bluuebunny/crossref_metadata_2025_split huggingface dataset:
COVID-19 pandemic and entrepreneurial intention among university students: a contextualisation of the Igbo Traditional Business School
Authors: Godswill Agu Agu , Okwara Onwuka Onwuka , Okocha Ebere Rejoice , Madichie Nnamdi O. 
Published: November 2021

PurposeThis study investigates and contextualises the Igbo Traditional Business School (ITBS) and planned entrepreneurial behaviour across Nigerian higher education sector in a period of crisis occasioned by the COVID-19 pandemic.Design/methodology/approachThe study is based on a quantitative survey of undergraduate students on ITBS, and the data were analysed using the SmartPLS structural equation modelling (SEM).FindingsThe study finds that the COVID-19 pandemic has had negative influence on attitudes, subjective norms, perceived behavioural control (PBC) and entrepreneurial intention (EI) of students, but these negative influences are mediated/moderated by the ITBS.Practical implicationsThe study presents some practical and managerial implications that will be of interest to ITBS administrators, the government and other stakeholder groups.Originality/valueWhile research has increasingly explored the role of the ITBS in promoting entrepreneurial activities, not much has been linked to coping mechanisms for students in crisis times. The study unearths the “positive” influence of the pandemic on entrepreneurship and how the ITBS mediates the “negative” aspects of COVID-19 on entrepreneurial vocation.
Harmonic/interharmonic estimation using standard deviation assisted ESPRIT method
Authors: Srivastava Ankit Kumar , Tiwari A.N. , Singh S.N. 
Published: November 2021

Purpose
This paper aims to accurately estimate harmonics/interharmonics in modern power system. There are several high spectral resolution techniques that have been in use for several years like Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT), Prony methods, etc. but these techniques require prior knowledge of number of modes present in the signal. Model Order (MO) estimation techniques have to make a trade-off between accuracy and their speed i.e., computational burden. Therefore, there is always a requirement of a technique that is fast as well as accurate.

Design/methodology/approach
The proposed standard deviation (SD) method eliminates the requirement of energy validation test and analyses the distribution pattern, i.e. standard deviation of eigenvalues to identify the number of modes present in the signal. Signal is reconstructed using estimated modes and reconstruction error is obtained to show accuracy of the proposed estimation.

Findings
Six test synthetic signals as well as one practical signal have been taken for validating the proposed method. The paper shows that proposed methodology has a better accuracy compared to modified exact model order (MEMO) method in high noise environment and takes very less computation time compared to the exact model order (EMO) method.

Practical implications
The proposed method has been practically implemented for harmonic/interharmonic analysis at a sewage treatment plant at GIFT City, Gujarat, India. Apart from this the proposed method is modeled in python-based tool and is run into low-cost Raspberry Pi like hardware to create an onsite as well as remote monitoring device.

Originality/value
SD-based approach for model order estimation is novel to this area. Further, the proposed method is compared with EMO and MEMO under varying noise conditions to check for accuracy and estimation time.
Assessing the influence of emotional intelligence on teachers' performance in Lebanese private education institutions
Authors: Trad Moni , Alayoubi Mona Omar , Abdul Khalek Rasha , Khaddage-Soboh Nada 
Published: November 2021

PurposeThe main purpose of this study is to demonstrate and verify the influence of emotional intelligence skills on the performance of teachers in private higher educational institutions.Design/methodology/approachThis quantitative study is based on the positivism research philosophy and the deductive research. Data are collected form Lebanese educational institutions; 304 teachers are surveyed using the convenience sampling technique. Hypotheses are verified through the one-way ANOVA and the multiple linear regression (step-wise) technique with a Sig. value of 0.000 < 0.05.FindingsThe study verified that teachers' demographics have a direct impact on their performance. It also proved that emotions have an impact on teachers' behaviors; emotions are important energy re-sources that help them cope with difficult situations. Teachers with a high level of emotional intelligence are in tune with their own emotions. It is demonstrated that self-awareness, self-management, self-motivation and social skill have a positive statistical influence on the teacher's performance. Lebanese Private Educational Institutions system should be endowed with emotional intelligence to provide teachers with more effective abilities which would eventually reflect on the student's cognitive abilities especially attention and memory.Originality/valueThis study contributes to the literature by studying the emotional intelligence in Lebanese educational institutions which was studied in different countries except Lebanon. It is verified that integrating the emotional intelligence into Lebanese educational systems would play a decisive role in optimum academic performance; institutions should establish as a benchmark the skills related to emotional intelligence.
Differentiated transformational leadership, conflict and team creativity: an experimental study in China
Authors: Dai Peihua , Feng Mingming , Wang Jing 
Published: November 2021

