bluuebunny/crossref_metadata_2025_split huggingface dataset:
Portfolio weights concentration: optimal strategies and equilibrium implications
Authors: Glabadanidis Paskalis 
Published: May 2022

PurposeThe purpose of this article is to help investors build less-concentrated portfolios as well as to construct optimal return-concentration portfolios.Design/methodology/approachAn alternative portfolio objective is proposed where investors care about the level of concentration of their portfolio weights. Minimizing the concentration of portfolio weights leads to the well-known equal-weight portfolio as the optimal choice. Maximizing the trade-off between the portfolio's expected return and the weight concentration produces a novel portfolio with weights proportional to the expected return of each security.FindingsAn empirical application with 30 industry portfolios and 1,000 individual stocks finds that both proposed strategies perform well out-of-sample both in terms of the proposed concentration measure but also in terms of more traditional risk-based measures like Sharpe ratios, abnormal returns and market betas.Originality/valueThe optimal risk-concentration portfolio proposed in this paper is a novel result. The portfolio generalizes prior practitioner intuition on focusing on securities with the highest expected returns and the concept of diversification.
An integrated model of consumers' intention to buy second-hand clothing
Authors: Koay Kian Yeik , Cheah Chee Wei , Lom Hui Shan 
Published: May 2022

PurposeThe demand for second-hand clothing has risen rapidly in the past few years. Yet, the understanding of the motivations of consumers buying second-hand clothing is very limited. The purpose of this study is to propose and empirically test an integrated model of the theory of planned behaviour and the theory of consumption values to explain consumers' intention to buy second-hand clothing.Design/methodology/approachData (n = 290) are collected from consumers in Malaysia and analysed by partial least squares structural equation modelling (PLS-SEM).FindingsResults of this study show that attitudes towards second-hand clothing, injunctive norms, descriptive norms, moral norms, and perceived behavioural control have a significant positive influence on consumers' intention to buy second-hand clothing. Furthermore, emotional value and environmental value are found to have a significant positive influence on attitudes. However, no support is found for the positive influence of social value and epistemic value on attitudes.Originality/valueThe study confirms that the integrated model is useful in explaining consumers' intention to buy second-hand clothing. Furthermore, this study also provides some valuable suggestions to practitioners.
Exploring core knowledge in business intelligence research
Authors: Shiau Wen-Lung , Chen Hao , Wang Zhenhao , Dwivedi Yogesh K. 
Published: May 2022

PurposeAlthough knowledge based on business intelligence (BI) is crucial, few studies have explored the core of BI knowledge; this study explores this topic.Design/methodology/approachThe authors collected 1,306 articles and 54,020 references from the Web of Science (WoS) database and performed co-citation analysis to explore the core knowledge of BI; 52 highly cited articles were identified. The authors also performed factor and cluster analyses to organize this core knowledge and compared the results of these analyses.FindingsThe factor analysis based on the co-citation matrix revealed seven key factors of the core knowledge of BI: big data analytics, BI benefits and success, organizational capabilities and performance, information technology (IT) acceptance and measurement, information and business analytics, social media text analytics, and the development of BI. The cluster analysis revealed six categories: IT acceptance and measurement, BI success and measurement, organizational capabilities and performance, big data-enabled business value, social media text analytics, and BI system (BIS) and analytics. These results suggest that numerous research topics related to big data are emerging.Research limitations/implicationsThe core knowledge of BI revealed in this study can help researchers understand BI, save time, and explore new problems. The study has three limitations that researchers should consider: the time lag of co-citation analysis, the difference between two analytical methods, and the changing nature of research over time. Researchers should consider these limitations in future studies.Originality/valueThis study systematically explores the extent to which scholars of business have researched and understand BI. To the best of the authors’ knowledge, this is one of the first studies to outline the core knowledge of BI and identify emerging opportunities for research in the field.
Audit quality and abolition of mandated joint-audits: evidence from Kuwait
Authors: Van der Zahn Mitchell , Tebourbi Imen 
Published: May 2022

