Anti-money laundering and financial fraud detection: A systematic literature review

Money laundering has affected the global economy for many years, and there are several methods of solving it presented in the literature. However, when tackling money laundering and financial fraud together there are few methods for solving them. Thus, this study aims to identify methods for anti-money laundering (AML) and financial fraud detection (FFD). A systematic literature review was performed for analysis and research of the methods used, utilizing the SCOPUS and Web of Science databases. Of the 48 articles that aligned with the research theme, 20 used quantitative methods for AML and FFD solution, 13 were literature reviews, 7 used qualitative methods, and 8 used mixed methods. This study contributes by presenting a systematic literature review that fills two research gaps: lack of studies on AML and FFD, and the methods used to solve them. This will assist researchers in identifying gaps and related research.     

Green technology co-patenting networks: international dynamics

The present study examined how the multi-country green technology co-patenting network structure evolved from 1997 to 2016. For that purpose, we used Social Network Analysis tools, which allowed us to assess the network structure from a visual and quantitative perspective. The results indicate that the network expanded as the number of participating countries and ties increased. In all periods, the network grew significantly centralized around a small group of countries, in which the U.S., Great Britain, Germany, France, and Canada had paramount weight. Emerging countries like India and China also stood out due to their growth over time, as they eventually managed to gain central positions in the network. Other developing countries remained marginal, such as Brazil.

     

Empowering health care consumers in the era of Internet of Things

The Internet of Things (IoT) is emerging as a significant development in information technology that aims to link the digital world with the real world to improve human life. IoT refers to digital tools collecting data and providing hyper-personalized information to its users. With the rapid integration of the IoT in the healthcare sector (HIoT), it has been presumed that HIoT devices have an empowering effect on patients; however, this has yet to be investigated. Furthermore, the literature reveals a lack of consistency regarding the definition of patient empowerment. This study aims to fill these gaps and investigates whether HIoT systems increase user empowerment for individuals suffering from chronic illnesses. It also examines how empowerment is defined for HIoT users. To answer these two research questions, we conducted a qualitative research study consisting of 20 semi-structured, in-depth interviews carried out with individuals suffering from Type 1 diabetes (T1D). The interviews were transcribed and content analysis was conducted on the data. The study enabled us to examine whether and how the HIoT triggered empowerment for patients suffering from T1D. Findings reveal four main dimensions of empowerment for HIoT users: (1) self-efficacy, (2) patient control, (3) knowledge development and (4) participation in the decision-making process along with the doctor. Results also highlight that participants feel empowered by personal acceptance of living with their health condition and social support. In addition, the analysis led to the identification of the barriers which need to be overcome to ensure that HloT systems improve patient empowerment.     

Extending the diversity conversation: Fashion consumption experiences of underrepresented and underserved women

This research brings in the voice of underserved and underrepresented women of various racial or ethnic origins and social classes, who have differing buying powers, sexual orientations, body shapes, and physical appearances, into the conversation of fashion diversity. Through a qualitative inquiry with 38 semi-structured in-depth interviews, the researchers analyzed the consumption experiences of diverse women to expose what the fashion scene is lacking. The study's main contribution is the depiction of overlooked diversity categories in fashion, such as the non-White and non-Black women of color, women of average sizes, and women with characteristics that the fashion industry has long seen as flaws. For women's physical and psychological well-being, the authors of this study hope to lead fashion producers and researchers into a new era of diversity and minimize certain consumer groups' exclusion through discrimination, isolation, and segregation.     

Credit Crunch and Downward Nominal Wage Rigidities

Through the lens of a DSGE model, I find that financial shocks in conjunction with downward nominal wage rigidities (DNWR) are important features in explaining the degree of asymmetry that U.S. business cycles exhibit. Financial shocks are constructed as residuals of the borrowing constraint faced by firms in a similar fashion to Jermann and Quadrini (2012). The effects of these shocks on aggregate quantity variables are amplified by DNWR, especially during the global financial crisis. Moreover, my model explains a large part of the upward shift in the labor wedge that occurred during this recession.     

