bluuebunny/crossref_metadata_2025_split huggingface dataset:
Examining the roles of students' beliefs and security concerns for using smartwatches in higher education
Authors: Al-Emran Mostafa , Granić Andrina , Al-Sharafi Mohammed A. , Ameen Nisreen , Sarrab Mohamed 
Published: September 2020

PurposeDespite the increased use of wearables in education, little attention has been paid to why some students are more likely to adopt smartwatches than others. The question of what impacts the adoption of smartwatches in educational activities is still neglected. In addition, the question of how security determinants can affect the adoption of smartwatches by students has not been addressed yet. Hence, this study aims to develop a theoretical model by integrating the technology acceptance model (TAM) and protection motivation theory (PMT) to study students' adoption of smartwatches for educational purposes.Design/methodology/approachQuestionnaires were distributed to university students in Malaysia. A total of 679 valid responses were collected. The collected data were analyzed using partial least squares-structural equation modeling (PLS-SEM).FindingsThe results of data analysis provide support for the proposed model. Furthermore, the findings indicated that perceived vulnerability, self-efficacy, response efficacy, response cost, ease of use and perceived usefulness have significant effects on students' behavioral intention to use smartwatches for educational purposes. In addition, perceived ease of use of smartwatches for educational purposes helps students to realize the benefits of this technology.Originality/valueThis is an original study that develops a new holistic theoretical model by combining the PMT and TAM to study the effects of ease of use, usefulness and security-related factors on the adoption of smartwatches for educational purposes. The study offers practical implications for universities and higher education institutions to improve students' learning experiences to ensure their sustainability using new and innovative ways by exploiting new technologies such as smartwatches.
Consumer default and optimal consumption decisions
Authors: Bechlioulis Alexandros P. , Brissimis Sophocles N. 
Published: September 2020

PurposeThe authors examine the optimal consumption decisions of households in a micro-founded framework that introduces endogenous default. They study default in the context of a two-period process, assuming three non-overlapping steps of non-payment: delinquency, non-performing loans and bankruptcy (default).Design/methodology/approachIn their model, the authors extend the analysis of loan default to two periods and include agent heterogeneity by considering also saving households. In the optimization problem, the authors obtain first-order conditions for borrowers who do not repay all of their loans (comparing them to those who fully repay them) and also for savers. In addition, by using nonlinear Generalized Method of Moments (GMM), they obtain consistent estimates of the household preference parameters and present the impulse responses of borrowers' consumption to demand shocks.FindingsThe authors derive an augmented consumption Euler equation for borrowers, which is a functioninter aliaof an expected default factor. They estimate this equation and find non-negligible differences in preference parameters relative to values reported in the literature. Further, an ordering by size of the household discount factors is provided empirically. Finally, the impulse responses of borrowers' consumption to a demand shock are found to last more for borrowers who do not fully repay their debts.Originality/valueThis work represents a promising line of research by introducing default in one of the basic components of DSGE models, making the latter more appropriate for analyzing monetary and macro-prudential policies.
Compensation-related institutional investor activism – a literature review and integrated analysis of sustainability aspects
Authors: Velte Patrick , Obermann Jörn 
Published: September 2020

PurposeThis paper aims to analyse whether and how different types of institutional investors influence shareholder proposal initiations, say-on-pay (SOP) votes and management compensation from a sustainability perspective.Design/methodology/approachBased on the principal-agent theory, the authors conduct a structured literature review and evaluate 40 empirical-quantitative studies on that topic.FindingsThe traditional assumption of homogeneity within institutional investors, which is in line with the principal–agent theory, has to be questioned. Only special types of investors (e.g. with long-term and non-financial orientations and active institutions) run an intensive monitoring strategy, and thus initiate shareholder proposals, discipline managers by higher SOP dissents and prevent excessive management compensation.Research limitations/implicationsA detailed analysis of institutional investor types is needed in future empirical analyses. In view of the current debate on climate change policy, future research could analyse in more detail the impact of institutional investor types on proxy voting, SOP and (sustainable) management compensation.Practical implicationsWith regard to the increased shareholder activism and regulations on SOP and management compensation since the 2007/2008 financial crisis, firms should be aware of the monitoring role of institutional investors and should analyse their specific ownership nature (time- and content-driven and as well as range of activity).Originality/valueTo the best of authors’ knowledge, this is the first literature review with a clear focus on institutional investor range and nature, shareholder proposal initiation, SOP and management compensation (reporting) from a sustainability viewpoint. The authors explain the main variables that have been included in research, stress the limitations of this work and offer useful recommendations for future research studies.
Building an initial realist theory of partnering across National Health Service providers
Authors: Aunger Justin Avery , Millar Ross , Greenhalgh Joanne , Mannion Russell , Rafferty Anne Marie , McLeod Hugh 
Published: September 2020

