• Eco-innovation and the circular economy in the automotive industry

      Maldonado-Guzman, G., Garza-Reyes, J.A., Pinzón-Castro, S.Y.; Universidad Autónoma de Aguascalientes, Aguascalientes, Mexico; University of Derby (Emerald, 2020-10-27)
      Circular economy is emerging as a new sustainability paradigm. Similarly, eco-innovation is being recognized as one of the most important mechanisms that allow the transition from a linear to a circular economy in production processes, as there is a strong relationship between eco-innovation (eco-innovation of products, processes and management) and circular economy activities. However, the relationship between eco-innovation and circular economy is an issue that has been isolated and little analyzed in the academic literature. Therefore, this research fills this gap by exploring the interdependence between eco-innovation and circular economy. The research is conducted through an extensive literature review from where a research framework consisting of 2 measurement scales, 18 items and three hypotheses were developed. A self-administered questionnaire was distributed and 460 responses were obtained from companies in the automotive and auto parts industry in Mexico. The data obtained were analyzed through confirmatory factor analysis, descriptive statistics and Structural Equation Modelling. The results suggest that eco-innovation of products, process and management has a significant positive impact on the circular economy of companies in the automotive and auto parts industry. The findings of this research can inform managers in the automotive sector and policy makers when formulating and deploying environmentally sustainable strategies. This paper fills a research gap by expanding the limited body of knowledge that relates eco-innovation and circular economy and providing some evidence of their relationship. The research also allows the unique characteristics of eco-innovation and the circular economy to be understood within a particular context, growing in this manner the body of knowledge on this field.
    • Eco-innovation practices’ adoption in the automotive industry

      Maldonado-Guzman, G; Garza-Reyes, Jose Arturo; University of Derby (Emerald, 2020-02-22)
      Eco-innovation is a construct that is gaining increasing interest from academics and researchers since it is commonly considered in the literature as one of the strategies that allow manufacturing companies not only to significantly reduce the negative impacts on the environment but also the generation of pollutants. However, little is known about the adoption of eco-innovation practices in manufacturing companies, particularly in the automotive industry. Therefore, this research has as main objective to fill this gap in the literature and explore the interdependence between eco-innovation of products, processes and management. The study is conducted through a research framework consisting of 3 measurement scales, 14 items and 3 hypotheses and an extensive review of the literature. A self-administered questionnaire was distributed to a sample of 460 companies in the automotive and auto parts industry in Mexico. Data were analyzed through Confirmatory Factor Analysis, Descriptive Statistics and Structural Equation Modelling. The results obtained show that product eco-innovation, process eco-innovation and management eco-innovation are good indicators for the adoption of eco-innovation practices for companies in the automotive and auto parts industry. The paper addresses a research gap in the academic literature in the eco-innovation field by providing evidence on the interdependence between eco-innovation of products, processes and management and the implementation of their practices in the automotive industry.
    • Editorial: Seeing green: Achieving environmental sustainability through lean and six sigma

      Garza-Reyes, Jose Arturo; Kumar, Vikas; Chen, Frank, F.; Wang, Yi-Chi; University of Derby; University of West England (Emerald, 2017-01)
    • The effect of lean methods and tools on the environmental performance of manufacturing organisations.

      Garza-Reyes, Jose Arturo; Kumar, Vikas; Chaikittisilp, Sariya; Tan, Kim Hua; University of Derby; University of the West of England; University of Warwick; University of Nottingham (Elsevier, 2018-04-01)
      Evidence suggests that lean methods and tools have helped manufacturing organisations to achieve operational excellence, and in this way meet both traditional and contemporary organisational objectives such as profitability, efficiency, responsiveness, quality, and customer satisfaction. However, the effect of these methods and tools on environmental performance is still unclear, as limited empirical research has been conducted in this field. This paper therefore investigates the impact of five essential lean methods, i.e. JIT, autonomation, kaizen/continuous improvement, total productive maintenance (TPM) and value stream mapping (VSM), on four commonly utilised measures for the compliance of environmental performance, i.e. material use, energy consumption, non-product output, and pollutant releases. A correlation analysis modelled the relationship and effect of these lean methods on the environmental performance of 250 manufacturing organisations around the world. Structural equation modelling (SEM) was used as a second pronged verification approach to ensure the validity of the results. The results indicate that TMP and JIT have the strongest significance on environmental performance, whereas kaizen/continuous improvement only showed an effect on the use of materials and release of pollutants. Autonomation and VSM did not show any impact on environmental performance. The research holds important implications for industrialists, who can develop a richer knowledge on the relationship between lean and green. This will help them formulate more effective strategies for their simultaneous or sequential implementation. The paper extends our knowledge in the lean and green field by helping us to establish and explain the given relationships between five of the most important and commonly used lean methods and the environmental performance of manufacturing organisations. No previous research had considered the studied lean methods and environmental measures of performance.
    • The effect of supply chain management practices on supply chain and manufacturing firms’ performance

