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This paper aims to propose a new assessment system module for handling the comprehensive answers written through the answer interface.

The working principle is under three major phases: Preliminary semantic processing: In the pre-processing work, the keywords are extracted for each answer given by the course instructor. In fact, this answer is actually considered as the key to evaluating the answers written by the e-learners. Keyword and semantic processing of e-learners for hierarchical clustering-based ontology construction: For each answer given by each student, the keywords and the semantic information are extracted and clustered (hierarchical clustering) using a new improved rider optimization algorithm known as Rider with Randomized Overtaker Update (RR-OU). Ontology matching evaluation: Once the ontology structures are completed, a new alignment procedure is used to find out the similarity between two different documents. Moreover, the objects defined in this work focuses on “how exactly the matching process is done for evaluating the document.” Finally, the e-learners are classified based on their grades.

On observing the outcomes, the proposed model shows less relative mean squared error measure when weights were (0.5, 0, 0.5), and it was 71.78% and 16.92% better than the error values attained for (0, 0.5, 0.5) and (0.5, 0.5, 0). On examining the outcomes, the values of error attained for (1, 0, 0) were found to be lower than the values when weights were (0, 0, 1) and (0, 1, 0). Here, the mean absolute error (MAE) measure for weight (1, 0, 0) was 33.99% and 51.52% better than the MAE value for weights (0, 0, 1) and (0, 1, 0). On analyzing the overall error analysis, the mean absolute percentage error of the implemented RR-OU model was 3.74% and 56.53% better than k-means and collaborative filtering + Onto + sequential pattern mining models, respectively.

This paper adopts the latest optimization algorithm called RR-OU for proposing a new assessment system module for handling the comprehensive answers written through the answer interface. To the best of the authors’ knowledge, this is the first work that uses RR-OU-based optimization for developing a new ontology alignment-based online assessment of e-learners.

The Covid-19 virus badly affected working patterns in almost every sector. The purpose of this paper is to analytically substantiate how work and life integration impacts the exhaustion and work–life balance among employees of academic institutions and IT companies.

Current study is empirical in nature based on the survey of 500 respondents taken from academic (250) and IT companies (250) from Ahmedabad and Gandhinagar, Gujarat. Structural equation modelling (SEM) was used to test the hypothesis with the application of the software Smart-PLS. Two surveys were conducted to collect the data separately for academic institutions and IT organizations.

Findings revealed the facts that during Covid-19, the employee’s work and life integration affected the work–life balance and exhaustion in academic institutions highly. The relationship was positively significant. But, for IT employees, it was identified as non-significant.

The current study highlighted the issues which employees faced during Covid-19 severe spread while managing work and family; how it varied due to the nature of work performed by the employees, for example, academics being more exposed to transformation from offline to complete online mode posed more challenges to teaching staff. This study also disclosed the scenario created and how it was handled in the deadly phase.

This study presents the social contribution in understanding the importance of work and life balance and problems related to it, especially when everyone everywhere is scared of going out. The study provides insight into how it became difficult for employees to maintain their payroll successfully.

The current study contributes to the existing body of knowledge by testing statistically that the integration between work and life is important for work–life balance and prohibiting emotional exhaustion. The current paper extends the theoretical contribution by offering suggestions to companies on why to synchronize positive balance between work and life while keeping boundaries relatively strict between family and work to gain employee well-being and competitive advantages.

A goal of integrated reporting (IR) under the International Integrated Reporting Council (IIRC)’s leadership is to provide clearly written, comprehensible and accessible information. In light of this objective, the purpose of this paper is to explore the readability and accessibility of integrated reports, an issue magnified by the IIRC’s continual commitment to clear and readable report language, and its intention for IR to become the corporate reporting norm.

In a whole text software facilitated analysis, the study utilises readability measures and supplementary measures of reader accessibility in a multi-year analysis of a large sample of global integrated reports sourced from the IIRC examples database.

The findings highlight the low readability of analysed integrated reports and indicate that readability is not improving. The supplementary measures suggest sub-optimal use of visual communication forms and overuse of structural presentation techniques which may contribute to reader accessibility of the analysed reports.

The study extends readability analysis to an emerging corporate reporting phenomenon and its findings contribute to the growing IR literature. The study applies supplementary measures of reader accessibility which advance the methods available to assess the communication efficacy of integrated and other corporate reports.

The analysis of the readability and accessibility of integrated reports in the study indicates that the IIRC’s goal of clear, comprehensible and accessible reporting is not reflected by reporters’ practices. This has implications for the IIRC, reporting organisations, report readers and regulators.

The study represents the first large-scale analysis of the readability and accessibility of global integrated reports.