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Industry 4.0 has come as a consecutive and predicted outcome of the previous industrial periods, recently dubbed Industry 1.0, 2.0 and 3.0 (Pereira and Romero 2017). As an expected outcome, compani...

PurposeWith considerable international awareness of circular economy (CE), the purpose of this paper is to propose a theoretical framework, informed by institutional theory and upper echelon theory (UET), to explain how top management commitment (TMC) mediates the relationship between external pressures and supplier relationship management (SRM) practices for CE.Design/methodology/approachThe authors test the hypotheses using cross-sectional data gathered using a survey of companies involved in sustainability practices.FindingsThe results of the hierarchical regression and mediating regression analyses suggest that TMC positively mediates the effect of external institutional pressures on SRM.Originality/valueThe authors advance existing theory by integrating institutional theory and UET to explain SRM practices in sustainable supply networks. Furthermore, the authors offer guidance to managers who would like to engage in leveraging SRM in sustainable supply networks and outline future research directions.

The purpose of this paper is to examine whether agricultural supply chains (ASC) can be simultaneously sustainable and resilient to ecological disruptions, using the Planetary Boundaries theory. The nine different Planetary Boundaries i.e. climatic change, biodiversity loss, biogeochemical, ocean acidification, land use, freshwater availability, stratosphere ozone depletion, atmospheric aerosols and chemical pollution are examined in relation to ASC sustainability and resilience. Kenya’s tea upstream supply chain sustainability and resilience from the ecological point of view is questioned. This study adopts a multi-case study analysis approach of nine producer organisations from Kenya’s tea supply chain. The data from the in-depth semi-structured interviews and a focus group discussion are analysed using thematic analysis. The Kenyan tea supply chain producers are not aware of all the nine planetary boundaries, although these impact on their resilience practices. They are engaged in pursuing both sustainability and resilience practices. They implement mainly environmental practices in relation to sustainability, while only a few of them are implementing resilience practices. The sustainability and resilience concepts were found to be interrelated, but resilience does not improve at the same pace as sustainability. It is suggested that the relationship between sustainability and resilience is non-linear. Limitations and future research avenues are also provided.

In recent years, there has been a proliferation of interest in resilience in the supply chain field. Even though literature has acknowledged the antecedents of resilient supply chains, such as supply chain visibility, cooperation, and information sharing, their confluence in creating resilient supply chains where other behavioural issues are prevailing (i.e. trust and behavioural uncertainty) has not been studied. To address this gap, we conceptualized a theoretical framework firmly grounded in the resource based view (RBV) and the relational view that is tested for 250 manufacturing firms using hierarchical moderated regression analysis. The study offers a nuanced understanding of supply chain resilience and implications of supply chain visibility, cooperation, trust and behavioural uncertainty. Implications and suggestions for further research are provided.

The aim of the editorial note is to introduce the scope of this special issue (SI). We explain our editorial approach and provide a brief summary of eight articles included in the SI following mult...

This paper explores how theory and methodology from Community Operational Research (Community OR) can enhance Lean initiatives. We are driven by the paucity of the literature discussing the involvement of non-obvious stakeholders, particularly local communities, in the adoption of Lean. We present a project undertaken with a food production company in the Niger Delta Region of Nigeria, where we employed a Systemic Intervention methodology to integrate theory and methods from Community OR with those from Lean. Based on this example, we argue that the inclusion of community representatives is necessary if Lean waste-reduction initiatives are to benefit both organizations and their local communities. Our only proviso is that, in the spirit of Community OR, the involvement of community representatives must be meaningful, so change is agreed through stakeholder engagements that respect their inputs and framings, and do not result in organizations imposing unwanted ‘solutions’ on communities. The paper ends with some reflections on the added value that Community OR can offer Lean practitioners.

Purpose The purpose of this paper is to review the existing literature on supply chain performance measures and metrics (PMMs). It provides a critical evaluation of 234 articles published in past 24 years. Design/methodology/approach The paper examines the studies published from 1991 to 2014 by adopting the bibliometric technique of citation and co-citation analysis. Findings The analysis of the results indicate that the number of articles on supply chain PMMs is increasing at its fastest pace in the past few years. Furthermore, the study identifies some of the most influential articles on performance measurement and metrics. Finally, it concludes that there has been a transition from traditional to more sophisticated performance measurement system. Research limitations/implications This study focuses only on supply chain performance measurement and metrics and excludes research on performance management and control. Thus, researchers may explore and extend this area of research. Originality/value To the knowledge of the authors, this is the first study to review the literature on supply chain PMMs by using citation and co-citation analysis. The study includes 234 articles over the time of 24 years (1991-2014).