      AL-Shboul, Moh’d Anwer; Barber, Kevin D.; Garza-Reyes, Jose Arturo; Kumar, Vikas; Abdi, Reza; German-Jordanian University; University of Bradford; University of Derby; University of West England (Emerald, 2017-05)
      Purpose – This paper theorises and develops seven dimensions (strategic supplier partnership, level of information sharing, quality of information sharing, customer service management, internal lean practices, postponement and total quality management) into a SCM practices (SCMPs) construct and studies its causal relationship with the conceptualised constructs of supply chain performance (SCP) and manufacturing firms’ performance (MFP). The study also explores the causal relationship between SCP and MFP. Design/Methodology/Approach – Data was collected through a survey questionnaire responded by 249 Jordanian manufacturing firms. The relationships proposed in the developed theoretical framework were represented through three hypotheses: H1: there is a significant relationship between SCMPs and SCP; H2: there is a significant relationship between SCMPs and MFP; and H3: there is a significant relationship between SCP and MFP. Linear regression, ANOVA and Pearson correlation were used to test the hypotheses. The results were further validated using structural equation modelling (SEM). Findings – The results indicate that SCMPs have a positive effect on SCP (H1), which in turn also positively affect MFP (H3). Despite this intermediary positive effect of SCMP on MFP through SCP, the study also suggests that SCMPs have a direct and positive effect on MFP (H2). Practical Implications – This study provides hard evidence indicating that higher levels of SCM practices can lead to enhanced supply chain and firms’ performance. It also provides SC managers of manufacturing firms with a multi-dimensional operational measure of the construct of SCMPs for assessing the comprehensiveness of the SCM practices of their firms. Originality/Value – This study is among the very first SCM researches conducted on the Jordanian manufacturing sector, particularly, in relation to the practices that manufacturing firms in this country need to adopt to make their supply chains a solid competitive vehicle for their development. The results have broader implications for all manufacturing companies, particularly in developing economies where the growth of manufacturing and the development of integrated supply chains are key stages in economic development.
    • An empirical analysis of supply and manufacturing risk and business performance: a Chinese manufacturing supply chain perspective.

      Kumar, Vikas; Guo, Ruizhi; Shaw, Sarah Louise; Colicchia, Claudia; Garza-Reyes, Jose Arturo; Kumari, Archana; Bak, Ozlem; University of the West of England; University of Warwick; University of Hull; et al. (Emerald, 2018)
      Purpose – This study aims to explore the importance and impact of supply and manufacturing risk management upon business performance within thecontextofChinesemanufacturingsupplychains. Design/methodology/approach – A two-phased multi-method approach was adopted, which included a survey questionnaire to practitioners in Chinese manufacturing supply chains followed by semi-structured interviews. The findings included 103 valid survey responses complemented by six semi-structuredinterviews. Findings – The results indicate that in Chinese manufacturing context supply risk and manufacturing risk management are both vital for business performance. A high correlation between business and manufacturing risk management performance exists; however, no significant impact of supplier dependency, systematic purchasing, maturity of production and supply chain and human resources was found despite previously these elements being regarded as key influencers for supply and manufacturing risk management performance. The Chinese manufacturing supply chain indicated that elements such as the supplier and customer orientation, flexibility, manufacturing and supply risk highly connotes with business performance. Practical implications – In the current unpredictable and volatile business environment, the competitiveness of manufacturing supply chains to a large extent depend on their ability to identify, assess and manage the manufacturing and supply risks. The findings of this study will assist supply chain managersintakingdecisiononmanufacturing andsupplyrisk managementandreducing theuncertaintyupontheirbusiness performance. Originality/value – The supply chain risk has been widely explored within the context of individual case studies, or standalone models focusing on either supply or manufacturing risk in supply chains; however, to what extent this has been applicable to a wider context and its impact upon business process has not been explored. Hence, this study simultaneously has analysed manufacturing risk and supply risk and its impact upon Chinese manufacturing supply chains business performance. Moreover, this study uses a combination of quantitative and qualitative methods, which is often limited in this area. Finally, the institutional theory lens offers novel insights in better understanding the factors that can affect the impact of supply and manufacturing risk management upon business performance in those contexts, such as China, where the institutional aspect presents specific features.
    • An Empirical Examination of Benefits, Challenges, and Critical Success Factors of Industry 4.0 in Manufacturing and Service Sector

