bluuebunny/crossref_metadata_2025_split huggingface dataset:
Staff resilience and coping behavior as protective factors for mental health among construction tradesmen
Authors: Nwaogu Janet Mayowa , Chan Albert P.C. , Tetteh Mershack Opoku 
Published: February 2021

Purpose
Construction tradesmen are exposed to high levels of stress that can worsen mental health, negatively impacting safety compliance and organization productivity. Hence, effectively coping with stress to prevent mental ill-health becomes an essential point of reference. Thus, this study aims to examine the role of factors such as resilience and coping strategies in protecting tradesmen against mental ill-health.

Design/methodology/approach
Using a cross-sectional survey design, 110 tradesmen from 65 construction companies were surveyed using the Patient Health Questionnaire, Generalized Anxiety Disorder, Brief Resilience Scale and Ways of Coping Questionnaire.

Findings
The results were analyzed using descriptive statistics and logistic regression analysis. With a 74.5%, 36.4% and 14.6% prevalence rate of self-reported depression, anxiety and suicide ideation among the tradesmen, only positive reappraisal, accepting responsibility coping behaviors and resilience would mitigate the likelihood of developing mental ill-health symptoms.

Originality/value
This study has extended existing literature by providing information vital to building interventions to deal with stressors effectively. This information would benefit individuals, organizations and the economy and equip policymakers with a deeper knowledge base toward improving mental health.
Evaluating survey-based forecasts of interest rates and macroeconomic variables
Authors: Fassas Athanasios , Papadamou Stephanos , Kenourgios Dimitrios 
Published: February 2021

PurposeThis study examines the forecasting performance of the professional analysts participating in the Blue Chip Economic Indicators Survey using an alternative methodological research design.Design/methodology/approachThis work employs two methodologies, namely a panel specification, with the cross-section being the forecast horizon (from 1-month to 18-months ahead forecasts) and the time period being the time that the forecast was made and a quantile regression technique, which evaluates the hidden nonmonotonic relations between the forecasts and the target variables being forecasted.FindingsThe empirical findings of this study show that survey-based forecasts of certain key macroeconomic variables are generally biased but still efficient predictors of target variables. In particular, we find that survey participants are more efficient in predicting long-term interest rates in the long-run and short-term interest rates in the short run, while the predictability of medium-term interest rates is the least accurate. Finally, our empirical analysis suggests that currency fluctuations are very hard to predict in the short run, while we show that survey-based forecasts are among the most accurate predictors of GDP deflator and growth.Practical implicationsEvaluating the accuracy of economic forecasts is critical since market participants and policymakers utilize such data (as one of several inputs) for making investment, financial and policy decisions. Therefore, the quality of a decision depends, in part, on the quality of the forecast. Our empirical results should have immediate implications for asset pricing models that use interest rates and inflation forecasts as variables.Originality/valueThe present study marks a methodological departure from existing empirical attempts as it proposes a simpler yet powerful approach in order to investigate the efficiency of professional forecasts. The employed empirical specifications enable market participants to investigate the information content of forecasts over different forecast horizons and the temporal evolution of forecast quality.
Responsible management education (RME) post COVID-19: what must change in public business schools?
Authors: Mousa Mohamed 
Published: February 2021

PurposeThrough a multiple case study design, this article elaborates the chances of initiating and/or implementing responsible management education (RME) in Egyptian public business schools after the identification of COVID-19. In other words, this paper identifies the effect of COVID-19 on internalizing RME in the previously mentioned context.Design/methodology/approachThis is a qualitative study. The author focused on academics who work in four out of the 25 business schools in Egypt and employed a multiple-case study design (to collect his data.FindingsThe results showed that COVID-19 has not had any effect on the adoption of sustainable business education in the sample institutions. Moreover, some respondents went further and indicated that the identification of coronavirus slows down any attempt to implement RME in Egyptian public business schools. Accordingly, the author thinks that the sample business schools can implement RME post-COVID-19 if they overcome the following three types of obstacles: self-determination, contextual and national obstacles.Originality/valueThis paper contributes by filling a gap in RME, leadership and literature in the higher education sector, in which empirical studies on the effect of COVID-19 on the performance of business school have been limited until now.
Transition to online higher education during COVID-19 pandemic: turmoil and way forward to developing country of South Asia-Nepal
Authors: Gautam Dhruba Kumar , Gautam Prakash Kumar 
Published: February 2021

