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This study draws on the systems perspective to study the individual and combined interaction effect of lean management (LM) and sustainability management (SM) on the organization's triple bottom line (TBL) performance.

The study employs structural equation modeling to test the proposed hypotheses using data from the sixth version of the International Manufacturing Strategy Survey (IMSS VI).

The study finds that LM is positively related to all dimensions of the TBL performance. In contrast, SM is positively related to social and environmental performance and negatively related to economic performance. Finally, by finding that the interaction between LM and (SM) is positive for social and environmental performance, this study not only confirms that LM is an enabler for sustainability, but it also supports that the two paradigms are mutually compatible and reinforcing.

The findings imply that practitioners pursuing both LM and SM should leverage their mutual positive effects and balance the unintended effects of implementing isolated bundles by implementing them together as a complete socio-technical system. Their combined impact on the TBL performance will outweigh the sum of their individual effects in the case of isolated implementations.

In contrast with the extant literature, this study proposes that LM and SM make parts of one system as opposed to one correlated with the other or having a positive causal effect on the other. Taking an integrated systems approach, the study empirically verifies the “mutual compatibility” of the lean and sustainability paradigms argument, with regard to their effect on the TBL performance.

The purpose of this paper is to analyze research methodologies and publication trends across geographical regions in the field of supply chain innovation (SCI) and provide a discussion of future research in the SCI.

Using a content analysis approach, this paper investigates 26 years of SCI research based on a sample of 473 journal articles published in 77 peer-reviewed international journals.

There has been an increasing focus on empirical quantitative research design as compared to empirical qualitative, conceptual quantitative and conceptual qualitative designs in the field of SCI. Continued research interest in SCI from all parts of the world including North America, Europe and Asia illustrates the importance of SCI in the broader field of management.

The inclusion of a large number of journals provides greater confidence in the identified trends. However, as the top-tier journals publish only the most rigorous studies, considering all journals as equally weighted will give rise to a mixed pool of studies. Identifying trends from this mixed pool may provide more comprehensiveness at the cost of inclusion of non-core journals of the field.

The current study builds a holistic view of the methodological progress made so far in the field of SCI.

The purpose of this paper is to report the extent and trends of theoretical developments in the empirical quantitative manufacturing strategy (MS) literature published between the years 1966 and 2015 and provide research gaps that can be bridged by the future research.

This content analysis-based literature review analyzes 133 empirical quantitative MS articles published in refereed international journals in the discipline of operations management. These articles are categorized into five article types, namely, reporters, testers, qualifiers, builders, and expanders following the framework of Colquitt and Zapata-Phelan (2007). Analyses are carried out to unearth important trends in theory development in these article types.

Theory development is progressing in empirical quantitative MS literature. However, the trend is shifting from theory testing to theory building. MS discipline has borrowed theories from other disciplines. Expectancy theory and media richness theory are the micro theories while resource-based view, contingency theory, and trade-off theory are the major macro theories used in this domain. The most impactful constructs include environmental technology portfolio, enterprise resource planning, manufacturing proactiveness, and modularity-based manufacturing practices, and the most dominant article types are qualifiers and expanders.

The findings are based on the empirical quantitative articles published in the MS discipline which provides a partial view of theory development in the MS discipline.

The paper highlights predominant theories, frameworks, and constructs that can be utilized by practitioners to improve their understanding of MS, their ability to predict future scenarios and solve practical problems.

No such study has been conducted to date in the MS discipline, and it is hoped that this study will play a significant role in further developing theory in the MS discipline.

Using multiple theoretical lenses, the paper develops and empirically tests a service design-based framework of effective customer participation (CP) in service delivery. Particularly, the paper examines the impact of customer education on effective CP, besides the latter's effect on service quality. The direct and moderating effect of service modularity on the association between customer education and effective CP is also studied.

Covariance-based structural equation modeling is used to test the hypotheses using the survey data collected from the healthcare industry within Pakistan.

The results lend support for the presence of individual and mutually reinforcing effects of customer education and service modularity on effective CP in service delivery, ultimately affecting service quality.

