Research Article
Organizational Knowledge and Knowledge Management - A New Framework
Atul Sen*
Issue:
Volume 9, Issue 1, February 2024
Pages:
1-12
Received:
26 March 2024
Accepted:
12 April 2024
Published:
29 April 2024
Abstract: The transition of firms from the Resource-based view (RBV) to the Knowledge-based view (KBV) where knowledge is viewed as the principal resource for value creation and sustainable competitive advantage created a renewed interest among researchers to understand knowledge per se, and the concept of organizational knowledge. This interest has further been fueled by the advent of the concept of Knowledge Management (KM). With some discussions on knowledge, this paper presents a new framework for organizational knowledge and the knowledge flow within the firm. The author has pointed out that most of the research on KM has been with the firm as a business organization (where the focus is on short-term return on investment) and that is the reason many KM initiatives often stop at IT-based initiatives or fail, and fuel the fear that KM is simply just another fad. Many KM models and frameworks present KM best practices without addressing the contextual differences between organizations. In this paper, the author has presented a knowledge perspective of four different types of organizations based on their knowledge manipulation activities and suggests that KM programs need to be custom designed to cater to the different needs of the different types of organizations. The author has also suggested a new KM framework based on the dynamics of knowledge that organizations are facing today. The author developed the two frameworks during the implementation of KM initiatives at the Defence Research & Development Laboratory, Hyderabad, a premier research institution under the Ministry of Defence, Government of India, during the years 1999 to 2003.
Abstract: The transition of firms from the Resource-based view (RBV) to the Knowledge-based view (KBV) where knowledge is viewed as the principal resource for value creation and sustainable competitive advantage created a renewed interest among researchers to understand knowledge per se, and the concept of organizational knowledge. This interest has further ...
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Research Article
Research on the Influence of Humor Response in the Context of Artificial Intelligence Service Failure: Moderating Effect Based on User Humor
Issue:
Volume 9, Issue 1, February 2024
Pages:
13-23
Received:
3 May 2024
Accepted:
4 June 2024
Published:
13 June 2024
Abstract: With the development of high and new technology, artificial intelligence technology has been widely used in all walks of life. However, limited by the technical development level and the complexity of the service environment, the failure of artificial intelligence robots is inevitable. How to make an effective remedy has become the focus of attention of enterprises and academia. Based on cognitive-affective system theory of personality, benign violation theory and personality trait congruence theory, this paper conducts three situational experiments. This paper explores the relationship between artificial intelligence humor response, perceived sincerity and user forgiveness in the context of artificial intelligence service failure, and discusses the moderating effect of user humor degree. It is found that artificial intelligence humor response has a positive effect on user forgiveness in the context of service failure, and perceived sincerity plays a part of mediating role. In addition, for users with different degrees of humor, the same humorous reply will cause users to perceive different sincerity, and then lead to different users' forgiveness. This study complements the research on consumer psychology and behavior theory and remedy strategies in the context of service failure by artificial intelligence robots. At the same time, it provides a reference for enterprises how to dynamically adjust the artificial intelligence humor response level according to the user portrait, and further provides practical enlightenment for enterprises to implement effective remedy strategies.
Abstract: With the development of high and new technology, artificial intelligence technology has been widely used in all walks of life. However, limited by the technical development level and the complexity of the service environment, the failure of artificial intelligence robots is inevitable. How to make an effective remedy has become the focus of attenti...
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