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In structural fire engineering, the design of columns is done either by prescriptive approaches or by empirical equations derived from experimental research. Performance-based design is the emerging methodology for designing structures under fire, which is case-specific. There is a need to develop design equations from first principles to design/find the residual strength of the column at elevated temperatures. The present study aims to develop equations from stress block parameters to find the residual strength of reinforced concrete (RC) columns subjected to elevated temperatures.

The stress-strain variation across the cross-section of the RC column is determined at elevated temperatures. Based on the updated stress distribution diagram, stress block parameters are derived for various depths of neutral axis (NA) and different temperatures. Using updated stress block parameters, Pu-Mu interaction curves are generated for elevated temperatures. The results are verified against conventional methods and experimental results.

The load-carrying capacity calculated from the proposed methodology is analogous to the experimental results. The methodology can be utilized to estimate the residual strength of RC columns subjected to elevated temperatures.

The work done here attempts to develop the equations to estimate the residual strength of the column. The work involves calculating the strength of columns subjected to fire curves.

This study seeks to investigate the ability of blockchain technology (BCT) to increase circular economy (CE) practices in the electronics industry, emphasising India and Taiwan.

The study adopts a mixed-methods approach. Initial qualitative semi-structured interviews examined how BCT could inform CE practice. The qualitative aspects were followed by the Analytical Hierarchy Process (AHP), integrating qualitative and quantitative approaches, and fuzzy-set Qualitative Comparative Analysis (fsQCA), to analyse data from 391 industry experts surveyed.

The results show that the BCT has great potential to promote CE processes by improving the aspects of security, transparency and traceability. BCT adoption is driven by a conducive regulatory regime, stakeholder collaboration, and the availability of required technology.

By identifying key drivers and requisite requirements for successful BCT adoption in CE practices, this research offers critical guidance for policymakers, practitioners and researchers. It adds to the wider conversation about how emerging technologies can support sustainability and efficiency in industry.

This study contributes to the literature by providing a new lens to study BCT and CE practices intersectionality, particularly in the context of the emerging electronics industry and in countries such as India and Taiwan. Unlike previous research that studied either BCT or CE independently, this study uniquely illustrates how the principles underpinning these concepts, when implemented together, can positively impact sustainability outcomes within a resource-intensive industry notorious for generating highly significant waste streams.

This paper aims to analyse the fiscal performance of non-special category states of India.

This study applied a global Malmquist productivity index (GMPI) to measure the state fiscal performance, using eight fiscal indicators to measure the fiscal stance of 17 non-special category states of India over the period 2000–2020.

The findings reveal significant inter-state variations in all the fiscal indicators over the period. Goa, Haryana, Kerala, Chhattisgarh, Odisha and Jharkhand have been the best fiscal performers in recent years. The states Chhattisgarh, Jharkhand and Odisha present an interesting case; their fiscal performance index (productivity) score increased more than 1% during the sample period as compared to other states. This improvement is primarily associated with revenue efficiency, expenditure quality and size of capital outlay.

The conventional Malmquist productivity index uses a geometric mean form of two contemporaneous measures of productivity change and this index faces a potential linear programming infeasibility problem in measuring cross-period directional distance functions. Therefore, productivity growth measured using indexes should be interpreted with caution. Therefore, the results obtained based on the GMPI might be missing the sensitive check.

This study is a pioneering initiative in India, constructing a fiscal performance index to measure and rank the non-special category states of the country based on GMPI, thus addressing limitations in previous studies on index formation techniques and selecting fiscal indicators.

This study aims to propose mindfulness as a key factor in merchants’ adoption of mobile payments through the trust and perceived value pathways in an unorganized sector.

Data were collected physically via a structured questionnaire from a random sample of 350 merchants from the unorganized retail sector in India. Partial least squares-based structural equation modeling was used to analyze the data.

Mindfulness plays a key role in the formation of trust and perceived value, which further influences merchants’ intentions to adopt mobile payments. Furthermore, moderating effects of technology anxiety and skepticism were also observed.

To the best of the authors’ knowledge, this study is the first to illustrate mindfulness in merchants of the unorganized sector in adopting mobile payments to influence the adoption intentions of mobile payments in emerging markets.

The purpose of this paper is to provide an incisive commentary on the role of replication in advancing knowledge accumulation in organizational science. For research to be credible, it must be replicable. However, replication studies are seldom published in high-quality management research journals. Drawing on insights from other disciplines, this essay offers a critical analysis of the replication process. The central conclusion of the essay is that replication should be firmly integrated into the scientific process within management and related fields. Doing so will not only advance robust and reliable theories but also yield valuable lessons for managerial practice and inform sound policymaking.

