This paper discusses the application of the Technology Development Envelope (TDE) as a road mapping tool in combination with the Delphi method and the Analytic Hierarchy Process (AHP). The method helps policy and decision-makers in organizations strategically manage emerging technologies by mapping their anticipated development path. The paper focused on creating a Technology Development Envelope (TDE) for artificial intelligence (AI) technologies in the food industry. In the first step, an expert panel identified a list of AI technologies applicable to the food industry. A hierarchical decision-making model, comprising 5 criteria and 24 sub-criteria for technology evaluation, was extracted from the literature and validated using the Delphi method. The Analytic Hierarchy Process (AHP) was used to determine the relative importance of criteria and sub-criteria for evaluating the identified technologies. At this stage, the most important criteria considered were food safety and social and political acceptance of the technology. The expected value of each technology was calculated over different periods, resulting in the development of the Technology Development Evaluation (TDE) for AI technologies in the food industry within a ten-year horizon. The analysis of the future indicates that technologies such as computer vision, robotics, industrial automation, and machine learning will undergo continuous improvements over time and eventually become dominant technologies in the food industry. These advancements can lead to an increase in quality and efficiency within the food industry. Finally, sensitivity analysis was conducted to test the model's sensitivity and explore how policymakers' extreme strategies affect the model's outputs.

Introduction: From a long time ago, benefiting from technology has been an inevitable thing for human interests, which is born and based on science. It can be claimed that there is harmony between ethics, science and technology, which promote each other. In this article, the researcher discusses this harmony and compatibility. Material and Methods: The current review study was descriptive and using the study of sources and research keywords among the books and articles published in the databases of Thomson Information Institute, Science Direct and Pub Med. Conclusion: As science and technology continue to advance and become more integrated into our daily lives, ethical considerations become increasingly important. For example, the rise of artificial intelligence (AI) has raised questions about the potential implications of creating machines that can make autonomous decisions and take actions. If science and technology were considered as a tool, it should have been able to subjugate humans and influence all aspects of behavior and values. While it has become a problem that eventually becomes aligned with morality by applying reason, and people now seek help from it as a tool.

Resource management, especially suitable resource allocation, is one of the concerned issues in organization. In this article, we proceed for a real problem in which decider want to select a group among decider units (DMU), to achieve two desired goals: first, because of extra cost involvement caused by maintenance, decider inclined to use more his accessed resources. And second, decider likes to select units that established group posses most set efficiency. In this article a integer programming model based on data envelop analysis is introduced for selecting a group with most set efficiency which realizes concerned conditions of decider. 

Due to technological development, customer expectations have increased in various dimensions. In the service systems, customers value customer experience, convenience, and speed of service delivery. Utilizing Industry 4.0 technologies is one of the main strategies facing banks for survival and growth in such an environment. A technology roadmap is a tool that helps decision-makers identify and evaluate different options to achieve technological goals. In this article, after reviewing the background, six Industry 4.0 technologies were identified in the field of banking, including omnichannel banking, branchless banking, blockchain-based banking, social media banking, open banking, and robotics in banking. The value of each technology was calculated in two-year time intervals based on financial-economic, performance, and user experience criteria, using a combination of the technology development envelope model and the best-worst method. Then a ten-year technology roadmap was created for the Iranian banking industry. The findings show that although social media banking currently seems to be the most attractive technology for the Iranian banking industry, in the coming years, omnichannel banking will be the dominant technology in this industry in terms of attractiveness and value creation.

One of the issues preoccupying economic planners is effectiveness of different enterprises working in economic sector. Culture is an important pillar of the society that through ensuring effectiveness in economic sense brings about effective developments in the society. The main objective of the present paper is to determine and analyze the effectiveness data of provinces in economic indexes of culture. By employing data envelop analysis method and using the existing data related to 2000-2007 as well as the official cultural statistics, attempts have been made to measure the capability of each province or their relative effectiveness in utilizing the existing resources in the cultural sector. The findings of the research indicate that during the Third Development Plan, Tehran, Qum and Kerman provinces enjoyed the highest effectiveness figures. During the first three years of the Fourth Development Plan, Tehran, with a great gap, is still at the top of the effectiveness table. Compared to the Third Development Plan, the highest decline in effectiveness goes to Kerman, Qum and Sistan provinces. Also, the highest increase in effectiveness figures belong to East Azarbaijan, Chahar Mahal-o-Bakhtiari, Hormozgan and Lurestan provinces. The sensitivity index analysis shows that the productions of the State-run Television was the most sensitive model index, while Semnan Province had the highest effectiveness.

Considering the present situation of Science and Technology trends, shows the inefficient system of technological activities in Iran. With reference to the new responsibility of the Ministry of Science, Research and Technology in Islamic Republic of iran, and based on Iranian Five Years Plan for economical, social and cultural development, this study looks at the main dimensions( legal framework, human resource, Institutions, infrastructure and management) of the technology development system. The main output of this research consists of the preparation of an analytical study which intended to serve as a strategic framework and operational tools for policy making in technology development at the national level.

Blockchain technology is the first successful Bitcoin Network. It enables the ledger to become more decentralized and secure. Since it is not limited to bitcoin and controlled by third parties by government, corporations, or banks, the technology is capturing several industries, including cryptocurrency, infrastructure& hardware, financial technology, Internet & mobile and so on. Blockchain is used as a public ledger to verify all peer-to-peer system transactions and maintain traded bitcoin spending from central authorities while bitcoin has distributed transactions. Achieving high Blockchain-based performance and privacy & security are global issues that are desire to be overcome as claims show they are still significant challenges in many Blockchain applications. This paper presents an introduction to Blockchain and the process of this technology in the way of outlining Blockchain types. Also, recent advances, challenges, real economy integration, and current situations of this technology have been listed.

Technology development as a major and vital strategy for sustainable development and knowledge-based economy is an inevitable fact which must be studied from various aspects and the benefits of its different approaches also be considered. The paper discusses the concepts of technology development, technology transfer, technology cycle as well as the industrial ecosystems required for their proper utilization. Considering and using the concept of technology cycle in technological processes within a proper environment can create sustainable economical value and facilitate the TBF & TNBF activities. The reasons why technology cycle in a proper environment can make sustainable economical value through models of innovation enhancement, promotion of research investment, increasing the technological training capacity and extending research institutions are also discussed and studied.