artificial intelligence

The use of artificial intelligence in the military industry by the Zionist regime has played a very prominent role in increasing its defense and military capabilities. This technology, by reducing the dependence on human power and increasing the accuracy and speed of reactions, helps them to carry out accurate and destructive attacks with the least physical presence in the field and reduce the risk of life for their forces.These innovations, in the context of the strategic vision of the Zionist regime, show that this regime is not only aware of the military opportunities resulting from the development of artificial intelligence but also seeks to identify possible future threats and deal with them. In this research, by referring to the documents published by the Zionist regime, its view on the indicators of the nature of the future of the war will be counted from side to side of the declaration texts. For this purpose, the relevant documents were examined by the method of qualitative content analysis, and the research was compiled.

The research method is based on the type of analytical-explanatory research, the type of applied goal, and the type of qualitative data. In this research, to review and analyze the data, the method of qualitative content analysis has been used. Qualitative content analysis, by focusing on understanding the meaning and structure of textual content, helps researchers to identify and analyze the patterns, themes, and concepts hidden in the data.In this process, first, the data were collected and entered into the MaxQD software in appropriate formats. Then, the relevant parts of the text were coded to identify key topics and concepts. These codes are organized hierarchically to show the structure and relationships between the data more clearly. In the next step, recurring patterns and themes were identified and relationships between codes were analyzed. Finally, the data interpretation was done to extract the results of the analysis and the findings were presented in a way that is in line with the main objectives of the research.

To analyze the effects of artificial intelligence on the future of wars, Carl von Clausewitz's theories about the nature of war were used. Based on these theories, the key indicators of the nature of war including violence, chance and probability, and the political nature of war were selected as the main criteria as follows.1- The political dimension of warFrom the point of view of the strategic documents of the Zionist regime, artificial intelligence can increase the political nature of war in the sense that war is the continuation of politics with other means. Israel's AI strategy is focused on strengthening long-term leadership in this field, applying AI for social and economic gains, and aligning with international approaches. The strategy also emphasizes the widespread use of artificial intelligence in the government and defense sectors and strong financial support for the development of this technology, indicating a desire to exploit artificial intelligence as a powerful tool in the realization of political goals. In addition, the codes that refer to multilateral cooperation, regulation consistent with international frameworks, and the use of artificial intelligence in decision-making and policy-making processes, show that the Zionist regime seeks to increase its political efficiency and flexibility through artificial intelligence.2- The dimension of luck and the possibility of warBased on the presented codes, it seems that from the point of view of the national documents of the Zionist regime, artificial intelligence can simultaneously increase and decrease the chance and probability of war; It depends on the type of use, transparency in decision-making and the regulatory environment. While AI can reduce human error by reducing human biases and improving decision-making accuracy, lack of transparency, vulnerability to technical failures, and lack of proper oversight can increase the chance of unexpected and unwanted events in war.3- The dimension of war violence From the point of view of the national documents of the Zionist regime, artificial intelligence can significantly affect the violence of war. These impacts can include increased risks and violence due to a lack of transparency, technical vulnerabilities, and arms race.

The Zionist regime, by focusing on the development of artificial intelligence, seeks to strengthen its strategic and military position. In the analysis of the effect of artificial intelligence on war violence, it can be seen that the Zionist regime has developed and exploited artificial intelligence technologies to increase war violence and improve accuracy in military operations. Artificial intelligence can help reduce the randomness and unpredictability of violence by providing advanced tools to analyze data and predict war scenarios. However, there are also challenges such as the possibility of algorithmic discrimination, security vulnerabilities, and the need for effective human supervision, which can lead to the occurrence of unwanted violence or increase its level. Regarding the index of chance and probability, artificial intelligence has two effects. On the one hand, this technology can reduce the probability of wars and facilitate crisis management by improving analysis and forecasting capabilities. On the other hand, the advanced capabilities of artificial intelligence and military capabilities may lead to new and more complex conflicts. Therefore, the impact of artificial intelligence on the chances and probability of wars depends on how it is used and the controls applied to this technology. In the context of the politicization of war, artificial intelligence significantly affects military policies and strategies. By exploiting the capabilities of artificial intelligence, the Zionist regime seeks to strengthen its decision-making power and improve strategic analysis. Artificial intelligence, as a tool for predicting and analyzing political and military complexities, can lead to strengthening the military power and political influence of the Zionist regime.Of course, investigating the effects of artificial intelligence on other aspects of warfare, including international interactions and changes in military strategies and policies, are important issues that require more attention and research.