      Sony, M; Antony, J; McDermott, O; Garza-Reyes, Jose Arturo; Namibia University of Science and Technology, Windhoek, Namibia; Department of Industrial and Systems Engineering, Khalifa University, Abu Dhabi, United Arab Emirates; College of Engineering an Science, National University of Ireland, Gallway, Ireland; University of Derby (Elsevier, 2021-09-20)
      Industry 4.0 marks a new paradigm and has expanded its domain from theoretical concepts to real-world applications. Industry 4.0 is, however, still in the state of infancy and conceptual state wherein it is not clear as to how to incorporate many dynamic technological concepts in different sectors. Previous studies have conceptually delineated the benefits, challenges, and CSFs of Industry 4.0, however, there is yet to be an empirical study that critically examines the differences in benefits, challenges, and critical success factors (CSFs) of Industry 4.0 in both manufacturing and service industries and rank them. This study through an online survey captures the view of senior management professionals who have experience in Industry 4.0 implementation in major companies in Asia, Europe, and North America. 96 senior management professionals participated in this study through an online survey. The qualitative data on benefits and challenges were analysed using thematic analyses. The quantitative data on critical success factors were ranked using the normalisation of the mean to find the most important factors. Further agreement analysis was conducted in the manufacturing and service sectors for the CSFs. This study identifies the top five benefits and challenges in the manufacturing and service industries. The CSFs for Industry 4.0 was put forward and ranked in both the manufacturing and service industries.
    • Enhancing resiliency of perishable product supply chains in the context of the COVID-19 outbreak

      Shanker, S; Barve, A; Mudulib, K; Kumar, A; Garza-Reyes, Jose Arturo; Maulana Azad National Institute of Technology, Bhopal, India; Papua New Guinea University of Technology, Lae, Morobe Province, Papua; London Metropolitan University; University of Derby; Doon University, India (Taylor and Francis, 2021-03-02)
      Globally, countries are struggling to fulfil customer demands due to the effects of the COVID-19 pandemic on perishable food supply chains (PFSCs). This study aims to analyse the factors influencing PFSCs during the pandemic and improve their resiliency. This is essential as some factors discourage the productive execution of PFSCs and decrease organizational performance, thus lowering stakeholder satisfaction. This study has been conducted in two phases. The first phase, through extensive review and discussion with experts, identifies the influencing factors related to supply chain (SC) disturbances in PFSCs. In the second phase, a hybrid method i.e. g-DANP, a combination of grey-decision making trial and evaluation laboratory and analytic network process, is employed to develop a hierarchical structure to measure their influence. The proposed framework is validated with a case of the current COVID-19 outbreak. The study revealed that factors, restriction on import-export and fear of violation of social distancing guidelines, are the primary “cause” group factors; whereas, price variation of perishable products and panic buying and stockpiling are the crucial “effect” group factors affecting the PFSCs. The findings also enrich existing literature by providing analytical support to relationships between various factors affecting PFSCs during the pandemic. The results of this study can be utilised by decision-makers to anticipate the operative and long-haul effects of COVID-19 on PFSCs and create plans to deal with the pandemic.
    • Environmental, social and economic growth indicators spur logistics performance: from the perspective of South Asian Association for regional cooperation countries.

