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Obtaining building permit certificate is an essential component of construction endeavors, but it can be cumbersome sometimes. The process is frequently beset with obstacles, including bureaucratic impediments, red-tapism, prolonged authorization protocols and insufficient inter-agency collaboration which result in project timeline extension, cost escalation and applicant dissatisfaction. Therefore, this study aims to examine customer satisfaction with the assessment of building construction permit certificates in Lalitpur, Nepal.

Following the notion of evaluation model theory, this study adopts an explanatory research design to determine the causal relationship between latent and observed variables. People who have recently completed the construction of their building and those people whose construction work is pending make up the population for the study. A total of 198 samples were collected by following the convenience sampling method from Lalitpur, Nepal. The primary data are collected by using the structured questionnaire with the interview process where the data are statistically evaluated using descriptive and inferential analysis using the KOBO toolbox, SPSS and AMOS. The connection between variables was examined using structural equation modeling (SEM).

Results indicate that the negligence of the employees, the attitude of the employees, the need for additional costs and the hiring of the agent are the most significant obstacles encountered by customers during the process of getting construction permit. Regarding the whole assessment system, the general population expresses displeasure. SEM results indicate that environment and quality are significantly related to customer satisfaction.

This paper's novelty lies in its Nepal-specific inquiry into the relationship between building permit acquisition procedures and customer contentment. The study provides a distinctive viewpoint on this context by combining evaluation model theory and SEM. The localized approach emphasizes the importance of customized strategies to improve customer satisfaction, adding to the current literature on the subject. The study's use of SEM as a quantitative analysis tool enhances its methodological rigor. This interdisciplinary research offers valuable insights for academics, practitioners and policymakers in Nepal and contributes to the wider field of construction and customer satisfaction.

Since teaching practice is the most important within-school determinant of student learning outcomes, a deepened understanding of how and why school leadership contributes to effective teaching is needed. This article aimed to systematically review the knowledge that has been accumulated about the indirect relations between school leadership and instructional practices.

The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guided the selection of relevant articles from the databases Scopus and Google Scholar. Twenty-six published works met the eligibility criteria and were included in the narrative synthesis and content analysis.

The most frequently measured mediators of the effects of school leadership on teaching practice were teacher collaboration, professional learning and teacher self-efficacy. Most studies simultaneously modeled multiple mediated pathways from school leadership to teaching practice. However, only a few analyzed studies used time lags when examining relationships between constructs.

This is the first study to systematically review knowledge on pathways through which school leadership is related to classroom instruction. Thus, this review provides a comprehensive understanding of processes through which school leadership achieves its effects on instructional practices.

The tourist industry has to adopt a big data-driven foresight approach to enhance decision-making in a post-COVID international landscape still marked by significant uncertainty and in which some megatrends have the potential to reshape society in the next decades. This paper, considering the opportunity offered by the application of the quantitative analysis on internet new data sources, proposes a prediction method using Google Trends data based on an estimated transfer function model.

The paper uses the time-series methods to model and predict Google Trends data. A transfer function model is used to transform the prediction of Google Trends data into predictions of tourist arrivals. It predicts the United States tourism demand in Italy.

The results highlight the potential expressed by the use of big data-driven foresight approach. Applying a transfer function model on internet search data, timely forecasts of tourism flows are obtained. The two scenarios emerged can be used in tourism stakeholders’ decision-making process. In a future perspective, the methodological path could be applied to other tourism origin markets, to other internet search engine or other socioeconomic and environmental contexts.

The study raises awareness of foresight literacy in the tourism sector. Secondly, it complements the research on tourism demand forecasting by evaluating the performance of quantitative forecasting techniques on new data sources. Thirdly, it is the first paper that makes the United States arrival predictions in Italy. Finally, the findings provide immediate valuable information to tourism stakeholders that could be used to make decisions.

Specifically, this study aims to examine residents’ perceptions regarding the following: the sociocultural, environmental and economic impacts generated by the presence of Airbnb and the irritability caused by the presence of Airbnb based on Doxey’s Doxey (1975) irritation index (i.e. index).

Twenty-one semistructured in-depth interviews were conducted between February and March 2021 with residents of three condominiums in the Huancaro residential complex. Data were analyzed using the qualitative data analysis software ATLAS.ti 8.

