bluuebunny/crossref_metadata_2025_split huggingface dataset:
Machine learning based pervasive analytics for ECG signal analysis
Authors: S. Aarathi , S. Vasundra 
Published: July 2021

Purpose
Pervasive analytics act as a prominent role in computer-aided prediction of non-communicating diseases. In the early stage, arrhythmia diagnosis detection helps prevent the cause of death suddenly owing to heart failure or heart stroke. The arrhythmia scope can be identified by electrocardiogram (ECG) report.

Design/methodology/approach
The ECG report has been used extensively by several clinical experts. However, diagnosis accuracy has been dependent on clinical experience. For the prediction methods of computer-aided heart disease, both accuracy and sensitivity metrics play a remarkable part. Hence, the existing research contributions have optimized the machine-learning approaches to have a great significance in computer-aided methods, which perform predictive analysis of arrhythmia detection.

Findings
In reference to this, this paper determined a regression heuristics by tridimensional optimum features of ECG reports to perform pervasive analytics for computer-aided arrhythmia prediction. The intent of these reports is arrhythmia detection. From an empirical outcome, it has been envisioned that the project model of this contribution is more optimal and added a more advantage when compared to existing or contemporary approaches.

Originality/value
In reference to this, this paper determined a regression heuristics by tridimensional optimum features of ECG reports to perform pervasive analytics for computer-aided arrhythmia prediction. The intent of these reports is arrhythmia detection. From an empirical outcome, it has been envisioned that the project model of this contribution is more optimal and added a more advantage when compared to existing or contemporary approaches.
Public leadership behaviors of school principals: does it affect teacher motivation and job satisfaction in Turkish culture?
Authors: Han Bünyamin , Tösten Rasim , Elçiçek Zakir 
Published: July 2021

PurposeThe aim of this research is to examine the public leadership (PL) behaviors of principals working in public schools and its effect on teacher motivation (M) and job satisfaction (JS). Moreover, the mediating role of JS in the relationship between PL and M is also explored.Design/methodology/approachThis research is quantitative and designed in relational survey model conducted with 327 teachers working in Siirt/Turkey in 2020. In the research, Public Leadership Scale, Teacher Motivation Scale and Minnesota Satisfaction Questionnaire were used. Descriptive analyses were used in data analysis. Moreover, mediating role of job satisfaction between public leadership and teacher motivation was tested.FindingsAccording to the results, the public leadership behaviors of school principals, motivation and job satisfaction of teachers are high according to teacher opinions. Additionally, public leadership behaviors of school principals have an effect on teacher motivation and job satisfaction. On the other hand, this study found a negative effect between public leadership and motivation when the effect of job satisfaction is controlled. The possible reasons for this situation were discussed in term of cultural differences.Practical implicationsThe results of this study imply that the leadership behaviors of school principals have cultural elements. Future research should be careful in measuring the political loyalty dimension of the public leadership and should take cultural element into consideration.Originality/valueAlthough there are many types of leadership, the type of leadership differs depending on the purpose of the organization, environmental conditions and culture. The lifestyle of the society, current developments and the structure of the organization are effective in interpreting the leadership needed in the organization. When looking at the models created about leadership in organizations, the effect of this type of leadership on organizational behavior is generally tried to be explained. This is also the case for motivation or job satisfaction. Therefore, this study also focuses on the effect of public leadership in explaining the job satisfaction and motivation of employees in educational organizations. However, another distinctive aspect of this research is that the cultural structure of the society is emphasized in the model to be created.
Did the Arab Spring lead to economic, institutional and sociopolitical changes? An empirical analysis through the perceptions of Egyptian youth
Authors: Fakih Ali , Ghazalian Pascal L. 
Published: July 2021

