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This research aims to investigate the relationship between knowledge capabilities, engagement capabilities, operational capabilities and sustainable supply chain flexibility in the steel production industry. In addition, it seeks to understand how these elements contribute toward achieving a net-zero supply chain, under the moderation of industry dynamism.

In total, 371 people have responded to the self-administered survey that the authors developed. The nonresponse bias analysis was carried out before diving into fundamental assumptions, such as homoscedasticity and normality. The data's reliability and construct validity were assessed by using confirmatory factor analysis. The hypothesized conclusions were supported by subsequent regression outputs, strengthening the body of existing academic research.

The research's empirical results highlight the positive relationship among knowledge capabilities, operational capabilities, sustainable supply chain flexibility and net-zero supply chain, particularly under the influence of industry dynamism. Information obtained from the steel production industry corroborates these findings. Moderation role of industry dynamism in the relationship between operational capabilities, engagement capability and sustainable supply chain flexibility was found significant.

This conceptual framework clarifies how knowledge capability, dynamic capabilities and the flexibility of a sustainable supply chain interact. It highlights how these factors collectively work together to attain a sustainable supply chain with net-zero environmental impact.

Though business analytics capability continues to attract considerable industrial and scholarly attention, its holistic performance implications, especially in the post-COVID-19 period, have not been fully understood. Thus, there have been calls for a full understanding of the implications of BAC for achieving holistic, sustainable outcomes among firms. This study therefore examines the influence of BAC on the three dimensions of sustainable performance. We also proposed the mediating role of circular economy implementation.

We tested the proposed model using survey data from 246 managers of manufacturing firms in Ghana. Partial least squares structural equation modelling was employed to validate the model.

Our findings showed that BAC significantly enhances both sustainable performance and circular economy implementation. We also found a significant association between CEI and sustainable performance. We further found significant partial mediation of CEI in the BAC sustainable performance nexus.

Our study offers thoughtful insights for managers, policymakers and the academic community that firms should simultaneously implement circular models alongside building analytics competencies in the quest to achieve balanced performance outcomes.

To the best of our knowledge, our study is among the very few attempts to understand the mechanism that channels the benefits of BAC for a holistic, sustainable outcome.

This study aims to investigate the synergy between supply chain flexibility and sustainable supply chain management in the manufacturing industry. The study also investigates the roles of leadership practice, knowledge management practice and digital quality management practice in promoting supply chain flexibility that leads to sustainable supply operations from a practice-based perspective.

The authors developed a self-administered questionnaire and distributed it amongst manufacturing executives in India. Data were collected from 347 executives. Before moving on to assumptions, such as constant variance and normality, we have analysed them to check for possible nonresponse bias. Confirmatory factor analysis was employed to check the data’s reliability and consistency. PLS-SEM was used to validate the constructs and verify the hypotheses.

The findings indicate that knowledge practice and digital quality management practice, augmented by effective leadership practice, are positively associated with supply chain flexibility in the manufacturing sector. Further, the findings indicate a positive relationship between flexibility and supply chain sustainability.

The novelty of this study lies in the developed framework, wherein the authors attempted to rope in both flexibility and sustainability measures. The findings bridge a gap in the literature, especially in the context of the manufacturing industry, by demonstrating how leadership, KNP and DQMP collectively influence SCF and, ultimately, supply chain sustainability.

This study aims to investigate how Lean Six Sigma (LSS), a widely used paradigm that promotes competitive advantage of different organisations in a more sustainable and environmentally friendly way, affects operational performance in different organisational contexts. Although LSS is widely used to improve operational performance, the impact of LSS on operational performance appears to be different in different organisational contexts, prompting the attention of researchers and managers to shift from lean philosophy to the impact of contextual variables on the effectiveness of LSS implementation.

This study uses a quantitative research design and conducts an empirical study in Pakistan. The sample consists of 339 management employees with an effective response rate of 67.8% in various sectors. In this study, partial least square structural equation modelling is used to examine the relationships among the variables using the resource-based view (RBV) and dynamic capability theory (DCT) to support the model of this study.

This study reveals that the relationship between LSS and operational performance is partially mediated by green human resource management (GHRM) and internal environmental management (IEM). The moderating effect of the organisational developmental culture between LSS and operational performance is not identified, implying that the effect of developmental culture could vary under different cultures.

There is a lack of empirical studies investigating the role of GHRM, IEM and developmental culture in developing countries. This study extends the literature on the RBV and DCT in operational performance. The study’s outcome provides theoretical and practical implications for enhancing the effect of LSS implementation on operational performance in focal small and medium-sized enterprises (SMEs) through human and environmental management factors.

