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The purpose of this paper is to examine how the Chinese Central Government’s plan to alleviate brain drain, called the Thousand Talents Plan, has been glocalized by three major local governments: Shanghai, Tianjin, and Guangdong.

The lens of glocalization pays special attention to the impact of local reactions to global forces. Materials from the Recruitment Program of Global Experts for three major cases were examined for glocal characteristics. An analysis of each case was carried out to compare the strategies and implementations to explore the individual glocalizations and larger national similarities.

The findings show that each of the localities has distinct regional variations in their strategies: Shanghai utilized its economic prowess, Tianjin focused on clustering experts, and Guangdong maximized its geographic proximity to Hong Kong. At the same time, all three policies were still rooted in human capital development theory, with a keen emphasis to attracting migrants with greater propensity for staying long term in China.

The study of brain drain is important because it is a problem that plagues communities around the world, especially non-western societies. While China’s tactics to combat brain drain have been examined, the consideration of glocalization in the cases of Shanghai, Tianjin, and Guangdong have not been carried out.

Global temperature has risen by 1°C since 1900, while since the 1990s the Arctic has recently experienced an accelerated warming of about double the average rate of global warming. Nearly all climate scientists agree that the main cause of this temperature rise is ever-increasing accumulations of ‘greenhouse gases’, especially carbon dioxide and methane, within our atmosphere. Sea level rise could easily exceed one metre this century under ‘business as usual’. However, global warming is not just about rising temperatures, melting ice and rising sea levels, but it also affects the frequency and severity of many extreme weather events. Planetary warming is not a uniform process, can spring surprises in regional climate change and is probably linked with the tendency for Northern Hemisphere mid-latitudes to have more extreme (variously hot/cold/dry/wet) weather, especially during the recent period of rapid Arctic warming. There is overwhelming scientific evidence that human activity through enhanced greenhouse gas emissions is largely responsible for recent climate change and accompanying extreme weather, and we are already clearly seeing these changes. However, it is equally evident that, although initial remedial steps are being taken, finding an adequate solution will not be easy unless much larger changes are made to the way in which we all live. Limiting global warming to 1.5°C above pre-industrial temperatures would require global carbon dioxide emissions to decrease by approximately 40–60% by 2030 relative to 2010 levels. This can only be achieved through a collective solution that fully involves diverse communities, among them religious stakeholders.

This study introduces the concept of financial advice deserts (FADs), including financial advice received from personal financial advisors (PFAs) and Certified Financial Planners™ (CFP professionals) and investigates the association between living in these FAD states and the retirement planning activities of individuals.

This study uses merged data gathered from multiple sources including (1) available state-level information on CFP professionals from the CFP board website, (2) state-level information on PFAs from the US Bureau of Labor Statistics and (3) individual levels of retirement planning behavior and other personal characteristics from the 2018 FINRA National Financial Capability Study. Using web data extraction tools and logistic regression analyses, this study examines the association between a series of individual retirement planning activities and living in the FAD states.

The study found that living in the FAD states was negatively associated with both having retirement accounts and contributing regularly to retirement accounts. Overall, the findings of this study underscore the need for providing greater access to financial advice and improving financial literacy among financially marginalized populations who are residing in FAD states in the United States of America.

This study makes unique contributions to the literature by raising the issue of geographic inequality in terms of access to financial advice and introducing the innovative notion of FADs. The findings provide fresh insights into the understanding of retirement planning and preparedness from the perspective of state-level inequality of financial advice through PFAs and CFP professionals, thereby expanding the previous knowledge that emphasizes only individual- and household-level differences. Significant implications for public policies and practitioners are also discussed.

Although annuitization provides insurance against longevity risk that can benefit households, researchers have uncovered an annuitization puzzle, which suggests households are reluctant to annuitize their wealth. This study contributes to the discussions on the annuitization puzzle by examining investor sophistication and owning annuities in non-retirement accounts.

The study utilizes data from the 2018 U S National Financial Capability Study (NFCS). The empirical analyses are based on logistic regression estimates of annuity ownership on investor sophistication. Interpretations are based on odds ratios.

