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Upholding assessment ethics are common concerns during annual public examination performance appraisal. Previous studies have focused more on examination stakeholder: testees outside proctors however, assessment ethics cannot be studied excluding proctors variables therefore, the study investigated consistency of a structural equation modelling of security, environment, professionalism, testing and assessment ethics.

Ex-post facto design was adopted. Simple random sampling technique was employed to choose 90 proctors drawn from 45 colleges. Proctors Examination Ethics Questionnaire (reliability = 0.86) was used to collect data for the study. Data collected were analysed using path analysis at 0.05 significant levels.

Out of the six hypothesised paths significantly explaining the consistency of the causal model. Test security, environment and professionalism accounted for both direct and indirect effects on assessment ethics. All model fit indices were established to explain testing and assessment model.

Few proctor variables were studied, therefore assessment ethics may not be explained other than through proctor variables considered in this study.

Assessment ethics may not be violated if test security, testing environment and professionalism are not cared for during test administration as shown in the study.

It added to knowledge base in ethical areas of assessment, a 21st-century proctors in upholding testing and assessment ethics, security, environment and professionalism are to be considered.

There was a positive causal effect of security, environment and professionalism on testing and assessment ethics among proctors in public examinations.

The purpose of this paper is to assess the appropriateness of equal weights estimation (sumscores) and the application of the composite equivalence index (CEI) vis-à-vis differentiated indicator weights produced by partial least squares structural equation modeling (PLS-SEM).

The authors rely on prior literature as well as empirical illustrations and a simulation study to assess the efficacy of equal weights estimation and the CEI.

The results show that the CEI lacks discriminatory power, and its use can lead to major differences in structural model estimates, conceals measurement model issues and almost always leads to inferior out-of-sample predictive accuracy compared to differentiated weights produced by PLS-SEM.

In light of its manifold conceptual and empirical limitations, the authors advise against the use of the CEI. Its adoption and the routine use of equal weights estimation could adversely affect the validity of measurement and structural model results and understate structural model predictive accuracy. Although this study shows that the CEI is an unsuitable metric to decide between equal weights and differentiated weights, it does not propose another means for such a comparison.

The results suggest that researchers and practitioners should prefer differentiated indicator weights such as those produced by PLS-SEM over equal weights.

To the best of the authors’ knowledge, this study is the first to provide a comprehensive assessment of the CEI’s usefulness. The results provide guidance for researchers considering using equal indicator weights instead of PLS-SEM-based weighted indicators.

The purpose of this paper is to propose a soft computing model based on multi-objective evolutionary algorithm (MOEA), namely, modified micro genetic algorithm (MmGA) coupled with a decision tree (DT)-based classifier, in classifying and optimising the students’ online interaction activities as classifier of student achievement. Subsequently, the results are transformed into useful information that may help educator in designing better learning instructions geared towards higher student achievement.

A soft computing model based on MOEA is proposed. It is tested on benchmark data pertaining to student activities and achievement obtained from the University of California at Irvine machine learning repository. Additional, a real-world case study in a distance learning institution, namely, Wawasan Open University in Malaysia has been conducted. The case study involves a total of 46 courses collected over 24 consecutive weeks with students across the entire regions in Malaysia and worldwide.

The proposed model obtains high classification accuracy rates at reduced number of features used. These results are transformed into useful information for the educational institution in our case study in an effort to improve student achievement. Whether benchmark or real-world case study, the proposed model successfully reduced the number features used by at least 48 per cent while achieving higher classification accuracy.

A soft computing model based on MOEA, namely, MmGA coupled with a DT-based classifier, in handling educational data is proposed.

This study aims to analyze antecedents of students’ lack of proficiency (in preparing financial statements, cash flow statements, cost volume profit analysis and budgeting) and the need for an automated financial plan (AFP) for the course entrepreneurship creativity and innovation within Higher Educational Institutions (HEIs) in Oman.

The study used a set of four instrument items containing questionnaires to measure the variables in this study. A cross-sectional study was carried out at various universities and colleges in Oman during the year 2020, comprising 174 students from different majors. The results were analyzed using structural equation modelling-partial least squares.

