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The aim of the study is to test the integrated model involving work stress, office clutter and employee performance with the moderating roles of training and self-discipline (SD) after the re-opening of the banks after the COVID-19 wave.

The study used 333 respondents from banking industry, whose responses were recorded using a closed ended questionnaire. The authors used partial least square path anaysis to analyze the data.

Work stress significantly increases office clutter, which harms the employees’ performance. Moreover, SD and training significantly improve employees’ performance by reducing work stress and thereby office clutter. There are various mechanisms through which both these factors reduced stress and office clutter.

The employee’s performance can be enhanced with lower levels of office clutter. The office clutter can be managed through having lower levels of stress and providing people with training and inculcating SD among them. A greater understanding of the factors that count toward office clutter might help bank managers and employees to address the issues related to their performance.

The authors have proposed a new framework involving conservation of resources theory for the employees’ performance. They posit employees’ performance is an organizational resource, which can be conserved as well as enriched both by employers and employees through their own contribution.

Data represents a critical resource that enables construction companies’ success; thus, its management is very important. The purpose of this study is to assess the benefits of construction data risks management (DRM) in the construction industry (CI).

This study adopted a quantitative method and collected data from various South African construction professionals with the aid of an e-questionnaire. These professionals involve electrical engineers, quantity surveyors, architects and mechanical, as well as civil engineers involved under a firm, or organisation within the province of Gauteng, South Africa. Standard deviation, mean item score, non-parametric Kruskal–Wallis H test and exploratory factor analysis were used to analyse the retrieved data.

The findings revealed that DRM enhances project and company data availability, promotes confidentiality and enhances integrity, which are the primary benefits of DRM that enable the success of project delivery.

The research was carried out only in the province of Gauteng due to COVID-19 travel limitations.

The construction companies will have their data permanently in their possession and no interruption will be seen due to data unavailability, which, in turn, will allow long-term and overall pleasant project outcomes.

This study seeks to address the benefits of DRM in the CI to give additional knowledge on risk management within the built environment to promote success in every project.

Using the technology acceptance model (TAM), this study investigates factors influencing the adoption of cryptocurrency in Bangladesh.

Data were collected from 346 members of the general public through a structured web survey using snowball sampling. Structural equation modeling was used to analyze the data and assess the reliability and validity of the measurement model.

The results show that knowledge of cryptocurrency, benefits of use (perceived usefulness), attitude and challenges all have a significant impact on the adoption of cryptocurrency.

This study was conducted in a single country, relied on self-reported data and used a cross-sectional design, which limits the ability to draw causal inferences. Future research could explore the factors that influence the adoption of cryptocurrency in different countries and regions and incorporate additional variables to provide a more comprehensive understanding of the drivers of intention to use cryptocurrency.

This study contributes to understanding the factors driving the adoption of and intention to use technology-based services, providing insights that can inform the design and implementation of future technology-based services.