PurposeStatistical analysis is based on annual data collected from 132 Boursa Kuwait listed firms from 2016 to 2019 (i.e. yielding 528 firm-year observations). During the observation window (i.e. 2016 to 2019) 116 firms switched from joint-to solo-audits. Level and change models test if audit quality (proxied by abnormal accruals) is impacted by joint-/solo-audit switching. Therefore this paper explores the audit quality following abolition of mandated joint-audits in Kuwait.Design/methodology/approachThis paper investigates the impact on audit quality following abolition of mandated joint-audit requirements in 2016 in Kuwait. The study is differentiated from prior analysis by focusing on an emerging economy setting, and by considering a more expansive set of joint-audit pairings, solo-audit types and switching options.FindingsAbolition of mandated joint-audit requirements prompted a majority of Boursa Kuwait listed firms to switch to solo-audits. Analysis indicates that switch does not significantly decrease audit quality. Also, audit quality changes are not dependent on the specific joint-audit pairing/solo-audit type switch.Research limitations/implicationsAnalysis is based on a single national setting comprising a small set of firms. Nonetheless, results imply the impact of joint-/solo-audit switching following abolition of mandated requirements is more universal with generalizability to different economic settings.Practical implicationsResults indicate that following elimination of mandated joint-audit requirements, firms have a propensity to favor solo-audits. Irrespective of the joint-audit pairing and solo-audit type, findings show a joint-/solo-audit switch does not compromise audit quality.Originality/valueAnalysis is the first to investigate the impact of joint/solo-audit switches on audit quality in an emerging economy with tests considering more joint-audit pairings than assessed previously.
The impact of integrated reporting on financial performance in India: a panel data analysis
Authors: Soriya Sushila , Rastogi Parthvi 
Published: May 2022

PurposeThe study aims to determine the trend of Integrated Reporting (IR) practices and investigates its impact on operational performance (return on assets (ROA)) and firm value (Tobin's Q) of National Stock Exchange (NSE) listed companies in India.Design/methodology/approachManual content analysis is used to construct Integrated Reporting Disclosure Quality Index (IRDQI) to assess disclosure practices of 93 integrated annual reports for three years from 2017–2018 to 2019–2020. Further, panel data models are utilized for investigating the relationship between IRDQI and financial performance. The dependent variable consists of ROA and Tobin's Q in regression models, while the independent variable includes IRDQI.FindingsThe empirical analysis results show that IRDQI is positively and significantly associated with operational performance (ROA) while insignificantly related to firm value (Tobin's Q). The study also reveals the upward trend of IR elements and guiding principles from 2017–2018 to 2019–2020.Research limitations/implicationsThe primary limitation of this study is the scarcity of data as a handful of companies are preparing IR in India. This paper considers two profitability measures, i.e. ROA and Tobin's Q. Future research should consider both long-term and short-term profitability measures to represent the progress of IR in India.Practical implicationsThe escalation of IR disclosures represents that Indian companies are utilizing the opportunities offered by IR to meet stakeholders' expectations. Further, the study investigates the financial performance of Indian companies, which is essential for the growth and survival of the companies. The study's findings would enhance the capacity of firms to raise capital from capital markets by enticing investors.Originality/valueThis study contributes to the limited literature of IR disclosure and financial performance in India by employing content analysis and regression analysis. The organizations could utilize the unique IR index constructed in the Indian context to scrutinize their IR practices.
Impact of migration policies on socio-cultural participation and well-being: evidence from the Migration Act of 2000 in Germany
Authors: Giovanis Eleftherios 
Published: May 2022

PurposeCountries have implemented various migration policies targeting the migrants' economic and political integration and social inclusion. However, little is known about the impact of migration policies on migrants' participation in socio-cultural activities and their link with well-being. The first aim of this study is to explore the effect of the Migration Act of 2000 in Germany on participation in socio-cultural activities of first-generation migrants. The second aim is to examine the impact of socio-cultural activities on subjective well-being (SWB), measured by life satisfaction, and how it is compared between first-generation immigrants and natives.Design/methodology/approachThe Migration Act of 2000 was extended in 2005 to provide permanent residence permits to high-skilled migrants and deliver cultural orientation and German language courses. The author will implement a Difference-in-Differences (DiD) methodology comparing the relationship between socio-cultural participation and SWB of first-generation immigrants and natives.FindingsThe results show that while first-generation immigrants participate less frequently in the socio-cultural activities explored, they experience an increase in participation after the implementation of the 2000 Migration Act. Furthermore, migrants report lower levels of SWB than natives, but their life satisfaction significantly improves with the increase in socio-cultural participation.Social implicationsThe findings of this study have implications for researchers and policymakers, such as income, education and employment promoting migrant integration. Providing employment opportunities and a permanent residence permit, cultural participation, and thus, the integration of migrants can be successfully achieved.Originality/valueWhile there is a long debate about the effectiveness of migration integration policies, this is the first study investigating the effect of the Migration Act of 2000 on migrants' socio-cultural participation and well-being.
Political roots leading to opportunity recognition among Latin American social entrepreneurs
Authors: Darden Bryan B. 
Published: May 2022

