فصلنامه مدیریت توسعه فناوری
سال هشتم شماره 4 (زمستان 1399)

The digital transformation of industries, known as Industry 4.0, has become an important topic in the organizational transformation literature lately, and its fulfillment leads to technological and strategic leadership. Despite these benefits, the uncertainty and ambiguity of digital transformation investment outcomes have prevented many organizations from entering this area for particular reasons such as insufficient knowledge about the dimensions of the phenomenon and lack of a roadmap for organizational transformation. Therefore to identify the dimensions and factors affecting the digital transformation in the present study, a literature review was conducted. The finding were coded and analyzed using the grounded theory approach and with the assistance of MAXQDA software. Accordingly, the main dimensions of digital transformation maturity are classified in the form of a paradigm model consisting of 5 main dimensions and 13 categories. This theoretical framework can be further used in the development of digital transformation maturity models in future researches.

Digital entrepreneurship is a new way of doing business that paves the way for economic development in developing countries, and the need for its development has accelerated in line with the prevalence of Covid-19. On the other hand, the development of digital entrepreneurial businesses in Iran is relatively slow and so far a comprehensive study has not examined the dimensions of the development of such businesses. Therefore, the purpose of this study is to identify and analyze the dimensions of digital entrepreneurship development in small and medium-sized knowledge-based firms and develop a model for it. In this research, first, by literature review and semi-structured interviews, 147 codes related to digital entrepreneurship development have been identified. Then the codes have been classified into 29 basic themes and 7 organizing themes through qualitative content analysis and the themes are classified into three levels (contextual, structural, and content) using interpretive structural modeling. Finally, the proposed model has been confirmed by confirmatory factor analysis in structural equation modeling. According to the research findings, among the 7 effective factors in the development of digital entrepreneurship, structural and contextual factors are the most influential and impressionable factors, respectively, and therefore have a key role in the development of digital entrepreneurship in small and medium-sized knowledge-based firms.

Today, the digital content industry is one of the sources of wealth creation and economic growth in developed countries. Nevertheless, despite the fact that Iran has a rich literary and cultural tradition and other requirement, the development of this industry has been overlooked by the policy makers. The purpose of this study is to investigate the barriers to the development of the content industry in Iran. This research aims to be an applied paper with descriptive methodology which has conducted in two qualitative and quantitative phases. Accordingly, in the qualitative phase, research indicators were extracted based on the literature review and semi-structured interviews with 12 digital content industry specialists and then were categorized with the participation of experts. In the quantitative phase, the indicators were validated using factor analysis (first and second-order) and with the participation of 135 professionals in the digital content industry. The paper concludes that the development of the digital content industry is impaired by the lack of the access to science and technology and necessary infrastructure. Moreover, the industry is not supported by the government and that requires action planning.

One of the most important strategic competition approaches is to achieve stability in IT supply chain management, which creates information balance among decision-makers and further reflects in various dimensions such as economic, social, environmental, etc. The purpose of this study is to provide an interactive qualitative analysis (IQA) model of sustainable IT supply chain risks in knowledge-based firms. Based on the mixed research methodology, first, meta-synthesis and Delphi analysis were used to identify the components and risk propositions of the sustainable information technology supply chain. The participants in this section were 15 specialists and experts from academia. Then, in the quantitative phase, system representation analysis was used, in which 20 IT specialists in knowledge-based companies participated. Based on the research findings, three main components and 28 initial propositions were confirmed. After Delphi analysis, 21 final propositions were finalized to achieve theoretical adequacy. Then, the relationship between links and system effectiveness among the validated propositions was analyzed, and accordingly, the most motivating propositions and consequences related to each of the risks of sustainable IT supply chain in knowledge-based companies were identified.

Creative industries are one of the growing economic sectors, drawn from different aspects, the attention of researchers and policymakers around the world. In this regard, defining and evaluating the innovation in the creative industries is a vital step toward innovation assessment in the industries and is also a challenge for policymakers. In Iran, handicrafts are one of the sectors that are the subject of the most trade exchanges among the creative industries, yet, this field seems to require more innovation for gaining a strong presence in the international competition. This paper aims to shed light on how to attain these two goals. It starts to examine the indicators of innovation in handicrafts, and then, to find out their importance and correlation introduced by exploratory factor analysis. Finally, the paper findings consist of a framework of 17 key indicators under 5 main categories including implementation of innovation, human resource participation, external communications, training, learning, and focusing on organizational processes

One of the factors that determines which technology valuation method should be selected, is the set of special features of that technology in point and the context around it. This paper aims to identify technology valuation methods in the field of fermentation within the field of biotechnology as an important and widely used technology and rank the valuation techniques for them accordingly. The research methodology is based on a survey carried out and the data collection methods are interviews and distribution of questionnaires. After reviewing the literature, the paper presents its findings which shows 36 indicators identified as key indicators affecting the selection of appropriate technology valuation methods. These indicators are categorized in organizational policies, political and legal environment, and market and industry characteristics, as well as technology features category. Then, the technology valuation methods are ranked within the field of fermentation, by using the questionnaires of the TOPSIS decision-making model completed by technology management experts. The results show that "binomial model," "bargaining power," "Black Scholes" and "market-oriented" are, respectively, the foremost appropriate methods for technology valuation within the field of fermentology.