scholarly journals Analyzing the Barriers to Reverse Logistics (RL) Implementation: A Hybrid Model Based on IF-DEMATEL-EDAS

2021 ◽  
Vol 13 (19) ◽  
pp. 10876
Author(s):  
Chukwuebuka M. U-Dominic ◽  
Ifeyinwa Juliet Orji ◽  
Modestus Okwu

Recently, manufacturing companies aspire to implement reverse logistics in response to stakeholders’ requirements to reduce negative environmental consequences, improve organizational sustainable performance and ultimately increase competitive advantage. However, implementing reverse logistics can be impeded by a criteria framework, and necessitates the careful analysis of how such criteria interact with each other in the presence of uncertainty. Thus, in this study, we propose an integrated multi- criteria decision-making (MCDM) methodology that leverages the Decision Making Trial and Evaluation Laboratory (DEMATEL) under Intuitionistic Fuzzy (IF) environment and Evaluation Based on Distance to Average Solution (EDAS). Within the proposed methodology, firstly, the IF-DEMATEL is applied to obtain the interrelationships between the criteria/barriers and then, the EDAS method is applied to prioritize the criteria based on the appraisal scores evaluation. An application case within the Nigerian manufacturing sector was utilized to illustrate the viability of the proposed methodology. The study results indicate that the highly prioritized barriers to implementing reverse logistics within the Nigerian manufacturing sector include low product quality, risk of storing hazardous materials and low technical expertise. Consequently, this study makes a profound contribution to the theory and practice of reverse logistics by presenting an integrated MCDM methodology that can effectively address the criticality of barriers in the way of reverse logistics progression in a complex and uncertain scenario.

Author(s):  
Mohamed Ahmed Darwish Abdulla Larii ◽  
◽  
Fatma Ahmed Lari ◽  
Mohamed Ahmed Darwish Abdulla Lari ◽  
◽  
...  

This study intends to find out the mediating effect of organisational culture on the relationship between information system and sustainable performance of manufacturing sector in UAE. This study used AMOS-SEM software to develop mediation model that linking the mediating relationships between Information System, Organisational Culture and Sustainable operation Performance. Data was collected through questionnaire survey among the operation staff of Abu Dhabi manufacturing companies. A total 250 questionnaires were distributed however 205 were returned and only 200 are valid which indicates a response rate of 80%. The analysis found that TPS has positive but not significant effect to SP; OIS has positive but not significant effect to SP; FMW has a positive and significant effect on SP; SDS has a negative and not significant effect to SP and SP has positive but not significant effect OC. For the path relationship between the four exogenous variables (TPS, OIS, SDS, and FMW) and the mediator variable (OC), the results are TPS has positive and significant effect to OC; OIS has positive but not significant effect to OC; FMW has positive and significant effect to OC and SDS has positive and not significant effect to OC. Collectively, the five exogenous constructs (TPS, OIS, SDS, FMW and OC) explained 89% variation in operational performance and 86% of the variation in organisational culture. However, for a mediator, it was found that OC has no significant mediating effect on the relationship between TPS and SP; OC has no significant mediating effect on the relationship between OIS and SP; OC has no significant mediating effect on the relationship between SDS and SP and OC has no significant mediating effect on the relationship between FMW and SP. it can be concluded that there is a positive relationship between information system dimensions and operational performance. However organizational culture has no contributing any mediating effect to the relationship. These findings have contributed to the body of knowledge and could be shared among the UAE manufacturing practitioners.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chang Liu ◽  
Pratibha Rani ◽  
Khushboo Pachori

