scholarly journals Does Supply Chain Analytics Enhance Supply Chain Innovation and Robustness Capability?

Organizacija ◽  
2019 ◽  
Vol 52 (2) ◽  
pp. 95-106 ◽  
Author(s):  
Mohamed Dawood Shamout
Keyword(s):  
Supply Chain ◽  
Structural Equation Modeling ◽  
Survey Data ◽  
Structural Equation ◽  
Design Methods ◽  
Equation Modeling ◽  
Line Managers ◽  
Knowledge Based

Abstract Background and purpose: Little are known about the nature of the interaction between supply chain analytics, supply chain innovation and robustness capability. The purpose of this paper is to examine the effectiveness of supply chain analytics in enhancing firms supply chain innovation and robustness capability in the Arabian context. Design/Methods: Using knowledge-based view and survey data from line managers in supply and logistics departments, the present study uses variance-based structural equation modeling (PLS-SEM) to diagnose the association between supply chain analytics, supply chain innovation and robustness capability. Findings: Results suggest that supply chain analytics exerted significant impact on supply chain innovation and not on robustness capability. It appears that supply chain innovation exerted a significant impact on robustness capability, in doing so, supply chain innovation mediates the link supply chain analytics and robustness capability. Conclusion: The outcome of this study points to the importance of supply chain analytics as a functional tool for supply chain and/or logistic routes stability and success. The paper concludes supply chain analytics can help managers have access timely and useful data for greater innovation; and that supply chain innovation is reliant not only on data, but also on firms’ analytic capabilities.

Fostering Product Innovation Through Digital Transformation and Absorptive Capacity

2020 ◽  
Vol 17 (06) ◽  
pp. 2050040
Author(s):  
Alejandro Coronado-Medina ◽  
Jose Arias-Pérez ◽  
Geovanny Perdomo-Charry
Keyword(s):  
Structural Equation Modeling ◽  
Survey Data ◽  
Absorptive Capacity ◽  
Product Innovation ◽  
Structural Equation ◽  
Digital Transformation ◽  
Mediating Effect ◽  
Equation Modeling ◽  
The Relationship

This paper analyzes the mediating effect of absorptive capacity (AC) on the relationship between digital transformation from e-business capabilities (EBC) perspective and product innovation (PI). Structural equation modeling (SEM) was carried out with the survey data from a sample of firms that belong mainly to highly digitalized sectors. The results indicate the existence of a full mediation, which means knowledge derived from the digital operation of the business can only result in PI if AC plays an intermediation role. Hence, this finding calls into question the idea that digitalization alone and automatically acts as a PI driver.

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 Effects of Strategic Orientation on Performance of Telecommunication Sector in Nigeria

2021 ◽  
Vol 4 (3) ◽  
Author(s):  
Niyi Israel Akeke ◽  
◽  
Adenike Rita Akeke ◽  
Ayodeji Muyideen Awolaj ◽  
Mathew Olufemi Oyebanji
Keyword(s):  
Structural Equation Modeling ◽  
Significant Influence ◽  
Structural Equation ◽  
Strategic Orientation ◽  
Equation Modeling ◽  
Telecommunication Sector ◽  
Line Managers ◽  
Strategic Orientations ◽  
Using Data ◽  
Technology Orientation

The study explores the potential influences of strategic orientation constructs of entrepreneurial, market and technology orientations on telecommunication firms’ performance using data obtained through structured questionnaires from 57 line managers and 300 customers of these firms. The data collected were subjected to the structural equation modeling technique. The results revealed that strategic orientation has a positive significant relationship with firm performance. Specifically, it showed that only technology orientation has a significant influence on telecommunication firms’ performance. The study contributes to the understanding of the rationale behind which set of strategic orientations should be implemented for improved level of performance in the telecommunication sector.

scholarly journals Pengaruh Proses Pelaporan Dan Penyetoran Pajak Serta Kepuasan Dan Kepatuhan Dalam Wajib Pajak Pribadi Kabupaten Sleman Terhadap Ketahanan Ekonomi Wilayah

2018 ◽  
Vol 24 (3) ◽  
pp. 354
Author(s):  
Diki Ferdiana ◽  
Ayu Chairina Laksmi
Keyword(s):  
Structural Equation Modeling ◽  
Computer Program ◽  
Survey Data ◽  
Empirical Research ◽  
Structural Equation ◽  
Equation Modeling ◽  
Economic Resilience ◽  
Descriptive Method

