Artificial Intelligence in Publishing: Stewardship in a Digital Era

Examining the impact of artificial intelligence on employee performance in the digital era: An analysis and future research direction

The digital era has transformed the conventional learning paradigm towards technology-based learning, especially with the emergence of Artificial Intelligence (AI) that offers the potential for learning personalization. In the context of Islamic Religious Education (PAI), AI integration faces specific challenges related to the validity of religious content and the maintenance of the spiritual dimension. This research aims to analyze the strategy of using AI as a means of learning for PAI students in the digital era, identify the potential and challenges of its implementation, and develop a learning model that is in line with Islamic values. The research uses a Mixed Method with a Sequential Exploratory Design approach. Qualitative data was collected through in-depth interviews with PAI students, classroom observations, and documentation. Quantitative data was obtained through a structured survey of 72 respondents of PAI students using Google Form. The findings show a gap in learning quality where only 30-40% of lecturers apply optimal learning strategies. PAI students showed a high acceptance of AI with 71% using it for reference search, 61% finding it helpful in understanding difficult concepts, and 52% using it for material summaries. However, the impact on discussion confidence is still limited (38%) and its use in learning routines is situational (39% consistent), so the integration of AI in PAI learning has great potential to improve learning personalization and efficiency of access to Islamic knowledge resources, but requires a hybrid learning model that positions AI as a reinforcement of human teaching without replacing the essential role of lecturers in the transmission of values and spiritual guidance. The development of a phased implementation framework that includes standardization of learning quality, improved AI literacy, and ethical considerations that are in line with Islamic values is needed

This article discusses the challenges and opportunities of using Artificial Intelligence (AI) as a supporting tool in business decision making in the digital era. In the context of growing digitalization, AI plays an important role in improving operational efficiency and accuracy of data analysis, which has a significant impact on various aspects of business, including audit, finance and accounting. This research uses a literature study method to identify the challenges and opportunities faced by companies in implementing AI. The research results show that AI can increase efficiency and productivity, as well as provide more accurate predictive analysis. However, the application of AI is also faced with challenges such as the need for sophisticated technological infrastructure and ethical risk management. By utilizing AI, companies can make real-time data-based decisions, understand market trends, and innovate products that suit consumer needs. This article emphasizes the importance of adapting to new technologies to achieve business goals in the digital era.

Social influences in the digital era: When do people conform more to a human being or an artificial intelligence?

The rapid expansion of digital transformation across industry, government, education, healthcare, and finance has positioned Artificial Intelligence (AI) as a central driving force of societal change. AI technologies are being integrated into diverse domains, restructuring industrial systems, innovating public services, and enhancing personalized quality of life. They significantly improve efficiency and productivity while creating new markets and employment opportunities. In particular, the rise of generative AI marks a qualitative shift in the technological paradigm, extending its influence into high-level human activities such as information creation, creative work, and decision support. However, these technological advancements and societal diffusion simultaneously generate a range of ethical and social risks. Algorithmic bias, opacity, privacy violations, workforce displacement, and unclear responsibility attribution undermine trust and societal acceptance of AI. Generative AI introduces additional concerns, including the veracity of generated content, copyright violations, and the proliferation of deepfakes, while philosophical and legal debates about accountability for AI-generated outcomes remain unresolved. In response to these challenges, this study re-examines the core principles and responsibility structures required for AI research ethics in the digital transformation era. It investigates an integrated research ethics framework grounded in three pillars: fairness, accountability, and human-centered design (HCD). Reflecting the expanding role of generative AI and evolving Human–Computer Interaction (HCI) dynamics, the study proposes a practical, operational evaluation model that overcomes the limitations of principle-centric ethical discourse. Specifically, it introduces the Integrated FAH–AIL Evaluation Framework (IFAEF), which combines the FAH-75 index for ethical compliance with the AIL-5 index that assesses AI intelligence and risk levels. As AI evolves from a tool to a “partner-like entity” influencing societal decision-making and human activity, mere technical performance is insufficient. Ethical frameworks must prioritize human dignity, societal context, and value-based judgment. Accordingly, AI research ethics must function not as a passive regulatory mechanism but as a strategic foundation for the sustainable coexistence of technology and society. This requires a multidimensional collaborative structure involving government, industry, academia, and civil society. This paper aims to contribute to this goal by examining the ethical conditions necessary throughout the AI development and deployment lifecycle, and by presenting actionable directions and quantitative evaluation standards for researcher ethics suited to the digital transformation era. In doing so, it offers a concrete foundation for strengthening the accountability, fairness, and human-centeredness of AI technologies.

