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International Journal of Supply Chain Management
Published by ExcelingTech
ISSN : 20513771     EISSN : 20507399     DOI : -
International Journal of Supply Chain Management (IJSCM) is a peer-reviewed indexed journal, ISSN: 2050-7399 (Online), 2051-3771 (Print), that publishes original, high quality, supply chain management empirical research that will have a significant impact on SCM theory and practice. Manuscripts accepted for publication in IJSCM must have clear implications for Supply chain managers based on one or more of a variety of rigorous research methodologies. IJSCM also publishes insightful meta-analyses of the SCM literature, conceptual/theoretical studies with clear implications for practice, comments on past articles, studies concerning the SCM field itself, and other such matters relevant to SCM.
Arjuna Subject : -
Articles 2,561 Documents
Applications of Geographic Information Systems (GIS) in Supply Chain Management: Systematic Literature Review Anastasia Tsakiridi
International Journal of Supply Chain Management Vol 10, No 5 (2021): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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Abstract

   To date, the knowledge regarding the potential uses of Geographic Information Systems (GIS) in Supply Chain Management (SCM) and how the GIS applications can deliver business benefits is limited. To explore the current uses of GIS in SCM, a systematic literature review (SLR) was conducted. Three databases (Web of Science, ProQuest and Business Source Premier) were explored, using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology. There were 79 papers included in the literature review. The combined findings showed that the GIS applications in SCM were a) network/ transportation analysis/ routing algorithms (53 papers), b) Location-Allocation Site Search/ Selection (using multiple-criteria decision analysis [MCDA]) (45 papers), c) spatial analysis (people or land) (34 papers), d) connection with optimisation tools (32 papers) and e) visualisation/ monitoring or Building Information Modelling (BIM) (8 papers). The industries and related Supply Chain (SC) domains that used GIS were a) Biomass Biofuel/Wood (33), b) Logistics (22), c) Humanitarian/ Emergency/ Healthcare (10), d) Food/ Agro-Industry (5), e) Petroleum/ Coal/ Shale Gas (3), f) Faecal Sludge (2), g) Recycle product footprint (2) and h) Construction (2). Moreover, the research case studies took place in 26 countries, and the most prominent GIS software provider was Esri’s ArcGIS. The findings suggested that GIS can significantly contribute to SCM decision making by providing answers to cost minimisation, supplier selection, facility location, SC network configuration and asset management.
Synthesis conceptual framework of Supply Chain Business Intelligence for Educational Management in Thai Higher Education Institutions Artaphon Chansamut
International Journal of Supply Chain Management Vol 10, No 5 (2021): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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Abstract

This objective of paper were  to synthesis and evaluate a conceptual framework of  Supply Chain business intelligence for educational management in Thai higher education institutions. The research methodology consists of Review documentation and literature, Create preliminary conceptual framework, Propose   conceptual framework, Analyze the output data .The samples are fiveteen experts selected by purposive sampling. The data is analysed by means and standardized deviations . The results of synthesis conceptual framework of supply chain Business Intelligence for Educational Management in Thai Higher Education Institutions find that, It were five components: main component and Minor ingredients namely Suppliers, University manufacture, Customers and  Consumer.A conceptual framework of assessment system  using Back-Box technique. The overall evaluation result synthesis conceptual framework of supply chain Business Intelligence for Educational Management in Thai Higher Education Institutions, shows the overall rating mean of 3.58  suggesting that The framework aims to support sustainable  business intelligence development.
Social Media in Building Relationships Between Companies and Representatives of Generation Z in the CRM Concept Anna Korombel; Olga Lawinska
International Journal of Supply Chain Management Vol 10, No 5 (2021): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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Abstract

Building social media relationships with Generation Z members is a huge challenge for today’s enterprises, not only because they are the least studied generation, but also because they represent different values than those of the previous generations. It is important that both sides of the relationship – the customer and the entrepreneur – are on social media at the same time and in the same place. This would enable communication and relationship building. The aim of the paper was to identify social networking portals, which are most often used by the representatives of Generation Z as an element of building relationships with companies. The study of Generation Z attitudes towards brands on social media is part of broader research conducted by the authors among students in Poland and Great Britain in 2020. The method used in the study was a survey, as part of which the CATI surveying technique was used. For analysis of the study material, descriptive statistics measures were used. Analysis of the collected empirical data provided the basis for verifying the research hypotheses. The findings show which social networking portals are most often used by respondents of Generation Z in customer-company relationships. Additionally, the strength of the relationships between the analysed variables and the respondent's gender and place of residence was verified.
The Influence of Communication in the Buyer-Supplier Integration on Procurement Performance of Large Manufacturing Firms in Tanzania Kimario, Honest Fidelis; Mwagike, Leonada R
International Journal of Supply Chain Management Vol 10, No 5 (2021): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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Abstract

