Structural Equation Modeling for Analysis of Factors Affecting the Cyber Resilience in Digital Supply Chain for Small and Medium-sized Enterprises

2020 ◽  
Vol 30 (3) ◽  
Author(s):  
Naris Uraipan ◽  
Tharinee Manisri ◽  
Prasong Praneetpolgrang
Keyword(s):  
Supply Chain ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Equation Modeling ◽  
Factors Affecting

scholarly journals Critical Barriers to Implementation of Reverse Logistics in the Manufacturing Industry: A Case Study of a Developing Country

2018 ◽  
Vol 10 (11) ◽  
pp. 4202 ◽  
Author(s):  
Muhammad Waqas ◽  
Qian-li Dong ◽  
Naveed Ahmad ◽  
Yuming Zhu ◽  
Muhammad Nadeem
Keyword(s):  
Supply Chain ◽  
Structural Equation Modeling ◽  
Delphi Method ◽  
Reverse Logistics ◽  
Structural Equation ◽  
Manufacturing Industry ◽  
Equation Modeling ◽  
Manufacturing Companies ◽  
Barriers To Implementation ◽  
Community Pressure

Globalization policies are encouraging manufacturing companies to produce environment-friendly products that offer a sustainable competitive advantage. Currently, product recovery and zero-waste supply chains have caught the attention of manufacturers and professionals. Reverse logistics (RL) is considered as the most significant part of supply chain management in developed countries; unfortunately, its implementation in developing countries is in the initial stages due to certain barriers. This study aims to identify and verify the barriers to implementation of reverse logistics using a two-stage methodology: the Delphi Method and Structural Equation Modeling. A comprehensive literature review was considered to identify a primary set of barriers. Using the Delphi Method, a team of experts screened out barriers after performing three iterations. A survey-based questionnaire was then sent out to supply chain and logistics employees in the manufacturing industry and relevant government authorities. Five hundred and forty-seven useful responses were analyzed in the Statistical Package for the Social Science (SPSS) & AMOS 21 softwares using Structural Equation Modeling to verify barriers, and ranked according to their severity. The most critical barriers with respect to each category are: high cost of reverse logistics adoption (finance and economics), lack of skilled professionals (knowledge and experience), lack of government supportive policies (law and regulation), poor organizational culture (management), lack of human resources (infrastructure and technology), lack of environmental law awareness (environment), lack of community pressure (market) and company policies (reverse logistics in policy). Overall, the top five barriers found in this study include lack of initial capital, lack of skilled professional in RL, companies’ policies against RL, lack of new technologies and information systems, and lack of community pressure. Knowledge about barriers to reverse logistics allows manufacturing companies to prepare a priority list of actions for better implementation of the reverse logistics system.

scholarly journals Antecedents Factors Affecting Cyberbullying Risks: A Study In Jordanian Secondary Schools

2020 ◽  
Vol 8 (3) ◽  
pp. 345-349
Author(s):  
Hesham Almomani ◽  
Diya Al-Jabali ◽  
Fayez Bni Mufarrej ◽  
Heba Ahmad
Keyword(s):  
Structural Equation Modeling ◽  
Secondary Schools ◽  
Self Efficacy ◽  
Structural Equation ◽  
Cyber Bullying ◽  
Equation Modeling ◽  
Postgraduate Students ◽  
Factors Affecting ◽  
Research Results

Purpose of the study: In this study, the primary aim is to identify the effects of self-efficacy and cyber bullying knowledge on cyber bullying risks among Jordanian students. Methodology: The population of the study specifically comprised of Jordanian students in Irbid students, with the study sample being 153 students. Accordingly, a questionnaire was developed and disseminated among the students to gather data for the achievement of the study objectives. The study used Structural Equation Modeling (SEM). The study also employed AMOS 23.0 and SPSS 25.0 software in SEM. Main Findings: self-efficacy and cyber bullying knowledge factors do have significant effects on cyber bullying risks. Applications of this study: This research can be used for academic purposes for universities, lecturers of education and management, researchers and undergraduate and postgraduate students. Novelty/Originality of this study: The phenomenon that existed in cyber bullying and referring from various previous research results, the study regarding the cyber bullying was conducted and presented comprehensively and completely. It is necessary examine the effect of self-efficacy and cyber bullying knowledge factors on cyber bullying risks.

scholarly journals Factors Affecting Organizations’ Resistance to the Adoption of Blockchain Technology in Supply Networks

2020 ◽  
Vol 12 (21) ◽  
pp. 8882 ◽  
Author(s):  
Daeheon Choi ◽  
Chune Young Chung ◽  
Thou Seyha ◽  
Jason Young
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
New Technologies ◽  
Equation Modeling ◽  
Sustainable Supply Chain ◽  
Supply Networks ◽  
Factors Affecting ◽  
Supply Chain Networks ◽  
Blockchain Technology ◽  
Technological Barriers

From a supply chain perspective, new technologies such as blockchain can improve the efficiency and competitiveness of logistics and increase customer satisfaction. Although blockchain technology has been lauded as a way for firms to build sustainable supply chain networks, the rate of acceptance of this technology remains low. Therefore, this study seeks to identify the factors that discourage firms from merging blockchain with the supply chain. Instead of providing further reasons for adopting blockchain technology, we try to understand what deters firms from adding blockchain to their operations. Following the deductive approach, a confirmatory factor analysis is conducted on pre-test questionnaires to test, improve, and verify the constructs (questions) to measure the hypothesized factors. A theoretical model is proposed based on the hypotheses, and structural equation modeling is applied. The results are estimated using the partial least squares approach and a sample of 83 respondents. Our findings based on our empirical data support most of our hypotheses. We find that various factors impede the adoption of blockchain technologies, including technological barriers, constraints rooted in organizations and the environment, and system-related governmental barriers. In addition, various factors are critical determinants of resistance to blockchain in the technological, organizational, and environmental dimensions.

scholarly journals Reaping the Benefits of Long Term Relationship with Suppliers: An Evidence from the Saudi Chemical Industry

2016 ◽  
Vol 11 (8) ◽  
pp. 203
Author(s):  
Khalid M. Al-Shuaibi
Keyword(s):  
Supply Chain ◽  
Structural Equation Modeling ◽  
Financial Performance ◽  
Chemical Industry ◽  
Indirect Effect ◽  
Structural Equation ◽  
Equation Modeling ◽  
Supply Chain Performance

<p>Long term relationship with suppliers is broadly considered a vital contributor to supply chain performance by both practitioners and researchers. This paper investigates the role of long term relationship in strategic supplier partnership and financial performance (SSP-LR-P model). Specifically, it has observed the role of long-term supplier relationship as the driver of integration. Using structural Equation modeling (SEM) to analyze the data from 401 Saudi chemical and petrochemical firms, it is found that strategic supplier partnership has a significant direct and indirect effect on firms’ performance through the mediation of long term relationship.</p>

scholarly journals Factors affecting prefabricated construction promotion in China: A structural equation modeling approach

PLoS ONE ◽  
2020 ◽  
Vol 15 (1) ◽  
pp. e0227787
Author(s):  
Wen Jiang ◽  
Zhu Huang ◽  
Ying Peng ◽  
Yaqi Fang ◽  
Yunzhong Cao
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Equation Modeling ◽  
Factors Affecting ◽  
Modeling Approach
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