Results showed that participants perceived negative economic impacts regarding investments, jobs, real estate prices and overall cost of living; negative sociocultural impacts regarding criminality, social conflicts and cultural exchange; and negative environmental impacts regarding sanitation in the context of the pandemic and the state of the Airbnb apartments. Further, it was found that participants related to the following three of the four stages of irritability: euphoria, apathy and annoyance.

It is necessary to complement the information with the perceptions of the residents about the city’s authorities and managers in the hotel business before the stage of the COVID-19 pandemic and the current stage.

The study identifies improve Airbnb operations like establishing health paraments and defining cohabitation rules at the condominiums.

The residents consider that visitors’ returns produce positive and negative impacts on the quality of life being important for understanding their perceptions.

Short-term rental companies, such as Airbnb, generate a range of impacts on urban residents, particularly when travelers encroach on areas of the city beyond the traditional “tourist bubbles.” This study explored the perceptions of Airbnb’s impacts on activities among residents of Huancaro, a residential section of Cusco-Peru, in the context of tourism reopening after a year of an almost complete halt in tourism activities because of the COVID-19 pandemic. The study also highlighted the heterogenetic responses to Airbnb within the community.

Increasing the need for education for sustainable development in universities requires an understanding of the predictors of students’ environmental concern (EC). In this paper, the authors focus on the EC of business students because of their future responsibility for business operations regarding the exploitation of natural resources. The aim of the study is to examine the predictors of business students’ environmental concern.

Based on the Norm Activation Model as the theoretical framework, this study hypothesizes the model of EC with two main predictors: ascription of responsibility for the environment (AOR), driven by locus of control and self-efficacy (LC/SE), and awareness of positive consequences of consumption reduction on the environment (AOC), driven by perceived environmental knowledge. Structural equation modelling was applied to confirm the conceptual model based on the responses of business students from six countries (Czech Republic, Croatia, Hungary, Poland, Slovakia and Spain) collected through an online survey.

The environmental concern of business students is predicted both by the ascription of responsibility and by awareness of consequences; however, the ascription of responsibility is a stronger predictor of EC. A strong impact was found for internal locus of control and self-efficacy on AOR, as well as a weaker influence of perceived environmental knowledge on AOC.

Sustainability education dedicated to business students should provide environmental knowledge and strengthen their internal locus of control and self-efficacy in an environmental context.

This paper aims to uncover the insights derived from past experimental studies in promoting sustainable tourism. It also advocates for leveraging future experimental designs to position tourism as a catalyst for positive change toward sustainable development goals.

A review of previous literature examines the contributions of experimental design in both tourist studies and employee studies within the tourism fields.

Previous experimental studies have explored effective methods shaping tourists’ sustainable behaviors and management strategies contributing to employees’ decent work. The importance of integrating digital technology in these interventions is highlighted. A future research agenda encompassing three dimensions – technological progress, theory development and practical implications and research design – is proposed to leverage experimental studies for fostering sustainable development within the tourism industry.

This study, through a comprehensive review, highlights the significant impacts of previous experimental studies on encouraging responsible consumption among tourists and championing improved working conditions for employees. It underscores the necessity for enhanced experimental design, which should integrate theoretical frameworks and prioritize technological innovations to address real-world challenges. These improvements are crucial for advancing the tourism industry toward greater sustainability.

The purpose of this study is twofold. On the one hand, it studies the impact of IFRS 9 adoption on the firm value; and on the other hand, it investigates the impact of the classification of financial assets on the firm value.

The study covers a sample of 55 listed banks in the Middle Eastern and North African (MENA) region. Data is collected for three years (2017–2019).

The findings show that banks’ value is not impacted by IFRS 9 adoption but by financial assets’ classification. Firm value is positively affected by fair value through other comprehensive income assets, while it is negatively affected by amortized cost and fair value through profit or loss assets. The results of the additional analysis show consistent outcomes.

This research reveals important managerial implications. Priority should be given to the financial assets’ classification strategy following the adoption of IFRS 9 to boost the market valuation of banks. It may be useful for investors, managers and regulators in their decision-making.

