bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessing the extent of exchange rate risk pricing in equity markets: emerging versus developed economies
Authors: Bonga-Bonga Lumengo , Mpoha Salifya 
Published: July 2024

PurposeThis paper contributes to the literature on exchange rate exposure by assessing the extent to which exchange rate risk is priced in both African emerging and developed equity markets. It examines whether this risk leads to a premium or discount in market returns. The study uses the United States and South Africa as representatives for developed and emerging economies, respectively.Design/methodology/approachThe paper employs two-factor and three-factor conditional CAPM approaches with a two-stage estimation process. In the first stage, time-varying risk exposures are derived using the ICAPM model estimated through rolling regression. In the second stage, the impact of these risk exposures, particularly exchange rate risk exposure, is assessed on stock market returns using Generalized Linear Model (GLM) regression.FindingsUnlike previous studies that suggest exchange rate risk is not necessarily priced in the equity market due to hedging, this paper finds that exchange rate risk is indeed priced in both African and developed equity markets, albeit to different extents. The African equity market demands a higher premium compared to the developed equity market.Practical implicationsThe findings of this paper have significant implications for policymakers, asset managers, and investors. They provide insights for making more informed decisions, implementing effective risk management strategies, and fostering a more stable and appealing investment environment.Originality/valueTo the best of our knowledge, this is the first study to evaluate the degree of exchange rate exposure in environments characterized by high currency volatility versus those with low volatility, all within the context of the conditional ICAPM model.
Decision-making frameworks in additive manufacturing management: mapping present landscape and establishing future research avenues
Authors: Ghuge Sagar , Akarte Milind , Raut Rakesh 
Published: July 2024

PurposeThe study aims to explore the available academic literature on the decision-making frameworks used in additive manufacturing management (AMM).Design/methodology/approachThis research formulates a systematic literature review to determine the research trend of the decision-making framework in AMM. Further, the theory, context, characteristics, and methodology (TCCM) framework is used to identify the research gaps and suggest future research directions.FindingsThe systematic literature review (SLR) delves into overarching research themes within decision-making frameworks in AMM. Additionally, it uncovers trends in article publication, geographical distribution, methodologies utilized, and industry applications. This review not only reveals research gaps but also proposes directions for future exploration.Originality/valueThe key novelty of this research lies in revealing the five most contributing themes of decision-making frameworks in AMM, with the highest contributing theme being AM process selection, followed by part selection for AM. This finding enables decision-makers to make informed decisions to address similar problems while exploring AM technology. Moreover, this research introduces an AM part fabrication roadmap inspired by the literature review. Lastly, the paper highlights key research gaps for future research.
Automatic monitoring the risk coupling of foundation pits: integrated point cloud, computer vision and Bayesian networks approach
Authors: Li Xuelai , Yang Xincong , Feng Kailun , Liu Changyong 
Published: July 2024

PurposeManual monitoring is a conventional method for monitoring and managing construction safety risks. However, construction sites involve risk coupling - a phenomenon in which multiple safety risk factors occur at the same time and amplify the probability of construction accidents. It is challenging to manually monitor safety risks that occur simultaneously at different times and locations, especially considering the limitations of risk manager’s expertise and human capacity.Design/methodology/approachTo address this challenge, an automatic approach that integrates point cloud, computer vision technologies, and Bayesian networks for simultaneous monitoring and evaluation of multiple on-site construction risks is proposed. This approach supports the identification of risk couplings and decision-making process through a system that combines real-time monitoring of multiple safety risks with expert knowledge. The proposed approach was applied to a foundation project, from laboratory experiments to a real-world case application.FindingsIn the laboratory experiment, the proposed approach effectively monitored and assessed the interdependent risks coupling in foundation pit construction. In the real-world case, the proposed approach shows good adaptability to the actual construction application.Originality/valueThe core contribution of this study lies in the combination of an automatic monitoring method with an expert knowledge system to quantitatively assess the impact of risk coupling. This approach offers a valuable tool for risk managers in foundation pit construction, promoting a proactive and informed risk coupling management strategy.
Balancing the performance benefits and health costs of leader high performance expectations: the role of servant leadership
Authors: Wang Zhen , Chen Huan 
Published: July 2024