This study aims to theoretically hypothesize and empirically examine the impact of economic policy uncertainty (EPU) on firms' innovation performance as well as the contingency conditions of this relationship.

This study collects and combines secondary longitudinal data from multiple sources to test for a direct impact of EPU on firms' innovation performance. It further examines the moderating effects of firms' operational and marketing capabilities. A series of robustness checks are performed to ensure the consistency of the findings.

In contrast to the common belief that EPU reduces the innovativeness of firms, the authors find an inverted-U relationship between EPU and innovation performance, indicating that a moderate level of EPU actually promotes innovation. Further analysis suggests that firms' operational and marketing capabilities make the inverted-U relationship steeper, further enhancing firms' innovation performance at a moderate level of EPU.

This study adds to the emerging literature that investigates the operational implications of EPU, which enhances our understanding of the potential bright side of EPU and broadens the scope of operational risk management.

Quality management practices (QMP) have stood as one of the critical strategic differentiators for enhancing firm performance. The production and manufacturing industry is the main driving force of economic growth and social development for any developed or developing country. This study aims to focus on two primary dimensions of QMP: soft quality management practices (SQMP) and hard quality management practices (HQMP) from the socio-technical system perspectives. Based on institutional theory perspectives, the study explores the impact of SQMP and HQMP on quality performance (QP), innovation performance (IVP) and financial performance (FP) in Indian oil processing organizations.

A proposed research model is validated using 289 cross-sectional survey data collected from the senior officials of oil processing firms in India. Covariance-based structural equation modeling is used to verify the proposed theoretical model.

SQMP, directly and indirectly, influenced QP and IVP while only indirectly to FP mediated through QP. HQMP directly impacted only QP while indirectly to IVP and FP mediated through QP.

Impact of organizational legitimacy in proper utilization or application of QMP in achieving the firm sustainable growth. The future study may address the following Research Question (RQ) also: How do QMP enhance the legitimacy of organizations operating in the oil processing industries? Are there specific mechanisms or pathways through which improved performance contributes to enhanced organizational legitimacy? How does legitimacy impact the success and sustainability of organizations, particularly, within the context of the oil processing industries? Are there regulatory requirements or industry certifications that organizations must adhere to in order to maintain legitimacy?

Similarly, manufacturing firms establish QMP of interaction and maintaining relationships with all the stakeholders, total employee empowerment and involvement, workforce commitment and workforce management, helping to control their reputations and maintain legitimacy (Li et al., 2023). Similarly, in the health industry, the health management information system (HMIS), which uses the DHIS2 platform, establishes that isomorphism legitimizes data QMP among health practitioners and, subsequently, data quality. Further, it was concluded that mimetic isomorphism led to moral and pragmatic legitimacy. In contrast, normative isomorphism led to cognitive legitimacy within the HMIS structure and helped to attain the correctness and timeliness of the data and reports, respectively (Msendema et al., 2023). Quality, flexibility and efficiency of Big Data Analytics through better storage, speed and significance can optimize the operational performance of a manufacturing firm (Verma et al., 2023).

The study provides the academician with the different dimensions of QMP. The study demonstrates how a firm develops multiple performance capabilities through proper QMP. Also, it shows how vital behavioral and managerial perspectives are to QMP and statistically solid tools and techniques. The study draws their importance to risk factors involved in the firms. Since the SQMP play a vital role, thus, emphasis on the behavioral dimension of quality requires more investigation and is in line with hard technological advancements in the quality field.

The study of the impact of HQMP and SQMP on performance is still not established. There are inconsistencies in the findings. The study of the impact of HQMP and SQMP in oil processing industries has not dealt with before. The effects of HQMP and SQMP on the firm’s FP have least been dealt. In context to the intended influence of QM implementation, QP has not been examined as a potential mediator between FP. Research carried out in the past is limited to American and European countries. However, a limited study was done in Asia, and no study has been conducted in the Indian context.

This study evaluates the two-way relationship between digital capabilities and market competitiveness along with the twofold mediation of circular economy, business model innovation (BMI) and energy policies based on the dynamic capability and ecological modernization theories.

Data were compiled through questionnaire-based survey from the top management of new ventures and evaluated through partial least squares structural equation modeling to find results.

The study discovered a two-way relationship between digital capabilities and market competitiveness among new ventures along with the twofold mediation of circular economy and BMI. Surprisingly, the energy policies have no twofold mediation.

