bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modelling the performance of waste management services in Ghana’s public hospitals
Authors: Amos Daniel , Musa Zairul Nisham , Au-Yong Cheong Peng 
Published: April 2020

PurposeThe purpose of this paper is to explore and establish key performance indicators that could be considered towards improving the delivery of waste management (WM) services in public hospitals.Design/methodology/approachAn exploratory sequential mixed-methods approach was adopted for this study. This involved two phases of data collection and analysis. Specifically, interviews in selected case studies hospitals and a general questionnaire survey. Partial least squares structural equation modelling was used to model the relationships among the performance variables. An expanded balanced scorecard typology was used to categorize performance variables.FindingsThe results demonstrate that quality and internal business strategic indicators have a significant influence on WM performance. By implication, public hospital managers would be well advised to invest resources in improving internal business operations, learning and growths, as well as prioritizing finance in the process of managing healthcare waste.Practical implicationsThe developed WM structural model can be used to identify performance indicators that can be incorporated into public hospitals’ WM strategy to improve performance leading to a decent healthcare environment.Originality/valueThe majority of studies have centered on the knowledge and practices of healthcare WM. This study extends the knowledge of healthcare WM literature from the perspective of FM performance measurement. The developed model of the study is invaluable to many developing countries that are faced with the challenge of improving WM practices.
The role of political risk in the travel fair decision-making process
Authors: Dimitrovski Darko 
Published: April 2020

Purpose
This paper aims to determine the influence of travel fair selection factors on exhibitor intention to attend, in conjunction with the role of political risk within that relationship.

Design/methodology/approach
Following the basic premises of image repair theory, this quantitative study examines the perceptions of 205 exhibitors – both domestic and international – at Belgrade Travel Fair.

Findings
Two variables – travel fair customer acquisition and retention orientation and market orientation – were found to influence travel fair intention in a statistically significant manner, while multi-group structural equation modeling indicates a positive statistically significant correlation between travel fair customer acquisition and retention and travel fair market orientation and travel fair intention for exhibitors that place higher importance on political risk in the region.

Research limitations/implications
The limitations of the research are its regional focus and its small sample size.

Practical implications
Travel fair organizers should consider market orientation and customer acquisition and retention orientation as important antecedents of travel fair intention. Exhibitor perception of political risk enhances image repair efforts.

Social implications
The study focuses on the perception of travel fair exhibitors when attending a travel fair in a region which is continually exposed to political risk. Thus, travel fairs can act as image repair instruments for companies affected by political risk in a region, as they have the capacity to present a positive image to a specific audience.

Originality/value
The study enhances the existing work related to image repair theory by observing how travel fairs can be used as image repair instruments. The originality of the study lies in its provision of further understanding of the reasons for exhibitor attendance at travel fairs and, more specifically, the role of political risk in this context. The study’s findings extend the applicability of the image repair theory in the context of the behavioral nature of travel fair attendance.
Effects of capital structure and institutional–financial characteristics on earnings management practices
Authors: Muñoz Mendoza Jorge Andrés , Sepúlveda Yelpo Sandra María , Velosos Ramos Carmen Lissette , Delgado Fuentealba Carlos Leandro 
Published: April 2020

PurposeThe purpose of this article is to analyze the effects of financing policy and countries' institutional–financial characteristics on earnings management (EM) practices in Latin American companies.Design/methodology/approachThe GMM estimator was used according to Arellano and Bover (1995) for panel data on a sample of 983 Latin American companies between 1995 and 2017.FindingsLeverage and short-term debt have a negative and nonlinear effect on EM practices. Nonlinearity suggests that firms with high levels of leverage and short-term debt carry out positive discretionary accruals. Countries' institutional and financial development reduces EM practices. Mandatory IFRS adoption also reduces these practices and mitigates the effects of the low institutional and financial development on EM.Originality/valueThese results reveal the relevance of companies' financing policy as a means of controlling EM practices. Results also suggest that policy effectiveness decreases with leverage and short-term debt. It is suggested that policymakers design financial policies aimed to promote institutional and financial development as a means of systematic control over EM activities, which also includes IFRS.
Corporate social responsibility and college sports fans’ online donations
Authors: Hwang Geumchan , Kihl Lisa A. , Inoue Yuhei 
Published: April 2020

