bluuebunny/crossref_metadata_2025_split huggingface dataset:
A modified trust-region assisted variable-fidelity optimization framework for computationally expensive problems
Authors: Li Chengshan , Dong Huachao 
Published: May 2022

PurposeVariable-fidelity optimization (VFO) frameworks generally aim at taking full advantage of high-fidelity (HF) and low-fidelity (LF) models to solve computationally expensive problems. The purpose of this paper is to develop a novel modified trust-region assisted variable-fidelity optimization (MTR-VFO) framework that can improve the optimization efficiency for computationally expensive engineering design problems.Design/methodology/approachThough the LF model is rough and inaccurate, it probably contains the gradient information and trend of the computationally expensive HF model. In the proposed framework, the extreme locations of the LF kriging model are firstly utilized to enhance the HF kriging model, and then a modified trust-region (MTR) method is presented for efficient local search. The proposed MTR-VFO framework is verified through comparison with three typical methods on some benchmark problems, and it is also applied to optimize the configuration of underwater tandem wings.FindingsThe results indicate that the proposed MTR-VFO framework is more effective than some existing typical methods and it has the potential of solving computationally expensive problems more efficiently.Originality/valueThe extreme locations of LF models are utilized to improve the accuracy of HF models and a MTR method is first proposed for local search without utilizing HF gradient. Besides, a novel MTR-VFO framework is presented which is verified to be more effective than some existing typical methods and shows great potential of solving computationally expensive problems effectively.
Quality assessment of E-learning website using asymmetric impact–performance analysis and Kano’s customer satisfaction model: a case study based on WebQual 4.0
Authors: Esmaeili Givi Mohammadreza , Keshavarz Hamid , Kargar Azad Zahra 
Published: May 2022

Purpose
Using asymmetric impact–performance analysis for examining an asymmetric relationship between user satisfaction and website features, the present research aims to identify features of high priority for quality improvement. For doing so, the current research was conducted in the context of the E-learning website of the most prestigious university in Iran, namely, the University of Tehran.

Design/methodology/approach
The main question was which of the three groups of basic, performance and excitement factors has the required dimensions of the quality of the website based on the model WebQual 4.0 by considering Kano’s user satisfaction model and impact–performance analysis. This is a descriptive survey, applied and cross-sectional study. The study population included Tehran University’s students who enrolled in virtual courses in the academic year 2020–2021 from which a sample of 457 students was selected. The data collection tool was the questionnaire of Webqual 4.0, as well as a researcher-made questionnaire to measure end-user satisfaction.

Findings
Using structural equation modeling and multiple regression, the findings showed that the customer’s overall satisfaction with the mentioned website is primarily affected by the feature interaction with services, including the two structures of trust and empathy, and then the dimensions of usability and quality of information. Examining the Webqual 0.4 dimensions indicated that the website usability dimension is a part of the high-performance excitement factors group, the information quality dimension is a part of the high-performance basic factors group and the website interaction dimension is in the low-performance basic factors group.

Originality/value
The research is highly innovative taking the theoretical model of Kano and methodological investigation of asymmetric impact–performance analysis into consideration alongside the WebQual 4.0 as a fundamental model for website assessment. Moreover, the research was conducted on an E-learning website, which is unique and a necessity amid the COVID-19 pandemic.
Operational efficiency assessment of oil refineries using data envelopment analysis and Tobit model: evidence from India
Authors: Dalei Narendra N. , Joshi Jignesh M. 
Published: May 2022

Purpose
In India, the operational performance of the refinery is influenced by many factors. It is important to identify those key drivers which can assist the refineries to uphold and succeed in day-to-day production activities. Therefore, the purpose of this study is to evaluate the operational efficiency of seven Indian oil refineries during the period 2010 to 2018.

Design/methodology/approach
In this work, a two-stage empirical analysis is proposed. In the first stage, the data envelopment analysis (DEA) – variable return to scale model is used to evaluate the operational efficiency of the Indian oil refineries. The ordinary least square (OLS), random effect generalized least square (GLS) and Tobit model are used in the second stage to identify the key determinants of efficiency and to explain the variation in refinery efficiency.

Findings
The first-stage DEA results showed that the Numaligarh Refinery Limited and Chennai Petroleum Corporation Limited are found to be more efficient than the rest of the sampled refineries and attained their efficiency scores of 0.993 and 0.981, respectively, during the study period. The second-stage regression analysis suggested three explanatory variables: refinery structure, utilization rate and distillate yield, which are found to be significant in explaining variations in refinery efficiency.

Practical implications
This study provides valuable information that would help policymakers to formulate policies toward improving the efficiency of underperforming Indian refineries, which reduces the excessive use of resources and gives a competitive advantage.