PurposeThe National Health Service (NHS) is facing unprecedented financial strain. These significant economic pressures have coincided with concerns regarding the quality and safety of the NHS provider sector. To make the necessary improvements to performance, policy interest has turned to encouraging greater collaboration and partnership working across providers.Design/methodology/approachUsing a purposive search of academic and grey literature, this narrative review aimed (1) to establish a working typology of partnering arrangements for improvement across NHS providers and (2) inform the development of a plausible initial rough theory (IRF) of partnering to inform an ongoing realist synthesis.FindingsDifferent types of partnership were characterised by degree of integration and/or organisational change. A review of existing theories of partnering also identified a suitable framework which incorporated key elements to partnerships, such as governance, workforce, leadership and culture. This informed the creation of an IRF of partnerships, which proposes that partnership “interventions” are proposed to primarily cause changes in governance, leadership, IT systems and care model design, which will then go on to affect culture, user engagement and workforce.Research limitations/implicationsFurther realist evaluation, informed by this review, will aim to uncover configurations of mechanisms, contexts and outcomes in various partnering arrangements and limitations. As this is the starting point for building a programme theory, it draws on limited evidence.Originality/valueThis paper presents a novel theory of partnering and collaborating in healthcare with practical implications for policy makers and practitioners.
A topic-based patent analytics approach for exploring technological trends in smart manufacturing
Authors: Wang Juite , Hsu Chih-Chi 
Published: September 2020

PurposeSmart manufacturing can lead to disruptive changes in production technologies and business models in the manufacturing industry. This paper aims to identify technological topics in smart manufacturing by using patent data, investigating technological trends and exploring potential opportunities.Design/methodology/approachThe latent Dirichlet allocation (LDA) topic modeling technique was used to extract latent technological topics, and the generalized linear mixed model (GLMM) was used to analyze the relative emergence levels of the topics. Topic value and topic competitive analyses were developed to evaluate each topic's potential value and identify technological positions of competing firms, respectively.FindingsA total of 14 topics were extracted from the collected patent data and several fast growth and high-value topics were identified, such as smart connection, cyber-physical systems (CPSs), manufacturing data analytics and powder bed fusion additive manufacturing. Several leading firms apply broad R&D emphasis across a variety of technological topics, while others focus on a few technological topics.Practical implicationsThe developed methodology can help firms identify important technological topics in smart manufacturing for making their R&D investment decisions. Firms can select appropriate technology strategies depending on the topic's emergence position in the topic strategy matrix.Originality/valuePrevious research studies have not analyzed the maturity levels of technological topics. The topic-based patent analytics approach can complement previous studies. In addition, this study provides a multi-valuation framework for exploring technological opportunities, thus providing valuable information that supports a more robust understanding of the technology landscape of smart manufacturing.
An expert system for optimizing the operation of a technical system
Authors: Muślewski Łukasz , Pająk Michał , Migawa Klaudiusz , Landowski Bogdan 
Published: September 2020

PurposeThe main purpose of the expert system presented in the paper is to support proper decision-making to perform the operation of the complex and crucial technical system in a rational way.Design/methodology/approachThe proposed system was developed using the universal concepts of a semi-Markov process, quality space and a multi-objective analysis. The maintenance and operation processes of a machine were modelled in the form of a semi-Markov process, the quality space was used to exclude the operation and maintenance process of critical quality and finally, thanks to implementation of a multi-objective analysis, the assessment system was build.FindingsBy generating each flow of the process, the expert system supports optimization of a technical system operation to choose the best maintenance strategy. Application of the expert system created based on a real industrial system is presented at the end of the paper.Research limitations/implicationsThe limitations of the proposed approach can be found in the parts of simulation and assessment. As the number of states to be taken into consideration increases, the time of calculation gets longer as well. As regards the assessment, ranges of the criteria argument have to be determined. Unfortunately, in some industrial systems, they are difficult to define or they are infinite and should be artificially limited.Practical implicationsThe system provides three most important benefits as compared to other solutions. The first benefit is the system ability to make a choice of the best strategy from the perspective of the accepted criteria. The second advantage is the ability to choose the best operation and maintenance strategy from the point of view of a decision-maker. And the third is that the decision-maker can be completely sure that the chosen way of operation is not of critical quality.Originality/valueThe novelty of the proposed solution involves the system approach to the expert system design, thanks to the described procedure which is flexible and can be easily implemented in different technical systems which have a crucial impact on reliability and safety of their operation. It is the unique combination of probability-based simulation, multi-dimensional quality considerations and multi-objective analysis.
Perceptions of young entrepreneurial aspirants towards sustainable entrepreneurship in Pakistan
Authors: Soomro Bahadur Ali , K. Almahdi Hassan , Shah Naimatullah 
Published: September 2020

