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The purpose of this paper is to explore the degree of inflation persistence across all US metro areas over the post-pandemic period.

Both the Multivariate Core Trend (MCT) model and a fractional integration model, that is the Multivariate Unobserved-Components Stochastic Volatility Outlier-adjusted (MUCSVO) model are estimated.

The findings provide clear evidence of a significant inflation persistence in ten metro areas and the absence of persistence in the remaining areas, implying that in the former areas, inflation clearly indicates a strong persistent pattern. In other words, in these ten areas, the persistent component dominates the evolution of the trend and stands as a significant driver of inflation.

The findings have important implications for US policymakers to consider implementing more targeted policies to address inflation in specific metro areas to reduce the overall inflation rate, or they may need to consider tailoring fiscal policies to address inflationary pressures in specific metro areas. The findings illustrate the need for targeted policy interventions to address inflationary pressures in specific areas, as well as the importance of understanding the drivers of inflation persistence to develop effective policy responses. The findings also provide insights to firms on how to mitigate the risks of inflation. They may need to diversify their products or supplier base so that they do not rely on areas experiencing persistent inflation.

This paper contributes to the literature by extending the discussion of the impact of the recent pandemic crisis on US regional inflation. The findings have important implications for US policymakers to consider implementing more targeted policies to address inflation in specific metro areas to reduce the overall inflation rate, or they may need to consider tailoring fiscal policies to address inflationary pressures in specific metro areas. The findings illustrate the need for targeted policy interventions to address inflationary pressures in specific areas, as well as the importance of understanding the drivers of inflation persistence to develop effective policy responses. The findings also provide insights to firms on how to mitigate the risks of inflation. They may need to diversify their products or supplier base so that they do not rely on areas experiencing persistent inflation.

The purpose of this study is to contribute to the research of knowledge management in higher education institutions (HEIs) by studying the enablers of knowledge entrepreneurship. Anchored in the dynamic capability theory, knowledge entrepreneurship is heterogeneously distributed in HEIs and is critical for the sustenance of organizations in the knowledge economy. This aim is realized by understanding the determinants of knowledge entrepreneurship and empirically investigating the relationship of knowledge-sharing behaviour and entrepreneurial leadership with knowledge entrepreneurship.

Data was collected through structured questionnaires from 550 faculty members of HEIs in Pakistan by adequately representing the sample size through regional stratification and proportionate sampling. Data was analyzed through the Analysis of Moment Structures software where the data validation and reliability were achieved using correlations, confirmatory factor analysis and structured equation modelling to generate generalizable results.

The findings revealed that knowledge sharing is an important component in developing knowledge entrepreneurship. Entrepreneurial leadership is pivotal in providing the support, vision and autonomy to individuals with personal and professional capabilities to ensure the creation of new knowledge, collaboration and innovation.

The study contributes to an understanding of relationship of knowledge sharing and entrepreneurial leadership that leads to promotion of knowledge entrepreneurship in HEIs of Pakistan. In addition, the findings of the study extend the existing literature on knowledge entrepreneurship by offering the positive mediating role of entrepreneurial leadership in the universities of Pakistan, hence, addressing the specific challenges and opportunities faced by the HEIs of a developing country like Pakistan. The theoretical framework of the study elucidates the importance of knowledge sharing and entrepreneurial leadership by using the dynamic capabilities theory and extends the scope of the aforementioned theory in entrepreneurial leadership realm.

By generating an understanding of the dynamics of knowledge entrepreneurship this study tries to help policymakers and educational leaders to develop strategies to cultivate a culture of knowledge sharing and entrepreneurial leadership in Pakistani HEIs. Building the entrepreneurial ecosystem entails prioritizing knowledge creation, knowledge sharing and retention that can lead to innovative solutions for local and global challenges.

The study used dynamic capabilities theory to link the knowledge and resources together for the education sector for sustainable outcomes in the knowledge economy. To the best of the authors’ knowledge, this is the first study to empirically study the behaviour of HEIs to create and support knowledge entrepreneurship in the presence of entrepreneurial leadership in the context of a developing country, Pakistan. Becoming a knowledge-based society will help Pakistan upgrade itself to the list of developed countries.

This study delves into the significant impact of entrepreneurial leadership (EL), organizational innovation (OI) and competitive advantage (CA) on the sustainability of organizations in the Jordanian Islamic insurance sector. This study aims to unravel the intricate dynamics among these pivotal factors, highlighting their collective role in the sustained success and resilience of Islamic insurance companies in Jordan. By examining the synergistic interplay between EL, OI and CA, the research seeks to offer invaluable insights into cultivating a sustainable future for these institutions.

This study adopts a positivist, quantitative approach to investigate the relationships between EL, OI, CA and organizational sustainability (OS). Data collection was achieved through questionnaires in a cross-sectional analysis of these variables. Convenience sampling yielded 389 valid responses, an 81% response rate, ensuring a thorough understanding of the dynamics within this framework.