Purpose A shortage of skills is recognized as a major source of risk in supply chain networks. This study uses two independent organizational theories to explain how to build applicable skills for continuous availability of appropriate supply chain talents. The purpose of this paper is to propose an integrated framework that links human agency theory, social capital theory and supply chain skill. Design/methodology/approach This framework is analyzed in third party logistics (3PL) organizations by confirmatory factor analysis and tested using a survey. After pre-testing by six academics and six practitioners, and following the total design method, the data were collected from 183 3PL organizations in India. Data were checked to ensure no non-response bias. Research hypotheses were tested using WarpPLS-structural equation modeling. Findings A primary finding offers guidance to 3PL managers. Their driving role and mediating role of access to information and access to resources facilitate building supply chain skill. Leaders who invest in library, acquiring e-resources, offer financial support and create trust among employees are enablers of building supply chain skill. Originality/value This study classified 14 supply chain skills into three categories as: managerial skill, quantitative skill and supply chain core skill. The study could be extended to similar companies in other developing countries.

PurposeA low-carbon economy is the pressing need of the hour. Despite several efforts taken by the government and large corporations, there is still research to be conducted exploring the role of top management commitment in translating external pressures into responses that help to build low-carbon emissions in supply chains.Design/methodology/approachThe authors have grounded their framework in institutional theory, agency theory and contingency theory. On the basis of existing literature, four hypotheses were drawn. To test these hypotheses, a questionnaire was developed and pre-tested. Finally, statistical analyses were performed to test the research hypotheses using 176 samples gathered using a pre-tested questionnaire following Dillman’s (2007) total design test method.FindingsThe results suggest that coercive pressures and mimetic pressures under the mediating effect of top management commitment have a significant influence on organizational response to low-carbon emissions. The authors further note that supply base complexity has moderating effects on the link between top management commitment and organizational response towards low-carbon emissions.Originality/valueThis study offers valuable insights to those managers and environmental consultants who view supply base complexity as a limitation. However, the results indicate that supply base complexity may help to enhance the effectiveness of the top management commitment on organizational response towards low-carbon emissions.

Manufacturing flexibility has been the subject of scholarly debate for decades. The literature investigated the relationship between manufacturing flexibility (MF) and business strategy realisation. However, scholars are yet to establish the relationship between these two constructs as mediated by the position of decoupling point (DP), which plays a key role in the design and management of supply chains. To address this gap, this paper develops a theoretical model grounded in strategic choice theory, which investigates the direct relation between MF and the position of DP, as well as the indirect relation between MF and business strategy as mediated by the position of DP. Based on a sample of 257 responses from a survey with Indian organisations, we test the model using structural equation modelling. The findings reveal that the level of MF varies with the position of DP within supply chains. This position of DP differs in different types of business strategies and accordingly affects their MF.

Purpose The purpose of paper is twofold. First, it provides a consolidated overview of the existing literature on “big data” and second, it presents the current trends and opens up various future directions for researchers who wish to explore and contribute in this rapidly evolving field. Design/methodology/approach To achieve the objective of this study, the bibliographic and network techniques of citation and co-citation analysis was adopted. This analysis involved an assessment of 57 articles published over a period of five years (2011-2015) in ten selected journals. Findings The findings reveal that the number of articles devoted to the study of “big data” has increased rapidly in recent years. Moreover, the study identifies some of the most influential articles of this area. Finally, the paper highlights the new trends and discusses the challenges associated with big data. Research limitations/implications This study focusses only on big data concepts, trends, and challenges and excludes research on its analytics. Thus, researchers may explore and extend this area of research. Originality/value To the knowledge of the authors, this is the first study to review the literature on big data by using citation and co-citation analysis.

This study, drawing on natural resource-based view (NRBV), identifies drivers, barriers and the potential benefits of Returnable Transport Packaging (RTP) –that is, the repeated use of packaging items– and conceptualises RTP as a technology and resource that supports organisational competitiveness. Specifically, it investigates the impact of RTP adoption on business performance, the effects of drivers, barriers and size of organisations. The data collection took place in Nigeria and South Africa. The findings suggest that RTP has a significant positive impact on business performance. Whilst prior studies seem to suggest that shrinkage and attrition are the major problems identified with the usage of RTP, our findings indicate that there are several other barriers affecting RTP adoption and the resultant performance advantage. The results also show that there is increasing move towards adoption of RTP but some organisations are faced with financial constraints, especially the small and medium size enterprises. In addition, the results show that RTP is largely a ‘sustainability facing’ initiative with adoptees motivated primarily by potential environmental, economic, social and operational benefits of adoption.

Purpose Sustainable supply chain management (SSCM) has attracted considerable interest among academics and practitioners. The purpose of this paper is to present a critical review of the literature, to identify missing links, to argue for the use of world class SSCM (WCSSCM) through a framework, and suggest further research directions. Design/methodology/approach In the paper the authors have undertaken an extensive review of literature and classified articles using a novel classification scheme. Findings Through the extensive review and identification of research gaps, the paper identifies significant differences between definitions and methodologies in the SSCM literature; and argues for “WCSSCM.” This term is elaborated on via a theoretical framework in which 18 dimensions are classified under six constructs of SSCM. Furthermore, a list of potential research directions for WCSSCM is discussed. Research limitations/implications The research is an attempt to critically review literature, argue for WCSSCM, and develop a theoretical framework. Originality/value The paper offers a new approach to SSCM literature, arguing for WCSSCM through a framework, and providing further research directions.

