Search results

Transformative generative artificial intelligence (AI) tools, such as ChatGPT, have revolutionized various sectors, including higher education. Since its release in November 2022, it has gathered attention from academia, scholars, students, regulators and education policymakers. Opinions diverge on whether ChatGPT’s use in academia should be circumscribed or regulated. To offer insights into some of these, this study synthesizes 139 contributions (articles and blogs) authored by instructors, publishers, professors, editors and education journalists in the education domain.

The study uses sentiment analysis and topic modelling to examine the 139 articles and blogs. Drawing on their insights, it firstly explores emotional dimensions of the content. Subsequently, using critical discourse analysis, it integrates them with emerging concerns (what and why), and explicates key processes (how) to inform academia, research, practice and policy.

Drawing on the results obtained from sentiment analysis, the study identifies that the overall sentiments surrounding generative AI tools such as ChatGPT in higher education are more positive (33%) than negative (11%). Using topic modelling, the study further highlights four thematic areas to explore benefits and challenges: perceptions and biases, pedagogical impact, ethical considerations and implementation and adoption.

Limitations include the absence of student perspectives, which may offer deeper insights into perception, pedagogical impacts, and integrity-related issues. Additionally, while findings are applicable across various domains, specialized areas may present differing insights that could refine the conclusions.

Overall, contributors acknowledge the capabilities of generative AI tools like ChatGPT in enhancing students’ productivity. The findings suggest that it is likely to offer significant gains in the education domain, providing several benefits to both teachers and students. Nevertheless, they also consider its limitations, discrimination and bias, copyright infringement, plagiarism, fabricated unauthentic textual content and assessment bias.

In the state of Hawaii, it has been shown that certain ethnic minority groups, such as Filipinos and Pacific Islanders, suffer disproportionally high rates of cardiovascular disease, evidence that local health-care systems and governing bodies fail to equally extend the human right to health to all. This study aims to examine whether these ethnic health disparities in cardiovascular disease persist even within an already globally disadvantaged group, the houseless population of Hawaii.

A retrospective chart review of records from Hawaii Houseless Outreach and Medical Education Project clinic sites from 2016 to 2020 was performed to gather patient demographics and reported histories of type II diabetes, obesity, hyperlipidemia, hypertension and other cardiovascular disease diagnoses. Reported disease prevalence rates were compared between larger ethnic categories as well as ethnic subgroups.

Unexpectedly, the data revealed lower reported prevalence rates of most cardiometabolic diseases among the houseless compared to the general population. However, multiple ethnic health disparities were identified, including higher rates of diabetes and obesity among Native Hawaiians and other Pacific Islanders and higher rates of hypertension among Filipinos and Asians overall. The findings suggest that even within a generally disadvantaged houseless population, disparities in health outcomes persist between ethnic groups and that ethnocultural considerations are just as important in caring for this vulnerable population.

To the best of the authors’ knowledge, this is the first comprehensive study focusing on ethnic health disparities in cardiovascular disease and the structural processes that contribute to them, among a houseless population in the ethnically diverse state of Hawaii.

The purpose of this paper is to investigate and review the impact of the use of statistical quality control (SQC) development and analytical and numerical methods on average run length for econometric applications.

This study used several academic databases to survey and analyze the literature on SQC tools, their characteristics and applications. The surveys covered both parametric and nonparametric SQC.

This survey paper reviews the literature both control charts and methodology to evaluate an average run length (ARL) which the SQC charts can be applied to any data. Because of the nonparametric control chart is an alternative effective to standard control charts. The mixed nonparametric control chart can overcome the assumption of normality and independence. In addition, there are several analytical and numerical methods for determining the ARL, those of methods; Markov Chain, Martingales, Numerical Integral Equation and Explicit formulas which use less time consuming but accuracy. New ideas of mixed parametric and nonparametric control charts are effective alternatives for econometric applications.

In terms of mixed nonparametric control charts, this can be applied to all data which no limitation in using of the proposed control chart. In particular, the data consist of volatility and fluctuation usually occurred in econometric solutions. Furthermore, to find the ARL as a performance measure, an explicit formula for the ARL of time series data can be derived using the integral equation and its accuracy can be verified using the numerical integral equation.

This study aims to investigate whether organizational complexity (hereafter firm complexity) increases audit report lag (ARL) in a unique environment of GCC countries.

The research study uses a panel data set of 6,084 firm-year observations of nonfinancial firms from GCC economies from 2009 to 2022. First, the study uses an ordinary least square estimator to examine the association of firm complexity with ARL. Second, for robustness purposes, the study applies the propensity score matching technique.