The findings from the study on Jordanian Islamic insurance companies highlight the critical role of EL in influencing organizational dynamics. The research establishes a positive relationship between EL and both OI and OS. Furthermore, it identifies a significant positive correlation between EL and CA, underscoring the importance of leadership in securing a competitive edge. This study also emphasizes the vital role of OI in bolstering OS and confirms that a strong CA enhances OS, reinforcing the interconnectivity of these essential organizational components.

This study provides important insights for professionals in the insurance sector, especially those within the Jordanian Islamic insurance industry. It emphasizes the crucial role of EL in fostering innovation, competitiveness and sustainability. By understanding the significance of EL, companies can adopt more dynamic and effective strategies in leadership, organizational development and strategic planning, thereby enhancing their overall performance and resilience.

By conceptualizing EL and OS as second-order constructs, this study seeks to provide a detailed understanding of how EL catalyzes OI, CA and sustainability in an organizational context. This approach contributes significantly to the broader discussion on EL and OS, particularly within the Arab region and specifically in Jordan, offering nuanced insights into their roles and interrelations in shaping organizational dynamics.

This article provides a historical-comparative conceptual analysis of entrepreneurial leadership and transformational leadership, aiming to critically appraise how the latter has informed the former.

A narrative review methodology and three-stage framework is used to develop the analysis and structure the discussion. The framework consists of the following three stages – concept introduction and elaboration, concept evaluation and augmentation and concept consolidation and accommodation.

The key ‘narrative’ emerging from the review concerns how entrepreneurial leadership as a concept has evolved into a re-iteration of the transformational leadership approach, absorbing the conceptual merits, and more significantly, conceptual flaws of the latter. Notable critiques of transformational leadership theory, namely, a lack of conceptual clarity, over-reliance on quantitative methodologies and the ‘heroic bias,’ can similarly be raised against existing research on entrepreneurial leadership. To redress these issues, the conceptual, methodological and practical implications of the historical-comparative analysis are outlined, which includes avenues for further research – with and without key elements of transformational leadership theory.

The article is the first to discuss the historical evolution of entrepreneurial leadership as a concept in relation to transformational leadership theory, which has been influential in research on the former. In particular, the critical analysis illustrates how the conceptual evolution of entrepreneurial leadership has failed to acknowledge the significant limitations associated with transformational leadership theory, despite considerable application of it.

The purpose of this study is to examine the role of dynamic capabilities for improvement of competitiveness of the organizations through enhancement of internationalization performance. The study would also try to assess if there is any moderating impact of leadership abilities of the entrepreneurs to impact internationalization performance of the organizations.

This study has reviewed various kinds of literature related to competitiveness, international marketing, dynamic capabilities, entrepreneurship and leadership support. This study also used a dynamic capability view to develop a research model. This model was validated using the partial least squares structural equation modeling technique to analyze data from 303 respondents from European and Asian organizations.

The study found that dynamic capabilities have considerable influence on the competitive international performance of organizations, and entrepreneurs’ leadership ability has a significantly moderator impact on the relationship between dynamic capabilities and international performance of organizations.

The study uncovers the impacts of dynamic abilities on the competitiveness and internationalization performance of the organizations. This study also provided valuable insights about the importance of entrepreneurial leadership ability for improving the internationalization performance of the organizations. This study also highlighted the significance of investing on improving dynamic abilities of the organizations to improve their internationalization performance as well as their competitiveness.

This study has contributed to the prevailing literature on entrepreneurship, leadership capability, competitiveness and dynamic capabilities. Few studies have focused on how dynamic capabilities affect the competitiveness and international performance of organizations. Also, studies are scant to understand if the entrepreneur’s leadership ability has any moderating impact on the relationship between an organization’s dynamic capabilities and its international performance. Therefore, this study aims to investigate these gaps.

Given the unique nature of business events tourism, this paper evaluates the forecasting performance of various models using search query data (SQD) to forecast convention attendance.

This research uses monthly and quarterly business event attendance data from both the U.S. (Las Vegas) and China (Macau) markets. Using SQD as the input, we evaluated and compared the cutting-edge forecasting models including Prophet and Long Short-Term Memory (LSTM).

The study reveals that Prophet outperforms complex neural network models in forecasting business event tourism demand. Keywords related to convention facilities, conventions or exhibitions, and transportation are proven to be useful in forecasting business travel demand.

Prophet is an accessible forecasting model for event-tourism practitioners, especially useful in the volatile business event tourism sector. Using verified search keywords in models helps understand traveler motivations and aids event planning.

Our study is among the first to empirically evaluate the performance of forecasting models for business travel demand. In comparison with other mainstream forecasting models, our study extends the scope to examine both the U.S. and Chinese markets.

By exploiting the exogeneity of the unexpected 2015 European refugee crisis, the paper’s purpose is to analyze the causal impact of the crisis on resident immigrants’ life satisfaction. Due to the ongoing anti-immigrant sentiments, we argue that the refugee crisis and the build-up to it affect how resident immigrants are looked upon in a negative light; this in turn could consequently be reflected in their life satisfaction. We anchor the natives’ hostility toward the refugees and immigrants on the group-threat theory.