Despite the efficacious communication evident in the buyer-supplier relationship, material procurement performance in large manufacturing firms of Tanzania remains a challenge. The Resources Dependency and Transaction Cost Economics Theories were used in this study to analyze the influence of Early Supplier Involvement in design specification, electronic information sharing, communication direction, and frequency of buyer-supplier meetings,(all considered key in enhancing communication in the buyer-supplier relationship), on procurement performance. 52 large manufacturing firms in Temeke Municipality were approached through a census to inform the study. From each firm, one procurement and one store manager were purposively sampled, totaling to 104 respondents. Data was obtained through questionnaires and analyzed using the Binary logistic regression. This study was supplemented by qualitative opinions since communication in the buyer-supplier relationship is a strategic aspect. The study revealed that poor procurement performance is attributed to lack of Early Supplier Involvement and limited electronic information sharing. It was recommended as per findings that with the assistance of the government, a framework should be developed and adopted by manufacturing firms so as to address procurement performance drawbacks. Future studies should grasp the mediating role of third-party logistics on the influence of communication in the buyer-supplier relationship on procurement performance of large manufacturing firms in Tanzania.
Efficient Consumer Response in Fast Food Supply Chain Management of Hamburgers for Compliance, Health and Marketability John Jeyasingam Thambirajah
International Journal of Supply Chain Management Vol 10, No 5 (2021): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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Abstract

Foods of animal origin are a good source of high quality protein. However, determining fat content in hamburgers is important in order to minimize the adverse effects on health. Cardiovascular disease and obesity are known to be caused by high consumption of saturated fatty acids and cholesterol. Efficient consumer response in fast food Supply chain management is a strategy designed to make fast food industry more efficient, safe and responsive to the consumer’s needs.  This study conducted confidence interval estimation to assess variation in the fat content of hamburger samples from a restaurant, using Minitab. The standard for mean fat content was set at 15 grams with a standard deviation of 1 gram. In this study twenty samples were selected at random and statistical process control was determined by the individual moving range (I-MR) test. The I-MR chart conducted on twenty individual hamburger samples showed that the fat content was in statistical process control. A graphical summary was conducted to check for normality by the Anderson-Darling test and 95% confidence interval of the mean and standard deviation were determined.  The p-value for Anderson-Darling was not significant indicating that the samples were normally distributed. The mean read at 16.48 grams with a standard deviation of 2.09. The confidence interval for the mean registered between 15.50 to 17.46 grams. A variance test was carried out to determine a less than 1 gram variation in the samples. The upper bound was detected in a Chi square test at 8.24. A confidence interval estimation for population proportion showed 0.16 for the upper bound. An automatic oil dispensing machine was installed to standardize the oil applied for frying each hamburger. Another 20 samples were taken and were found to be in statistical process control by the I-MR test. A graph summary report indicated a mean of 14.92 grams and standard deviation of 0.49 grams. The Anderson-Darling test was not significant at p-value of 0.924.Thus confirming a normal distribution. The 95% confidence interval now registered at 14.69 to 15.15, which was close to the expected value of 15 grams. A survey conducted on 100 and 350 customers selected at random, before and after the installation of the automatic oil dispensing machine showed that there were now less dissatisfied customers. A simulation test carried out with twenty samples of 10 subgroups each showed that the process was in control in an X-bar S-chart. An interval plot conducted using a simple multiple Ys chart showed that all the samples were within the 95% confidence interval for the mean indicated by the reference line. A process capability analysis conducted before and after the installation of the automatic oil dispensing machine indicated that the process could be improved further.  Key words: Fat content, hamburgers, confidence interval, variation, statistical process control
Supply Chain Business Intelligence Model for Quality Assurance in Educational Management for ASEAN University Network Quality Assurance Chansamut, Artaphon
International Journal of Supply Chain Management Vol 10, No 5 (2021): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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Abstract

This research was conducted to study and develop supply chain business intelligence model for quality assurance in educational management  for ASEAN University Network Quality Assurance (AUN-QA).The objective of this study  were  to study and evaluate supply chain business intelligence model for quality assurance in educational management  for ASEAN University Network Quality Assurance (AUN-QA). The research methodology consists of study, analyze, and synthesize the contents, develop a proces supply chain business intelligence model for quality assurance in educational management  for ASEAN University Network Quality Assurance (AUN-QA), present the constructed model, conclude the results and analyse the model’s results evaluation by using mean and standard and deviation .The fiveteen experts selected by purposive sampling. The data were analyzed by standard deviations and means.  The model development process has  five components: main component and Minor ingredients namely Suppliers, University manufacture, Customers and  Consumer. This model helps  to support sustainable business intelligence development As, the overall model was shown at a very good level, the experts agreed.
Digital Supply Chain System Model for Quality Assurance in Educational Management in Higher Education According to ASEAN University Network Quality Assurance Artaphon Chansamut
International Journal of Supply Chain Management Vol 11, No 1 (2022): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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Abstract

