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1 – 10 of 144Xavier Parent-Rocheleau, Kathleen Bentein, Gilles Simard and Michel Tremblay
This study sought to test two competing sets of hypotheses derived from two different theoretical perspectives regarding (1) the effects of leader–follower similarity and…
Abstract
Purpose
This study sought to test two competing sets of hypotheses derived from two different theoretical perspectives regarding (1) the effects of leader–follower similarity and dissimilarity in psychological resilience on the follower's absenteeism in times of organizational crisis and (2) the moderating effect of relational demography (gender and age similarity) in these relationships.
Design/methodology/approach
Polynomial regression and response surface analysis were performed using data from 510 followers and 149 supervisors in a financial firm in Canada.
Findings
The results overall support the similarity–attraction perspective, but not the resource complementarity perspective. Dissimilarity in resilience was predictive of followers' absenteeism, and similarity in surface-level conditions (gender and age) attenuates the relational burdens triggered by resilience discrepancy.
Practical implications
The findings reiterate the importance of developing employees' resilience, while shedding light on the importance for managers of being aware of their potential misalignment with subordinates resilience.
Originality/value
The results (1) suggest that it is the actual (di)similarity with the leader, rather than leader's degree of resilience, that shapes followers' absenteeism and (2) add nuance to the resilience literature.
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Kassa Woldesenbet Beta, Natasha Katuta Mwila and Olapeju Ogunmokun
This paper seeks to systematically review and synthesise existing research knowledge on African women entrepreneurship to identify gaps for future studies.
Abstract
Purpose
This paper seeks to systematically review and synthesise existing research knowledge on African women entrepreneurship to identify gaps for future studies.
Design/methodology/approach
The paper conducted a systematic literature review of published studies from 1990 to 2020 on women entrepreneurship in Africa using a 5M gender aware framework of Brush et al. (2009).
Findings
The systematic literature review of published studies found the fragmentation, descriptive and prescriptive orientation of studies on Africa women entrepreneurship and devoid of theoretical focus. Further, women entrepreneurship studies tended to be underpinned from various disciplines, less from the entrepreneurship lens, mostly quantitative, and at its infancy stage of development. With a primary focus on development, enterprise performance and livelihood, studies rarely attended to issues of motherhood and the nuanced understanding of women entrepreneurship’s embeddedness in family and institutional contexts of Africa.
Research limitations/implications
The paper questions the view that women entrepreneurship is a “panacea” and unravels how family context, customary practices, poverty and, rural-urban and formal/informal divide, significantly shape and interact with African women entrepreneurs’ enterprising experience and firm performance.
Practical implications
The findings and analyses indicate that any initiatives to support women empowerment via entrepreneurship should consider the socially constructed nature of women entrepreneurship and the subtle interplay of the African institutional contexts’ intricacies, spatial and locational differences which significantly influence women entrepreneurs’ choices, motivations and goals for enterprising.
Originality/value
The paper contributes to a holistic understanding of women entrepreneurship in Africa by using a 5M framework to review the research knowledge. In addition, the paper not only identifies unexplored/or less examined issues but also questions the taken-for-granted assumptions of existing knowledge and suggest adoption of context- and gender-sensitive theories and methods.
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Ilyas Masudin, Putri Elma Zuliana, Dana Marsetiya Utama and Dian Palupi Restuputri
The purpose of this study is to identify the risks that exist in halal meat supply chain activities and to carry out a risk assessment using the fuzzy best-worst method (FBWM…
Abstract
Purpose
The purpose of this study is to identify the risks that exist in halal meat supply chain activities and to carry out a risk assessment using the fuzzy best-worst method (FBWM) along with mitigating risks using the risk mitigation number (RMN).
Design/methodology/approach
The method used is to collect several literature reviews related to the halal meat supply chain, which has information relevant to the risks of the meat industry in Indonesia. Then, a focus group discussion was held with several experts who play a role in the meat industry in Indonesia, and 33 identified risks were identified in halal meat supply chain activities. The proposed methodology uses FBWM and RMN in conducting risk assessment and mitigation in the meat industry in Indonesia.
Findings
The analysis reveals that priority risk is obtained by using the global weight value on the FBWM, and then risk mitigation is carried out with RMN. Priority mitigation strategies can mitigate some of the risks to the meat industry in Indonesia. The proposed mitigation strategy is designed to be more effective and efficient in preventing risks that can interfere with product halalness in halal meat supply chain activities in the Indonesian meat industry.
Research limitations/implications
The implications of this study highlight the need for collaboration among stakeholders, improved risk assessment methodologies and the expansion of research into other halal supply chains. By addressing these implications, the halal industry can enhance its integrity, consumer confidence and overall contribution to the global market.
Originality/value
This research provides an integrated approach to identifying, analyzing, assessing and mitigating risks to the meat industry in Indonesia.
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Brendan Luyt and Karryl Sagun-Trajano
In this study, the authors look at the case of Ferdinand Marcos, President of the Philippines between 1965 and 1986. Documenting the life and career of Marcos on Wikipedia…
Abstract
Purpose
In this study, the authors look at the case of Ferdinand Marcos, President of the Philippines between 1965 and 1986. Documenting the life and career of Marcos on Wikipedia provides an excellent example of the pitfalls confronting those seeking to address disinformation without first reflecting deeply on the reasons why people subscribe to views deemed outlandish by the intellectual or cultural mainstream.
Design/methodology/approach
The authors sampled the version of the Marcos article on Wikipedia as it existed after the first edit of each year since its inception (2002). This resulted in 22 texts for analysis. Content and thematic analyses were conducted on these texts as well as on the entire body of talk page comments for the article.