Using two waves of the European Values Study, we exploit the exogenous source of variations generated by the crisis and employ a difference-in-differences estimation framework to identify the causal impact.

Our findings indicate negative impact of the refugee crisis on resident immigrants’ life satisfaction. We find negative impact of the refugee crisis on the life satisfactions of resident immigrants with low education levels. Our results also suggest that resident immigrants in Western European countries experience lower life satisfaction after the crisis.

The literature so far mostly revolves around the impact of the crisis on natives’ objective well-being. We find it surprising that the literature has not fully utilized the rare opportunity afforded by the refugee crisis to analyze its impact on resident immigrants’ subjective well-being.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-01-2024-0093

In this study, the research question posed was: What are the defining characteristics, limitations, and potential opportunities in the research on heterogeneity within ASD?

This scoping review used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses methodology to address the research question: “What are the defining characteristics, limitations, and potential opportunities in the research on heterogeneity within ASD?” A comprehensive literature search was conducted across databases including MEDLINE/PubMed, SciVerse Scopus and Springer Link, with keywords such as autism, autism spectrum disorder (ASD), heterogeneity and neurodevelopment. Inclusion criteria covered original research, reviews and protocols published since 1990, while irrelevant or out-of-date works were excluded. Thematic analysis was applied to collected data to identify common patterns, trends and key characteristics, leading to a narrative synthesis. Ethical review board approval was not required due to the nature of the review.

The scoping review underscored the multifaceted nature of ASD, emphasizing its clinical, methodological and investigational complexities. ASD’s diverse behavioral, social and biological characteristics challenged its classification as a uniform entity. To address this, the review examined strategies like stricter clinical criteria, categorization into functional subgroups, and larger, diverse sample sizes. Moreover, it highlighted the transformative role of Big Data and machine learning in advancing the comprehension of ASD’s manifold manifestations. This research contributed valuable insights and innovative approaches for addressing the intrinsic heterogeneity of ASD, reshaping the understanding of this complex condition.

One limitation of this scoping review is that it primarily relied on existing literature and did not involve primary data collection. While the review synthesized and analyzed a substantial body of research, the absence of original data collection may limit the depth of insights into specific aspects of ASD heterogeneity. Future research could benefit from incorporating primary data collection methods, such as surveys or interviews with individuals with ASD and their families, to gain more nuanced perspectives on the condition’s heterogeneity.

The reliance on existing literature in this scoping review highlights the need for further empirical studies exploring ASD’s heterogeneity. Researchers should consider conducting primary data collection to capture real-world experiences and variations within the ASD population. This approach could provide more comprehensive and context-specific insights, ultimately informing the development of tailored interventions and support strategies for individuals with ASD and their families.

This paper offers a fresh perspective on understanding ASD by examining its clinical, methodological and investigational implications in light of its inherent heterogeneity. Rather than viewing ASD as a uniform condition, this study explores strategies such as stricter clinical criteria, subcategorization based on functionality and diverse sample sizes to address its complexity. In addition, this study highlights the innovative use of Big Data and machine learning to gain deeper insights into ASD’s diverse manifestations. This approach contributes new insights and promising directions for future research, challenging the conventional understanding of ASD as a singular entity.

One of the issues currently being discussed around the globe, and especially in the tourism industry, is revisit intention. This study uses a bibliometric analysis strategy based on the Web of Science (WOS) database to examine the literature on revisit intention.

In this study, a sample of 482 articles was analyzed. The R programming language was used to process the data and graph the results.

The results found the occurrence of publications by year, publication source information and authors, journals, countries, institutions, thematic maps, current trends of topics in hospitality and tourism toward revisiting intention, and the most cited papers in revisit intention. This study highlights the importance of revisiting intention in the hospitality and tourism industry. The bibliometric analysis helps to set the research agenda on revisit intention.

To the best of the authors’ knowledge, this is the first study of its kind to present an empirical evaluation of revisit intention using inclusive mapping.

Using longitudinal data of children in Nepal, this study examines the relationships between dropouts, grade repetition and the causes of dropout, such as entrance age, to derive concrete recommendations to improve the basic education completion rates in Nepal, one of the targets of Sustainable Development Goal 4 (SDG4).

The data for this study were drawn from school records kept in the target schools, home visit surveys and interviews with principals and teachers. After comparing the repetition experience and the frequency of repetitions between graduates and dropouts, the study analysed the dropout patterns of individual children. The study then examined the effects of repetition and entrance age on children’s schooling.

The results identified a large group of children who dropped out of school without any repetition, with only 15.9% of the children repeating a grade immediately before dropping out. The findings indicated that harsh family environments, being overage and low educational expectations were factors in sudden dropout.

Collecting longitudinal data is difficult in developing countries, and few studies use such data. The question of access to education has been re-ignited by the COVID-19 pandemic; this study used longitudinal data to thoroughly analyse children’s dropout patterns and provide specific recommendations that will contribute to the achievement of SDG4.