FACTORS AFFECTING SUCCESSFUL IMPLEMENTATION OF INFORMATION TECHNOLOGY PROJECTS: EXPERTS’ PERCEPTION

The alarming rate of Information Technology (IT) project, and business failure, even globally, remains a major concern to stakeholders, especially clients, in developing countries like Nigeria where infrastructure per capita is known to be low. In order to survive, firms depend on the implementation of new IT ideas with their capital intensive nature, and a major objective of reducing time-to-market for the private sector, and increased social benefit for the public sector. Using data from experts in the industry in Nigeria, this paper presents an ordinal profile of factors contributing to successful project implementation and the extent of the contribution based on variance analysis, and regression models. It was discovered at the end of the study that six factors namely clear requirements and specification, clear objective and goal, realistic schedule, effective project management methods/skills, support from top management and user/client involvement have collective effect on implementation of IT-Projects in Nigeria. It was further deduced that the most critical factor is realistic schedule while the least is clear objective and goals. The predictive model developed accounted for 62.9% effect of these factors on Implementation of IT-Projects in Nigeria

Prospects and challenges of Metaverse application in data‐driven intelligent transportation systems

Abstract The Metaverse is a concept used to refer to a virtual world that exists in parallel to the physical world. It has grown from a conceptual level to having real applications in virtual reality games. The applicability of the Metaverse in numerous sectors like marketing, education, social, and even advertising exists. However, there exists little or no work on Metaverse applicability to the transportation industry. Data‐driven intelligent transportation systems (DDITS) aim to provide more intelligent systems based on exploiting data. This paper reviews the concepts and features of the Metaverse. Also, the review goes over three dominant DDITS challenges: vehicle fault detection and repair, testing new technologies, and anti‐theft systems. In addition, it highlights prospective Metaverse solutions that apply to the DDITS. Buttressing the utility of Metaverse in DDITS, this paper presents two major case studies: the invisible to visible (I2V) and the Metaverse on Wheels (MoW) technologies. Finally, the influence, limitations, and open issues of Metaverse applications to DDITS are discussed

Explainable Artificial Intelligence (XAI) for Intrusion Detection and Mitigation in Intelligent Connected Vehicles: A Review

The potential for an intelligent transportation system (ITS) has been made possible by the growth of the Internet of things (IoT) and artificial intelligence (AI), resulting in the integration of IoT and ITS—known as the Internet of vehicles (IoV). To achieve the goal of automatic driving and efficient mobility, IoV is now combined with modern communication technologies (such as 5G) to achieve intelligent connected vehicles (ICVs). However, IoV is challenged with security risks in the following five (5) domains: ICV security, intelligent device security, service platform security, V2X communication security, and data security. Numerous AI models have been developed to mitigate the impact of intrusion threats on ICVs. On the other hand, the rise in explainable AI (XAI) results from the requirement to inject confidence, transparency, and repeatability into the development of AI for the security of ICV and to provide a safe ITS. As a result, the scope of this review covered the XAI models used in ICV intrusion detection systems (IDSs), their taxonomies, and outstanding research problems. The results of the study show that XAI though in its infancy of application to ICV, is a promising research direction in the quest for improving the network efficiency of ICVs. The paper further reveals that XAI increased transparency will foster its acceptability in the automobile industry