bluuebunny/crossref_metadata_2025_split huggingface dataset:
A cascaded CNN-based method for monocular vision robotic grasping
Authors: Wu Xiaojun , Li Peng , Zhou Jinghui , Liu Yunhui 
Published: February 2022

Purpose
Scattered parts are laid randomly during the manufacturing process and have difficulty to recognize and manipulate. This study aims to complete the grasp of the scattered parts by a manipulator with a camera and learning method.

Design/methodology/approach
In this paper, a cascaded convolutional neural network (CNN) method for robotic grasping based on monocular vision and small data set of scattered parts is proposed. This method can be divided into three steps: object detection, monocular depth estimation and keypoint estimation. In the first stage, an object detection network is improved to effectively locate the candidate parts. Then, it contains a neural network structure and corresponding training method to learn and reason high-resolution input images to obtain depth estimation. The keypoint estimation in the third step is expressed as a cumulative form of multi-scale prediction from a network to use an red green blue depth (RGBD) map that is acquired from the object detection and depth map estimation. Finally, a grasping strategy is studied to achieve successful and continuous grasping. In the experiments, different workpieces are used to validate the proposed method. The best grasping success rate is more than 80%.

Findings
By using the CNN-based method to extract the key points of the scattered parts and calculating the possibility of grasp, the successful rate is increased.

Practical implications
This method and robotic systems can be used in picking and placing of most industrial automatic manufacturing or assembly processes.

Originality/value
Unlike standard parts, scattered parts are randomly laid and have difficulty recognizing and grasping for the robot. This study uses a cascaded CNN network to extract the keypoints of the scattered parts, which are also labeled with the possibility of successful grasping. Experiments are conducted to demonstrate the grasping of those scattered parts.
The impact of transformational leadership on teachers' job burnout: the mediating role of social-emotional competence and student-teacher relationship
Authors: Tian Jin , Zhang Wanying , Mao Yaqing , Gurr David 
Published: February 2022

PurposePrincipal leadership is an important external environmental factor that affects and alleviates teachers' job burnout. The purpose of this paper is to explore the deep internal mechanisms of the influence of principal transformational leadership on teacher job burnout in the context of Chinese teachers.Design/methodology/approachA cluster sampling method was used to conduct a questionnaire survey on 990 elementary school teachers in 14 primary schools in Beijing. This study uses a structural equation model to analyze the chain intermediary effect of social-emotional competence and the student-teacher relationship between transformational leadership and teachers' job burnout.FindingsThe results reveal that transformational leadership has a significant negative predictive effect on teachers' job burnout; this kind of leadership affects teachers' job burnout through a chain intermediary effect of social and emotional competence and student-teacher relationship.Originality/valueThis research has discovered that teacher burnout is the result of the interaction of external environmental and individual internal factors. Transformational leadership, as an external environmental factor, positively predicts the internal social-emotional competence of the teacher, and then the teacher's internal social-emotional competence positively predicts the external student-teacher relationship. Finally, the teacher-student relationship of the external environment negatively predicts the job burnout of internal individual teachers.
Identifying the entrepreneurial environmental challenges in developing countries context: a study of public universities in Kurdistan Region – Iraq
Authors: Aldawod Alvin 
Published: February 2022

Purpose
This study aims to indicate the most significant entrepreneurial environmental challenges that motivate universities of Kurdistan to become more entrepreneurial.

Design/methodology/approach
This qualitative study of 24 in-depth semi-structured interviews with deans and heads of department in the universities of Kurdistan Region deals with what is meant by being an entrepreneurial university and what challenges motivate universities toward adopting the entrepreneurial university model. Interviews were organized, coded and grouped using template analysis approach.

Findings
The results showed that most significant entrepreneurial environmental challenges that push universities in Kurdistan Region to becoming more entrepreneurial are university funding, having collaborations, contributing to the regional development, developing entrepreneurial competencies, globalization challenges, the need for innovation and the emergence of the opposition forces.

Research limitations/implications
This study examines only the entrepreneurial environmental challenges that have been identified by Gibb et al. (2013). Also, it does not consider the role of leadership in dealing with these challenges.

