Academic Publishing insists on taking academic exchange and publication as the main line, carrying out comprehensive management based on science and technology, and fully exploring excellent international publishing resources. Within 5 years, it will form a strategic framework and scale with science (S), technology (T), medicine (M), education (E), and humanities and arts (H) as the main publishing fields. Academic Publishing is headquartered in Singapore and based in Malaysia, with the United States and China providing the main scientific and academic resources. At the same time, it has established long-term good cooperative relations with other publishing companies, scientific research communities, and academic organizations in more than a dozen countries and regions. Academic Publishing uses English and Chinese as its main publishing languages, mainly publishing books, journals, and conference papers in print and online. The vast majority of publications follow the international open access policy, providing stable and long-term quality and professional publications. With the joint efforts of the expert team and our professional editorial team, our publications will gradually be indexed by international databases in stages to provide convenient and professional retrieval for various scholars. At the same time, manuscripts we accept will be subject to the peer review principle, and cutting-edge and innovative research articles will be preferentially accepted for peer reference and discussion. All kinds of our publications are welcome for peer to contribute, access, and download.
Vol. 2 No. 1 (2024)
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Open AccessArticle
Article ID: 1386
A systematic design for AI-centered innovation management network by Marxist epistemologyby Qing Luo, Hexiu Cao
Forum for Philosophical Studies, Vol.2, No.1, 2024; 82 Views, 97 PDF Downloads
By building AI-centered innovation management systems, innovative countries and organizations can optimize management processes, stimulate creativity, and accelerate product and service innovation cycles. AI-centered innovation management finds market in China. The application of Marxist Epistemology is applicable in breeding innovation knowledge, especially in defining AI-centered networks to guide innovation management, focusing on providing innovation conditions and the development of innovation relations. Furthermore, systematic entity of contradictions design is critical for AI-centered innovation management networks, unifying the systematic functions and structure by integrating AI into innovation management effectively.
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Open Access
Article
Article ID: 1403
Leaders (non-faculty) in higher education: A phenomenological study on understanding their roleby Saravanan Sathiyaseelan
Forum for Philosophical Studies, Vol.2, No.1, 2024; 58 Views, 29 PDF Downloads
The higher education fraternity associates itself closely to academia; the environment or community concerned with the pursuit of research and education. Unsurprisingly, the faculty receive more attention in areas surrounding higher education. However, recent days are seeing vast evolutions in the higher education landscape, beginning with an escalating interest in a seamless and capable administration to support, strengthen and elevate both research and education goals to greater heights. This study used a qualitative phenomenological approach to examine fifteen leaders (non-faculty) working in mid-senior level positions in a university in Singapore to understand their role. The findings evidently proved that leaders (non-faculty) are facilitators and enablers who perform and complete their tasks by facilitating activities, processes, events, and interactions (to and for both students and faculty), and enabling an activity or implementing a policy. Furthermore, the findings reinforced the importance of such leadership within the higher education sector, especially at a time universities explore new strategies to diversify and gain competitive advantage in a challenging environment marked by globalization, technological disruptions, unpredictable demand, and changing student needs.
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Open Access
Article
Article ID: 1659
Hitting or being rightby Cristián Pérez García
Forum for Philosophical Studies, Vol.2, No.1, 2024; 14 Views, 6 PDF Downloads
In this paper, we study Gettier’s problem based on some recent bibliography and new research advances. First, we set the terms of the discussion and expose the core of the problem. Many disputes on this topic are rooted in misapprehensions of the concept of knowledge. Therefore, we give the most common definition of knowledge and show its structure. Then we look at Gettier’s two cases and propose a new example that helps us clarify the nature of the problem. We use a case of induction because it gathers all the epistemological problems together so that its solution may be considered a complete one. Finally, incorporating recent advances in epistemology, we propose a solution to Gettier’s problem. Some situations that fit in the common definition of knowledge do not seem to also fit under the word “knowledge.” Through the study of a hypothetical case, in this article we shall propose a solution to this dissonance.
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