PurposeThe authors investigated the impacts of differentiated transformational leadership (TFL), including team-focused TFL and individual-focused TFL, on team creativity through the mediating effect of team conflict, consisting of task conflict and relationship conflict.Design/methodology/approachThe authors designed and conducted a close-to-reality experiment, enrolling 180 students and six professors from a large Chinese university. Student participants worked on a real marketing project and professor participants imitated the behaviors of transformational leaders. Using the computed values of team-focused TFL, individual-focused TFL, team creativity, task conflict and relationship conflict, the authors assessed the relationship among differentiated TFL, team creativity and team conflict.FindingsTeam-focused TFL has a significantly positive impact on team creativity through the mediating effect of task conflict, whereas individual-focused TFL has a significantly negative impact on team creativity through the mediating effect of relationship conflict.Originality/valueFrom a new perspective of team conflict, the authors revealed the “black box” of the differentiated TFL–team creativity relationship. Moreover, other determinants were well controlled in the experiment, and thus, the authors effectively clarified the intervening mechanism of differentiated TFL on team creativity through the mediating effect of team conflict.
Robust trajectory tracking control of underactuated unmanned surface vehicles with exponential stability: theory and experimental validation
Authors: Yu Rui , Zhou Hua 
Published: November 2021

Purpose
Trajectory tracking is an important issue to underactuated unmanned surface vehicles (USVs). However, parametric uncertainties and environmental disturbances bring great challenges to the precise trajectory tracking control of USVs. This paper aims to propose a robust trajectory tracking control algorithm with exponential stability for underactuated USVs with parametric uncertainties and unknown environmental disturbances.

Design/methodology/approach
In this method, the backstepping method and sliding mode control method are combined to ensure that the underactuated USV can track and maintain the desired trajectory. In addition, a modified switching-gain adaptation algorithm is adopted to enhance the robustness and reduce chattering. Besides, the global exponential stability of the closed-loop system is proved by Lyapunov’s direct method.

Findings
The proposed method in this paper offers a robust trajectory tracking solution to underactuated USVs and it is verified by simulations and experiments. Compared with the traditional proportion-integral-derivative method and several state-of-the-art algorithms, the proposed method has superior performance in simulation and experimental results.

Originality/value
This paper proposes a robust trajectory tracking control algorithm with exponential stability for underactuated USVs. The proposed method achieves exponential stability with better robustness and transient performance.
Do public and internal debt cause income inequality? Evidence from Kenya
Authors: Obiero Wilkista Lore , Topuz Seher Gülşah 
Published: November 2021

PurposeThis study aims to determine whether there is an effect of internal and public debt on income inequality in Kenya for the period 1970–2018.Design/methodology/approachThe relationship is examined by using the Autoregressive Distributed Lag (ARDL) model by Pesaran et al. (2001) and Toda Yamamoto causality by Toda and Yamamoto (1995).FindingsOur findings suggest that both internal and public debt harm inequality in Kenya in the long term. Furthermore, a one-way causality from internal debt to income inequality is also obtained while no causality relationship is found to exist between public debt and income inequality. Based on these findings, the study recommends that to reduce income inequality levels in Kenya, other methods of financing other than debt financing should be preferred because debt financing is not pro-poor.Originality/valueThis study is unique based on the fact that no previous paper has analysed the debt and inequality relationship in Kenya. To the best of our knowledge, this will be the first study to analyse the applicability of redistribution effect of debt in Kenya. The study is also different in that it provides separate analysis for public debt and internal debt on their effects on income inequality.
Do consumer survey data help improve US vehicle sales forecasts?
Authors: Baghestani Hamid 
Published: November 2021

