Effects of low carbon supply chain practices on environmental sustainability

2019 ◽  
Vol 8 (1) ◽  
pp. 2-25 ◽  
Author(s):  
Chiranjit Das ◽  
Sanjay Jharkharia
Keyword(s):  
Supply Chain ◽  
Environmental Sustainability ◽  
Structural Equation ◽  
Structural Model ◽  
Manufacturing Firms ◽  
Equation Modeling ◽  
Low Carbon ◽  
Content Type ◽  
Carbon Supply ◽  
Operational Practices

PurposeThe purpose of this paper is to empirically examine the relationships between low carbon supply chain practices and their relationships with environmental sustainability (ES) and the economic performances (EP) of firms. The study also includes an examination of the low carbon supply chain practices that are utilized by Indian manufacturing firms.Design/methodology/approachThrough a questionnaire-based survey, the data received from 83 Indian manufacturing firms was analyzed using a variance-based structural equation modeling technique to test the proposed hypotheses.FindingsThe study indicates that carbon governance is a strategic imperative for the adoption of low carbon supply chain practices. Similarly, low carbon product and process design (LCPPD), manufacturing and logistics lead to improved ES. In addition, low carbon purchasing is positively related to the adoption of LCPPD, manufacturing and logistics. No significant relationship was found between the adoption of low carbon supply chain practices and the EP of a firm.Practical implicationsThe findings of this study may assist manufacturing managers in prioritizing operational practices for the reduction of emissions.Originality/valueThis study provides two major contributions to green supply chain management. First, it provides comprehensive empirical evidence on low carbon supply chain practices that are being followed by Indian manufacturing firms. Second, this study also empirically validated a structural model of low carbon supply chain practices.

The nexus of information sharing, technology capability and inventory efficiency

2020 ◽  
Vol 33 (4) ◽  
pp. 327-351
Author(s):  
Yudi Fernando ◽  
Ahmed Zainul Abideen ◽  
Muhammad Shabir Shaharudin
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Structural Equation ◽  
Online Survey ◽  
Structural Model ◽  
Manufacturing Firms ◽  
Equation Modeling ◽  
Inventory Level ◽  
Content Type ◽  
It Capabilities

Purpose This paper aims to examine the effect of inventory information sharing on inventory efficiency and its intervening effect of information technology (IT) capability in manufacturing firms. Design/methodology/approach Stratified random sampling and filter questions selected targeted respondents, and an online survey collected 124 completed questionnaires from Malaysian manufacturing firms. partial least squares structural equation modeling (PLS-SEM) examined the structural model and hypothesis statement. An analysis of importance-performance map analysis (IPMA) test identified the relative importance drivers of inventory efficiency. Findings The findings showed that enhanced IT capabilities in manufacturing firms mediate a positive relationship between inventory sharing and inventory efficiency. Research limitations/implications This study portrays the relationship between inventory level, demand and information sharing. The research was carried out only within Malaysian manufacturing firms. Practical implications These findings will enable the management of manufacturing firms to design and visualise their inventory levels and share best practices across supply chain networks to achieve effective and optimised inventory planning. Social implications This study illustrates an intervention model that offers a direct and indirect impact of IT capabilities that allow scholars to close inventories productivity gaps in research. Originality/value This paper extends the limited literature on the sharing of inventory information and inventory productivity, notably from a strategic management perspective. The findings help scholars clearly understand the information systems capability and its mediating impact on information sharing and inventory efficiency’s relationship in the manufacturing sector. Moreover, demand information sharing affected the dynamic supply chain.

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.