PurposeEvery day thousands of academic institutes suspend their classes and students are staying in their home maintaining social distancing due to the fear of COVID-19 pandemic and Nepal is no exception. Realizing these facts, this study aims to explore the factors for the effectiveness of online mode of classes to on-class course-based students and analyzes the perception of faculties and students toward online mode during the COVID-19 pandemic.Design/methodology/approachIt is based on exploratory research design, following mixed methods of qualitative and quantitative procedure. To build a rich understanding of the phenomenon, three-stage data collection procedure: preliminary interview, structural survey and validation were used.FindingsThis study revealed triplet factors: infrastructure, student and teacher as antecedents of effectiveness of online classes during a pandemic. Technological support, infrastructure availability, faculty and students' perception have a significant relationship for the effectiveness of the online mode of the teaching-learning process. Students faced anxiety during the COVID-19 pandemic, but a higher willingness to learn reduces the level of anxiety.Originality/valueThis study significantly contributes to the future management of higher education and digs the future path of online and on-class teaching-learning practices.
Exploring regulatory fit between service relationships and appeals in co-production
Authors: Li Shihao , Hu Yanghong , Xu Lan , Fu Guoqun 
Published: February 2021

Purpose
This paper aims to explore how different service relationships (mentoring relationship versus partnering relationship) in service co-production affect service outcomes. Specifically, it aims to explore whether the effects of service relationships on customers’ intention to purchase the service are contingent upon service appeals’ regulatory focus (promotion versus prevention focus) and when the regulatory fit effects exist.

Design/methodology/approach
Three experimental studies were conducted to test hypotheses. ANOVA and bootstrapping were used to analyze the data.

Findings
The findings of the three experiments provide convergent evidence for the hypotheses. Specifically, when customers view service employees as mentors (versus partners) in service co-production, promotion-focused (versus prevention focused) service appeals effectively enhance customers’ intention to purchase the service because customers experience a regulatory fit. Moreover, the regulatory fit effects are strengthened or attenuated according to customers’ subjective social status.

Practical implications
Service firms should adopt promotion-focused (versus prevention-focused) service appeals if employees and customers are having mentoring (versus partnering) relationships, especially when customers have higher (lower) social status.

Originality/value
To better manage service co-production, this paper investigates beneficial outcomes of mentoring and partnering relationships from a regulatory fit perspective. It highlights the importance of compatibility between service relationship and service appeals’ regulatory focus and demonstrates a novel regulatory fit effect. It also uncovers engagement as the underlying mechanism for the regulatory-fit effect and identifies social class as a boundary condition.
Preparing future entrepreneurs: reflections about the COVID-19 impacts on the entrepreneurial potential of Brazilian students
Authors: Cazeri Gustavo T. , Anholon Rosley , Rampasso Izabela Simon , Quelhas Osvaldo L.G. , Leal Filho Walter 
Published: February 2021

PurposeThis viewpoint aims to present reflections on the coronavirus disease 2019 (COVID-19) pandemic scenario and the entrepreneurial potential of Brazilian students. Guidelines are proposed to support debates in the academic environment and better prepare future entrepreneurs to the labour market.Design/methodology/approachSince this is a viewpoint article, some statements presented here are characterised by the authors' opinions. However, for a better foundation, bibliographic research related to the theme was carried out.FindingsIn the authors' point of view, the COVID-19 pandemic scenario may negatively influence the decisions of Brazilian students that are characterised as potential future entrepreneurs. Educators can use the guidelines presented here to conduct debates with students in order to clarify aspects related to profile, behaviour and other issues.Originality/valueBy understanding better entrepreneurial aspects in the COVID-19 pandemic scenario, Brazilian students can make better decisions. This initiative will contribute to future success in the Brazilian entrepreneurial activity and national economy.
Women on boards and monitoring tasks: an empirical application of Kanter's theory
Authors: De Masi Sara , Słomka-Gołębiowska Agnieszka , Paci Andrea 
Published: February 2021

PurposeThis paper examines the relationship between women on boards and board monitoring tasks depending on group categories identified in the Kanter's theory.Design/methodology/approachUsing a sample of the largest listed companies in Spain, Italy and France during the period 2007–2017, this study tests the effect of women's presence based on the following board categories: (1) skewed boards with a percentage of women that is less than 20%; (2) tilted boards with a percentage of women that ranges from 20% to 33%; (3) tilted boards with a percentage of women that is more than 33%; and (4) balanced boards with an equal or quasi-equal gender distribution. The authors use the case of the gender board quota regulation in different European Union countries.FindingsThe results suggest that tilted boards engage in stronger firm monitoring and that the effect of women on board monitoring tasks is positive and statistically significant when the percentage of female directors reaches the threshold of 33%.Practical implicationsThe outcomes of this study help policymakers identify the minimum threshold that quota regulations should mandate in order for boards to be effective.Originality/valueThis paper moves forward the ongoing debate about the effect of women on corporate boards, shifting the focus from the ratio or presence of female directors to the size of the group they form within the board. To the best of authors’ knowledge, this is the first study to test Kanter's theory by investigating the relationship between women on boards and board monitoring.
Collective effect of rosemary (Rosmarinus officinalis) and betel (Piper betel) leaves extract on chicken powder incorporated fried chicken vermicelli
Authors: Saini Ashish , Pandey Anurag , Sharma Sanjita , Suradkar Umesh Shaligram , Ambedkar Yellamelli Ramji , Meena Priyanka , Gurjar Asman Singh 
Published: February 2021