PurposeThis study is concerned with evaluating the Federal Reserve forecasts of light motor vehicle sales. The goal is to assess accuracy gains from using consumer vehicle-buying attitudes and expectations about future business conditions derived from the long-running Michigan Surveys of Consumers.Design/methodology/approachSimplicity is a core principle in forecasting, and the literature provides plentiful evidence that combining forecasts from different methods and models reduces out-of-sample forecast errors if the methods and models are valid. As such, the authors construct a simple vector autoregressive (VAR) model that incorporates consumer vehicle-buying attitudes and expectations about future business conditions. Comparable forecasts of vehicle sales from this model are then combined with the Federal Reserve forecasts to assess accuracy gains.FindingsThe findings for 1994–2016 indicate that the Federal Reserve and VAR forecasts contain distinct and useful predictive information, and the combination of the two forecasts shows reductions in forecast errors that are more significant at longer horizons. The authors thus conclude that there are accuracy gains from using consumer survey responses.Originality/valueThis is the first study that is concerned with evaluating the Federal Reserve forecasts of vehicle sales and examines whether there are accuracy gains from using consumer vehicle-buying attitudes and expectations.
The circular economy, environmental performance and environmental management systems: the role of absorptive capacity
Authors: Marrucci Luca , Daddi Tiberio , Iraldo Fabio 
Published: November 2021

Purpose
Despite the general interest in the circular economy, organisations have difficulties in implementing circular practices. Developing absorptive capacity (ACAP) may foster circularity among organisations. The paper aims to shed light on relationship between ACAP and organisational performance.

Design/methodology/approach
To empirically investigate the contribution of ACAP in circular economy implementation, the authors analysed a European sample of more than 800 Eco-Management and Audit Scheme-registered organisations through partial least squares structural equation modelling.

Findings
The analysis demonstrates that ACAP and the underlying organisational activities of a firm significantly facilitate the implementation of a circular economy and the internalisation of an environmental management system (EMS), which consequently improve the overall performance of organisations. The authors found that the diffusion of the circular economy in the organisations’ environment does not affect their commitment to implement a circular economy.

Originality/value
The study expands the academic literature by framing the concept of the circular economy with ACAP theory, thereby highlighting the contribution of acquisition, assimilation, transformation and exploitation. The results also provide useful insights for practitioners highlighting how organisations with an environmental certification can identify and pursue opportunities deriving from a circular economy. Finally, the research contributes to the debate on the effect of internalising EMSs and how ACAP improves economic performance, environmental performance and reputation.
Challenges to measuring social value creation through social impact assessments: the case of RVA Works
Authors: Mulloth Balashankar , Rumi Stefano 
Published: November 2021

PurposeDespite the prevalence of academic literature debating and proposing competing conceptions of social value creation through socially driven enterprises, there is a lack of empirical studies on established impact measurement methodologies in the context of real-world ventures. The purpose of this paper is to illustrate a structured process of conducting social impact assessments (SIAs) through the real-world case of Richmond, Virginia Works Enterprise Support (RVA Works), a social enterprise in Richmond, Virginia, that provides educational programming on small business ownership to minorities and lower-income individuals.Design/methodology/approachThis qualitative research study incorporates an in-depth case study methodology. Evidence was collected through interpretive/qualitative interviews and direct observations by the researchers.FindingsUsing the example of RVA Works, the authors show that there is a lack of standardization and guidance for social entrepreneurs in choosing methods to assess their organizational performance, and that leading conceptions of social impact continue to face key weaknesses in their methodologies.Practical implicationsBy incorporating a qualitative case study approach, the authors present a real-world study of a social enterprise – specifically a microenterprise development organization – that may serve as a valuable example to social entrepreneurs and not-for-profit leaders facing similar challenges of social value creation and impact measurement.Originality/valueIn studying the experience of conducting SIAs by social enterprises, the authors illustrate the real-world challenges faced by entrepreneurs in applying theoretical conceptions of social value to the outcomes of their ventures, thus illustrating a need for additional clarity and discussion around a more comprehensive, standardized and broadly applicable measurement approach.
Integrating global sustainability into social studies teachers' education: a collaborative self-study
Authors: Zong Guichun 
Published: November 2021