PurposeDue to stern management policies and increased community attentiveness, sustainable supply chain management (SSCM) performs a vast component in endeavor operation and production management. Sustainable circular supplier selection (SCSS) and evaluation presented the environmental and social concerns in the fields of circular economy and sustainable supplier selection. Choosing the optimal SCSS is vital for organizations to persuade SSCM, as specified in various researches. Based on the subjectivity of human behavior, the selection of ideal SCSS often involves uncertain information, and the Pythagorean fuzzy sets (PFSs) have a huge capability to tackle strong vagueness, uncertainty and inaccuracy in the multi-criteria decision-making (MCDM) procedure. Here, a framework is developed to assess and establish suitable suppliers in the SSCM and the circular economy.Design/methodology/approachThis paper introduced an extended framework using the evaluation based on distance from average solution (EDAS) with PFSs and implemented it to solve the SCSS in the manufacturing sector. Firstly, the PFSs to handle the uncertain information of decision experts (DEs) is employed. Secondly, a novel divergence measure and parametric score function for calculating the criteria weights are proposed. Thirdly, an extended decision-making approach, known as PF-EDAS, is introduced.FindingsThe outcomes and comparative discussion show that the developed method is efficient and capable of facilitating the DEs to choose desirable SCSS. Therefore, the proposed framework can be used by organizations to assess and establish suitable suppliers in the SCSS process in the circular economy.Originality/valueSelecting the optimal sustainable circular supplier (SCS) in the manufacturing sector is important for organizations to persuade SSCM, as specified in various research. However, corresponding to the subjectivity of human behavior, the selection of the best SCS often involves uncertain information, and the PFSs have a huge capability to tackle strong vagueness, uncertainty and inaccuracy in the MCDM procedure. Hence, manufacturing companies' administrators can implement the developed method to assess and establish suitable suppliers in the SCSS process in the circular economy.


2018 ◽  
Vol 10 (2(J)) ◽  
pp. 176-187
Author(s):  
S. Mupemhi ◽  
A. Muposhi

 Creating and sustaining competitive advantage through the adoption and implementation of innovative technologies is a strategic imperative for all learning organizations. Despite this, manufacturing companies in developing countries such as Zimbabwe are confronting challenges in implementing e-business practices. Against this background, the objective of this study was to understand organizational factors influencing e-business adoption in Zimbabwe’s manufacturing sector. The study was motivated by the need to appreciate factors that facilitate or inhibit the adoption of e-business in the context of developing countries such as Zimbabwe. A questionnaire was distributed to a random sample of 118 companies registered by the Confederation of Zimbabwe Industries in 2015. Regression analysis was used to test the posited hypotheses. Results revealed that manufacturing companies in Zimbabwe differ significantly in their inclination to adopt and implement e-business strategies. Innovation orientation, financial resources, perceived usefulness and size of the firm were found to be positively associated with e-business adoption. The study also found that technological resources did not have a statistically significant relationship with e-business adoption. The study furthers current debate on e-business adoption by identifying the drivers of e-business adoption in the manufacturing sector in the context of a developing country. The importance of this study lies in its contribution to theory and practice. In terms of theory, this study contributes to the body of knowledge on organizational factors influencing e-business adoption and provides avenues for further studies. In practice, the findings of this study add to the insights of managers in the manufacturing sector in developing countries, which influence the adoption of e-business practices.  


2020 ◽  
Vol 12 (4) ◽  
pp. 1517
Author(s):  
Neeraj Bhanot ◽  
Fahham Hasan Qaiser ◽  
Mohammed Alkahtani ◽  
Ateekh Ur Rehman

Sustainability is a growing concern for manufacturing companies, as they are major contributors to pollution and consume a substantial portion of the world´s natural resources. Sustainable manufacturing can reduce waste, conserve energy and increase resource efficiency. However, one of the main challenges facing manufacturing organisations to put sustainability into practice is the lack of understanding of the cause-and-effect relationships between critical indicators of sustainable manufacturing. To overcome this challenge, a novel, rigorous and integrated framework, composed of four quantitative methods, is proposed to analyse critical indicators of sustainable manufacturing. The analysis is based on responses from both academic and industry experts. These four methods including DEMATEL (decision-making trial and evaluation laboratory), the MMDE (maximum mean de-entropy) algorithm, ISM (interpretive structural modelling) and SEM (structural equation modelling) are uniquely integrated to present statistically validated relationships between critical indicators using information on varying degrees of relationship between them. The final cause-and-effect models for the respondent groups (i.e., researchers and industry experts) are further validated through gathering the viewpoints of a researcher and an industry practitioner for its robustness. The novelty of our research lies in: (1) proposing a novel and integrated rigorous quantitative framework combined with qualitative research method; (2) applying the proposed framework to analyse contextual relationships between critical indicators of implementing sustainability, in the manufacturing sector as a whole, which to the best of authors’ knowledge is the first of its kind; and (3) comparing and contrasting results of researchers and industry practitioners’ groups along with a check of their validation and robustness.