PurposeEgyptian youth played a central role in the Arab Spring (AS) uprisings, demanding bread, justice and opportunities. This paper examines the perceptions of young Egyptians about the AS through their responses on the economic, institutional and sociopolitical conditions in the pre-AS and post-AS periods.Design/methodology/approachThe empirical analysis relies on a micro-level dataset extracted from the SAHWA Youth Survey. The estimations are carried out through the bivariate ordered probit model.FindingsThe results reveal that the perceptions about the AS-related outcomes are not uniform, and that social values and ideological characteristics matter more than the standard socioeconomic attributes in comprehending the responses. They indicate that individuals with secularist, non-traditionalist and gender equality inclinations have generally formed more favorable perceptions about the AS-related changes. Also, the results suggest that the AS has generated propitious perceived conditions for further global connection, relative to the Arab and Islamic ties. They show that the perceptions of individuals who place credence in entrepreneurial attitude have been relatively unfavorable vis-à-vis the post-AS conditions.Originality/valueThe findings underscore the importance of comprehending the perceptions about the AS-related outcomes. They imply that the AS has produced “winners” and “losers,” and has laid down the basis for social transformations in Egypt.
Tribological properties of MoS2 powder-lubricated interface
Authors: Liu Cong , Yin Yanguo , Tong Baohong , Zhang Guotao 
Published: July 2021

Purpose
This study aims to investigate the effect of MoS2 powder on tribological properties of sliding interfaces.

Design/methodology/approach
Loose MoS2 powder was introduced in the gap of point-contact friction pairs, and sliding friction test was conducted using a testing machine. Friction noise, wear mark appearance, microstructure and wear debris were characterized with a noise tester, white-light interferometer, scanning electron microscope and ferrograph, respectively. Numerical simulation was also performed to analyze the influence of MoS2 powder on tribological properties of the sliding interface.

Findings
MoS2 powder remarkably improved the lubrication performance of the sliding interface, whose friction coefficient and wear rate were reduced by one-fifth of the interface values without powder. The addition of MoS2 powder also reduced stress, plastic deformation and friction temperature in the wear mark. The sliding interface with MoS2 powder demonstrated lower friction noise and roughness compared with the interface without powder lubrication. The adherence of MoS2 powder onto the friction interface formed a friction film, which induced the wear mechanism of the sliding interface to change from serious cutting and adhesive wear to delamination and slight cutting wear under the action of normal and shear forces.

Originality/value
Tribological characteristics of the interface with MoS2 powder lubrication were clarified. This work provides a theoretical basis for solid-powder lubrication and reference for its application in engineering.

Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-04-2020-0150/
How to be agile: the distinctive roles of IT capabilities for knowledge management and process integration
Authors: Lee One-Ki Daniel , Xu Peng , Kuilboer Jean-Pierre , Ashrafi Noushin 
Published: July 2021

PurposeThe purpose of this study is to understand how IT capabilities for knowledge management and process integration can build a firm's agile process capabilities for sensing, strategic decision and responding. The study also investigates how the three agile capabilities affect firm performance in different competitive environments.Design/methodology/approachThis study conducted a large-scale field survey with firms in the United States. Survey invitations were sent to business executives of the target firms. A total of 254 complete samples were collected for our hypotheses test.FindingsThe results confirm the overall significant roles of IT capabilities in the three agile capabilities. The results further reveal that the IT capability for knowledge management has a higher influence on sensing capability, while the IT capability for process integration has a higher influence on responding capability. Moreover, strategic decision and responding capabilities are more important in the high market competition. However, in the low market competition, sensing capability becomes more important while responding capability demonstrates a negative impact on firm performance.Originality/valueThis study helps both academics and practitioners better understand a firm's IT-agility-performance mechanism. Particularly, our findings guide how to achieve agile capabilities and what to focus on under the different levels of market competition.
Out-of-sample earnings forecasting for OLS and Theil–Sen models relative to a na.ı.ve no-change model
Authors: Francis Rick Neil 
Published: July 2021