PurposeLeader high performance expectation (LHPE) as a performance management practice is becoming more common in today’s business environment, with managers setting ambitious goals to motivate employees to excel at their jobs. This study aims to critically examine LHPE as a performance management practice within contemporary organizations, focusing on whether LHPE has opposing effects on employee performance and health, as well as how servant leadership can improve the benefits of LHPE while lowering its costs.Design/methodology/approachA path analysis of data from a three-wave survey of 416 full-time employees was used to test our hypotheses.FindingsLHPE has opposing effects on employees via two distinct pathways: motivational effects on employee performance via harmonious work passion and strain effects on employee health via work strain. In the face of LHPE, servant leadership can assist in achieving a mutual gain between employee performance and health.Originality/valueThis study contributes uniquely to the field of employee relations by offering a comprehensive analysis of LHPE’s dual effects. It moves beyond traditional views that focus on singular outcomes, providing a deeper understanding of how LHPE can both motivate and strain employees. Highlighting servant leadership’s role signifies a novel approach to managing LHPE’s complexities, presenting valuable insights for HR practitioners and organizational leaders. This research underlines the importance of balancing performance expectations with employee well-being, aligning with modern perspectives on positive employment relationships.
Unraveling the nexus: exploring the interplay of mass media, personality traits and social norms in fostering protective behavior against smog
Authors: Iftikhar Moneeba , Yousaf Muhammad , Raza Syed Hassan , Zaman Umer , Ogadimma Emenyeonu C. 
Published: July 2024

Purpose
The rise in industrialization, economic development and urbanization has altered the composition of atmospheric air. Air pollutants have significantly impacted Pakistan's urban areas, resulting in the lowest air quality index readings. To understand disinclined behavior such as using air purifiers and wearing masks, this study aims to explore the relationship between individual personality traits and mass media effects.

Design/methodology/approach
This study used a cross-sectional survey with a model based on previous theories. Data from 2,000 adults were self-administered and analyzed using partial least squares structural equation modeling (PLS-SEM).

Findings
PLS-SEM confirmed six hypotheses, revealing mass media's direct and mediating roles in promoting critical psychological perceptions for protective behavior. The empirical results indicate that neuroticism, agreeableness and openness traits reinforce adherence behavior by intensifying threat perception.

Practical implications
This paper highlights significant implications for media campaign planners and provides more precise and comprehensive theoretical guidance. In the context of environmental challenges like smog, the findings illustrate how an understanding of personality traits can improve the efficacy of public health interventions through adherence to behaviors like mask-wearing and air purifier use. Addressing individual psychological characteristics when creating mass media campaigns to encourage public adherence to health protection measures related to environmental hazards.

Originality/value
Despite health campaigns and awareness, public compliance with measures like mask-wearing and air purifier use remains minimal. This study explores untapped mass media effects based on individual personality traits to understand this behavior.
Suddenly 50: the aging workforce and its relationship with the company
Authors: Lima Aline Zanini , Amorim Wilson Aparecido Costa de 
Published: July 2024

Purpose
This paper aims to discuss the findings of a study to identify the characteristics of organizations that implement policies and practices to attract and retain older workers.

Design/methodology/approach
This exploratory and descriptive research adopts a quantitative approach. The data analyzed were gathered from the database compiled during the 2020 edition of the “FIA – Employee Experience” survey. Notably, it identified the top 100 companies prioritizing investment in human resources policies and practices, awarding the “Amazing Places to Work” prize to those demonstrating the highest indices.

Findings
The findings highlight the proactive stance of both national and multinational companies, typically falling within the medium to large size category, in implementing strategies to attract and retain an aging workforce. These companies predominantly employ individuals with high school education and undertake affirmative action, targeting at least four other minority groups alongside older workers.

Practical implications
The insights provided in this article regarding the strategies and initiatives implemented to attract and retain older workers can empower other interested companies to enhance their preparedness in addressing the demographic shift toward an aging Brazilian workforce.

Originality/value
The analysis of the findings contributes to advancing understanding of the relationship between organizations and older workers, an area that remains underexplored in Brazil and worldwide. Furthermore, it furnishes insights into the specific policies and practices adopted by these organizations, equipping interested companies with knowledge to address the challenge of adapting to Brazil’s aging workforce.
Exploring the role of psychological ownership toward organizational innovation in family businesses
Authors: Dey Chanchal , Fasbender Ulrike 
Published: July 2024

Purpose
The purpose of this study is to understand the link between psychological ownership and organizational innovation in family businesses. The research also explored the mediating effect of knowledge transfer alongside the moderating role of governance practices.

Design/methodology/approach
A total of 116 family businesses across India took part in the study. Data were collected with the help of a structured questionnaire supplied to the seniormost family member of each firm. The data were analyzed by using the moderated mediation model analysis in R.

Findings
The findings indicate that psychological ownership is a key driver of organizational innovation in family businesses. The transfer of knowledge mediates the relationship between psychological ownership and organizational innovation. Moreover, governance practices of the businesses moderate the association between psychological ownership and knowledge transfer, and its downstream consequences on organizational innovation.