2019 ◽  
Vol 25 (3) ◽  
pp. 359-373
Author(s):  
Ruoqi Geng ◽  
Afshin Mansouri ◽  
Emel Aktas ◽  
Dorothy A. Yen

Purpose Drawing on institutional complexity, this study aims to explore the interaction effect of formal and informal institutional forces on the adoption of green supplier collaboration (GSC) practices by Chinese manufacturing firms. Design/methodology/approach The paper hypothesises that the effect of the formal institutional forces on GSC in China is influenced by an informal institutional variable, guanxi, which is the interpersonal relationship between employees of the supplier and the manufacturer. To test the conceptual framework, hierarchical moderated regression analyses are conducted using multi-respondent data from 408 randomly sampled manufacturing companies in China. Findings Guanxi has a double-edged sword effect on the adoption of GSC practices. Specifically, guanxi reduces the negative impact of the perceived costs and the complexity of regulations on the adoption of GSC practices, but it also weakens the positive effect of suppliers’ advice and community pressures on the adoption of GSC practices. Research limitations/implications Results contribute to supply chain management literature by offering novel theoretical and empirical insights on the Chinese institutional environment governed by both formal and informal institutional variables. Practical implications Considering guanxi’s double-edged sword effect on the adoption of GSC, manufacturing companies are advised to carefully leverage their guanxi to maintain an institutional and contingent view of the environmental consequences in China. Originality/value This study empirically examines the effect of formal and informal institutional environments on the adoption of GSC practices in emerging economies.


2019 ◽  
Vol 23 (5) ◽  
pp. 18-29
Author(s):  
. Amarudin ◽  
M. Adam ◽  
U. Hamdan ◽  
A. Hanafi

The study aims to determine the Effect of growth opportunity, corporate tax, and profitability on the value of firm through the capital structure as an intervening variable at manufacturing companies in Indonesia Stock Exchange. The sample consists of 32 manufacturing sector companies listed in Indonesia Stock Exchange within 2013–2017. The study results show that growth opportunity and corporate tax have a positive effect on the structure of capital, in contrast to profitability, which affects negatively. Meanwhile, capital structure and profitability have a positive Effect on firm value. On the other hand, growth opportunity and corporate tax have no bearing on company value. Yet, capital structure does not mediate between growth opportunity and corporate tax to the value of firm. Nevertheless capital structure mediates the Effect of profitability on the value of firm.


2021 ◽  
Vol 2 (1) ◽  
pp. 030-046
Author(s):  
Boddu Raju ◽  
V.V.S. Kesava Rao

In this paper, a decision support methodology for multiple attributes group decision making problem is developed. The proposed methodologies are based on Data Envelopment Analysis (DEA), Grey Relation analysis (GRA) and hybrid GRA-DEA methods. These methods are implemented for evaluation and ranking of organizations in sustainable perspective. In the proposed methods, the payoff values of alternatives are expressed in linguistic terms, given by the decision makers. Then, these linguistic terms are described by triangular fuzzy numbers. Charnes model of DEA is formulated in fuzzy environment to determine efficiencies of DMUs. Following the GRA method’s algorithm, a relative closeness coefficient is defined to determine the ranking order of all alternatives by calculating the distances to the fuzzy positive-ideal solution (FPIS), as well as to the fuzzy negative-ideal solution (FNIS). Also, performance evaluation of these companies is made through hybrid GRA-DEA in fuzzy environment. The weights of the criteria are determined objectively during evaluation of these companies in the proposed GRA and DEA-GRA methods. Comparison of proposed approaches is made and final ranking of the organizations is sustainable perspective is arrived. The proposed methodologies are illustrated with a case study of five steel manufacturing companies in India.