PurposeThe purpose of this paper is to enlarge the exposure of the Theil–Sen (TS) methodology to the academic, analyst and practitioner communities using an earnings forecast setting. The study includes an appendix that describes the TS model in very basic terms and SAS code to assist readers in the implementation of the TS model. The study also presents an alternative approach to deflating or scaling variables.Design/methodology/approachArchival in nature using a combination of regression analysis and binomial tests.FindingsThe binomial test results support the hypothesis that the forecasting performance of the naïve no-change model is at least equal to or better than the ordinary least squares (OLS) model when earnings volatility is low. However, the results do not support the same hypothesis for the TS model nor do the results support the hypothesis that the OLS and TS models will outperform the naïve no-change model when cash flow volatility is high. Nevertheless, the study makes notable contributions to the literature, as the results indicate that the performance of the naïve model is at least as good as the OLS and TS models across 18 of the 20 binomial tests. Moreover, the results indicate that the performance of the TS model is always superior to the OLS model.Research limitations/implicationsThe results are generalizable to US firms and may not extend to non-US firms.Practical implicationsThe TS methodology is advantageous to OLS in that the results are robust to outlier observations, and there is no heteroscedasticity. Researchers will find this study to be useful given the use of a model (i.e. TS) which has to date received little attention, and the provision of the details for the mechanics of the model. A bonus for researchers is that the study includes SAS code for implementing the procedure.Social implicationsAwareness of alternative forecast methodologies could lead to improved forecasting results in certain contexts. The study also helps the financial community in general, as improved forecasting abilities are important for all capital market participants as they improve market efficiency.Originality/valueAlthough a healthy literature exists for examining out-of-sample forecasts for earnings, the literature lacks an answer for a simple question before pursuing additional analyses: Are the results any better than those from a naive no-change forecast? The current study emphasizes the idea that the naïve no-change forecast is the most elementary model possible, and the researcher must first establish the superiority of a more complex model before conducting further analyses.
Impact of knowledge-based organizational support on organizational performance through project management
Authors: Sepúlveda-Rivillas Claudia-Inés , Alegre Joaquin , Oltra Victor 
Published: July 2021

Purpose
The purpose of this study is to empirically investigate how knowledge-based organizational support (KOS) influences organizational performance through project management.

Design/methodology/approach
Data were obtained from a survey and from archival sources with a time lag for the dependent variable; structural equation modeling was used to analyze the data. The sample was made up of 106 organizations in Colombia, considering two key respondents from each organization: general manager and project manager.

Findings
Results show that KOS is an antecedent of project management and project performance. Furthermore, project management and project performance play a mediating role between KOS and organizational performance.

Research limitations/implications
Research limitations are the following: use of cross-sectional data with a time lag, one single unit of analysis, organizational performance analyzed only from a financial perspective. Despite these limitations, the paper puts forward relevant implications that bridge knowledge management and project management literature by clarifying the conditions under which knowledge organizational support generates a significant impact on organizational performance. Intellectual capital and knowledge management dynamic capabilities play a relevant role in this connection.

Practical implications
The findings have important practical implications: decision-makers are to allocate effectively hard and soft resources to configure a knowledge-based infrastructure, through the development of intellectual capital and knowledge management dynamic capabilities.

Social implications
The findings are generalizable to projects management in the context of non-government organizations or other social-oriented initiatives.

Originality/value
This study assumes and operationalizes organizational support from a knowledge-based perspective, represented by intellectual capital and knowledge management dynamic capabilities, providing empirical evidence of the way KOS influences organizational performance through project management and project performance.
The effect of the industry technology intensity on the drivers of manufacturing backshoring
Authors: Lampón Jesús F. , Rivo-López Elena 
Published: July 2021

PurposeThe paper aims to explore the influence of the industry technology intensity on the drivers of manufacturing backshoring.Design/methodology/approachAn analysis of backshoring factors in recent cases of backshoring in the European manufacturing industry based on original qualitative and quantitative information collected from different databases. This analysis was performed using different econometric models applied to samples of firms classified by technology intensity of industries.FindingsDrivers of backshoring are conditioned by the technology intensity of the industries. The models that analyse firms classified by technology intensity of the industries have a good explanatory capacity with few key factors. In industries with low-technology intensity, backshoring is a cost-oriented strategy and the drivers are linked to internal process optimisation and external factors related to labour and logistics costs in the host location. In industries with high-technology intensity, backshoring is mainly an innovation-oriented strategy and the key drivers are those related to the internal innovation capacity for improvement of the technological level of manufacturing processes. The research also identifies the more suitable theoretical approaches for explaining backshoring drivers in each type of industry according to its technology intensity.Originality/valueThis research analyses the backshoring drivers by means of models applied to firms classified by the technology intensity of industries. It also reinforces the dynamic perspective of time to analyse backshoring as a reassessment of location decisions made after prior offshoring.
ActS – Service design based on human activity sets
Authors: Gummerus Johanna , Mickelsson Jacob , Trischler Jakob , Härkönen Tuomas , Grönroos Christian 
Published: July 2021

