copies of the questionnaire were constructed after removing 12 non-response questionnaires. Based on the collected questionnaires, the analysis was conducted using SPSS Ver. 28.0 and the extension program Process Macro Ver. 4.2. The results of the empirical analysis of this study are as follows. First, big data analytics capabilities have a positive impact on supply chain performance. Second. big data analytics capabilities have a positive effect on supply chain performance through the mediation of logistics flexibility. Third, big data analytics capabilities have a positive effect on supply chain performance through the mediation of supply chain resilience. Fourth, big data analytics capabilities have a positive effect on supply chain performance through the dual media.

Digital Transformation Strategies and Practices for Corporates

Under the wave of global digital transformation, enterprises are facing great challenges and opportunities. Digital transformation is not only a technological innovation, but also an all-round upgrade of business model and organizational structure. This thesis studies the core value of enterprise digital transformation and redefines the connotation of digital transformation. It analyzes the reasons for enterprise digital transformation and points out the core strategy and path of enterprise digital transformation. Taking the automobile manufacturing industry as an example to analyze the practice and thinking of the digital transformation process, it is concluded that digital transformation also helps multi-factory collaboration, supply chain information opening, global transparent management, cost reduction, improving the order delivery satisfaction rate, and supporting the complex production requirements and diversified production modes. However, digital transformation also faces challenges such as data security, technology risks, and organizational changes. Enterprises need to strengthen security measures and build a digital ecosystem to adapt to the development needs of the digital economy and achieve sustainable development.

Moderating Effect of Supply Chain Pillars on the Relationship between Supply Chain Integration and Retail Outlet Performance: An Analysis of Selected Supermarkets in Kenya

In the recent past, the retail sector landscape in Kenya has witnessed considerable supply chain disruptions and even closure of some of the giant local and international retail chains. The main purpose of the study was to establish the moderating effect of supply chain Pillars on the relationship between supply chain integration and retail outlet performance. The study adopted a cross-sectional survey design with a target population of 2654 staff drawn from Naivas, Quickmart, Chandarana, and Carrefour supermarkets across the four cities in Kenya. The study used closed-ended structured questionnaires to collect primary data. The data was analyzed using logistic regression. The study was conducted between the years 2022 and 2024. The study reported a significant moderating effect of supply chain pillars on the relationship between supply chain integration and retail outlet performance (Est. = 0.986022; p≤0.01). Supply Chain Incentive Alignment (SCIA), with an estimate of 1.3888321 (p≤0.01), had the highest contribution to increasing retail outlet performance, followed by Supply Chain Decision Synchronization (SCDS) with an estimate of 1.290342 (p≤0.01) and lastly, Supply Chain Information Sharing (SCIS) with an estimate of 0.874501 (p≤0.05). The study concluded that the efforts invested in supply chain integration practices, including information sharing, decision synchronization, and incentive alignment, are crucial for improving service delivery, customer satisfaction, and profitability in retail outlets.

Business analytics affordances for supply chain value creation: A technology-organization-environment perspective

Despite the potential of business analytics (BA) in supply chains, many firms struggle to effectively integrate and leverage BA in their supply chains, leading to underutilized data and missed opportunities for optimization. Therefore, this study utilizes an affordance perspective to study the actualization of BA affordances within supply chains. We conduct a multiple case study analysis, interviewing 28 individuals across nine companies. Our investigation uncovers a hierarchy of intertwined affordances facilitating supply chain information management, cooperation, and customer-focused solutions. Significantly, we highlight the unique influence of technology, organization, and environmental (TOE) factors in shaping affordance actualization. As a result, we argue against generic prescriptions for BA affordance actualization, instead promoting a more tailored approach informed by specific TOE factors tied to each individual supply chain. Our work advances technology affordance research by explaining affordance actualization within supply chains and highlighting the dynamic interplay between TOE factors and BA affordance actualization. Subsequently, our research offers a nuanced understanding of BA implementation, demonstrating how tailored BA strategies can enhance supply chain optimization, cooperation, and customer-centric solutions, ultimately driving value creation for supply chains.

Interest effect of international outsourcing, foreign investment, and welfare

AbstractThis paper investigates the welfare ramifications of international outsourcing in the presence of foreign investment initiated by outsourcing‐induced interest effect. Utilizing the Heckscher‐Ohlin model of general equilibrium, we show that unlike the common view that outsourcing renders negative effects on domestic employment, but positive effect on the welfare, (a) the output and employment effects of outsourcing are ultra‐biased such that it always increases (decreases) those of the outsourcing (nonoutsourcing) sector; (b) the effects of outsourcing on factor‐intensities and factor‐prices depend on the factor intensity ranking such that outsourcing occurring in the capital‐intensive (labor‐intensive) sector lowers (raises) the capital‐labor ratio of both the outsourcing and the nonoutsourcing sectors, lowers (raises) the real wage rate and raises (lowers) the real interest rate, and hence worsens (improves) income distribution; (c) in the presence of foreign investment, outsourcing in the capital‐intensive (labor‐intensive) sector may be welfare‐reducing (is always welfare‐increasing) due to increase (decrease) in the outsourcing‐induced interest payments for the foreign capital stock. Noting that international outsourcing nowadays serves as a key driving force for production fragmentation and supply chain formation, this paper discovers an important, but previously unnoticed feature in international outsourcing, namely, the outsourcing‐induced an interest rate effect on foreign capital movement.