PurposeThe purpose of this study was twofold. First, the author sought to more fully understand the role of socio-political activity on opportunity recognition among experienced entrepreneurs. Second, the author sought to better understand how socio-political activism, experience, entrepreneurial passion and social entrepreneurial intention are antecedents. Given the importance of entrepreneurship in the developing nations, there must be an understanding of how entrepreneurs recognize opportunities.Design/methodology/approachThis study analyzes how socio-political activism acts as a foundation on which entrepreneurs can recognize opportunity through entrepreneurial passion, experience and intention. The author utilized a survey constructed of a unique combination of existing and well-researched instruments. Entrepreneurs living in Latin America were surveyed through the web-based survey company Prolific(R). Based on an a priori power calculation, the survey was fielded to 305 respondents with a 100% response rate.FindingsThe model suggests that socio-political activism increases experience, entrepreneurial passion and social entrepreneurial intention among entrepreneurs in Latin America. Further, the model indicates that entrepreneurial passion and entrepreneurial experience have partial mediation effects on social entrepreneurial opportunity recognition, while social entrepreneurial intention has full mediation effects on social entrepreneurial opportunity recognition.Practical implicationsThe findings of this model suggest that socio-political activism in the developing context provides a model that shows how political activism plays a crucial role in numerous entrepreneurial aspects. Being active politically, gives entrepreneurs greater passion, experience and intention which in turn leads to greater opportunity recognition and mediates the relationship between socio-political activism and opportunity recognition.Originality/valueThe model presented in this research is original and helps shape the paradigm within social entrepreneurship in the developing context. The model also provides additional antecedents of opportunity recognition which may assist with shaping future research in the developing context and how the role of political activism assists the field's understanding of how entrepreneurs recognize opportunities.
Refugees as a key representation of vulnerability: politics and biopolitics
Authors: Soultatou Pelagia 
Published: May 2022

PurposeThis article aims at the sociological inquiry seeking to identify meanings ascribed to the term of vulnerability by official spokespersons, to explore a novel public health policy with reference to vulnerable populations and to trace its enactment with particular attention to vulnerable populations in Greece; finally a case of contest among the state and the civil society over refugees' rights will be located against public health politics and biopolitics in the context of the pandemic Covid-19.Design/methodology/approachThe interpretivist perspective towards analysis of textual data is adopted. Discourse analysis and content analysis are applied to analyze four sets of data.FindingsThe main findings show: (1) ambiguity over the terminology, (2) insufficient policy design and policy enactment towards the protection of vulnerable populations' health, (3) an illuminative case of contest among civil society and the state against infringement of refugees' human rights which may interpreted in terms of a tradition of solidarity.Originality/valueThe Foucauldian notion of biopolitics provides the grounds to understanding how market prevails over life at the expense of those in greater need, and how the state, serving homo economicus, intensifies instead of alleviating health vulnerabilities.
Customer sentiment analysis and prediction of halal restaurants using machine learning approaches
Authors: Hossain Md Shamim , Rahman Mst Farjana , Uddin Md Kutub , Hossain Md Kamal 
Published: May 2022

Purpose
There is a strong prerequisite for organizations to analyze customer review behavior to evaluate the competitive business environment. The purpose of this study is to analyze and predict customer reviews of halal restaurants using machine learning (ML) approaches.

Design/methodology/approach
The authors collected customer review data from the Yelp website. The authors filtered the reviews of only halal restaurants from the original data set. Following cleaning, the filtered review texts were classified as positive, neutral or negative sentiments, and those sentiments were scored using the AFINN and VADER sentiment algorithms. Also, the current study applies four machine learning methods to classify each review toward halal restaurants into its sentiment class.

Findings
The experiment showed that most of the customer reviews toward halal restaurants were positive. The authors also discovered that all of the methods (decision tree, linear support vector machine, logistic regression and random forest classifier) can correctly classify the review text into sentiment class, but logistic regression outperforms the others in terms of accuracy.

Practical implications
The results facilitate halal restaurateurs in identifying customer review behavior.

Social implications
Sentiment and emotions, according to appraisal theory, form the basis for all interactions, facilitating cognitive functions and supporting prospective customers in making sense of experiences. Emotion theory also describes human affective states that determine motives and actions. The study looks at how potential customers might react to a halal restaurant’s consensus on social media based on reviewers’ opinions of halal restaurants because emotions can be conveyed through reviews.

