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This study aims to examine the impact of cultural values [power distance (PD), uncertainty avoidance (UC), individualism vs collectivism (IC) and time orientation] and users’ perceptions on the adoption of big data analytics (BDA) within the context of the United Arab Emirates (UAE) health-care sector. It uses the unified theory of acceptance and use of technology (UTAUT) model as its theoretical foundation.

A cross-sectional survey involving 256 health-care organization users in major hospitals across the UAE was conducted. Smart partial least squares (PLS) structural equation modeling was used to assess users’ behavioral intentions (BI) to use BDA in the health-care context.

Results indicate that performance expectancy, social influence, facilitating conditions and perceived trust significantly predicted respondents’ BI to use BDA. However, effort expectancy, perceived security and time orientation were found to have insignificant impacts on BI. Interestingly, the remaining cultural values (PD, UC and IC) did not significantly affect the relationship between social influence and BI in the context of BDA adoption in health care.

This study contributes to the literature by examining the role of cultural dimensions in BDA adoption within health-care organizations, particularly in the underrepresented UAE health-care context. Moreover, it extends the application of the UTAUT model to the BDA adoption in health care, providing insights into the factors affecting users’ BIs to use the technology.

This study aims to explore customers’ green hotel revisit behaviors, proposing the theory of repeat purchase behavior.

An empirical study is conducted through a questionnaire survey method, using personal interview survey approach in Bangladesh. In all, 401 usable data is collected from participants who have visited green hotels before. The following data are analyzed through partial least squares structural equation modeling (PLS-SEM) using Smart PLS 3.3.3.

Results of the study have raveled that habitual attachment and emotional attachment are significantly related to green hotel revisit intentions (behavioral intention) and revisiting a green hotel (actual behavior). The result also has uncovered that green hotel revisit intentions significantly impacted revisiting a green hotel. Moreover, the study results exert that green hotel revisit intentions partially mediate the relationship between habitual attachments, emotional attachment, and revisiting a green hotel.

The current study enriches green hospitality literature by uncovering the integrated effects of habitual attachment and emotional attachment on customers’ revisit intentions and behaviors in the green hotels’ context.

The aim of this study is to conduct a comparative analysis between Islamic and conventional banks in terms of whether Islamic banks was more or less resilient/risky than conventional counterparts to the pandemic shock. It also examines the role of capital in improving the performance and stability within the two banking systems.

This study uses 82 banks from MENA (Middle East and North Africa) region for periods across 2011–2020, and employs a dynamic panel data approach to examine the resilience within both banking systems during the Covid-19 pandemic.

The results show that the Covid-19 pandemic has a negative impact on conventional banks' stability. However, Islamic banks performed better and were less risky than conventional ones. Banks with high-quality capital are more effective at controlling their risks and improving their performance during the pandemic.

The results offer important financial observations and policy implications to many stakeholders engaging with banks. Actually, the findings of this study facilitate to the stakeholders and bankers to have an alluded picture about determinants of risk and performance. The results can be used by bankers’ policy decision-makers to improve and enhance their consideration for risk management, taking into consideration the type of banking systems.

Compared to the various studies on the stability of Islamic and conventional banks, researchers have not sufficiently addressed the effect of the Covid-19 pandemic on risk and performance. Moreover, none of these studies has examined if Islamic banks was more or less resilient/risky than conventional counterparts to the pandemic shock. This leads the authors to identify the similarities and differences between two types of banks in the MENA region in a pandemic shock context.

The current chapter proposes a theoretical framework to assess the sustainability of economic growth in the Gulf Cooperation Council (GCC) States. The authors integrate insights from endogenous growth models and consider the unique socioeconomic characteristics of the GCC region to provide a comprehensive and tailored approach to understanding the determinants of economic growth and formulating effective policy measures to foster sustainable development and growth. This chapter highlights the environmental challenges faced by GCC; based on this, the authors suggested indicators to construct a theoretical framework (Economic Growth, Climatic Indicators, Energy Indicators, Social Indicators, and Economic Resources Indicators). The authors propose that policymakers and researchers in GCC States should take these factors into account when devising policies or conducting research aimed at fostering sustainable economic growth. Overall, this chapter presents significant insights for policymakers, researchers, and stakeholders involved in promoting the sustainable economic advancement of the GCC States.