The findings indicate that investor sophistication contributes to the annuity puzzle. Investors with low objective and high subjective investment knowledge (overconfident investors) are more likely to own annuities compared to those with low objective and low subjective investment knowledge. However, investors with high objective and low subjective investment knowledge (under-confident investors) are less likely to choose annuity ownership compared to those with low objective and low subjective investment knowledge. The findings and ensuing discussion highlight the importance of annuitization when planning for retirement, with implications for financial service professionals.

The measure of investor sophistication does not assess the difficulty level of each financial knowledge question. The questions used to construct the investor sophistication variable are based on general investment knowledge. In addition, the annuity ownership variable used in this study pertains to investments outside retirement accounts. Despite these limitations, the findings highlight the importance of annuitization when planning for retirement.

Unlike prior studies, the authors consider four mutually exclusive measures of investor sophistication constructed from measures of objective and subjective investment knowledge to understand the effect of investor sophistication on annuity ownership in the United States.

Research in the domain of behavioral finance has proven that investors demonstrate irrational behavior while making investment decisions. In a similar domain, the primary objective of this research is to prioritize the behavioral biases that influence cryptocurrency investors' investment decisions in the Indian context.

A fuzzy analytic hierarchy process (F-AHP) was used to prioritize the behavioral factors impacting cryptocurrency investors' investment decisions. Overconfidence and optimism, anchoring, representativeness, information availability, herding, regret aversion, and loss aversion are among the primary biases evaluated in the present study.

The findings suggested that the two most important influential criteria were herding and regret aversion, with loss aversion and information availability being the least influential criteria. Opinions of family, friends, and colleagues about investment in cryptocurrency, the sale of cryptocurrencies that have increased in value, the avoidance of selling currencies that have decreased in value, the agony of holding losing cryptocurrencies for too long rather than selling winning cryptocurrencies too soon, and the purchase of cryptocurrencies that have fallen significantly from their all-time high are the most important sub-criteria.

This survey only covered active cryptocurrency participants. Additionally, the study was limited to individual crypto investors in one country, India, with a sample size of 467 participants. Although the sample size is appropriate, a larger sample size might reflect the more realistic scenario of the Indian crypto market.

The study is relevant to individual and institutional cryptocurrency investors, crypto portfolio managers, policymakers, researchers, market regulators, and society at large.

To the best of the authors' knowledge, no prior research has attempted to explain how the overall importance of various criteria and sub-criteria related to behavioral factors that influence the decision-making process of crypto retail investors can be assessed and how the priority of focus can be established, particularly in the Indian context.

This paper aims to present an integrated view of the literature published on all aspects and facets of competence in supply chain management (SCM) and furthermore provides a framework for classifying and analyzing literature to facilitate further study, practice and research.

A systematic literature review identified 98 peer-reviewed scientific journal publications on the subject of competence in SCM.

This review identifies and classifies the key content of the subject based on whose competence (level of analysis) and the type of competence (competence element), resulting in a framework that brings together aspects at the individual and organizational level, and of the functional, relational, managerial and behavioral elements of competence from the SCM literature. It furthermore displays the timeliness and wide-ranging character of the subject, as presented by the evolutionary timeline and the main research streams.

Although competence in SCM is a key to business success, the subject is ambiguous and an explicit need exists for more research. This paper provides a foundation for future examination of and theory building in this subject. It also alerts researchers to complementary studies outside of their own “customary” domains.

This paper can support managers in their pursuit to secure competence in SCM and thereby improve outcomes on both individual and organizational level. It can furthermore assist in the development of relevant programs and training sessions.

To the best of authors’ knowledge, this work represents the first systematic literature review on the subject of competence in SCM. In addition, it proposes a taxonomy for mapping and evaluating research on this subject.

The purpose of this study is to discover the motivating factors for cryptocurrency investment during an economic crisis in the MENA region, with reference to the economic crisis of 2019–2022, in Lebanon.

The authors used t-test, and logistic regressions on a sample of 254 Lebanese investors to differentiate between cryptocurrency investors, and non-investors. Linear regressions of a subsample of cryptocurrency investors determined the factors that explained increasing cash investment in cryptocurrencies. Data were collected from investors in Lebanon, which could limit the generalization of the research results across the MENA region.

