Search results

The purpose of this study is to highlight and demonstrate how the study of stress and related responses in construction can best be measured and benchmarked effectively.

A range of perceptual and physiological measures are obtained across different time periods and during different activities in a fieldwork setting. Differences in the empirical results are analysed and implications for future studies of stress discussed.

The results of this study strongly support the use of multiple psychometrics and biosensors whenever biometrics are included in the study of stress. Perceptual, physiological and environmental factors are all shown to act in concert to impact stress. Strong conclusions on the potential drivers of stress should then only be considered when consistent results apply across multiple metrics, time periods and activities.

Stress is an incredibly complex condition. This study demonstrates why many current applications of biosensors to study stress in construction are not up to the task and provides empirical evidence on how future studies can be significantly improved.

To the best of the author’s knowledge, this is the first study to focus explicitly on demonstrating the need for multiple research instruments and settings when studying stress or related conditions in construction.

The purpose of this study was to analyze importance of artificial intelligence (AI) in education and its emphasis on assessment and adversity quotient (AQ).

The study utilizes a systematic literature review of over 141 journal papers and psychometric tests to evaluate AQ. Thematic analysis of quantitative and qualitative studies explores domains of AI in education.

Results suggest that assessing the AQ of students with the help of AI techniques is necessary. Education is a vital tool to develop and improve natural intelligence, and this survey presents the discourse use of AI techniques and behavioral strategies in the education sector of the recent era. The study proposes a conceptual framework of AQ with the help of assessment style for higher education undergraduates.

Research on AQ evaluation in the Indian context is still emerging, presenting a potential avenue for future research. Investigating the relationship between AQ and academic performance among Indian students is a crucial area of research. This can provide insights into the role of AQ in academic motivation, persistence and success in different academic disciplines and levels of education. AQ evaluation offers valuable insights into how individuals deal with and overcome challenges. The findings of this study have implications for higher education institutions to prepare for future challenges and better equip students with necessary skills for success. The papers reviewed related to AI for education opens research opportunities in the field of psychometrics, educational assessment and the evaluation of AQ.

This study examined the psychometric properties of intention to drop out and study satisfaction measures for first-year South African students. The factorial validity, item bias, measurement invariance and reliability were tested.

A cross-sectional design was used. For the study on intention to drop out, 1,820 first-year students participated, whilst 780 first-year students participated in the study on satisfaction with studies. Confirmatory factor analysis (CFA), differential item functioning (DIF), measurement invariance and internal consistency were used to test the scales.

A one-factor structure was confirmed for both scales. For the intention to drop out scale, Items 3 and 4 were identified with statistically significant item bias; however, these differences had no practical impact. Except for scalar invariance for language, sufficient measurement invariance was established. No problematic items were identified for the study satisfaction scale.

In essence, this study provides evidence of two short measures that are culturally sensitive that could be used as short and valid measures across contextual boundaries as practically valuable tools to measure intention to drop out and study satisfaction in diverse and multicultural contexts.

This study contributes to limited research on bias and invariance analyses for scales that can be used in interventions to identify students at risk of leaving the university and utilising psychometric analyses to ensure the applicability of these two scales in diverse and multicultural settings.

The aim of this study was the development and validation (D&V) of an assessment tool to measure administrators' attitudes towards the ‘Apprenticeship Embedded Degree Program (AEDP)’ in higher education institutions (HEIs).

A rigorous empirical method was followed encompassing four D&V phases: literature review, theoretical or face validation, validation with possible respondents or semantic validation and statistical validation. A pilot study was conducted among 150 randomly selected administrators from 50 different HEIs in India. The collected data were analyzed for statistical validation using exploratory factor analysis followed by confirmatory factor analysis.

The final version of the 21-item three-dimensional scale was found effective having significant degrees of reliability and validity. Exploratory factor analysis endorsed the factor extractions and data adequacy. The average variance extracted (AVE) for the three constructs (0.59, 0.70 and 0.66, respectively) were higher than the threshold value of 0.5, authorizing the convergent validity. The Cronbach alpha values (0.79, 0.81 and 0.77) were higher than the threshold value of 0.70, endorsing factors as reliable. Confirmatory factor analysis ascertained the multi-dimensionality of the scale and model fit having passable convergent validity. Discriminant validity (DV) was determined using the Fornell-Larcker criterion.