Artificial intelligence is evolving and progressing remarkably, and its positive effects are visible in various fields. However, we have witnessed a significant decline in public trust in this technology worldwide in recent years. Statistics show that global trust in artificial intelligence has decreased from 62% in 2019 to 54% in 2024. This downward trend highlights the need to examine the factors affecting trust in artificial intelligence. This study uses the Social Presence Theory to examine the impact of anthropomorphizing AI-generated Advertising content on individuals' trust in this technology, where social presence serves as a mediating variable in the process. The research was designed experimentally and data were collected from people living in Tehran through a questionnaire and non-probability sampling method. In total, 152 valid responses were received from participants. SmartPLS software was used to analyze the data. The empirical findings of this study show that a friendly and sincere tone in AI-generated content, as a symbol of anthropomorphism, increases social presence. Social presence, in turn, positively affects trust and mediates the relationship between anthropomorphism and trust. Furthermore, trust in AI-generated content improves customer attitudes. These results have important practical implications for marketers and developers, suggesting that using a friendly tone in AI communications can foster trust and improve customer attitudes.

The rise of artificial intelligence and machine learning in digital currency transactions has created complex ethical considerations that require a thorough review of responsible regulatory approaches. This research has expanded this need by using a result-oriented theoretical framework, emphasizing the results of the deployment of artificial intelligence and machine learning in this sector and its effects on the stakeholders, and relying on important case studies, such as Sam Bankman and An extensive review of relevant sources examines the ethical implications of artificial intelligence and machine learning in the context of cryptocurrency trading.

The present research is practical in terms of its purpose and as a research tool, it is documentary and library, and the information collected using library resources that have been analyzed by descriptive-analytical method.

Ethical Considerations: 

In this article, the originality of the texts, honesty and trustworthiness are respected.

Using a consequentialist perspective, this study emphasizes the importance of balancing the transformative potential of artificial intelligence and machine learning with ethical considerations to ensure market integrity, investor protection, and overall well-being in digital currency transactions.

By comparing consequentialism with other ethical theories that can be used to exploit artificial intelligence and machine learning in digital currency trading, the author proposes a framework for the typology of artificial intelligence and machine learning trading.

Artificial intelligence technology has been used both personally and industrially for years. Artificial intelligence and other digital technologies have the power to transform society and affect the process of economic development. However, their development requires adequate safeguards to reduce the risks of harm resulting from these technologies, such as physical injury or other harm. The purpose of this article is to investigate the civil liability resulting from the use of artificial intelligence in the European Union.

This article is Developmental type, descriptive and analytical. Materials and data are also qualitative and data collection was used in collecting materials and data.

Ethical Considerations: 

In this article, the originality of the texts, honesty and trustworthiness are respected.

There are regulations in this regard in the European Union. If damage is caused by artificial intelligence. These damages are compensated based on the responsibilities defined in private law, especially the civil liability law, and possibly with insurance.

Any damages caused by the use of artificial intelligence technologies are subject to strict legal liability for damages and the operators of these technologies are responsible for these damages. Also, producers of products or digital content must be responsible for damages caused by defects in the products, even if changes have been made by the user. It can be said that even in situations where damage is caused to a third party, these damages and losses must be compensated.

With the increasing development of technologies and communication methods, the use of digital marketing to advertise and promote services and products has become very important. One of the industries that benefit from these methods is the medical tourism industry. Also, considering the ever-increasing growth of technology and the widespread use of the Internet in different societies, the use of artificial intelligence and related technologies is very important. Therefore, the aim of the current research is to identify the effective factors on digital marketing in medical tourism with an emphasis on artificial intelligence (case study: Tehran). This research is a survey in terms of practical purpose and in terms of data collection. The statistical population of the research included 53 medical tourists from Tehran, who were selected to participate in building the model. For this purpose, the conceptual framework of the specific model and the data were analyzed using tools and techniques of fuzzy cognitive mapping and social network analysis. The results showed that several factors are involved in digital marketing in medical tourism with an emphasis on artificial intelligence (case study: Tehran city), including site optimization and branding factors in search engines, marketing targeting, better evaluation of marketing campaigns and better feedback from Audiences were the most important in order; Because they were more central.