The concept of green supply chain management is evolving rapidly and gaining popularity in the research community. This research reviews the literature on green supply chain performance measures for the purpose of providing thorough insight into the field. Using bibliometric and network analysis, the research critically evaluates 653 articles published over the past 22 years and identifies some of the top contributing authors, organizations and key research topics related to the field. In addition, the most influential works based on citations and PageRank are also obtained and compared. At last, major research areas and potential future directions are identified by conducting network analysis.

This paper focuses on how the use of Community OR (COR), specifically Systems Thinking (ST) and the Viable System Model (VSM) can help in addressing complex and uncertain problem situations within community organisations, in particular Alternative Food Networks (AFNs). Literature has highlighted the importance and benefits of AFNs, but also the complexity and uncertainty underpinning the majority of AFN related problem situations that limit decision making and strategic planning and threaten the long-term sustainability of AFNs. To address this issue, we discuss the use of ST via a VSM intervention within a member-driven food cooperative in Copenhagen, Denmark, and the changes in decision making and the organisational structure of the cooperative. We illustrate the application of the VSM and in particular the methodology for organisational self-transformation within ‘localist green communitarianism’ and ‘nonprofit management’ to tackle issues, enhance democratic and participative decision making, and changes in the organisational structure that foster coordination and cohesion. The implications for COR and Soft OR, limitations and future research directions are also provided.

In recent years, to stimulate the development of Lean Supply Chain Management (SCM) in SMEs, the UK aerospace industry has developed a change programme named ‘Supply Chains for the twenty-first century’ (SC21). This programme promotes the use of a simple standard improvement framework, which defines performance goals and standardises the approaches and tools for continuous sustainable improvement. However, its effective impact on Lean SCM and performance measurement systems (PMS) has not been widely covered in the literature. Adopting a qualitative research methodology approach, this study investigates five significant organisations to explore and contribute to knowledge on Lean SCM and PMS challenges related to the adoption of the SC21 programme. From an academic point of view, the paper highlights the key role of SC21 in accelerating the competitiveness of the aerospace industry by fostering managerial development of supply chain partners. In particular, it highlights the importance of PMS as well as collaboration between supply chain partners for efficient and effective SCM. From a practitioner’s perspective, the SC21 performance award is highlighted as a very successful approach in bridging the gap of differing agendas between supply chain partners. SMEs, with support from their larger supply chain partners, can embrace performance measurement practices to improve their performance. More established SMEs with a headcount of more than 50 employees are capable of developing and documenting strategic plans and more sophisticated PMS.

The purpose of this paper is to propose and test a theoretical framework to explain resilience in supply chain networks for sustainability using unstructured Big Data, based upon 36,422 items gathered in the form of tweets, news, Facebook, WordPress, Instagram, Google+, and YouTube, and structured data, via responses from 205 managers involved in disaster relief activities in the aftermath of Nepal earthquake in 2015. The paper uses Big Data analysis, followed by a survey which was analyzed using content analysis and confirmatory factor analysis (CFA). The results of the analysis suggest that swift trust, information sharing and public–private partnership are critical enablers of resilience in supply chain networks. The current study used cross-sectional data. However the hypotheses of the study can be tested using longitudinal data to attempt to establish causality. The article advances the literature on resilience in disaster supply chain networks for sustainability in that (i) it suggests the use of Big Data analysis to propose and test particular frameworks in the context of resilient supply chains that enable sustainability; (ii) it argues that swift trust, public private partnerships, and quality information sharing link to resilience in supply chain networks; and (iii) it uses the context of Nepal, at the moment of the disaster relief activities to provide contemporaneous perceptions of the phenomenon as it takes place.

This paper argues for the use of Total Interpretive Structural Modeling (TISM) in sustainable supply chain management (SSCM). The literature has identified antecedents and drivers for the adoption of SSCM. However, there is relatively little research on methodological approaches and techniques that take into account the dynamic nature of SSCM and bridge the existing quantitative/qualitative divide. To address this gap, this paper firstly systematically reviews the literature on SSCM drivers; secondly, it argues for the use of alternative methods research to address questions related to SSCM drivers; and thirdly, it proposes and illustrates the use of TISM and Cross Impact Matrix-multiplication applied to classification (MICMAC) analysis to test a framework that extrapolates SSCM drivers and their relationships. The framework depicts how drivers are distributed in various levels and how a particular driver influences the other through transitive links. The paper concludes with limitations and further research directions.