Originality/value
This study extends the framework of Gibb et al. (2013) of the entrepreneurial environmental challenges that push universities to become more entrepreneurial by considering the challenges that universities in developing countries face. Then, this study adds greater clarity to the challenges that motivate universities to become more entrepreneurial in developing countries.
Benchmarking analysis in the health sector: the case of the Community of Madrid 2016–2018
Authors: De Jorge-Moreno Justo , Martín Meana Fernando 
Published: February 2022

Purpose This study provides new results on the efficiency on health centers in Madrid (Spain).Design/methodology/approachThe objective of this study was to analyze the efficiency of primary care centers in the Community of Madrid in the period 2016–2018. Special attention has been paid to the detailed study of the best practices carried out. Likewise, the factors affecting efficiency have been analyzed. The methodologies used were nonparametric DEA radial, nonradial and bootstrap, for the estimation of efficiency. The main results reveal that, despite the differences in the techniques used, fundamentally the radial versus non-radial criterion, the results dynamically show the deterioration of the efficiency of the health Centers of the Community of Madrid, when compared by subperiods 2017/18–2016/17. The benchmark analysis identified the best practices of the health centers in the period analyzed. The application of cluster analysis, through kernel distributions (Azzalini and Menardi, 2014), segments the sample in two, and shows the top 20% of health Centers in resource management, in the case of radial DEA. Subsequently, a detailed analysis using pairwise comparison and their presence in the formation of the production frontier captures the benchmark health Centers, as they are present in the three years analyzed in the formation of the production frontier. The analysis of the second stage reports that the explanatory factors of efficiency are centered on the inverse relationship between the population assigned to the health Centers and positively with teaching versus those that do not. It also confirms the extent to which the pressure of care compromises the efficiency of the health Centers.FindingsA methodological approach based on three efficiency analysis methodologies (radial, non-radial and bootstrap) is applied. Likewise, a cluster analysis criterion is used (Azzalini and Menardi, 2014), little explored in the field of Healthcare.Originality/valueThe Benchmark analysis applied in this study could contribute to decision making for managers, professionals, and policy makers in the health sector. The provision of a greater quantity and quality of public health resources is an important challenge that must be met in order to maintain levels of excellence.
The “public body” enquiry in WTO disputes: implications for partial privatization
Authors: Tan Xiaowen 
Published: February 2022

Purpose
This paper aims to question the “conventional” privatization of State-owned enterprises (SOEs) and to propose the neutral position adopted by the Dispute Settlement Body (DSB) to reconcile the divergent views within the World Trade Organization (WTO) regime.

Design/methodology/approach
China’s partially privatized SOEs have raised numerous attention in WTO disputes regarding whether China's way of social and economic reform is consistent with its accession commitments and with WTO rules, in particular subsidy rules. Instead of providing a definite legal standard applicable to the “public body” enquiry, the DSB adopts the neutral position to reconcile the divergent views between developed and developing countries on whether not fully privatized SOEs constitute “public body.”

Findings
Albeit with interpretative vagueness, the value of DSB’s neutral position lies in its adequacy: first, the adequacy to address the complexity of SOE privatizations in developing countries; second, the adequacy to engage relevant parties to maintain the multilateral trading system; and third, not to impose specific impact on justification of countervailing duties.

Originality/value
This paper captures the recent developments in “public body” enquiry and calls for a compromised approach to maintain the WTO-like multilateral trade regime and to allow for more policy spaces for developing countries that best fit their unique circumstances and needs. It sees new and significant information, in the sense that the paper aims to present why China’s partial privatization benefits from the WTO “neutrality” on the subject.
Gamifying an assessment method: what signals are organizations sending to applicants?
Authors: Georgiou Konstantina , Lievens Filip 
Published: February 2022

PurposeThe paper aims to expand the authors' knowledge on gamification and the signals sent on behalf of the organization when gamified assessments are used. The authors examine the mechanisms through which the use of gamification into an assessment method may increase the attractiveness of an organization as a prospective employer.Design/methodology/approachThe first study examines, following a longitudinal design, the signals that an organization sends to applicants about the organization's symbolic traits (e.g. innovativeness), through the characteristics of a gamified assessment, in terms of enjoyment and flow and impact on organizational attractiveness. Upon clarifying this mechanism, the second study uses an experimental design to provide evidence that people's perceived enjoyment and flow is enhanced when a gamified version of a situational judgment test (SJT) is used, leading to more positive perceptions of organizational characteristics and attractiveness.FindingsPositive perceptions of the characteristics of a gamified assessment influenced the attractiveness of the organization via the symbolic organizational traits.Practical implicationsOrganizations should be aware of the signals sent to applicants when different assessment formats (such as gamified assessments) are used.Originality/valueThe authors' findings contribute to gamification and signaling theory by testing a signaling mechanism in a novel and timely assessment context.
Strategies for risk management in adopting Industry 4.0 concept in manufacturing industries
Authors: Pasi Bhaveshkumar Nandanram , Mahajan Subhash K. , Rane Santosh B. 
Published: February 2022

Purpose
This paper aims to concentrate on classifying and analyzing the risks associated with the Industry 4.0 (I4.0) concept in manufacturing industries and developing strategies for managing risks.