Credit risk pricing in a consumption-based equilibrium framework with incomplete accounting information

We present a consumption-based equilibrium framework for credit risk pricing based on the Epstein–Zin (EZ) preferences where the default time is modeled as the first hitting time of a default boundary and bond investors have imperfect/partial information about the firm value. The imperfect information is generated by the underlying observed state variables and a noisy observation process of the firm value. In addition, the consumption, the volatility, and the firm value process are modeled to follow affine diffusion processes. Using the EZ equilibrium solution as the pricing kernel, we provide an equivalent pricing measure to compute the prices of financial derivatives as discounted values of the future payoffs given the incomplete information. The price of a zero-coupon bond is represented in terms of the solutions of a stochastic partial differential equation (SPDE) and a deterministic PDE; the self-contained proofs are provided for both this representation and the well-posedness of the involved SPDE. Furthermore, this SPDE is numerically solved, which yields some insights into the relationship between the structure of the yield spreads and the model parameters.     

The ethical implications of collecting data in educational settings: discussion on the technology and engineering attitude scale (TEAS) and its psychometric validation for assessing a pre-engineering design program

International Journal of Technology and Design Education - K-12 Engineering Education has placed a lot of attention on students’ attitudes or predispositions towards science and technology....     

Open-access renewable resources and pollution: Trade and policy implications in a two-country model

We examine the interaction between the relative inter-industry pollution externality and resource stock externality of harvesting in deciding trade patterns and welfare gains from trade in a two-country model (less-developed countries) with renewable resources in the absence of resource management. This paper focuses on the impacts of trade policies on resource conservation and welfare outcomes in two countries with different environmental management regimes. Differences in pollution management standards between both countries determine the direction of trade flow and gains from trade in a diversified production case. The country with a lower pollution intensity parameter, an exporter of resource goods, certainly experiences welfare loss in the post-trade steady-state and may also suffer a decline in utility throughout the transition path. However, a country with higher pollution intensity and importers of resource goods tend to gain from trade. Under national open-access resources, given that pollution is regulated up to a certain point in both countries, this study finds that implementing better restrictions on only one externality factor is not optimal from a post-trade welfare perspective. Lastly, from the point of view of policy suggestion, this paper offers an optimal trade policy that the economic and environmental effects of enforcing import tax on resource goods are likely to be Pareto-improving consequences compared to the implications of using an export tax.     

Profitability and size of newly established firms

International Entrepreneurship and Management Journal - Does size matter for new firms and do they need to be large to be profitable? From small to large firms, a wide range of arguments have...     

Ad avoidance in the digital context: A systematic literature review and research agenda

The recent growth in digital marketing investments and revenues has attracted the attention of both marketing practitioners and scholars. However, this growth has dramatically increased users' exposure to ad messages, encouraging consumers to avoid them. Therefore, ad avoidance has become a major problem for marketing practitioners. Although researchers have become much more interested in this subject over the past two decades, the body of knowledge on ad avoidance in the digital environment remains fragmented due to the lack of a comprehensive review. Therefore, a holistic overview study is needed that focuses on the big picture and can help researchers to understand the literature comprehensively. This study aims to provide a comprehensive understanding of the topic using a systematic literature review approach on digital ad avoidance. To this end, we provide an in-depth content analysis of 56 relevant articles published in 31 peer-reviewed scientific journals up to December 31, 2021. Based on a theories, contexts, characteristics, and methods (TCCM) framework, the study results shed light on ‘what do we know, how do we know, and where should research about digital ad avoidance research be heading?’ Additionally, drawing on the content analysis, we have presented an integrative framework that considers antecedents, outcomes, mediators, and moderators, which can help develop the field systematically and guide future research. By doing so, we think this review meets the need to give an overview of the state-of-the-art scientific body of knowledge on digital ad avoidance and makes important and solid contributions to the literature, practical implications, and future research directions based on the findings.