      Khan, Syed Abdul Rehman; Jian, Chen; Zhang, Yu; Golpîra, Hêriş; Kumar, Anil; Sharif, Arshian; School of Economics and Management, Tsinghua University, Beijing, China; School of Economics and Management, Chang'an University, Xi'an, Shaanxi, 710064, China; Department of Industrial Engineering, Sanandaj Branch, Islamic Azad University, Sanandaj, Iran (Elsevier., 2019-01-04)
      This article examines the association between green logistics operations, social, environmental and economic indicators of SAARC (South Asian Association for Regional Cooperation) countries. The research used GMM (Generalized Method of Moments) and FGLS (Feasible Generalized Least Squares) two methods to tackle the problems of heterogeneity, serial correlation and heteroskedasticity. The findings show that fossil fuel consumption is at the heart of logistics operations; the more fossil fuel and non-green energy resources that are used, the more negative effects on society and environmental sustain-ability result from this. A lower quality of transport-related infrastructure and logistics services is negatively correlated with fossil fuel usage, carbon emissions, health expenditure, greenhouse gas emissions and political instability of SAARC countries. Conversely, efficient customs procedures and greater information sharing among supply chain partners increase trade opportunities and also improve environmental sustainability in terms of minimum carbon emissions due to the shorter waiting and queue times involved. Further, the application of green energy resources and green practices can mitigate negative effects on social and environmental sustainability due to better logistics operations while improving financial performance in terms of higher GDP per capita, trade openness and greater export opportunities around the globe. As there is very limited research using green practices relationship with macro-level indicators in current literature, this research will assist both practitioners and policy makers to understand the roles of green supply chain and green logistics in enhancing environmental sustain-ability, social improvement and economic growth for a better future.
    • Evaluating innovation capabilities of real estate firms: a combined fuzzy delphi and dematel approach.

      Kumar, Anil; Kaviani, Mohamad Amin; Hafezalkotob, Ashkan; Zavadskas, Edmundas Kazimieras; University of Derby; Islamic Azad University, Shiraz, Iran; Islamic Azad University, Shiraz, Iran; Vilnius Gediminas Technical University; BML Munjal University; Islamic Azad University; et al. (Taylor and Francis., 2017-12-20)
      Due to strong competition, numerous technology advancements and the monetary policy of the government, the survival of Indian real estate firms now depends on their capacity to measure their existing innovation capabilities, rebuild them and adopt new ones. The aim of this study is to evaluate the technology and human resources innovation capabilities of Indian real estate firms by applying fuzzy Delphi and DEMATEL techniques. After identifying the innovation capabilities through an extensive literature review, a questionnaire is designed based on fuzzy linguistic scales to manage any vagueness of information received. Data has been collected from experts in the field, with capabilities then finalized by using a fuzzy Delphi method. To establish cause-effect relationships among capabilities, a DEMATEL method is applied to the data collected from a second questionnaire. Analysis of the data divides capabilities into two groups i.e. cause and effect. The results show that innovation management, robustness of product and process design capability, strategic planning and knowledge resources fall in the cause group; these are critical findings given the effect on the other capabilities. The study outcomes can help real estate firms to enhance their capabilities with the proposed model providing guidelines and direction in this regard.
    • Evaluating Key Capabilities for Developing Global Collaborative Networks Using a Multi-Layer Decision-Making Approach

      Mahdiraji, H.A.; Hafeez, K; Kamardi, A.A.A.; Garza-Reyes, Jose Arturo; De Montfort University; University of Tehran, Tehran, Iran; University of Derby (Emerald, 2021-07-07)
      This paper proposes a multi-layer hybrid decision-making approach to evaluate the capability alternatives for developing a collaborative network to operate in the international market. The present study is contextualised in the Iranian pistachio export industry. An extensive review of the state-of-the-art literature on supplier collaboration was conducted to identify key capabilities that are essential to establish a collaborative network. The set of defined capabilities were then optimised through interviews with 14 experts from the relevant industry, academics and export authorities. A combination of the fuzzy Delphi method and the best–worst method (BWM) approach was, respectively, used to reduce the number of capability alternatives and assign priority weights to these alternatives. Subsequently, a weighted aggregated sum product assessment method (WASPAS) was employed to rank and evaluate the ability to creating a collaborative network for the export of pistachio. From the extant literature review, 18 capabilities for the formation of coordination networks in the international markets were identified. Then, the prominent indicators in forming a global network were extracted. After ranking the top pistachio export countries/regions to formalise an efficient collaborative network, it was revealed that although Iran exports approximately 30% of the global market, it falls behind the USA and European Union. The competitors have scored higher in critical criteria, including “trust and commitment”, “strategy and management”, “managerial control and standardization” and “financial resources”. The proposed hybrid approach encompassing fuzzy Delphi–BWM–WASPAS offers to solve the capability evaluation and selection as well as ranking the possible alternative to formalise a collaborative network in an integrated fashion. This combination of methods is capable to first identify the most important factors, then measuring their importance and eventually rank the possible alternatives. The suggested framework provides an approach to deal with the uncertainty of global collaborative network formation.
    • Evaluating the human resource related soft dimensions in green supply chain management implementation

