International Journal of Supply Chain Management最新文献

{"title":"Investigating the Effects of Sustainability Initiatives on Supply Chain Resilience and Performance in Indonesia","authors":"Ahmad Basuki","doi":"10.47604/ijscm.2321","DOIUrl":"https://doi.org/10.47604/ijscm.2321","url":null,"abstract":"Abstract \u0000Purpose: The aim of the study was to investigating the effects of sustainability initiatives on supply chain resilience and performance \u0000Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. \u0000Findings: The investigation into sustainability initiatives' effects on supply chain resilience and performance revealed significant benefits. Companies that integrated sustainable practices into their supply chain operations experienced improved resilience against disruptions, such as natural disasters or supply chain disruptions. Additionally, these initiatives often led to enhanced operational performance, including cost savings, efficiency improvements, and better relationships with stakeholders. Overall, the findings suggest that integrating sustainability into supply chain management can contribute positively to both resilience and performance outcomes. \u0000Unique Contribution to Theory, Practice and Policy: Resource-based view (RBV) theory, institutional theory & contingency theory may be used to anchor future studies on investigating the effects of sustainability initiatives on supply chain resilience and performance. Practitioners should prioritize the implementation of integrated sustainability strategies that align with organizational goals and supply chain objectives. Policymakers play a critical role in creating an enabling environment for sustainable supply chain management practices.","PeriodicalId":512018,"journal":{"name":"International Journal of Supply Chain Management","volume":"10 21","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139957795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Supply Chain Visibility and Performance of Food and Beverage Manufacturing Firms in Kenya","authors":"David Mulweye, N. Shale, Eric Namusonge, E. Wachiuri","doi":"10.47604/ijscm.2324","DOIUrl":"https://doi.org/10.47604/ijscm.2324","url":null,"abstract":"Purpose: The purpose of the study was to evaluate the effect of supply chain visibility on the performance of food and beverage manufacturing firms in Kenya and to find out the moderating effect of supply chain technology on the performance of food and beverage manufacturing firms in Kenya. \u0000Methodology: The exploratory research design was used in the study which utilized both qualitative and quantitative data. All 270 food and beverage manufacturing firms in Kenya registered by Kenya Association of Manufacturers (2022) were considered using the census approach. Target population for the research was one participant from logistics, supply chain or operations department at each of the registered food and beverage manufacturing firms. Primary and secondary data was used, the primary data was collected using semi structured questionnaire that was administered by the researcher and research assistants. Samples of the questionnaire were pilot tested to test the reliability and validity before full scale data collection. The data was analyzed using the Statistical Package for Social Sciences (SPSS) version 26 software. Quantitative data was analyzed using descriptive statistics while the inferential analysis was further carried out using structural equation modelling, ANOVA and regression coefficients to give effect of the explanatory variable. \u0000Findings: The study found out that supply chain visibility significantly influenced the performance of food and beverage manufacturing firms in Kenya at both when there was a moderator and without a moderating variable, supply chain technology. In the first model without moderator, it recorded a standardized estimate of 0.538 (p<0.000), indicating that as supply chain visibility increases, performance of food and beverage manufacturing firms also increases. Fit indices on structural equation modelling revealed a marginal fit with a chi-square test of 211.322 with 86 degrees of freedom  (P-value =0.0492). The structural path for structural equation modelling from supply chain visibility to supply chain performance remains positive and significant. Standardized estimate of 1.347 and p-value was 0.001<0.05. Which indicates that the variability of supply chain visibility on the performance of food and beverage manufacturing firms could be explained by 53.8% when no moderator is included and increased to 134.7% when ,moderator, supply chain technology is incorporated thereby indicating a stronger relationship. The other fit indices that gave a satisfactory model fit when the moderator supply chain technology was used are RMR=.9196, GFI=.9263, NFI= .9473, RMSEA=.0184 and CFI=.9369 which implies that the model was fit to determine the relationship between supply chain visibility and performance of food and beverage manufacturing firms in Kenya and therein make conclusions and recommendations. ANOVA, regression coefficient and model summary (R2) were also used and indicated significance for there use with all recording","PeriodicalId":512018,"journal":{"name":"International Journal of Supply Chain Management","volume":"11 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140442929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of Blockchain Technology on Supply Chain Management Efficiency and Transparency in Pakistan","authors":"Imran Huzaifa","doi":"10.47604/ijscm.2320","DOIUrl":"https://doi.org/10.47604/ijscm.2320","url":null,"abstract":"  \u0000Abstract \u0000Purpose: The aim of the study was to influence the impact of blockchain technology on supply chain management efficiency and transparency \u0000Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. \u0000Findings: A study on the impact of blockchain technology on supply chain management in Pakistan revealed significant improvements in efficiency and transparency. Through blockchain integration, supply chain processes experienced reduced delays and increased automation, leading to streamlined operations. Transparency was notably enhanced, with real-time tracking of goods and secure data sharing among stakeholders, mitigating risks of fraud and error. These findings suggest that adopting blockchain technology holds promise for enhancing supply chain management in Pakistan by fostering greater efficiency and transparency. \u0000Unique Contribution to Theory, Practice and Policy: Diffusion of innovations theory, information processing theory & resource dependency theory may be used to anchor future studies on the impact of block chain technology on supply chain management efficiency and transparency. Encourage supply chain stakeholders to adopt blockchain solutions