Design/methodology/approach
In this research paper, risks categories and their sub-components associated with the I4.0 concept are identified by performing a systematic literature survey of peer-reviewed journal articles and taking inputs from industry experts and academicians. Then, the importance of the identified risks and causal relations among risks are analyzed by using decision-making trial and evaluation laboratory (DEMATEL) method. Finally, the strategies are developed to mitigate the identified risks.

Findings
From the literature survey, 6 risk categories and their 19 sub-components associated with the I4.0 concept are identified. The DEMATEL method resulted in economic risks and technical risks as the top two risk categories in the I4.0 concept. Ecological risks and legal and political risks are relatively low-ranked risk categories.

Research limitations/implications
Causal relations and ranking among risk categories and their sub-components are obtained by analyzing responses received through questionnaires. There are other methods also available for risk analysis, which are beyond this study.

Practical implications
This research paper will help the industrialists to effectively manage the risks involved in adopting I4.0 concept in manufacturing industries by adopting strategies.

Originality/value
This research paper gives an idea about risks associated with the implementation of the I4.0 concept in manufacturing industries. Also, this paper uses the DEMATEL method for ranking the identified risk categories and their sub-components.
Environmentally responsible behaviour in outdoor recreation: the moderating impact of COVID-19 related risk perception
Authors: Chi Nguyen Thi Khanh 
Published: February 2022

PurposeThis study examines the mediating role of motivation on outdoor recreation on the attitude–behavior and social marketing–behavior linkages. The paper scrutinizes the moderating impact of coronavirus disease 2019 (COVID-19) risk perception in transforming individual motivation on nature-based outdoor recreation into environmentally responsible behavior.Design/methodology/approachData were collected and conducted in Vietnamese National Parks. The dataset consists of 900 valid responses by domestic travelers. The research was operationalized using empirical data and employed structural equation modeling (SEM) and SPSS PROCESS analysis.FindingsFirst, this study confirms that outdoor recreation activities and business's marketing on social networks tend to transform into support for individual behavior in terms of protecting environment and having responsibility for environment. Second, the current paper also represents the academic efforts to contribute to outdoor recreation literature by explaining the current global problem that has caused serious upheaval in global society as well as individual life. The findings not only confirmed the mediating role of nature-based outdoor recreation motivation between attitude and behavior, but also examined the moderating effect of COVID-19 risk perception in the relationship between motivation and behavior.Originality/valueThe findings indicate the significant association of social marketing, environment attitudes, outdoor recreation motivation and environmentally responsible behavior. The findings not only confirmed the mediating role of nature-based outdoor recreation motivation between attitude and behavior, but also examined the moderating effect of COVID-19 risk perception in the relationship between motivation and behavior. These results provide key insights about examining visitors' behavior for environment protection during future infectious disease outbreaks.
Research on pricing strategy of online education products considering consumers' matching degree and price comparison behavior
Authors: Zhang Xiaonan , Gu Xiubin , Qu Yi 
Published: February 2022

PurposeThe uncertainty of consumers' perceived value makes online education enterprises face great challenge in developing the pricing strategy. So the purpose of this paper is to research the pricing strategies of online education products by considering knowledge consumers' characteristics.Design/methodology/approachConsidering consumer matching degree and price comparison, this study establishes the utility functions of consumers in normal sales period and discount selling period. On this basis, the research builds pricing models of the online education enterprise under the strategy of price undertaking and intertemporal pricing strategy. It further discusses the impact of consumer matching degree, consumer price sensitivity and different types of consumers on the product price and profit of online education enterprises, and reveals the optimal pricing strategy of the enterprise.FindingsConsumer matching degree and price sensitivity coefficient have positive effects on product price and enterprise profit, but they have different effects on product demand; there are differences in the perceived value of the three types of consumers, and matching consumers are the optimal consumer group; the intertemporal pricing strategy is better than the strategy of price undertaking only when the price sensitivity coefficient is greater than a critical value.Originality/valueThis study enriches the literature on the pricing model of online education products and owns a practical significance to guide the online enterprise to make marketing strategies to increase profit.
A new group decision-making method with incomplete intuitionistic multiplicative preference relations
Authors: Lu Xiao Yun , Li Hecheng , Hao Qiong 
Published: February 2022