Analysing the effect of low carbon product design on firm performance

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chiranjit Das
Keyword(s):  
Product Design ◽  
Economic Performance ◽  
Structural Equation ◽  
Manufacturing Firms ◽  
Equation Modeling ◽  
Low Carbon ◽  
Environmental Strategy ◽  
Carbon Product ◽  
Content Type ◽  
Proactive Environmental Strategy

PurposeThe purpose of this study is to analyze the effect of low carbon product design on firm's competitiveness and economic performance. It also examines the mediating role of the proactive environmental strategy and eco-innovation on low carbon product design, competitiveness and economic performance.Design/methodology/approachThrough a questionnaire-based survey, the data were collected from 69 Indian manufacturing firms and analyzed using a variance-based structural equation modeling (SEM) technique to test the proposed hypotheses.FindingsThe results show that the low carbon product design significantly improves firm's competitiveness and economic performance, and proactive environmental strategy significantly mediates the relationship between low carbon product design and firm's competitiveness.Practical implicationsThis study provides a framework for the adoption of low carbon product design. It demonstrates how manufacturing firms can implement environmental friendly product design. It also analyses the contextual factors that ensure a successful low carbon product design.Originality/valueThis article investigates the economic benefit of low carbon product design, thus filling lacuna in existing research.

Drivers of logistics outsourcing: examining transaction costs, core competences and planned behavior

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Oskari Rintala ◽  
Tomi Solakivi ◽  
Sini Laari ◽  
Juuso Töyli ◽  
Lauri Ojala
Keyword(s):  
Supply Chain ◽  
Planned Behavior ◽  
Structural Equation ◽  
Structural Model ◽  
Third Party ◽  
Equation Modeling ◽  
Manufacturing Companies ◽  
Logistics Outsourcing ◽  
Content Type ◽  
The Core Competence

PurposeThis study aims to investigate the extent to which psychological factors and the agency of decision-makers drive outsourcing decisions. Arguments based on transaction cost economics, the core competence approach and the theory of planned behavior are used to explain logistics outsourcing.Design/methodology/approachThe literature was reviewed to identify constructs that are antecedents of logistics outsourcing intentions, and corresponding measures were developed. The data were gathered through a survey of supply chain professionals in Finnish manufacturing companies. A measurement model was reviewed to ensure reliability and validity and converted into a structural model for analysis. The analysis was based on partial least squares (PLS) structural equation modeling.FindingsSupply chain managers objectively consider the characteristics of their organization's logistics identified in previous research as requiring assessment during the outsourcing process. However, and surprisingly, they also tend to rely on behavioral subjective factors such as positive attitudes, encouraging subjective norms and competence. Moreover, it seems that firms do not outsource logistics activities despite the high strategic importance of the function, but because of it.Research limitations/implicationsThe constructed model is limited to the constructs chosen to represent drivers of logistics outsourcing. Further application with more samples would improve its reliability.Practical implicationsThe factors proposed here with respect to assets and the capabilities of third-party partners could facilitate decision-making related to logistics outsourcing.Originality/valueThe findings emphasize the role of behavioral factors in the procurement function and therefore enhance the understanding of behavioral supply chain management.

Adoption of green practices throughout the supply chain: an empirical investigation

2019 ◽  
Vol 26 (6) ◽  
pp. 1650-1675 ◽  
Author(s):  
Kailash Choudhary ◽  
Kuldip Singh Sangwan
Keyword(s):  
Factor Analysis ◽  
Supply Chain ◽  
Supply Chains ◽  
Structural Equation ◽  
Structural Model ◽  
Performance Measure ◽  
Equation Modeling ◽  
Content Type ◽  
Green Practices ◽  
Research Propositions

