Intrinsic motivation for knowledge sharing – competitive intelligence process in a telecom company
Journal of Knowledge Management
Published online on October 17, 2016
Abstract
Journal of Knowledge Management, Volume 20, Issue 6, Page 1282-1301, October 2016.
Purpose Knowledge about competitive environments is a determinant factor for the success of a firm, as it may allow it to anticipate threats and opportunities in its market. This study aims to explore variables that enable or prevent an employee’s intrinsic motivation to share knowledge. It studies the collection and sharing of information that may be a signal of future competitive moves in competitive intelligence (CI) processes. Design/methodology/approach Canonical correlation was used by utilizing survey data from a company. The study was based on the self-determination theory relating intrinsic motivation to behavior. Findings The study confirms the importance of different aspects motivating knowledge sharing behavior, such as information system’s support, top management support and information feed-back. Research limitations/implications The study is limited to one company, respecting the limitations of a case study, but external validation was impossible to test. Findings showed a strong correlation of some variables with intrinsic motivation and are coherent with other studies in the knowledge sharing field. Practical implications Firms introducing knowledge sharing processes should pay attention to the importance of information system support. The relationship with people involved is also important, as in supporting their collaborations and giving feed-back to contributions. Sustaining intrinsic motivation seems a fundamental aspect to the process’ success. Originality/value The study indicates the relation of different variables of motivation with motivation. It explores knowledge sharing in a CI process, an important process in firms nowadays. It shows important aspects that ensure continuity of knowledge sharing as informational feed-back and top management support. Canonical correlation was also used, a technique not frequently explored and useful to study correlation among groups of variables.
Purpose Knowledge about competitive environments is a determinant factor for the success of a firm, as it may allow it to anticipate threats and opportunities in its market. This study aims to explore variables that enable or prevent an employee’s intrinsic motivation to share knowledge. It studies the collection and sharing of information that may be a signal of future competitive moves in competitive intelligence (CI) processes. Design/methodology/approach Canonical correlation was used by utilizing survey data from a company. The study was based on the self-determination theory relating intrinsic motivation to behavior. Findings The study confirms the importance of different aspects motivating knowledge sharing behavior, such as information system’s support, top management support and information feed-back. Research limitations/implications The study is limited to one company, respecting the limitations of a case study, but external validation was impossible to test. Findings showed a strong correlation of some variables with intrinsic motivation and are coherent with other studies in the knowledge sharing field. Practical implications Firms introducing knowledge sharing processes should pay attention to the importance of information system support. The relationship with people involved is also important, as in supporting their collaborations and giving feed-back to contributions. Sustaining intrinsic motivation seems a fundamental aspect to the process’ success. Originality/value The study indicates the relation of different variables of motivation with motivation. It explores knowledge sharing in a CI process, an important process in firms nowadays. It shows important aspects that ensure continuity of knowledge sharing as informational feed-back and top management support. Canonical correlation was also used, a technique not frequently explored and useful to study correlation among groups of variables.