The newly developed “Administrators’ Attitude towards AEDP Scale” will serve as a valid psychometric tool for future research accosting AEDP implementation. It could be administered as an electronic tool as well, subject to potential adjustments reducing the identified ceiling effects and floor effects.

The scale is a unique addition to the allied literature based on an original empirical survey finding conducted in India.

This study aims to explore credit scoring regulations, governance, variables and methods used by peer-to-peer (P2P) lending platforms in key players of the Association of Southeast Asian Nations (ASEAN) region’s P2P, Indonesia, Malaysia and Singapore.

This study explores the P2P Lending characteristics of the three countries using qualitative literature review, interview, focus group discussion and desk research.

This study concludes that the credit scoring variables used by the countries’ companies are almost the same. Key drivers of the differences are countries’ regulations, management/business core value and credit scoring data processing methods.

Ultimately, this research provides a comprehensive view for investors, businesses and researchers on the topic of ASEAN credit scoring governance and will help them navigate the complexities and improve their awareness on the importance of credit scoring governance in P2P lending companies.

This research provides an in-depth perspective on how P2P lending companies, credit scoring governance and regulations in the biggest three countries in Southeast Asia.

Organizational citizenship behavior (OCB) was initially described as discretionary behavior not formally rewarded by the organization. However, empirical evidence has indicated that many non-task behaviors are compulsory and contribute to performance evaluation, leading to research on nondiscretionary OCB (e.g. compulsory citizenship, citizenship pressure). It is unclear whether these behaviors are best described as OCB, in-role behavior or a separate construct. The goal of the current study is to determine the conceptual and measurement overlap between OCB and nondiscretionary OCB.

In a quantitative survey design, we collected multiphasic data from 315 employees to provide evidence for the convergent/divergent validity of compulsory citizenship behavior within the OCB nomological network and separate from in-role behavior.

The results support a unique contribution of compulsory citizenship behavior to the operationalization of OCB by emphasizing the employees’ perceptions of whether they perform OCB autonomously.

This research shows a distinction that should be recognized in future research, as existing OCB theories may only apply to discretionary OCB, such that compelled citizenship is not OCB. This would explain why compulsory OCB incurs less benefits than other forms of externally-motivated (i.e. impression management) OCB.

The purpose of this empirical study was to test whether presenting organizational change in a way that enhances employee self-worth will result in increased employee support for the identified change. In doing so, we developed a new measure, which includes a novel baseline element.

Items were developed, and then categorical validation data were collected through an online cross-sectional survey in which 222 respondents (adults over 18 years of age, and at least 6 months tenure) participated.

Within the items, we framed the activation of self-worth bias as requests for employee comments regarding change efforts. Results indicate there is a difference between asking for employee comment on change efforts, compared to asking for employee comment on change efforts and also providing feedback considerate of that input.

This study explores and presents a convergence between behavioral economics, management and applied psychology research – using both self-worth bias, and organizational change management communications; no other such comparable study or analysis could be found during the preparation of this research effort. Furthermore, a novel measure and innovative method is presented for developing and measuring self-worth bias during organizational change management communications.

The study examined the relationship between e-learning usage, creativity, e-learning utility and academic performance among undergraduate (UG) and postgraduate (PG) students at Banaras Hindu University (BHU), India.

The data from 480 students were collected using a cross-sectional survey design. Pearson correlation analysis was performed in order to investigate the association between the variables.

The results revealed a significant positive correlation between time of use and academic performance (r = 0.294, p < 0.01). However, there was no significant correlation between time of use and the usability of e-learning in the attainment of learning outcomes. Furthermore, there was a negative correlation between time of use and creativity (r = −0.170, p < 0.01).

The results indicate that educators ought to promote consistent utilization of e-learning platforms to enhance scholarly achievements. However, learners should exercise prudence in their usage, as an over-reliance on these platforms may impede their creativity.

This study contributes to the existing body of knowledge regarding the impacts of e-learning on students' academic performance and creativity. Additionally, it offers instructing professionals and students who make use of e-learning platforms information that might be helpful to them.