Purpose:Artificial intelligence (AI) has become one of the most influential technologies in the digital era, and its potential to revolutionize the learning process is enormous. This article discusses the role of AI in improving the quality of education in the digital era. This research aims to provide an understanding of the role of AI in the learning process in the digital era. Method:The Method section is required to outline the study design (whether qualitative, quantitative, or a combination of both), along with general procedures, including details on participant characteristics, numbers, and data collection methods. If the study doesn't involve primary data collection, please provide information on the methods used to summarize previously reported data, such as narrative systematic review, or meta-analysis. Result::The research method used is a literature review, which includes an analysis of various sources and views related to the use of AI in higher education. The data used in this article is information from various literary sources, including research results, scientific articles, and news related to the implementation of AI in education. Examples of the role of AI include several main aspects, including personalization, interactivity, feedback, accessibility, and efficiency. Conclusion: By applying AI to the learning process, we can create a more personalized, interactive, and effective learning experience for all students.

The rapid development of information and communication technology has fundamentally changed the legal landscape of state administration. In this digital era, personal data is a very valuable asset and an increasingly important object of protection. However, the challenges in enforcing state administrative law in the digital era, particularly in terms of personal data protection, are increasingly complex and require a comprehensive approach. This article aims to analyze the main challenges in enforcing state administrative law in the digital era with a focus on personal data protection. First of all, the main challenge is the rapid development of technologies, such as the Internet of Things (IoT) and artificial intelligence (Artificial Intelligence), which generate huge and diverse volumes of data. This requires effective protection of personal data and adherence to data protection principles established by law. Another challenge is the increasing frequency of data breaches. In the digital era, personal data is vulnerable to abuse and hacking which can threaten individual privacy and security. Therefore, state administrative law enforcement must be able to overcome this threat by strengthening data protection mechanisms, implementing strict information security policies, and increasing international cooperation in law enforcement related to data breaches. Furthermore, another challenge is the harmonization between state administrative law and personal data protection in the digital era. Existing state administrative laws need to be updated and adapted to technological developments and personal data protection. There is a need for a clear and comprehensive legal framework that protects personal data in line with the principles of a transparent, accountable and effective state administration. In order to overcome this challenge, the government, law enforcement agencies and the private sector need to work together actively to develop comprehensive regulations, increase law enforcement capacity in terms of personal data protection, and increase legal awareness among the public. Only with a holistic approach.

This study examines students' perceptions of the positive and negative impacts of using Artificial Intelligence (AI) in learning in the digital era. In the digital era, AI is growing rapidly and its potential is expanding in education. Understanding students' perceptions is key to implementing AI effectively and optimally. This study used a qualitative method with a descriptive approach and involved 114 students at two universities in Lampung. Data was collected through an online questionnaire. The results show that most students have a positive perception of the impact of AI in learning. AI helps them focus on learning, understand the material more easily, complete tasks faster, and make learning more interesting. However, some students also have concerns about the negative impacts of AI, such as laziness in learning, dependence on technology, and potential misuse of AI. This study concludes that AI has great potential to improve the quality of student learning. It should be understood that AI cannot replace the role of lecturers, but it can assist lecturers and students in the learning process. It is important to use AI carefully and balance it with conventional learning. The results of this research are expected to contribute to various parties in achieving better educational goals.

Artificial intelligence (AI) is rapidly evolving and finding increasing applications in various industries, including marketing. Modern companies striving to remain competitive in the digital era are actively implementing AI into their marketing strategies. AI allows not only to automate routine processes but also to significantly increase the effectiveness of marketing campaigns through the analysis of large amounts of data and content personalization. However, not all companies fully utilize the potential of this technology due to insufficient awareness and the lack of a clear methodology for implementing AI in marketing. The aim of this research is to determine the role of artificial intelligence as a driver of marketing campaign development and to develop recommendations for the effective implementation of AI in marketing strategies of companies. Research subject. The research subject is the use of artificial intelligence in marketing campaigns. The use of AI in marketing campaigns is understood as the application of machine learning algorithms, neural networks, natural language processing, and other AI tools for data analysis, consumer behavior prediction, content personalization, and optimization of advertising strategies. Research methods. The following research methods were used to achieve the research objective: method of scientific abstraction for constructing the research concept and forming a model of the relationship between the application of AI and the effectiveness of marketing campaigns, method of desk research for analyzing scientific literature and existing cases of AI implementation in marketing, method of analysis and synthesis for generalizing the results obtained and formulating recommendations. Research hypothesis. The use of artificial intelligence in marketing campaigns significantly increases their effectiveness due to more accurate market segmentation, content personalization, and optimization of advertising costs. The implementation of AI in marketing is a necessary step for companies striving to remain competitive in the digital era. Presentation of the main material. The impact of AI on various aspects of marketing campaigns is analyzed, in particular, on improving the accuracy of consumer behavior prediction, personalizing offers, optimizing advertising budgets, and improving customer interaction. Specific examples of successful implementation of AI into marketing strategies of companies are considered, and the problems faced by businesses when integrating AI into their processes are analyzed. Originality and practical significance of the research. The originality and practical significance of the research lies in proving the need for the active use of artificial intelligence in marketing campaigns to increase their effectiveness and competitiveness of companies. The practical significance of the research lies in the development of recommendations for the implementation of AI in marketing strategies. Conclusions and prospects for further research. Artificial intelligence has significant potential as a tool for developing marketing campaigns. Approaches to its use in marketing, as well as the study of the impact of different AI technologies on the results of marketing strategies, are promising areas for further research.