Findings
The authors' work suggests that the basic elements of responsible encyclopedic writing have prevailed in the case of Wikipedia's biography of Marcos. However, this is not an unalloyed victory, as issues of polarization remain unaddressed.
Originality/value
Underlying revisionist or distorted claims about Ferdinand Marcos (and other controversial topics) lie very real grievances that give these claims traction for many people. Hence, it is not enough to “just present the facts” to readers. Rather, the authors argue that what is needed is a synthesis of positions that would allow for common ground to be found between them. This could be done in the case of Wikipedia by cultivating editors who are capable and willing to engage with the subject literature in a deeper and richer fashion.
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Hsing-Hua Chang, Chen-Hsin Lai, Kuen-Liang Lin and Shih-Kuei Lin
Factor investment is booming in global asset management, especially environmental, social, and governance (ESG), dividend yield, and volatility factors. In this chapter, we use…
Abstract
Factor investment is booming in global asset management, especially environmental, social, and governance (ESG), dividend yield, and volatility factors. In this chapter, we use data from the US securities market from 2003 to 2019 to predict dividends and volatility factors through machine learning and historical data–based methods. After that, we utilize particle swarm optimization to construct the Markowitz portfolio with limits on the number of assets and weight restrictions. The empirical results show that that the prediction ability using XGBoost is superior to the historical factor investment method. Moreover, the investment performance of our portfolio with ESG, high-yield, and low-volatility factors outperforms baseline methods, especially the S&P 500 ETF.
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Sanjeev Kumar, Bharat Kapoor and Mushtaq Ahmad Shah
Purpose: The hospitality industry faces several contemporary issues and challenges that have the potential to impact its growth and development. This study aims to identify and…
Abstract
Purpose: The hospitality industry faces several contemporary issues and challenges that have the potential to impact its growth and development. This study aims to identify and analyse contemporary issues and challenges facing the hospitality industry, including trends, regulations, and Tech salutation.
Need for the study: The hospitality industry plays a significant role in the global economy with its diverse services, including accommodation, food and beverage, events, and tourism. However, the sector faces several contemporary issues and challenges that have the potential to impact its growth and development. This study will provide an overview of the most significant problems and challenges facing the hospitality industry today.
Methodology: The researchers used secondary data for the analysis of the chapter. The researchers reviewed journal papers, books, book chapters, government websites, handbooks, reports, internet, and official records for identification of issues and challenges in the hospitality industry.
Findings: The study identified several contemporary issues and challenges facing the hospitality industry, including the impact of technology and COVID-19 on operations and customer experience, changing consumer preferences for sustainable and ethical practices, labour shortages and retention issues, increasing competition, and changing regulatory environments.
Practical implications: The hospitality industry faces numerous contemporary issues and challenges that impact its sustainability and profitability. Industry stakeholders must understand and address these challenges to remain competitive and relevant in a rapidly changing global market. The findings of this study provide valuable insights into the contemporary issues and challenges facing the hospitality industry and suggest potential strategies for addressing these challenges.
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Tugrul Oktay and Yüksel Eraslan
The purpose of this paper is to improve autonomous flight performance of a fixed-wing unmanned aerial vehicle (UAV) via simultaneous morphing wingtip and control system design…
Abstract
Purpose
The purpose of this paper is to improve autonomous flight performance of a fixed-wing unmanned aerial vehicle (UAV) via simultaneous morphing wingtip and control system design conducted with optimization, computational fluid dynamics (CFD) and machine learning approaches.
Design/methodology/approach
The main wing of the UAV is redesigned with morphing wingtips capable of dihedral angle alteration by means of folding. Aircraft dynamic model is derived as equations depending only on wingtip dihedral angle via Nonlinear Least Squares regression machine learning algorithm. Data for the regression analyses are obtained by numerical (i.e. CFD) and analytical approaches. Simultaneous perturbation stochastic approximation (SPSA) is incorporated into the design process to determine the optimal wingtip dihedral angle and proportional-integral-derivative (PID) coefficients of the control system that maximizes autonomous flight performance. The performance is defined in terms of trajectory tracking quality parameters of rise time, settling time and overshoot. Obtained optimal design parameters are applied in flight simulations to test both longitudinal and lateral reference trajectory tracking.
Findings
Longitudinal and lateral autonomous flight performances of the UAV are improved by redesigning the main wing with morphing wingtips and simultaneous estimation of PID coefficients and wingtip dihedral angle with SPSA optimization.
Originality/value
This paper originally discusses the simultaneous design of innovative morphing wingtip and UAV flight control system for autonomous flight performance improvement. The proposed simultaneous design idea is conducted with the SPSA optimization and a machine learning algorithm as a novel approach.
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Yan He, Ruixiang Jiang, Yanchu Wang and Hongquan Zhu
We form portfolios based on return and liquidity and examine the effects of liquidity and other risk factors on asset pricing in the Chinese stock market. Our results show that…
Abstract
We form portfolios based on return and liquidity and examine the effects of liquidity and other risk factors on asset pricing in the Chinese stock market. Our results show that the past loser-and-illiquid stock portfolios tend to outperform the past winner-and-liquid stock portfolios in the 1–12 months holding period. The excess return is significantly associated with the market-wide liquidity factor even when we control the three Fama-French and momentum factors. Cross-sectionally, the liquidity beta significantly affects the excess return even with control of other risk betas and other traditional liquidity proxies.
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