for enhanced transparency, traceability, and efficiency. Advocate for regulatory frameworks that promote the adoption of blockchain technology in supply chains while addressing concerns related to data privacy, interoperability, and standardization. \u0000 ","PeriodicalId":512018,"journal":{"name":"International Journal of Supply Chain Management","volume":"7 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140445609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analyzing the Role of Artificial Intelligence and Machine Learning in Optimizing Supply Chain Processes in Kenya","authors":"Jackson Mwangi","doi":"10.47604/ijscm.2322","DOIUrl":"https://doi.org/10.47604/ijscm.2322","url":null,"abstract":"Purpose: The aim of the study was to analyze the role of artificial intelligence and machine learning in optimizing supply chain processes \u0000Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. \u0000Findings: Artificial intelligence (AI) and machine learning (ML) play a pivotal role in optimizing supply chain processes by enhancing demand forecasting accuracy through sophisticated algorithms. They streamline inventory management by predicting demand patterns and automating replenishment tasks, leading to reduced stockouts and excess inventory. AI-powered analytics enable real-time insights into supply chain performance, identifying bottlenecks and inefficiencies for proactive decision-making. \u0000Unique Contribution to Theory, Practice and Policy: Theory of technology acceptance model (TAM), resource-based view (RBV) theory & dynamic capabilities theory may be used to anchor future studies on analyzing the role of artificial intelligence and machine learning in optimizing supply chain processes. Encourage supply chain stakeholders to adopt blockchain solutions for enhanced transparency, traceability, and efficiency. Advocate for regulatory frameworks that promote the adoption of blockchain technology in supply chains while addressing concerns related to data privacy, interoperability, and standardization.","PeriodicalId":512018,"journal":{"name":"International Journal of Supply Chain Management","volume":"14 32","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140442770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Nexus between Supplier Selection Practices and Procurement Function Performance: A Kenyan Public Universities Perspective","authors":"F. Musyoka, Gregory Namusonge, Enock G. Musau","doi":"10.47604/ijscm.2315","DOIUrl":"https://doi.org/10.47604/ijscm.2315","url":null,"abstract":"Purpose: This study aimed to unveil how supplier assessment and governance influenced procurement function performance. \u0000Methodology: The study employed a post-positivist research philosophy and a causal-comparative design. The study used multi-stage sampling to arrive at the sample of respondents of 93 procurement officers. Quantitative data was collected through self-designed structured questionnaires and analyzed using Statistical Packages for Social Sciences (SPSS version 27). Demographically, the study included predominantly experienced, educated male and female professionals. \u0000Findings: The findings of the study revealed that supplier selection significantly and positively impacted procurement function performance. Specifically, supplier assessment exhibited a noteworthy positive effect on procurement function performance (β = .517, p < .001), underlining the critical role of due diligence, evaluations, and appraisals among suppliers. Similarly, supplier governance demonstrated a substantial positive effect on procurement function performance (β = .310, p = .001), highlighting the significant roles of supplier selection transparency and conflict resolution mechanisms in procurement processes. \u0000Unique Contribution to Theory, Practice and Policy: This study unveiled how supplier assessment and governance influenced procurement function performance anchored in the Resource Dependence Theory (RDT), The study's results confirmed that robust supplier selection practices, grounded in supplier assessment and governance, significantly improved procurement function performance in Kenyan public universities. Strengthening supplier assessment protocols and governance mechanisms emerged as imperative for optimizing outcomes in procurement functions.","PeriodicalId":512018,"journal":{"name":"International Journal of Supply Chain Management","volume":"117 35","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139785135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Nexus between Supplier Selection Practices and Procurement Function Performance: A Kenyan Public Universities Perspective","authors":"F. Musyoka, Gregory Namusonge, Enock G. Musau","doi":"10.47604/ijscm.2315","DOIUrl":"https://doi.org/10.47604/ijscm.2315","url":null,"abstract":"Purpose: This study aimed to unveil how supplier assessment and governance influenced procurement function performance. \u0000Methodology: The study employed a post-positivist research philosophy and a causal-comparative design. The study used multi-stage sampling to arrive at the sample of respondents of 93 procurement officers. Quantitative data was collected through self-designed structured questionnaires and analyzed using Statistical Packages for Social Sciences (SPSS version 27). Demographically, the study included predominantly experienced, educated male and female professionals. \u0000Findings: The findings of the study revealed that supplier selection significantly and positively impacted procurement function performance. Specifically, supplier assessment exhibited a noteworthy positive effect on procurement function performance (β = .517, p < .001), underlining the critical role of due diligence, evaluations, and appraisals among suppliers. Similarly, supplier governance demonstrated a substantial positive effect on procurement function performance (β = .310, p = .001), highlighting the significant roles of supplier selection transparency and conflict resolution mechanisms in procurement processes. \u0000Unique Contribution to Theory, Practice and Policy: This study unveiled how supplier assessment and governance influenced procurement function performance anchored in the Resource Dependence Theory (RDT), The study's results confirmed that robust supplier selection practices, grounded in supplier assessment and governance, significantly improved procurement function performance in Kenyan public universities. Strengthening supplier assessment protocols and governance mechanisms emerged as imperative for optimizing outcomes in procurement functions.","PeriodicalId":512018,"journal":{"name":"International Journal of Supply Chain Management","volume":"47 45","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139844968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}