PurposeThis paper aims to investigate the perceptions of young entrepreneurial aspirants towards sustainable entrepreneurship in Pakistan.Design/methodology/approachThe study is based on descriptive and cross-sectional data collected using a survey questionnaire. The study’s respondents were students, all of whom were studying for their Master’s degree of Business Administration (MBA) at several Pakistani universities (both public and private sectors). A total of 412 usable cases were used to obtain the outcomes.FindingsBy using the structural equation modeling, the findings suggest a positive and significant impact of eco-friendly people, green marketing factors, changing consumer behaviour and favourable market conditions on sustainable entrepreneurship.Practical implicationsThe study’s findings are beneficial in understanding the concept of sustainable entrepreneurship and the significant factors that may affect sustainable entrepreneurship along with the main components in social and business systems. Organizations can reinforce these factors to stimulate sustainable entrepreneurship in future studies. Thus, the study contributes to filling the research gap in the area of sustainable entrepreneurship.Originality/valueTo the best of the authors’ knowledge, this is the first study to investigate and reveal young entrepreneurial aspirants’ perceptions on sustainable entrepreneurship. The findings help in understanding the sustainable entrepreneurship concept, particularly in a developing country.
Factors affecting human capital disclosure in an integrated reporting perspective
Authors: Raimo Nicola , Ricciardelli Alessandra , Rubino Michele , Vitolla Filippo 
Published: September 2020

PurposeHuman capital (HC) represents a particularly important element capable of guiding the firms’ value creation process in the new economy. The purpose of this study is to analyze the level of HC information contained within integrated reports and to identify the variables that influence the HC disclosure policies of companies.Design/methodology/approachResearch hypotheses, developed on the basis of agency theory, were tested using a regression model on a sample of 137 worldwide companies. A HC disclosure index was designed to examine the level of HC disclosure and a content analysis was used to investigate the integrated reports.FindingsResults showed a positive and significant impact of firm size, board size, board independence and board diversity on the level of HC information disclosed by companies within their integrated reports. On the contrary, they demonstrated a not significant effect of firm profitability.Practical implicationsResults have important implications for corporate executives, high-level corporate governance, policymakers and investors. They point out additional further motivations for creating larger boards and including non-executive members and women on the board. In addition, investors could use the HC disclosure index to evaluate companies’ HC disclosure policies in their investment decisions.Originality/valueThis study extends the agency theory application scope and extends the analysis of HC disclosure to other corporate documents, namely, integrated reports. Besides, it increases knowledge about the factors capable of influencing HC disclosure, identifying a series of elements capable of directly affecting the level of information that companies disclose.
The effects of customer socialization on customer behavior in social enterprises: role of organizational legitimacy in the eyes of customers
Authors: Chen Xin , He Yuanqiong , Wang Lihua , Xiong Jie 
Published: September 2020

PurposeThe purpose of this paper is to examine how customer socialization strategies can help social enterprises (SEs) to establish different types of organizational legitimacy and how different types of organizational legitimacy in turn can encourage customers' positive in-role behavior (such as repurchasing) and extra-role citizenship behavior (such as referral, feedback and forgiveness of quality problems).Design/methodology/approachA survey of 381 customers in Chinese SEs is used to examine the research questions. The paper uses structural equation modeling and bootstrap method to analyze the hypothesized relationships among customer socialization strategies, organizational legitimacy and customers' in-role and extra-role behaviors.FindingsThis study finds that various customer socialization strategies can differentially enhance different types of organizational legitimacy of a SE, which in turn positively affects customers' in-role repeated purchase behavior and extra-role citizenship behavior. The study also finds that three types of organizational legitimacy are highly accumulative; gaining relational and market legitimacy might be a precondition for obtaining social legitimacy for SEs.Originality/valueThis study is one of the first to empirically investigate the important role of customer socialization strategies in the acquisition of different types of organizational legitimacy in the context of SEs. It also shows how different types of organizational legitimacy, in turn, can positively affect customers' in-role and extra-role behaviors. In addition, this is one of the first empirical studies to investigate the accumulative nature of three types of organizational legitimacy in SEs: relational legitimacy, market legitimacy and social legitimacy.
An improved medial axis path generation algorithm for selective laser melting
Authors: Zhang Li , Ding Linshan , Ullah Saif , Hu Tao , Xu Yangyang , Chen Li , Hanif Muhammad 
Published: September 2020

Purpose
The principle of the medial axis calculation is complicated and difficult to implement. Moreover, the accuracy is not high. Then, as the generated path has an endpoint at the boundary of the polygon, burrs may appear on the surface of the molded piece. This paper aims to improve the warpage deformation of SLM molded parts and the surface quality of molded parts, an improved mid-axis path generation algorithm is proposed.