Originality/value
This study applies machine learning approaches to analyze and predict customer sentiment based on the review texts toward halal restaurants.
Individuals' sustainability orientation and entrepreneurial intentions: the mediating role of perceived attributes of the green market
Authors: Shahid Subhan , Reynaud Emmanuelle 
Published: May 2022

PurposeThe purpose of this paper is to investigate how perceived attributes of the green market mediate the relationship between individuals' sustainability orientation and entrepreneurial intentions and to what extent field of study (business vs non-business) moderates this relationship.Design/methodology/approachThe authors surveyed 314 students in French universities and used structural equation modeling (SEM) to examine the moderated mediation mechanism.FindingsThe results reveal that the adverse effects of the field of study on the relationship between sustainability orientation and entrepreneurial intentions through the mediating paths of green design and green supply chain. The authors found that these adverse effects were stronger for business students than for non-business students.Practical implicationsThe authors recommend that government and academia collaborate to make crucial management decisions that encourage a sustainable entrepreneurship culture, such as revising the academic curriculum and supporting the inclusion of public–private sector initiatives.Originality/valueThis study contributes to and extends previous findings on the positive nexus between an individual's sustainability orientation and entrepreneurial intentions by theorizing the perceived attributes of the green market as a mediating process for translating sustainability beliefs into entrepreneurial intentions. Additionally, the adverse moderating effect of the field of study adds nuance to previous knowledge on the role of education in determining entrepreneurial intentions.
Integration of distributed generations by coordinating electric vehicle charging station in medium voltage network by Swarm intelligence
Authors: Rout Sagarika , Biswal Gyan Ranjan 
Published: May 2022

Purpose
Notable energy losses and voltage deviation issues in low-voltage radial distribution systems are a major concern for power planners and utility companies because of the integration of electric vehicles (EVs). Electric vehicle charging stations (EVCSs) are the key components in the network where the EVs are equipped to energize their battery. The purpose of this paper is coordinating the EVCS and distributed generation (DG) so as to place them optimally using swarm-based elephant herding optimization techniques by considering energy losses, voltage sensitivity and branch current as key indices. The placement and sizing of the EVCS and DG were found in steps.

Design/methodology/approach
The IEEE 33-bus test feeder and 52-bus Indian practical radial networks were used as the test system for the network characteristic analysis. To enhance the system performance, the radial network is divided into zones for the placement of charging stations and dispersed generation units. Balanced coordination is discussed with three defined situations for the EVCS and DG.

Findings
The proposed analysis shows that DG collaboration with EVCS with suitable size and location in the network improves the performance in terms of stability and losses.

Research limitations/implications
Stability and loss indices are handled with equal weight factor to find the best solution.

Social implications
The proposed method is coordinating EVCS and DG in the existing system; the EV integration in the low-voltage side can be incorporated suitably. So, it has societal impact.

Originality/value
In this study, the proposed method shows improved results in terms EVCS and DG integration in the system with minimum losses and voltage sensitivity. The results have been compared with another population-based particle swarm optimization method (PSO). There is an improvement of 18% in terms of total power losses and 9% better result in minimum node voltage as compared to the PSO technique. Also, there is an enhancement of 33% in the defined voltage stability index which shows the proficiency of the proposed analysis.
Paediatric fever management practices and antipyretic use among doctors and nurses in New Zealand emergency departments
Authors: Tan Eunicia , Beck Sierra , Haskell Libby , MacLean Alastair , Rogan Alice , Than Martin , Venning Bridget , White Christopher , Yates Kim , McKinlay Christopher JD , Dalziel Stuart R 
Published: May 2022

AbstractObjectivesTo assess (i) paediatric fever management practices among New Zealand ED doctors and nurses, including adherence to best practice guidelines; and (ii) the acceptability of a randomised controlled trial (RCT) of antipyretics for relief of discomfort in young children.MethodsA cross‐sectional survey of doctors and nurses across 11 New Zealand EDs. The primary outcome of adherence to paediatric fever management best practice guidelines was assessed with clinical vignettes and defined as single antipyretic use for the relief of fever‐related discomfort.ResultsOut of 602 participants (243 doctors, 353 nurses and six unknown; response rate 47.5%), only 64 (10.6%, 95% confidence interval [CI] 8.3–13.4%) demonstrated adherence to best practice guidelines. In a febrile settled child with normal fluid intake, the percentage of participants that would use antipyretics doubled with abnormal vital signs (33.7%vs72.9%, difference −39.2%, 95% CI –44.4% to −34.0%). Most participants would use antipyretics for reduced fluid intake (n = 494, 82.1%, 95% CI 78.8–85.0%) in a febrile settled child. Over half (n = 339, 57.1%, 95% CI 53.0–61.1%) would advise giving antipyretics to prevent febrile convulsions. Most (n = 467, 80.0%, 95% CI 76.5–83.1%) participants agreed that a RCT of antipyretics in febrile children <2 years of age with relief of discomfort as a primary outcome is needed.ConclusionsJust over 10% of New Zealand ED doctors and nurses demonstrated adherence to paediatric fever management best practice guidelines. A RCT of antipyretics in febrile children <2 years of age specifically addressing relief of discomfort as a primary outcome is strongly supported.