Investors differed from non-investors in that they were male, owned investments in the stock, bond and commodity markets, had prior investment experience in cryptocurrencies, were risk-takers and had expectations of high returns. Investors increased the dollar investment in cryptocurrencies, if they were male, as they invested more funds in securities, had previously invested in cryptocurrencies and had stronger risk-taking propensity. Expectations of high returns drove investors to cryptocurrencies, but such expectations do not stimulate further cryptocurrency investment.

This study is an initial attempt to comprehend the reactions of investors in the MENA region to a currency crisis that triggered investment in cryptocurrencies following the collapse of fiat currencies, central bank default and restrictions on bank withdrawals.

The purpose of this literature review paper is to define consumer finance, describe the scope of consumer finance and discuss its future research directions.

In this paper, consumer finance is used as a synonym of household finance. Consumers refer to individuals and families. After defining the term “consumer finance,” we conducted a critical review of consumer finance as an interdisciplinary research field in terms of money managing, insuring, borrowing and saving/investing. Future research directions are also discussed.

This paper discusses similarities and differences among several terms such as consumer finance, household finance, personal finance, family finance and behavioral finance. The paper also reviewed key studies on consumer financial behavior around four key financial functions, namely, money management, insurance, loan and saving/investment and several nontraditional topics such as fintech and financial capability/literacy. The paper also introduced several datasets of consumer finance commonly used in the United States and China.

This paper clarified several similar terms related to consumer finance and sorted out the diverse literature of consumer finance in multiple disciplines such as economics, finance and consumer science, which provide a foundation for generating more fruitful research in consumer finance in the future.

This study analyzes financial preparation for retirement of American men and women, using the 2013 Survey of Consumer Finances (SCF). The purpose of this paper is to research the adequacy of retirement preparation for men and women in their positive savings periods.

This research uses probit analysis and multiple regression models to observe the statistical significance of several independent variables on retirement savings. The specific variables of analysis are socio-demographic, work related, financial assets, and attitudes about saving and investing for a sub-sample of individuals aged 35–45, 46–59, and 60–67.

For retirement preparation, income is a significant factor for both men and women aged 35–45. Excellent health is significant for both men and women aged 46–59, whereas the number of weeks worked per year was significant for men and women aged 60–67. In addition, health has significant positive effects on the amount of financial wealth invested in stocks while age has significant negative effects.

This research uses data from the 2013 SCF to analyze factors affecting retirement preparation for men and women in their positive savings periods. The findings from this study can aid policy makers in designing retirement saving programs that can effectively incentivize individuals for adequately prepare for retirement.

Previous studies have focused on the effect of factors such as age, health, marital status, work history, education, income, family/household composition, and occupation on retirement savings over an individual’s lifetime. This study focuses specifically on retirement preparation or adequacy for men and women who are in their positive savings periods.

This paper aims to identify ethical challenges of using artificial intelligence (AI)-based accounting systems for decision-making and discusses its findings based on Rest's four-component model of antecedents for ethical decision-making. This study derives implications for accounting and auditing scholars and practitioners.

This research is rooted in the hermeneutics tradition of interpretative accounting research, in which the reader and the texts engage in a form of dialogue. To substantiate this dialogue, the authors conduct a theoretically informed, narrative (semi-systematic) literature review spanning the years 2015–2020. This review's narrative is driven by the depicted contexts and the accounting/auditing practices found in selected articles are used as sample instead of the research or methods.

In the thematic coding of the selected papers the authors identify five major ethical challenges of AI-based decision-making in accounting: objectivity, privacy, transparency, accountability and trustworthiness. Using Rest's component model of antecedents for ethical decision-making as a stable framework for our structure, the authors critically discuss the challenges and their relevance for a future human–machine collaboration within varying agency between humans and AI.

This paper contributes to the literature on accounting as a subjectivising as well as mediating practice in a socio-material context. It does so by providing a solid base of arguments that AI alone, despite its enabling and mediating role in accounting, cannot make ethical accounting decisions because it lacks the necessary preconditions in terms of Rest's model of antecedents. What is more, as AI is bound to pre-set goals and subjected to human made conditions despite its autonomous learning and adaptive practices, it lacks true agency. As a consequence, accountability needs to be shared between humans and AI. The authors suggest that related governance as well as internal and external auditing processes need to be adapted in terms of skills and awareness to ensure an ethical AI-based decision-making.