scholarly journals Development of a Thai gaming disorder scale for children and adolescents

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wimonrat Wanpen ◽  
Pinyo Itsarapong ◽  
Sankamon Gornnum ◽  
Jintana Yunibhand
Keyword(s):  
Factor Analysis ◽  
Children And Adolescents ◽  
Medical Staff ◽  
Critical Item ◽  
Future Research ◽  
Gaming Disorder ◽  
Content Type ◽  
Sample Group ◽  
Group Score ◽  
Game Addiction

PurposeThis study aimed to develop the Thai gaming disorder scale (T-GDS) in children and adolescents to serve medical staff and investigate the effectiveness of the scale.Design/methodology/approachThis is a research and development study. In total, 217 participants were children and adolescents between 8–18 years, then classified into four groups according to Children's Global Assessment Scale (CGAS). The T-GDS was developed; its content validity was then investigated by three experts. Mock assessment was conducted on 15 individuals replicating the actual sample group before the assessment was tested on the sample group by two medical staff. The quality of the scale is assessed through reliability, validity and cut-off point analysis.FindingsExploratory factor analysis (EFA) extracted four components with 18 items meeting the criteria and have Cronbach's alpha of 0.95. The analysis of ROC curve, to determine the cut-off point, associated the mild game addiction group with T-GDS score = 14; moderate group score = 28; and severe group score = 42.Research limitations/implicationsInvestigation of cut-off point by practitioners is vital to compare whether it aligns with the point determined by doctors in game addiction diagnosis. Future research should select critical item in order to reduce the number of questions and construct validity should be examined using confirmatory factor analysis.Originality/valueThis paper provides a comprehensive insight regarding severity of game addiction based on related criteria. As a result, treatment appropriate for each type of severity could be enhanced.

scholarly journals Multi‐dimensional nature of service innovation

2011 ◽  
Vol 31 (11) ◽  
pp. 1164-1192 ◽  
Author(s):  
Renu Agarwal ◽  
Willem Selen
Keyword(s):  
Factor Analysis ◽  
Empirical Data ◽  
Structural Equation ◽  
Service Innovation ◽  
Telecommunications Industry ◽  
Equation Model ◽  
Future Research ◽  
Extensive Literature ◽  
Service Network ◽  
Content Type

PurposeInnovation in services is thought to be multi‐dimensional in nature, and in this context the purpose of this paper is to present and operationalise the concept of “elevated service offerings” (ESO) in collaborating service organisations. ESO stands for new or enhanced service offerings which can only be eventuated as a result of partnering, and which could not be delivered on individual organisational merit. ESO helps us expand our understanding of service innovation to include a service network or service system's dimension.Design/methodology/approachA structural equation model is specified and estimated based on constructs and relationships grounded in the literature, as well as self‐developed constructs, using empirical data from 449 respondents in an Australian telecommunications service provider (SP) and its partnering organisations.FindingsResults show that ESO is a multi‐dimensional construct which was operationalised and validated through an extensive literature review, exploratory factor analysis, confirmatory factor analysis, and structural equation modelling using a holdout sample.Research limitations/implicationsQualitative and empirical data analysis was undertaken with data collected from a single large telecommunications SP organisation, and its partnering organisations. Future research may seek to collect data from the entire telecommunications industry sector and their partnering organisations, across other service sectors, or even any other organisation where collaboration is pivotal to their success.Practical implicationsService organisations today need to understand that innovation in services is not just about process or product innovation, or even performance and productivity improvements, but in fact includes organisational forms of innovation. Indeed, the interactions and complementarities between the three different aspects of ESO – strategic, productivity, and performance – highlight the increasing complex and multi‐dimensional character of innovation and the ongoing iterative process.Originality/valueThis research provides empirical evidence for the existence of a multi‐dimensional innovation in services construct – known as elevated service offerings in a collaborative service network, along with an adapted definition of service and a service innovation model.

