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Article
Publication date: 16 February 2015

Kenneth Wilburn Green, Lisa C. Toms and James Clark

This study aims to assess the impact of an established market orientation on the implementation of green supply chain practices and environmental performance.

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Abstract

Purpose

This study aims to assess the impact of an established market orientation on the implementation of green supply chain practices and environmental performance.

Design/methodology/approach

Data collected from 225 manufacturing managers are analyzed using a partial least squares structural equation modeling methodology.

Findings

Findings indicate that market orientation both directly and indirectly (through green supply chain management practices) impacts environmental performance.

Research limitations/implications

The study focuses on the impact of a market orientation on environmental sustainability within the manufacturing sector, thereby limiting generalization to other sectors.

Practical implications

Manufacturing practitioners are provided with information emphasizing the importance of implementing and maintaining a strong market orientation as a precursor to establishing an environmental sustainability strategy.

Social implications

The results have important societal implications, in that a marketing approach that leads to the more rapid adoption of environmental sustainability programs within the manufacturing sector is identified.

Originality/value

This is believed to be the first empirical investigation of the relationship between market orientation and environmental sustainability.

Details

Management Research Review, vol. 38 no. 2
Type: Research Article
ISSN: 2040-8269

Keywords

Article
Publication date: 21 September 2018

Kenneth W. Green, R. Anthony Inman, Victor E. Sower and Pamela J. Zelbst

The purpose of this paper is to empirically assess the complementary impact of JIT, TQM and green supply chain practices on environmental performance.

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Abstract

Purpose

The purpose of this paper is to empirically assess the complementary impact of JIT, TQM and green supply chain practices on environmental performance.

Design/methodology/approach

Data from a sample of 225 US manufacturing managers are analyzed using a PLS-SEM methodology.

Findings

JIT and TQM are directly and positively associated with green supply chain management practices. JIT, TQM and green supply chain practices are complementary in that combined they provide a greater impact on environmental performance than if implemented individually.

Research limitations/implications

The sample is limited to US manufacturing managers, with a low response rate.

Practical implications

Successful implementations of JIT and TQM improvement programs support the implementation of green supply chain management practices leading to improved environmental performance.

Social implications

The combination of JIT, TQM and green manufacturing practices improves the environment by eliminating all forms of waste and providing customers with eco-friendly products and services.

Originality/value

This study is one of the first to empirically assess the complementary impact of JIT, TQM and green supply chain practices within the context of environmental sustainability.

Details

Journal of Manufacturing Technology Management, vol. 30 no. 1
Type: Research Article
ISSN: 1741-038X

Keywords

Article
Publication date: 26 June 2019

Kenneth W. Green, R. Anthony Inman, Victor E. Sower and Pamela J. Zelbst

The purpose of this paper is to develop and empirically assess a comprehensive operations and supply chain management (SCM) model. The theorized model incorporates supply chain…

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Abstract

Purpose

The purpose of this paper is to develop and empirically assess a comprehensive operations and supply chain management (SCM) model. The theorized model incorporates supply chain market orientation, Just-in-Time (JIT) and Total Quality Management (TQM) as antecedents and agile production (AP) and green SCM (GSCM) practices as consequences.

Design/methodology/approach

Data from a sample of 136 US manufacturing managers were collected via an on-line survey firm. A partial least squares structural equation modeling is used to assess the efficacy of the theorized model.

Findings

Generally, market orientation supports the implementation of JIT and TQM, JIT and TQM support implementation of SCM, SCM supports implementation of AP and green supply chain management practices (GSCMP) and AP and GSCMP positively impact organizational performance.

Research limitations/implications

The model tested reflects the synergy created though the implementation of management improvement programs that support the six strategic imperatives of customer focus, efficiency, effectiveness, integration with supply chain partners, responsiveness, and environmental sustainability and the effects of those programs on the marketing and financial performance of manufacturing organizations.

Practical implications

The theorized model and results provide practicing managers with a blueprint for the systematic implementation of the improvement programs.

Originality/value

A comprehensive operations and SCM model is proposed and empirically assessed. The results of this investigation support the proposition that market orientation, JIT, TQM, SCM, AP and GSCMPs combine to positively affect organizational performance. The central role of the SCM construct is emphasized.