ABSTRACT This study examinedthe influence of the process of reporting and depositing taxes as well as satisfaction and compliance in personal taxpayers in Sleman regency against economic resilience. The purpose of this study was to analyzed the influence of the process of reporting and depositing taxes and taxpayer compliance and compliance with economic resilience.This research was an empirical research by taking samples of taxpayers in Sleman District. Survey data were analyzed statistically using descriptive method and Structural Equation Modeling (SEM) with the help of computer program AMOS v22. The results showed that the process of reporting and depositing taxes and satisfaction and compliance in taxpayershad posistive influence, which had a significant impact on the economic resilience of the region. This could be said as a form of economic resilience of the region which was the basis of national resilienceABSTRAK Penelitian ini mengkaji tentang pengaruh proses pelaporan dan penyetoran pajak serta kepuasan dan kepatuhan dalam wajib pajak pribadi di Kabupaten Sleman terhadap ketahanan ekonomi. Tujuan penelitian ini untuk menganalisis pengaruh proses pelaporan dan penyetoran pajak serta kepuasan dan kepatuhan wajib pajak terhadap ketahanan ekonomi.Penelitian ini merupakan penelitian empiris dengan mengambil sampel para wajib pajak di Kabupaten Sleman. Data survei dianalisis secara statistik menggunakan metode deskriptif dan Structural Equation Modeling (SEM) dengan bantuan program komputer AMOS v22.Hasil penelitian menunjukkan bahwa proses pelaporan dan penyetoran pajak serta kepuasan dan kepatuhan dalam wajib pajak berpengaruh posistif, yang berdampak signifikan terhadap ketahanan ekonomi wilayah. Hal ini dapat dikatakan sebagai wujud dari ketahanan ekonomi wilayah yang merupakan dasar dari ketahanan nasional. 

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 A structural equation modeling of supply chain strategies for artemisinin-based combination therapies in Uganda

2021 ◽  
Vol 5 ◽  
pp. 239920262110647
Author(s):  
Oluka Pross Nagitta ◽  
Marcia Mkansi ◽  
Sylvia Desire Nyesiga ◽  
George William Kajjumba
Keyword(s):  
Supply Chain ◽  
Structural Equation Modeling ◽  
Public Sector ◽  
Structural Equation ◽  
Public Hospitals ◽  
Equation Modeling ◽  
Top Management ◽  
Sample Population ◽  
Combination Therapies ◽  
The Public

Introduction: Malaria is a killer disease in the tropical environment; artemisinin-based combination therapies (ACTs) play a central role in treating malaria. Thus, the supply and presence of ACT drugs in hospitals are a key feature in the fight against malaria. Supply chain management literature has focused on the private sector, and less attention has been paid to the public sector, especially hospitals. Aim: This study uses an interdisciplinary lens in investigating how to boost the supply and distribution of ACTs to save lives in low-income countries, specifically in Uganda. Methodology: The study adopted a quantitative research design using a questionnaire as the data collection instrument. Of the 440-population size, 304 of the sample population participated in the study. The model was estimated using structural equation modeling (SEM) to establish the causal relationship among the variables. Results: From the SEM analysis, all the hypotheses were significant at p < 0.05. The availability of ACTs is strongly affected by strategic dimensions (0.612), followed by operation dimensions (0.257); strategic determinants significantly affect operational determinants by a magnitude of 0.599. The indirect influence of the strategic determinants via operational determinants on the availability of ACTs is not significant. Overall, the factors explained 63.9% of the observed variance in the availability of ACTs, and the ACT availability can be predicted as follows: ACT availability = 0.612 × strategic determinants + 0.256 × operation determinants. Top management commitment and organizational responsiveness are among the items that positively affect the availability of ACTs. Conclusion: Strategically, hospital management should invest in cheap technology and software to minimize the unavailability of medicines. Our research suggests that strategic and operational determinants should be integrated into the hospitals’ core business and implemented by the top management. The article contributes to theoretical and policy direction in the public sector medicine supply chain, specifically in public hospitals.

scholarly journals Analyzing factorial survey data with structural equation models

2021 ◽  
pp. 004912412110431
Author(s):  
Bert Weijters ◽  
Eldad Davidov ◽  
Hans Baumgartner
Keyword(s):  
Structural Equation Modeling ◽  
Survey Data ◽  
Structural Equation ◽  
Multilevel Models ◽  
Structural Equation Models ◽  
Social Science Research ◽  
Science Research ◽  
Equation Modeling ◽  
Factorial Survey ◽  
Modeling Framework

In factorial survey designs, respondents evaluate multiple short descriptions of social objects (vignettes) that experimentally vary different levels of attributes of interest. Analytical methods (including individual-level regression analysis and multilevel models) estimate the weights (or utilities) assigned to the levels of the different attributes by participants to arrive at an overall response to the vignettes. In the current paper, we explain how data from factorial surveys can be analyzed in a structural equation modeling framework using an approach called structural equation modeling for within-subject experiments. We review the use of factorial surveys in social science research, discuss typically used methods to analyze factorial survey data, introduce the structural equation modeling for within-subject experiments approach, and present an empirical illustration of the proposed method. We conclude by describing several extensions, providing some practical recommendations, and discussing potential limitations.

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