scholarly journals A company’s relational strategy: Linkage between strategic choices, attributes, and outcomes

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0254531
Author(s):  
Agnieszka Zakrzewska-Bielawska ◽  
Dagmara Lewicka
Keyword(s):  
Supply Chain ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
International Markets ◽  
Equation Modeling ◽  
Strategic Choices ◽  
Organizational Relationships ◽  
Supply Chain Relationships ◽  
Managerial Implications ◽  
Market Benefits

Nowadays, the idea of firms’ atomization is rejected and companies are perceived as entities embedded in inter-organizational relationships and their configurations, including dyads and networks. The relational view in strategic management thus prompts research on a firm’s relational strategy. This paper taps this gap considering links between strategic choices and attributes of a company’s inter-organizational relationships, as well as the outcomes achieved by collaboration with different groups of stakeholders. We test the model based on research carried out on a representative sample of 400 enterprises operating in Poland and on international markets. The results of structural equation modeling show that 1) the outcomes of collaboration reflect market benefits and are dependent on the durability of the inter-organizational relationships and the heterogeneity of the supply chain relationships, 2) durability as an attribute of the relational strategy depends on the choice of how to create and appropriate value, and 3) in turn, the attribute of heterogeneity of the relational strategy depends on what type of partners are selected. Thereby, we deliver managerial implications on how to create a relational strategy to achieve a relational rent and better a company’s market position.

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 Linking Supply Chain Network Complexity to Interdependence and Risk-Assessment: Scale Development and Empirical Investigation

2015 ◽  
Vol 17 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Samyadip Chakraborty
Keyword(s):  
Risk Assessment ◽  
Supply Chain ◽  
Structural Equation ◽  
The Body ◽  
Equation Modeling ◽  
Supply Chain Network ◽  
Managerial Decision ◽  
Empirically Supported ◽  
Body Of Knowledge ◽  
Managerial Implications

Concepts like supply chain network complexity, interdependence and risk assessment have been prominently discussed directly and indirectly in management literature over past decades and plenty of frameworks and conceptual prescriptive research works have been published contributing towards building the body of knowledge. However previous studies often lacked quantification of the findings. Consequently, the need for suitable scales becomes prominent for measuring those constructs to empirically support the conceptualized relationships. This paper expands the understanding of supply chain network complexity (SCNC) and also highlights its implications on interdependence (ID) between the actors and risk assessment (RAS) in transaction relationships. In doing so, SCNC and RAS are operationalized to understand how SCNC affects interdependence and risk assessment between the actors in the supply chain network. The contribution of this study lies in developing and validating multi-item scales for these constructs and empirically establishing the hypothesized relationships in the Indian context based on firm data collected using survey–based questionnaire. The methodology followed included structural equation modeling. The study findings indicate that SCNC had significant relationship with interdependence, which in turn significantly affected risk assessment. This study carries both academic and managerial implications and provides an empirically supported framework linking network complexity with the two key variables (ID and RAS), playing crucial roles in managerial decision making. This study contributes to the body of knowledge and aims at guiding managers in better understanding transaction relationships.

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.

Developing a reverse logistics competency

2016 ◽  
Vol 46 (3) ◽  
pp. 293-315 ◽  
Author(s):  
Tyler R. Morgan ◽  
Robert Glenn Richey Jr ◽  
Chad W. Autry
Keyword(s):  
Supply Chain ◽  
Reverse Logistics ◽  
Structural Equation ◽  
Equation Modeling ◽  
Resource Based View ◽  
Content Type ◽  
Supply Chain Relationships ◽  
Research Questions ◽  
The Impact ◽  
The Relationship

Purpose – The purpose of this paper is to explore the influence of collaboration and information technology (IT) on the reverse logistics competency of firms. Through collaboration firms can improve their ability to handle returns, but this research introduces IT as providing a moderating influence over the impact of collaboration in the advancement of a reverse logistics competency. Design/methodology/approach – A survey was administered to employees involved with supply chain relationships. Empirical evidence from 267 respondents is analyzed with structural equation modeling. Findings – Support is found for the positive moderating influence of an IT competency on the relationship between collaboration and a reverse logistics competency. Additional benefits for logistics performance are also realized. Research limitations/implications – This research provides theoretical implications for the development of a reverse logistics competency through an application of resource-based theory/resource-based view of the firm. The study is limited to the selected research questions and sample of predominantly US firms. Practical implications – This research assists managers as they attempt to develop a reverse logistics competency to address the growing problem of returns through collaboration with supply chain members and the development of an IT competency. Originality/value – The framework developed in this research provides insights regarding the handling of product returns. Specifically, the moderating influence of an IT competency is addressed as it enhances the impact of collaboration on the development of a reverse logistics competency.

Examining the Relationship Among Experience, Perceived Value, and Satisfaction in Exhibitions

2020 ◽  
Vol 24 (1) ◽  
pp. 169-184
Author(s):  
Dae-Hui Lee
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Structural Model ◽  
Economic Value ◽  
Perceived Value ◽  
Equation Modeling ◽  
Mediating Role ◽  
Managerial Implications ◽  
Emotional Value ◽  
The Relationship

The purpose of this study is to evaluate the relationship among experience, perceived value, and attendance satisfaction in exhibitions. It used structural equation modeling (SEM) technique to examine the causal relationships and develop a structural model that identified the influencing dimensions of experience and perceived value on attendance satisfaction, both directly and indirectly. The results of structural equation modeling analyses uncovered significant relationships among experience, perceived value, and satisfaction. First, relatively important factors of both experience (i.e., entertainment, escapism, and education) and perceived value (i.e., emotional value, economic value, and social value) applied in the exhibition industry were discovered. Second, a clear experience–perceived value–satisfaction chain was confirmed, with direct and indirect effects. Third, the mediating role of perceived value between experience and attendance satisfaction was identified. Lastly, identifying the significant direct and indirect relationships between experience and perceived value can be the key to discovering marketing strategies of how to ultimately maximize satisfaction of exhibition attendees. The findings provide the opportunity to derive both theoretical and managerial implications.

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