Purpose There is a dichotomy in the actual and expected environmental performances of the Indian enterprises even though the Indian enterprises have aligned their businesses with intended nationally determined contributions (INDC) targets. The purpose of this paper is to analyze the supply chain of Indian enterprises to understand influences to adopt green practices throughout the supply chains, and how these green practices influence economic, operational and environmental performances to reveal the underlying currents explaining difference in actual and expected performance. Design/methodology/approach Five research propositions are developed based on the existing literature. Data are collected from 233 ceramic enterprises in India. Exploratory factor analysis has been done to test construct validity and correlation. Confirmatory factor analysis is used to check unidimensionality of constructs. Structural equation modeling is used to test the strength and direction of the relations between the constructs and to develop the model. Findings The findings of the study suggest that the Indian companies have aligned their businesses with INDC targets but they have not adopted the green practices in inbound and outbound supply chains; therefore, the actual environmental performance is not as expected. Other major finding is that the enterprise and government are not focusing on the informative pressure and instead the focus is on coercive techniques which are not yielding positive results. The statistical results show that the adoption of green practices led to the improvements in environmental and operational performances but reduction in economic performance. Originality/value This paper has analyzed green supply chain management pressure, practice and performance measure for Indian ceramic enterprises and proposed a structural model with their interrelation.

scholarly journals Learning orientation and innovation performance: the mediating role of operations strategy and supply chain integration

2020 ◽  
Vol 25 (4) ◽  
pp. 457-474 ◽  
Author(s):  
Vikas Kumar ◽  
Younis Jabarzadeh ◽  
Paria Jeihouni ◽  
Jose Arturo Garza-Reyes
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Manufacturing Firms ◽  
Innovation Performance ◽  
Supply Chain Integration ◽  
Equation Modeling ◽  
Learning Orientation ◽  
Operations Strategy ◽  
Content Type ◽  
Strategy Types

Purpose The purpose of this study is to explore the effect of operations strategy (cost, quality, flexibility and delivery) and supply chain integration on innovation performance under influence of learning orientation. Design/methodology/approach Taking a quantitative and deductive approach, a conceptual framework was developed and tested by analyzing data gathered through survey questionnaire from 243 UK manufacturing firms using structural equation modeling. Findings The findings show that learning orientation influences operations strategy and supply chain integration, but it does not have a direct impact on innovation performance. Additionally, quality and flexibility strategies affect innovation performance and supply chain integration positively, while cost and delivery strategies do not have a significant effect on these variables. Research limitations/implications Operations strategy types (cost, quality, flexibility and delivery) were studied as distinct variables, whereas supply chain integration also has several dimensions but that has not been investigated separately in the present research. The findings are also based on limited 243 responses from UK manufacturing firms. Practical implications Innovation performance of manufacturing firms can be improved through a more integrated supply chain if managers embody flexibility and quality capabilities in their operations and become learning oriented. Originality/value The effect of supply chain integration on innovation performance and learning orientation on supply chain integration and operations strategy types have not been fully explored in literature. Also, having all four operations strategy types in a direct relation to supply chain integration and innovation performance is another original aspect of the current study.

Constructing a process model for low-carbon supply chain cooperation practices based on the DEMATEL and the NK model

2017 ◽  
Vol 22 (3) ◽  
pp. 237-257 ◽  
Author(s):  
Chunguang Bai ◽  
Joseph Sarkis ◽  
Yijie Dou
Keyword(s):  
Supply Chain ◽  
Process Model ◽  
Development Cooperation ◽  
Low Carbon ◽  
Content Type ◽  
Nk Model ◽  
Relational Practices ◽  
Carbon Supply ◽  
Operational Practices ◽  
Initial Results

