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The purpose of this paper is to focus on managing the risk of fraud in commercial letters of credit (LC) in Bangladesh involving three parties: the seller, the buyer and the bank. It addresses the severity of LC fraud, the banks’ actions when detected and the preventive measures the relevant parties can adopt.

This research uses doctrinal and qualitative methods to propose strategic actions that benefit buyers, sellers, banks, legal professionals and judges. The study aims to explore the modus operandi used by fraudsters through thematic analysis.

The study’s findings reveal that LC fraud has escalated to a concerning level, posing a significant threat to the economic stability of Bangladesh. Measures must be taken to mitigate this risk and safeguard the country’s financial integrity. To effectively combat the risk of LC fraud, the updated version of UCP must include specific and detailed guidelines on LC fraud. This study recommends preventative measures that all parties involved must take to reduce the likelihood of fraud significantly.

Due to a lack of LC experts, the participant sample for the study in Bangladesh was limited. Nevertheless, most banking participants were highly distinguished and held the Head of Trade Finance Department position in commercial banks. A few academics and legal practitioners with LC expertise also participated in the study.

It provides cutting-edge solutions to effectively handle LC fraud risk and provides proactive measures to prevent it.

This study aims to explore how key stakeholders and recipients of local food access programs operate strategically to meet individual and community food needs, enhance experiences of dignity and promote social justice. The study of a fragmented community food system highlights the connections between micro and meso dimensions of food access, illustrating how people work around food system limitations to access food.

Using qualitative in-depth interviews with food assistance managers, workers, volunteers and recipients, this study examines the period before the implementation of a centralized community-based food access initiative in a mid-sized, rural Oklahoma college town with a high rate of food insecurity. This study asks: What are community members’ experiences in a fragmented food assistance system? In what ways do individuals use everyday resistance and workarounds to actively promote experiences of dignity and social justice in food access spaces?

Those involved in sites of community food access build important networks to share information and engage in negotiation and trade to gain access to useful food resources. As forms of everyday resistance, such practices encourage co-construction of dignity and social justice in stigmatized spaces.

This research contributes to literature examining micro- and meso-level community dynamics that inform agency, dignity and social justice in community food access approaches.

This study aims to examine the impact of agency cost, Islamic board characteristics and corporate governance on the performance of Islamic institutions.

Based on the selected criteria, 92 Islamic banks (IBs) from 20 countries were selected for further research. The authors used generalized method moments (GMM) estimation method. The agency cost and Shariah board characteristics are the explanatory variables. The author uses the age of the bank and the size of the bank for variable control.

Empirical results indicate that first, agency costs represented by cast/total assets negatively affect IBs’ return on equity and net income. As agency costs rise, IBs’ financial performance declines. Second, Shariah supervisory board (SSB) size and board independence affect IB performance. The study found that SSB size positively affects IB performance.

This research contributes to the literature on IBs in different countries, which policymakers and practitioners can use to improve agency cost functions and Shariah board characteristics. Second, this analysis shows that IBs require specific attention for agency charges, given their operations and business structures. This study contributes to agency theory, which requires Islamic banking information and practices. Finally, the author has aided regulators and IBs by identifying the sources of agency cost practices that can be resolved. The other bank governance contribution is twofold. First, the author studied dual board governance in IBs (SSB and ordinary boards of directors). Second, the author examines how SSB and traditional board governance affect IB performance. This research focuses on banks listed on stock exchanges in the 20 countries analysed.

The research has policy and practical implications for central banks and IBs. By outlining appropriate regulatory guidelines and reporting systems, regulatory authorities can ensure Sharia compliance and protect the independence of IB Shariah department officers. Regulators and relevant stakeholders must ensure Sharia compliance, audits, inspections, reporting and accurate disclosure for IBs.

This paper offers original contributions to professionals in the field of IBs and stakeholders investigating the relationship between agency costs, governance of IBs, characteristics of Islamic supervisory boards and the performance of IBs.

The study examines the relationship between news intensity, media sentiment and market microstructure invariance-implied measures of trading activity and liquidity of Chinese property developer stocks during the 2020–2022 Chinese property sector crisis.