To structure the argument that replication ensures the validation of theories, refinement of methodologies and greater applicability of research findings, this essay uses Simon Sinek’s Why, How and What framework to highlight the essential role of replication research in advancing management studies. By addressing why replication is critical, how it can be effectively conducted and what the authors can do to promote replication research in organizational studies, the essay underscores its importance in building a reliable and credible foundation for knowledge.

Replication serves as a cornerstone of academic rigor, promoting the cumulative growth of knowledge. This essay outlines the essential steps for conducting robust replications of prior research through three approaches: literal, operational and constructive replication. Furthermore, it proposes actionable strategies for individual, doctoral programs and institutions (i.e. journals and conferences) to enhance transparency and accountability in management research by leveraging replication as a critical tool.

The originality of this essay lies in addressing the underrepresentation of replication research in management, despite its critical role in ensuring scientific rigor. Drawing insights from different disciplines, it provides a framework for conducting replication studies, emphasizing their value in validating theories and bridging the gap between research and practice. By proposing actionable steps for fostering a culture of replication, the essay advocates for increased transparency and accountability in management research. Its main contribution lies in highlighting the necessity of replication as a foundation for robust theory-building, practical insights and evidence-based policymaking, enhancing the credibility of the field.

To attain a competitive edge, it is essential to realize the significant critical success factors (CSFs) that contribute to the adoption of Quality 4.0 (Q4.0) in manufacturing organizations. Therefore, the study aimed to analyze CSFs for Q4.0 implementation in manufacturing small and medium-sized enterprises (SMEs) using multi-criteria decision-making (MCDM) tool.

The present study begins with a systematic literature review of past studies about Q4.0 implementation in manufacturing, followed by the identification of CSFs. Further, a case study was conducted wherein 42 CSFs identified were grouped into five dimensions. Best–worst method is a MCDM tool applied as a solution methodology for the analysis of CSFs based on expert opinion and priority order of CSFs attained.

The priority order of CSFs is obtained. Based on the findings, significant CSFs are “Data prediction and Analytics,” “Organizational culture towards Quality 4.0” and “Machine to Machine communication.”

The shifting market dynamics incorporate Q4.0 inclusion for realizing zero defects and high traceability in automotive SMEs. The present study offers implications for industry managers and practitioners by delivering insights on how Q4.0 could be serving automotive systems and CSFs that industry authorities need to pay attention to effectively adopt Q4.0 in the current quality systems. The study will facilitate industry practitioners to meticulously examine CSFs for Q4.0 toward the improvement of SME performance.

The identification of CSFs for Q4.0 adoption in manufacturing SMEs, along with the prioritization of CFSs using the MCDM tool, is the original contribution by the authors.

The multidimensional decision-making framework of sustainable entrepreneurship affects student behavior in higher education institutions. Thus, the sustainable entrepreneurship environment has long attracted scholars and policymakers. Based on “Stimulus Organism Response (SOR),” this study examines serial mediation of sustainable entrepreneurial education and entrepreneurial motivation to link sustainable entrepreneurial environment and intentions. Further, it also explored the moderating role of a sustainable entrepreneurial environment.

A quantitative study was conducted with a sample of 408 students of Indian higher education institutes in NCR using a purposive sampling technique. Smart PLS-SEM was utilized for assessing the structural model, and a goodness-of-fit assessment was done with Amos 22.

The findings revealed the significant impact of a sustainable entrepreneurial environment on sustainable entrepreneurial education, motivation and sustainable entrepreneurial intentions. Furthermore, sustained entrepreneurial education has the most important influence on student motivation and considerable serial mediation. Also, the moderating role of a sustainable entrepreneurial environment was found to be significant for linkages of entrepreneurial motivation and sustainable entrepreneurial education with sustainable entrepreneurial intentions.

The study will assist HEIs and scholars in understanding the role of sustainability in entrepreneurial courses to increase student intentions to start sustainable businesses.

This study helps policymakers and HEIs understand what motivates students to pursue sustainable entrepreneurship. This research might improve the well-being of education stakeholders and the community in achieving sustainable development goals.

The study is the first to analyze how sustainable entrepreneurial education and motivation serially mediate the link between a sustainable entrepreneurial environment and aspirations to establish a sustainable business and contribute to the existing literature of SOR from a new perspective.

The adoption of metaverse in manufacturing holds significant benefits, but there are several barriers to its seamless integration. This paper aims to identify such barriers and prioritize them in a manner that allows industrial leaders to strategize for smooth adoption.

