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Tacit and explicit knowledge sharing play crucial roles in today’s rapidly changing business environment, particularly in fostering innovation. However, uncovering tacit knowledge sharing remains complex. The purpose of this study is to analyze the mediating roles of tacit and explicit knowledge in the relationship between a knowledge-sharing culture and organizational creativity.

In this study, the authors developed an extended analytical process to analyze the impact of explicit and tacit knowledge on a knowledge-sharing culture and organizational creativity. This process combines two analytical techniques: necessary condition analysis (NCA) and partial least squares structural equation modeling (PLS-SEM). NCA identifies essential bottlenecks for a specific outcome, while PLS-SEM uncovers strong connections between predictor and outcome variables. The authors applied these analyses to a sample of 155 IT experts from a leading telecom company in the Turkish ICT industry to test the relevant hypotheses.

The findings of this study indicate that tacit knowledge, rather than explicit knowledge, partially mediates the relationship between a knowledge-sharing culture and organizational creativity. This mediating role of tacit knowledge is particularly pronounced in the ICT sector. Additionally, the impact of organizational capabilities on organizational creativity is amplified by higher levels of tacit knowledge sharing.

The effect of organizational capabilities on organizational creativity was found to increase because of tacit knowledge sharing compared to explicit knowledge sharing, depending on the knowledge-sharing climate.

The purpose of this paper is to investigate the vulnerability of smallholder farmers to climate change in northwest Ethiopia.

To achieve this aim, data was collected from a survey of 352 households, which were stratified into three groups: Lay Gayint (138 or 39%), Tach Gayint (117 or 33%) and Simada district (97 or 28%). To gain a deeper understanding of the vulnerability of these households, two approaches were used: the livelihood vulnerability index (LVI), consisting of 32 indicators, and the socioeconomic vulnerability index (SeVI), containing 31 indicators. Furthermore, qualitative data was obtained through focus group discussions conducted in six randomly chosen groups from the three districts, which were used to supplement the findings.

Both methods indicate that Simada is the most vulnerable district, followed by Tach Gayint and Lay Gayint. According to the SeVI approach, Simada district showed the highest level of sensitivity and exposure to climate-related hazards, as well as the lowest score for adaptive capacity. However, using the LVI approach, Simada district was found to have the highest sensitivity to climate effects and exposure to climate-related hazards, along with a higher adaptive capacity than both Lay Gayint and Tach Gayint districts.

Although there are numerous studies available on the vulnerability of farmers to climate change, this particular study stands out by using and contrasting two approaches – the LVI and the SeVI – to assess the vulnerability of households in the study area. Previous research has indicated that no single approach is sufficient to evaluate climate change vulnerability, as each approach has its own strengths and limitations. The findings of this study have significant implications for policymakers and development practitioners, as they can use the results to identify the households that are most vulnerable to climate change. This will enable them to design adaptation options that are tailored to the specific needs of each community and that will effectively address the risks of current and future climate change.

Develop a conceptual model for the training of Chilean engineers in the construction field that considers the facultative symbiosis between sustainable construction (SC) and nature-based solutions (NBS).

This study aims to develop conceptual model for the training of Chilean engineers in the construction field that considers the facultative symbiosis between sustainable construction (SC) and nature-based solutions (NBS). Bibliographic data linked to the complete collection of 7,163 articles published between 2011 and 2022 were extracted from Web of Science and Scopus for BA utilizing VOSviewer software.

A conceptual model for the education of engineers in SC and NBS was developed, based on Bloom’s taxonomy, initial knowledge and cross-cutting skills. This model includes four thematic clusters: green project management, green building, sustainable materials and bioengineering. Its development began with competencies and activities defined in systematic literature review (SLR), which were validated by engineering program directors and rated in the survey as “extremely important,” “very important” or “important.”

This research provides its readers with an extensive understanding of the salient research themes, trends and patterns for engineering education in SC and NBS. Furthermore, this research contributes to the development of clear guidelines for the rapid updating of training programs.

We examine negative emotions’ influence on consumer satisfaction and loyalty when repurchasing a product or service after experiencing failures in the financial services sector.

The sample comprised 735 valid surveys of customers who encountered such service failures. An initial model incorporating 14 negative emotions was narrowed down to the most robust one, comprising three emotions, after data collection and statistical validation.