PurposeThis study examined how a US college athletic department’s corporate social responsibility (CSR) initiatives influenced fans’ online donation intentions.Design/methodology/approachData were collected from 490 fans of a Division I intercollegiate athletic program and analyzed using structural equation modeling.FindingsResults indicated that the quality of CSR information positively affected e-satisfaction with CSR initiatives, which, in turn, predicted fans’ online donation intentions, university attachment, and fan–athletic department identification. Moreover, the relationship between e-satisfaction with CSR initiatives and online donation intentions was mediated by fan–athletic department identification.Research limitations/implicationsThis study has a limitation in terms of generalizability. The current focus on a single athletic department does not apply the results to athletic programs at other US universities and colleges. Future research should confirm the generalizability of the study’s findings by collecting data from fans of other athletic departments.Originality/valueIt is important to understand the impact of CSR activities on online donor intentions because marketing these activities could serve as an effective fundraising tool for athletic departments. The findings from this study inform athletic administrators of factors they might consider when promoting CSR initiatives through online media to encourage fans’ donations.
A systematic literature review on family business: insights from an Asian context
Authors: Teixeira Sergio , Mota Veiga Pedro , Figueiredo Ronnie , Fernandes Cristina , Ferreira João J. , Raposo Mário 
Published: April 2020

PurposeFamily firms have been the subject of various scientific studies. This interest derives not only from their unique characteristics in terms of their management but more specifically in terms of their succession in a dimension that does not impact on other companies in the same way. Hence, and as a complex field of research, this study seeks to map out and analyse the intellectual knowledge on research into family firms in Asian contexts.Design/methodology/approachAs regards the statistical and analytical methods, the authors made recourse to the bibliometric, co-citation and cluster analysis techniques. In order to evaluate any potential patterns among the articles, the authors analysed the ways in which the articles are jointly cited. This furthermore applied hierarchical cluster analysis to the totality of the articles subject to co-citation analysis within the scope of grouping the interrelated articles into distinct sets. In order to graphically map the bibliographic co-citation analysis, the authors deployed the network and cluster determination theories.FindingsThe results enabled the identification and the classification of various theoretical perspectives on the domain of family firms into four main approaches: (1) family business behaviour; (2) family versus non-family CEOs; (3) business family performance; and (4) business family and people.Originality/valueThis study identifies, explores, analyses and summarises the main themes, contributing towards deepening the literature through the means of identifying the priority areas in relation to Asian family businesses able to guarantee international standards of excellence in comparison with their respective competitors.
How do takaful operators choose which model to adopt? A case study from the Kingdom of Bahrain
Authors: Alkhan Ahmed Mansoor , Hassan M. Kabir 
Published: April 2020

Purpose
This paper aims to provide an analysis on how takaful operators choose, which takaful model to adopt when managing their insurance operations.

Design/methodology/approach
The research uses a qualitative methodology and uses the Kingdom of Bahrain as a case study. A single/holistic case study design is used to holistically analyse how a takaful operator chooses which takaful model to adopt when managing its insurance operations.

Findings
The results reveal that generally, takaful operators adopt either the hybrid wakala-mudharaba or wakala model of takaful, depending on whether a takaful operator is managing/investing the participants’ general or family fund, respectively.

Research limitations/implications
As the empirical data and results pertain to one jurisdiction, it may be difficult to generalize the empirical findings upon other jurisdictions.

