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This study aims to investigate the factors that make people want to hold cryptocurrency. Besides prior experience with holding crypto, this paper considers various expectations and conjectures about the future as key determinants.

Data for this study come from an online survey in the USA. Econometric analyses help to quantify the relative importance of drivers of demand for cryptocurrency.

Survey respondents will more likely hold cryptocurrency in the future the more they expect cryptocurrency to replace government money, to increase transparency in monetary affairs and to yield high profits. Importantly, demand is shown to be driven by the anticipation that nonmonetary uses of the Blockchain technology will have a spillover effect on the Bitcoin price. By contrast, subjective expectations of a crypto-induced financial crisis dampen demand. Econometric analyses show that differences in the future demand among people with and without prior holdings of cryptocurrency largely stem from differences in their expectations.

By relating individuals’ expectations to their plans, the present approach offers more insights than the mere attitude surveys already available. This paper’s insights on crypto demand drivers indicate that regulators should be wary about signaling safety of an asset whose fundamental value is still uncertain.

This study explores the relationships between corporate board characteristics (CBCs) and corporate social responsibility budget (CSRB) of selected Bangladeshi banks. CSRB was regarded as the sole dependent variable. In contrast, CBCs was separated into three independent constructs: board members' age (BMA), board members’ educational level (BMEL) and the number of board meetings per year (NBMY). A single moderator, corporate reputation (CR), was used to assess the moderating impact on the direct relationships.

Annual reports from 2017 to 2021 (5 years) of 25 selectively listed Bangladeshi banks were used as study samples. Further, the researcher conducted informal interviews with 251 board members of those selected banks using a semi-structured questionnaire. The study used “multiple regression analysis” to evaluate the moderating effects on the three direct relationships and “Pearson's correlation coefficient” to assess the immediate impacts.

After analysis, the results revealed that all the three independent components, BMA, BMEL and NBMY, have substantial positive relationships with the dependent variable, CSRB. Moreover, it was identified that CR can moderate (strengthen) all the three direct relationships. 

Corporate governance (CG) and CSR are two hot topics both in academia and practice. This study highlighted the corporate board characteristics and CSR budget, two new dimensions of CG literature that are required to be paid more attention to. The researcher expects this study to enhance the literature focused on these newer dimensions of CG that might benefit both academics and practitioners.

Knowing financial and economic information beforehand benefits in planning and developing policies for every country especially for a developing country like Thailand and for other Asian countries. Unfortunately, missing data or non-response plays an essential role in many areas of studies including finance and economics. Eradication of missing data in a proper way before further analysis can gain remarkable outcomes and can be effective for planning policies. This review on the generalized regression estimators for population total can be applied to financial, economic and other data when missing data are present.

The generalized regression estimators for estimating population total, including the variance estimators under unequal probability sampling without replacement with missing data are explored under the reverse framework. Applications to financial and economic data in Thailand are also reviewed.

The review of literatures related to the proposed estimator shows the best performance, giving smaller variances in all scenarios.

The generalized regression estimators can assist in estimating financial and economic data that contain missing values with different missing mechanisms and can be used in other applications which help gain more superior estimators.

The authors examine whether or not applicants and recipients of federal disability insurance (DI) inflate their self-assessed health (SAH) problems relative to others. To do this, the authors employ a technique which uses anchoring vignettes. This approach allows them to examine how various cohorts of the population interpret survey questions associated with subjective self-assessments of health. The results of the analysis suggest that DI participants do inflate the severity of a given health problem, but by a small but significant degree. This tendency to exaggerate the severity of disability problems is much more apparent among those with more education (especially those with a college degree). In contrast, racial minorities tend to underestimate severity ratings for a given disability vignette when compared to their white peers.

The purpose of this study to explore the perception, satisfaction, awareness and attitude levels of clients towards Islamic banking in Oman. By recognizing the elements affecting client affiliation with Islamic banks, this examination means to give important experiences to further developing client commitment and fulfilment in the Islamic financial area.

This study embraces a quantitative methodology, using SPSS@28 programming for information investigation. Information was gathered through studies directed to clients of Islamic banks in Oman. Exploratory factory analysis (EFA) was led to distinguish key variables impacting client affiliation, and dependability examination was performed using Cronbach’s alpha.

The discoveries uncover that perception arises as the main variable impacting client connection with Islamic banks in Oman, followed intently by satisfaction and awareness. Notwithstanding, the attitude factor displayed lower unwavering quality. Factual tests affirm the vigor of the noticed patterns, featuring the significance of perception, satisfaction and awareness in driving client commitment with Islamic financial establishments.