Design/methodology/approach
First, the center point is calculated by the seed point growth method based on the distance transform, and the obtained medial axis has high precision and is suitable for simple polygons and complex polygons. Then, based on the extracted medial axis, a preliminary path is generated, the path is trimmed with MATLAB to remove the redundant path. Finally, a scan along the contour of the polygon is performed to improve the surface quality of the molded part.

Findings
The algorithm reduces the internal stress generated during the molding process by continuously changing the scanning direction of the path along the boundary curve of the scanning area, thereby reducing the amount of warpage of the molded part. The result of extraction has a higher precision and wider scope of application than other methods to extract central axis, such as the Voronoi diagram-based method. The path is trimmed to remove redundant paths and the polygon boundaries are scanned to further improve the surface quality of the molded part. The results show that warpage deformation of the proposed algorithm is significantly smaller than the other two methods, thus the forming precision is higher.

Originality/value
An improved medial axis path generation algorithm is proposed in this paper. The proposed method is applied to improve warpage deformation occurring in the SLM process. Seed point growth of distance transformation is used to extracted central axis. The result of extraction has a higher precision and wider scope of application than other methods to extract central axis, such as the Voronoi diagram-based method.
Liquidity of financial markets: a review
Authors: Tripathi Abhinava , Dixit Alok , Vipul Vipul 
Published: September 2020

PurposeThe purpose of this study is to systematically review and analyze the literature in the area of liquidity of financial markets. The study summarizes the key findings and approaches and highlights the research gaps in the extant literature.Design/methodology/approachA variety of reputed databases are utilized to select 100 research papers, from a large pool of nearly 3,000 research papers spanning between 1972 and 2018 using systematic literature review methodology. The selected research papers are organized to provide an in-depth analysis and an account of the ongoing research in the area of liquidity. The study uses bibliometric network visualization and word-cloud analyses to compile and analyze the literature.FindingsThe study summarizes the recent approaches in the liquidity research on aspects such as methodologies followed, variables applied, sub-areas covered, and the types of economies and markets covered. The article shows that the literature on liquidity in the emerging markets (e.g. China and India) is deficient. Overall, the following research areas related to liquidity need further exploration in the context of emerging markets: liquidity beyond the best bid-ask quotes, intraday return predictability using microstructure variables (e.g. order imbalances), impact of algorithmic-trading and volatility of liquidity.Originality/valueTo the best of authors’ knowledge, in the recent past, a detailed account of the literature on liquidity has not been published. It provides a comprehensive collection and classification of the literature on the liquidity of financial markets. This would be helpful to the future researchers, academics and practitioners in the area of financial markets.
Construct validity of the Child‐Initiated Pretend Play Assessment—For 3‐year‐old Brazilian children
Authors: Lucisano Renata Valdívia , Pfeifer Luzia Iara , Santos Jair Lício Ferreira , Stagnitti Karen 
Published: September 2020

AbstractIntroductionPlay is an indication of children's development and how they function. In occupational therapy it is regarded as an important occupation of childhood. Assessment of a child's play should be included in the test batteries of occupational therapists, who understand the construct validity of the assessment they have chosen. Our aim was to provide evidence of reliability, internal consistency and hypotheses testing of the construct validity of the cross‐culturally adapted version of the Child‐Initiated Pretend Play Assessment.MethodsTwo hundred typically developing Brazilian children aged 3 years were evaluated individually using the Child‐Initiated Pretend Play Assessment.ResultsThe internal consistency showed a Cronbach's alpha coefficient to Percentage of Pretend Play Actions (PEPA) of 0.86 and NOS of 0.81. There were significant differences between the younger children (aged 36–41 months) and the older children (aged 42–47 months) for elaborate play across both conventional‐imaginative play (p = .002), symbolic play (p = .012), and the combined score (p = .005). There were significant differences between younger and older girls for elaborate play with symbolic play materials (p = .009) and elaborate play overall (p = .039). There were significant differences between young and older boys for elaborate play with conventional toys (p = .006) and elaborate play overall (p = .025). There were no significant differences for object substitution or imitated actions.ConclusionThe measurement properties of the cross‐culturally adapted version of the Child‐Initiated Pretend Play Assessment for 3‐year‐old Brazilian children identified evidence for response processes, internal structure, with discussion of consequences of testing for 3‐year‐old Brazilian children.