Consumer dissatisfaction is explained by affective (pleasure) rather than cognitive factors (disconfirmation) in the financial services context. Loyalty is influenced only by affective (pleasure and activation) rather than cognitive elements (disconfirmation) in the dissatisfaction generation process, indicating that loyalty is not a cognitive but an affective one. Finally, an affective judgment (activation) rather than a cognitive one (disconfirmation) explains consumer’s recommendation of a product or service despite encountering failures.

This is the first study to focus exclusively on negative emotions, revealing that the pleasure dimension is a significant antecedent of dissatisfaction. By demonstrating that emotional factors rather than cognitive assessments dominate both satisfaction and loyalty responses, this study offers a unique contribution to understanding consumer behavior after service failures in financial services, with practical implications for service recovery strategies.

Este estudio examina el impacto de las emociones negativas en la satisfacción y lealtad del consumidor al volver a adquirir un producto o servicio después de experimentar fallas en el sector de servicios financieros.

La muestra incluyó 735 encuestas válidas de clientes que enfrentaron dichas fallas en el servicio. Un modelo inicial que incorporaba 14 emociones negativas se redujo, tras la recolección de datos y la validación estadística, a un modelo más robusto que comprende tres emociones.

La insatisfacción del consumidor se explica por factores afectivos (agrado) en lugar de cognitivos (desconfirmación) en el contexto de servicios financieros. La lealtad está influenciada únicamente por elementos afectivos (agrado y activación) y no por elementos cognitivos (desconfirmación) en el proceso de generación de insatisfacción, lo que indica que la lealtad no es de naturaleza cognitiva, sino afectiva. Finalmente, un juicio afectivo (activación), más que uno cognitivo (desconfirmación), explica la recomendación de un producto o servicio por parte del consumidor, incluso tras haber enfrentado fallas.

Este es el primer estudio que se enfoca exclusivamente en las emociones negativas, revelando que la dimensión de agrado es un antecedente significativo de la insatisfacción. Al demostrar que los factores emocionales, más que las evaluaciones cognitivas, dominan tanto las respuestas de satisfacción como de lealtad, este estudio ofrece una contribución única para comprender el comportamiento del consumidor tras fallas en los servicios financieros, con implicaciones prácticas para las estrategias de recuperación del servicio.

This study aims to characterize and analyze the literature on economic and financial crimes (EFCs) in the context of emerging markets, as published in Scopus.

A bibliometric analysis was conducted on 33 articles sourced from Scopus, focusing on the intersection of keywords related to financial crime or economic crime with those related to emerging markets, emerging countries, emerging economies, developing markets, developing countries or developing economies. The data were systematically analyzed using Excel and Bibliometrix to identify trends, patterns and gaps in the literature.

Research in this area has seen significant growth, with the period from 2016 to 2023 accounting for 57.6% of total scientific productivity. This period also represents 68.1% of authors, 56.7% of journals, 73.6% of institutions and 45.7% of citations. Key research themes identified include: the practice of EFCs in developing countries; the impact of globalization on EFCs in these regions; and the intersection of artificial intelligence, sustainable development goals and EFCs. Furthermore, the authors suggest exploring under-researched crimes, such as kickbacks, extortion, embezzlement, bid rigging and insider trading.

This study primarily focuses on EFCs in emerging markets. Future research should examine developed markets to contrast findings and enrich the overall understanding of these phenomena.

Despite the critical nature of EFCs in emerging markets, there has been no comprehensive study that elucidates the significant aspects of the existing literature.

Entrepreneurship is not limited to managing and creating a business; other diverse domains have been explored by various scholars. The concept has been defined and explored in various aspects including cultural entrepreneurship (Gupta & Anandaram, 2022) ethnic, feminist, institutional, and various others. To obtain further insights into entrepreneurship, Krueger and Welpe (2014) sought to collaborate on the cognitive and emotional aspects and termed it neuro-entrepreneurship. Literature trends on neuro-entrepreneurship are generally confined to opportunity recognition, risk-taking measures, and decision patterns. It is too early to reach any conclusion as no empirical research has been undertaken on the topic yet. Neuroscience techniques such as fMRI and Magneto-encephalography (MEG) are trying to reveal the hidden phenomenon behind the decision-making process in entrepreneurs. The COVID-19 pandemic forced entrepreneurs to face a new reality: That is not only the crisis in physical resources but also caused a disrupted mental state. Entrepreneurs are seeking new ways to get back on track and potentially neuroscience will assist them. This chapter discusses the background literature on neuro-entrepreneurship and an overview of the rationales of neuro-entrepreneurship in organisational settings. It explains the cognitive and emotional dimensions of the brain controlling decision-making in entrepreneurs. This chapter establishes a connection between decision-making and creativity at the workplace with the help of neuroscience techniques of entrepreneurs and future directions towards achieving a creative entrepreneurial system by amalgamating neuroscience techniques and decision-making for improving entrepreneurial activities.

