Search results

Like several of its neighbouring countries, the Kingdom of Saudi Arabia (KSA) has seen a move away from an oil-based economy towards a knowledge-based economy in recent decades. Research productivity in the Kingdom is increasing quickly along with international collaborations. Nonetheless, postgraduate research at universities in KSA is a relatively young domain, which certainly is a core factor in the evolving research management structures in the country.

Going forward, increased openness in research, along with continuing significant investment into higher education and research both by the government and the strong private sector points to a need for refined research governance and policy frameworks with designated expert research management staff developing and facilitating the underlying processes to enable Saudi institutions to engage at the forefront of academic research.

A new High School Equivalency (HSE) policy was developed in the United Arab Emirates (UAE) in response to a shift toward a knowledge-based economy and a transformation toward STEM education. The purpose of this study is to explore and understand the stakeholders' perceptions and experiences in implementing the new HSE policy in a school that follows a US curriculum in the UAE. The study was conducted before the COVID-19 lockdown. The phenomenological approach was used to shed light on the implementation of the HSE policy in an active learning environment and the challenges facing the school's stakeholders. The study results reveal the challenges that stakeholders face in implementing the HSE policy and their experiences in offering students the courses they need. All stakeholders agreed that the transformation toward STEM education requires proper implementation of the high school equivalency policy in an active learning environment that help in developing students' twenty-first-century skills and prepare them to meet the job market needs.

In this chapter, the authors make the case that preserving and curating knowledge for the future involves more than changing methods and tactics or extending our current applications and technology to support knowledge capital. It means changing the way we think about the future. It means envisioning multiple futures where various elements may be known or unknown – a four-future quadrant. First, the authors explain what it means to think strategically in multiple known and unknown futures. Next, the chapter presents ideas for strategic thinking about future knowledge preservation and curation. Finally, the authors consider using the four futures to develop a flexible and relevant knowledge preservation and curation strategy.

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 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.

Within the last two decades, entrepreneurship education has become institutionalized in Germany. It is offered as a stand-alone program or as part of a business degree, combining academic knowledge, practical skills, and personal development to enhance the entrepreneurial success of university graduates. While entrepreneurship education has experienced similar growth worldwide, its emergence in Germany is closely tied to the country’s political and economic developments. The significance of entrepreneurship education for a thriving entrepreneurial ecosystem and contemporary economic policy has been instrumental in advancing its academic recognition. This chapter provides a historical analysis of the academization of entrepreneurship in Germany. It explores the recursive and often idiosyncratic processes involving state and financial institutions, companies, and universities that have created, respecified, and mutually reinforced a subdiscipline and field of study. Academic entrepreneurship knowledge successively not only became relevant for starting a business but also for employment within the entrepreneurial infrastructure and beyond. This chapter follows a chronological order, highlighting three key stages in the academization of entrepreneurship education. First, the academic, financial, and political roots (I) of entrepreneurship up until the 1970s. Second, it explores the transformation (II) of entrepreneurship into a viable policy alternative and the challenges faced in establishing complementary research and education in higher education institutions during the 1980s. Finally, it sketches the institutionalization (III) of entrepreneurship as a central driver of government economic policy, allowing for the late bloom of entrepreneurship education and research at universities around the turn of the millennium.

Singapore’s research has grown significantly since the first national R&D plan was launched in 1991, the same year Nanyang Technological University (NTU) was established. NTU’s research progression, vitally funded by the government, mirrored the substantial growth of Singapore’s research. NTU began as an engineering-based higher education institution that also had a school for accountancy and business, but more schools were added after 2000. Since then, the university has established a research ecosystem that includes research centres of excellence, corporate labs, and medium-sized research centres. Concurrently, the development of research administration in NTU has evolved from providing pre- and post-award support, extending to include outreach, research integrity and ethics, bibliometrics analysis, and talent recruitment and career support. The evolution of administrative needs and capabilities following the changing environment underscores the dynamic nature of research management and administration in Singapore.