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Configuring strategies to ensure a health service provider’s resilience when extreme disruptions occur is not simple. Optimal configuration in such circumstances is rare. Therefore, this research has relied on the dynamic capability view (DCV) to develop a decision-support framework for configuring resilience strategies that will mitigate the worst challenges and improve the performance of health service providers during “extreme” disruptive events.

The research adopted a multi-study, multi-method approach comprising interviews, quality function deployment (QFD), and fuzzy set qualitative comparative analysis (fsQCA).

The findings reveal that, during a crisis, standalone resilience strategies are not enough. To guarantee performance, healthcare services require a combination of resilience strategies and a negation of challenges.

This research extends our current knowledge of healthcare operational management by offering optimal configurations of resilience strategies to manage performance during extreme disruptions. Thus, it offers strategic insights into how health-service managers can be more resilient during a crisis.

Recycling is associated with positive social and environmental impact, but previous studies have overlooked the cost of recycling operations. Based on the dynamic capability view, the purpose of this study was to identify and evaluate risk factors and resilience strategies within the recycling industry, prioritize these factors and identify the optimal combination of resilience strategies and risk factors to improve market performance.

The research questions were addressed in three subsequent studies. In Study 1, qualitative interviews were conducted to identify risk factors and strategies to mitigate those risks. In Study 2, quality function deployment methodologies were implemented via case studies derived from three different companies. Based on the results of Studies 1 and 2, in addition to the use of fuzzy set qualitative comparative analysis, Study 3 aimed to determine the optimal combination of risk factors and strategies impacting market performance.

The results across the three studies revealed a number of risk factors as well as which risk factors and resilience strategies have the greatest impact on market performance. Specifically, it was found that higher levels of readiness, response and recovery strategies lead to greater market performance, whereas weak readiness, response and recovery strategies, along with low societal, environmental and health and safety risk factors, significantly inhibit performance.

This research extends current understandings of market performance in relation to recycling industry management and offers insight for decision-makers toward combating significant risk factors in business-to-business settings.

Society's concerns about environmental degradation have tightened competitive pressure and brought new challenges to small firms. Against this backdrop, this study develops a decision model to determine a suitable configuration for entrepreneurial orientation to help small firms manage circular economy challenges and improve their performance.

This study used a multi-study and multi-method approach. Study 1, through qualitative in-depth interviews, identified a portfolio of circular economy challenges and entrepreneurial-orientation components. Study 2 applied the quality function deployment technique to determine the most important components of entrepreneurial orientation. Study 3 adopted a fuzzy set qualitative comparative analysis to determine the best configuration for challenges and components.

The findings reveal a set of challenges and identify the salient need to combine the negation of these challenges with the components of entrepreneurial orientation; this combination will improve the performance of small firms. The research extends the current knowledge of managing circular economy challenges and offers decision-makers insights into improving their resilience.

The use of the dynamic capability view, together with the multi-study and multi-method approach, may lead to an appropriate reconfiguration of entrepreneurial orientation, which, to date, has received limited empirical attention in the small-business-management discipline.

Drawing on the dynamic capability view (DCV), this research determines the suitable configurations of resilience strategies for sustainable tourism supply chain performance amidst “extreme” disruptive events affecting the entire supply chain.

This research applies a multi-study and multi-method approach. Study 1 utilizes in-depth interviews to identify a list of tourism supply chain sustainability risks and resilience strategies. Study 2, using quality function deployment (QFD) technique, determines the most important resilience strategies corresponding to highly significant risks. Study 3, on the other hand, adopts a fuzzy set qualitative comparative analysis (fsQCA) to determine the best recipe of resilience strategies and risks to make the tourism supply chain performance sustainable.

The findings reveal that sustainable tourism performance during an extreme disruptive event (e.g. COVID-19 health crisis) depends on the combined effect of tourism resilience strategies and risks instead of their individual effect.

The research findings offer significant managerial implications. Managers may experiment with multiple causal conditions of risks and resilience strategies to engender the expected outcome.

This research extends current knowledge on tourism supply chain and offers insights for managers to mitigate the risks and ensures sustainable performance in the context of extreme disruptive events.

Grounded in dynamic capability view, this research develops a decision support model, which enables determining consistent and sufficient configurations of resilience strategies to mitigate vaccine operations and distributions (O&D) challenges and thus improve O&D performance (i.e. O&DP).

Through qualitative in-depth interviews, the authors first identified challenges and resilience strategies related to vaccine O&D. Next, using the quality function deployment technique, three quantitative case studies were performed to determine the most important challenges and resilience strategies. Finally, utilising fuzzy set qualitative comparative analysis, the authors determine sufficient conditions of challenges and strategies leading to improve vaccine O&DP.

The findings reveal that strategies alone are not effective instead a combination of strategies and nullification of challenges is needed to enhance vaccine O&DP. Further, the findings revealed that not only the presence of challenges, but also the lack of strategies reduces the vaccine O&DP.

The authors' findings will assist the health service decision-makers for strategizing an effective and efficient vaccination program by selecting the right combination of challenges and resilience strategies.

The authors' study develops a novel decision support model and offers significant learning for the future vaccine O&DP.

This paper aims to investigate the conditional indirect effect of innovativeness on performance via supply chain agility (SCA) in the service industry at higher and lower collaborative relationships.

The hypothesised model is operationalised with survey data from 245 Australian service firms collected via LinkedIn and analysed using structural equation modelling and fuzzy set qualitative comparative analysis (fsQCA).