This study aims to unravel the effects of time pressure on work engagement within Chinese organizational settings, considering the moderating effect of inclusive leadership and the mediating role of coping strategies. It seeks to apply and extend theories such as the job demands-resources (JD-R) model, Lazarus’s stress and coping (LSC) framework and leader–member exchange (LMX) theory on stress and coping to understand these dynamics comprehensively.

The study collected responses from 211 Chinese professionals in the manufacturing sector through a structured questionnaire. Multiple regression analysis was used to test the hypotheses.

Results reveal that problem-focused coping strategies positively correlate with work engagement, whereas emotion-focused coping strategies do not show a significant association. Both emotion-focused and problem-focused coping strategies mediate the relationship between time pressure and work engagement. Additionally, inclusive leadership positively moderates the relationship between time pressure and both problem-focused and emotion-focused coping strategies.

Organizational leaders and HR practitioners of companies can devise interventions to enhance employee engagement by leveraging the findings of this study, which advances our understanding of the critical role of coping strategies and the influence of inclusive leadership, particularly under time pressure, which is prevalent in fast-paced work environments.

The research integrates the JD-R model, LMX theory and LSC framework to explore workplace dynamics in China, presenting new insights into coping mechanisms and leadership roles in high-pressure environments.

This study aims to investigate the varying color-difference thresholds for textiles under various illuminants.

To determine color-difference thresholds, 108 fabric samples with widely ranging colors were spectrophotometrically measured and visually assessed under four illumination conditions (correlated color temperatures of 2,856 K and 6,504 K; illuminances of 100 lx and 2,000 lx).

The mean spectrophotometric color-difference threshold (solely based on the textile’s physical color attributes in machine vision) was 4.22 ΔE*_ab; thus, a mechanically measured color difference between two textiles (regardless of illuminant) of less than 4.22 ΔE*_ab indicated individuals’ inability to differentiate between two textiles. The calculated color-difference thresholds, which reflected the color differences perceived by people considering textiles’ physical color attributes and the environmental factors in which they were observed, were higher than the spectrophotometric thresholds. This meant that under various illuminants, people had greater difficulty perceiving color differences than mechanically measured spectrophotometric thresholds. Particularly, larger discrepancies between the two threshold types occurred under reddish illuminants of 2,856 K than under bluish-white illuminants of 6,504 K. Furthermore, the extent to which people perceived color differences as distinct from actual differences under illumination was larger for greenish-blue textiles than for textiles of other hues.

The determined spectrophotometric and calculative color-difference thresholds for textiles can help fashion companies predict consumers’ perceptions of the colors of their textile products under various illuminants and, accordingly, appropriately plan colors of products and create standards for color quality control.

The purpose of this study is to explore the evolving landscape of money laundering (ML) research in emerging economies, identifying key trends, challenges, and future research directions.

The paper adopts bibliometric and systematic literature review approaches to distill the main trends, themes and knowledge gaps in the areas of ML research. This paper analyzed indicators of bibliometrics, keyword co-occurrence network and thematic clustering while identifying evolving patterns in researching ML by analyzing 102 articles indexed in both Scopus and Web of Science.

ML research has taken a quantum leap after 2018. It discusses thematic clusters on the challenges facing developing countries, corruption and its interaction with financial systems, illicit financial flows and the macroeconomic consequences of financial crimes. Globalization, political dynamics and informal financial systems pose other challenges. These findings emphasize adaptive, technology-driven frameworks oriented toward the sustainable development goals.

The research provides a cumulative overview of fragmented studies on ML in emerging economies, thereby bridging the gaps between academic research and policy-making. The paper contributes to the wider understanding of the socio-economic and environmental dimensions of financial crimes and positions ML within the global agenda of equitable development.