PurposeThe purpose of this study is to develop chicken powder (CP) incorporated fried chicken vermicelli and to evaluate the collective effect of rosemary and betel leaf extracts (RE+BE) in developed products, on the performance of storage study parameters.Design/methodology/approachTwo different groups were made from developed products: the first control group without RE+BE incorporated and the second group treated with RE+BE (1:1). Various chemical, microbiological and sensory parameters of both groups were evaluated at intervals of 15 days up to 60 days of storage.FindingsRE+BE incorporation had significantly improved (p< 0.01) the thiobarbituric acid reactive substances (TBARs), free fatty acid (FFA) and tyrosine value as compared to control. TBARs value of RE+BE treated product remained lower (0.23 ± 0.08 to 0.65 ± 0.07) than the control (0.25 ± 0.06 to 0.83 ± 0.05). Similarly, RE+BE treated product had significantly (p< 0.04) lower total plate count (TPC), Staphylococcus count (SC) and significantly (p< 0.01) lower yeast and mold count than control. Likewise RE+BE incorporation significantly (p< 0.01) improves sensory score (texture, flavor and overall acceptability except for appearance) of the product. RE+BE treated sample at the 60th day had a higher overall acceptability score (6.3 ± 0.8) than the score of control at the 45th day (6.1 ± 0.9).Research limitations/implicationsA shelf-stable meat product can be made by chicken powder incorporation in the gram flour and a combination of rosemary and betel leaf extracts may be used to improve the shelf-life of meat products.Practical implicationsA shelf-stable meat product can be made by chicken powder incorporation in the gram flour and a combination of rosemary and betel leaf extracts may be used to improve the shelf-life of meat products.Originality/valueRE+BE incorporation into chicken vermicelli improved chemical (TBARs, FFA content and Tyrosine value), microbiological (TPC, Staphylococcus count and yeast and mold count) and sensory (flavor, texture and overall acceptability) parameters of chicken vermicelli during 60-day storage.
Internet of things skills and needs satisfaction: do generational cohorts' variations matter?
Authors: Karadal Himmet , Abubakar A. Mohammed 
Published: February 2021

PurposeThe authors’ understanding of the Internet of things (IoT) skills and needs satisfaction for IoT devices and generational cohorts' variations remains limited as commentaries are often oversimplified and generalized. This research fills a gap in the literature by highlighting the dynamics between the IoT skills and needs satisfaction for IoT devices and seeks to expound on the variations among generational cohorts using the self-determination theory.Design/methodology/approachSurvey data were obtained from 1,245 residents and IoT device users in Aksaray, Turkey. The obtained data were analyzed with variance-based structural equation modeling and the analysis of variance technique.FindingsThe results demonstrate that IoT skills determine the needs satisfaction for IoT devices. Generation Xers, Generation Yers and Generation Zers are distinct cohorts with respect to the IoT skills and needs satisfaction for IoT devices.Originality/valueCollectively, this study provides empirical evidence that informs the debate about the contributions of IoT skills and generational cohorts on needs satisfaction for IoT devices. The implications and several avenues for future theory-building research are discussed.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-04-2020-0144
What makes a helpful online review? Empirical evidence on the effects of review and reviewer characteristics
Authors: Luo Lijuan , Duan Siqi , Shang Shanshan , Pan Yu 
Published: February 2021

PurposeThe reviews submitted by users are the foundation of user-generated content (UGC) platforms. However, the rapid growth of users brings the problems of information overload and spotty content, which makes it necessary for UGC platforms to screen out reviews that are really helpful to users. The authors put forward in this paper the factors influencing review helpfulness voting from the perspective of review characteristics and reviewer characteristics.Design/methodology/approachThis study uses 8,953 reviews from 20 movies listed on Douban.com with variables focusing on review characteristics and reviewer characteristics that affect review helpfulness. To verify the six hypotheses proposed in the study, Stata 14 was used to perform tobit regression.FindingsFindings show that review helpfulness is significantly influenced by the length, valence, timeliness and deviation rating of the reviews. The results also underlie that a review submitted by a reviewer who has more followers and experience is more affected by review characteristics.Originality/valuePrevious literature has discussed the factors that affect the helpfulness of reviews; however, the authors have established a new model that explores more comprehensive review characteristics and the moderating effect reviewer characteristics have on helpfulness. In this empirical research, the authors selected a UGC community in China as the research object. The UGC community may encourage users to write more helpful reviews by highlighting the characteristics of users. Users in return can use this to establish his/her image in the community. Future research can explore more variables related to users.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-05-2020-0186.
Financial crime investigation: an evaluation of an online training program for police
Authors: Drew Jacqueline M. , Moir Emily , Newman Michael 
Published: February 2021