This study enriches previous research as IFRS 9 is a new standard, and its adoption consequences need to be investigated. A few recent studies have focused on IFRS 9 as a whole or on other parts of IFRS 9, namely, the impairment regime and hedge accounting and concern developed contexts. However, this research adds to the knowledge of capital market studies by investigating the application of IFRS 9 in terms of classification in the MENA region.

Building from calls for greater interdisciplinary research in interpreting family business phenomena, we integrate research on work–family conflict, detachment and burnout from both organizational and family studies. Using the characteristic work–family integration of family business settings as a backdrop we develop theoretical arguments that emphasize the reconciliatory role of interdisciplinary perspectives to explain the ostensibly contradictory findings in extant research. The diminishing barriers separating work and life spheres occurring in most global industries illustrate the importance of conceiving the study of work–life phenomena through recursive, rather than linear, logics and emphasizing the relevance of family business research in providing a contextual foundation for interdisciplinary discussions.

This theoretical paper integrates perspectives from the literatures on organizational behavior and family systems theory to form six propositions on the relationship between work–life integration and the antecedents and consequences of burnout and psychological detachment.

This paper explores the nuances that overlapping work and family roles might be a source of both harmony and discord in family firms. In doing so, our research contributes to the growing relationship between family systems theory and family business research, and creates the foundation for future empirical studies on the psychological dynamics that underlie work–family integration.

This research advances a novel perspective on the interactions between work–family integration and burnout and detachment, and does so by noting that the way the family business literature treats work–family integration may apply to any employee that experiences tension between these different spheres of their identity.

The novel blockchain technology can be leveraged, owing to the growth in computing power and its widespread applications. This study aims to understand the challenges of adopting blockchain technology in the financial sector, organise them into a model and classify them for systematic address.

Interpretive Structural Modeling (ISM) has been carried out along with MICMAC (Matrice d’impacts croisés multiplication appliquée á un classment) analysis to hierarchically structure blockchain adoption problems and categorise the challenges into four classes-autonomous, dependent, linkage and independent for better addressing. The study also uses content analysis using NVivo software.

The digraph depicts the hierarchical challenge model. Vulnerability to financial crimes and glitches, privacy issues and geopolitical tensions due to cross-border transactions are the dependent variables. Complex architecture to comprehend, code and fix, the need for new financial intermediaries, complexity in auditing and the lack of unified governance and coordination among institutions and regulators are the independent variables. The digraph, which is also justified by the qualitative content analysis, is beneficial for stakeholders to systematically address the interdependent challenges associated with blockchain implementations in finance to foster its favourable adoption.

The challenges in the adoption of blockchain should be resolved to allow the implementation of this technology in various finance domains. This study enables organisations to carry out resource planning and systematically address these challenges to leverage the advantages of blockchain.

The results of the present study can help in promoting the proliferation of blockchain for faster, cost-effective, transparent and secure financial transactions and foster innovative and new business models for economic growth.

The development of technology has brought about significant changes in the financial sector. Blockchain is a technological advancement that aims to bring security and transparency to transactions. There has been no research leveraging ISM-MICMAC to hierarchically organise and classify the blockchain challenges in the financial sector, a critical one. The research also uses content analysis which is seldom found along with ISM-MICMAC.

The goal of this article is to provide an overview of healthcare entrepreneurship, both in terms of its current trends and future directions.

The article engages in a systematic review of extant research on healthcare entrepreneurship using the scientific procedures and rationales for systematic literature reviews (SPAR-4-SLR) as the review protocol and bibliometrics or scientometrics analysis as the review method.

Healthcare entrepreneurship research has fared reasonably well in terms of publication productivity and impact, with diverse contributions coming from authors, institutions and countries, as well as a range of monetary and non-monetary support from funders and journals. The (eight) major themes of healthcare entrepreneurship research revolve around innovation and leadership, disruption and technology, entrepreneurship models, education and empowerment, systems and services, orientations and opportunities, choices and freedom and policy and impact.

The article establishes healthcare entrepreneurship as a promising field of academic research and professional practice that leverages the power of entrepreneurship to advance the state of healthcare.

The article offers a seminal state of the art of healthcare entrepreneurship research.