Research on social sustainability in developing countries has recently gained importance for both academics and practitioners. Studies in the supply chain management field take either a supplier or a manufacturer perspective that address predominantly corporate social responsibility (CSR) issues referring to the internal stakeholders. Our research integrates the literature on supplier, manufacturer, and customer responsibility and proposes the concept of supply chain social sustainability (SCSS) that refers to addressing social issues within the overall (upstream and downstream) supply chain. Furthermore, we develop and empirically validate scales for measuring SCSS using in-depth interviews and a survey in the Indian manufacturing industry. Our results suggest that SCSS consists of six underlying dimensions, namely equity, safety, health and welfare, philanthropy, ethics, human rights, in a 20-item valid and reliable scale. We discuss the implications of the findings for research and practice and suggest future research avenues.

Purpose – The emergent field of Internet of Things (IoT) has been evolving rapidly with a geometric growth in the number of academic publications in this field. The purpose of this paper is to review the literature of IoT in past 16 years using rigorous bibliometric and network analysis tools, offering at the same time future directions for the IoT research community and implications for managers and decision makers. Design/methodology/approach – The authors adopted the techniques of bibliometric and network analysis. The paper reviewed the articles published on IoT from 2000 to 2015. Findings – This study identifies top contributing authors; key research topics related to the field; the most influential works based on citations and PageRank; and established and emerging research clusters. Scholars are encouraged to further explore this topic. Research limitations/implications – This study focusses only on vision and applications of IoT. Scholars may explore various other aspects of this area of research....

Purpose – Firms within industrial clusters are subject to challenges such as globalization, limited resources, volatility of international markets and financial instabilities. 4th party logistics (4PL) service providers are supporting individual firms to overcome such challenges by using collaborative operational capabilities from within an industrial cluster to their enhance competitiveness. The purpose of this paper is to focus on China and proposes a collaborative operational capabilities framework to illustrate the role of 4PL in industrial cluster competitiveness. Design/methodology/approach – The paper follows an extensive literature review and structured interviews in two types of clusters, drawing on resource-based view and importance-performance matrix analysis. Findings – The paper proposes six elements (that is, synergy of logistics, expansion of industrial chain, financial ability, creativity and innovation ability, cooperation of companies and flexibility of supply chain) that comprise collaborative operational capabilities, and highlights the role of “creativity and innovation ability” and “supply chain flexibility” in the use of 4PL for industrial cluster competitiveness in Chinese context. Research limitations/implications – The paper focusses on China and hence it could also be tested in the developed countries’ context with the support of large-scale empirical data to investigate further its usefulness and to identify other constraints. Originality/value – The study contributes to the 4PL literature in that it proposes a framework that extrapolates the importance of 4PL in industrial cluster competitiveness in China.

As Big Data has undergone a transition from being an emerging topic to a growing research area, it has become necessary to classify the different types of research and examine the general trends of this research area. This should allow the potential research areas that for future investigation to be identified. This paper reviews the literature on ‘Big Data and supply chain management (SCM)’, dating back to 2006 and provides a thorough insight into the field by using the techniques of bibliometric and network analyses. We evaluate 286 articles published in the past 10 years and identify the top contributing authors, countries and key research topics. Furthermore, we obtain and compare the most influential works based on citations and PageRank. Finally, we identify and propose six research clusters in which scholars could be encouraged to expand Big Data research in SCM. We contribute to the literature on Big Data by discussing the challenges of current research, but more importantly, by identifying and proposing these six research clusters and future research directions. Finally, we offer to managers different schools of thought to enable them to harness the benefits from using Big Data and analytics for SCM in their everyday work.

Purpose – At a time when the number and seriousness of disasters seems to be increasing, humanitarian organizations find that besides their challenging work they are faced with problems caused by a high level of turnover of staff. The paper aims to discuss these issues. Design/methodology/approach – Based on the 24 variables leading to employee turnover identified by Cotton and Tuttle (1986) the authors analyse the work-related, external and personal factors affecting employee turnover in humanitarian organizations, using a survey of members of the Indian National Institute of Disaster Management. Findings – Results indicated that the three factors are present. Of the external factors, only employment perception had a factor loading over 0.7; of the work-related factors, all were significant; of the personal factors, biographical information, marital status, number of dependants, aptitude and ability and intelligence had the highest loadings. It was also shown that behavioural intentions and net expectation were not significant. Originality/value – Only a few studies reported on employee turnover and its reasons are not well understood in the context of humanitarian organizations. To address this need, the aim of this paper is to explore the personal reasons impacting employee turnover in humanitarian organizations. In the study the authors have adopted 24 variables used in Cotton and Tuttle (1986) and classified into constructs to explain turnover, and further tested the model using data gathered from humanitarian organizations.

In this paper an attempt has been made to build a theoretical framework of the enablers and barriers of flexible green supply chain management (FGSCM). This study is unique in its kind, as it clearly illustrates both the enablers and barriers and their complex interrelationships that impact the design and implementation of flexible and green strategies in a supply chain closed loop system. Ten enablers and eight barriers of FGSCM are identified through an extensive literature review process. Then, an expert survey is developed and conducted to further understand the interactions and the transitive links between the enablers and barriers. Separate frameworks are developed and proposed regarding the enablers and barriers of FGSCM by using total interpretive structural modeling approach. Finally, we have discussed the findings of the study in light of the relevant literature, followed by limitations and further research directions.