Exemplary followership. Part 1: refining an instrument

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tim O. Peterson ◽  
Claudette M. Peterson ◽  
Brian W. Rook
Keyword(s):  
Factor Analysis ◽  
Organizational Citizenship ◽  
Organizational Citizenship Behavior ◽  
Organizational Citizenship Behaviors ◽  
Citizenship Behavior ◽  
Future Research ◽  
Citizenship Behaviors ◽  
Content Type ◽  
The Usa ◽  
The Impact

Purpose The overall purpose of this paper is to determine to what extent organizational citizenship behaviors predict followership behaviors within medical organizations in the USA. This is the first part of a two-part article. Part 1 will refine an existing followership instrument. Part 2 will explore the relationship between followership and organizational citizenship. Design/methodology/approach Part 1 of this survey-based empirical study used confirmatory factor analysis on an existing instrument followed by exploratory factor analysis on the revised instrument. Part 2 used regression analysis to explore to what extent organizational citizenship behaviors predict followership behaviors. Findings The findings of this two-part paper show that organizational citizenship has a significant impact on followership behaviors. Part 1 found that making changes to the followership instrument provides an improved instrument. Research limitations/implications Participants in this study work exclusively in the health-care industry; future research should expand to other large organizations that have many followers with few managerial leaders. Practical implications As organizational citizenship can be developed, if there is a relationship between organizational citizenship and followership, organizations can provide professional development opportunities for individual followers. Managers and other leaders can learn how to develop organizational citizenship behaviors and thus followership in several ways: onboarding, coaching, mentoring and career development. Originality/value In Part 1, the paper contributes an improved measurement for followership. Part 2 demonstrates the impact that organizational citizenship behavior can play in developing high performing followers.

The relationship between EFQM enablers and business performance

2019 ◽  
Vol 30 (4) ◽  
pp. 684-706 ◽  
Author(s):  
Dimitrios Kafetzopoulos ◽  
Katerina Gotzamani ◽  
Dimitrios Skalkos
Keyword(s):  
Factor Analysis ◽  
Quality Management ◽  
Business Performance ◽  
Innovation Performance ◽  
Equation Modeling ◽  
Future Research ◽  
Content Type ◽  
Mediating Role ◽  
Efqm Model

PurposeThe purpose of this paper is to examine the extent to which the five European Foundation for Quality Management (EFQM) model enablers, as the latent factor “enabler excellence,” are associated with business performance, taking into consideration the mediating role of innovation in this relationship.Design/methodology/approachThe analysis followed in order to investigate the relations among the various constructs of the proposed model includes an initial exploratory factor analysis, followed by confirmatory factor analysis and finally structural equation modeling.FindingsAccording to the study findings, “enabler excellence” and innovation performance directly contribute to business performance. Moreover, this paper concludes that innovation performance partially mediates the effect of excellence enablers on business performance.Research limitations/implicationsThis study does not separate between radical and incremental innovation; thus, it would be very interesting to explore this issue in future research. Moreover, it might be useful for researchers to reassess the proposed relationships examining the mediating role of organizational culture.Practical implicationsThis study offers clear implications for managers, proving that they should give higher emphasis on quality management (QM) and the four dimensions of innovation in order to achieve increased performance.Originality/valueBased on the multidimensional structure of the EFQM model, this empirical study determines the contribution of QM to business performance taking into consideration the role of innovation performance as a mediator in this relationship.

scholarly journals Measuring hotel employee perceived job risk: dimensions and scale development

2020 ◽  
Vol 32 (2) ◽  
pp. 730-748 ◽  
Author(s):  
Chaowu Xie ◽  
Jiangchi Zhang ◽  
Yanying Chen ◽  
Alastair M. Morrison ◽  
Zhibin Lin
Keyword(s):  
Factor Analysis ◽  
Risk Perceptions ◽  
Safety Management ◽  
Risk Identification ◽  
Measurement Scale ◽  
Future Research ◽  
Measurement Tool ◽  
Content Type ◽  
Hotel Employees ◽  
Risk Dimensions

