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In the context of Saudi Arabia, this chapter investigates how clustering promotes knowledge sharing and transfer in an emerging, government-directed industry cluster. It is determined that lateral actors play a key facilitating role, and formal and informal mechanisms and interpersonal links among actors support that cluster knowledge exchange. Limited social capital strength and depth and a lack of trust that prevents knowledge sharing are partially explained by the cluster's limited vertical and horizontal actors.

Knowledge management (KM) is an important topic in the age of big data, and this study adds to the existing body of literature by providing a novel KM perspective on the technological phenomenon of artificial intelligence (AI). This study aims to discover how AI might facilitate knowledge-based business-to-business (B2B) marketing. In this chapter, the authors take a close look at the building blocks of AI and the relationships between them. Future research directions and also the effects of the various market information building components on B2B marketing are discussed. The study’s approach is theoretical; it tries to provide a framework for characterising the phenomenon of AI and its constituent parts. Additionally, this chapter provides a methodical analysis of the three categories of market information crucial to B2B marketing: knowledge of customers, knowledge of users, and knowledge of external markets. This research looks at AI through the lens of the conventional data processing framework, analysing the six pillars upon which AI systems are founded. It also explained how the framework’s components work together to transform data into actionable information. In this chapter, the authors will look at how AI works and how it can benefit B2B knowledge-based marketing. It’s not aimed at AI experts but rather at general marketing managers. In this chapter, the possible effects of AI on B2B marketing are discussed using examples from the real world.

The purpose of this chapter is to illustrate the role of higher education establishments in Middle Eastern countries specifically Saudi Arabia. The contributions of higher education establishments are particularly significant in relation to regional and national innovation system, which have been earmarked as engine for growth of the local economy across the region. Our study has chartered the dynamic nature of higher education in the region and their networking capabilities in order to be recognized as key stakeholders of the emerging economy. The study is informed by theoretical dimensions of “open innovation” and how the framework can accommodate the dynamic nature of higher education establishments in order to provide further impetus to ambitious projects such as Vision 2030 in Saudi Arabia. Our study is limited by further empirical evidence but has implication for the region in offering new insights around the evolving conceptualization of entrepreneurial universities and national innovation system.

The question of how work motivation affects team members' tacit and explicit knowledge sharing has long puzzled organizational scholars. In this chapter, the quality of team–member exchange (TMX) is presented as one potential mechanism.

Key variables in the model are intrinsic and extrinsic work motivation, interactional and distributive organizational justice, tacit and explicit knowledge sharing, relationship-oriented and task-oriented TMX, organizational rules, organizational climate for trust. Separate models are developed for intrinsic versus tacit knowledge sharing.

While explicit knowledge sharing depends upon extrinsic factors such as extrinsic work motivation, task oriented TMX, distributive justice perceptions, and organizational rules, tacit knowledge sharing is dependent upon intrinsic factors such as intrinsic work motivation, relationship-oriented TMX, interactive justice perceptions, and perceptions of an organizational climate for trust.

This is the first model to provide a useful framework that should enable scholars to research the factors underlying the relationships between individual employee motivation and both explicit and tacit organizational knowledge sharing.

In the previous chapters, we discussed the gig economy, knowledge economy, and its characteristics of each. The concept of knowledge workers is discussed in detail and their role in the knowledge economy and in creating knowledge. This chapter will explain how the knowledge economy and gig economy are connected and how the concept of knowledge workers and professional gig workers are connected. We will differentiate skilled gig workers from low-skilled workers and their role in economic development and productivity. Furthermore, we will explain their involvement in the organisation and how they can manage them and utilise their knowledge to increase productivity. The end of this chapter will discuss the platform economy concept and explain the platform economy's aspects in detail. This chapter emphasises how working globally is facilitated by digital transformation and IT infrastructure and how managing the professional workforce will create the opportunity to connect to a variety of job demands, particularly from developed countries.

This study investigates the way in which acquisition-related human factors affect knowledge transfer in the context of Chinese cross-border M&A for strategic assets. The authors find that the process of knowledge transfer is reciprocal for revenue and cost synergies, including explicit and tacit knowledge. The establishment of joint ventures (JV) in China after the takeover boosts product-oriented knowledge transfer from overseas-acquired firms in mature markets to Chinese acquirers. The promotion of overseas synergies stimulates complementary knowledge transfer flow, which is reversely transferred from Chinese acquirers to overseas-acquired subsidiaries such as low-saving sourcing and new market applications. This study identifies three acquisition-related human factors that impact overseas knowledge senders for knowledge transfer. These human factors are implemented by Chinese strategic investors as new shareholders during the loosen integration phase. The first facilitator is all-round communication programs with top management involvement, aiming to build up constructive communication channels to boost knowledge transfer. The second facilitator is competence-based trust, which stimulates cooperation and application based on similar professional competence between Chinese acquirers and their overseas-acquired subsidiaries. The impeder is a high turnover of key skilled workers at Chinese acquirers to undermine the effectiveness of knowledge transfer.

Indonesia is one of the largest developing countries in the world and is a profitable market for investors. Small and medium-sized businesses are one of the business activities that contribute to the improvement of the Indonesian economy. This study examines the influence of government policies on financial literacy and the impact of financial literacy on small and medium enterprises’ (SMEs) sustainability. It employs the resource-based view (RBV) and knowledge-based view (KBV) to develop conceptual models. The model is tested with data collected from 132 SMEs in Malang-East Java, Indonesia, in 2020 through a structured questionnaire. This study uses the G-Power version 3.1 software for initial analysis and the partial least square (PLS) analysis method to test this hypothesis. The results show that government policies positively affect SMEs’ sustainability, and financial literacy positively affects SMEs’ sustainability. This implies that government policy and financial literacy are essential factors for SMEs’ resources and knowledge for business sustainability.

This chapter examines the competitiveness of the tourism cluster in the United Arab Emirates (UAE) by applying Porter's competitiveness of nation diamond model, with its four dimensions: factor conditions, demand conditions, the related and supporting industries, and, lastly, the firm's strategy and rivalry. Specifically, we provide a thorough analysis of the UAE's strategic plans, initiatives, and tactics to cultivate competitiveness in tourism across the nation. This includes the draft of a vision for the nation, decisions to build and reinforce their infrastructure, determination to develop and nurture skilled workforce, ability to respond innovatively to their customers' evolving demands, selection of the appropriate base for competition, and, finally, continuous melioration of related industries. Examining secondary data and by reviewing governmental reports, we find that UAE did not cultivate a national advantage by owning random natural resources, but rather by having a strategic intent to converge all their efforts and to deliberately build a coherent cluster in the tourism sector. The chapter also provides some limitations and recommendations for future research.