The authors adopt the extension of the news article invariance hypothesis, which is a generalization of the market microstructure invariance conjecture, from January 2020 to January 2022 to test specific quantitative relationships between the arrival rate of public information, trading activity and a nonlinear function of a proxy for the probability of informed trading. Empirical tests are based on a dataset of 22,412 firm-day observations and two count-data models to correct for overdispersion and the excess number of zeros. Seventy-five stocks of Chinese companies from the property development industry (including the China Evergrande Group) were included in the sample.

The authors reject the news article invariance hypothesis but document a positive and significant relationship between the flow of public information and risk liquidity. Additionally, the authors find that the proxy for informed trading activity is positively related to the arrival rates of public information from October 2021 to January 2022.

The findings support the hypothesis that negative (positive) media sentiment induces significant deterioration (insignificant improvement) in stock liquidity. The authors find that an increase in the number of news articles about a company corresponds to a higher liquidity of Chinese property developers' stocks after controlling for media sentiment.

This study aims to investigate the extent to which the Indonesian conditional cash transfer (CCT), known as the Family Hope Program (FHP), impacts the probability of children engaging in labour activities.

This study utilizes data from the Indonesian Family Life Survey in 2014, focussing on periods following the implementation of the FHP. To estimate the impact of FHP on child labour in Indonesia, the authors employ a propensity score matching strategy to balance the characteristics observed between the participant and non-participant groups.

The estimates show that FHP has no statistical impact on child labour across all matching techniques. This implies that receiving the CCT does not always help poor households decrease the probability of stopping their children from participating in labour activities.

The conditions applied to the beneficiaries, which only require children to attend school without requiring them to stop working, may not effectively address the issue of child labour. The current structure and design of the FHP need to be re-evaluated and improved to effectively combat child labour.

Despite numerous studies examining the impact of CCT on child labour which remains inconclusive in Indonesia, this study contributes to the existing literature by considering children participating in labour activities across all types of work without focussing on specific education levels or regions.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-07-2023-0580

The current study aims to examine if the internal marketing and employees’ personal traits can predict their green innovative behavior at the workplace.

A survey was conducted with 683 frontline employees working in four- and five-star hotels in Serbia. Zero-order bivariate correlations among variables and linear multiple regression were conducted to predict green innovative behavior based on internal marketing, personality traits and psychological capital. Binary genetic algorithms were used to segregate the subset of predictors that would be most suitable to describe variance in the outcome.

The results showed that internal communication, incentive and reward systems, work support, work environment, openness and creative self-efficacy were the most important predictors of almost all the phases of green innovative behavior.

The research showed that a multidimensional approach in analyzing green innovative behavior is necessary as some factors can be significant or not so significant predictors. Acknowledging that innovation is a multistage process, entailing distinct activities and requiring varied individual behaviors to accomplish each task, amplifies the importance of this inquiry. Employees’ personal characteristics have direct impact on green innovative behavior in hospitality. Further, the results gave an insight into the possible mix of elements of internal marketing that can be used for boosting employees’ green innovative behavior in hospitality. This is important as implementing effective internal marketing practices empowers organizations to motivate employees to invest discretionary efforts.

本研究旨在探讨内部营销和员工个人特质是否能预测他们在工作场所的绿色创新行为。

在塞尔维亚的四星和五星级酒店中, 对683名一线员工进行了调查。在变量之间进行了零阶双变量相关性和线性多元回归, 以预测基于内部营销、个性特质和心理资本的绿色创新行为。使用二元遗传算法(GAs)将适用于描述结果变异性的预测子集进行分离。

结果显示, 内部沟通、激励和奖励制度、工作支持、工作环境、开放性和创造力自效能是几乎所有绿色创新行为阶段的最重要的预测因素。

研究表明, 分析绿色创新行为需要采用多维度的方法, 因为某些因素可能是更或更少决定性的预测因素。承认创新是一个多阶段的过程, 涉及到不同的活动, 并要求采用不同的个体行为来完成每个任务, 这加强了对这一调查的重要性。员工的个人特征直接影响了酒店业的绿色创新行为。此外, 结果揭示了可以用于促进酒店业员工绿色创新行为的内部营销元素可能的混合。这是重要的, 因为实施有效的内部营销实践使组织能够激励员工投入可自由支配的努力。

El presente estudio examina si el marketing interno y los rasgos de personalidad de los empleados pueden predecir su comportamiento innovador ecológico en el lugar de trabajo.