Originality/value
This study proposes the first-ever application of the profit frontier DEA model for assessing the operational efficiency of oil refineries and explains the variation in refinery’s efficiency using OLS, GLS as well as the Tobit model.
Powerful political corporate appointments and firm bribery channels
Authors: Anderson Hamish D. , Liao Jing , Yang Jingjing , Young Martin 
Published: May 2022

PurposeThe authors examine the influence of powerful political corporate appointments on the usage of firm bribery channels. Party Secretaries within Chinese state-owned enterprises (SOEs) may simultaneously hold top management positions, thereby endowing powerful firm-level decision rights on those appointees, hereafter referred to as powerful dual role Party Secretaries.Design/methodology/approachThis study employs panel data analysis with industry and year fixed effects. The authors use a sample of 1,143 Chinese SOEs listed on the Shanghai and Shenzhen Stock Exchanges from 2004 to 2015.FindingsThe authors find that powerful dual role Party Secretaries are associated with greater bribery channel usage. Following the ongoing anticorruption campaign, SOEs with the powerful appointments significantly reduce their usage of both transparent (entertainment and travel costs) and opaque bribery (abnormal management expenses) channels. However, in general, Chinese SOEs respond to the anticorruption shock by switching from the more transparent to the opaquer bribery channel.Originality/valueThe authors contribute to the ongoing debate of politicians on corporate boards by examining the relatively unexplored area of government appointed top management and their influence on bribery at the firm level.
Lubrication characteristics of double involute gears under the tribo-dynamic condition
Authors: Yin Zhaoming , Fan Zhimin 
Published: May 2022

Purpose
The purpose of this paper is to study the lubrication characteristics of double involute gear (DIG), compare its lubrication differences under quasi-static and tribo-dynamic conditions and study the influence of different factors on its lubrication characteristics under the tribo-dynamic condition.

Design/methodology/approach
According to the meshing characteristics of DIG and elastohydrodynamic lubrication (EHL) theory, a tribo-dynamic model of DIG is established based on the “subsection method.” The Runge-Kutta method and the multigrid method are integrated to solve the model, and the dynamic analytical model of lubricating oil is established in the iterative solution.

Findings
The load and the transmission error fluctuate obviously under the tribo-dynamic condition, which is not conducive to the lubrication of DIG. The influence of rotational speeds and torque on the lubrication properties of DIG has obvious differences under tribo-dynamic and quasi-static conditions.

Originality/value
This research can provide a theoretical basis for improving the lubrication performance, reducing the loss of mechanical efficiency and improving the bearing capacity and service life of DIG.
Preparing antiracist educators through transformative teacher education
Authors: Waddell Jennifer H. , Poos Bradley , Caruthers Loyce E. 
Published: May 2022

Purpose
This paper reports the findings of a study examining the impact of one teacher preparation program on the current practices of its graduates and documents the ways the program focused on equity and social justice in preparing educators who see themselves as agents for transforming schools. This paper aims to identify program elements that can be transformative in the preparation of antiracist teachers.

Design/methodology/approach
This study examined the stories of nine program alumni who shared preservice education experiences and reflections on current practices. Interview data, videotaped and transcribed verbatim, included the teachers’ reflections and perceptions of their preparation program and descriptions of current practices and areas to which they each attribute success as educators. Data were analyzed through inductive analysis.

Findings
Two thematic categories were identified: pedagogical experiences and foundational experiences. Pedagogical experiences were field experiences across multiple districts and schools, preparation for culturally relevant pedagogy and focus on building relationships with students and families. Foundational experiences included mindsets of examining self, conversations over time and truths about racism and inequity.

Practical implications
This study has clear implications for how programs prepare teachers for antiracism, social justice and educational equity. This paper should inform policy and practice in teacher education.

Originality/value
This study offers hope and guidance for teacher preparation programs and demonstrates that teacher education can and must be a leading contributor to an antiracist society.
Biases in risk assessments under EU anti-money laundering law – evidence of the better-than-average effect from Germany
Authors: Haffke Lars 
Published: May 2022

Purpose
Anti-money laundering (AML) obligations follow a risk-based approach, making their extent subject to the degree of AML risk. Money Laundering Reporting Officers (MLROs) must constantly assess risks, for example, by conducting annual risk assessments of the company. The purpose of this paper is to analyse whether MLROs’ risk assessments are biased in form of a better-than-average (BTA) effect, meaning whether they favourably assess their own company’s risk compared to that of the average competitor. Additionally, MLROs’ general risk assessment capabilities are researched.

Design/methodology/approach
A survey of MLROs of German companies was conducted (n = 228). It tests for a BTA effect in participants’ risk assessments of their own company as well as for errors in risk assessments of other industries.

