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This study aims to examine why tax reforms fail and explores how tax collection can be improved within a developing country context.

Data comprise 28 semi-structured interviews with taxpayers, tax experts and tax authority personnel based in Pakistan. The results are analysed using a combined lens of taxpayer trust and tax agencies’ capabilities.

Tax reforms failed to build taxpayers’ trust and tax agencies’ capabilities. Building trust is challenging and demands extensive ongoing engagement with taxpayers while yielding gradual permanent results. This requires enhancing confidence in government; educating taxpayers; removing complexities; introducing transparency and accountability in tax agencies’ operations and the tax system; promoting procedural and distributive justice; and reversing perceptions of corruption through reconciliation and stakeholder inclusivity. Developing tax agencies’ capabilities requires upgrading outdated technologies, systems and processes; implementing governance and organisational reforms; introducing an oversight board; and recruiting and training skilled professionals.

The findings can assist policymakers and tax collection authorities in understanding why tax reforms fail and identifying potential solutions.

This study contributes to the emerging literature by exploring tax administration failures in developing countries. It contributes to the literature by engaging stakeholders to understand why reforms fail and potential solutions to stimulate tax revenues.

Factors of production (labour, land, capital), technology and technical progress are usually cited as the main sources of economic growth and development. However, there are a number of other factors that have a significant impact on the possibilities and extent of their use or their further improvement and development. These factors undoubtedly include the institutional environment, within which corruption is also a consideration. In this chapter, attention will be focused on the various institutional variables that are used to assess the quality of a country's institutional environment, including corruption. A number of studies have shown that a quality institutional environment and low levels of corruption are prerequisites for long-term economic growth. Using an analysis of individual indicators of the Worldwide Governance Indicators (WGIs), published annually by the World Bank, supplemented by the Corruption Perception Index (published by Transparency International), we look at where Czechia has moved over the last decade or two in terms of institutional quality and corruption.

The purpose of this study is to investigate the link between corporate social responsibility (CSR) and the amount of trust customers have in Somali Islamic banks. Furthermore, the role of gender in CSR activities and Islamic bank clientele is evaluated.

Throughout February and March 2022, 410 clients of Islamic banks in Somalia were surveyed using a questionnaire. The partial least squares approach and the structural equation model are applied to examine the data.

Findings indicate that all variables of CSR activities, such as social product, social legal, social needs, social environment and social employees’ responsibility, are influential and significant predictors of trust in Islamic banks in Somalia. Gender inequalities moderate the relationship between social product, social needs, social environment, social employee and trust. Conversely, only social legal responsibility was unaffected by gender differences in Somalia regarding people’s trust in Islamic banks.

A sample from a developing country such as Somalia is useful for shedding light on the outcomes of consumers’ perceptions of and trust in businesses’ CSR in the developing world. Furthermore, this study contributes to knowledge regarding CSR and how it can help the Islamic banking industry. Its findings will be useful to policymakers and regulatory bodies in the banking industry in their efforts to improve CSR.

To the best of the authors’ knowledge, this study is the first empirical investigation of its kind about the understudied relationship among customer trust, CSR efforts and gender in Somalia context. Furthermore, it investigates how gender specifically moderates CSR in the Islamic banking sector in a developing country.

While a substantial amount of research has been conducted in western societies exploring public attitudes toward police (ATP) among immigrants in recent decades, the question of how recently arrived immigrants view the police in Asian societies has been largely overlooked. This study aims to explore Southeast Asian immigrants' ATP in Taiwan and how assimilation, discrimination, affirmation, procedural justice, bifocal lenses and contact experiences – viewed simultaneously – impact their perceptions.

Using a combination of convenience and snowball sampling methods, a total of 579 completed survey responses were collected in Taiwan with a response rate of 89%. Structural Equation Modeling (SEM) was used to examine key factors that impact immigrants' attitudes toward the Taiwanese police.

The findings suggest that procedural justice and assimilation are two robust and direct predictors of immigrants' attitudes toward Taiwanese police. Immigrants from Southeast Asian countries who perceive that they have been treated fairly by Taiwan police tended to report more positive ATP. Likewise, higher levels of assimilation boosted confidence in the police. In addition, both nationality and marital status had a significant impact on perceptions of the police.

This pioneering study examines immigrants' ATP among four groups of Southeast Asians in Taiwan —namely, immigrants from Indonesia, Vietnam, Thailand and the Philippines. The use of SEM strengthens the robustness of the findings derived from this study.

The rapid expansion of internet usage and device connectivity has underscored the importance of understanding the public’s cyber behavior and knowledge. Despite this, there is little research that examines the public’s objective knowledge of secure information security practices. The purpose of this study is to examine how objective cyber awareness is distributed throughout society.

This study draws on a large national survey of adults to examine the relationship between individual factors – such as demographic attributes and socioeconomic resources – and information security awareness. The study estimates several statistical models using weighted logistic regression to model objective information security awareness.

