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The primary purpose is to empower financial institutions in AI integration decisions. By combining QSFS and the Golden Cut technique, the study establishes a robust foundation for assessing AI progress effects, aligning implementation with performance goals, and promoting technical innovation. Dimensions explored include AI-related workforce competency, technological adaption, and ethical AI practices, crucial components within the BSC framework for technological innovation.

This study employs a distinctive approach, integrating the Balanced Scorecard (BSC) framework with Quantum Spherical Fuzzy Sets (QSFS) and the Golden Cut approach to explore the dynamic landscape of AI deployment. The integration addresses uncertainties, enhancing impact assessment accuracy amid ambiguity associated with AI outcomes. QSFS and the Golden Cut technique together facilitate precise identification of thresholds and crucial values.

The research delves into the intricate relationship between enduring financial stability and AI progress, recognizing technology's crucial influence on financial decision-making. Findings underscore technology's significant impact on financial institutions' AI integration decisions. This novel approach provides a strong quantitative basis, offering insights into workforce competency, technological adaption, and ethical AI practices.

Despite valuable contributions, the study acknowledges limitations, such as potential biases and generalizability concerns, emphasizing the need for cautious interpretation and suggesting future research directions. Recognizing the research's boundaries and complexities in studying AI deployment in financial institutions underscores the need for ongoing exploration.

The research's originality lies in presenting an innovative methodology, integrating BSC, QSFS, and the Golden Cut, providing a unique perspective for decision-making. Contributions extend beyond academia, offering practical insights to enhance AI strategic implementation in the financial industry. This novel approach enriches the technology and finance discourse, fostering theoretical and practical advancements.

This study aims to investigate the effect of fear sentiment with a novel data set on Bitcoin’s (BTC) return, volatility and transaction volume. The authors divide the sample into two subperiods to capture the changing dynamics during the COVID-19 pandemic.

The authors retrieve the novel fear sentiment data from Thomson Reuters MarketPsych Indices (TRMI). The authors denote the subperiods as pre- and post-COVID-19 considering January 13, 2020, when the first COVID-19 confirmed case was reported outside China. The authors use bivariate vector autoregressive models given below with lag-length k, to investigate the dynamics between BTC variables and fear sentiment.

BTC market measures have dissimilar dynamics before and after the Coronavirus outbreak. The results reveal that due to the excessive uncertainty led by the outbreak, an increase in fear sentiment negatively affects the BTC returns more persistently and significantly. For the post-COVID-19 period, an increase in fear also results in more fluctuations in transaction volume while its initial and cumulative effects are both negative. Due to extreme uncertainty caused by the COVID-19 pandemic, investors may trade more aggressively in the initial phases of the shock.

The authors are convinced that the results in this paper have more far-reaching implications for other markets regulated by the states. BTC provides a natural benchmark to understand how fear sentiment drives and impacts the markets isolated from any interventions. Hence, the results show that in the absence of regulatory frameworks, market dynamics are likely to be more volatile and the fear sentiment has more persistent impacts. The authors also highlight the importance of using micro, asset-specific sentiment measures to capture market dynamics better.

BTC is not associated with any regulatory authority and is not produced by the governments and central banks. COVID-19 as a natural experiment provides an opportunity to explore the pure effects of market sentiment on BTC considering its decentralized and unregulated features. The paper has two main contributions. First, the authors use BTC-specific fear sentiment novel data set of TRMI instead of more general market sentiments used in the existing studies. Next, this is the first study to examine the association between fear and BTC before and after COVID-19.

This study aims to evaluate sustainable investment policies for housing in Qatar.

This paper proposes a new model for analyzing sustainable investment policies for housing demand in Qatar via a hybrid quantum fuzzy decision-making model. The study processed the criteria with the facial expression-based Quantum Spherical fuzzy DEMATEL and ranked the alternatives with the facial expressions-based quantum spherical fuzzy TOPSIS. Four factors were determined due to a comprehensive literature review (Environment, Housing Design, Building Design, and Surrounding the building), with five sustainable investment policy alternatives (Electricity production with renewable energies, Recycling systems and materials in construction, Transport with less carbon emission, Biodiversity for residents, and Resilience to natural disasters).

The analysis indicates that the design of the building is the most important factor (0.254), while the environment is the most influencing factor (0.253) regarding housing demand in Qatar. Transport with less carbon emission and electricity production with renewable energies are the most critical alternative investment policies.

