scholarly journals Developing a Recommendation Model for the Smart Factory System

2021 ◽  
Vol 11 (18) ◽  
pp. 8606
Author(s):  
Chun-Yang Chang ◽  
Chun-Ai Tu ◽  
Wei-Luen Huang

In Industry 4.0, the concept of a Smart Factory heralds a new phase in manufacturing; the Smart Factory System (SFS) will have a huge demand in Taiwan. However, the cost of constructing a factory system will be high, and the complexity processes and introduction time must be considered. Thus, it is important to figure out how to grasp the key success factors for Smart Factories to reduce difficulties in the process, deal with the occurrence of problems, and improve the success rate of constructing Smart Factories. This research constructs an SFS recommendation model to make up for past research deficiencies in terms of recommendation. It combines the methodology of the Engel–Kollat–Blackwell Model (EKB Model) and the Modified Delphi Method to derive SFS recommendation indicators. Through analyzing weights, the ELECTRE II was used to obtain the importance of each dimension by calculating the Modified Compound Advantage Matrix. For prototype indicators, it reviewed the past literature to find out deficiencies and examined the world’s four largest manufactories or computer technology corporations to analyze their Smart Factory solutions regarding the SFS function characteristics. The survey ran for several rounds with a group of five experts to amend indicators until a consensus was obtained. It proposed 64 indicators of 8 primary dimensions in total, based on the Updated Information System Success Model, and then added the concepts of SFS Function characteristics, Information Security, Perceived Value, Perceived Risk, and UI Design. According to the indicators, the framework and prototype of this system will provide solutions and references for purchasing SFS, the functions of which include SFS purchase ability analysis, demand analysis of manufacture problems, and raking and scoring of recommendation indicators. It will provide real-time ranking and the best alternative recommendations to suppliers, and will not only be referred to for design and modification but also enable the requirements to be closer to the users’ demands.

2019 ◽  
Vol 85 (4) ◽  
pp. 799-818
Author(s):  
Deden Witarsyah Jacob ◽  
Mohd Farhan Md Fudzee ◽  
Mohamad Aizi Salamat ◽  
Tutut Herawan

E-government projects provide many advantages and offer benefits to governments and their citizens. Hence, the big issue and challenge for governments are how they can increase citizen adoption. This has resulted in the development of many e-government initiatives that aim to enhance the provision of public services to citizens and improve associations with industry and world business. It is shown that there are critical success factors and barriers in e-government adoption, and technology adoption more generally, which identifies the fact that current e-government adoption models do not adequately explain the needs of citizens. Based on the diagrammatic of a detailed structure of review methodology, existing studies show that national culture, trust, the information system success model, and knowledge services are very crucial issues for citizens regarding new system application in the successful uptake of e-government services. Therefore, this article presents a review of the generic end-user adoption of e-government services based on a theoretical perspective and the Unified Theory of Acceptance and Use Technology model. Furthermore, this article presents a conceptual model as a better foundation for the development of e-government. The findings of this article will contribute to the limited e-government adoption literature available by providing insights into end users’ perceptions of e-government services.


2016 ◽  
Vol 14 (3) ◽  
pp. 57-79 ◽  
Author(s):  
Padid Akbarzadeh Gharib

Based on previous studies a theoretical framework of the determinants of an individual's satisfaction using Personal Internet Banking services is formulated incorporating information system success factors complemented by elements of behavioral and environmental uncertainties (multidimensional trust and perceived risk). Data was collected using an online self-administered questionnaire from a sample of 370 users in Australia and analyzed in order to determine the relationships among factors that have significant causal effects on customer satisfaction. The results confirm the importance of some of the factors reported in previous studies but also reveal unreported significant direct and indirect causal effects on customer satisfaction. Practical conclusions provide new perspectives for Australian banks on keeping customers highly satisfied with online banking services, as the main objective of this study.


2020 ◽  
Vol 13 (1) ◽  
pp. 315
Author(s):  
Malte Schäfer ◽  
Manuel Löwer

With the intent of summing up the past research on ecodesign and making it more accessible, we gather findings from 106 existing review articles in this field. Five research questions on terminology, evolution, barriers and success factors, methods and tools, and synergies, guide the clustering of the resulting 608 statements extracted from the reference. The quantitative analysis reveals that the number of review articles has been increasing over time. Furthermore, most statements originate from Europe, are published in journals, and address barriers and success factors. For the qualitative analysis, the findings are grouped according to the research question they address. We find that several names for similar concepts exist, with ecodesign being the most popular one. It has evolved from “end-of-pipe” pollution prevention to a more systemic concept, and addresses the complete life cycle. Barriers and success factors extend beyond the product development team to management, customers, policymakers, and educators. The number of ecodesign methods and tools available to address them is large, and more reviewing, testing, validation, and categorization of the existing ones is necessary. Synergies between ecodesign and other research disciplines exist in theory, but require implementation and testing in practice.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Franciele Bonatto ◽  
Luis Mauricio Martins de Resende ◽  
Joseane Pontes

Purpose This paper aims to clarify ambiguous results from previous research on the relationship between contextual factors, trust and supply chain governance (SCG). Design/methodology/approach This study carried out a systematic literature review in 11 databases, with articles published until 2018. Afterward, this study conducted a thematic analysis in 60 articles to address the contextual factors, governance structures and trust approaches raised in previous research. Findings The thematic analysis revealed that seven contextual factors influence the choice of contractual and relational mechanisms in supply chains: relationship history, environmental uncertainty, perceived risk, perceived justice, asset specificity, power asymmetry and interdependence. The findings explained the ambiguous results of past research by proposing that contractual and relational governance are complementary and that the presence of trust (affective and competence-based) moderates the relationship between contextual factors and SCG. Originality/value This research advances the SCG literature by proposing trust (affective and competence-based) as a moderating variable that fosters governance mechanisms in supply chain relationships.


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