scholarly journals Sustainable Supply Chains: Evidence from Small and Medium-Sized Manufacturers

2021 ◽  
Vol 13 (16) ◽  
pp. 9059
Author(s):  
Jun-Der Leu ◽  
Larry Jung-Hsing Lee ◽  
Yi-Wei Huang ◽  
Chia-Chi Huang
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Business Performance ◽  
Manufacturing Industry ◽  
Positive Impact ◽  
Value Added ◽  
Equation Modeling ◽  
Sustainable Supply Chain ◽  
Sustainable Business ◽  
Sustainable Supply Chains

As a result of the 1997 Kyoto Protocol, numerous countries have become highly interested in sustainability. Manufacturers have been triggered to develop sustainable supply chain strategies in consideration of their value-added processes and stakeholders. This study was conducted, in the context of small- and medium-sized enterprises in the Taiwanese manufacturing industry, in order to examine the relationship between sustainability and business performance from the perspective of the supply chain aspects of business cooperation, operation integration, and enterprise commitment. A total of 290 companies were surveyed and structural equation modeling was applied to analyze the figures from the samples. The results reveal that the implementation of sustainable practices in the context of enterprise commitments, supply chain cooperation, and operation integration has a positive impact on sustainability and business performance. Furthermore, in high-value manufacturing, supply chain cooperation significantly affects sustainable business performance through internal operation integration. These results may serve as a reference for the realization of supply chain sustainability in small- and medium-sized enterprises.

scholarly journals AN EXAMINATION ON THE IMPACT OF OUTSOURCING ON SUSTAINABLE SUPPLY CHAIN AND BUSINESS PERFORMANCE

2019 ◽  
Vol 6 (4) ◽  
pp. 1379-1394
Author(s):  
Vural ÇAĞLIYAN ◽  
Emel GELMEZ ◽  
Minenur Sezer DİLEK
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Business Performance ◽  
Food Industry ◽  
Point Of View ◽  
Equation Modeling ◽  
Supply Chain Performance ◽  
Sustainable Supply Chain ◽  
Goods And Services ◽  
The Impact

As a requirement of competitiveness, businesses procure those goods and services which are beyond their own fields of activity from specialized businesses. Based on this requirement, examination of the effect of outsourcing, one of the crucial instruments for businesses in gaining competitive advantage, on sustainable supply chain performance and business performance, is of importance in terms of bringing a point of view on the dimensions of the ongoing competition in sectoral sense and enabling the businesses to assess their own structures. In this context, the effect of outsourcing by businesses operating in food industry in the province of Konya on sustainable supply chain performance and business performance was examined in this study. Structural equation modeling was utilized to analyze the correlation between the variables. While no statistically significant correlation could be determined between outsourcing and sustainable supply chain perforrmance, it was found out that a statistically significant correlation existed between sustainable supply chain performance and business performance as well as between the outsourcing and business performance. 

Integrated sustainable supply chain management and firm performance in the Indian textile industry

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shashi K. Shahi ◽  
Atul Shiva ◽  
Mohamed Dia
Keyword(s):  
Firm Performance ◽  
Textile Industry ◽  
Structural Equation ◽  
Business Performance ◽  
Positive Impact ◽  
Equation Modeling ◽  
Demand Side ◽  
Sustainable Supply Chain ◽  
Content Type ◽  
Sustainability Initiatives

PurposeThis research study explores the adoption of integrated sustainable SCM practices in the textile industry in India and its impact on the firm's business performance.Design/methodology/approachThe analysis was carried out using the partial least squares structural equation modeling using SmartPLS 3.3.2.FindingsIt was found that the demand-side sustainability initiatives of the large firms and the internal sustainability practices of the small firms directly impacted their business performance. It was also found that the suppliers' sustainability initiatives had a direct and positive impact on the internal sustainability of the firm, which in turn had a direct and positive impact on the demand-side sustainability in the Indian textile industry.Originality/valueThe findings emphasize the distinctive role of each dimension of the integrated sustainable SCM on the firm performance in the Indian textile industry.