Se realizó una encuesta a 683 empleados de primera línea que trabajan en hoteles de cuatro y cinco estrellas en Serbia. Se llevaron a cabo correlaciones bivariadas de orden cero y regresiones lineales múltiples (LM) para predecir el comportamiento innovador ecológico en función del marketing interno, los rasgos de personalidad y el capital psicológico. Se utilizaron algoritmos genéticos binarios (AGs) para segregar el subconjunto de predictores más adecuado para describir la variabilidad en el resultado.

Los resultados mostraron que la comunicación interna, los sistemas de incentivos y recompensas, el apoyo en el trabajo, el entorno laboral, la apertura y la autoeficacia creativa eran los predictores más importantes en casi todas las fases del comportamiento innovador ecológico.

La investigación demostró que es necesario un enfoque multidimensional para analizar el comportamiento innovador ecológico, ya que algunos factores pueden o no ser predictores significativos. Reconocer que la innovación es un proceso de múltiples etapas, que implica actividades distintas y requiere comportamientos individuales variados para realizar cada tarea, amplifica la importancia de esta investigación. Las características personales de los empleados influyen directamente en el comportamiento innovador ecológico en la industria hotelera. Además, los resultados ofrecen una visión de la posible combinación de elementos de marketing interno que se pueden utilizar para impulsar el comportamiento innovador ecológico de los empleados en la hotelería. Esto es importante ya que la implementación de prácticas eficaces de marketing interno permite a las organizaciones motivar a los empleados para que inviertan esfuerzos discrecionales.

The primary objective of this research is to provide a precise interpretation of the constructed machine learning model and produce definitive summaries that can evaluate the influence of investor sentiment on the overall sales of non-fungible token (NFT) assets. To achieve this objective, the NFT hype index was constructed as well as several approaches of XAI were employed to interpret Black Box models and assess the magnitude and direction of the impact of the features used.

The research paper involved the construction of a sentiment index termed the NFT hype index, which aims to measure the influence of market actors within the NFT industry. This index was created by analyzing written content posted by 62 high-profile individuals and opinion leaders on the social media platform Twitter. The authors collected posts from the Twitter accounts that were afterward classified by tonality with a help of natural language processing model VADER. Then the machine learning methods and XAI approaches (feature importance, permutation importance and SHAP) were applied to explain the obtained results.

The built index was subjected to rigorous analysis using the gradient boosting regressor model and explainable AI techniques, which confirmed its significant explanatory power. Remarkably, the NFT hype index exhibited a higher degree of predictive accuracy compared to the well-known sentiment indices.

The NFT hype index, constructed from Twitter textual data, functions as an innovative, sentiment-based indicator for investment decision-making in the NFT market. It offers investors unique insights into the market sentiment that can be used alongside conventional financial analysis techniques to enhance risk management, portfolio optimization and overall investment outcomes within the rapidly evolving NFT ecosystem. Thus, the index plays a crucial role in facilitating well-informed, data-driven investment decisions and ensuring a competitive edge in the digital assets market.

The authors developed a novel index of investor interest for NFT assets (NFT hype index) based on text messages posted by market influencers and compared it to conventional sentiment indices in terms of their explanatory power. With the application of explainable AI, it was shown that sentiment indices may perform as significant predictors for NFT sales and that the NFT hype index works best among all sentiment indices considered.

This study aims to develop a database of existing academic information in house purchase decision (HPD) using systematic literature review (SLR), to facilitate worldwide advancement of research under HPD domain.

This research examined papers from two reputable databases – Scopus and Google Scholar – from 1992 to 2022 using a scoping review technique (Arksey and O’Malley, 2005) and a theme analysis method. Out of 374, 181 articles fit the inclusion parameters and were evaluated using the theme analysis approach.

Data from 181 articles was evaluated thematically to create a thematic map of HPD research. Five main themes and their sub-themes were identified: consumer behaviour, housing attributes, factors influencing purchasing decisions, investment analysis and demographics, which proved essential in understanding HPD and customer preferences for house purchase.

Data from 181 articles were evaluated thematically to create a thematic map of HPD research. This SLR intends to provide useful new insights on consumer concerns about home purchases in the rapidly developing residential real estate market and the issues that marketers, housing sector stakeholders, real estate industry and existing and future researchers should prioritize.

This research is unique such that it is the only 30-year-long SLR on the subject matter of HPD. This paper makes a significant contribution to residential real estate domain signifying the present state of research in HPD.