Building on the CP and customer learning literature, this research extends the work on antecedents and consequences of effective CP in the larger domain of the service design and service delivery literature.

The findings reveal that service managers should design services such that by design, CP is ingrained within service delivery processes so that it is effectively managed during service delivery for superior service quality.

Given the already scant research that has either taken a narrower view of CP (mostly in pre- or post-service delivery), the current research makes one of the initial attempts to identify, theorize and empirically test the service design level antecedents for holistic CP spanning over the physical, behavioral and informational participation during the service delivery.

This paper aims to investigate the role of organizational and technological enablers and their arrangement and alignment with the external environment to facilitate supply chain integration (SCI), which consequently improves operational performance.

The paper uses a structural equation modeling approach and the data from 307 manufacturing firms from the International Manufacturing Strategy Survey version VI for hypotheses testing.

The findings of the study reveal that (1) the alignment and particular arrangement of the sociotechnical organizational factors enable the SCI of a firm, (2) suitable organizational arrangements help in leveraging SCI under environmental pressures, and (3) SCI leverages the relationship between sociotechnical organizational factors and operational performance of the firm.

This paper informs managers that SCI leverages the operational performance of firms under heightened environmental pressures. Developing suitable manufacturing technologies infrastructure followed by organizational practices aligned with the manufacturing technologies make it easier to realize SCI.

This study explores the interaction of technological, organizational, and environmental factors as driving and enabling factors that help achieve SCI. Firms that develop an open and collaborative environment and use communication and integrative technologies to complement their work practices better cope with external pressures. These modern forms of working and the use of technologies facilitate SCI and leverage it effectively to positively impact firm performance.

This study aims to understand how firms in developing economies acquire knowledge about social sustainability by leveraging the social capital embedded in firms' social network, through optimally governing relationships with network members. The study proposes that relational and contractual governance mechanisms interact with various structural facets of the network, resulting in varying degrees of social sustainability related knowledge acquisition.

Primary data collected with a multiple respondent survey design from 204 manufacturing firms located in major industrial cities in Pakistan were used. Confirmatory factor analysis (CFA) followed by hierarchical regression analysis is used to test the hypotheses.

The study finds that both relational and contractual governance mechanisms are positively related to a firm’s social sustainability-related knowledge acquisition, but their effectiveness is impacted by the structural facets of the network. Network size positively moderates the relationship between relational governance and social sustainability related knowledge acquisition, whereas both network range and strength of ties negatively moderate the relationship between contractual governance and social sustainability related knowledge acquisition.

Practitioners with resource-constrained firms should interact with their social network to leverage the knowledge and resources embedded within. The findings prescribe optimal governance strategies for different combinations of network structure variables to gain maximum knowledge about social sustainability.

The literature lacks information on the effect of network structure on the relationships between social network governance and social sustainability-related knowledge acquisition for resource-constrained firms in the developing economy context, making this study’s contributions unique.

This study aims to identify critical capabilities to address unforeseen and novel disruptions, such as those instigated by COVID-19, and explore their role as essential enablers of supply chain resilience and responsiveness, leading to improved performance.

The structural equation modeling technique was employed for analyzing the proposed associations using survey data from 206 manufacturers operating during the COVID-19 pandemic in a developing country, Pakistan.

Key findings show how improvisation and anticipation act distinctly yet jointly to facilitate supply chain resilience and responsiveness during the COVID-19 pandemic. Also, data analytics capability positively affects anticipation and improvisation, which mediate the effect of data analytics on supply chain resilience and responsiveness.

The findings contribute to the theoretical and empirical understanding of the existing literature, suggesting that a combination of improvisation, anticipation and data analytics capabilities is highly imperative for enhancing supply chain resilience and responsiveness in novel and unexpected disruptions.

This is the first study to examine the impact of data analytics on improvisation and anticipation and the latter as complementary capabilities to enhance supply chain resilience and responsiveness. The empirical investigation explores the interplay among data analytics, improvisation, and anticipation capabilities for enhancing supply chain resilience, responsiveness, and performance during the unforeseen and novel disruptions, such as brought to bear by the COVID-19 pandemic.