This research study finds that the firms’ complexity increases ARL. Supporting the argument that auditors respond to firm complexity with increased effort, the authors find a positive relation of firm complexity with ARL. This relationship is augmented by auditor change, auditors’ tenure, auditor-qualified opinion and adoption of IFRS. In addition, the authors also find that Big-4 and audit firm industry specialization curtail the positive impact of firm complexity on ARL.

Firms in the GCC have less time to complete their audit and complex firms are likelier to have bigger ARLs. This study provided evidence regarding the curtailing effect of audit quality in GCC. Our findings suggest policymakers and reformers choose improved audit quality to reduce the possibility of larger ARL.

This study enriches the scholarship by presenting a mechanism for reducing the ARL of complex firms through higher audit quality. This study contributes to agency theory by emphasizing audit quality’s important role in emerging markets.

Most scientific research has focused on understanding Ponzi schemes from the point of view of the schemes and their operators, based on qualitative analysis. This paper aims to analyze Ponzi schemes from the perspective of their investors, emphasizing behavioral aspects, which have been little explored in the scientific literature, especially in quantitative research. In this way, the authors sought to understand the effects of heuristics and cognitive biases in understanding investor behavior.

A logistic regression was carried out with Brazilian investors, some of them participants in Ponzi schemes, who answered a structured questionnaire by means of a survey.

The authors found that social pressures, overconfidence and deliberate ignorance lead to credulity, generating little risk analysis and the desire to make a lot of money quickly.

Helping investors improve their levels of information through financial education and self-knowledge about their behavior. Contribute to the competent authorities in the search for improvements in the information displayed to investors.

Understanding the mechanisms used when making a financial decision from the point of view of investors in general, but especially those exposed to Ponzi schemes, has the mission of enlightening them about the importance of financial education and the weight of psychological factors so that they can reduce the effects of heuristics and analysis biases when faced with a financial decision.

The basis of this work will be the inclusion of psychological variables and financial education, adapting existing models in an attempt to demonstrate the effects they may or may not have on mental accounting in the specific case of investors

The construction industry is widely recognized as one of the most hazardous sectors in the world. Despite extensive research on safety management, a critical issue remains that insufficient attention is devoted to safety practices in rural areas. Notably, accidents frequently occur during the construction of rural self-built houses (RSH) in China. Safety management tends to be overlooked due to the perceived simplicity of the construction process. Furthermore, it is essential to acknowledge that China currently lacks comprehensive laws and regulations governing safety management in RSH construction. This paper aims to analyze the behavior of key stakeholders (including households, workmen, rural village committee and the government) and propose recommendations to mitigate safety risks associated with RSH construction.

This paper applies evolutionary game theory to analyze the symbiotic evolution among households, workmen and rural village committee, in situations with or without government participation. Additionally, numerical simulation is utilized to examine the outcomes of various strategies implemented by the government.

Without government participation, households, workmen, and rural village committee tend to prioritize maximizing apparent benefits, often overlooking the potential safety risks. Numerical simulations reveal that while government involvement can guide these parties towards safer decisions, achieving the desired outcomes necessitates the adoption of reasonable and effective strategies. Thus, the government needs to offer targeted subsidies to these stakeholders.

Considering that during the construction phase, stakeholders are the main administrators accountable for safety management. However, there exists insufficient research examining the impact of stakeholder behavior on RSH construction safety. This study aims to analyze the behavior of stakeholders about how to reduce the safety risks in building RSH. Thus, the authors intend to contribute to knowledge in this area by establishing evolutionary game model. Firstly, this study carried out a theoretical by using tripartite evolutionary game to reveal the reasons for the high safety risk during building RSH. Practically, this research points out the important role of households, workmen and rural village committee in improving safety management in rural areas. Besides, some suggestions are proposed to the government about how to reduce construction safety risks in rural areas.

This paper aims to explore the potential effect of key audit matters (KAM) on the audit report lag (ARL). In particular, it aims to discover whether the number of KAMs reported by an audit firm in Jordan is related to the length of its ARL.

The authors analysed data from the first three years of KAM reporting in Jordan (2017–2019) for 194 public listed Jordanian companies to examine the relation between the number of KAMs and the ARL, taking into account several control variables related to the Jordanian context.

This study found that there is no statistically significant relation between the number of KAMs reported by Jordanian audit firms and their ARLs, suggesting that the KAM reporting in Jordan is somewhat superficial, with the selection of what is actually reported as a KAM not directly related to the efforts needed to deal with its concerns. However, this study also found statistically significant positive relations between the ARL and each of audit fees, audit firm size, the issuance of a qualified audit opinion and company leverage and a statistically significant negative relation between the ARL and company profitability.