In this study, we applied two-stage methods, first the identification and validation of barriers through an empirical study applied to Exploratory Factor Analysis (EFA). A purposive sampling technique and snowball sampling facilitated data collection from these expert sources. Through snowball sampling, additional contacts working in the metaverse field were reached, resulting in 235 possible respondents; the survey yielded 104 completed responses. Thereafter, the best-worst method (BWM) was used to measure and rank the barriers.

The study results show that the two most critical barriers are “Lack of data security and privacy” and “Lack of integration compatibility with existing systems.” Such findings inform industry leaders of specific recommendations for structural changes, training programs, necessary technological investments and collaborative efforts to overcome these barriers.

This work adds significantly to academic discussion by prioritizing barriers towards integrating metaverse technology in manufacturing. In addition, this strategic methodology aids in critical appraisal and ranking of barriers for successful adoption. This study also identifies key barriers but acknowledges that other unexamined factors might be lurking in the background, such as virtual economy, financial risks and cross-border legal issues.

The study’s conclusions cannot be generalized to the other sectors, thus indicating the necessity of carrying out a comparative multi-sector study in the future.

To the best of the authors’ knowledge, the study on systematic prioritization of barriers to adopting metaverse technology in manufacturing is the original contribution of the authors.

The purpose of this paper is to conduct a critical analysis of the commonly projected visions on the future of built environment, focusing on transformative research. The primary question is will the construction sector be able to make the projected transformative leap even if the history of technology adoption in construction suggests otherwise? And, what role can academic research play?

This paper is based on a reflective research and qualitative review of academic articles, white papers and reported projections for the future of construction. The reflections are based on discussions with colleagues and students, including thought experiments.

There is a general agreement across various sources about the key technical and social drivers for the future of construction. However, these projections seem to be emanating from industry insiders, and more diversity and creativity is needed in exploring alternative possibilities.

The paper should be useful for researchers in assessing their research strategy, especially those aiming to focus on the future of construction and transformative research. The findings of this paper suggest the need for collaboration and explorations with diverse disciplines, including those that may not appear immediately connected to digital construction.

The paper should be useful for individuals and organizations, especially start-ups that are seeking novel opportunities to disrupt the future of construction.

The originality and value of this research lies in a timely critique of the commonly projected trends in the future of digital construction. The use of reflective research and thought experiments emphasizes the need for divergent thinking and creative research methods in construction research.

The purpose of this paper is to identify key sustainability enablers that are crucial for resilient humanitarian supply chains (RHSCs) during natural calamities and pandemics. It also aims to subsequently rank them using the fuzzy analytic hierarchy process (AHP) to assess their importance. The goal is to enhance stakeholders’ understanding, enabling them to implement effective strategies to mitigate disruptions and safeguard RHSCs.

This study applied the fuzzy AHP as part of the multicriteria decision-making (MCDM) framework to prioritize sustainability enablers that are crucial for the resilience of humanitarian supply chains (RHSCs).

The research findings indicate that the operational enablers category is the most critical, followed by the infrastructural and environmental categories, which rank as the second and third most critical, respectively. Among the sub-categories, “Hyper-connectivity,” “Renewable energy sources for infrastructure” and “Sustainable procurement and sourcing practices” are identified as the top three, highlighting the urgency for immediate attention.

While this research provides valuable insights, it also presents some limitations and opens new avenues for future study. First, the study predominantly focuses on natural calamities and pandemics, potentially overlooking other catastrophic events that could jeopardize humanitarian supply chains. Second, to eliminate potential biases and develop a more robust model, it would have been beneficial to explore other modern MCDM methods. It is possible that these alternative MCDM techniques might yield better results than fuzzy AHP. Future research could explore a broader range of crises to comprehensively address the varied dynamics influencing Resilient Humanitarian Supply Chains (RHSCs) while also experimenting with different cutting-edge MCDM methods. Additionally, future research could dive deeper into the top-ranked technology enablers, particularly focusing on human-technology interactions within humanitarian supply chains, a topic that is currently being discussed among experts.

The manuscript emphasizes the importance of global preparedness and collaborative efforts among governments, nongovernmental organizations and communities. Through its discussion of social enablers, this study aims to develop RHSCs that prioritize the well-being of disaster-affected populations and individuals used in this field.

This research offers unique insights by ranking sustainability enablers for resilient humanitarian supply chains (RHSCs) amid natural calamities and pandemics, providing novel and actionable contributions.