Purpose The main purpose of this study is to identify the dimensions of hotel employees’ job risk perceptions and develop a measurement scale for this construct. Design/methodology/approach Four studies using a mixed-method design were conducted to develop and validate the scale of hotel employees’ perceived job risk (HEPJR). Study 1 identified the dimensions and initial items of HEPJR through a literature review and in-depth interviews. In Study 2, an explanatory factor analysis was perform to refine the preliminary items. Study 3 further refined the HEPJR scale through a confirmatory factor analysis. Study 4 confirmed that HEPJR is a 19-item scale through a cross-validation analysis. Findings A reliable and valid scale was developed to measure the following five dimensions of HEPJR: perceived human, equipment, internal environment, external environment and management risks. HEPJR and its dimensions significantly predict negative safety consequences and negative job satisfaction. Research limitations/implications Employees in medium- and high-star-rated hotels in China were surveyed. Future research should test the HEPJR scale in other types of lodging formats (e.g. budget hotels, homestays and cruise ships) and different countries or regions. Practical implications Given the increasingly serious job risks faced by hotel employees, the HEPJR scale can become a benchmark for job risk identification, accident prevention and safety management. Originality/value This scale provides a clear conceptualization and an appropriate measurement tool of HEPJR from a risk-source perspective.

Development and validation of counterproductive work behaviour instrument

2019 ◽  
Vol 28 (3) ◽  
pp. 745-763
Author(s):  
Khahan Na-Nan ◽  
Peerapong Pukkeeree ◽  
Ekkasit Sanamthong ◽  
Natthaya Wongsuwan ◽  
Auemporn Dhienhirun
Keyword(s):  
Factor Analysis ◽  
Convergent Validity ◽  
Three Dimensions ◽  
Measurement Scale ◽  
Future Research ◽  
Content Type ◽  
Study Results ◽  
Confirmatory Factor ◽  
Counterproductive Work Behaviour ◽  
Development And Validation

Purpose Counterproductive work behaviour (CWB) is a type of behaviour of an individual that works against an organisation or employer, and he/she is usually discretionary (i.e. individuals make conscious choices as to whether they want to commit aberrant work behaviour). To deal with CWB in different contexts, organisations need to both understand and continually measure their employees in terms of behaviour and work. This study aims to develop an instrument to measure CWB for small and medium-sized enterprises in Thailand. Design/methodology/approach The study was conducted in three stages to develop a measurement scale for CWB. First, 27 questions were developed as a questionnaire based on concepts and theories of CWB and then verified using exploratory factor analysis with three CWB dimensions, namely “poor behaviour”, “misuse of organisational resources” and “inappropriate communication”. The questionnaire surveyed a total of 386 individuals working in SMEs. Finally, confirmatory factor analysis (CFA) and convergent validity were examined following the three CWB dimensions. Findings Three dimensions were developed to measure CWB, including aspects of poor behaviour, misuse of organisational resources and inappropriate communication. Practical implications The CWB questionnaire has practical use for assessing employee behaviour and can assist organisations and practitioners to better understand the CWB of employees. This know-how will help practitioners to assess employee behaviour and can be used to manage or develop this into good behaviour as valued members of the organisation. Originality/value The validity of the CWB questionnaire questions will facilitate the future research on the boundaries with CWB assessments spanning different SMEs contexts. Empirical study results validated that CWB measurement offered new perspectives to explore vital employee behavioural deviation that are necessary for the inspection employee behavioural deviation. This instrumental support will also help researchers to effectively understand CWB and explore its potential in future studies.