This is one of the very few studies to cover the potential relation between KAM reporting and the ARL. In a developing country context characterised by limited demand for an external audit of high quality, this study finds that auditors may decouple on their reporting of KAMs by not actually making significant efforts to deal with them.

The purpose of this study is to measure financial inclusion (FI) and to examine the role of digital financial literacy (DFL) and its components, and various socio-demographics in relation to FI. In addition, the mediating effect of digital financial attitudes (DFA) on the relationship between digital financial knowledge (DFK) and digital financial behaviour (DFB), as well mediating effect of DFA and DFB on the relationship between DFK and FI, is being explored.

Using a cross-sectional research design, we utilize a dataset from the survey of adults’ financial literacy in Bosnia and Herzegovina, collected from the representative sample of 1,096 adults in 2022. The main methodology relies on logistic and ordinal logistic regression analyses and PROCESS for mediation analyses.

The findings suggest that the effect of DFK on DFB is partially mediated by DFA. In addition, the effect of DFK on FI is fully mediated through three pathways: DFA, DFB, and DFA and DFB in serial mediation. Age, education, employment status and residence are significantly related to FI. Internet access is significant only for FI scores but not for adults’ banking status. Although women are almost twice as unbanked as men, we find no gender-based differences in financial product holdings, FI or adults’ banking status.

There is a need to enhance DFK and DFA to enable adults to use financial products. Financial institutions could use our results in designing and promoting their services.

Policy implications are seen in the need for developing national strategies for financial education, with an emphasis on strengthening DFL, especially DFK and DFA, which will enhance the formal FI of adults. Also, governments should work on expanding Internet access.

The results make a contribution to the theory of planned behaviour. They contribute to the limited empirical evidence of the mediating role of DFA in relationship to DFB, as well as the mediating role of DFA and DFB in relationship to FI.

Although online reviews have become a key source of information for consumer purchasing decisions, little is known about how the concreteness of language used in these reviews influences perceptions of deception. This study aims to address this important gap by drawing on psycholinguistic research and Language Expectancy Theory to examine how and when the concreteness of online reviews (abstract vs concrete) impacts consumers’ perceived deception.

Two scenario-based experiments were conducted to examine how the concreteness of online reviews (abstract vs concrete) influences consumers’ perceptions of deception, considering the mediating role of psychological distance to online reviews and the moderating effects of Machiavellianism (Mach) and reviewer identity disclosure.

Online reviews that include concrete language lead to lower perceived deception by reducing consumers’ psychological distance from the review. For consumers with higher levels of Mach, online reviews written in abstract (vs concrete) language result in higher perceived deception via psychological distance, while for consumers with lower Mach, online reviews written in concrete (vs abstract) language result in higher perceived deception via psychological distance.

To the best of the authors’ knowledge, this study is one of the first to highlight the relevance of linguistic style (i.e. concrete review vs abstract review) on consumers’ perceived deception toward online reviews in the context of e-commerce.

The framework enables managers of online retailing platforms to identify the most effective strategies to decrease consumers’ perceived deception via the appropriate utilize of linguistic styles of online reviews.

This study contributes to both theory and practice by deepening knowledge of how and when the concreteness of online reviews (abstract vs concrete) affects consumers’ perceived deception and by helping managers of online retailing platforms make the most effective\ strategies for reducing consumers’ perceived deception toward online reviews during online shopping.

This paper examines the role played by business cluster ecosystems and intellectual capital (IC) in achieving high-growth firm (HGF) status.

We draw our insights from the knowledge-based perspective and economic geography as a theoretical lens, which combined offer a more unifying understanding of how business cluster ecosystems and IC foster high growth entrepreneurship.

Drawing on a sample of 11,360 German incorporated firms across 80 clusters, we find that cluster ecosystems play a significant role in supporting firms to become HGFs. More specifically, being located in business clusters increases the likelihood of becoming HGFs by 2.2% to 4.49%. We also find that clusters with more productive firms in the ecosystems provide favorable conditions for member firms to achieve HGF status, while the impact of other cluster-specific conditions (high-tech cluster membership and multinational enterprise share in clusters) is less clear. Additional insights suggest that firm IC (investments in intangible assets) enables firms to achieve high growth status.

The findings of this paper hold theoretical and managerial relevance and shed more light on the impact of cluster-specific factors in the ecosystems and firm IC in achieving high growth entrepreneurship.

This paper is among the first of its kind to bring together three distinct literatures (HGFs, business clusters and IC) and utilize insights from each to derive a conceptual framework that links them in explaining high-growth entrepreneurship.