      Kumar, Anil; Kumar Mangla, S; Luthra, Sunil; Ishizaka, Alessio; University of Derby; University of Plymouth; Government Polytechnic, Jhajjar-124103; University of Portsmouth (Taylor and Francis, 2019-04-25)
      Due to increased carbon emissions, environmental protection initiatives have gained significant attention at global level. One of the major initiatives taken by the industrial sector to minimise the negative environmental effect of the value chain activities is Green Supply Chain Management (GSCM). In industry, soft (human resource-related) dimensions influence the implementation of GSCM process greatly. In the literature, relatively less discussion is provided on assessing the significance of soft dimensions in efficient GSCM acceptance in industry. The present work is an attempt to construct a structural framework for assessing the significance of the soft dimensions in adopting GSCM concepts by taking a case of automotive company in India. A hybrid approach of Best Worst Method (BWM) and Decision-Making Trial and Evaluation Laboratory (DEMATEL) approach is employed in this work. BWM is used to prioritize the GSCM oriented soft dimensions, and DEMATEL is employed to extract interrelationships among them. The result shows that ‘Top management commitment’, ‘Employee involvement’, ‘Organizational culture’ and ‘Teamwork’ are the highly prioritized causal soft dimensions in efficient GSCM adoption. This research work would help industry managers and practitioners to decide where to concentrate for GSCM concepts in context of soft dimensions for sustainable business development.
    • Evaluating the impact of lean practices on environmental performance: evidences from five manufacturing companies

      Dieste, M; Panizzolo, R; Garza-Reyes, J. A.; University of Derby; University of Padova, Italy (Taylor and Francis, 2019-10-29)
      Previous evidence suggests that both lean and green production paradigms are focused on waste reduction and that lean practices help organizations to enhance sustainability objectives, and particularly environmental performance. However, the impact of lean practices on the environment is still unclear. This study therefore aims to analyse the relationship between lean and environmental performance in manufacturing with a strong empirical focus. This research was conducted in two main stages: first, an extensive review of the relevant literature was carried out, followed by a multiple case study analysis conducted in five manufacturing companies. Onsite data were collected from the firms during a five years’ time span of research and developing semi-structured interviews. Furthermore, a cross-case analysis was carried out to map the results. Findings indicate that the environmental performance of the companies analysed is generally enhanced in the long-term after the implementation of lean. Moreover, the results from the multiple case study suggest that the environmental performance of the firms under analysis is mainly improved by using JIT and TQM practices in a lean transformation context. The research findings provide further results remarking the possible negative impact of practices such as Kanban deliveries, 5S and TPM on various environmental performance indicators.
    • Examining legitimatisation of additive manufacturing in the interplay between innovation, lean manufacturing and sustainability.

      Ghobadian, Abby; Talavera, Irene; Bhattacharya, Arijit; Kumar, Vikas; Garza-Reyes, Jose Arturo; O'Regan, Nicholas; University of Reading; University of East Anglia; University of the West of England; University of Derby (Elsevier, 2018-06-04)
      In response to hypercompetition, globalisation and increasing consumer expectations, many manufacturing firms have embraced lean manufacturing (LM). The primary goal of LM is to reduce/eliminate waste (muda). There is broad consensus as to what constitutes waste, but not on LM implementation. Implementation is not prescriptive with each firm relying on a different combination of administrative, process and routine change / innovation. Lean manufacturing brings about incremental change relying on administrative, process and routine levers. It best fits mass production where process variability is low and demand is high and stable. Lean manufacturing can significantly reduce waste but not eliminate waste, and the attained benefits have not always lived up to expectations. Additive manufacturing (AM) promises to revolutionise manufacturing beyond recognition by eliminating or drastically removing the waste thereby achieving sustainability. But AM is at its formative stage – the space between the concept and growth - where many promising breakthrough technologies fail. To reach its full potential, it needs to achieve high-scale adoption. In this paper, we examine how AM can significantly reduce/eliminate waste and how it can deliver triple bottom line on an unprecedented scale. We contend that AM, if adopted deeply and widely, will take LM to its final frontier, but there are a number of impediments to this end. We identify legitimation as critical to its wide diffusion and develop a number of propositions expediting AM’s legitimation. Legitimation of AM will ensure its deep and broad diffusion and should this happen, waste will be a thing of the past an important stride towards sustainable future.
    • Exploration and Investigation of Green Lean Six Sigma Adoption Barriers for Manufacturing Sustainability