The purposes of this research study were design and to evaluate digital supply chain system model for quality assurance in educational management in higher education according to asean university network  quality assurance   private universities.The research procedures were divided into  three  part. The first part was study the related document, The second part was design digital supply chain system model for quality assurance in educational management in higher education according to asean university network  quality assurance   private universities. and the three part was to  evaluate digital supply chain system model.The sample group in this study consisted of fifteen  experts consisted five experts on supply chain , five experts on information technology and five experts on curriculum and instruction. The research findings show that digital supply chain system model for quality assurance in educational management in higher education according to asean university network  quality assurance   private universities comprises seven main components, namely, main components,  suppliers , university  ,finished product ,customers  ,satisfaction and Return. Evaluation results by the 15 experts show the evaluation rating mean of 3.69 with standard deviation of 0.73  that mean digital supply chain system model for quality assurance in educational management in higher education according to asean university network  quality assurance   private universities is appropriate at the high level and can be appropriately applied in actual work settings
Supply Chain Performance Measurement Models: A Comparative Study Saleheen, Ferdoush; Habib, Md Mamun
International Journal of Supply Chain Management Vol 11, No 1 (2022): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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The study investigated supply chain performance measurement models based on the primary and the secondary data and the justification of this paper is to evaluate the literature on performance measurement of the supply chain to capture current practices, distinguish gaps and advocate future research prospects used through a comparative study of different supply chain models. As of today, the measurement of supply chain performance is dependent on the Balanced Scorecard (BSC) and the Supply Chain Operations Reference (SCOR) model which requires the adaptation of a holistic approach such as the application of sustainability, and resilient supply chain considering the constant change of the business dynamics. As a result, many manufacturing companies failed to attain a precise performance measurement evaluation due to a lack of an Integrated Supply Chain Performance Measurement (ISCPM) model and knowledge in the manufacturing industry. This study illustrates the Integrated Supply Chain Performance Measurement (ISCPM) model and makes a comprehensive comparison with the BSC and the SCOR model. ISCPM model has been developed through the supply chain performance attributes and performance measurement index in the outlook of input-process-output considering the BSC and the SCOR model at three decisions levels with an application of quantitative techniques to bring synergic effect to all stakeholder issues and incorporates ten supply chain performance measurement attributes and 36 performance measurement indexes as supplier relationship management (SRM), internal supply chain management (ISCM), and customer relationship management (CRM).
Accessibility and Reliability of Expert Evidence in Civil Environmental Cases in Indonesia and Netherland: A Preliminary Survey Cecep Aminudin; Efa Laela Fakhriah
International Journal of Supply Chain Management Vol 11, No 1 (2022): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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Expert evidence has a role in assisting the court to understand the scientific aspect of environmental cases. This paper describes as a preliminary survey on the existing rules and judicial practice on expert evidence in Indonesia and Netherland from the perspective of accessibility and reliability. Accessibility issue connected with expert appointment, fees and immunity. While reliability issue related with the expert appointment, qualification, objectivity, impartiality and report quality. Both jurisdictions regulates expert evidence in its civil procedural law with different level of elaboration in term of expert appointment and its subsequent rules such as expert report, procedure for investigation, compensation and honorarium, impartiality and objectivity assurance which could predispose the court settlement of environmental cases in practice. For historical reason, the rule on court appointed expert and party expert in the Dutch civil procedural law and its development could be learned for future development of Indonesia civil procedural law and specific guideline such as for environmental cases in view of fairness in truth seeking in adjudication.
The Conceptual Framework of Digital Supply Chain for Research Management in Higher Education Institutions Artaphon Chansamut
International Journal of Supply Chain Management Vol 11, No 1 (2022): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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Abstract

The research aimed is to find and to evaluate the conceptual framework of supply chain in digital for research management in higher education institute. The research sample totaling ten experts consisted of ten experts consisted of five experts on supply chain , two experts on information technology and three experts on eeducational research and evaluation. The employed research instrument is a questionnaire.  Statistics employed for data analysis are mean and standard deviation. The research found that the conceptual framework of supply chain in digital for research management in higher education institute comprising of seven principal components,  namely ,main element,suppliers , university  ,customers ,consumers ,satisfaction and feedback. The results from experts agreement the conceptual framework of supply chain in digital for research management in higher education institute. was a high level. (=3.65,S.D.= 0.82), that mean the conceptual framework to may be applies in support the tasks.

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