2018 ◽  
Vol 10 (2) ◽  
pp. 176
Author(s):  
S. Mupemhi ◽  
A. Muposhi

 Creating and sustaining competitive advantage through the adoption and implementation of innovative technologies is a strategic imperative for all learning organizations. Despite this, manufacturing companies in developing countries such as Zimbabwe are confronting challenges in implementing e-business practices. Against this background, the objective of this study was to understand organizational factors influencing e-business adoption in Zimbabwe’s manufacturing sector. The study was motivated by the need to appreciate factors that facilitate or inhibit the adoption of e-business in the context of developing countries such as Zimbabwe. A questionnaire was distributed to a random sample of 118 companies registered by the Confederation of Zimbabwe Industries in 2015. Regression analysis was used to test the posited hypotheses. Results revealed that manufacturing companies in Zimbabwe differ significantly in their inclination to adopt and implement e-business strategies. Innovation orientation, financial resources, perceived usefulness and size of the firm were found to be positively associated with e-business adoption. The study also found that technological resources did not have a statistically significant relationship with e-business adoption. The study furthers current debate on e-business adoption by identifying the drivers of e-business adoption in the manufacturing sector in the context of a developing country. The importance of this study lies in its contribution to theory and practice. In terms of theory, this study contributes to the body of knowledge on organizational factors influencing e-business adoption and provides avenues for further studies. In practice, the findings of this study add to the insights of managers in the manufacturing sector in developing countries, which influence the adoption of e-business practices.  


2019 ◽  
pp. 33-41
Author(s):  
V. L. Harutyunyan ◽  
S. V. Dokholyan ◽  
A. R. Makaryan

The presented study discusses the issues of applying the Common Customs Tariff (CCT) rates of the Eurasian Economic Union (EAEU) on rough diamonds and the impact thereof on the exports of stones cut and polished inArmeniaand then exported toRussia.Aim. The study aims to identify the possible strategies Armenian diamond cutting and polishing companies could adopt as a response to the application of the CCT rates on rough diamonds and how it would affect exports to various destinations, namely to Russia.Tasks. The authors analyze the current state of the gems and jewelry sector and substantiate the need to either integrate it into the jewelry manufacturing sector or to apply various strategies to facilitate exports to either Russia or other destinations in the medium term in response to the application of the CCT rates.Methods. This study uses general scientific methods of cognition, including analytical and methodological approaches and elements of forecasting. Possible strategies the Armenian diamond cutting and polishing companies could adopt in the medium term in response to the application of the EAEU CCT rates are determined using the analytical research method, forecasts in the context of the developments in the Armenian gem processing and jewelry market and global trends, statistical data on the imports and exports of cut and polished gems and jewelry for 2014–2018 published by the UN Comtrade Statistics.Results. Statistics on the exports of processed diamonds from 2014 to 2018 highlights the issue associated with the loss of competitiveness suffered by Armenian companies (mainly in comparison with Indian diamond cutters). The major global trends in the diamond cutting and polishing business indicate that it could be virtually impossible for Armenian cutters and polishers to compete with Indian companies in the medium term if they do not comes to investing in new technology to achieve operational efficiency. For these companies, it is important not to lose the Russian market due to an increase in the tariff rate and concentrate on the processing of gems that are larger than 1 carat. Another strategy to avoid an increase in the customs tariff rates would depend on the Armenian government’s ability to negotiate with Russia in respect of direct imports of diamond stones from Russian manufactures. Two other options for Armenian cutters involve focusing on cutting and polishing of rubies, sapphires, emeralds, etc. or integrating into the jewelry sector either by being the primary supplier or by considering this business as a channel to sell processed diamond stones by setting up their own jewelry manufacturing companies.Conclusions. With CCT going into effect in January 2021 and India’s dominant role in the diamond cutting and polishing business, Armenia needs to carefully consider all of the strategies the Armenian companies could adopt, as discussed above. As a member state of the EAEU, Armenia freely exports to Russia, however, further exports to Russia would depend on Armenia’s ability to ensure that cost-effective operations are in place, or to concentrate on the processing of precious gems rather than diamonds, or to switch to the manufacturing of jewelry items as a major export item.Practical Implication. The findings of this study could be of interest to the Ministry of Economy of the Republic of Armenia and Business Armenia that could be used in elaborating the strategy for the development of Armenian gems and jewelry sector of the economy.


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