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The purpose of this study is to explain how the quality of teacher-student relationships and the gap of cognitive styles between teachers and students impact student achievement. The population for the study was comprised of 11 career and technical education (CTE) teachers and 210 CTE students, representing six disciplines within CTE. The study occurred in a suburban high school in western North Carolina. Leader-member Exchange (LMX) theory and Adaption- innovation theory guided the research. Dyadic intensity between teachers and students predicts the quality of teacher-student relationships from both the teacher’s perspective and the student’s perspective. The quality of teacher-student relationships from the teacher’s perspective predicts the quality of teacher-student relationships student’s perspective. Further research is recommended to understand how leader-member exchange manifests in classroom settings and impacts student achievement.

Research suggests effective immersive simulations that rely on augmented reality enhance teachers’ self-efficacy and skills (Badiee & Kauffman, 2015). However, there is a gap in the literature as studies have largely ignored their uses in educational leadership programs (Bradley & Kendall, 2015). This study investigated the relationship between application of critical skills within an immersive simulation environment and 26 school or district leaders’ perceptions of self-efficacy in leading a professional learning community (PLC). Two overarching themes materialized from participants: improved general confidence in leading a PLC, and a sense of refined or expanded skills in the context of new approaches to leading PLC. Further studies are needed on the use of immersive simulation as a pedagogical tool and to examine impact for educational leadership practitioners.

Research suggests effective immersive simulations that rely on augmented reality enhance teachers’ self-efficacy and skills (Badiee & Kauffman, 2015). However, there is a gap in the literature as studies have largely ignored their uses in educational leadership programs (Bradley & Kendall, 2015). This study investigated the relationship between application of critical skills within an immersive simulation environment and 26 school or district leaders’ perceptions of self-efficacy in leading a professional learning community (PLC). Two overarching themes materialized from participants: improved general confidence in leading a PLC, and a sense of refined or expanded skills in the context of new approaches to leading PLC. Further studies are needed on the use of immersive simulation as a pedagogical tool and to examine impact for educational leadership practitioners.

Using an institution-based view, this study aims to conceptualize how sub-national institutional characteristics are likely to explain location choice of multinationals’ research and development (R&D) subsidiaries.

In a conceptual paper, this study explores specific institutional facets of the regional environments within a country that are capable of explaining, at least in part, the location choices of multinational corporations’ R&D subsidiaries.

This study thus explores the more nuanced influences of the institutional environments at a subnational level and develops propositions to explain location choices based on the differences of the institutional environments.

This study contributes to international business theory by incorporating a location-specific analysis that contrasts to the usual country-level observation on the determinants of firms’ location decisions.

All entrepreneurs face challenges during their venture start-up process, but immigrant entrepreneurs face additional and distinctive challenges due to their contextual newness. This paper focuses on understanding the intertwined journeys of nascent entrepreneurship and cross-cultural adaptation of immigrants in a small Western European country where immigrant entrepreneurship is still a relatively new phenomenon.

The induction-driven, 18-month longitudinal empirical inquiry focused on six early-stage nascent entrepreneurs. Qualitative methods included participant observation during an enterprise program, qualitative interviews and ongoing informal communication.

The data uncovered the interplay between the nascent immigrant entrepreneurship and cross-cultural adaptation. This led to the development of a novel conceptual framework which highlights how the cross-cultural adaptation domain links with the process of recognition, evaluation and exploitation of entrepreneurial opportunities by immigrant entrepreneurs. While varying temporarily and contextually, cross-cultural adaptation was found to create both enabling and constraining tensions within the nascent entrepreneurial experiences of immigrants.

It is recognized that undertaking just six cases may present a significant limitation of the research, but a close examination of even one individual's lived experience can yield valuable insights. It is hoped that future work will test the highlighted research propositions and other findings in different empirical contexts, and so add to the emerging conceptual framework on nascent immigrant entrepreneurship within the context of cross-cultural adaptation.

No previous qualitative studies have been undertaken seeking to understand how cross-cultural adaptation interacts with the early stages of nascent immigrant entrepreneurial activity. By integrating new venture creation and cross-cultural adaptation theories, this research contributes to the conceptualisation of early stages of nascent entrepreneurial activities of immigrants in a new host environment. The implications of the research are also relevant to enterprise support bodies, policymakers and practitioners who support immigrant entrepreneurship.

National Park Service (NPS) units generate a significant economic impact for states and local gateway communities across the USA. Utah is home to 13 NPS units with visitation accounting for 18% of the state's US$9.75bn tourism economy in 2018. Twelve NPS units, including five national parks, are located in Southern Utah, driving an economy that is heavily dependent on tourism. This paper examines the challenges and opportunities for visits to national parks post-COVID-19, generally and in the specific context of Southern Utah. Although the assumption is that visits to national parks will recover quickly, this paper will critically examine how visitation may change and what adaptive measures and alternative forms of unit management may be necessary.

By adopting a holistic-inductive paradigm, this paper utilizes a descriptive case study approach. Data were collected across a variety of mediums focusing on interviews with key stakeholders in and around Southern Utah.

The results from this study highlight the various challenges faced in parks and gateway communities vis-à-vis changing patterns of visitation, adaptive measures and alternative forms of unit management necessary due to COVID-19 and their impact on the future management and marketing of national parks for touristic purposes.

This paper examines the impacts of COVID-19 on an often-neglected yet significant area within tourism, yielding implications for industry, visitors and destination communities.

The purpose of this paper is to use Twitter data to mine personality traits of basketball players to predict their performance in the National Basketball Association (NBA).

Automated personality mining and robotic process automation were used to gather data (player statistics and big five personality traits) of n = 185 professional basketball players. Correlation analysis and multiple linear regressions were computed to predict the performance of their NBA careers based on previous college performance and personality traits.

Automated personality mining of Tweets can be used to gather additional information about basketball players. Extraversion, agreeableness and conscientiousness correlate with basketball performance and can be used, in combination with previous game statistics, to predict future performance.

The study presents a novel approach to use automated personality mining of Twitter data as a predictor for future basketball performance. The contribution advances the understanding of the importance of personality for sports performance and the use of cognitive systems (automated personality mining) and the social media data for predictions. Scouts can use our findings to enhance their recruiting criteria in a multi-million dollar business, such as the NBA.