Findings
MLROs’ risk assessments are biased by a BTA effect across all industries. They view their own company’s risk to be below that of the average competitor. Additionally, MLROs are not able to correctly assess industries’ AML risks compared to the national risk assessment. Risks were especially underestimated for high-risk industries. Biases were partially found to be higher among MLROs from the non-financial sector.

Practical implications
Risk-based AML measures are likely to be at least partially ineffective, calling the risk-based approach into question. Regular trainings of MLROs need to include awareness for biases in risk assessments. A more stringent and effective supervision, especially in the non-financial sector, is called for.

Originality/value
To the best of the author’s knowledge, this paper is the first to show that a BTA effect exists among MLROs.
Implementation of Management 3.0: its consistency and conditional factors
Authors: Piwowar-Sulej Katarzyna , Sołtysik Mariusz , Różycka-Antkowiak Justyna Łucja 
Published: May 2022

PurposeRapid changes in the business environment and the accelerating dynamics and increasing complexity shaping the functioning of organizations have given rise to modern concepts of people management. The Management 3.0 (M3.0) concept was developed based on agile project management concept; however, it can be implemented not only in projects, but also in the entire organization. It consists of six pillars such as: energizing people, empowering teams, aligning constraints, developing competencies, growing structure, and improving everything. The paper aims to present the relationships between the level of implementation of the above-presented pillars and such variables as the scope of use of agile project management methodologies, and project managers' (PMs) as well as HR practitioners' knowledge in this area.Design/methodology/approachMembers of PMI and IPMA representing 34 companies located in Poland took part in the research which was based on a CAWI method.FindingsResearch shows that the level of M3.0 implementation – in terms of its six pillars – is internally consistent but mostly on a “defined” level. No correlation was observed between the implementation of M3.0 and the frequency with which agile project management methodology is applied. On the other hand, there is a strong correlation between the level of PMs' knowledge and the implementation of some of the M3.0 pillars. HR specialists' knowledge in the field of M3.0 is not associated with organizational advances in the implementation of M3.0.Originality/valueAs the first research project in the area of M3.0, this study proposes practical implications as well as topics which require further empirical exploration.
When a backer is an expropriator: pitfalls in the consumer protection mechanism for off-plan building sales in Vietnamese law
Authors: Thanh Doan Hai , Thi Phuong Doan Diep , Minh Luu Sang 
Published: May 2022

Purpose
To motivate investments in housing projects, the state may allow private entities to mobilize capital through selling off-plan buildings and use proceeds to complete the project. The state senses the risks for consumers in these projects: frauds certainly occur. To safeguard consumers’ interests, the Vietnamese Government requires developers to obtain a bank's refund guarantee to sell off-plan. This paper aims to point out how consumers are marginalized due to the mechanism (mechanisms) dedicated to protecting them.

Design/methodology/approach
The authors review the legal regulations in Vietnam, contracts in transactions on which they have given legal consultation (the authors leave the information anonymous for privacy issues), and real disputes exposed by newspapers re: off-plan sales.

Findings
This paper argues that the measure fails for two reasons. First, there are many weaknesses allowing banks to avoid this mechanism. Second, banks lend to developers, and as such, play the role of a secured creditor. In these situations, there is a conflict of interest between the bank's roles and between the bank and consumers. Moreover, Vietnamese law, by endowing banks the privilege of seizing and obtaining possession of collaterals, may put aside consumers' interests.

Originality/value
Bank's refund guarantee’ is a recent initiative of the Vietnamese Government, offered to safeguard consumers’ interests in off-plan sales. Issues arising thereupon have not yet been fully exposed, especially, in conjunction with a broad view of the Vietnamese legal system. The analysis and critiques offered by this study may have policy implications for other jurisdictions as well.
Mental conversion: a customer service strategy impacting shopping experiences
Authors: Meng Yan , Gould Stephen J. , Song Lei , Chang Hua , Vaziri Shiva 
Published: May 2022

Purpose
This study aims to provide a practical strategy for customer service and salesforce from the basis of behavioral economics. When customers thought they missed a discount but eventually could get the deal, they perceived that they had obtained more value. This research defines such a conversion effect between gain and loss accounts, demonstrates its impact in marketing settings and provides the salesforce a tactic to increase sales and quality of customer service to improve the consumer experience in the social customer journey.

Design/methodology/approach
Three experiments were conducted in a behavioral lab and online setting. Participants were randomly assigned to 2 (gain vs loss) × 2 (converted vs simple) between-subjects designs in the first two experiments and 2 (gain vs loss) × 2 (converted vs simple) × 2 (high price vs low price) in the third experiment. Analysis of variance was conducted to analyze the data. Mediation and moderation analyses were also conducted to identify the mediator and moderator in the model.

