ObjectiveTo compare estimates of effect and variability resulting from standard linear regression analysis and hierarchical multilevel analysis with cross-classified multilevel analysis under various scenarios.Study design and settingWe performed a simulation study based on a data structure from an observational study in clinical mental health care. We used a Markov chain Monte Carlo approach to simulate 18 scenarios, varying sample sizes, cluster sizes, effect sizes and between group variances. For each scenario, we performed standard linear regression, multilevel regression with random intercept on patient level, multilevel regression with random intercept on nursing team level and cross-classified multilevel analysis.ResultsApplying cross-classified multilevel analyses had negligible influence on the effect estimates. However, ignoring cross-classification led to underestimation of the standard errors of the covariates at the two cross-classified levels and to invalidly narrow confidence intervals. This may lead to incorrect statistical inference. Varying sample size, cluster size, effect size and variance had no meaningful influence on these findings.ConclusionIn case of cross-classified data structures, the use of a cross-classified multilevel model helps estimating valid precision of effects, and thereby, support correct inferences.
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In cross-cultural communication and adjunct disciplines such as cross-cultural management and international business, there is a negativity bias of seeing cultural differences as a source of potential issues. The emergence of Positive Organizational Scholarship (POS) questions this problem-focused approach. This paper contributes to the ongoing discussion from neuroscience’s perspectives in several ways. Firstly, it provides a neurological look at this bias. Secondly, it proposes that the problem-focused approach may (1) give us a biased outlook of cross-cultural encounters rather than a reality, (2) hinder creativity, (3) lead to the rebound effect, and (4) turn belief into reality. Finally, based on insight from neuroscience and adopting the POS lens with the connection between POS and creativity, it’s recommended that future research takes three directions: (1) Using similarity as the starting point; (2) strategize body language, context and theories; and (3) develop a multicultural mind. In essence, the paper contributes to existing knowledge of the field by employing an interdisciplinary approach, aiming to gain a more holistic view, provoke thoughts, and trigger future empirical studies.
Cross-Cultural Management: With Insights from Brain Science explores a broad range of topics on the impact of culture in international business and vice versa, and the impact of businesses and individuals in shaping a culture. It provides critical and in-depth information on globalization, global/glocal leadership, cross-cultural marketing, and cross-cultural negotiation. It also discusses many other topics that are not typically found in the mainstream management textbooks such as diversity management, bias management, cross-cultural motivation strategies, and change management.While most literature in the field is dominated by the static paradigm, that is, culture is fixed, nation equates to culture, and values are binary, this book takes a different approach. It regards national values as a first-best-guess and balances it with an introduction of the dynamic paradigm. This school of thought posits that culture is not static, context is the software of the mind, opposing values coexist, change is constant, and individuals can develop a multicultural mind.A unique feature of this book is the contribution of an interdisciplinary approach. It’s the first textbook of cross-cultural management that incorporates latest findings from the emerging discipline of cultural neuroscience and evolutionary biology in the discussion. Such a holistic approach is meant to help readers gain a deeper and broader understanding of the subjects.
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The project ‘Towards resilient leisure, tourism and hospitality (LTH) ecosystems in Europe’ addresses the critical problem of unsustainable practices in the tourism and travel industry. The LTH industry is ‘back on track’ after recovering from the global Covid-19 crisis. Destinations show increased numbers of international arrivals and rapid growth of tourism-related revenues. It is foreseen that cities like Amsterdam, but also vulnerable natural areas, will receive record numbers of visitors in the coming decade. The dominant economic model operating within the industry nonetheless prioritizes short-term gains, resulting in extreme exploitation of resources, labour, and local communities, evidenced by negative impacts in European destinations like Venice and the Canary Islands. The project aims to shift the industry’s focus to long-term sustainability, addressing systemic constraints and facilitating a transition that aligns with European priorities for a sustainable and just future. It builds vital connections between regional, national, and European research priorities by addressing and advocating for climate and social justice. Regionally, it investigates best practices across diverse tourism environments in Finland, Spain, Sweden, the UK, Scotland, and The Netherlands. Nationally, it challenges the status quo by proposing alternative governance frameworks that individual countries could adopt to encourage sustainable tourism practices. On a European scale, the project aligns with EU goals of climate action and sustainable development, supporting objectives of the European Green Deal and the United Nations Sustainable Development Goals (SDGs). It aims to build solid theoretical foundations necessary for a transition towards more resilient and environmentally and socially inclusive LTH ecosystems. Through integrating insights from multiple regions, the project transcends local boundaries and offers scalable solutions that can influence policy and industry standards at both national and European levels. The project's transdisciplinary nature ensures that proposed solutions are grounded in diverse eco-socioeconomic contexts, making them robust and adaptable.