The results indicate that socioeconomic resources such as income and education have a significant effect on individuals’ information security awareness with richer and more highly educated individuals exhibiting greater awareness of important security practices and tools. Additionally, age and gender represent consistent and clear informational gaps in society as older individuals and females are significantly less knowledgeable about an array of information security practices than younger individuals and males, respectively.

The findings have important implications for our understanding of information security behavior and user vulnerability in an increasingly digital and connected society. Despite the growing importance of cybersecurity for all individuals in nearly all domains of daily life, there is substantial inequality in awareness about secure cyber practices and the tools and techniques used to protect one’s self from attacks. While digital technology will continue to permeate many aspects of daily life – from financial transactions to health services to social interactions – the findings here indicate that some users may be far more exposed and vulnerable to attack than others.

This study contributes to our understanding of general user information security awareness using a large survey and statistical models to generalize about the public’s information security awareness across multiple domains and stimulates future research on public knowledge of information security. The findings indicate that some users may be far more exposed and vulnerable to attack than others. Despite the growing importance of cybersecurity for all individuals in nearly all domains of daily life, there is substantial inequality in awareness about secure cyber practices and the tools and techniques used to protect one’s self from attacks.

The study investigated the strategic contribution of COVID-19 preventive measures in building corporate reputation in the hospitality industry when mediated with ethical branding.

The hypothesized model was developed and tested using a cross-sectional research design among 404 customers of hospitality organizations (i.e. hotels and restaurants). The collected data were analyzed quantitatively using structural equation modeling.

The results showed that COVID-19 preventive measures are important drivers in building or rebuilding corporate reputation during and after the COVID-19 pandemic. The study also showed that ethical branding acts as a mediator between COVID-19 preventive measures and corporate reputation.

The study used a nonprobability sampling technique, i.e. convenience sampling and a cross-sectional survey research design. It is therefore necessary to be careful when generalizing the findings.

The study recommends that managers in hospitality organizations should ensure proper and effective compliance with COVID-19 preventive measures during service delivery. Among others, the study highlighted areas for further study to include an investigation using a longitudinal approach to observe behavioral changes toward COVID-19 preventive measures and their consequences on the overall corporate reputation of the hospitality industry. This recommendation is based on the fact that, currently, new cases and mortality rates have decreased considerably. As a result, customers in the hospitality industry have started to have different opinions about complying with COVID-19 preventive measures.

The study is among new endeavors to investigate drivers that can rebuild and sustain the corporate reputation of hospitality organizations during a pandemic like COVID-19.

The deployment of artificial intelligence (AI) technologies in travel and tourism has received much attention in the wake of the pandemic. While societal adoption of AI has accelerated, it also raises some trust challenges. Literature on trust in AI is scant, especially regarding the vulnerabilities faced by different stakeholders to inform policy and practice. This work proposes a framework to understand the use of AI technologies from the perspectives of institutional and the self to understand the formation of trust in the mandated use of AI-based technologies in travelers.

An empirical investigation using partial least squares-structural equation modeling was employed on responses from 209 users. This paper considered factors related to the self (perceptions of self-threat, privacy empowerment, trust propensity) and institution (regulatory protection, corporate privacy responsibility) to understand the formation of trust in AI use for travelers.

Results showed that self-threat, trust propensity and regulatory protection influence trust in users on AI use. Privacy empowerment and corporate responsibility do not.

Insights from the past studies on AI in travel and tourism are limited. This study advances current literature on affordance and reactance theories to provide a better understanding of what makes travelers trust the mandated use of AI technologies. This work also demonstrates the paradoxical effects of self and institution on technologies and their relationship to trust. For practice, this study offers insights for enhancing adoption via developing trust.

This paper aims to evaluate the role of depositor-specific features in a bank resolution. As the resolution framework in the EU is rather new, there are no empirical studies referring to the efficiency of this mechanism in protecting financial stability. Thus, the authors have checked the role of societal awareness of deposit guarantee schemes and the resolution, as well as the trust in public institutions, in avoiding bank runs in the case of resolution scenarios.

The study is based on telephone interviews conducted with 1,000 Poles, including bank customers whose banks have undergone resolution in recent years, and basic statistics of the resolved banks. The authors then apply two classes of models: binary probit regression and ordered probit regression.

The findings have indicated that the trust in public institutions and the experience gained with age play a key role in overall depositor behaviour. However, for resolutions, declared trust is replaced by case-specific trust based on the obtained information.

The survey is based on a sample of Polish citizens. In the future, international surveys may help diagnose cross-country differences among depositors. Moreover, studies on communication approaches may also support finding highly effective ways to reach various cohorts of depositors.

The existing literature on depositor behaviour in bank failure scenarios has relied on an experimental approach to test various research hypotheses. The research sample is not based on an experiment but on the responses of customers whose banks have actually undergone resolution.