Originality/value
This research may have contributed to knowledge by adding to literature empirical data and results in relation to takaful in the Kingdom of Bahrain that may have not previously existed in literature.
Science and education in the form 4.0: public policy and organization based on human and artificial intellectual capital
Authors: Vodenko Konstantin V. , Lyausheva Svetlana A. 
Published: April 2020

PurposeThe purpose of the paper is to develop a concept of organization of the system of science and education in the form 4.0 based on human and artificial intellectual capital.Design/methodology/approachThe methods of regression and correlation analysis are used. The role of human and artificial intellectual capital for provision of effectiveness and competitiveness of the system of science and education is determined, as well as its correspondence to the modern challenges. Analysis of perspectives and limitations of automatization of the system of science and education based on AI is conducted; a model of organization of the system of science and education in the form 4.0 based on human and artificial intellectual capital is compiled.FindingsIt is established that in the system of science and education, the decisive production factor is intellectual capital, but human intellect does not necessarily have to dominate in its structure. AI is one of the most popular technologies of Industry 4.0 in the system of science and education, which has wide perspectives of practical implementation. As experience of the leading world universities, which had the highest level of digitization in 2018, showed, foundation on non-breakthrough digital technologies (computer equipment and Internet) does not allow opening the potential of increase of indicators of effectiveness and competitiveness of the system of science and education and bringing it in correspondence to the modern challenges based on digitization. However, correlation of activity of application of artificial intellectual capital with these indicators is four times higher (0.2), as compared to correlation of these indicators with activity of application of human intellectual capital (0.05). This shows demand for digitization of the system of science and education, but based on breakthrough digital technologies, of which AI should become the key one.Originality/valueIt is substantiated that higher education could be automatized based on AI by 85% and science by 63%. Therefore, on the whole in the system of science and education, the share of AI in the structure of intellectual capital could reach 74% ((85 + 63)/2). It is recommended to use the developed model of organization of the system of science and education in the form 4.0 based on human and artificial intellectual capital.
How port aesthetics affect destination image, tourist satisfaction and tourist loyalty?
Authors: Lu Chin-Shan , Weng Hsiang-Kai , Chen Shiou-Yu , Chiu Chi Wai , Ma Hiu Yan , Mak Ka Wai , Yeung Ting Chi 
Published: April 2020

Purpose
This study aims to examine the linkages between port aesthetics, destination image, tourist satisfaction and tourist loyalty in Hong Kong.

Design/methodology/approach
To achieve this objective, the authors surveyed 247 tourists in Hong Kong. Using factor analysis and structural equation model (SEM) to identify the constructs of port aesthetics and analyze its relationship with destination image, tourist satisfaction and tourist loyalty.

Findings
Five-port aesthetics constructs were identified, namely, leisure and culture, design and cognition, atmosphere, recreational facilities and memory. The results of SEM revealed the following: port aesthetics positively influenced destination image; destination image positively influenced tourist satisfaction; and tourist satisfaction had a positive influence on tourist loyalty. This research also found that the indirect effect of port aesthetics on tourist loyalty via destination image and tourist satisfaction.

Originality/value
While the environmental qualities of a port could potentially affect destination image, tourist satisfaction and loyalty, this study developed and validated a measurement instrument of perceived port aesthetics from a tourist’s perspective. Specifically, this research proposed a structural model to explain the relationships between port aesthetics, destination image, tourist satisfaction and loyalty.
Industry practices on the rework of defective products: survey results
Authors: Soares João Cláudio , Sousa Sérgio , Tereso Anabela 
Published: April 2020