Considering information processing theory, this study aims to examine how big data analytics (BDA) mediates the influence of e-procurement coordination (EPC) and e-procurement transactional (EPT) applications on transparency and accountability (TA) in the procurement processes of firms within the United Arab Emirates' private sector. Furthermore, it investigates the moderating role of information processing capabilities (IPCs) in the relationships among EPC, EPT and BDA to clarify their collective impact on enhancing TA and procurement performance.

Data were collected from procurement and information technology professionals in the UAE’s private sector through a Web-based survey. Established scales were used to assess e-procurement, BDA, TA, procurement performance and IPCs. Data were analyzed using partial least squares structural equation modeling.

Integrating e-procurement with BDA demonstrates the potential to improve TA and procurement performance in the UAE’s private sector. BDA is positively associated with EPC and EPT applications use, contributing to increased procurement TA and enhancing overall procurement performance.

Organizations can enhance procurement TA by adopting e-procurement and BDA technologies.

This study identifies the mediating role of BDA in the relationship between e-procurement and procurement TA. In addition, it investigates the moderating role of IPCs in the relationship between e-procurement and BDA.

The purpose of this paper is to use institutional theory to develop the constructs of institutional pressures for social compliance and argue for a positive relationship between institutional pressures and Supplier Social Compliance Management System (SSCMS). Moreover, the authors theorize that the impact of institutional pressures on SSCMS is moderated by the supplier’s organizational culture. This is done in a particularly salient context, which is apparel manufacturing in a developing country.

The hypothesized model is tested using data of 164 suppliers from the apparel manufacturing sector. PLS-based structural equation modeling is used to test the direct and multi-group moderation hypotheses.

Empirical examination provides evidence that institutional pressures have a positive impact on supplier social compliance and the types of organizational culture have varied moderation effects.

This research is based on cross-sectional data from one industry. Future research should collect data from diverse sectors in different countries.

The findings suggest that consistent pressures from various stakeholders can increase supplier social compliance. In addition, the partial evidence for moderation effect of organizational culture indicates that supplier’s internal value system’s alignment with social compliance pressures plays an important role in determining how supplier acts on social compliance initiatives.

The issue of suppliers’ adoption of social compliance management systems has become prominent as a consequence of the shifting of manufacturing to developing countries. However, comprehensive frameworks explaining antecedents of adoption of SSCMS using large-scale empirical data are limited. In addition, findings on the relationship between supplier social sustainability practices and their antecedents are inconsistent.

The food industry is directly related to the health of humans and society and also that little attention has been paid to the assessment of sustainable supply chain risk management in this area, this will be qualified as an important research area. This study aims to develop a framework for assessing the sustainable supply chain risk management in the realm of the food industry (confectionery and chocolate) with a case study of three generic companies denotes as A1–A3. The proposed risk management was evaluated in three aforementioned manufacturing companies, and these three companies were ranked by the Fuzzy-Weighted Aggregated Sum Product Assessment (F-WASPAS) method in EXCEL.

The evaluation was carried out using integrated multi-criteria decision-making methods Best-Worst method (BWM)-WASPAS. Via an extensive literature review in the area of sustainable supply chain, sustainable food supply chain and risks in this, 9 risk criteria and 59 sub-criteria of risk were identified. Using expert opinion in the food industry, 8 risk criteria and 39 risk sub-criteria were identified for final evaluation. The final weight of the main and sub-criteria was obtained using the F-BWM method via LINGO software. Risk management in the sustainable supply chain has the role of identifying, analyzing and providing solutions to control risks.

The following criteria in each group gained more weight: loss of credibility and brand, dangerous and unhealthy working environment, unproductive use of energy, human error, supplier quality, quality risk, product perishability and security. Among the criteria, the economic risks have the highest weight and among the alternatives, A3 has obtained first ranking.

Modeling of risk for the food supply chain is the unique contribution of this work.