PurposeThere have been increasing calls for social studies educators to engage issues of sustainability. Proponents argue that the very survival of the planet depends on the degree to which teachers can move learners away from unsustainable beliefs and behaviors to those grounded in interdisciplinary approaches to solving community and global challenges. How to implement this vision of sustainability education? The purpose of the paper is to report the results of teacher-educators' curriculum and pedagogical approaches to implement the National Council for Social Studies (NCSS) C3 framework to engage and empower prospective and practicing teachers to teach for a sustainable future.Design/methodology/approachThe study is guided by the growing field of self-study in teacher education, a type of research undertaken by teacher-educators with the dual purpose of personal professional development and a deep understanding of teacher-education practices. Most data were derived from multiple, recursive conversations (both formal and informal) around curriculum decisions and pedagogical choices to integrate sustainability issues into teacher-education courses. Additional data sources include classroom lecture notes and PowerPoint presentations, course readings and resources.FindingsThe authors' three years of collaborative work has shown that an issues-centered, interdisciplinary approach to select and integrate global issues, the current event article analysis, young adult literature and discussion and deliberation of local sustainable development issues that are some of the most effective pedagogical tools to engage and empower teacher candidates in learning about issues that affect the sustainable development of global community. The NCSS C3 provides a powerful framework to scaffold the process of analyzing sustainable issues while also teaching social studies curriculum and standards and skills.Originality/valueScholars of global education have called for shifting from an anthropocentric philosophy to a bio-centric worldview emphasizing the embeddedness of humans within the environment. How can social studies teacher-educators implement this vision of global education What instructional resources strategies and learning activities can be effectively integrated into existing courses to help candidates develop competences and commitment to teaching for global sustainability The study examines the innovative approaches to addressing these critical topics in teacher education.
Trans fatty acids in food: A review on dietary intake, health impact, regulations and alternatives
Authors: Nagpal Tanya , Sahu Jatindra K , Khare Sunil K , Bashir Khalid , Jan Kulsum 
Published: November 2021

AbstractTrans fats are desired by the edible oil industry as they impart firmness, plasticity, and oxidative stability to oil. However, clinical trials have demonstrated the adverse effects of trans fats in food on human health and nutrition. Regulatory actions have been taken up by government and non‐government bodies worldwide to eliminate the presence of trans fats in the food supply. The World Health Organization (WHO) has launched a “REPLACE” action plan to eliminate trans‐fat from the global food industry by 2023. A few enabling technologies are developed to mitigate trans fats namely, trait‐enhanced oils, modification in the hydrogenation process, interesterification, fractionation, blending, and oleogelation. Some of them have the drawback of replacing trans‐fat with saturated fats. Interesterification and oleogelation are in‐trend techniques with excellent potential in replacing trans fats without compromising the desired functionality and nutritional quality attributes. This review presents an overview of trans fatty acid for example, its dietary intake in food products, possible adverse health impact, regulations, and approaches to reduce the usage of trans fats for food application.Practical ApplicationThe requirement for the replacement of trans fatty acids (TFAs) in food supply globally has challenged the food industry to find a novel substitute for trans fats without compromising the desired functionality and nutritional property. This review presents detailed background on trans fats, their health impacts and current trends of reformulation of oils and fats to mitigate their presence in food supply chains. Information compiled in this paper will help food scientists and technologists, chemists, food processors, and retailers as there is an urgent need to find novel technologies and substitutes to replace trans fats in processed foods.
Increasing use of post‐mastectomy hypofractionated radiation therapy for breast cancer in Victoria
Authors: Kim Sohyun , Pitson Graham , Koh Tze Lui , Chao Michael , Byrne Keelan , Hornby Colin , Foroudi Farshad , Millar Jeremy , Ong Wee Loon 
Published: November 2021

AbstractIntroductionThe aim of this study was to evaluate the use of post‐mastectomy hypofractionationed radiation therapy (HFRT) for breast cancer in Victoria, Australia.MethodsThis is a population‐based cohort of women with breast cancer who received post‐mastectomy RT to the chest wall with or without nodal irradiation between 2012 and 2017. HFRT was defined as <25 fractions of RT. Data were captured in the Victorian Radiotherapy Minimum Dataset (VRMDS). The changing pattern of HFRT use was evaluated using the Cochran–Armitage test. Patient‐, treatment‐ and institutional‐related factors associated with HFRT use were evaluated using multivariable logistic regression.ResultsTwo thousand and twenty‐one women were included in this study, of which 238 (12%) received HFRT. This increased from 8% in 2012 to 18% in 2017 (P‐trend < 0.001). Older women were more likely to have HFRT (26% in women above 70 years vs 6% in women under 50 years; P < 0.001). Women who did not have nodal irradiation were more likely to have HFRT than those who did (18% vs 9% respectively; P < 0.001). In multivariate analyses, the progressive increase in HFRT use over time remained statistically significant – women treated in 2017 were four times more likely to receive HFRT than those treated in 2012 (95% CI = 2.1–7.7; P < 0.001). Other factors independently associated with increased likelihood of HFRT use included increasing age at RT, and lack of nodal irradiation.ConclusionIn this first Australian study evaluating the use of post‐mastectomy HFRT, we observed increasing HFRT use in Victoria over time. We anticipate this rising trend will continue in the coming years.