Although new technologies, such as artificial intelligence, are transforming the public relations and communications profession, there is a scarcity of research on the impact of artificial intelligence in this field. In recent years, significant advancements in artificial intelligence technology have prompted organizations to seek solutions for enhancing the efficiency and effectiveness of their public relations unit. Additionally, knowledge management serves as a crucial element in improving processes and decision-making within this unit. Consequently, there is an urgent need to design models that comprehensively examine the application of artificial intelligence within the public relations departments of organizations. However, comprehensive and practical frameworks for assessing the integration of artificial intelligence into current public relations practices are still lacking. Many organizations continue to rely on traditional and inefficient methods for managing their communications, failing to harness the potential of artificial intelligence. Additionally, a lack of awareness and insufficient training regarding these technologies among public relations professionals has hindered their acceptance and implementation. Therefore, this article aims to develop a model for utilizing artificial intelligence to transform the procedures of public relations unit in organizations, with a particular emphasis on organizational knowledge management, based on grounded theory. In this context, the present study seeks to identify the causal conditions, intervening factors, phenomena, background conditions, strategies, and consequences associated with the implementation of artificial intelligence in public relations departments by examining the experiences of professionals and students engaged in related fields.

The current applied research is based on an interpretive (constructivist) paradigm with a qualitative approach, specifically focusing on data-driven theory to develop a model for the application of artificial intelligence in the public relations units of organizations. The statistical population for this study included faculty members, experts, and students engaged in the fields of public relations, human resource management, artificial intelligence, and psychology. A purposive snowball sampling method was employed to select the research sample, continuing until theoretical data saturation was achieved. Data collection was conducted through semi-structured interviews with experts, sociologists, and selected students from the relevant fields, resulting in a total of 17 participants being interviewed, which marked the point of theoretical saturation. Each interview lasted between 60 and 65 minutes. Following each session, the interview content was transcribed from the recorded audio files and manually coded using the systematic approach developed by Corbin and Strauss. The interview transcripts were initially coded and categorized paragraph by paragraph, followed by a comprehensive coding and categorization process conducted in three stages. After coding all 17 interviews, the researchers reviewed the codes, eliminating duplicates and merging similar codes. Ultimately, the causal, contextual, intervening, strategic, and consequential conditions related to the central theme of utilizing artificial intelligence within public relations units were identified. To ensure the validity of the research, triangulation and external validation through a third-party reviewer were employed. The reliability of this qualitative study was further confirmed by recording participants' voices with an interview recorder, meticulous note-taking during interviews, and involving a second coder who achieved an agreement coefficient of 86%. Finally, after incorporating feedback from three experts overseeing the research process, necessary revisions were made, and the final research model was constructed based on the systematic approach of data-driven theory.

Based on the analysis and review of the interview transcripts, along with the coding and categorization process, a total of 101 open codes were identified, highlighting the causal, contextual, intervening, strategic, and consequential conditions related to the central theme of utilizing artificial intelligence in the public relations units of organizations. The motivations for employing artificial intelligence in these units were classified into four main categories: efficiency and productivity, enhancement of customer service, market research and analysis, and innovative aspects. Contextual factors were divided into two categories: technological conditions and organizational conditions. Intervening factors were categorized into two primary areas: market conditions and social/legal conditions. Strategies for implementing AI were identified across five categories: training and empowerment, culture building, fostering coordination, operational strategies, and promoting awareness and motivation. These strategies are anticipated to lead to improved communication, process optimization, enhanced credibility and transparency, reduced communication quality issues, and addressing technical and operational challenges, all of which play a crucial role in the effective utilization of artificial intelligence within public relations units. Ultimately, this research offers significant insights for managers regarding the transformative potential of AI in public relations practices. Through a rigorous qualitative methodology grounded in empirical data, it sheds light on the opportunities and challenges associated with integrating AI into public relations. As organizations navigate an increasingly complex communications landscape, adopting AI technologies is vital for enhancing efficiency, improving stakeholder engagement, and maintaining a competitive edge. By identifying key components and developing an applied model for optimizing public relations practices through AI, this study explores the causal, contextual, intervening, strategic, and consequential conditions for AI implementation in public relations departments and aims to provide practical solutions to facilitate digital transformation within organizations.