      Kaswan, Mahender Singh; Rathi, Rajeev; Garza-Reyes, Jose Arturo; Antony, Jiju; Lovely Professional University, Punjab, India; University of Derby; Khalifa University, Abu Dhabi, UAE (IEEE, 2021-09-16)
      The increased awareness about effect of operations on sustainability dynamics and governmental pressure to cut emission rates has forced industries to adopt sustainable approaches like Green Lean Six Sigma (GLSS). Despite increasing interest in GLSS, very limited research has focused on its implementation and no research has investigated barriers that hinder GLSS execution. This study investigates GLSS implementation barriers, their relationship, and removal of same in manufacturing sector. In this research, 18 GLSS barriers have been recognized through literature review and formulated into logical groups using principal component analysis. This study pioneers with decision making trial and evaluation laboratory (DEMATEL) with intuitionistic fuzzy set to prioritize barriers and handle the important and causal relationship among the same. The results of the study were validated through intuitionistic fuzzy best worst method (IF-BWM). The results reveal that management-related barriers are the top-ranked followed by environmental and organization barriers with BWM weights 0.5283, 0.1704, and 0.1035 respectively. This provides impetus to policymakers for induction of GLSS in business organization to make harmony between economic development and environmental sustainability.
    • Exploration and Prioritization of Just in Time Enablers for Sustainable Healthcare: An Integrated GRA-Fuzzy TOPSIS Application

      Singh Kaswan, Mahender; Rathi, Rajeev; Singh, Mahipal; Garza-Reyes, Jose Arturo; Antony, Jiju; Lovely Professional University, Phagwara, India; University of Derby; Heriot-Watt University, Edinburgh (Emerald, 2021-06-21)
      The increased healthcare costs, improved service quality, and sustainability-oriented customer demand have forced the healthcare sector to relook their current process. The present work deals with the identification, analysis, and prioritization of Just in Time (JIT) enablers in the healthcare sector. JIT leads to waste reduction, improves productivity, and provides high quality patient care. The practical implementation of JIT depends on vital factors known as enablers. The enablers have been found through the comprehensive literature review and prioritized using responses from different healthcare facilities of national capital region of India. Grey Relational Analysis (GRA) has been used in the present study to rank enablers and ranks were further validated using fuzzy TOPSIS and sensitivity analysis. It has been found that top management support, teamwork, and real-time information sharing are the most significant enablers of JIT in healthcare with grey relational grades 0.956, 0.832, and 0.718, respectively. The corresponding closeness coefficients of the fuzzy TOPSIS for the enablers were found as 0.875, 0.802, and 0.688, respectively. The findings of the present research work will facilitate the healthcare organizations to implement a comprehensive JIT approach that further leads to improved patient care at low cost. The present study is unique in terms of the exploration of the readiness measures or enablers of JIT using GRA and fuzzy TOPSIS. The findings of the present research work will facilitate the healthcare organizations to optimize their resources for better patient care.
    • Exploring industry 4.0 technologies to enable circular economy practices in a manufacturing context: a business model proposal.