PurposeThis paper aims to develop and apply a service design method that allows for stronger recognition and integration of human activities into the front-end stages of the service design process.Design/methodology/approachFollowing a discussion of different service design perspectives and activity theory, the paper develops a method called activity-set mapping (ActS). ActS is applied to an exploratory service design project to demonstrate its use.FindingsThree broad perspectives on service design are suggested: (1) the dyadic interaction, (2) the systemic interaction and (3) the customer activity perspectives. The ActS method draws on the latter perspective and focuses on the study of human activity sets. The application of ActS shows that the method can help identify and visualize sets of activities.Research limitations/implicationsThe ActS method opens new avenues for service design by zooming in on the micro level and capturing the set of activities linked to a desired goal achievement. However, the method is limited to activities reported by research participants and may exclude unconscious activities. Further research is needed to validate and refine the method.Practical implicationsThe ActS method will help service designers explore activities in which humans engage to achieve a desired goal/end state.Originality/valueThe concept of “human activity set” is new to service research and opens analytical opportunities for service design. The ActS method contributes a visualization tool for identifying activity sets and uncovering the benefits, sacrifices and frequency of activities.
Conceptualising employee involvement in service innovation: an integrative review
Authors: Engen Marit , Fuglsang Lars , Tuominen Tiina , Sundbo Jon , Møller Jørn Kjølseth , Scupola Ada , Sørensen Flemming 
Published: July 2021

PurposeEmployees are considered as important contributors to service innovation, but the literature is not unanimous about what employee involvement in service innovation entails. To advance theoretical understanding of the topic, this paper develops a conceptual framework for analysing employee involvement in service innovations, reviews existing research on the topic and proposes a research agenda.Design/methodology/approachDifferent modes of employee involvement in service innovation are distinguished based on two dimensions: (1) the intensity of employee influence on service innovation and (2) the breadth of the innovation activity in which employees are involved. This conceptual framework is abductively developed through a literature review of empirical service innovation studies to identify and analyse whether and how these modes of employee involvement are manifested in the service innovation literature.FindingsThe findings delineate six modes of employee involvement in the reviewed service innovation studies. Employees are primarily seen as having a strong influence on situated innovation activities but a limited influence on systemic innovation activities. The findings show that more research is needed to assess the connections between different modes of employee involvement.Practical implicationsThe findings can be used by practitioners to assess the possibilities different modes of employee involvement may bring to service innovation activities.Originality/valueThe proposed conceptual framework and the analysis of current research and research gaps in service innovation studies provide a clear research agenda for progressing multidimensional understanding of employee involvement in service innovation.
Vulnerability in in-vitro fertilisation transformative services: an interplay of individual and institutional factors
Authors: Robertson Nichola , Tsarenko Yelena , Polonsky Michael Jay , McQuilken Lisa 
Published: July 2021

Purpose
The purpose of this paper is to empirically examine the factors driving and mitigating the experienced vulnerabilities of women undergoing the transformative service of in-vitro fertilisation (IVF), and how this influences women’s evaluations and intentions.

Design/methodology/approach
The conceptual framework was tested using quantitative data collected via an online survey of Australian women who have undergone IVF treatment. Hayes’ PROCESS macro was used to analyse the data.

Findings
The results indicate that women’s persistent goal-striving alongside their perceived personal sacrifices influence the association between their need for parenthood and their experienced vulnerability. Institutional factors such as IVF clinic technical and interpersonal quality influence these consumers’ IVF experience evaluations and word-of-mouth (WoM) intentions.

Research limitations/implications
This study’s results are limited to women who are undergoing IVF treatment. Further empirical work is needed to deepen the understanding of the role played by partners and other family members in women’s IVF experiences.

Practical implications
IVF clinics can reduce women’s experienced vulnerability by encouraging women who have a good probability of succeeding to persist in the pursuit of the goal of conceiving a child via IVF. This can be achieved by enabling and empowering them so that they give themselves the best chance during treatment, thus facilitating their control. Managing the expectations of those women with a lower probability of success is also recommended. The importance of the technical and interpersonal quality delivered by IVF clinics in influencing the positive evaluations and behavioural intentions of women experiencing vulnerabilities is further highlighted.

Originality/value
This study contributes to the transformative service research literature by: examining the IVF transformative experience, which has been largely overlooked; focussing on the intersection of transformative services and consumers experiencing vulnerability, which is an emerging research area; and testing a framework quantitatively that intermingles individual and institutional factors as antecedents and consequences of consumers’ experienced vulnerabilities, advancing the existing conceptual and qualitative work.