Originality/value
While previous research has explored various aspects of nurturing innovation, the present study explores the effect of psychological ownership in the context of family businesses in India. This study also gives insights into how knowledge transfer and governance practices work together to influence innovation in these businesses.
Risk assessment for 3D printing in construction projects
Authors: Ahmed Salma , Romdhane Lotfi , El-Sayegh Sameh Monir , Manjikian Solair 
Published: July 2024

Purpose
The purpose of this study is to identify and assess new risks in construction projects that use 3D printing.

Design/methodology/approach
A mixed approach of both qualitative and quantitative methods was used. Literature review was conducted to extract 30 risks of 3D printing in construction. A survey was then developed to assess the probability and impact of these risks. In total, 37 respondents, who have experience and/or knowledge of 3D printing, completed the survey. The risk priority was calculated using a fuzzy logic approach. The main benefit of the proposed model is being able to use numerical and linguistic data in the risk assessment model.

Findings
The results show that the main risks, in terms of priority, are lack of codes and regulations for 3D printing in construction, delay in government approvals, shortage in labour skilled in 3D printed construction, lack of knowledge and information of 3D printed design concepts and changes in 3D construction codes and regulations.

Originality/value
This paper fills an identified gap in the literature related to 3D printing in construction and provides insights into the key risks affecting this disruptive technology.
Tourism live streamers as brand ambassadors: investigating their impact on destination brand value through social exchange theory
Authors: Xiao Guangyu , Lee Minwoo , Lee Choong-Ki , Kim Minseong 
Published: July 2024

Purpose
This study aims to identify the key characteristics of tourism live streamers (TLSers) that influence target consumers and examine how these characteristics enhance destination brand value by stimulating consumer emotional engagement and value co-creation behaviors.

Design/methodology/approach
A questionnaire survey was conducted with 552 respondents who had viewed tourism live streaming in China. The data were analyzed using structural equation modeling.

Findings
The results revealed that TLSers’ expertise had the strongest influence on consumers and positively affected their attachment, trust, participation and citizenship behaviors and perceived destination brand value. Attractiveness and trustworthiness exerted positive but weaker effects on these variables.

Originality/value
This study contributes to the theoretical development of live-streaming research by demonstrating the distinct impacts of TLSer characteristics. Furthermore, this study expands the application of the social exchange theory and value co-creation in tourism research.
Predicting the financial performance of microfinance institutions with machine learning techniques
Authors: Ting Tang , Mia Md Aslam , Hossain Md Imran , Wah Khaw Khai 
Published: July 2024

Purpose
Given the growing emphasis among scholars, practitioners and policymakers on financial sustainability, this study aims to explore the applicability of machine learning techniques in predicting the financial performance of microfinance institutions (MFIs).

Design/methodology/approach
This study gathered 9,059 firm-year observations spanning from 2003 to 2018 from the World Bank's Mix Market database. To predict the financial performance of MFIs, the authors applied a range of machine learning regression approaches to both training and testing data sets. These included linear regression, partial least squares, linear regression with stepwise selection, elastic net, random forest, quantile random forest, Bayesian ridge regression, K-Nearest Neighbors and support vector regression. All models were implemented using Python.

Findings
The findings revealed the random forest model as the most suitable choice, outperforming the other models considered. The effectiveness of the random forest model varied depending on specific scenarios, particularly the balance between training and testing data set proportions. More importantly, the results identified operational self-sufficiency as the most critical factor influencing the financial performance of MFIs.

Research limitations/implications
This study leveraged machine learning on a well-defined data set to identify the factors predicting the financial performance of MFIs. These insights offer valuable guidance for MFIs aiming to predict their long-term financial sustainability. Investors and donors can also use these findings to make informed decisions when selecting their potential recipients. Furthermore, practitioners and policymakers can use these findings to identify potential financial performance vulnerabilities.

Originality/value
This study stands out by using a global data set to investigate the best model for predicting the financial performance of MFIs, a relatively scarce subject in the existing microfinance literature. Moreover, it uses advanced machine learning techniques to gain a deeper understanding of the factors affecting the financial performance of MFIs.
Employees’ attitudinal reactions to supervisors’ weekly taking charge behavior: the moderating role of employees’ proactive personality
Authors: Guzman Felipe A. , Hamstra Melvyn R.W. , Escribano Pablo Ignacio , Fu Xin 
Published: July 2024