Analysis of factors impacting survivability of sustainable supply chain during COVID-19 pandemic: an empirical study in the context of SMEs

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Manish Mohan Baral ◽  
Rajesh Kumar Singh ◽  
Yiğit Kazançoğlu
Keyword(s):  
Supply Chain ◽  
Latent Variables ◽  
Structural Equation ◽  
Small And Medium Enterprises ◽  
Equation Modeling ◽  
Sustainable Supply Chain ◽  
Content Type ◽  
Sustainable Supply Chains ◽  
Business Environments ◽  
Medium Enterprises

PurposeNowadays, many firms are finding ways to enhance the survivability of sustainable supply chains (SUSSCs). The present study aims to develop a model for the SUSSCs of small and medium enterprises (SMEs) during the COVID-19 pandemic.Design/methodology/approachWith the help of exhaustive literature review, constructs and items are identified to collect the responses from different SMEs. A total of 278 complete responses are received and 6 hypotheses are developed. Hypotheses testing have been done using structural equation modeling (SEM).FindingsMajor constructs identified for the study are supply chain (SC) performance measurement under uncertainty (SPMU), supply chain cooperation (SCCO), supply chain positioning (SCP), supply chain administration (SCA), supply chain feasibility (SCF) and the SUSSCs. From statistical analysis of the data collected, it can be concluded that the considered latent variables contribute significantly towardsthe model fit.Research limitations/implicationsThe present study contributes to the existing literature on disruptions and survivability. The study can be further carried out in context to different countries and sectors to generalize the findings.Practical implicationsThe research findings will be fruitful for SMEs and other organizations in developing strategies to improve survivability during uncertain business environments.Originality/valueThe study has developed a model that shows that the identified latent variables and their indicators contribute significantly toward the dependent variable, i.e. survivability. It contributes significantly in bridging the research gaps existing in context to the survivability of SMEs.

The effect of supplier development initiatives on purchasing performance: a structural model

2005 ◽  
Vol 10 (4) ◽  
pp. 289-301 ◽  
Author(s):  
Cristóbal Sánchez‐Rodríguez ◽  
David Hemsworth ◽  
Ángel R. Martínez‐Lorente
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Manufacturing Industry ◽  
Structural Model ◽  
Essential Element ◽  
Equation Modeling ◽  
Supplier Development ◽  
Manufacturing Companies ◽  
Content Type ◽  
Different Levels

PurposeSupply chain management is an increasingly important organizational concern, and proper management of supplier relationships constitutes one essential element of supply chain success. However, there is little empirical research that has tested the effect of supplier development on performance. The main objective is to analyze the effect of supplier development practices with different levels of implementation complexity on the firm's purchasing performance.Design/methodology/approachThree supplier development constructs were defined: basic supplier development, moderate supplier development, and advanced supplier development. Three structural models were hypothesized and tested using structural equation modeling through field research on a sample of 306 manufacturing companies in Spain.FindingsIdentified important interrelationships among the various supplier development practices, basic, moderate, and advanced. Also indicated that the implementation of supplier development practices significantly contributes to the prediction of purchasing performance.Research limitations/implicationsThe use of a single key informant could be seen as a potential limitation of the study. The study was a cross‐sectional and descriptive sample of the manufacturing industry at a given point in time. A more stringent test of the relationships between the different levels of supplier development and performance requires a longitudinal study, or field experiment.Practical implicationsThis study focused on supplier development practices and revealed how involving suppliers in supplier development activities is important and may help buyers to increase their purchasing performance. The findings from the structural analysis should provide practicing managers with insights on how these practices and their benefits are related in terms of purchasing performance, thus affecting their ability to make better sourcing decisions.Originality/valueFills an important gap in the purchasing literature with respect to the area of supplier development. While there is much written about supplier development based on conceptual and case study research, this study is unique in that it is the first attempt to empirically model the relationships between different levels of supplier development and their impact on purchasing performance using a comprehensive set of practices.

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 Impact of big data and predictive analytics capability on supply chain sustainability

2018 ◽  
Vol 29 (2) ◽  
pp. 513-538 ◽  
Author(s):  
Shirish Jeble ◽  
Rameshwar Dubey ◽  
Stephen J. Childe ◽  
Thanos Papadopoulos ◽  
David Roubaud ◽  
...  
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Theoretical Model ◽  
Performance Measures ◽  
Structural Equation ◽  
Predictive Analytics ◽  
Equation Modeling ◽  
Sustainable Supply Chain ◽  
Content Type ◽  
The Impact

PurposeThe purpose of this paper is to develop a theoretical model to explain the impact of big data and predictive analytics (BDPA) on sustainable business development goal of the organization.Design/methodology/approachThe authors have developed the theoretical model using resource-based view logic and contingency theory. The model was further tested using partial least squares-structural equation modeling (PLS-SEM) following Peng and Lai (2012) arguments. The authors gathered 205 responses using survey-based instrument for PLS-SEM.FindingsThe statistical results suggest that out of four research hypotheses, the authors found support for three hypotheses (H1-H3) and the authors did not find support forH4. Although the authors did not find support forH4(moderating role of supply base complexity (SBC)), however, in future the relationship between BDPA, SBC and sustainable supply chain performance measures remain interesting research questions for further studies.Originality/valueThis study makes some original contribution to the operations and supply chain management literature. The authors provide theory-driven and empirically proven results which extend previous studies which have focused on single performance measures (i.e. economic or environmental). Hence, by studying the impact of BDPA on three performance measures the authors have attempted to answer some of the unresolved questions. The authors also offer numerous guidance to the practitioners and policy makers, based on empirical results.

