Purpose: Higher education institutions (HEIs) face a number of challenges in effectively managing and reporting on sustainability information, such as siloes of data and a limited distribution of information. Business intelligence (BI) can assist in addressing the challenges faced by organisations. The purpose of this study was to propose a BI framework for strategic sustainability information management (the Sustainable BI Framework) that can be used in HEIs. Design/methodology/approach: The research applied the design science research methodology whilst using a South African HEI as a case study. The problems with sustainability information management were identified, and a theoretical framework was proposed. In addition, a practical BI software tool was developed as proof of concept to address these problems and to assist with the management of strategic sustainability information in an HEI. Findings: The proposed sustainability BI tool was evaluated through heuristic and usability evaluations with senior management. The results indicated that the usability of the BI tool was positively rated and that the framework can assist in overcoming the constraints that HEIs face in effectively managing sustainability information. Research limitations/implications: The research was limited to a single case. However, the theoretical framework was derived from and expanded on existing stakeholder theory, sustainability reporting theory and literature on BI dashboard development. The framework was implemented successfully in the Sustainable BI Tool prototype at the case study, and the results reveal in-depth information regarding information management for sustainability reporting in higher education. Practical implications: The Sustainable BI Tool is a solution that integrates data from multiple areas of sustainability and provides a single integrated view of the information to stakeholders. The information is provided through performance dashboards, which provide predictive capabilities to enable management to report on sustainability and determine if the institution is meeting its strategic goals. The lessons learnt can also assist other HEIs considering implementing BI for sustainability reporting. Social implications: Improved sustainability reporting for HEIs provided by the BI framework can improve the environmental and social impact of the educational community. Originality/value: This study provides the most comprehensive framework for guiding the design of a BI tool to assist in effectively managing sustainability information in HEIs.

Though the field of management information systems, as a sector and a discipline, is the inventor of many guidelines and models, it appears to be a slow runner on practical implications of interface usability. This usability can influence end users’ attitude and behavior to use IT. The purpose of this paper was to examine the interface usability of a popular Enterprise Resource Planning (ERP) software system, SAP, and to identify related issues and implications to the Technology Acceptance Model (TAM). A survey was conducted of 112 SAP ERP users from an organization in the heavy metal industry in Bangladesh. The partial least squares technique was used to analyze the survey data. The survey findings empirically confirmed that interface usability has a significant impact on users’ perceptions of usefulness and ease of use which ultimately affects attitudes and intention to use the ERP software. The research model extends the TAM by incorporating three criteria of interface usability. It is the first known study to investigate usability criteria as an extension of TAM.

Range anxiety is a barrier to the adoption of electric vehicles (EVs). One of the factors influencing range anxiety is the remaining driving range (RDR) of these vehicles. Existing models used for estimating the RDR are often simplified and rely on a limited number of factors. The RDR is a parameter that changes under environmental and behavioral conditions. Factors relating to these conditions and their influence on RDR estimation are often ignored by researchers. The aim of this paper is to critically analyze literature to identify the key factors that influence the RDR. A critical review of related literature was used to propose a taxonomy of key factors influencing the RDR of EVs. The findings of this paper reveal that five key factors influence the RDR and that more than 50 data attributes can be used as input during RDR calculations. Presenting accurate RDR estimations can reduce range anxiety for drivers, thereby improving the adoption rate of EVs. This paper provides a contribution to research in terms of a comprehensive taxonomy of key factors, together with related data attributes that can be used in a big data analytics model to intelligently calculate a more accurate RDR of an EV.

Together, the fields of education and information technology have identified the need for an online solution to training. The introduction of e-learning has optimised the learning process, allowing organisations to realise the many advantages that e-learning offers. The importance of user involvement in the success of e-learning makes it imperative that the forces driving intention to use e-learning and satisfaction thereof be determined. The purpose of this paper is to investigate the relationships between the metrics influencing intention to use and the satisfaction of using e-learning in companies. The results of a survey distributed amongst a South African software development company’s customer base revealed that the 94 respondents have positive enjoyment and self-efficacy levels, and low computer anxiety levels. Correlation analysis revealed significant relationships between enjoyment and self-efficacy and between enjoyment and satisfaction. Companies should therefore ensure that users enjoy using e-learning as it can directly influence satisfaction and self-efficacy.

In the era of rapid technological advancement, wearables have emerged as a promising tool for enhancing health and well-being. The convergence of health and technology drives an unprecedented change in the approach to health and well-being management. This paper aims to provide a comprehensive understanding of the potential role of wearables in actualising health and well-being, thereby paving the way for a healthier and more sustainable future. Using the Affordance Theory lens, this paper delves into the transformative potential of wearables in health and well-being management, thereby promoting Sustainable Development Goal 3 to ensure healthy lives and well-being for all at all ages. The thematic analysis of online reviews on wearable devices captured through web scraping was carried out to explore the potential of these devices in the management of health and well-being. The paper explored how wearables, often integrated into everyday life, can monitor vital signs, track fitness metrics, and even provide therapeutic benefits for health and well-being. The findings reveal that wearables can empower individuals to take charge of their health by leveraging real-time data and personalised feedback, promoting a proactive and preventive approach to health management and resource-effective healthcare. Furthermore, the paper highlights how wearables can contribute to long-term health outcomes for the present generation without exerting excessive strain on the resources for future generations.