Research limitations:

 Despite yielding valuable findings, this research has several limitations. The research methodology is a primary limitation of the present study. Although data were collected through semi-structured interviews and adhered to scientific principles, the small sample size may limit the diversity and representativeness of the results, potentially impacting the overall conclusions. Future researchers could enhance the qualitative data obtained from interviews by incorporating quantitative data, thereby providing a broader perspective on the research problem. It is recommended that future studies explore the role of human creativity in conjunction with artificial intelligence in public relations. This approach could help identify the strengths of both domains and offer solutions for more effective collaboration between humans and machines. Based on the findings of this research, organizations are encouraged to implement continuous training programs for their employees focused on artificial intelligence and its applications in public relations. Such initiatives can help develop the necessary skills for the effective and efficient use of these technologies. Given the rapid pace of technological change, organizations must continuously analyze market trends to leverage the latest innovations. Implementing artificial intelligence-based tools within public relations departments can significantly benefit organizations by enhancing their ability to adapt and thrive in a dynamic environment.

Originality/value: 

Considering the rapid technological advancements and the necessity to enhance efficiency in organizational communications, this research offers valuable insights for managers on how artificial intelligence can transform public relations practices within organizations.

To effectively leverage artificial intelligence (AI), organizations need a comprehensive understanding of their AI maturity level. Assessing AI maturity can serve as the first step in developing a digital transformation roadmap and AI strategies. This study aims to present a comprehensive framework for evaluating organizational AI maturity. The research methodology employed is a systematic literature review. Through this process, after screening and assessing the quality of scientific articles and consulting reports, 31 selected documents were analyzed. The findings indicate that key dimensions of AI maturity include strategy and leadership, organization and culture, data, technology and infrastructure, operations, decision-making, ethics and regulations, security, and privacy. Additionally, it was found that existing maturity models primarily focus on technical and managerial aspects, with less attention given to social, legal, and ethical dimensions. By conducting a comparative analysis of various AI maturity models, this study proposes a comprehensive framework for assessing organizational readiness in adopting and developing AI, which can serve as a guideline for policymakers and organizational managers.

With the development of technology, artificially intelligent beings have been used in almost all areas of our daily lives. It is expected that these beings, which are currently at the service of humans and facilitate their work, will reach human level in the future and be able to perform some professions. These developments also bring with them numerous legal and criminal questions. What is the legal status of artificially intelligent beings, who is criminally liable in the crimes that arise from their use, and what is their role in the criminal proceedings, are among the questions that need to be answered. The purpose of this study is to provide a general assessment of these questions by considering legal regulations. The study methodology is descriptive-analytical. In this study, we have reached the conclusion that AIs are in the position of “property”, cannot be held liable for crimes resulting from their use, and although they have an important contribution to the criminal justice process, they cannot replace the subjects of the proceedings (judge, prosecutor, lawyer). In this context, the current legal regulations are largely capable of resolving the problems that have arisen. However, if AIs are to reach the status of “humans” as fully independent and self-aware entities, fundamental changes will be needed in our legal system. 

Artificial intelligence is a emerging phenomenon in the field of technology that, according to scientists' predictions, will significantly transform many aspects of life in the near future and bring about important changes in the course of human existence. With the continuous advancement of technology, questions arise regarding its impacts and roles in everyday life and society. This research aims to answer the fundamental question of the conflicts that artificial intelligence faces with human rights and citizenship if it possesses legal personality, using a descriptive-analytical method and collecting the necessary information and resources through a library-based approach. The findings of the research indicate that, according to researchers and scholars in this field, granting legal personality to artificial intelligence is necessary. They believe that by granting personality, AI entities can become parties to contracts, own property, and bear responsibilities. However, some argue that artificial intelligence should not be granted legal personality, as it would create ambiguity in the boundary between humans and non-humans and it undermines human rights and citizenship with its interferences and conflicts. Therefore, they suggest that AI should remain under human control. Furthermore, this research has proposed models for the legal personality of artificial intelligence, and it has identified the challenges and conflicts that AI faces in relation to human rights and citizenship, such as Automatic performance of military weapons, privacy violations, job displacement, social manipulation, fake news, and more. Solutions to address these challenges have also been outlined.