Details

Supply Chain Management: An International Journal, vol. 24 no. 5
Type: Research Article
ISSN: 1359-8546

Keywords

Article
Publication date: 2 November 2018

Laura M. Birou, Kenneth W. Green and R. Anthony Inman

The purpose of this paper is to examine the impact of sustainability training and knowledge on sustainable supply chain practices (SSCP) and the resulting impact on sustainable…

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Abstract

Purpose

The purpose of this paper is to examine the impact of sustainability training and knowledge on sustainable supply chain practices (SSCP) and the resulting impact on sustainable supply chain outcomes (SSCO) and firm performance. It also provides a valid and reliable measure of SSCO.

Design/methodology/approach

Data collected from 129 manufacturing managers are analyzed using a partial least squares structural equation modeling methodology. Manufacturing managers provide data reflecting the degree to which their organizations improved sustainability training and knowledge, utilize SSCP, the degree to which SSCO result, and the subsequent operational performance (OPP) and environmental economic performance (EEP).

Findings

Organizational sustainability training and knowledge positively impacts SSCP, and the utilization of SSCP results in SSCO which favorably impact OPP and EEP.

Research limitations/implications

The study is limited to manufacturing organizations.

Practical implications

Practitioners are encouraged to improve organizational learning and training and are provided with a valid and reliable scale for measuring the outcomes of their sustainable practices. Combined with the work of others, this provides a framework for evaluating different aspects of sustainability with a firm.

Social implications

Improved green manufacturing practices improves the environment by eliminating all forms of waste and provides eco-friendly products and services.

Originality/value

A sustainable supply chain training and knowledge model is proposed and empirically assessed. The results of this investigation support the proposition that sustainability training and knowledge support the implementation of sustainability supply chain practices which, in turn, improve sustainability outcomes and operational and EEP.

Details

Journal of Manufacturing Technology Management, vol. 30 no. 2
Type: Research Article
ISSN: 1741-038X

Keywords

Article
Publication date: 20 August 2021

R. Anthony Inman and Kenneth W. Green

Today's businesses are facing a world that is more complex, turbulent and unpredictable than in the past with increasing levels of environmental complexity. Rather than proposing…

1631

Abstract

Purpose

Today's businesses are facing a world that is more complex, turbulent and unpredictable than in the past with increasing levels of environmental complexity. Rather than proposing environmental uncertainty as a mediator/moderator of the relationship between agility and performance as others have done, the authors offer an alternative view where supply chain agility is seen as mediating the relationship between environmental uncertainty and supply chain performance.

Design/methodology/approach

The authors propose that supply chain agility is a response to the effects of environmental uncertainty and, as such, environmental uncertainty should be seen as a driver of supply chain agility. Few studies test the direct relationship between uncertainty and supply chain performance, and none simultaneously test for agility's mediation and moderation effect between environmental uncertainty and agility.

Findings

The model was statistically assessed using partial-least-squares structural equation modeling (PLS/SEM) by analyzing survey data from manufacturing managers in 136 US firms. The study results did not indicate a significant relationship between environmental uncertainty and supply chain performance. However, the authors did find a significant positive relationship between agile manufacturing and supply chain performance using measures that were primarily operations-centered rather than financial. Additionally, the authors found that agile manufacturing fully mediates the relationship between environmental uncertainty and supply chain performance.

Originality/value

The authors’ model, though simple, provides a base for future research for them and other researchers who can incorporate other impacting variables into the model. The study results show that uncertainty can be a force for good and that utilizing agile manufacturing can be a new source of opportunity.

Details

Journal of Manufacturing Technology Management, vol. 33 no. 2
Type: Research Article
ISSN: 1741-038X

Keywords

Article
Publication date: 20 April 2020

Christie Hough, Cameron Sumlin and Kenneth Wilburn Green

The purpose of this paper is to empirically assess the combined impact of the ethical environment, organizational trust and workplace optimism on individual performance.

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Abstract

Purpose

The purpose of this paper is to empirically assess the combined impact of the ethical environment, organizational trust and workplace optimism on individual performance.

Design/methodology/approach

A structural model is theorized and data from 250 individuals working for private organizations were analyzed using partial-least-squares structural equation modeling.

Findings

Both the ethical environment and organizational trust positively impact workplace optimism. Of the ethical environment, organizational trust and workplace optimism, only workplace optimism directly impacts individual performance. The impact of the ethical environment and organizational trust on individual performance is indirect through workplace optimism.