New product development (NPD) speed is becoming an important weapon by which firms can gain market share in today's competitive and complex market environments, where consumer preferences change rapidly. Drawing on the information technology (IT)-enabled organizational capabilities perspective, this study proposes that IT ambidexterity—the simultaneous pursuit of IT exploitation and IT exploration, which has become imperative in modern industry to sustain the business value of IT—enhances NPD speed by facilitating operational agility. We examine the proposed relationship of IT ambidexterity with the potential moderating role of market complexity in a sample composed of 292 British high-tech firms. Our findings, based on a moderated-mediation analysis, suggest that the impact of IT ambidexterity on NPD speed is mediated by operational agility and that the mediation effect is especially pronounced in complex markets. The resulting theoretical arguments and empirical evidence yield further insights into the strategic impacts of IT.

PurposeThe purpose of this paper is to develop a performance measurement model for the entire supply chain that includes balanced set of performance measures.Design/methodology/approachThe conceptual model was validated empirically in case companies through semi-structured interviews and content analysis of documents.FindingsPerformance measures are important to companies in the natural gas (NG) supply chain to assess performance against set objectives in order to identify loopholes in performance. This is important in order to remain competitive. The research found that both financial and non-financial performance measures are employed by companies to measure performance. The results also indicate that six performance criteria of the conceptual model are vital to the NG supply chain. In addition, all identified measures under each of criteria impact on performance of the supply chain with customer service and financial criteria considered as most important.Research limitations/implicationsThe empirical data collected from the NG supply chain in Ghana were relatively small; however, additional information was obtained from company data and relevant magazines. Also, getting through to specific target participant was a challenge due to busy work schedule but, in case companies where it proved impossible, other staff who were also involved in supply chain were interviewed instead.Practical implicationsThis research provides a useful source of information on performance measures for practitioners in the NG industry who wish to measure performance of their supply chain. It also provides areas from which further and additional research can be carried out.Originality/valueThis research provides performance measures for the NG supply chain of Ghana. Typically, performance measures have been evaluated in discrete manufacturing supply chain, petroleum industry supply chain and oil industry supply chain. This research expanded on ideas from these studies and applied them in the NG industry.

In this study we attempt to establish the missing links between supply chain sustainability and frugal innovation. Our study motivations stem from two facets of the emerging markets: firstly, the institutional barriers and secondly, the resource constraints. We argue that there is a synergy in the concepts of frugal innovation and sustainability in supply chains and there is a need to further explore this synergy. Furthermore, we claim that even in the wake of many success stories in the frugal innovative supply chain management practices from emerging markets such as India, there are very few, if any, attempts made to understand the implications of a sustainability oriented frugal innovations in the particular context. To address this gap we develop a model to establish the linkage between sustainable supply chains and frugal innovations. Our proposed conceptual framework depicts the hierarchy and interlinks of the identified enablers in developing sustainability oriented frugal innovative capabilities in supply chains. Furthermore, we have empirically validated our theoretical framework using survey data. We observed that most of the interpretive links are supported. These findings extend the understanding of frugal innovation for supply chain sustainability using multi-method research design, while also providing theoretically guidance to managers in the development of frugal innovation capability to achieve sustainability in supply chain in resource constrained environment.

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.

We explore how professional legal services and their supply chains can be modularised. Based on a review of the service\ud modularity, supply chain modularity and supply chain strategy literature, we posit that the scope of service modularisation\ud should be determined by, and aligned with, the supply chain strategy of a firm. We develop a conceptual framework\ud that links the service and supply chain modular architectures with the supply chain strategy of service firms. The framework\ud provides the foundation for an empirical confirmatory analysis through in-depth multiple case studies in 10 law\ud firms in the UK. We identify the current status quo of service and supply chain architectures of professional legal services\ud and then explore several options for their modularisation. Our findings show that legal services are currently overcustomised,\ud offering significant opportunities for the application of modularity across their supply chains. We generate\ud insights to show how service modularity can be applied to the service offering, processes and supply chain levels of law\ud firms. We also demonstrate the effects of each level of modularisation on the selection of appropriate interfaces and on\ud the decomposability of services.

In recent years, energy sustainability has attracted increasing attention from scholars, policy makers, and practitioners. However, in practical competitiveness, companies also have to maintain flexibility to deliver customer requirements. Existing theory has largely seen flexibility and sustainability as separate issues, ignoring their relationship. To address this gap, we attempt to explore energy sustainability using flexible operations management practices in India. Following a case research methodology, we investigate how flexible operations management practices embraced by a leading organization that minimizes energy consumption in plants with better resource utilization and better quality of work life for staff to meet the future requirements based on market forecast. We solve a real-time multi-criteria strategic capacity planning problem with multiple objectives such as throughput maximization, waste minimization, and resource utilization maximization by using discrete event simulation technique. Our data stems from ongoing research within a car manufacturing company in India, located at Pune. Shift timings, setup time, production batch size, and differential rated capacities of plants are considered as the variables in this study. However, optimal routing flexibility combined with volume flexibility helps to achieve significant reduction in energy consumption. Finally, we offer future research questions on flexible operations management practices.