Purpose This paper aims to introduce a joint DEMATEL and NK methodology to develop a process model for introducing and implementing relational supply chain practices for low-carbon supply chains. Using this process model as a guide, insights into specific practices and how to implement these relational practices to achieve competitive advantage across organizations are introduced. Design/methodology/approach Low-carbon cooperation practices framework based on the relational view is developed. A methodology based on DEMATEL and the NK model is used to construct a sequential process model for introducing and implementing these relational practices. Empirical data from three manufacturing organizations in China are utilized to validate the model. Findings Initial results provide a sequence of relational practices for guiding those organizations and their suppliers for healthy and low-carbon development. Interdependencies between relational practices are analyzed and evaluated from four aspects. Insights into the broader application of the methodology and initial results from both a research and managerial perspective are presented, especially with consideration of the China, an emerging economy, context. Research limitations/implications The methodology remains relatively abstract in nature, yet the tool can provide very useful interpretations and information for both researchers and practitioners. Practical implications This paper stipulates that in addition to internal operational practices, the relational practices between buyer and supplier may be equally important to achieve a low-carbon outcome, especially in supply chain setting. This paper also shows that not only the relational practice itself but also the implementation sequence of the relational practices can relate to performance. According to the authors’ initial results, organizations in this study should first develop product development cooperation, then exchange carbon knowledge and implement effective governance and last build a trust relationship with its suppliers for low-carbon cooperation. Originality/value This is one of the few approaches that directly evaluates and identifies the interdependencies among relational practices and to construct a process model for introducing and implementing low-carbon supply chain cooperation. It is also the first time that the NK model has been integrated with DEMATEL. Focusing on Chinese supply chain carbon emissions concerns is also a unique perspective.

To examine the relationships between supplier development practices and supplier-buyer relationship practices from the supplier’s perspective

2017 ◽  
Vol 24 (5) ◽  
pp. 1309-1336 ◽  
Author(s):  
Sarang Joshi ◽  
Manoj Kharat ◽  
Rakesh Raut ◽  
Sachin Kamble ◽  
Sheetal Kamble
Keyword(s):  
Structural Equation ◽  
Success Factors ◽  
Structural Model ◽  
Manufacturing Firms ◽  
Supplier Development ◽  
Competitive Advantages ◽  
Content Type ◽  
The Relationship ◽  
Relationship Improvement

Purpose The purpose of this paper is to examine the relationships between supplier development practices (SDPs) and supplier-buyer relationship practices from the supplier’s perspective (SBRSP), and seek to understand how specific SDPs may impact a buyer’s operational performance as well as supplier-buyer relationship practices. Design/methodology/approach The authors conducted a survey of 512 respondents from the different manufacturing firms in India and applied structural equation modelling to test a structural model that proposes the impacts of various efforts of SDPs on a buyer’s performance as well as SBRSP. Findings The study concludes that SDPs and SBRSP together improve the relationship between a buyer and supplier, and this improved relationship leads to competitive advantages (CAs) followed by profitability. Results indicate that supplier perspective of buyer-supplier relationship can be improved under the condition of SDPs and SBRSP together. SDPs are driven by productive measure and competitive pressure, whereas customer uncertainty is found to be statistically insignificant. Research limitations/implications The study was carried out in North Maharashtra Industrial Zone of India, where the auto sector and machine/components manufacturing firms have been established for a considerable period of time. Results of the study are limited to manufacturing organizations predominantly focussing on the automobile sector and machine/components manufacturing firms. Practical implications This study provides significant insights into the specific impact of various SDPs and SBRSP for both academics and practitioners. SDPs along with SBRSP practices lead to improvement in the relationship leading to CAs. SBRSP suggests that trust, long-term commitments and the supplier’s perspective are important practices for relationship improvement. Originality/value The current study attempts to identify what are the success factors for the supplier-buyer relationship from the supplier’s perspective and SDPs and how the supplier-buyer relationship can be improved under the condition of SDPs and SBRSP. Hence, the aim is to develop a more thorough understanding of the outcomes of a supplier-buyer relationship improvement from both buyer’s and supplier’s perspective, under the conditions of supplier development to achieve CAs leading to profitability. Furthermore, the study analyses the effect of the improved supplier-buyer relationship for achieving CAs leading to profitability.