Research limitations/implications

To the authors’ knowledge, this is the first empirical study to assess the combined impact of the ethical environment, organizational trust and workplace optimism on individual performance. It is important to conduct similar studies to verify these findings.

Practical implications

An ethical environment and organizational trust foster high levels of workplace optimism that in turn lead to improved employee performance.

Originality/value

The important role that workplace optimism plays within the ethical climate of organizations is theorized and assessed. This is the first empirical assessment of the mediational role of workplace optimism on the established relationships between ethical environment and individual performance, and organizational trust and individual performance.

Details

Management Research Review, vol. 43 no. 9
Type: Research Article
ISSN: 2040-8269

Keywords

Article
Publication date: 8 October 2019

Pamela J. Zelbst, Kenneth W. Green, Victor E. Sower and Philip L. Bond

The purpose of this paper is to assess the combined impact of radio frequency identification (RFID), Industrial Internet of Things (IIoT) and Blockchain technologies on supply…

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Abstract

Purpose

The purpose of this paper is to assess the combined impact of radio frequency identification (RFID), Industrial Internet of Things (IIoT) and Blockchain technologies on supply chain transparency (SCT).

Design/methodology/approach

Data from 211 US manufacturing managers is analyzed using a covariance-based structural equation modeling methodology.

Findings

The structural model fits the data relatively well. RFID technology directly and positively impact both IIoT and Blockchain technologies which, in turn, directly and positively impact SCT. RFID technology indirectly affects SCT through both IIoT technology and Blockchain technology.

Research limitations/implications

This study is the first to empirically assess the impact of RFID, IIoT and Blockchain technologies on SCT. First-wave empirical studies must be replicated to support generalization of the findings.

Practical implications

This study provides empirical evidence to support the implementation of a combination of RFID, IIoT and Blockchain technologies as infrastructure necessary to achieve end-to-end SCT.

Originality/value

New measurement scales for IIoT technology utilization and Blockchain technology utilization are developed and assessed for validity and reliability. This is the first study to assess the combined impact of RFID, IIoT and Blockchain technologies on SCT.

Details

Journal of Manufacturing Technology Management, vol. 31 no. 3
Type: Research Article
ISSN: 1741-038X

Keywords

Article
Publication date: 11 October 2023

Pamela J. Zelbst, Liu Yang, Kenneth W. Green and Victor E. Sower

The purpose of this paper is to assess the combined impact of the Industry 4.0 blockchain and industrial internet of things technology (IIoT) technologies on the development of…

Abstract

Purpose

The purpose of this paper is to assess the combined impact of the Industry 4.0 blockchain and industrial internet of things technology (IIoT) technologies on the development of supply chain linkages associated with power, benefits and risk reduction and the ultimate impact of the linkages on supply chain performance.

Design/methodology/approach

A structural model with blockchain and IIoT as antecedents to the supply chain power, benefits and risk reduction linkages and the linkages as antecedent to supply chain performance is theorized. Data collected from 303 US manufacturing managers are analyzed using a covariance-based structural equation modeling (CB/SEM) methodology.

Findings

The CB/SEM results indicate that blockchain technology does not directly impact implementation of the linkages. Rather, implementation of blockchain technology supports implementation of IIoT technology, which strengthens supply chain linkages, thereby improving supply chain performance.

Research limitations/implications

To the best of the authors’ knowledge, this study is one of the first to provide empirical evidence that Industry 4.0 technologies such as blockchain and IIoT strengthen linkages among supply chain partners related to power, benefits and risk reduction and that those stronger linkages lead to improved supply chain performance. It should be noted that this study is based on data from managers representing only one sector (manufacturing) and one country (USA). Replication based on data from other sectors and countries is needed to support generalization of the results.

Practical implications

Practitioners are provided with empirical evidence that the implementation of Industry 4.0 technologies such as blockchain and IIoT support supply chain management. These technologies facilitate data and information sharing among supply chain partners, enabling the integration and coordination of business processes throughout the entire supply chain.

Social implications

The ultimate customers of supply chains benefit when supply chain partners work together efficiently and effectively. The implementation of blockchain and IIoT digital technologies lead to improve linkages among supply chain partners driving improvements in both efficiency and effectiveness, thus benefiting customers and society.