The rapid increase in the use of artificial intelligence comes with challenges and threats. Among these challenges, we can mention the use of unethical solutions, ignoring users' privacy, security concerns related to cyber, fraud and imitation as well as discrimination and inequality. On the other hand, most artificial intelligence technologies act as black boxes and their exact functionality is not known. In this regard, there is a need to formulate rules and regulations of artificial intelligence, as a supporting framework in the design, construction and safe use of this technology. Iran is also facing these challenges; therefore, the need for legislation in the field of artificial intelligence is needed; while no law has been formulated in this field and even the legislative authority for artificial intelligence has not been specified. Therefore, in this research, by examining the laws and policies made in the field of artificial intelligence in the leading countries of the world and considering the needs of the country, suggestions are presented for legislation in the field of artificial intelligence in Iran.

Machine learning technologies are expected to increasingly affect people's daily lives. The next generation of children will be most affected by this technology; because they will be born and raised in an era of big data and machine systems that will affect their life decisions from education, access to credit and job opportunities, and many other things. In this article, the effects of artificial intelligence on children's human rights have been investigated and solutions have been tried to protect children's rights in the dynamic world of technology and artificial intelligence. In addition, the impact and interaction with human rights and especially children's right to education and respect for privacy, freedom of expression, and prohibition of discrimination are important issues that the main guardians such as companies, parents, and governments should address.

In today's economy, small and medium-sized enterprises (SMEs), especially those offering advanced technology products and services, strive to seize opportunities in the international market. As their primary clientele consists are businesses and grapple with domestic demand challenges, identifying effective B2B marketing strategies from knowledge-based companies can serve as a blueprint for other firms, helping to mitigate their risks. The aim of this study is to develop a model for B2B marketing strategies suitable for SMEs operating in various industries and locations by analyzing the successful strategies employed by knowledge-based companies in the international market, without being constrained to a specific industry or region. To gather research data, semi-structured exploratory interviews were conducted with managers from 27 knowledge-based companies, utilizing a storytelling approach. The collected data were subsequently analyzed using thematic analysis, and the Importance-Performance Analysis (IPA) method was employed to compare the current and desired states of B2B marketing strategies within the knowledge-based business ecosystem. Ultimately, 25 strategies were identified and categorized into five groups based on their objectives and processes: Insight Generation (Market Research), Awareness Building (Digital Marketing and Brand Awareness), Skill Enhancement (Negotiation and Bargaining), Synergy (Collaboration and Networking), and Trust Building (Value Creation and Competitive Advantage). The findings also reveal that strategies such as “offering customized proposals,” “providing rapid and integrated after-sales services,” and “utilizing AI tools in market research” are highly important but currently underperforming among small and medium-sized knowledge-based companies. It is recommended that businesses focus on establishing international collaboration networks with other companies and research institutions. For instance, knowledge-based companies in the biotechnology sector can collaborate with universities and research centers in target countries on green and sustainable technology projects to showcase and present their capabilities and capacities. Furthermore, the Vice Presidency for Science and Technology and the Ministry of Industry, Mine, and Trade can play a pivotal role in promoting these companies’ products and services in global markets by organizing joint international exhibitions where Iranian knowledge-based companies can demonstrate their capabilities.

Employer branding, as an innovative concept, bridges brand management in marketing and human resource management. It plays a critical role in offering effective branding strategies in the electric power industry. This study aims to prioritize the key components influencing AI-based employer branding in Iran's electric power industry using the Fuzzy Analytic Hierarchy Process (FAHP).

The research follows a quantitative, descriptive, and applied approach. The statistical population includes experts from the electric power industry and marketing professors from universities. Data was collected using a researcher-made questionnaire, whose validity was confirmed through the fuzzy Delphi method and expert opinions from five specialists, while reliability was assessed through inconsistency rate analysis. The data was then processed using FAHP. The quantitative section of the study was expert-driven, with 15 experts completing the FAHP pairwise comparison tables. The analyses were performed using Smart PLS software and FAHP techniques.

The results showed that the most significant components influencing AI-based employer branding in the electric power industry include employee retention, employee productivity, differentiation from competitors, job satisfaction, and efficient recruitment.

Internal marketing management for current and potential employees was found to have less impact on employer branding. These insights can assist managers in the electric power industry in designing more effective strategies to strengthen their employer brand.