The analysis found that SCA significantly mediates the relationship between innovativeness and performance. Further, the conditional indirect effect of innovativeness on performance via SCA was significant when the collaborative relationship was high. Results also revealed that a configuration of both innovativeness and agility better predicts performance.

This study is an early attempt to investigate SCA in service industries by scrutinizing SCA from an innovative point of view. While previous studies have demonstrated the role of innovativeness in enhancing a firm's performance, this study explores this link further by investigating the conditional indirect effect of innovativeness on performance via SCA at different levels of collaborative relationships.

The purpose of this paper is to examine the impact of different food choice motives on attitude and, subsequently, the impact of attitude, subjective norm and perceived behavioural control on the purchase intention of Pakistani ethnic food, based on the food choice motives theory and the theory of planned behaviour.

Using an intercept survey, data were collected from 559 local tourists coming from different areas of the country, who visited Swat, Gilgit and Muree regions of Pakistan, and the data were analysed using SmartPLS software.

In terms of direct effects, mood, familiarity, natural content and price were found to be significant predictors for attitude, whereas attitude, subjective norm and perceived behavioural control were found to positively affect intention to purchase Pakistani ethnic food. In addition, attitude was found to serve as a mediator for the relationships between mood, familiarity, sensory appeal and price on purchase intention.

This study has shed some light on the food choice behaviour of domestic tourists opting for their own local cuisine in Pakistan, which is under-represented in the tourism and food research literature. We also tested an integrated model of food choice motives and the theory of planned behaviour in modelling purchase intention in the tourism perspective. The present study also adds to the existing literature on mediation by modelling attitude as a mediator between food choice motives and purchase intention in the context of a developing country.

Building upon the theory of planned behaviour and the entrepreneurial event model, the purpose of this paper is to test the effects of the following covariates in predicting entrepreneurial intention among tourism students in Bangladesh, namely, attitude, subjective norm, perceived behavioural control (PBC), perceived desirability and perceived feasibility.

A total of 137 private university students participated in the study by means of questionnaire. The hypotheses were tested using partial least squares (PLS) analysis.

Findings indicate that attitude and subjective norm significantly influence perceived desirability. It was also found that subjective norm and PBC positively influence perceived feasibility. Interestingly also, both perceived desirability and perceived feasibility predict entrepreneurial intention.

The study proves the robustness of the integration of the two intent models in explaining entrepreneurial intention in a developing country. The new PLS predict algorithm has been used to generate and evaluate predictions from the path model estimations.

Construction safety is a crucial aspect that has far-reaching impacts on economic development. But safety monitoring is often reliant on labor-based observations, which can be prone to errors and result in numerous fatalities annually. This study aims to address this issue by proposing a cloud-building information modeling (BIM)-based framework to provide real-time safety monitoring on construction sites to enhance safety practices and reduce fatalities.

This system integrates an automated safety tracking mobile app to detect hazardous locations on construction sites, a cloud-based BIM system for visualization of worker tracking on a virtual construction site and a Web interface to visualize and monitor site safety.

The study’s results indicate that implementing a comprehensive automated safety monitoring approach is feasible and suitable for general indoor construction site environments. Furthermore, the assessment of an advanced safety monitoring system has been successfully implemented, indicating its potential effectiveness in enhancing safety practices in construction sites.

By using this system, the construction industry can prevent accidents and fatalities, promote the adoption of new technologies and methods with minimal effort and cost and improve safety outcomes and productivity. This system can reduce workers’ compensation claims, insurance costs and legal penalties, benefiting all stakeholders involved.

To the best of the authors’ knowledge, this study represents the first attempt in Bangladesh to develop a mobile app-based technological solution aimed at reforming construction safety culture by using BIM technology. This has the potential to change the construction sector’s attitude toward accepting new technologies and cultures through its convenient choice of equipment.

The purpose of this study is to empirically examine the determinants and outcomes of Green Banking adoption and the moderating influence of top management commitment under the corporate environmental ethics ideology. External stakeholder pressures are analyzed as determinants of Green Banking adoption. Brand image and operational efficiency are examined as outcomes of this business ideology. Green Banking adoption is adapted as a second-order construct with four first-order reflective constructs to ensure in-depth conceptualization of the construct.

Green Banking adoption is studied at the bank branch level in a developing country, i.e. Pakistan. The data is collected from the branch managers of 212 bank branches from five major cities of Pakistan through mails. Self-administered survey was used for the data collection. The data was analyzed through the application of partial least square-structured equation modeling in SMART PLS 3.2.9. The measurement model and the structural model of the research framework were analyzed through the two-stage approach of the second-order analysis.

The results indicate a positive relationship between customer and competitor pressure and Green Banking adoption among bank branches in Pakistan depicting an influence of various environmental ethical pressures on bank’s adoption practices. Community pressure was shown to have no significant influence on Green Banking adoption at the branch level. The moderator of top management commitment caused a positive influence on the relationship between all the studied stakeholder pressures and Green Banking adoption. Branch managers reported branch image and operational efficiency to be enhanced due to Green Banking adoption.

This study attempts to fill in the significant gap in Green Banking adoption literature through an empirical analysis of Green Banking’s second-order construct. Currently, limited literature exists on the various aspects of Green Banking adoption, and an empirical study has not been conducted at the bank branch level. The study contributes significant practical, theoretical and methodological contributions to the area of Green Banking.