Originality/value

Industry 4.0 technologies are relatively new with the promise of improved supply chain performance. The efficacy of Industry 4.0 technologies as mechanisms to enhance information sharing is demonstrated based on the results of this study.

Details

Supply Chain Management: An International Journal, vol. 29 no. 1
Type: Research Article
ISSN: 1359-8546

Keywords

Article
Publication date: 15 February 2024

Cameron Sumlin, Mauro J. J. De Oliveira, Richard Conde and Kenneth W. Green

The purpose of this study is to determine whether the implementation of a performance management system comprising some traditional management practices (management process and…

Abstract

Purpose

The purpose of this study is to determine whether the implementation of a performance management system comprising some traditional management practices (management process and organizational behavior modification) lead to an ethical organizational environment and improved employee performance.

Design/methodology/approach

A structural model is theorized and assessed using data from samples of full-time employees in the USA and Brazil. Partial least squares–structural equation modeling is used.

Findings

The findings of this study suggest that management process and organizational behavior modification directly and positively impact the ethical environment, and the ethical environment directly and positively impacts employee performance. The management process and organizational behavior modification indirectly impact employee performance through an ethical environment.

Research limitations/implications

Although this theorized model was tested and provided significant results for implementing the management practices suggested, it is strongly recommended that other random data samples be used to analyze the theorized model and assess to reconfirm the results. In addition, incorporating the ethical environment construct within a larger model that includes other potential antecedents, such as management principles, and other potential outcomes, such as organizational commitment, job satisfaction and workplace optimism, is recommended.

Practical implications

This study provides management practitioners with empirical evidence that implementing a performance management system consisting of the management process and organizational behavior modification will enhance both the ethical environment and organizational trust, which, in turn, will lead to improved individual employee performance. Based on the theoretically and statistically supported framework, managers can improve the performance of their subordinates. The results further support the assertions that managers must implement the management process along with organizational behavior modifications to improve employee performance through an ethical environment and organizational trust

Social implications

The general conclusion from this study is that good management practices in the form of the management process and organizational behavior modification are inherently ethical. Furthermore, when implemented and consistently maintained by managers, these practices will result in an organizational environment that supports ethical behavior and engenders a high level of trust. The results of this study demonstrate a significant contribution to the existing literature, in that good management is tied, in fact, directly to ethics and trust.

Originality/value

The results provide evidence that good management in the form of the management process and organizational behavior modification yields both a positive ethical environment and improved employee performance. Practitioners are provided with evidence that reaffirms the need to define expectations for employees and to provide the necessary resources and positive reinforcement to fulfill the expectations. This study is one of the first to directly assess the impact of traditional management practices on an ethical environment.

Details

International Journal of Organizational Analysis, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1934-8835

Keywords

Article
Publication date: 1 January 2024

R. Anthony Inman, Kenneth W. Green and Matthew D. Roberts

The purpose is to replicate and extend Ambulkar et al.’s (2015) work testing resource reconfiguration as a mediator of the supply chain disruption/firm resilience relationship and…

Abstract

Purpose

The purpose is to replicate and extend Ambulkar et al.’s (2015) work testing resource reconfiguration as a mediator of the supply chain disruption/firm resilience relationship and testing risk management infrastructure as a moderator. This study extends the work of Ambulkar in that it uses analysis of survey data gathered from manufacturing firms during an actual disruption event (COVID-19). The previous work is also in extended in that the authors include a pandemic disruption impact variable and supply chain performance is an expanded model.

Design/methodology/approach

Partial least squares structural equation modeling techniques were used to analyze data gathered from 184 US manufacturing managers during the height (Summer 2021) of the COVID-19 pandemic.

Findings

Two of four of Ambulkars et al.’s (2015) hypotheses were confirmed as relevant to firm resilience during the pandemic while two were not confirmed. Results also show that supply chain disruption orientation, risk management infrastructure and resource reconfiguration combine to improve firm resilience, which in turn improves supply chain performance while mitigating the disruption impact of COVID-19.

Originality/value

Previous work is replicated and extended, using data from an actual disruption event (COVID-19). This study presents a more comprehensive model using a newly developed and validated scale to measure pandemic impact and including supply chain performance.

Details

Supply Chain Management: An International Journal, vol. 29 no. 2
Type: Research Article
ISSN: 1359-8546

Keywords

1 – 10 of over 1000