Chatbots are a modern manifestation of artificial intelligence that are now placed for public interaction and conversation with individuals. They can engage in a two-way interaction with a user, responding to their questions and even offering suggestions. This system is based on the capabilities arising from the development of artificial intelligence and is continuously advancing. Among these, the legal issue concerns whether chatbots are responsible for what they respondand whether what they provide is their intellectual property. Essentially, can personalities be attributed to chatbots? The present article finally concludes, with the analytical-descriptive approach, that chatbots may potentially possess a degree of personality in the future, but in current circumstances, the effects and content provided by chatbots are attributed to their owners and creators. Although their development and the reinforcement of chatbots' autonomy can pose numerous challenges to classical legal theories.

This article is a speculative essay on the future of the teaching profession, offering a new perspective for reflection in this area. The author argues that under certain conditions, teaching cannot be entrusted to machines. The subtle differences between the actions of a teacher and a pseudo teacher lie within these conditions. If these conditions, based on the theories presented in the article, are used as the criteria for judgment, artificial intelligence and machines cannot replace teachers but will instead act as catalysts alongside them. However, if we move away from the realities of actual teaching practice, not only can machines perform this role and even replace teachers, but such a replacement should be embraced as a smart policy. The article also distinguishes between two states of teaching—namely, true teaching and pseudo teaching—using the expressions "teacher as nurturer" and "teacher as instructor", respectively. It concludes that for longevity in the teaching profession, practitioners must adopt a "teacher as nurturer" approach and strengthen their qualities in this area. Concepts such as the teacher as a curriculum maker and the teacher resistant to artificial intelligence are also introduced to expand this perspective.

The present study examines the effect of artificial intelligence and smartization on improving students' academic level in chemistry. This study was conducted at Mohammad Rasoullah School in Shahr-e-Quds, Tehran Province, by Maryam Dehghan, a chemistry teacher with 22 years of teaching experience. The main topic of this study is how to utilize modern technologies to increase the quality of teaching and learning in chemistry, and its goal is to analyze the results of using artificial intelligence and smartization tools in the teaching process for eleventh grade students.This study, with a qualitative and quantitative approach, used various data collection methods such as questionnaires, classroom observation, and educational data analysis. Also, using smart software and educational platforms, the students' learning process was analyzed and the effect of these tools on improving chemistry learning was examined. The results of the study show that the use of these technologies increased students' motivation, improved their understanding of complex chemistry concepts, and improved their academic performance.This research is of great importance, because it can pave the way for new teaching and learning methods, especially in the current situation where distance learning and the use of new technologies are expanding day by day. In addition, this research can pave the way for further research on the use of artificial intelligence in other subject areas.

This article examines the risks of using virtual reality technology to achieve criminal law objectives. In the first step, by reviewing scientific studies to determine the nature of virtual reality, it has been identified as a non-invasive neural technology that has high-risk artificial intelligence. At the same time, it introduces it as a transformational neural technology that can alter what people perceive as reality. This capability is referred to as "realism" which represents the emotional immersion of the user in a virtual experience. The implications of this capacity reveal three key risks, which are: (1) the ability to collect extensive data stored during its use; (2) the ability of virtual reality to mentally recreate the "physical" avatar experience in the user; and (3) its considerable capacity for manipulating individuals. In the second step, this article examines potential criminal activities in virtual environments, focusing on violations of mental privacy and manipulation of users. Ultimately, it is suggested that criminal law should intervene to define the "red line" of extensive use of virtual reality by citizens and outline a legal framework for criminalizing associated harms and dangers. Therefore, formulating a comprehensive criminal policy and prevention encompassing laws tailored to the evolving technology is imperative.

The Spring 2025 issue of Smart Strategic Management, continuing its interdisciplinary and forward-looking mission in the field of strategic management, features six innovative and practical articles. Each of these articles portrays a distinct view of the emerging needs and technological capabilities of organizations in today’s turbulent world. From designing intelligent models for segmenting corporate clients in banks using distributed neural architectures, to analyzing organizational maturity in implementing artificial intelligence, from designing value-based strategic models in business training to examining fintechs and their vital role in bank stability, all of these articles demonstrate that today's management is no longer able to respond to complex environmental challenges without utilizing technology, customer emotional insight, and advanced analytical frameworks.
By combining theoretical, technical, and applied aspects, the research in this issue both enhances the strategic management literature and provides effective tools for decision-making to managers, policymakers, and researchers. The overall approach of this issue is to emphasize the "synergy between technological innovation and social responsibility"; where ethics, alongside algorithms, find meaning, and artificial intelligence, in conjunction with human values, can build trust and bring sustainable competitive advantage to organizations.