Researchers’ awareness about plagiarism and impact of plagiarism detection tools – does awareness effect the actions towards preventing plagiarism?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sk. Mamun Mostofa ◽  
Mashiat Tabassum ◽  
S.M. Zabed Ahmed
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Personal Characteristics ◽  
Equation Model ◽  
Equation Modeling ◽  
Plagiarism Detection ◽  
Chi Square ◽  
Content Type ◽  
Reported Study ◽  
Chi Square Test

Purpose This paper aims to analyse researchers’ awareness about plagiarism and impact of plagiarism detection tools on the actions that they take to prevent plagiarism. It also employs a structural model that examines whether awareness of plagiarism and anti-plagiarism tools have any significant effect on the actions taken by the researchers to avoid plagiarism. Design/methodology/approach A survey questionnaire was distributed to researchers at a large public university in Bangladesh. The survey accumulated 184 valid responses. Descriptive statistics were obtained to assess researchers’ awareness about plagiarism and impact of plagiarism detection tools and the actions taken by them. The reasons that may cause plagiarism were also identified. The awareness of the availability of the anti-plagiarism software that was being used by the university and its actual use by the researchers was gathered through the survey. Non-parametric Mann–Whitney and Kruskal–Wallis tests were conducted to investigate the differences in awareness levels and actions in terms of gender, age, discipline and current level of research. The chi-square test was carried out to examine the relationship between awareness about the availability of the anti-plagiarism software and its use by the researchers. Finally, the survey data were analysed using structural equation modeling to examine the effects of awareness of plagiarism and anti-plagiarism software on the actions taken by the researchers. Findings The study revealed that the level of awareness regarding plagiarism and impact of plagiarism detection software is generally high among the researchers. There are some significant differences between researchers’ demographic and personal characteristics and their awareness levels and actions with regard to plagiarism. The findings indicate that almost three-quarters of the researchers were aware about the anti-plagiarism tool that is being used, whereas more than half of the researchers indicated that they used the software to assess their works. The results of the structural equation model do not show a good fit, although there is strong statistical evidence that awareness about plagiarism and anti-plagiarism software has significantly impacted researchers’ actions towards preventing plagiarism. Originality/value There is no reported study on researchers’ awareness of plagiarism and its affiliated issues in Bangladesh. The findings of this study will not only provide useful insights regarding awareness about plagiarism but also assist university authorities to formulate relevant policy and take necessary actions against plagiarism in higher education institutions.

Teachers' digital technology access to motivation, skills and use: a structural equation modeling study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Akhmad Habibi ◽  
Mohd Faiz Mohd Yaakob ◽  
Amirul Mukminin ◽  
Muhaimin Muhaimin ◽  
Lantip Diat Prasojo ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Digital Technology ◽  
Structural Equation ◽  
Structural Model ◽  
Teaching Experience ◽  
Equation Modeling ◽  
Technology Access ◽  
School Location ◽  
Content Type ◽  
Instructional Use

PurposeThe current study aimed to develop and validate a scale to model factors affecting digital technology access for instructional use. The scale was mainly used to assess the structural model. Besides, tests of difference were addressed regarding digital technology access for instructional use based on gender, teaching experience and school location.Design/methodology/approachThe authors implemented a survey design in this study. A scale based on prior studies was developed, validated and piloted. The pilot study data were computed for an exploratory factor analysis. Further, partial least squares structural equation modeling (PLS-SEM) and t-test procedures were used for the main data analysis (n.2677). The authors also included the importance-performance map analysis to extend of the results of the PLS-SEM.FindingsThe findings of the study successfully assessed the validity and reliability of the scale. All hypothetical relationships in the structural model were positively significant. The t-test results show that teaching experience and school location were significantly different regarding instructional use access; however, an insignificant difference emerged based on gender.Practical implicationsFailure in technology integration is possible if policies have not been carefully prepared. Therefore, users' perception is an essential factor in determining technology integration, including access to digital technology.Originality/valueThis research has the potential to enhance the understanding of access to digital technology in the context of developing countries by the elaboration of the proposed model's instrument development and validation, path analysis assessment and difference test examination with a large sample size. Also, the current study emphasizes the importance of raising awareness about digital technology access that the model can facilitate a valid and reliable foundation for future researchers interested in conducting similar types of research.

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