Key training practice indicators for optimal site supervisors’ utilisation in construction firms

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Irewolede Aina Ijaola ◽  
Godwin Iroroakpo Idoro ◽  
Michael Gbolagade Oladokun
Keyword(s):  
Factor Analysis ◽  
Construction Projects ◽  
Future Research ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Content Type ◽  
Construction Firms ◽  
Site Supervisors ◽  
Optimal Site ◽  
Training Practice

Purpose The skills and knowledge of site supervisors play an important role in the outcome of construction projects. Evidence gleaned from the literature indicates that poor performance of construction projects remains a central concern for stakeholders in the construction sector. This suggests that the site supervisor’s training is important in the construction project outcomes. Various training programmes are available for site supervisors, yet construction firms are not satisfied with them. The purpose of this study is to determine the key training practice indicators for optimal site supervisor’s usage in construction firms. Design/methodology/approach This study adopts a cross-sectional survey research design. In the approach, exploratory factor analysis and confirmatory factor analysis were used to determine the key training practice indicators for site supervisors. Data were collected from 218 construction site supervisors using a questionnaire. Findings Findings show that training practices are a multidimensional concept consisting of training needs assessment, training delivery, training evaluation and transfer. From the 50 training practice variables, this study establishes 12 key training practice indicators for training site supervisors in construction firms. Research limitations/implications Future research should adopt a longitudinal survey for examining training practices in construction firms. Practical implications The identified key training indicators can inform the policies and practices used in the training of site supervisors. Originality/value This study contributes to knowledge by establishing 12 significant training practice indicators for optimal site supervisors’ usage in construction firms.

Quality 4.0 – a measurement model using the confirmatory factor analysis (CFA) approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
G.S. Sureshchandar
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Industry 4.0 ◽  
Research Work ◽  
Reliability And Validity ◽  
Measurement Model ◽  
Future Research ◽  
Content Type ◽  
Formidable Challenge ◽  
Confirmatory Factor

PurposeThe disruptions caused by new-age technologies of Industry 4.0 are posing a formidable challenge to researchers, academicians and practitioners alike. Quality 4.0 that depicts the role of the quality function in the Industry 4.0 scenario must be comprehended so that the rudiments of Quality 4.0 are understood properly, and interventions can be made to embrace the new normal. As the literature on Quality 4.0 is extremely scarce, empirical studies are mandatory to augment the process of theory building.Design/methodology/approachThe research work identifies 12 axes of the Quality 4.0 revolution based on literature review and insights from experts. Subsequently, a measurement model is formulated and an instrument to measure the level of Quality 4.0 implementation is developed. The measurement model has been checked for model fit, reliability and validity using the confirmatory factor analysis approach.FindingsThe proposed model was found to be adequate, reliable and valid and concludes that though technology plays a significant role in the development of the Quality 4.0 system, aspects of traditional quality are very much apropos to transform to the next frontier of quality.Research limitations/implicationsImplications for future research are provided which would help to further explore the nascent field of Quality 4.0.Practical implicationsThis research would help the practitioners better understand the various requirements and measure the degree of implementation of a Quality 4.0 system.Originality/valueThe present research is perhaps the first of its kind in propounding a measurement model, through empirical analysis, for the betterment of the understanding of Quality 4.0 and its associated constituents.

A confirmatory factor analysis of the challenges of effective management of construction workforce in South Africa

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lerato Millicent Aghimien ◽  
Clinton Ohis Aigbavboa ◽  
Chimey Anumba ◽  
Wellington Didibhuku Thwala
Keyword(s):  
South Africa ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
High Reliability ◽  
Working Environment ◽  
Future Research ◽  
Mixed Method Research ◽  
Effective Management ◽  
Content Type ◽  
Confirmatory Factor