PurposeFinancial crime continues to represent a crime type that costs billions of dollars per year. It is likely more widespread than any other criminal offence. Despite this, it remains an area that is often ignored, or at best neglected by police. Police agencies typically fail to invest resources and training in upskilling police in financial crime investigation. The current study evaluates an agency-wide training initiative undertaken by the Queensland Police Service (QPS), Australia.Design/methodology/approachThe QPS mandated completion of an in-house online financial crime training program for all officers, up to and including the rank of senior sergeant. Matched pre- and post-training data of 1,403 officers were obtained.FindingsThe research found that police are under-trained in financial crime. The findings suggest that short online training programs can produce important improvements in knowledge and confidence in financial crime investigation. Critically, attitudes about this crime type which may be deterring officers from engaging in financial crime investigation can be improved.Originality/valueThe current research finds that police agencies need to more heavily invest in training officers to investigate financial crime and such investment will have positive outcomes. The first step involves improving knowledge, skills and attitudes towards this crime type. Further research is needed to understand why training, particularly related to attitudinal change, is more effective for different cohorts of police and how future training programs should be adapted to maximise success.
Moving the needle: can training alter officer perceptions and use of de-escalation?
Authors: D. White Michael , Mora Victor J. , Orosco Carlena , Hedberg E. C. 
Published: February 2021

PurposeDe-escalation training for police has received widespread attention as a method for reducing unnecessary and excessive use of force. There is virtually no research on de-escalation, and as a result, there is little understanding about what it is, what it includes and whether it is effective. The current study compares attitudes about the importance and use of de-escalation among officers who were randomly assigned to participate (or not) in de-escalation training.Design/methodology/approachThe current study draws from a larger randomized controlled trial of de-escalation training in the Tempe, Arizona Police Department (TPD). Approximately 100 officers completed a survey in June–July 2019 and again in June–July 2020. TPD delivered the de-escalation training to half the patrol force in February–March 2020. The authors compare treatment and control officers' attitudes about the importance of specific de-escalation tactics, how often they use those tactics and their sentiments de-escalation training. The authors employ an econometric random-effects model to examine between-group differences post-training while controlling for relevant officer attributes including age, race, sex, prior training and squad-level pretraining attitudes about de-escalation.FindingsTreatment and control officers reported positive perceptions of de-escalation tactics, frequent use of those tactics and favorable attitudes toward de-escalation before and after the training. After receiving the training, treatment officers placed greater importance on compromise, and reported more frequent use of several important tactics including compromise, knowing when to walk away and maintaining officer safety.Originality/valueOnly a few prior studies have has examined whether de-escalation training changes officer attitudes. The results from the current study represent an initial piece of evidence suggesting de-escalation training may lead to greater use of those tactics by officers during encounters with citizens.
Human resource analytics: a review and bibliometric analysis
Authors: Qamar Yusra , Samad Taab Ahmad 
Published: February 2021

PurposeThis paper aims to identify the current research trends and set the future research agenda in the area of human resource (HR) analytics by an extensive review of the existing literature. The paper aims to capture state of the art and develop an exhaustive understanding of the theoretical foundations, concepts and recent developments in the area.Design/methodology/approachA portfolio of 125 articles collected from the Scopus database was systematically analyzed using a two-tier method. First, the evolution, current state of the literature and research clusters are identified using bibliometric techniques. Finally, using content analysis, the research clusters are studied to develop the future research agenda.FindingsBased on the bibliometric analysis, network analysis and content analysis techniques, this study provides a comprehensive review of the existing literature. The study also highlights future research themes by identifying knowledge gaps based on content analysis of research clusters.Research limitations/implicationsThe evolution and the current state of the HR analytics literature are presented. Some specific research questions are also provided to help future research.Originality/valueThis study enriches the literature of HR analytics by integrating bibliometric analysis and content analysis to develop a more systematic and exhaustive understanding of the research area. The findings of this study may assist fellow researchers in furthering their research in the identified research clusters.