The early stages of innovation involve high levels of uncertainty, leading to it being labelled as the “fuzzy-front end” (FFE). Although openness has been identified as pivotal to innovation performance in the open innovation literature, little effort has been put into exploring its role in the FFE. Specifically, this study examines ‘openness competence’ within the FFE–i.e., the ability of a FFE team to explore, gather and assimilate operant resources from external sources by means of external searches and inter-organisational partnerships. The aim is to investigate the impact of openness competence on front-end uncertainty reduction and service innovation success. Data were obtained from a survey of 122 IT-based service innovation projects implemented by IT service provider firms in Thailand. The results suggest that openness competence positively influences both the degree of uncertainty being reduced during the FFE and the overall success of service innovations. These findings offer several implications for research on open innovation and the FFE as well as encouragement to managers to apply a more open approach to the FFE of their service innovation projects.

There has been increasing interest from both academics and practitioners in sustainable consumption and production (SCP) behaviour. The literature has mainly focused on antecedents and indicators for SCP behaviour, but scholars are yet to develop frameworks that provide insights into SCP behaviour. To address this gap, this paper develops a theoretical model grounded in institutional and agency theories that explicates the role of top management beliefs and participation when dealing with institutional pressures that impact upon SCP behaviour by facilitating information sharing and reducing behavioural uncertainty. Based on a sample of 167 responses from a survey with Indian organizations, we test the model using partial least squared regression-based structural equation modelling (PLSR SEM). Our results indicate the role of top management commitment as a mediator between institutional pressures and SCP behaviour and the role of beliefs as shaping the commitment of top managers towards strengthening SCP behaviour. We further suggest that participation plays a significant role in quality information sharing, which is important in reducing behavioural uncertainty among stakeholders. Finally we outline our research limitations and further research directions.

This study develops a theoretical model that links reconfigurable manufacturing systems with top management beliefs, participation, and environmental performance, drawing on agency theory and organizational culture. The study takes into account the possible confounding effects of organization size and organizational compatibility. Drawing on responses from 167 top managers, the results of hypothesis testing suggest that (i) higher top management participation, being influenced by top management beliefs, leads to higher chances of RMS becoming adopted by organizations as their manufacturing strategy; (ii) organizational culture moderates the relationship between the level of top management participation and RMS (and manufacturing strategies) adoption; and (iii) higher re-configurability of manufacturing systems leads to better environmental performance. Furthermore, we integrate Agency Theory and organizational culture to explain the role of top management beliefs and participation in achieving environmental performance via RMS. Finally, we offer guidance to those managers who would like to engage in leveraging top management commitment for achieving environmental performance, and outline further research directions.

This paper develops an operational perspective of supply chain sustainability, by considering it as a risk management process. It explores the nature of sustainability-related supply chain risks, distinguishes them from typical supply chain risks and develops an analytical process for their management. An empirical study is conducted to generate insights about how sustainability-related risks should be managed in an integrated way. A mixed method approach is adopted for data collection and analysis. Through an extensive literature review and personal interviews, 30 risks across the three main pillars of sustainability (environmental, social and economic) are identified first. A large survey across different industrial sectors and two exploratory empirical case studies in two textile manufacturing companies are subsequently conducted to assess and analyse several dimensions of sustainability-related risk. The failure mode and effect analysis (FMEA) technique is utilised to assess the relative importance of the selected risks, to identify their potential causes and effects and test potential correlations between the identified risks. Based on the findings of the study, risk treatment strategies are proposed for all the identified sustainability-related supply chain risks. The findings show that endogenous environmental risks are perceived to be the most important across different industries and the interconnectedness between several sustainability-related risks is very high. This points to the need for integrated sustainability risk management approaches to facilitate the development of effective sustainable strategies.

Big data (BD) has attracted increasing attention from both academics and practitioners. This paper aims at illustrating the role of big data analytics in supporting world-class sustainable manufacturing (WCSM). Using an extensive literature review to identify different factors that enable the achievement of WCSM through BD and 405 usable responses from senior managers gathered through social networking sites (SNS), we propose a conceptual framework using constructs obtained using reduction of gathered data that summarizes this role; test this framework using data which is heterogeneous, diverse, voluminous, and possess high velocity; and highlight the importance for academia and practice. Finally, we conclude our research findings and further outlined future research directions.