Findings
The conversion between gain and loss mental accounts exists, and the converted gains are more likely to lead consumers to make purchases with a once-lost discount than simple gains. This conversion effect is mediated by consumers’ implemental mindset activated by the conversion and moderated by price.

Originality/value
This research shows that mental accounts of gains and losses can be dynamically converted to one another. It provides a managerial tactic for salesforces and customer service to lead consumers to make a purchase decision right away. This is especially important when they aim to enhance the consumer experience in the social customer journey.
Big data analysis for decision-making processes: challenges and opportunities for the management of health-care organizations
Authors: Fanelli Simone , Pratici Lorenzo , Salvatore Fiorella Pia , Donelli Chiara Carolina , Zangrandi Antonello 
Published: May 2022

Purpose
This study aims to provide a picture of the current state of art in the use of big data for decision-making processes for the management of health-care organizations.

Design/methodology/approach
A systematic literature review was carried out. The research uses two analyses: descriptive analysis, describing the evolution of citations; keywords; and the ten most influential papers, and bibliometric analysis, for content evaluation, for which a cluster analysis was performed.

Findings
A total of 48 articles were selected for bibliographic coupling out of an initial sample of more than 5,000 papers. Of the 48 articles, 29 are linked on the basis of their bibliography. Clustering the 29 articles on the basis of actual content, four research areas emerged: quality of care, quality of service, crisis management and data management.

Originality/value
Health-care organizations believe strongly that big data can become the most effective tool for correctly influencing the decision-making processes. Thus, more and more organizations continue to invest in big data analytics, and the literature on this topic has expanded rapidly. This study seeks to provide a comprehensive picture of the different streams of literature existing, together with gaps in research and future perspectives. The literature is mature enough for an analysis to be made and provide managers with useful insights on opportunities, criticisms and perspectives on the use of big data for health-care organizations. However, to date, there is no comprehensive literature review on the big data analysis in health care. Furthermore, as big data is a “sexy catchphrase,” more clarity on its usage may be needed. It represents an important tool to be investigated and its great potential is often yet to be discovered. This study thus sheds light on emerging issues and suggests further research that may be needed.
The effects of organizational trust and empowering leadership on group conflict: psychological safety as a mediator
Authors: Joo Baek-Kyoo (Brian) , Yoon So Kyum , Galbraith Diane 
Published: May 2022

Purpose
In a knowledge-based economy, employees’ perception of psychological safety in their wok unit is critical for group conflict. The purpose of this study is to investigate the mediating role of psychological safety between the predictors (i.e. organizational trust and empowering leadership) and the outcome variable, group conflict.

Design/methodology/approach
Data was drawn from 633 employees from a global automobile company headquartered in South Korea. Construct validity of the measurement model was examined using a confirmatory factor analysis. The hypothesized model was tested by a structural equation modeling and the bootstrap analysis.

Findings
Organizational trust and empowering leadership accounted for 68% of the variance in employees’ psychological safety. The three antecedents (i.e. organizational trust, empowering leadership and psychological safety) explained 20% of the variance in group conflicts. Psychological safety significantly and fully mediated the relationship between organizational trust and group conflict and the relationship between empowering leadership and group conflict.

Practical implications
Human resources and organization development professionals can help employees feel more psychologically safe in an organization by developing empowering leaders and making more trustworthy organizational culture. When employees perceive a high level of psychological safety, they are likely to feel less conflict in their team.

Originality/value
This study examined the antecedents and consequences of psychological safety of knowledge workers in a non-Western cultural context. Psychological safety played a pivotal role as a mediator. To the best of the authors’ knowledge, this is the first study that empirically found the direct link between organizational trust and psychological safety and the relationship between empowerment leadership and psychological safety.
The COVID-19 pandemic impact on the global tourism industry SMEs: a human capital development perspective
Authors: Faeni Dewi Puspaningtyas , Puspitaningtyas Faeni Ratih , Alden Riyadh Hosam , Yuliansyah Yuliansyah 
Published: May 2022

Purpose
This paper aims to propose a model for increasing human capital competitiveness in the tourism sector in emerging economies. Using Indonesia as an example, the authors study the extent of the COVID-19 pandemic’s impact and the sector’s resilience.

Design/methodology/approach
Data was collected using a survey of 199 tourism workers in Magelang city in Central Java Island. The data was analyzed using structural equation model with Smart PLS.

Findings
The results confirm that social and human capital influence business success. Furthermore, innovation moderates the influence of human capital and social capital on business success.

Originality/value
By conducting a primary survey with the tourism workers and those who work and interact with the tourism industry in Indonesia, the authors show how a promising approach to creating and sharing agile knowledge can enhance the tourism industry micro, small and medium enterprises in emerging economies during and post-COVID-19 pandemic and after.