This study provides useful insights for regulators, policymakers, and stakeholders in Qatar’s sustainable investment policies for housing demand. The main motivation of this study is that there is a need for a novel model to evaluate the sustainable investment policies for housing demand. The main reason is that existing models in the literature are criticized due to some issues. In most of these models, emotions of the experts are not taken into consideration. However, this situation has a negative impact on the appropriateness of the findings. Because of this situation, in this proposed model, facial expressions of the experts are considered. With the help of this issue, uncertainties in the decision-making process can be handled more effectively.

This paper aims to achieve two goals: first, to evaluate the existing interest-free monetary policy tools in the major Islamic financial hubs of Malaysia, Pakistan and Bahrain and; second, to suggest how monetary policy tools in Turkey can be used in other countries.

This study follows a qualitative research method based on literature review, comparison, evaluation and design.

The policy rate cannot be used due to Shariah concerns. The reserve requirement depends on qard, and the reserves should be kept separately in the central bank. In terms of ijarah sukuk, Shariah concerns should be taken into account and a new structure, as displayed in Figure 3, should be followed. Government investment certificates can be used as an interest-free monetary policy tool. A genuine mudarabah interbank investments can also be used. Wadiah acceptance with no habitual gift can be used as well, and Tawarruq and central bank notes are not preferable due to Shariah concerns as well. Having said that, a Turkey-based tawarruq platform can be structured for others to use instead of applying to London.

This paper’s unique suggestion is to develop an interbank taqaruz market and a taqaruz method with the central bank. It is also unique for Turkey in the subject.

Following behavioral finance and monetary wisdom, the authors theorize: Decision-makers (investors) adopt deep-rooted personal values (the love-of-money attitudes/avaricious financial aspirations) as a lens to frame critical concerns (short-term and long-term investment decisions) in the immediate-proximal (current income) and distal-omnibus (future inheritance) contexts to maximize expected utility and ultimate serenity across context, people and time.

The authors collected data from 277 active equity traders (professional money managers and individual investors) in Pakistan’s two most robust investment hubs—Karachi and Lahore. The authors measured their love-of-money attitude (avaricious monetary aspirations), short-term and long-term investment decisions and demographic variables and collected data during Pakistan's bear markets (Pakistan Stock Exchange, PSX-100).

Investors’ love of money relates to short-term and long-term decisions. However, these relationships are significant for money managers but non-significant for individual investors. Further, investors’ current income moderates this relationship for short-term investment decisions but not long-term decisions. The intensity of the aspirations-to-short-term investment relationship is much higher for investors with low-income levels than those with average and high-income levels. Future inheritance moderates the relationships between aspirations and short-term and long-term decisions. Regardless of their love-of-money orientations, investors with future inheritance have higher magnitudes of short-term and long-term investments than those without future inheritance. The intensity of the aspirations-to-investments relationship is more potent for investors without future inheritance than those with inheritance. Investors with low avaricious monetary aspirations and without inheritance expectations show the lowest short-term and long-term investment decisions. Investors' current income and future inheritance moderate the relationships between their love of money attitude and short-term and long-term decisions differently in Pakistan's bear markets.

The authors help investors make financial decisions and help financial institutions, asset management companies, brokerage houses and investment banks identify marketing strategies and investor segmentation and provide individualized services.

Professional money managers have a stronger short-term orientation than individual investors. Lack of wealth (current income and future inheritance) motivates greedy investors to take more risks and become more vulnerable than non-greedy ones—investors’ financial resources and wealth matter. The Matthew Effect in investment decisions exists in Pakistan’s emerging economy.

The purpose of this study is to analyze whether whistleblowing is a fact among accounting professionals when there is a serious wrongdoing at the workplace and to investigate the differences between accounting professionals about whistleblowing intention according to demographic variables. This paper reviews whistleblowing behavior in the context of professional accounting in Turkey. This study discusses whistleblowing event and analyzes it by using the scenario technique.

Three whistleblowing scenarios were used and participants were asked to indicate the likelihood that the individual in the scenario would blow the whistle. Participants indicated blowing the whistle action on a seven-point likert-type of scale for the given scenario.

The main hypothesis is the differences between whistleblowing behavior of accounting professionals in relation to such demographic characteristics as working conditions, total tenure, gender, age, membership and number of customers according to the scenario. The findings support that accounting professionals' demographic factors are important to understand the whistleblowing behavior from their perspectives. Whistleblowing is experienced among accounting professionals above the average level for each scenario. There are no differences about accounting professionals' whistleblowing behavior in terms of their demographic characteristics (working circumstances, total tenure, age, membership and number of customers) with the exception of gender and age variables.

