• Knowledge management and artificial intelligence (AI)

      Renukappa, Suresh; Suresh, Subashini; Jallow, Haddy (Academic Conferences and Publishing International Ltd, 2020-12-03)
      The fourth industrial revolution known as Industry 4.0 is said to increase the opportunities and industry potential with the use of digitisation aids. The digitisation of the construction industry is becoming very important as processes, quality and efficiency are being focused on a lot more. Within the construction industry, knowledge management (KM) is a key part of learning from past mistakes on previous projects. As part of Industry 4.0, Artificial Intelligence (AI) is one of the technologies that could provide a potential to the construction industry through gathering knowledge from previous projects to determine future project outcomes. Therefore, this research focusses on AI and its abilities to improve KM for the construction industry in the UK. Qualitative research approach was adopted to collect and analyse the data. A total of 10 semi-structured interviews were conducted with managers within the construction industry. Results show that organisation have already implemented some sort of AI systems within projects and organisations in order to allow for better KM. Combining AI systems into Common Data Environments can help employees in finding documents easier with a unique ID or referenced words. It is concluded that AI systems can be built and used in order to assist with the KM processes that businesses have already implemented. It is recommended that there is a need for developing a business model canvas of implementing AI to benefit from KM within organisations in order to identify the difference between the business processes without AI for KM and with AI being used to assist KM.
    • Managing knowledge in the context of smart cities: a systematic review

      Renukappa, Suresh; Suresh, Subashini; Abdalla, Wala (Academic Conferences and Publishing International Ltd, 2020-12-03)
      The most recent view on smart city development has recognized that the level of technology adoption in urban contexts is no more able to reflect the real smartness of cities. Smart cities is seen as a centre of knowledge, education, and creativity. The development of smart cities is becoming more and more knowledge based. As a result, knowledge has been perceived as the core component that makes cities smart. Hence, to take advantage of the opportunities that knowledge-based economy and society can bring to the city, leaders and decision makers need to develop cities that take advantage of local knowledge and intellectual capital of the population. Therefore, they need to take initiative to adapt Knowledge Management (KM) in smart cities development. Smart cities KM offers the means to create valuable knowledge that brings consistent and sustainable added value that can therefore be useful in avoiding strategic risk, better-informed decision, and finding smart and effective business solutions. However, smart cities is a relatively new concept that still raises many questions related to its relevance in knowledge management studies. This often calls for the creation, use, capture and exploitation of new knowledge. Therefore, managing this knowledge is considered an important source of sustainable competitive advantage. However, only a few studies in the academic literature on smart city initiatives address issues related to managerial and knowledge management perspectives. This paper investigates the underlying dynamics behind KM and the need for successful implementation of KM strategies within the context of smart cities. The findings are in the main, based on thorough review of literature. It reviews the concept of smart cities and KM. The paper concludes that effectiveness of smart cities knowledge creation, exploitation and management significantly influences on effectiveness of smart city development. Therefore, smart cities governance must be able to exploit and manage knowledge that results from smart cities development.