The aim of the paper is to identify the enablers for the successful implementation of Six Sigma. None of the existing frameworks provides any clear understanding related to linkages between, and hierarchical relationships among, the constructs of Six Sigma implementation. Our study has both inductive and deductive elements. We identified enablers of Six Sigma implementation from existing research, and we developed a contextual framework using the interpretive structural modelling technique. We further studied enablers based on their driving power and dependence using MICMAC analysis to categorise the enablers into four clusters. In order to validate the ISM model statistically we developed and pre-tested a structured questionnaire before using it for a survey. Data were collected using a split survey method using a modified version of Dillman's total design method. We performed non-response bias before checking assumptions such as constant variance and normality. We further checked the reliability and construct validity using confirmatory factor analysis. We find that constructs and indicators of our theoretical framework meet the criteria, and find them to be a good fit based on confirmatory factor analysis. We draw conclusions based on statistical analyses and our study limitations, and suggest further research directions.

PurposeThe purpose of this paper is to examine when and how organizations create agility, adaptability, and alignment as distinct supply chain properties to gain sustainable competitive advantage.Design/methodology/approachThe current study utilizes the resource-based view (RBV) under the moderating effect of top management commitment (TMC). To test the research hypotheses, the authors gathered 351 usable responses using a pre-tested questionnaire.FindingsThe statistical analyses suggest that information sharing and supply chain connectivity resources influence supply chain visibility capability, which, under the moderating effect of TMC, enhance supply chain agility, adaptability, and alignment (SCAAA).Originality/valueThe contribution lies in: providing a holistic study of the antecedents of agility, adaptability, and alignment; investigating the moderating role of TMC on SCAAA; following the RBV and addressing calls for investigating the role of resources in supply chain management, and for empirical studies with implications for supply chain design.

Big Data refers to complex and unstructured data that is difficult to analyse and utilize with traditional applications and analyses. Big Data comes from a variety of sources, including tracking and sensor devices which are widely used in logistics and supply chain management, and relate to Radio Frequency Identification (RFID) technology. Thus, this chapter reviews the literature on RFID adoption in supply chain/logistics management from 1995-2015. We identify current trends in the literature, drawing on the three levels of decision making, that is, strategic, tactical, and operational. We suggest that more research needs to be conducted with regards to the intangible benefits of RFID, the use of RFID big data for achieving higher performance, and to shift the focus from the ‘what' and the impacts on performance to the ‘how' and the ways RFID is adopted and assimilated in organizations and supply chains. Finally, the managerial implications of our review as well as the limitations and future research directions are outlined.

This paper provides an empirical study based on action research in which expert and novice facilitators in facilitated modelling workshops are compared. There is limited empirical research analysing the differences between expert and novice facilitators. Aiming to address this gap we study the behaviour of one expert and two novice facilitators during a Viable System Model workshop. The findings suggest common facilitation patterns in the behaviour of experts and novices. This contrasts literature claiming that experts and novices behave and use their available knowledge differently, and empirically supports the claim that facilitation skills can be taught to participants to enable them to self-facilitate workshops. Differences were also found, which led to the introduction of a new dimension—‘internal versus external’ facilitation. The implications of our findings for effective training and facilitation strategies in contexts in which external, expert facilitation is not always possible are also discussed, and limitations of this study are provided.

International audience; Sustainability benchmarking is gaining importance in industry. Despite its increasing popularity, the existing research utilizing theory to explain the organizations intention to shape performance measurement systems (PMS) for sustainability benchmarking is limited. Drawing upon institutional theory and organizational culture, this study investigates how institutional pressures motivate organizations to shape PMS for sustainability benchmarking and how such effects are moderated by organizational culture. The results of a survey of 277 respondents, gathered from Indian manufacturing firms, suggest that two of the dimensions of the institutional pressures (i.e. coercive pressures and normative pressures) are positively related to the PMS whereas the third dimension (i.e. mimetic pressures) does not affect PMS. Furthermore, organizational culture (i.e. flexible orientation and control orientation) plays a different role on the differential effect of coercive pressures, normative pressures and mimetic pressures on shaping PMS for sustainability benchmarking. The current manuscript offers an interesting contribution to the sustainability benchmarking literature: we integrate the perspectives of ‘external pressures’ and ‘organizational culture’ –as neither perspective, can on, its own can shape the PMS for sustainability benchmarking–, and ‘organizational structure’ under which the external pressures are most effective. From a practitioners' perspective, our study provides theory-driven and empirically-proven guidance for managers to understand the effect of external pressures and the role of organizational structure on PMS for sustainability benchmarking.

The purpose of this study was to examine the role of big data and business analytics (BDBA) in agile manufacturing practices. Literature has discussed the benefits and challenges related to the deployment of big data within operations and supply chains, but there has not been a study of the facilitating roles of BDBA in achieving an enhanced level of agile manufacturing practices. As a response to this gap, and drawing upon multiple qualitative case studies undertaken among four U.K. organizations, we present and validate a framework for the role of BDBA within agile manufacturing. The findings show that market turbulence has negative universal effects and that agile manufacturing enablers are being progressively deployed and aided by BDBA to yield better competitive and business performance objectives. Further, the level of intervention was found to differ across companies depending on the extent of deployment of BDBA, which accounts for variations in outcomes.