      Nascimento, D.L.M; Alencastro, V; Quelhas, O.L.G; Caiado, R.G.G; Garza-Reyes, Jose Arturo; Tortorella, G.L; Federal Fluminense University; Pontifical Catholic University of Rio de Janeiro; University of Derby; National Polytechnic Institute (CINVESTAV); et al. (Emerald, 2018-10)
      Purpose - The purpose of this study was to explore how rising technologies from Industry 4.0 can be integrated with circular economy (CE) practices to establish a business model that reuses and recycles wasted material such as scrap metal or e-waste Design/methodology/approach – The qualitative research method was deployed in three stages. Stage one was a literature review of concepts, successful factors, and barriers related to the transition towards a CE along with sustainable supply chain management, smart production systems, and additive manufacturing. Stage two comprised a conceptual framework to integrate and evaluate the synergistic potential among these concepts. Finally, stage three validated the proposed model by collecting rich qualitative data based on semi-structured interviews with managers, researchers, and professors of operations management to gather insightful and relevant information. Findings – The outcome of the study is the recommendation of a circular model to reuse scrap electronic devices, integrating web technologies, reverse logistics, and additive manufacturing to support CE practices. Results suggest a positive influence from improving business sustainability by reinserting waste into the supply chain to manufacture products on demand. Research implications/originality – The impact of reusing wasted materials to manufacture new products is relevant to minimizing resource consumption and negative environmental impacts. Furthermore, it avoids hazardous materials ending up in landfills or in the oceans, seriously threatening life in ecosystems. In addition, reuse of wasted material enables the development of local business networks that generate jobs and improve economic performance.
    • Exploring lean manufacturing practices' influence on process innovation performance

      Möldner, A.K., Garza-Reyes, J.A., Kumar, V.; University of Derby (Elsevier, 2018-10-17)
      Little is known about the effects of lean manufacturing practices on the process innovation performance of manufacturing organisations. This research aims to fill this gap and explore the aforementioned interdependency. A research framework consisting of 22 measurement scales and three pairs of hypotheses was developed based on an extensive literature review. A large-scale self-administered questionnaire was distributed among appropriately selected industrial experts. Datasets obtained from 340 usable responses were analysed through confirmatory factor analysis, descriptive statistics, correlations, and multiple linear regression models. The findings suggest that both technical and human lean practices have a moderate to strong positive impact on the input and occurrence of incremental and radical process innovation in manufacturing organisations. In turn, as an output of process innovation, this appears to enhance companies' operational performance. Thereby, the results dispel the scholarly and managerial misconception that LM and innovation are difficult to coexist.
    • Exploring the Challenges of Electric Vehicle Adoption in Final Mile Parcel Delivery

      Anosike, Anthony; Loomes, H; Udokporo, C.K.; Garza-Reyes, Jose Arturo; University of Derby (Taylor & Francis, 2021-09-23)
      The rise in e-commerce has increased last mile parcel deliveries, in turn affecting the sustainability of transport. With the worldwide efforts to minimise fossil fuel use including the UK Government's plans to end the sales of new petrol and diesel vehicles by 2035, alternative fuels need to be explored. Currently one of the most promising solutions is the electric vehicle which produces zero tailpipe emissions. This paper aims to explore the challenges of adopting Electric Vehicles (EVs) in final mile parcel deliveries, and thus identify potential directions for future research. To achieve this, we developed a systematic literature review to better understand the nature of these challenges and to provide a background from which to acquire more information from leading logistics companies in the form of in-depth interviews. We found that the companies encountered different challenges based on their fleet sizes, schedule and capacity to implement the required structural and infrastructural changes to support the efficient running of their last mile delivery operations on EVs.
    • Facilitating students’ (doctoral) transition to the workplace: A critical review

      Upadhyay, A., Kumar, V., Garza-Reyes, J.A.; University of Derby (Routledge, 2019-05-21)
      The recent ongoing changes to the UK higher education sector have put immense pressure on both academics and students. Where academics are working hard to enhance the quality of the educational product, students, on the other hand, are struggling with the rising tuition fees and the challenging labour market. As a result securing a good job after graduation depends on how a student has managed to excel in gaining experience beyond the classroom and developing key skills through their time at university. This becomes particularly challenging in the current era, where globalisation brings further challenges and opportunities to the university sector, to seize the market advantages for those establishments able to respond in a timely and flexible way with appropriate innovation and internationalisation strategies. Doctoral researchers are an integral part of the student community. Hence it is important that universities assure the successful transition of these doctoral students to their workplace and externally. This study, therefore, attempts to provide a critical review on facilitating the doctoral students’ transition to the workplace through doctoral research positions and the role played by their PhD supervisors. The study methodology uses existing literature and interviews with students and faculty members to draw out experiences and perspectives. The results of this research can be applicable to any higher education institution in the UK and to other countries where the academic system is similar.