The world we live in today is pervaded by digital, the net is increasingly present and mixes the dimensions of the physical and the virtual, changing the way we understand, decide and evaluate things and also the way we do business. Artificial intelligence (AI) and related technologies are transforming the way we think and do marketing and the way companies relate to consumers and society.Internet has assumed a key role in nurturing innovation within business ecosystems. AI, big data and Internet of things (IoT) are key drivers of the current revolution in the way of communicating and relating among both individuals and products. This change is mainly due to the impact of algorithms’ mediations on the creation of value and customer engagement.Recent years, growing attention has been devoted to consumer brand engagement through emerging technological platforms (e.g., social media/artificial intelligence-based). However, despite important knowledge advancement, much remains unknown regarding the effect of Consumers’ Technology-Facilitated Brand Engagement (CTFBE) on individuals’ wellbeing, thus determining an important research gap (Hollebeek and Belk, 2021). CTFBE comprises a vital social facet. Hollebeek and Belk (2021) define CTFBE as a consumer’s bloodedly volitional resource investment in technology-mediated brand interactions (Kumar et al., 2019; Hollebeek et al, 2020). Online behavioral customer engagement occurs because of the rise of the new media and the advancement of technology, which have changed the way customers connect and interact with firms (Jahn and Kunz, 2012). One of the most active channels for such an aim are social media (Gummerus et al, 2012) where customers share their own experiences, information, review brands and manifest enthusiasm, delight, or disgust about a brand with others (Hollebeek and Chen, 2014).Digital transformation has totally transformed the value creation process (Reinartz et al., 2019) revolutionizing the way of doing business using the large mass of available data and information, through sophisticated service platforms that increase both effectiveness and efficiency in the value creation processes. AI has been a key component of digital transformation, substantially affecting consumer decision-making (Duan et al., 2021).AI, big data and the IoT are supporting and / or automating many decision-making processes: product, price, channel, supply chain, communication, etc. The customer experience is also redesigned starting from new value creation objectives and can become a stimulus for the creation of new business models. This, in turn, can provide a customized experience that is highly valued by consumers (Lemon and Verhoef, 2016). While new technologies have brought more ways for customers to interact with brands and companies, digital technologies have similarly enabled the automation of company’s interactions with customers (Kunz et al., 2017).According to Kumar et al (2010), AI represents the enabling technology for the transformation of marketing theory and practices: the enormous availability of data, the explosion of the possibilities to reach and interact on the markets and an increased speed of transactions. AI-enabled digital platform helps organizations to attract their customers (Bag et al, 2021; Chawla and Goyal, 2021).An increasing number of marketing decisions already use artificial intelligence in some way, and with the rise of big data is becoming easier to incorporate AI into business practices. Marketers may develop a more effective and personalized communication approach (Mogaji et al., 2020). For this reason, today AI is adopted in all activities where classification, forecasts and clustering are useful or necessary to solve problems and support decisions (management of anomalies in processes, logistics and optimization planning, customer service and customization).In the contemporary world the ubiquity of digital has made fluid the distinctions between channels and has integrated two dimensions of reality (physical and virtual one in phygital), the management of complex processes has become agile and adaptive, the advantages of integration and dynamic use of resources condition the operation of entire businesses. Well, what influence all this changes, new technologies and brand algorithms will have on social engagement?Prior studies on artificial intelligence in service and marketing research have not addressed customer engagement (Kaartemo & Helkkula, 2018). Perhaps, even Kaartemo & Helkkula (2018) specifically called for more research to answer the question: “How can we improve customer engagement through AI?”The article proposal is theoretical/conceptual in nature and starts from an updated review of academic literature on the aforementioned topics, mainly within marketing and business management disciplines, to achieve an interpretative attempt of Brand algorithm and social engagement (role) in digital era. References on request.