This study is dependent upon specific constraints, as it centres exclusively around clients’ viewpoints and does not consider the perspectives of non-clients or partners in the Islamic financial industry. Future exploration could investigate these viewpoints to give a more complete comprehension of the variables impacting client connection with Islamic banks in Oman.

The discoveries of this study have commonsense ramifications for Islamic financial foundations in Oman. By understanding the elements impacting client alliance, banks can foster designated methodologies to improve client commitment, fulfilment and steadfastness. This might include further developing correspondence endeavours, improving assistance quality and tending to client concerns to encourage a positive financial encounter.

This study adds to the current writing by giving experimental experiences into the discernments, mentalities, mindfulness and fulfilment levels of clients towards Islamic banking in Oman. The recognizable proof of key elements impacting client affiliation with Islamic banks offers important direction for banking foundations trying to reinforce their associations with clients and work on general execution in the Islamic financial area.

This study aims to investigate the relationship between dynamic capabilities and sustainable business performance in Vietnamese small- and medium-sized enterprises (SMEs), focusing on the mediating role of digitalization strategies. Specifically, the authors seek to explore whether and how the three critical characteristics of dynamic capabilities (DCs) – sensing, seizing and transforming capabilities – are linked to business model innovation (BMI) or sustained performance and what dimensions contribute to their development and adoption in digitalization strategies.

The authors analyse a sample of 596 Vietnamese SMEs using a validated measurement framework to explore the three clusters of DCs activities and their contributions to digitalization strategies, BMI and sustainable business performance across economic, social and environmental dimensions.

The study highlights the pivotal role of sensing, seizing and transforming capabilities in the adoption of digitalization strategies, BMI, as well as in promoting sustainable business performance. Firstly, sensing capability profoundly influences product digitalization strategy, whereas seizing capability has the greatest impact on process digitalization strategy. Secondly, sensing and transforming capabilities significantly contribute to BMI. Thirdly, both process and product digitalization strategies exert a significant positive influence on sustainable business performance, especially the environmental dimension. Finally, the study exhibits the indirect impacts of seizing and sensing capabilities on sustainable business performance through product and process digitization strategies.

This study extends recent research by investigating the DCs underlying a firm’s digitalization strategies and contribute to ongoing calls for further investigation in the DCs literature. This research design, which draws from a validated measurement framework, responds to recent calls to broaden the toolkit used in DCs research. The practical implications of this study can benefit SMEs in Vietnam and beyond as they seek to enhance their digitalization strategies and achieve sustainable competitive advantage.

This study investigated the gender wage gap in Nigeria by analysing two waves of household surveys (in 2003–2004 and 2018–2019) in order to understand the dynamics or polarisation of the labour market in Nigeria in terms of the gender wage gap over time.

The study applied an extension of Oaxaca–Blinder decomposition that relies on the re-centred influence function (RIF) regressions to analyse the gender wage gap at all points along the wage distribution.

The results unambiguously show that there is a significant gender wage gap in Nigeria at all points along the wage distribution, such that for the two surveys used and after nearly two decades, men still earn more than women. That is, the log wage difference between males and females is statistically significant at all points between the 10th and the 90th quantiles. In 2003–2004 period, the authors found that most of the wage difference was significantly accounted for by the wage structure effect, whilst the composition effect was negative and only significant at the bottom of the wage distribution. Since the 2018–2019 period, the authors found that there has been a visible change such that most of the gender wage gap is now accounted for by the composition effect at all points along the wage distribution. Another interesting finding is that there has been a general decline in the gender wage gap along the entire wage distribution, such that inequality was higher in 2003–2004 than in 2018–2019. This decline is bigger at the top than at the bottom of the wage distribution. The authors also found that, contrary to some of the studies on the wage gap, the raw gaps for the two surveys appear to show inverted U-shape, but the gap has fallen quickly since the 2018–2019 period. Thus, the authors found strong evidence of a “sticky floor” compared to a “glass ceiling” effect in both periods, and this becomes more pronounced over time. In terms of the contributions of individual covariates on gender pay gap in Nigeria, the authors found that urban residence, unionisation, education and occupation variables exhibit major influence. However, the effects of covariates on the composition and wage structure components of the wage gap have changed over time.

The major policy implication of these findings is that to address the gender wage gap in Nigeria, policy should focus more on how labour is rewarded and improving human capital for women.

This study is a novel paper in Nigeria that has investigated the gender wage gap in Nigeria by extending the focus of literature in three ways. First, the authors applied an extension of Oaxaca–Blinder decomposition that relies on the RIF regressions to analyse the gender wage gap at all points along the wage distribution. Second, the authors used sample selection bias to account for the non-randomness of participation in wage employment. And third, the authors applied similar analysis to two waves of household surveys (in 2003/2004 and 2018/2019) in order to understand the dynamics or polarisation of the labour market in Nigeria in terms of the gender wage gap over time.

