نشریه سیاست نامه علم و فناوری
سال چهاردهم شماره 3 (پیاپی 48، پاییز 1403)

Business intelligence (BI) systems are implemented by organizations to extract knowledge and insights from their data, enabling them to make efficient and effective decisions. However, statistics indicate that over 50% of BI projects fail. Numerous studies have attempted to identify the factors influencing the success of these systems. However, varying definitions of success have led to different findings. To address this issue, a qualitative and fundamental research study was conducted using a meta-synthesis method. The aim was to identify and introduce the dimensions and components that impact the success of these systems. This study identified 33 components and 5 dimensions that contribute to success. Additionally, a clear definition of the success of business intelligence was established, aiming to resolve existing contradictions. the findings of this research have significant implications. Practitioners in this field will gain a comprehensive understanding of the variables they should prioritize at every stage of the system's life cycle, enhancing their decision-making processes. Moreover, researchers in the field of information systems success will benefit from a deeper understanding of the available studies from the past decade.

The present research presents a blockchain-based peer-to-peer accommodation service acceptance model in the tourism industry. The research method is of an applied type and was carried out with a hybrid approach (a mixture of qualitative and quantitative methods), using thematic analysis, Max-Kuda software, structural equations, and SmartPLS and Mikmak software. The tools of data collection are interviews and questionnaires, and the sampling method in the qualitative part is purposeful judgment and in the quantitative part, it is simply random. The statistical population in the qualitative section included 15 experts in the tourism industry and university professors who were selected by the purposeful judgment sampling method. The tool for collecting information in this section is a semi-structured in-depth interview. In the quantitative part, the statistical population including managers and employees active in the field of tourism was identified, and using Cochran's formula and sampling method, it was estimated that 384 people were available, and 400 questionnaires were distributed. By analyzing the data, 16 main categories and 180 concepts were extracted, and finally by determining the causal conditions (technology factors, digital platform, legal factors, accommodation economy and circular economy), contextual conditions (perceived quality of peer-to-peer accommodation services, benefits Perceived economy of peer-to-peer accommodation services, perceived authenticity of the destination, perceived identity of the destination), intervening conditions (blockchain type, system ownership), central category (acceptance of blockchain-based peer-to-peer accommodation services), strategies (social incentives, (increasing social interactions, creating shared value) and consequences (loyalty and competitive advantage) of the blockchain-based peer-to-peer accommodation service acceptance model in the tourism industry was presented.

Massification of higher education appeared as a universal sociological movement based on the role of universities in improving the prospects of individual and social life. The quality, effectiveness and usefulness of this trend in Iran, despite the creation and expansion of the opportunity for people to achieve higher education, is controversial in the Iran. The most important aspect of this situation is the doubt in the increase of supply over the demand for higher education and the existence of the capacity to accept excess or obvious empty seats. In this study, while explaining the theoretical background of the formation of this phenomenon, a model was created to establish a stable balance between the supply and demand of higher education in the transition to post mass. This model, which was created by the Chams Grounded Theory and spiral analysis and synthesis of the views of 14 higher education experts, is composed of a logic, related and complementary components, and macro requirements. The logic of this model is critical rationality; This means that it is necessary for the university's critical and adaptive dialogue with society and its subsystems to be the basis for estimating the demand and supply of higher education. With this rationality, through five components, it includes future research of scientific fields, land-use planning, quantitative and qualitative demographic trends, attracting the participation of social stakeholders, and evaluating the scientific and equipment capacities of the university. From these components, in relation to each other, the necessary data is obtained to estimate the demand and supply of higher education. The effective establishment of this model in universities requires avoiding ideological interventions in higher education, decentralization in determining student acceptance capacity, transparency and social accountability of universities, and structural monitoring based on information systems.

The structure and dynamics of the international system are currently undergoing change due to the emergence and rapid development of artificial intelligence (AI). This phenomenon is considered dangerous and disruptive, as it has the potential to reshape various aspects of society. It can be said that the world lacks a clear plan for managing the phenomenon of artificial intelligence (AI), and countries are currently experiencing a period of conflict between fear and excitement when confronted with AI. In this conditions, there is a noticeable performance gap between companies and government rulers in managing the various dimensions of artificial intelligence (AI). While multinational companies and international investors are investing significant amounts of money in the growth and development of AI, many rulers are attempting to control and limit its expansion. They perceive the emergence and expansion of AI as a threat that could undermine human power and challenge human control. Considering the profound impact of artificial intelligence on the structure and manner of global governance, this article aims to answer the question of what scenarios and strategic considerations exist in a world full of conflict and interaction between artificial intelligence and human governance by GBN (Global Business Network) model . The research methodology for collecting data in this study involves utilizing new documents in the field of artificial intelligence and conducting interviews with experts and researchers in the field and holding experts Panel. The findings indicate that in the not-so-distant future, supercomputers equipped with artificial intelligence will possess capabilities for cognitive manipulation and…to create a strong dependence on humans and confront them with 4 scenarios and reach an amazing level of ability to play a role in governance. Despotic artificiality, separation of civilizations and super-intelligent colonialism face each other, the realization of each of them requires attention to special strategic considerations.

Academic entrepreneurship is an approach and necessity for the future of university to have a more effective presence in the entrepreneurial ecosystem by expanding entrepreneurial activities and provide the conditions for the sustainable development of the society around them. Therefore, this study sought to design a model of entrepreneurship development in Sari Agricultural Sciences and Natural Resources University. The general research approach is qualitative. Using the purposeful sampling method, 42 people were selected from among the entrepreneurship experts and pundits of the province. The required data were collected through semi-structured interviews and analyzed using the grounded theory paradigm model. The validation of the obtained findings was confirmed through member checking of the findings and the triangulation technique. The results showed that the six components of causal factors (improvement of individual and organizational conditions), background factors (proper management conditions, proper trust building), intervening factors (cultural-legal drivers and financial-technical guys), development Entrepreneurship (intra-organizational interests, extra-organizational interests), strategies (educational-cultural, policies and support programs) and consequences (social, economic, individual, organizational) are the main components of the development of academic entrepreneurship in Sari Agricultural Sciences and Natural Resources University.

In the current global trend, financial organizations strive extensively towards smartening finance to derive the benefits of digitalization. In such an effort, Financial Technology (Fintech) involves usage of several contemporary disruptive technologies such as AI, 5G/6G, Blockchain, Metaverse, IoT, etc., in financial industry to add value to the customer services. By the inception of technology, several major financial services and processes such as lending, verification, fraud detection, quality maintenance, credit scoring, and many more will be simplified and augmented. However, there is a need for research and innovation of disruptive financial products and the enabling ecosystem of technologies. Consequently, several tech-giants have focused their attention on Fintech to introduce Information and Communication Technology (ICT) solutions. In this manuscript, firstly, we envision the future trends and driving applications of Fintech that would emerge during 2030. Further, we attempt to provide a high-level framework of the enablers of Fintech including IoT, 5G, Digital twins and Metaverse for certain use cases. In addition, we provide directions for future Fintech research while anticipating the challenges ahead.