Iranian Research Organisation for Science and Technology Journal of Technology Development Management 2008-5060 7 4 2020 02 20 Identifying Motivation Patterns of the Experienced Knowledge Workers to Promote Innovation (Iran Telecommunication Research Center (ITRC) as a Case Study) Identifying Motivation Patterns of the Experienced Knowledge Workers to Promote Innovation (Iran Telecommunication Research Center (ITRC) as a Case Study) 63 95 925 10.22104/jtdm.2020.4099.2465 FA Oliya Daneshvar PhD Student, Alborz Campus, University of Tehran, Iran. Fatemeh Saghafi Faculty Member of Management, University of Tehran, Iran. 0000-0003-4843-6885 Mohammad Mosa Khani Faculty Member of Management, University of Tehran, Iran. Nasrin Dastranj Faculty Member of Information Technology, ICT Research Institute, Tehran, Iran. Journal Article 2020 02 29 Knowledge Workers (KWs) are the driving force in knowledge-based economy and their performance and motivation have a direct impact on technological evolution and innovation. This research, using Q Methodology, focuses on the experienced Knowledge Workers’ attitude and their mental patterns of motivation. To this end, a systematic review was carried out to form the concourse of communication and more than 1000 papers which were published in the authentic scientific databases were reviewed and 90 most-relevant papers were selected to extract the KWs’ motivating factors. Having consulted with experts, the concourse of communication was finalized and Q set was formed. Thirteen experienced KWs from ITRC were selected to participate in Q sorting. Finally, using factor analysis, the mental patterns of the experienced knowledge workers were extracted and five mental patterns were identified as “boss”, “conservative”, “sentimentalist”, “ambitious” and “perfectionist”. The results of this study provide us with useful information to better understand the experienced knowledge workers and find ways to motivate them. The research center can achieve its goals, enhance KWs’ performance and innovativeness using the motivating factors identified for each pattern.  Knowledge Workers (KWs) are the driving force in knowledge-based economy and their performance and motivation have a direct impact on technological evolution and innovation. This research, using Q Methodology, focuses on the experienced Knowledge Workers’ attitude and their mental patterns of motivation. To this end, a systematic review was carried out to form the concourse of communication and more than 1000 papers which were published in the authentic scientific databases were reviewed and 90 most-relevant papers were selected to extract the KWs’ motivating factors. Having consulted with experts, the concourse of communication was finalized and Q set was formed. Thirteen experienced KWs from ITRC were selected to participate in Q sorting. Finally, using factor analysis, the mental patterns of the experienced knowledge workers were extracted and five mental patterns were identified as “boss”, “conservative”, “sentimentalist”, “ambitious” and “perfectionist”. The results of this study provide us with useful information to better understand the experienced knowledge workers and find ways to motivate them. The research center can achieve its goals, enhance KWs’ performance and innovativeness using the motivating factors identified for each pattern.  https://jtdm.irost.ir/article_925_7fa732b517cbed14a48843d74526c11a.pdf