This study aims to investigate the influence of cultural values on perceptions of corporate sustainable development (CSD). In recent years, the intensity of the connection between cultural values and SD has been a heavily debated topic. Subsequently, this issue has gained considerable attention from management academics.

To shed light on this phenomenon, this study uses econometric techniques (linear regression) and conducts a survey of business executives in medium and large firms to search for evidence that cultural values significantly affect perceptions of CSD.

The findings indicate that forward-looking executives who envision themselves as individuals rather than members of a group exhibit more positive perceptions of CSD practices than the rest.

To the best of the authors’ knowledge, this is the first empirical assessment of cultural values on the perceptions of the three aspects (economic, social and environmental) of CSD.

Given that women around the world face more exclusion in terms of limited access to economic and innovation activities than men do, it is understandable that some female-led start-ups in weak institutional environments engage in bribery to help reduce the difficulties they encounter in the face of intense business competition. However, the link between bribery and product innovation performance is unclear. The purpose of this study is to investigate the relationship between bribery and product innovation performance for female-led start-ups, as well as the roles of institutional support and self-control in this link.

This empirical study evaluates survey data from female-led manufacturing start-ups in China's Yangtze River Delta region to investigate the relationship between bribery and product innovation performance.

This research shows that bribery has an inverted U-shaped impact on product innovation performance in female-led manufacturing start-ups, meaning that the product innovation performance of these firms initially increases but then decreases as the bribery intensity (i.e. the frequency and amount of bribes) increases. The authors also focus on the roles of institutional support and self-control in this link, where the authors find that this relationship is steeper for firms with strong institutional support, as well as for individual female entrepreneurs who have high levels of self-control.

The findings of this study indicate that policymakers should undertake efforts to improve institutional quality (e.g. increasing clarity around decisions, providing more institutional support, etc.) and to guide female entrepreneurs to cultivate higher levels of self-control, as such efforts would reduce the appeal of, and the opportunity for, bribery.

To date, very few studies focus specifically on female-led enterprises in the field of bribery research. The research findings presented here on the effect of bribery in female-led start-ups on firm product innovation performance are useful to researchers, policymakers and businesspeople, as they provide a better understanding of bribery in female-led start-ups in China, which can also be extrapolated to encompass other transition economy contexts.

The purpose of the research has been the primary consideration and evaluation of a cost effective, reliable, robust and simple process of radio frequency identification (RFID)-based stock control, asset management and monitoring of concrete safety bollards used in the road environment. Likewise, the consideration of the use of the same system and technology to other items in and around the general road infrastructure.

The research approach undertaken has been an evaluation of the use of currently available RFID technology, with a key emphasis on low cost, ease of use, reliability and convenience. Practical field exercises completed in considering the relevant RFID tags and readers and associated software and apps and necessary software integration and development have been undertaken. At the same time, evaluating the specific limits created in the specific environment is being applied. Of particular interest has been the use of a moving scan in a vehicle drive-through or pass-bye, type reading system. This has been determined to be viable and completely practical, drastically reducing the key issue of time-taken. Practical application of the system from idea to real life application has been undertaken. The integration of the use of the RFID tag and reader system with necessary and related software to database upload and storage has been established. The creation of an online facility to allow the appropriate use of the data and to include the convenient output of an asset report has been undertaken.

The findings have provided the necessary insight confirming the use of RFID technology as a simple yet reliable, cost effective and adaptable stock control, asset management and geo-locating system in the road environment. The use of such systems in this particular environment is in its infancy, and is perhaps novel and original in the specific aspect of using the system to stock control, manage and monitor road safety concrete bollards and other roadside objects in the road environment.

To establish if in fact, stock control geo-locating can be reliably undertaken with the use of RFID tags and readers in the specific road and road construction environment, particularly with the use of moving RFID reading of passive tags. To establish the minimum requirements of a field usable RFID tag and reader, specifically applicable to the concrete safety bollards, however to other roadside furniture. To identify the minimum requirements of a function, simple app to minimise general requirements of the overall stock control and monitoring of the RFID-tagged objects. To establish the possibility of reading the tag data, global positioning system (GPS) location and video imaging footage as a single operation function. To determine the basic parameters or limits of the GPS geo-locating, on the proposed products selected and overall system. To determine the current best practice in respect of reasonable accuracy and detail in relation to price considerations to a fully function stock control and monitoring system. To identify the minimum requirements of an online database to receive, house and provide ongoing access to and report on the data. To identify the key differences and benefits between traditional stock control and monitoring systems, against that of proposed RFID tag, read and geo-locating system.