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This study aims to investigate the impact of market competitiveness on investment efficiency, and the moderating role of ownership and regulatory structures.

In this study, the Herfindahl–Hirschman Index (HHI), Lerner Index (LI) and industry-adjusted Lerner Index (LIIA) were used to measure market competitiveness. The research population consisted of companies listed on Tehran Stock Exchange (TSE). Using a systematic elimination, 199 companies were selected within eight years during 2014–2021.

The results showed that market competitiveness (based on the LI, LIIA and HHI) positively affected investment efficiency. Moreover, institutional ownership and managerial ownership affected the relationship between market competitiveness (based on all proxies of market competitiveness) and investment efficiency. Blockholders’ ownership also moderated the relationship between market competitiveness (based on LIIA and HHI) and investment efficiency. The hypothesis testing had robustness based on additional analyses.

In recent years, competitive environment and the ownership structure of companies have changed to a certain degree, paving the way for the private sector to enter many areas of activity especially in emerging Asian markets. Moreover, investment drivers and investment efficiency in developed markets may not be generalized to emerging Asian markets. Therefore, the present findings can show the significance of this research to fill the existing gap in the literature and provide insights into ownership and regulatory structures as a governance mechanism in market competitiveness and investment efficiency.

This paper aims to investigate whether managerial overconfidence has an impact on investment inefficiency beyond its influence on the use of internal financing or whether internal financing behaves as a full intermediary.

The study employed three dependent variables, namely business investment scale, overinvestment and underinvestment, and analyzed data from 282 firms across five different industries listed in 11 Middle East/North Africa (MENA) countries between 2013 and 2019 using regression analysis via least square dummy variable (LSDV).

The findings indicate that while internal financing can provide funding for investment opportunities and address capital shortages, it may also result in overinvestment, particularly in companies led by overconfident managers.

Stakeholders, including shareholders and board of directors, should pay attention to the chief executive officer (CEO)'s behavioral aspects such as overconfidence in decision-making while undertaking new investment projects. Additionally, regulators and policymakers in emerging markets like MENA should re-evaluate the corporate governance framework, devise a corporate governance index and promote boardroom gender diversity as it can significantly reduce risk.

This study adds to the limited research on the impact of managerial overconfidence on investment efficiency in the MENA region. By focusing on this region, which has unique economic, political and social characteristics, the study provides new insights into the role of behavioral biases in investment decision-making in emerging markets.

This study aims to examine the asymmetric effects of tax revenue policies on the economic activity of Oman.

This study applies the nonlinear autoregressive distributed lag model and uses data from 1980 to 2022.

The findings confirmed that economic activity has a cointegrating relation with the positive and negative shocks of the tax revenue policy and selected macroeconomic variables. In addition, the long-run results show that positive changes in tax revenues have a positive significant effect on the economy, while negative shocks in tax revenues have a negative effect on the economy at the 5% significance level. The study concludes that a significant long-term asymmetric relationship exists between taxation policy changes through the revenue channel for the economy of Oman.

No previous study has specifically investigated the asymmetric impact of tax revenue policies on the economy of Oman, which is an oil-dependent country. To the best of the authors’ knowledge, this study is the first attempt to explore this relationship with respect to the Omani economy, and it uses extensive time series data and employs various contemporary econometric techniques. Given Oman’s reliance on oil and gas revenues, which typically fund approximately 70% of the country’s annual budget through taxation on oil and gas sold, fluctuations in global oil prices directly influence country’s fiscal position. Thus, this study contributes to the literature by empirically confirming the asymmetries impact of fiscal (tax) policies on Oman’s economy. The implication of the results suggests that the government cut back on tax incentives and tax exemptions for local and foreign businesses. This move can foster economic growth and reduce the negative competition effect among investors and taxpayers, which may ultimately improve the country’s tax revenue.

This research investigates the barriers for Complementary and Alternative Medicine (CAM) adoption among the patients in India. Despite the established role of CAM in the Indian healthcare system for several years, the WHO (WHO) reports limited adoption of these therapies among Indian patients. This study investigates the key barriers toward wider CAM use within the Indian context.

This study used a combined interpretive structural modeling (ISM)-MICMAC approach to identify barriers to CAM usage. In the first phase, a comprehensive literature review was conducted to understand the barriers. Subsequently, experts in the Indian healthcare system were identified and interviewed to capture the contextual intricacies of these barriers within the Indian context.

The study identified ten key barriers to CAM adoption through ISM. A hierarchical model was developed to understand the relationships and interactions among these barriers, revealing their linkages. A MICMAC chart was created to determine the driving and dependent power of the barriers, categorizing them as dependent barriers, linkage barriers or independent barriers. The House of CAM framework was then derived from the ISM-MICMAC analysis, providing a structured, sequential approach for CAM adoption.