The findings of the study suggest that the students in the universities and colleges should be educated and facilitated to enable them to gain more knowledge in finance/accounting through an AFP and, thus, warrants preparation of fair financial estimation for their innovative business project. A majority of students strongly support the need for implementing an AFP for their compulsory course, entrepreneurship creativity and innovation in HEIs in Oman.

This research is restricted to AFPs for the students in Oman who study the course entrepreneurship creativity and innovation. It is recommended that future study may extend to automated business plans for the students to improve their practical knowledge pertinent to the readiness of Omani students, as well as to give material transformation of internal environments in HEIs.

Unique AFP for university and college students for their compulsory course, entrepreneurship creativity and innovation provide important resources for policymakers responsible for HEIs, allowing them to improve the quality of preparing a financial plan for their innovative business ideas and new business start-ups.

There has been little discussion about the need for an AFP for the students who study the course entrepreneurship creativity and innovation. This study analyzes accounting standards as antecedents about students’ lack of proficiency towards an AFP for the course entrepreneurship creativity and innovation of universities and colleges in Oman which tries to fill this gap in the existing research. Hence, this study is considered as a novel approach that has not been broadly discussed in the earlier research.

This study aims to analyse whether and when victim incivility may be related to work-to-family conflict and then burnout among emergency workers.

A total of 304 Italian emergency workers from five firehouses and six emergency rooms completed questionnaires, examining: victim incivility, work-to-family conflict, social support seeking and burnout symptoms. Descriptive analyses, confirmatory factor analyses and structural equation models were conducted.

Victim incivility was positively associated with burnout symptoms, both directly and indirectly, as mediated by work-to-family conflict. Additionally, social support seeking exacerbated (rather than mitigated) the impact of work-to-family conflict on burnout symptoms.

Organisations can greatly benefit from implementing family-friendly practices and providing their workers with training programmes on how to deal with difficult victims.

This study contributes to the existing literature on workplace incivility and work–life interface by supporting for the first time the notion that victim incivility can spill over into emergency workers' family domain and by clarifying how and when victim incivility is related to burnout symptoms.

Because BIM adoption is still afflicted by various types of hurdles, a complete BIM implementation model is required to provide the necessary methods for driving BIM adoption. As a result, this study looked into the parts of the BIM implementation model that had the most impact on increasing the percentage of BIM adoption in South Africa.

This study developed a four-wheel model of BIM implementation based on implementation process theory, which includes BIM inspiration, BIM capacity development, BIM use and BIM commitment. To assess BIM capacity development, two sub-constructs (BIM learning process and BIM learning methodologies) were used. Two sub-constructs were used to assess BIM utilisation (efficient BIM application and effective BIM application). The sub-constructs employed to quantify BIM motivation were organisational competitiveness, societal conformity and contractual obligations. Incentives, investments and obligations were used to assess BIM commitment. The model was validated using four assumptions and maximum likelihood estimation – structural equation modelling (MLE-SEM).

The MLE-SEM results demonstrated unequivocally that all of the constructions are critical components of the BIM deployment paradigm in the South African construction industry. BIM motivation, as characterised by organisational competitiveness and social compliance, has the greatest impact. The findings on BIM motivation also revealed that the desire for technological sophistication, competitiveness and social acceptance by clients are encouraging construction organisations and professionals to embrace BIM adoption.

This study's findings have contributed to the increasing body of literature on BIM deployment. The study has significant implications for achieving BIM implementation in underdeveloped nations where BIM deployment is either non-existent or in its early stages. The theoretical component of the study serves as the foundation for further analysis of BIM deployment.

This research is important for identifying BIM goals, developing a BIM implementation framework, allocating resources for BIM implementation and defining key performance indicators for BIM implementation. The BIM implementation aspects outlined in this study will be effective in lowering BIM adoption hurdles.

This study makes a unique contribution to BIM research by providing theoretical and empirical analysis into the elements of the BIM implementation model in a developing country. The study offers an excellent opportunity to further our understanding of BIM application in underdeveloped nations.