PurposeThe general objective of this research was to identify the practices of the mass production industries, on the decisions related to the detection of defective products and to identify relevant criteria, actions, effects and variables to be used in a decision-making model.Design/methodology/approachA survey questionnaire was developed and structured in 20 questions, with 18 closed questions and 2 open questions. The questions were constructed based on the literature review, with the identification of 15 theoretical and practical concepts of quality. Seven other information requests were included, concerning the initial characterization of the defective items and industry. The company, the product, the processes and the defects were contextualized, and then the decision-making process was framed, to understand the factors that influenced it.FindingsThe industries of the Industrial Pole of Manaus discard or rework their defective products influenced by promoting the lowest cost and the required quality. The factors with the biggest influence on decisions are rework and disposal costs, and time available for rework and replacement. The main requirements defined for the decision-making model were: 1) compare the rework and discard options, only if the rework reaches the required quality level; and 2) identify and account the effects of defective items on quality, productivity and costs.Research limitations/implicationsOverall, 109 questionnaires were sent, representing 21.3% (109/512) of the companies at the Industrial Pole of Manaus. The respondents represent 14.6% (75/512) of the population.Originality/valueDefects can occur, requiring a decision that promotes the lowest cost and the required quality. Quality cost models do not show a systematic analysis for identification, accounting, evaluation of effects and criteria associated with the destination of manufactured defective items. Therefore this research was done to fill this gap.
The red and the black: China’s social credit experiment as a total test environment
Authors: Bach Jonathan 
Published: April 2020

AbstractChina's social credit system is an unusually explicit case where technology is used by multiple actors to turn human behavior into a test object on behalf of the state's goal of modifying the larger social environment, making it an intriguing setting for thinking about the new sociology of testing. This article considers how China's search for a usable “credit” score to both allocate financial resources and explicitly measure a citizen's trustworthiness creates an emergent experimental system of governance similar to, yet not quite captured by, the kinds of experimental processes observed in literature on the platform as a form of market‐based governance. As a site where “seeing like a state” and “seeing like a market” converge, the social credit system is a vantage point for observing the changing relationship between moral and economic domains in an era of digital platforms. The article highlights the experimental quality of the system and its emerging system of governance structured around reward and punishment and argues that strategic ambiguity, institutionalized through the affordances of digital platforms, is an important part of the design of this large‐scale social experiment.
Students’ perception of CSR and its influence on business performance. A multiple mediation analysis
Authors: Claver‐Cortés Enrique , Marco‐Lajara Bartolomé , Úbeda‐García Mercedes , García‐Lillo Francisco , Rienda‐García Laura , Zaragoza‐Sáez Patrocinio Carmen , Andreu‐Guerrero Rosario , Manresa‐Marhuenda Encarnación , Seva‐Larrosa Pedro , Ruiz‐Fernández Lorena , Sánchez‐García Eduardo , Poveda‐Pareja Esther 
Published: April 2020

AbstractFirm managers play an important role in the implementation of corporate social responsibility (CSR) actions. Education is emerging as the key factor in developing a sense of moral responsibility amongst the business students who will eventually become company managers and decision makers. The aim of this research is, thus, twofold. First, to analyze the existence of a direct positive correlation between university students’ perception of CSR and its impact on business performance; and second, to examine the extent to which two factors (advantages brought by CSR and responsibilities toward stakeholders) act as mediation variables in the aforementioned correlation. The analysis was performed with a sample of 390 business‐related university students. Amongst the potential contributions made by this study we can highlight the possibility of knowing future managers’ way of thinking and of knowing the aspects where educational centers might improve their CSR teaching.
Acceptability, reliability, and validity of a brief measure of capabilities, opportunities, and motivations (“COM‐B”)
Authors: Keyworth Chris , Epton Tracy , Goldthorpe Joanna , Calam Rachel , Armitage Christopher J. 
Published: April 2020