The awareness of the potential benefits and usage of CAM is significantly low among Indian patients. There is a pressing need to investigate and systematically conceptualize the barriers to CAM adoption. This research provides valuable insights for policymakers, insurers, practitioners of alternative and complementary medicine, multi-specialty hospitals offering CAM services and regulatory bodies. Understanding these barriers will enable these stakeholders to develop and implement strategies that effectively address these issues.

This research makes substantial contributions to the understanding of barriers to the adoption of CAM. Through a comprehensive investigation, the study introduces the House of CAM framework developed using ISM-MICMAC analysis, providing a strategic approach for targeted intervention against identified barriers.

The purpose of this study is to explore the influence of the regulatory environment on the efficiency of transparency within Islamic finance practices. It specifically examines how the determination of Shariah compliance, corporate governance and auditing standards is shaped by regulatory frameworks and their effects on the level of transparent financial reporting.

The research path was defined, and the research hypotheses were evaluated in the model using partial least squares structural equation modeling. The study collected data through structured surveys from 203 respondents.

The results of the PLS analysis demonstrate that Shari’ah compliance practices enhance transparency by making it difficult to breach ethical or social norms. These practices also infuse the presence of good corporate practices and quality audits that promote a culture of financial accountability, which is key for market and stakeholder confidence. The regulatory environment adds a critical moderating influence in these relationships by providing the oversight and enforcement capability required to ensure uniformity in the application of Shari’ah adherence and set transparency standards across borders.

The findings of this study have practical implications for those who implement policies, develop regulatory structures and study Islamic finance, underscoring the importance of achieving robust governance and regulatory frameworks. However, the study admits weaknesses, such as limited geographical coverage, reliance on preexisting data and the use of a cross-sectional analysis. Future research directions should include longitudinal and cross-comparative designs, the effects of modern technologies and the integration of qualitative methods alongside quantitative ones.

Consumers may enjoy the information sharing and social support made available when a social media platform is used for pre-purchase research; however, do consumers reevaluate the privacy and security of the platform differently when ordering and payment capabilities are added? As social media systems have evolved into social commerce platforms (SCPs), individuals are often faced with whether to complete a purchase they have been researching or switch to a traditional e-commerce platform to complete the transaction. This research examines consumer trust formation in the SCP channel and how consumer interest and engagement in the channel are maintained and influence consumer decisions to purchase via the SCP.

Based on trust and involvement literature, a research model was conceptualized to capture consumer beliefs about SCP privacy and security and whether the SCP can be trusted, using these inputs into subsequent consumer interest, engagement and decisions on whether to use the SCP for purchasing. The research model was empirically tested using the panel data's structural equation modeling (AMOS) (n = 405). The data showed acceptable reliability and convergent validity, while the original research model provides predictive validity and theory-confirming insights.

Results confirm that consumer perceptions of privacy and security play a crucial role as decision criteria, informing their judgments of whether a new social commerce channel can be trusted enough to conduct purchases. Further, consumer trust supports their interest in the SCP, resulting in enduring and enhanced behavioral use and, to a lesser extent, purchase intent. Still, a majority of this sample declined to purchase using the SCP and rather preferred to transact on tried and trusted traditional e-commerce sites.

This study is among the first to examine trust formation in new SCPs, where consumers are deciding to expand their engagement level from social and informational to commercial.

The purpose of this study is to review the literature on the adoption determinants of mobile health (M-health) applications for health behavior change following a systematic methodology.

This review systematically identified 134 peer-reviewed studies out of 10,687 from Scopus, Web of Science, PubMed and the Association for Computing Machinery (ACM) published between 2010 and 2021. This review used a thematic analysis to produce the main themes conceptualizing a holistic framework of the investigated M-health application adoption factors.

Despite the exploration of multifaceted adoption determinants and behaviors, the current publications exhibit limitations. The studies not only show a lack of representation of multiple health behaviors and medical conditions but also fail to involve data from low- and middle-developing countries, where M-health application utilization is crucial. Findings revealed that there is a considerable absence of a solid theoretical foundation that unveils a gap in interpreting the adoption factors effectively. Understanding cultural and demographic variances and exploring financial factors and healthcare provider involvement is essential for tailoring M-health application interventions. Continuous assessment of technological factors and evaluation of the actual impact of M-health application usage on behavioral changes and health outcomes will further enhance the effectiveness and adoption of these technologies.

This review is one of the first comprehensive reviews of determinants of M-health application adoption targeting health behavior change for the general public and patients.