Purpose The South African construction industry (SACI) is a huge employer of labour as the industry depends mostly on human resources to carry out its activities. However, the industry has also been noted for its poor workforce management and lack of attention to human resource management (HRM) issues. Therefore, this study aims to assess the challenges facing the effective management of the construction workforce in South Africa with a view to improving HRM activities in the industry and improve overall service delivery through an effectively managed workforce. Design/methodology/approach A pragmatic philosophical view using a mixed-method research design was adopted. The study’s qualitative strand was achieved through a Delphi, whilst the quantitative strand was achieved through a questionnaire survey. In addition, descriptive and inferential statistics such as mean item score, Kruskal-Wallis H-test, exploratory and confirmatory factor analysis were adopted for data analysis. Findings With high reliability, construct validity and model fit indices, the study found that for effective HRM to be attained within construction organisations, careful attention must be given to issues surrounding the nature of the industry, unhealthy working environment, employee-related issues, diversity and working condition in the industry. Originality/value Whilst several studies have been conducted on HRM, there is a lack of studies on the major challenges facing effective HRM in the SACI. The findings also offer future research studies a good theoretical platform to build upon.

Multidimensional credit attitude and credit card debt behavior in the United States

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jae Min Lee ◽  
Yoon G. Lee
Keyword(s):  
Factor Analysis ◽  
Logistic Regression ◽  
Credit Card ◽  
Composite Index ◽  
The United States ◽  
Future Research ◽  
Credit Card Debt ◽  
Content Type ◽  
Hierarchical Logistic Regression ◽  
Debt Behavior

PurposeThe purpose of this study is to construct composite index variables of credit attitude using six attitudinal variables. This study also examines the relationship between consumer credit attitude and credit card debt behaviors.Design/methodology/approachThis study used the pooled dataset of the 2010 and 2013 Survey of Consumer Finances (SCF) released by the Federal Reserve Board. A total of 8,417 households were used as our analytic sample. The credit card indices were constructed using factor analysis with polychoric correlations. Factors of the credit card debt behaviors were estimated using hierarchical logistic regression models.FindingsThe results of factor analysis identified two credit attitude indices (wants and needs). The results of hierarchical logistic regression analyses show that the credit attitude indices have a positive influence on payment behaviors; households with more favorable attitudes about credit use for non-necessities (wants) were more likely to hold an outstanding credit card balance, have irregular payment practice and pay a revolving charge.Originality/valueAlthough there is ample documentation in the literature of credit behavior, the current literature is deficient in some areas for not addressing unobserved consumer attitudinal dispositions. Further, the separate treatment of selected survey items or an additive scale of survey items has been widely used; however, this approach cannot capture multidimensional characteristics among attitudinal items if credit attitude is not necessarily unidimensional. In response to the shortfall in the extant literature on credit card behavior, this study examined multidimensional aspects of credit attitude as a determinant of credit card debt behavior through methodological justification. Implications for future research and practitioners are provided.

Developing and testing student engagement scale for higher educational students

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ahmed Faisal Siddiqi ◽  
Muhammad Salman Shabbir ◽  
Mazhar Abbas ◽  
Arshad Mahmood ◽  
Rabia Salman
Keyword(s):  
Factor Analysis ◽  
Student Engagement ◽  
Classroom Environment ◽  
Educational Institutions ◽  
Future Research ◽  
Initial Structure ◽  
Higher Educational Institutions ◽  
Content Type ◽  
Higher Educational ◽  
Engagement Scale

PurposeThe purpose of this study is to develop and empirically test the student engagement scale and to understand the factors that contribute to student engagement at higher educational institutions.Design/methodology/approachThe investigation started with a rummage for variables, available in the literature, 59 in numbers, which were then used to collect data from a sample of university students in Lahore, Pakistan. An exploratory factor analysis (EFA) was applied to develop an initial structure of the construct. A confirmatory factor analysis (CFA) was then conducted to confirm the reliability and validity of these factors for the student engagement construct.FindingsIt has been found that factors, predominantly social and exogenous to the classroom environment, such as campus atmosphere and facilities, are more responsible for creating engagement among students at higher educational institutions of Pakistan.Originality/valueThis is one of the pioneer studies for developing a student engagement scale for measuring the students' engagement in higher educational institutions. The authors believe that the scale developed in this study contributes substantially to the student engagement literature. Limitations, future research directions and implications are discussed.

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