فصلنامه مدیریت توسعه فناوری
سال دوازدهم شماره 1 (بهار 1403)

This study has been conducted with the aim of examining the studies conducted regarding the challenges facing jobs and the future workforce under the influence of digital technologies. The method of conducting this research is a systematic literature review. The study community of the current research was the articles available in the field of digital technologies and the challenges created by them in the scientific databases of Emerald, Science Direct, Wiley, Taylor and Francis, Springer and Sage since 1998, which is 1225 sources. were identified and after applying the entry and exit criteria, their number was reduced to 79 sources. Finally, after evaluating the quality by removing 40 sources and using the Kasp method, 39 sources were selected for final review and coding. As a result of the coding process, 80 raw codes were extracted and placed in 7 final code categories. Also, to control the concepts resulting from the coding process, the resulting codes were provided to two experts. Finally, the challenges identified in the current research were classified into individual, psychological, occupational, organizational, moral, social and work-family conflict challenges.

Digital technologies are the result of human scientific advances in contemporary times, which have made serious changes in human life. The field of ethics and related concepts are not immune from these changes. Digital technologies have created new relationships and issues in this field. One of the most important concepts is the corporate digital responsibility, which deals with the ethical and fair use of digital technologies in companies. Considering the essential need to comply with laws and ethics in the field of digital technologies, the current research has investigated the opportunities and challenges of the concept of corporate digital responsibility. The present research is an exploratory research in terms of practical purpose in terms of gathering information. Also, this research is a type of mixed qualitative and quantitative research based on comparative and inductive philosophy. The findings of the research showed that better understanding of digital culture, greater transparency of information and digital democracy are among the most important opportunities for corporate digital responsibility. Unreliability of digital systems, discrimination through biased artificial intelligence and cybercrimes are also considered the most important challenging factors of corporate digital responsibility

The present article was carried out with the aim of presenting a supply chain sustainability model using blockchain technology based on an innovative strategy in the food industry. In terms of purpose, it is mixed, cross-sectional and research. 21 participants of the qualitative part were selected in a purposeful way until reaching theoretical saturation. In the quantitative part, 135 managers and experts of companies active in the country's food industry were used. The data collection tools are semi-structured interviews and questionnaires. Validity according to Lincoln and Goba's point of view and reliability was estimated as 0.652 based on Holstein's formula. Convergent validity and divergent validity, combined reliability and Cronbach's alpha were used to measure the validity of the questionnaire. Data analysis was performed in the qualitative part with the foundation data method and MAXQDA software, and in the quantitative part with the partial least squares method and SMART PLS software. Based on the paradigm model of the research, it was determined that blockchain technical platforms and blockchain management platforms provide the necessary background, and blockchain barriers in the supply chain play an intervening role. Innovative strategy leads to environmental, economic and social sustainability.

The development of the Internet of Things requires appropriate policies to use the capacities and solve its challenges. Governance is a policy-making function that increases the effectiveness of programs based on the participation of all actors. This research conducted with the aim of developing a governance model for the development of the Internet of Things in technological agriculture, using structural equation modeling. The statistical population of the research was 641 people active in agricultural technologies in the country, of which 314 people were surveyed by stratified random sampling method with proportional assignment. The data collection tool was a questionnaire whose form validity was obtained by surveying experts, convergent and divergent validity, and reliability by calculating variance extracted (AVE) and composite reliability (CR). The results showed that the Internet of Things plays an important role in the realization of sustainable agriculture by helping to improve product quality and optimal use of production resources, and the variables of production sustainability, transparency, foresight, law abiding and the development of infrastructure have the greatest impact in the designed governance model. The overall fit of the research model based on the GOF index was equal to 0.586, which indicates the desirability of the designed model.

Possessing product technologies is an inevitable necessity for a catch-up. Latecomers must strengthen their design capabilities to enter the innovation stage. A part of the design capabilities is created by developing and applying product technologies. Despite this necessity, most methods and tools for formulating technology strategy focus on process technologies (embedded in the company's value chain) and ignore product technologies. A precise conceptualization of the relationship between the product technologies and the design capabilities is also required. In this article, while separating product and process technologies, the relationship between design capabilities and product technologies is explained. Also, using the "design thinking" approach, a method for formulating a technology strategy is presented, in which both product and process technologies are considered. The implementation of the proposed method is shown with a practical example of 230-320 MW generators. Using the focus group, the validity of the method has been evaluated. The applicability of the method has been shown by implementing it in 21 subsidiaries of the Mapna group. The theoretical contribution and practical application of the research are discussed and further research is suggested.

the purpose of the current study was interpretive structural modeling of flexible manufacturing indicators in Saipa Group. This research is applied in terms of purpose and terms of research typology. It is among mixed research with a qualitative and quantitative approach in the deductive-inductive paradigm. Identifying flexible manufacturing indicators in Saipa Group was conducted through semi-structured interviews based on theoretical saturation with 26 university professors and experts in industrial management, business management and industrial engineering. The validity and reliability of the interviews were confirmed by the method of relative content validity and Cohen's kappa index, respectively. In the quantitative part, the opinions of 74 senior and middle managers of Saipa Group subsidiary companies were used with the available convenience sampling method to model flexible manufacturing in the automobile industry. The validity and reliability of the questionnaire were confirmed using content validity and the test-post-test method. Coding of interviews using MAXQDA2020 software led to identifying 13 main indicators of flexible manufacturing. Modeling of the identified indicators with interpretive structural method and mix-and-match analysis led to the formation of eight levels, the intelligentization of lines was the most effective and automation was the most effective index of flexible manufacturing in Saipa Group.