Investigating Relationships Between Supply Chain Capabilities, Competitive Advantage, and Business Performance

2018 ◽  
pp. 477-503
Author(s):  
Navee Chiadamrong ◽  
Tran Thi Tham
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Business Performance ◽  
Food Industry ◽  
Critical Factor ◽  
Business Environment ◽  
Equation Modeling ◽  
Competitive Advantages ◽  
Manufacturing Companies ◽  
Food Industries

Growing in the competitive environment, organizations need to find ways to improve their performance even better by ensuring that all key drivers are being developed and utilized effectively. Thai and Vietnamese food industries are rapidly growing sectors. This study investigates the relationships between supply chain capabilities and competitive advantages towards business performance, and compares the above mentioned relationships between Thai and Vietnamese food industries. The data were gathered from conducted surveys with the food manufacturing companies in both countries, and tested by Structural Equation Modeling. The empirical results show that supply chain capabilities play an important role in business improvement in both countries. While, supply chain integration is considered as a critical factor for the Vietnamese food industry, human resource management is much regarded as important for the Thai food industry. These findings help companies in each country decide the best strategy for differentiating themselves in their business environment.

Recent Developments in Green Supply Chain Management

2017 ◽  
pp. 191-217 ◽  
Author(s):  
Jay R. Brown ◽  
Maxim A. Bushuev ◽  
Andrey A. Kretinin ◽  
Alfred L. Guiffrida
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Supply Chains ◽  
Decision Models ◽  
Sustainable Supply Chain ◽  
Sustainable Business ◽  
Chain Management ◽  
Sustainable Supply Chains ◽  
Recent Developments ◽  
Day To Day Operations

In today's supply chains, green and sustainable business practices have become an integral part of long-term strategy as well as the day-to-day operations, and sourcing and logistics play fundamental roles in ensuring the success of sustainable supply chains. In this chapter, we review recent research on three classes of decision models that are used in the logistics and sourcing functions of sustainable supply chains. Specifically, we examine and summarize recent developments in sustainable decision models for supplier selection, inventory lot-sizing, and last-mile delivery. Our review of the green and sustainable features found in these three models results in a single-source consolidation of models used in sustainable sourcing and logistics. This review may prove useful to researchers who focus on sustainable supply chain management and to practitioners who seek to expand their toolkit of models for the management and control of their supply chain.

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 Industry 4.0: A Solution towards Technology Challenges of Sustainable Business Performance

2019 ◽  
Vol 8 (5) ◽  
pp. 154 ◽  
Author(s):  
Muhammad Haseeb ◽  
Hafezali Iqbal Hussain ◽  
Beata Ślusarczyk ◽  
Kittisak Jermsittiparsert
Keyword(s):  
Industry 4.0 ◽  
Structural Equation ◽  
Business Performance ◽  
Simple Random Sampling ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Sustainable Business ◽  
Positive Role ◽  
It Implementation

Technology adoption is always a difficult task for Small and Medium-sized Enterprises (SMEs) due to lack of resources and other market issues. Many technology challenges adversely affect the sustainable business performance of SMEs. However, the incorporation of Industry 4.0 can overcome various technology issues. The goal of Industry 4.0 is to attain an advanced level of operational effectiveness and productivity, as well as a higher level of automatization. Thus, the objective of this study is to identify the role of Industry 4.0 to promote sustainable business performance in SMEs in Thailand. A survey has been prepared to collect the data from managers of SMEs and analyzed with the help of Partial Least Square. The questionnaire was used to collect the data and questionnaires were distributed by using simple random sampling. A total of 500 questionnaires were distributed amongst the managerial staff of SMEs located in Thailand. From these distributed questionnaires, 280 were returned and 270 valid responses were found. Data were analyzed by using Partial Least Square (PLS)-Structural Equation Modeling (SEM). Findings reveal that Industry 4.0 is a key to the growth of sustainable business performance among SMEs. Elements of Industry 4.0 such as big data, Internet of Things and smart factory have a positive role in promoting information technology (IT) implementation, which contributes to sustainable business performance. Moreover, organization structure and process strengthen the positive relationship between Industry 4.0 and IT implementation.

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