The findings have important implications for policy and guide the practitioners to focus on digital efficiencies to attain higher competitive advantage in the light of environmental initiatives.

Although past research has paid wide attention to the defined factors, but to the best of the author’s knowledge, this is the first study in these domains.

The present research aims to analyze the influence of Green Supply Chain Management (GSCM) on the Sustainable Performance (SP) of Spanish wineries, examining the intermediary roles of Circular Economy Capability (CEC) and Green Ambidexterity Innovation (GAI) within this primary relationship. In particular, the study seeks to answer the following Research Questions (RQs): (RQ1), does GSCM exert a positive impact on wineries’ SP? (RQ2), does CEC play a mediating role in the interconnection between GSCM and wineries’ SP? And (RQ3), does GAI function as a mediator in the interplay between GSCM and wineries’ SP?

The research utilizes Partial Least Squares Structural Equation Modeling (PLS-SEM) to evaluate the hypothesized theoretical model using primary data collected from 196 Spanish wineries from September 2022 to January 2023.

The results reveal a positive relationship between GSCM and SP in Spanish wineries, as well as the existence of positive partial mediations of CEC and GAI in this main linkage, which allows an affirmative answer to the three RQs formulated.

Distinguished by its innovative exploration, this research marks a pioneering effort in the uncharted field of scrutinizing CEC and GAI as mediating factors in the GSCM-SP nexus, thereby enriching the existing body of knowledge and opening new avenues for future academic research on sustainability in the wine industry.

This study aims to examine the influence of regulatory framework (RF), market dynamism (MDY), competitive intensity (CIN) and environmental public concern (EPC) on responsible innovation (RI) in the manufacturing SMEs of a developing country. Furthermore, the study examines the influence of RI on sustainable competitive advantage (SCA). Moreover, big data adoption (BDA) is used as a moderator between RI and SCA.

The study’s hypotheses are evaluated using the structural equation modeling methodology. The study collected data from a sample of 487 owners/managers of manufacturing SMEs using simple random sampling technique.

The results explain that RF, MDY, CIN and EPC significantly determine RI. Moreover, RI significantly determines SCA. Besides, BDA significantly moderates between RI and SCA.

For manufacturing SMEs to obtain SCA, RI is essential, and BDA is crucial to meet changing consumer demands for environmentally friendly products. With more environment-friendly initiatives, the natural environment will become more sustainable. Moreover, this research offers a comprehensive perspective to the public regarding the extent to which manufacturing enterprises are adopting RI and BDA.

The majority of earlier research on RI and BDA has been carried out in the context of large businesses. Institutional theory was used to look into the drivers of RI. Furthermore, BDA is used as moderating variable between RI and SCA.

Effective safety communication facilitates the sharing of relevant knowledge that helps to improve safety behaviours, such as superior hazard identification and compliance. This study aims to explore channels by which construction companies can effectively communicate health and safety (H&S) among communities of their operations.

Based on a quantitative research approach, this study addressed the knowledge gap through a cross-sectional survey of 250 contractors (comprising 155 building and 95 road contractors) involved in various projects in the Ghanaian construction industry. These contractors were selected by using a stratified simple random sampling technique. Data obtained from the survey was analysed through descriptive (i.e. frequencies, mean and standard deviation) and inferential (i.e. exploratory factor analysis) statistical analyses.

The findings from the mean scores revealed that all the 12 communication channels identified in the literature, confirmed through piloting and examined by the respondents, were important channels through which construction companies can effectively communicate H&S amongst communities of their operations. The exploratory factor analysis revealed a clustering of the 12 channels of communication into 5 components: “safety demonstration in the community”; “social media”; “mass media”; “community engagement”; and “opinion leaders”.

This study offers construction project managers the means of managing one of the major stakeholders of a construction project (the community). It provides an actionable opportunity that can be leveraged strategically to integrate community members into projects to promote synergy and local content inclusion while gaining a peaceful atmosphere to achieve their project goals.

Practically, this study provides construction project managers with a means of managing one of the major stakeholders of a construction project (the community) and also demonstrates the integration of community members into projects to promote synergy and local content inclusion. This would give construction organisations a peaceful atmosphere to accomplish their project objectives.

The social implication of this study is that the study offers society a means of creating safer Ghanaian communities by offering them the knowledge of identifying hazards and avoiding risky behaviours, creating a good safety atmosphere in these communities.

This study presents construction organisations with a unique opportunity to transfer and share novel external knowledge within a different social system (the community). It contributes to the state-of-the-art knowledge in H&S communication by providing channels through which H&S can be communicated in a developing country such as Ghana.