PurposeConsistency and consensus are two important research issues in group decision-making (GDM). Considering some drawbacks associated with these two issues in existing GDM methods with intuitionistic multiplicative preference relations (IMPRs), a new GDM method with complete IMPRs (CIMPRs) and incomplete IMPRs (ICIMPRs) is proposed in this paper.Design/methodology/approachA mathematically programming model is constructed to judge the consistency of CIMPRs. For the unacceptably consistent CIMPRs, a consistency-driven optimization model is constructed to improve the consistency level. Meanwhile, a consistency-driven optimization model is constructed to supplement the missing values and improve the consistency level of the ICIMPRs. As to GDM with CIMPRs, first, a mathematically programming model is built to obtain the experts' weights, after that a consensus-driven optimization model is constructed to improve the consensus level of CIMPRs, and finally, the group priority weights of alternatives are obtained by an intuitionistic fuzzy programming model.FindingsThe case analysis of the international exchange doctoral student selection problem shows the effectiveness and applicability of this GDM method with CIMPRs and ICIMPRs.Originality/valueFirst, a novel consistency definition of CIMPRs is presented. Then, a consistency-driven optimization model is constructed, which supplements the missing values and improves the consistency level of ICIMPRs simultaneously. Therefore, this model greatly improves the efficiency of consistency improving. Experts' weights determination method considering the subjective and objective information is proposed. The priority weights of alternatives are determined by an intuitionistic fuzzy (IF) programming model considering the risk preference of experts, so the method determining priority weights is more flexible and agile. Based on the above theoretical basis, a new GDM method with CIMPRs and ICIMPRs is proposed in this paper.
A quantitative review of LIS programs accredited by ALA and CILIP under contemporary technology advancement
Authors: Yew Andrew Chean Yang , Chiu Dickson K.W. , Nakamura Yuriko , Li King Kwan 
Published: February 2022

PurposeAdvancements in technology have led to many changes in the field of Library and Information Science (LIS). As global communications and technology continue to become more available and sophisticated, LIS programs need to prepare students for employment in rapidly changing and globalized LIS professions.Design/methodology/approachData from a total of 63 programs from the American Library Association (ALA) and 32 programs from the Chartered Institute of Library and Information Professionals (CILIP) was collected through openly accessible websites of these programs. Areas explored include program name, name and level of the academic unit offering the program, credit hours, required courses, percentage of required courses and capstone measurements used within the different LIS programs.FindingsA majority of programs still preserve the keyword “Library” in their name, but not the academic units offering them. Most programs in ALA and CILIP follow a semester-based program. Research methods, internships, practical experience, combined with traditional library core and information technology requirements were found to constitute the major subjects in general. Comprehensive exams were replaced by e-portfolios among ALA programs while a dissertation remains the preferred choice of capstone requirement for CILIP.Originality/valueScant studies compare accredited LIS programs worldwide, motivating the study of the similarities, differences and trends of LIS programs under the current globalized technology-driven knowledge economy. This paper seeks to fill the literature gap and promote a global discussion and understanding of LIS curricula in different regions of the world, guiding potential students to select their suitable LIS programs.
Enhancing customer satisfaction with chatbots: the influence of anthropomorphic communication styles and anthropomorphised roles
Authors: Xu Ying , Zhang Jianyu , Chi Rui , Deng Guangkuan 
Published: February 2022

Purpose
Chatbots are increasingly used in online retail settings and are becoming a powerful tool for brands to engage customers. However, consumers’ satisfaction with these chatbots is mixed. Thus, this paper aims to investigate how using a social- versus task-oriented anthropomorphic communication style can improve customer satisfaction.

Design/methodology/approach
The authors explore the link between the anthropomorphic communication style use and customer perceptions/customer satisfaction in online customer service interactions. Two experiment scenarios were developed to test these links.

Findings
Overall, using a social-oriented communication style boosts customer satisfaction. Warmth perception of the chatbot mediates this effect, while chatbot’s anthropomorphised role (servant versus partner) moderates this effect.

Originality/value
This paper enriches the bilateral communication literature by extending the investigation on communication style effects to chatbot service interactions and revealing the psychological process driving the impacts. It also adds to the existing literature on chatbots as a customer service and contributes to the prominent topic examining how consumers react to artificial intelligence that is used to establish and maintain a relationship with them. Additionally, the authors also make contribution to the warmth and competence literature by demonstrating that customers can interpret social cues in chatbot service interactions mainly based on the warmth dimension. Thus, the authors further add to the growing chatbot humanness perception literature and respond to the calls for investigating more anthropomorphic design cues to enhance chatbot humanness. Finally, the authors also provide a way to help reconcile seemingly conflicting prior findings.