ObjectivesThe Capabilities, Opportunities, Motivations, Behaviour (COM‐B) model is being used extensively to inform intervention design, but there is no standard measure with which to test the predictive validity of COM or to assess the impact of interventions on COM. We describe the development, reliability, validity, and acceptability of a generic 6‐item self‐evaluation COM questionnaire.Design and methodsThe questionnaire was formulated by behaviour change experts. Acceptability was tested in two independent samples of health care professionals (N = 13 and N = 85, respectively) and a sample of people with low socio‐economic status (N = 214). Acceptability (missing data analyses and user feedback), reliability (test–retest reliability and Bland–Altman plots) and validity (floor and ceiling effects, Pearson's correlation coefficient [r], exploratory factor analysis [EFA], and confirmatory factor analysis [CFA] were tested using a national survey of 1,387 health care professionals.ResultsThe questionnaire demonstrated acceptability (missing data for individual items: 5.9–7.7% at baseline and 18.1–32.5% at follow‐up), reliability (ICCs .554–.833), and validity (floor effects 0.6–5.5% and ceiling effects 4.1–22.9%; pairwise correlations rs significantly <1.0). The regression models accounted for between 21 and 47% of the variance in behaviour. CFA (three‐factor model) demonstrated a good model fit, (χ2[6] = 7.34, p = .29, RMSEA = .02, CFI = .99, TLI = .99, BIC = 13,510.420, AIC = 13,428.067).ConclusionsThe novel six‐item questionnaire shows evidence of acceptability, validity, and reliability for self‐evaluating capabilities, opportunities, and motivations. Future research should aim to use this tool in different populations to obtain further support for its reliability and validity.
Statement of contribution

What is already known on the subject?

The Capability, Opportunity, Motivation (COM), Behaviour (‐B) model is being used extensively to inform intervention design.

The lack of an accepted universal measure hinders progress in behaviour change.

What does this study add?

There is evidence of acceptability, validity, and reliability for self‐evaluating COM.

Our measure may be sufficiently generic for any behaviour or population, although this requires further testing.
Predicting intra‐operative and postoperative consequential events using machine‐learning techniques in patients undergoing robot‐assisted partial nephrectomy: a Vattikuti Collective Quality Initiative database study
Authors: Bhandari Mahendra , Nallabasannagari Anubhav Reddy , Reddiboina Madhu , Porter James R. , Jeong Wooju , Mottrie Alexandre , Dasgupta Prokar , Challacombe Ben , Abaza Ronney , Rha Koon Ho , Parekh Dipen J. , Ahlawat Rajesh , Capitanio Umberto , Yuvaraja Thyavihally B. , Rawal Sudhir , Moon Daniel A. , Buffi Nicolò M. , Sivaraman Ananthakrishnan , Maes Kris K. , Porpiglia Francesco , Gautam Gagan , Turkeri Levent , Meyyazhgan Kohul Raj , Patil Preethi , Menon Mani , Rogers Craig 
Published: April 2020

AbstractObjectiveTo predict intra‐operative (IOEs) and postoperative events (POEs) consequential to the derailment of the ideal clinical course of patient recovery.Materials and MethodsThe Vattikuti Collective Quality Initiative is a multi‐institutional dataset of patients who underwent robot‐assisted partial nephectomy for kidney tumours. Machine‐learning (ML) models were constructed to predict IOEs and POEs using logistic regression, random forest and neural networks. The models to predict IOEs used patient demographics and preoperative data. In addition to these, intra‐operative data were used to predict POEs. Performance on the test dataset was assessed using area under the receiver‐operating characteristic curve (AUC‐ROC) and area under the precision‐recall curve (PR‐AUC).ResultsThe rates of IOEs and POEs were 5.62% and 20.98%, respectively. Models for predicting IOEs were constructed using data from 1690 patients and 38 variables; the best model had an AUC‐ROC of 0.858 (95% confidence interval [CI] 0.762, 0.936) and a PR‐AUC of 0.590 (95% CI 0.400, 0.759). Models for predicting POEs were trained using data from 1406 patients and 59 variables; the best model had an AUC‐ROC of 0.875 (95% CI 0.834, 0.913) and a PR‐AUC 0.706 (95% CI, 0.610, 0.790).ConclusionsThe performance of the ML models in the present study was encouraging. Further validation in a multi‐institutional clinical setting with larger datasets would be necessary to establish their clinical value. ML models can be used to predict significant events during and after surgery with good accuracy, paving the way for application in clinical practice to predict and intervene at an opportune time to avert complications and improve patient outcomes.