PurposeResearchers have studied supervisors’ proactive personality in its relationship with employees’ attitudes. However, little attention has been given to how employees react to instances of supervisors’ proactive behavior. Drawing from P-E fit theory, we propose that the relationship between supervisor weekly taking charge behavior (TCB, the quintessential proactive behavior) and employees’ weekly job attitudes depends on employees’ proactive personality.Design/methodology/approachUtilizing a diary study, we investigate how employees’ proactive personality moderates the within-person relationship between supervisor TCB and employees’ attitudes (measured as job satisfaction and affective commitment). We surveyed 39 employees ten times over ten weeks.FindingsMulti-level analyses partially supported our predictions on the differential effects of weekly supervisor TCB on employees’ job attitudes. Supervisors’ above-average TCB was significantly related to higher levels of employees’ job satisfaction and marginally related to affective commitment for employees with high proactive personality, but not for those with low proactive personality. Supplemental analyses revealed that our results are unique to supervisor TCB and not to supervisor helping behavior.Originality/valueOur study is among the first to utilize a dynamic approach to understand the consequences of supervisors’ proactive work behavior in the context of P-E fit research. Our findings will open several fruitful avenues for future research that continue to understand the powerful effects of supervisors’ proactivity.
Understanding national brand customer erosion: exploring socio-demographic and weight of purchase factors
Authors: Holgado-Herrero José Miguel , Rondan-Cataluña F. Javier , Barroso-Castro Carmen , Galán-González José Luís 
Published: July 2024

Purpose
The purpose of this study is to explore brand customer erosion at both the category and brand levels while considering consumer socio-demographic characteristics and weight of purchase factors.

Design/methodology/approach
Data from 3,563 buyers encompassing 20,601 purchases were collected from a prominent household data panel.

Findings
Brand customer erosion varies depending on socio-demographic factors (householder age, family size, life cycle and social class) and weight of purchase; variations are evident depending on the specific brand.

Originality/value
The paper makes a substantial contribution to the established fields of marketing and consumer behavior literature by opening a new line of research. It does so by demonstrating, the impact of socio-demographic factors on customer erosion. Simultaneously, it presents results that contradict the limited existing research on the influence of weight of purchase on brand customer erosion.
Institutional pressures and greenwashing in social responsibility: reversing the link with hybridization capability
Authors: Can Ozge , Turker Duygu 
Published: July 2024

PurposeDespite the ongoing scholarly interest in greenwashing, it is not well known the impact of multiple institutional pressures on greenwashing in corporate social responsibility (CSR). Following the institutional logics perspective, this study investigates how three distinct logics – commercial, public, and social welfare – drive greenwashing and whether organizational capability for blending diverse CSR expectations reverses this link.Design/methodology/approachThe current study conceptualized and tested an original model on how three institutional logics influence greenwashing in CSR, with the mediation effect of hybridization capability as a response to logic plurality. Partial least squares structural equation modeling was performed on a survey data, which was collected from 150 middle managers in Turkey.FindingsThe results show that while commercial logic has no direct or indirect impact on greenwashing, public and social welfare logics drive greenwashing in CSR. However, these effects are reversed when the CSR hybridization capability increases.Practical implicationsThis study contributes to the understanding of what predicts CSR greenwashing by integrating a comprehensive theoretical framework involving multiple institutional logics, conflicting stakeholder demands, and organizational hybridity.Originality/valueTo the best of our knowledge, this is the first study that theoretically and empirically analyzed how the exposure of multiple external pressures affects the CSR greenwashing and how it can be reversed by CSR hybridization capability. This capability mitigates the threats and challenges of multiple logics and turns them into an opportunity to gain legitimacy in the eyes of stakeholders by preventing greenwashing.
All about Social Coupons! Evolution, Review and Research Directions
Authors: Ram Pappu Kalyan , Pandey Neeraj , Paul Justin 
Published: July 2024

Purpose A novel phenomenon in product and service promotions, social coupons facilitate group buying at lower prices, bringing key benefits to customers, merchants and coupon aggregators. This study maps the evolution and innovations in social couponing, identifies knowledge gaps in the domain and sets the future research agenda.Design/methodology/approach Through a detailed systematic literature review and bibliometric analysis, this study maps the evolution of social coupons over time. The analysis examines social coupon research by studying research outputs by authors, institutes, countries and research themes. It also explores how the social couponing phenomenon has benefited the three key stakeholders: customers, merchants and coupon aggregators.Findings An innovation in couponing, social coupons are discount coupons that feature group buying, pre-purchase and daily deals. Based on the extensive review of extant literature, the study proposes a conceptual model for the social couponing process. The study also provides inputs for future research on social coupons and delineates their academic and managerial implications.Originality/value This study makes a pioneering endeavor to comprehensively map the knowledge structure of social coupons from multiple dimensions.