Artificial Intelligence (AI) is one of the many innovations that have emerged in the digital era. Most people believe that artificial intelligence (AI) can do many things, such as creating stories or literary works. As artificial intelligence (AI) becomes more popular in society, cases of plagiarism have increased. In the Industrial Revolution 5.0, artificial intelligence (AI) is an important part of the revolution. This advancement has benefited many industries, such as literary development. Input data is essential to the development of artificial intelligence (AI) for various purposes. This is because the way artificial intelligence (AI) systems are built and the methods that will be used to solve problems depend largely on the availability of data. The use of input data for the development of artificial intelligence (AI) derived from copyrighted works may raise legal issues if done without observing the provisions of the Agreement on Trade-Related Aspects of Intellectual Property Rights (TRIPs) and Berne Convention for the Protection of Literary and Artistic Works

This study examines the intersection of Artificial Intelligence (AI), political accountability, and administrative efficiency as critical pathways toward achieving good governance in the digital era. With governments across the globe increasingly integrating digital technologies into public administration, AI has emerged as a transformative tool capable of enhancing transparency, efficiency, and citizen engagement. The study adopts a qualitative approach, data derived from policy reports, institutional documents, and governance performance indicators. Findings reveal that AI contributes significantly to administrative efficiency by automating decision processes, optimizing resource allocation, and improving service delivery speed and accuracy. Moreover, AI-driven data analytics facilitates greater political accountability by enabling real-time monitoring of government activities, early detection of corruption risks, and evidence-based policymaking. However, challenges such as inadequate digital infrastructure, ethical concerns, data privacy issues, and limited technical capacity hinder effective AI adoption in many developing countries. The study concludes that integrating AI into governance systems requires a balanced policy framework that emphasizes transparency, inclusivity, and ethical oversight. It recommends that governments invest in AI literacy, institutional capacity building, and regulatory reforms to ensure equitable and responsible deployment of AI technologies in governance. By aligning AI innovation with democratic principles and administrative reforms, nations can foster more accountable, efficient, and responsive governance structures capable of addressing 21st-century challenges.

Does Artificial Intelligence (AI) Play Roles in Enhancing Academic Writing? Unravelling Lecturers’ Voices in Indonesian Higher Education. Objectives: The rapid advancement of technology has brought about effectiveness and flexibility in the field of education in the digital era. However, in the context of academic writing, the study of AI tools utilization from the perspectives of lecturers across diverse majors has not been explored yet. The present study explores the voices of lecturers on the roles of artificial intelligence (AI) in fostering academic writing. Methods: Anchoring in a qualitative design with a case study approach, data were gathered from semi-structured interviews with six lecturers at an Indonesian higher education. Findings: The findings revealed that some lecturers had positive responses toward the development of artificial intelligence particularly in fostering academic writing. In addition, artificial intelligence (AI) enhances academic writing by promoting efficiency and accuracy, developing consistency, detecting plagiarism in academic writing, and providing information and data to enhance academic writing. However, some challenges in using artificial intelligence for academic writing include the lack of transparency, critical thinking skills, and ethical considerations in using artificial intelligence tools. Conclusion : The study provides implications that the need for academicians especially lecturers to get up to date with technological advancements such as AI tools utilization in academic writing and use them wisely, the need to increase academic writing quality by enriching academic literacy and joining workshops and mentoring programs. Keywords: academic writing; artificial intelligence; digital era; Indonesian higher education; lecturers’ voices. DOI: http://dx.doi.org/10.23960/jpp.v14.i1.202436

IMPACT This article presents a theoretically grounded analytical framework for public sector leaders in the digital governance era. Using artificial intelligence (AI) patent data from Chinese prefecture-level cities the authors show how AI technology enhances government transparency through three pathways: optimizing administrative efficiency, deepening open data practices and building citizen trust. The findings will be particularly valuable to local government officials, public sector leaders and policy-makers working in public management, digital governance and public service innovation. Additionally, it offers China’s experience as a reference for the global promotion of transparent governance in the digital era.

The Artificial intelligence (AI) is transforming path way for nursing in this digital era by introducing advanced technologies that enhance patient care and improve efficiency of care. In this Digital Era how AI is redefining standards of care in nursing by assisting with tasks such as patient monitoring, data analysis, and decision-making. Through the integration of AI, nurses can provide more accurate and timely care, ultimately improving patient outcomes and satisfaction. The study highlights various work of AI applications in nursing and discusses the potential benefits scopes and challenges associated with their implementation. Also, the AI has created a biggest impact on routine task of Nurses and reduced the overload. This advancements in the field of nursing are not only enhancing the quality of care but also redefining the nursing profession by making it more efficient.