The purpose of this paper is to revisit the potential of the New Deal as a research context in management and organization studies and, in doing so, forward the role one of its chief architects, Harry Hopkins, played in managing the economic crisis. The exploration takes us to multiple layers that work together to form context around Hopkins including the Great Depression, the Roosevelt Administration, and ultimately, the New Deal. By raising Harry Hopkins as an exemplar of historical-narrative exclusion, the authors can advance the understanding of his role in the New Deal and how his actions produced early insights about management (e.g. modern crisis management).

The paper experiments with the methodological assemblage of ANTi-History and microhistorical analysis that the authors call “ANTi-Microhistory” to examine the life narrative of Harry Hopkins, his early association with President Franklin D. Roosevelt and later, the New Deal. To accomplish this, the authors undertake a programme of archival research (e.g. the digital repository of The Franklin D. Roosevelt Presidential Library and Museum) and assess various materials (e.g. speeches, biographies and memoirs) from across multiple spaces.

The findings suggest Harry Hopkins to be a much more powerful actor in mobilizing New Deal policies and their effect on early management thought than what was previously accepted. In the process, the authors found that because of durable associations with Roosevelt, key policy architects of the same ilk as Harry Hopkins (e.g. Frances Perkins, Henry Wallace, Lewis Douglas, and others) and their contributions have been marginalized. This finding illustrates the significant potential of little-known historical figures and how they might shed new insight on the development of the field and management practice.

The aim is to demonstrate the potential of engaging historical research in management with the individual – Harry Hopkins – as a unit of analysis. By engaging historical research on the individual – be it well-known or obscure figures of the past – the authors are considering how they contribute to the understanding of phenomena (e.g. New Deal, Progressivism or Keynesian economics). The authors build on research that brings to focus forgotten people, communities and ideas in management studies but go further in advocating for space in the research to consider the scholarly potential of the individual.

This study aims to explore gender performance in entrepreneurial pitching. Understanding pitching as a social practice, the authors argue that pitch content and body gestures contain gender-based norms and practices. The authors focus on early-stage ventures and the hegemonic masculinities and femininities that are performed in entrepreneurial pitches. The main research question is as follows: How is gender performed in entrepreneurial pitching?

The authors carried out the study with the post-structuralist feminist approach. The authors collected and analyzed nine online pitches with the reflexive thematic method to depict hegemonic masculinities and femininities performed at the pitch.

The authors found that heroic and breadwinner masculinities are dominant in pitching. Both male and female founders perform hegemonic masculinities. Entrepreneurs are expected to be assertive but empathetic people. Finally, there are connections between what entrepreneurs do and what investors ask, indicating the iteration of gender performance and expectations.

While the online setting helps the authors to collect data during the pandemic, it limits the observation of the place, space and interactions between the judges/investors and the entrepreneurs. As a result, the linguistic and gesture communication of the investors in the pitch was not discussed in full-length in this paper. Also, as the authors observed, people would come to the pitch knowing what they should perform and how they should interact. Therefore, the preparation of the pitch as a study context could provide rich details on how gender norms and stereotypes influence people's interactions and their entrepreneurial identity. Lastly, the study has a methodological limitation. The authors did not include aspects of space in the analysis. It is mainly due to the variety of settings that the pitching sessions that the data set had.

For social practices and policies, the results indicate barriers to finance for women entrepreneurs. Women entrepreneurs are rewarded when they perform entrepreneurial hegemonic masculinities with a touch of emphasized femininities. Eventually, if women entrepreneurs do not perform correctly as investors expect them to, they will face barriers to acquiring finance. It is important to acknowledge how certain gendered biases might be (re)constructed and (re)produced through entrepreneurial activities, in which pitching is one of them.

Practitioners could utilize research findings to understand how gender stereotypes exist not only on the pitch stage but also before and after the pitch, such as the choice of business idea and pitch training. In other words, it is necessary to create a more enabling environment for women entrepreneurs, such as customizing the accelerator program so that all business ideas receive relevant support from experts. On a macro level, the study has shown that seemingly gender-equal societies do not practically translate into higher participation of women in entrepreneurship.

For theoretical contributions, the study enhances the discussion that entrepreneurship is gendered; women and men entrepreneurs need to perform certain hegemonic traits to be legitimated as founders. The authors also address various pitching practices that shape pitch performance by including both textual and semiotic data in the study. This study provides social implications on the awareness of gendered norms and the design of entrepreneurial pitching.