scholarly journals Constructing the best supply chain process model of logistics for Free Trade Port Zone

Author(s):  
Dingtao Zhao ◽  
Su-Hui Kuo ◽  
Tien-Chin Wang
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Joerg Leukel ◽  
Vijayan Sugumaran

PurposeProcess models specific to the supply chain domain are an important tool for the analysis of interorganizational interfaces and requirements of information technology (IT) systems supporting supply chain decision-making. The purpose of this study is to examine the effectiveness of supply chain process models for novice analysts in conveying domain semantics compared to alternative textual representations.Design/methodology/approachA laboratory experiment with graduate students as proxies for novice analysts was conducted. Participants were randomly assigned to either the diagram group, which worked with “thread diagrams” created from the modeling grammar “Supply Chain Operation Reference (SCOR) model”, or the text group, which worked with semantically equivalent textual representations. Domain understanding was measured using cognitively demanding information acquisition for two different domains.FindingsDiagram users were more accurate in identifying product-related information and organizing this information in a graph compared to those using the textual representation. The authors found considerable improvements in domain understanding, and using the diagrams was perceived as easy as using the texts.Originality/valueThe study's findings are unique in providing empirical evidence for supply chain process models being an effective representation for novice analysts. Such evidence is lacking in prior research because of the evaluation methods used, which are limited to scenario, case study and informed argument. This study adds the diagram user's perspective to that literature and provides a rigorous empirical evaluation by contrasting diagrammatic and textual representations.


Author(s):  
Ahmed Faek Elgendy

This study aims to investigate the nature of the relationship between Big Data Analysis as a mediator in Process Orientation (PO) and Information Systems Programming (ISP) to supply chains processes in Saudi Arabian industrial organizations. A stratified random sample of 357 managers and employees working in 37 industrial companies in Saudi Arabia was tested. The study relied on the descriptive and analytical research methodology. The results indicated that there is a significant indirect effect of Big Data Analysis (Planning, Procuring, Manufacturing, Delivering) as the mediator on Process Orientation and Information Systems Programming (ISP) and (PO) to improve supply chain process as well as organizational effectiveness. The researcher made a number of recommendations for the Saudi Arabian manufacturing firms to develop analytical capabilities in managers in order to utilize big data analysis as a tool to increase efficiency and effectiveness in the organizational system. A wide spread awareness program about the benefits to adopt big data analysis and management information systems may be adopted to ensure an efficient supply chain system.


2020 ◽  
Vol 8 (5) ◽  
pp. 1261-1265

Objective This research is to examine the supply chain management process carried out by fishermen in searching for fish in the Brondong archipelago - Lamongan East Java fishing port. In this study, researchers used a qualitative case study method with miles and hubberman analysis techniques (data reduction, data display and data verification). In this research, researchers look directly at the supply chain management process carried out there. In this study, researchers also examined the process that is adapted to Islamic Sharia, so that the supply chain process that is there can be said as a halal activity and also thayyiban. In accordance with the research objective, which is to examine halal supply chain management, researchers found that the process carried out by the fishermen who were there in carrying out their activities could be said to be halal and also tayiban


2011 ◽  
Vol 13 (4) ◽  
Author(s):  
Marcos Paulo Valadares de Oliveira ◽  
Kevin McCormack ◽  
Marcelo Bronzo Ladeira ◽  
Peter Trkman ◽  
Joachim Van den Bergh

2018 ◽  
Vol 11 (2) ◽  
pp. 141
Author(s):  
Rupesh Kumar ◽  
Surendra Kansara

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