Search results

This paper aims to share how an Asian university enhanced students’ global competence through international business study missions (BSMs). More specifically, it focuses on how the design of these BSMs enabled “deep” learning beyond industry tourism and how 21st-century competencies such as “global competence” can be acquired through participation in short-term, faculty-led study missions.

Using the case study approach, it critically analyzes the learning goals and objectives, design decisions, implementation details and learning outcomes underlying three BSMs led by three instructors from the same university to the USA (New York), Germany (Berlin and Stuttgart) and South Korea (Seoul).

The study shows that students gained global competencies related to specific fields of study such as the creative industries, urban sustainability and entrepreneurship. It shows how design choices such as destination, range of organizations, length of individual visits, range of pedagogical techniques, intensity of preparation and quality of management contribute to students’ acquisition of global competencies.

This research presents a subset of case studies that may limit the generalization of the findings; the bias that results from an unrepresentative, opportunistic sample (selection bias); and lack of quantitative causality in a qualitative evaluation.

The course design described here provides practical information for designing study abroad “deep” learning goals, objectives and outcomes focusing on global competence.

The detailed case studies of three instructors from different disciplines to achieve the country’s education vision of globally competent students.

With globalization and knowledge‐based production, firms may cooperate on a global scale, outsource parts of their administrative or productive units and negate location altogether. The extremely low transaction costs of data, information and knowledge seem to invalidate the theory of agglomeration and the spatial clustering of firms, going back to the classical work by Alfred Weber and Alfred Marshall, who emphasized the microeconomic benefits of industrial collocation. This paper aims to argue against this view and show why the growth of knowledge societies will rather increase than decrease the relevance of location by creating knowledge clusters and knowledge hubs, due to sharing of tacit knowledge and research and development outputs. Designing epistemic landscapes of knowledge clusters and hubs is, therefore, proposed as a viable development policy.

Secondary data from cluster research as well as the authors' own survey data, mainly on Vietnam, Malaysia and Singapore, are used to show and measure clustering of knowledge‐producing organizations.

The paper shows that sharing of tacit knowledge is a crucial variable to explain why clustering of knowledge‐intensive industries takes place despite the development of information technology. The importance of knowledge management for development is highlighted.

Designing epistemic landscapes of knowledge clusters and hubs is, therefore, proposed as a viable development policy.

The paper argues against the mainstream of industrial clustering theory and proposes a KM‐based research strategy. The discussion of the difference between knowledge clusters and knowledge hubs enables the use of a new and consistent evaluation of a K4D (knowledge for development) strategy.

The purpose of this paper is to examine how to successfully blend an e‐learning module into a knowledge management (KM) course aimed at getting KM students interested in the respective subject matter (= KM) in a web‐based learning environment.

Based on data obtained from 138 undergraduate business management students at a university in Singapore, practical aspects of effectively implementing an e‐learning system with a focus on KM are analyzed and the importance determined of three conceptual variables in the context of successful blended learning approaches: online faculty to student interaction, social presence and personal e‐learning experiences.

The study shows some positive correlations between online faculty to student interaction, the degree of presence in a web‐based learning environment, as well as personal e‐learning experiences as potential drivers of students' desire to learn more about the subject matter KM.

There has been reliance on self‐reported data in both the strengths, weaknesses, opportunities and threats study and the student survey. The causal effects of students' perceptions on actual learning need to be explored in a future study with a larger sample size.

To increase students' acceptance of a web‐based KM course, instructors must ensure quality interaction between them and their students, strong social presence via intrinsically rewarding group interactions and enriching, personal e‐learning experiences on the basis of real‐life KM problems. Games, systematic performance monitoring and graded knowledge tests are critical, too.

This study highlights several good design features of an effective student interface vis‐à‐vis the development of an effective online learning environment from the perspective of KM student learners. Implications for e‐learning designers and instructors, as well as issues for further research, are outlined.

Reviews previous research on exchange rate forecasting, identifies some problems in building a predictive model and examines the profitability of using various technical rules (as used by traders) in the USD/DM and USD/BP foreign exchange markets. Takes 1989‐1996 data, divided into two sub‐periods with different macroeconomic features; and compares the results from the technical rules in detail and with a buy and hold strategy. Finds that no rules produced statistically significant profits for the whole period (although they did for the first sub‐period) and some evidence that buy and hold is superior, especially if risk is taken into account. Considers the implications of the findings and the underlying reasons for them.