This study's results come with some limitations. One limitation is the low response rate achieved in the data collection process. Another limitation is that this study is conducted among accounting professionals, so these finding results cannot be generalized to other different professionals in Turkey.

The findings of the study may get the board of directors' or managers' attention to the point that they should become aware of the importance of whistleblowing in their organizations to encourage employees to report the wrongdoings internally.

When employees report these wrongdoings outside the organization, corporate reputation of the company can be damaged. This ethical issue should be solved in the context of the organization.

This study aims to make several contributions to the accounting and management literature. First, it extends the recent accounting literature on whistleblowing by examining demographic characteristics. Second, most of the studies use questionnaire to collect the data from the participants, but in this study, the authors used the scenario technique that reflects the whistleblowing behavior tendency in a work environment in order to learn accounting professionals' evaluations of whistleblowing behavior.

This study aims to explore the evolution of the Islamic capital market (ICM) from the perspective of research publications.

A bibliometric analysis was applied based on selected publications from the Web of Science Core Collection (WoSCC) database from 2000 to 2021. The study adopted VOSviewer software which was developed by Leiden University.

This study has some implications that need urgent action. Firstly, there are some areas that have received little attention among researchers, although they are relevant to the industry, for instance, in fintech and blockchain in ICM. Secondly, the inconsistent frequency of publications in some niche areas may suggest that there are unprecedented events that hinder further research; probably, the researcher may anticipate more information and progress in the industry. Thirdly, the need to strengthen the collaboration between industry and academia to advance research.

This study considered only the WoSCC database. The provider of WoSCC is Clarivate (formerly known as Thomson Reuters), where access to publications is limited to institutional subscribers. The implications of this study are to identify and propose future research trends in the field of ICM.

To the best of the authors’ knowledge, the present study is among the pioneer studies in analysing bibliometric focusing on ICM. Previous research has focused on Islamic finance and banking, and not specifically on ICM. Accordingly, this study sheds light on research gaps in ICM.

The purpose of the study is to investigate how religiosity affects these relationships in Turkey where consumption is de-stigmatized among a new economic elite with strong ties to Islamism. The literature commonly associates religion and ideology with anti-capitalism and anti-consumption. Although consumer researchers have studied both topics, examination of whether materialistic values translate into status consumption and whether religiosity has an effect on the relationship between status consumption and consumer attitude to debt remains scant.

This paper investigates the relationship of materialism to status consumption and the mediating role of Islamic religiosity on the relationship between status consumption and attitude to debt. Structural equations modeling was used on a judgmental sample of 267.

The results showed that the materialistic values positively affect status consumption for the Islamists. This paper concludes that Islamic religiosity, not only does not reject consumption but also augments the relationship between status consumption and consumer attitude to debt.

The findings have shown that previous studies that identify Islam as a threat to consumerism have overseen the class struggles and the role of status consumption. This paper successfully provided empirical evidence that the religiosity not only does not reject consuming but intensifies the relationship between status consumption and attitude to debt for those with Islamist dispositions.

This study aims to illustrate the developmental and modernizational state management policies in the early Turkish Republic in the 1930s through the establishment of state-owned cotton textile factories in underdeveloped regions of the country. It analyzes the state’s industrial-cum-social engineering policies and their micro-level role in Turkish economic development.

To illustrate the government’s role in regional industrialization and modernization, this study uses an in-depth case analysis conducted in a sample of textile plants based on a microhistorical approach.

Turkey is considered among late developing countries. Following the War of Independence at the beginning of the 20th century, the new government focused on regional industrialization and social transformation through state-owned universal banks[1] acting as state agents of industrialization and modernization. Primary among them, Sümerbank constructed industrial plants in underdeveloped towns which subsequently became the nuclei of growing industrial centers of private enterprise. Sümerbank plants were also micro-level tools of westernization-based modernization of the society under the social engineering objectives of the new government.

This study uses a specific industrial policy measure (establishment of industrial plants) in explaining the state’s role in industrialization, regional development and social engineering. It sheds new light on the literature on state-led industrial-cum-modernization policies during earlier phases of economic development. It contributes to the international literature on the history of state management of economic and social development.