فصلنامه مدیریت توسعه فناوری
سال هفتم شماره 4 (زمستان1398)

The knowledge-based companies are among the main drivers of the knowledge-based economies. Therefore, it is important to study the reasons for their success. Among the affecting factors, organizational leadership and innovation leadership are very important. In this research, attempts have been made to investigate the successful leadership styles in accordance with the popular leadership styles, which were previously introduced in the literature. Regarding the purpose, this research is considered as developmental research and the data collection and analysis have been done via multiple qualitative case study methods. By selecting samples with maximum characteristics from among 186 profitable knowledge-based companies that still work with the original team, the theoretical saturation was finally achieved in the ninth and tenth case studies. The data extracted from the semi-structured interviews with 21 of the leaders and key employees of these companies and the content of the interviews were analyzed and the codes and categories were extracted and their relationship was identified. Finally, it has been shown that the inspirational motivation as one of the fundamental aspects of transformational leadership method is obvious in these companies, but charisma, individual considerations and intellectual stimulation are rare. In addition, despite observing some important aspects of “initiating structure style” and "servant leadership style", these two styles are not dominant in the organizations, and in fact, a combination of components of these three styles ensures success in these companies.

The process of determining and measuring technology maturity level and estimating the cost of technology development is very important for pioneering organizations in research and development. In this regard, we need to establish and develop domestic approaches according to conditions of the country.This research seeks to establish and develop such an approach to achieve double –use technologies for a light class submarine. This technology is the result of domestic research and development in one of the military industries (between 2017 and 2018). In this research, first, using two quality house matrices, main demands of the customer and functional- requirements are described and the level of technology is determined. Then, the current technology level gap is determined and analyzed and its readiness is assessed quantitatively using the technical specifications of technology. Finally, by determining technology readiness level, current technology costs are calculated on the base of activity based cost method. The results show that the technology has completed level 4 and it is at level 5, now. The presented approach is considered as a guide for the research and development department of organizations.

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.

Technology Intelligence Businesses in Iran have failed to sell their services and have been unsuccessful to make a profit which is the ultimate goal of any business. Therefore, the present study seeks to identify the reasons for the failure of these businesses in selling their services.This study is qualitative and deals with the pathology of technology intelligence business models by deductive content analysis. The Osterwalder Business Model was chosen as the conceptual model and its main three components were used to preparethe interview questions. The focus of the interview questions was on examining the attitudes of the respondents about the reasons for the failure of the technology intelligence business models. The analysis of each interview was done by using Maxqda qualitative software. Based on the qualitative content analysis of the findings, the business model of each sample was extracted and Likert scale was used to evaluate the business models using the Osterwalder’s criteria including "channel effectiveness", "finding new customers consistently" and “customer participation in the value creation process" which were identified as the weakest. Then, the reasons for poor performance in the indicated criteria in two areas of supply (marketing, expertise, skill, cost, competitors, content, organizational culture) and demand (weakness at the macro and micro levels) were described.

Since the startup companies do not enjoy high liquidity and capital, they should use effective methods to maximize efficiency for attracting customers at the lowest costs. These methods are known in the marketing literature as Growth Hacking Marketing. The present study was conducted to identify and explain the key factors of implementing the Growth Hacking Strategy in startup companies. In this study, interviews were used to collect data in the qualitative section and questionnaire was used in the quantitative section; the qualitative data were analyzed by ATLAS.ti Software and Coding Method and the quantitative data were analyzed by Fuzzy Delphi Method. The qualitative research findings identified twenty success factors in implementing growth hacking strategy and quantitative findings covered the prioritization of the success factors. The results of this study indicate that the most important success factors in implementing Growth Hacking in startups are groundbreaking cognitive skills, concurrent mastery of marketing and programming, proficiency at digital marketing and content marketing, and Influencer Marketing.

One of the most important challenges for knowledge-based companies in Iran is to improve the commercialization process and most of these companies have difficulty to achieve the desired commercialization performance. While the importance of business networks is emphasized in the literature on commercialization, the role of networking capabilities for the effective management of network communications to improve commercialization performance has not been investigated. There is little insight, in particular, into the fact that companies can better manage their networking capabilities by considering the networks structure for successful commercialization. Based on Resource-Based View (RBV) and the business networks approach as a theoretical lens, the present study tries to identify the indigenous dimensions of networking capability through a mixed-methods approach. And in the next step, by presenting the model, the direct and indirect effect of this capability on the commercialization performance will be determined. According to the results, the fit of the proposed model was confirmed in terms of measurement, structural and  general models. The results also showed that networking capability and its dimensions have a positive and significant effect on commercialization performance. In addition, the mediating role of business networks structure in the relationship between networking capability and commercialization performance was confirmed.