Chatbot Technology Adaptation to Reduce the Information Gap in R&D Center: A Case Study of an IT Research Organization

Abstract

Information gap is one of an important obstacle occurring within multi-disciplinary public-funded R&D organizations. It prohibits employees to know information about internal procedure as well as the research center's products. From the stability and continuity point of view, the wider information gap among employees, the lower efficiency to reach the mission-vision of R&D centers. This work studied particularly the internal process dimension of Competing Values Framework as it assesses directly the stability and continuity of organization. This study used semi-structured interview and proposed to adapt Chatbot technology to help reduce such information gap. The quantitative and qualitative analyses have been discussed. The results show that the methodology used in this work can illustrate the current organizational climate, particularly in internal process facet, and confirm the usefulness of the proposed Chatbot technology adaptation for the case study R&D center. This study suggests that research center should manage their own research products in a way that they can be reach by its employees. This makes it more efficient to disseminate knowledge and products of the research center to private sector and to society.