This article describes financial professionals' perceptions of their clients' financial behaviors and the explanatory factors underlying these behaviors.

In this qualitative research, the authors seek to understand financial professionals' experiences in relation to how their clients manage their own finances. The authors conduct and analyze 26 semi-structured interviews with financial professionals from several industries within the financial sector in Canada.

The professionals in this study noted that despite their clients' financial knowledge, several other factors can explain these individuals' financial behaviors. They include psychological factors (such as financial bias, the need for instant gratification, and the lack of awareness regarding the long-term effects of certain types of financial behaviors), financial habits (such as lifestyle, financial planning and lack of discipline) and the financial system's flexibility with respect to debt financing and repayment. These perceptions are categorized according to whether they are related to debt financing or repayment, savings or investments.

By using a qualitative methodology that relies on the perceptions of financial professionals, this study aims to better understand the financial behaviors of individuals and households, and these behaviors' underlying factors. This study's findings could be useful to various stakeholders interested, in one way or another, in financial literacy, such as organizations aiming to strengthen and promote financial literacy, educators, researchers, regulatory bodies of financial institutions and financial advisers.

This comprehensive study aims to take a punctilious approach intended to present qualitative and quantitative knowledge on the emerging concept of noise trading and identify the emerging themes associated with noise trading.

This study combines bibliometric and content analysis to review 350 publications from top-ranked journals published from 1986 to 2020.

The bibliometric and content analysis identified three major themes: the impact of noise traders on the functioning of the stock market, traits of noise traders and different proxies used to measure the impact of noise trading.

This study undertakes research papers related to the field of finance, published in peer-reviewed journals and that too in the English language.

This study shall accommodate rational traders, portfolio consultants and other investors to gain deeper insights into the functioning of noise traders. This will further help them to formulate their trading/investment strategies accordingly.

The successful combination of the bibliometric and content analysis revealed major gaps in the literature and provided future research directions.

Over the past three decades, numerous conceptual and empirical studies have discussed momentum investment strategies’ presence, pervasiveness and persistence. However, science mapping in the field is inadequate. Hence, this study aims to comprehend and explore current dynamics, understand knowledge progression, elicit trends through thematic map analysis, synthesize knowledge structures and provide future research directions in this domain.

The study applies bibliometric analysis on 562 Scopus indexed articles from 1986 to 2021. Biblioshiny version 3.1.4, a Web-based application included in Bibiliometrix package developed in R-language (Aria and Cuccurullo, 2017), was used to examine: the most prominent articles, journals, authors, institutions and countries and to understand the thematic evolution and to elicit trends through the synthesis of knowledge structures including conceptual, intellectual and social structures of the field.

Motor themes, basic transverse, niche and emerging and declining themes were identified using (Callon, 1991) strategic thematic map. Besides, four major clusters based on a cocitation network of documents were identified: empirical evidence and drivers of momentum returns, theories explaining momentum returns and implications for asset pricing and market efficiency, avoiding momentum crashes and momentum in alternative asset classes, alternative explanations for momentum returns. The study infers that momentum research is becoming multidisciplinary given the dominance of behavioral theories and economic aspects in explaining the persistence of momentum profits and offers future research directions.

The study deploys bibliometric analysis, appropriate for deriving insights from the vast extant literature. However, a meta-analysis might offer deeper insights into specific dimensions of the research topic. Besides, the study’s findings are based on Scopus indexed articles analyzed using bibilioshiny; the database and software limitations might have affected the findings.

The study is a ready reckoner for scholars who intend to recognize the evolution of momentum investment strategies, current dynamics and future research direction. The study offers practitioners insights into efficiently designing and deploying momentum investment strategies and ways to avoid momentum crashes.

The study offers insights into the irrational behavior and systematic errors committed by market participants that helps regulators and policymakers to direct investors’ educational efforts to minimize systematic behavioral errors and related adverse financial consequences.

This comprehensive study on momentum investment strategies evaluates research trends and current dynamics draws a thematic map, knowledge progression in the field and offers future research directions.