Total Quality Management (TQM) is an enduring approach for enhancing firm competitiveness. Still, there is dearth of research regarding organisational diffusion (post-adoption) of TQM. To address this gap, this research proposes a theoretical model rooted in institutional and upper echelon theories that explains TQM diffusion via top management commitment. We surveyed 300 senior quality managers representing 300 auto-components manufacturers in India to collect data to test the proposed model using variance based structural equation modelling (PLS-SEM). The findings suggest that institutional pressures significantly influence top management commitment to TQM. Subsequently, top management commitment influences organisational diffusion of TQM via acceptance, routinization, and assimilation. Managers can use the findings of this research to better understand how to assimilate TQM so that anticipated benefits can be fully realized.

‘Big Data & Analytics’ (BD&A) has become increasingly important over the last years in both academic and practitioner worlds. Organisations are trying to harness the benefits of BD&A, defined as ‘a...

This paper focusses on the openness in the front-end phase of service innovation and its impact on innovation success. The early stages of innovation are fuzzy and unstructured, thus often being called “fuzzy front-end” (FFE) by scholars. The FFE begins when an opportunity is considered worthy of further ideation, exploration, and assessment and ends when a firm decides to invest in — or terminate — an idea. Although openness has been identified as pivotal to innovation performance, little effort has been put into exploring its role in the early phase of innovation. By drawing on the data of a multiple case study in Thai online service firms, we are able to identify four key dimensions of FFE openness competence: prior related knowledge, top management support, the presence of workable prototype, and slack resource. Furthermore, we found three openness activities that often take place in the FFE phase of successful online service innovation, i.e., external search, inter-firm partnerships and customer experimentation. From a managerial perspective, our study provides useful insights to innovation managers aiming at enhancing front-end performance through openness.

PurposeGreen or sustainable supply chain management (GSCM/SSCM) has in recent years attracted much attention from academia and practitioners in all part of the world. In recent years, all humanity has experienced severe climate change which is widely attributed to human activity. Harmful emissions have made a major contribution to recent climate change which presents major challenges and threats to the entire human race in form of global warming, earthquakes, hurricanes, tsunami and floods. The purpose of this paper is to propose a conceptual GSCM/SSCM framework contributing to knowledge-based view theory and systems theory (ST) and provide an exhaustive list of further research directions.Design/methodology/approachIn this paper the authors have used a systematic literature review to identify building blocks of the conceptual framework, which is the principal contribution of the present paper.FindingsIn this paper the authors have proposed a conceptual framework for sustainable supply chain network and at the end the authors have outlined further research directions.Research limitations/implicationsThe current paper is an attempt to develop a conceptual framework which is grounded in knowledge-based theory. The study helps to extent the prior works which lacks theory focused approach.Originality/valueThe present work has immense theoretical value and can be useful to the policy makers or practitioners engaged in GSCM practices.

Sustainable operations management (SOM) can be defined as the operations strategies, tactics and techniques, and operational policies to support both economic and environmental objectives and goals. The subject of sustainability has gained much attention from both researchers and practitioners in the past 6–8 years. Most of the articles deal with sustainability from environmental perspectives, but a limited number of them integrate both economic and environmental implications or focus on trading-off between profitability, competitiveness and environmental dimensions. Moreover, there is a limited focus on modelling and analysis (MA) of SOM integrating and balancing the interests of both economic and environmental interests. Therefore, an attempt has been made in this paper to review the extant literature on SOM. The objective is to understand the definition of SOM and present the current status of research in MA, as well as future research directions in the field. Considering the recent focus of the subject, we review the literature on MA of SOM beginning in 2000 in order to make our study current and more relevant for both researchers and practitioners. Finally, a summary of findings and conclusions is reported.

This paper offers a systematic review of the literature on the use of information technology (IT) in logistics and supply chain management to achieve competitive advantage. While IT has revolutionized traditional logistics and supply chains to achieve numerous benefits such as increased efficiency and responsiveness, it is not still clear to what extend IT has contributed to competitive advantage within logistics and supply chains. This paper contributes to this debate by: (i) reporting the literature on the role of IT in achieving competitive advantage within logistics and supply chains based on the linkages between ‘adaptation’, ‘alignment’, and ‘agility’, (triple A’s) (Lee, 2004), and (ii) discussing managerial implications and identifying future research directions.

Scholars acknowledge the importance of big data and predictive analytics (BDPA) in achieving business value and firm performance. However, the impact of BDPA assimilation on supply chain (SCP) and organizational performance (OP) has not been thoroughly investigated. To address this gap, this paper draws on resource-based view. It conceptualizes assimilation as a three stage process (acceptance, routinization, and assimilation) and identifies the influence of resources (connectivity and information sharing) under the mediation effect of top management commitment on big data assimilation (capability), SCP and OP. The findings suggest that connectivity and information sharing under the mediation effect of top management commitment are positively related to BDPA acceptance, which is positively related to BDPA assimilation under the mediation effect of BDPA routinization, and positively related to SCP and OP. Limitations and future research directions are provided.