Journal of Economy and Technology最新文献

{"title":"Global adoption of generative AI: What matters most?","authors":"Hassnian Ali ,&nbsp;Atta ul Mustafa ,&nbsp;Ahmet Faruk Aysan","doi":"10.1016/j.ject.2024.10.002","DOIUrl":"10.1016/j.ject.2024.10.002","url":null,"abstract":"<div><div>This study investigates the determinants of generative AI adoption across 136 countries, leveraging cross-sectional data from 2023 and employing a negative binomial regression model to address data overdispersion. Generative AI is a transformative technology that enhances operational efficiency, drives innovation, and creates economic value across sectors. Key findings reveal that IT infrastructure, R&amp;D investments, and company investment in emerging technologies significantly foster generative AI adoption, while misaligned government policies may hinder it. The analysis identifies crucial determinants, including technological infrastructure, economic stability, regulatory environments, and workforce readiness, as pivotal to adoption rates. The study provides actionable insights for policymakers, industry leaders, and researchers, advocating for tailored policies, strategic investment in high-speed internet and cloud services, and refining government incentives to align with AI sector needs. This research uniquely contributes by offering a comprehensive, cross-country perspective on factors influencing generative AI adoption.</div></div>","PeriodicalId":100776,"journal":{"name":"Journal of Economy and Technology","volume":"3 ","pages":"Pages 166-176"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143636276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The impact of customer boredom on the efficacy of a rewards","authors":"Axel Stock ,&nbsp;Minoo Talebi Ashoori","doi":"10.1016/j.ject.2025.04.001","DOIUrl":"10.1016/j.ject.2025.04.001","url":null,"abstract":"<div><div>In this paper, we study utilizing a game theoretic model, how variety seeking triggered by customer boredom may affect a firm’s rewards program, pricing strategy and profits. Customer Boredom is conceptualized as a utility loss resulting from the purchase of a previously consumed brand. We analyze a two period model where two firms compete for a market of forward looking consumers by selling horizontally differentiated brands. When making the purchase decision in the second period, consumers trade off the utility loss from boredom with the benefits from obtaining the reward offered. In our analysis, we interestingly find that depending on consumers’ discount factor, firm profits either strictly increase or follow a u-shaped relationship with customer boredom. We also consider the case when brands differ in quality and show that under some conditions the high-quality firm’s profits decline while the low quality firm benefits when variety seeking due to boredom increases.</div></div>","PeriodicalId":100776,"journal":{"name":"Journal of Economy and Technology","volume":"3 ","pages":"Pages 299-313"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144069348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to “Federated learning and information sharing between competitors with different training effectiveness” [J. Econ. Technol. (2025) 1–9]","authors":"Jiajun Meng ,&nbsp;Jing Chen ,&nbsp;Dongfang Zhao","doi":"10.1016/j.ject.2025.02.002","DOIUrl":"10.1016/j.ject.2025.02.002","url":null,"abstract":"","PeriodicalId":100776,"journal":{"name":"Journal of Economy and Technology","volume":"3 ","pages":"Page 282"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143942066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A systematic review on the dimensions of open-source disaster intelligence using GPT","authors":"FK Sufi","doi":"10.1016/j.ject.2024.03.004","DOIUrl":"https://doi.org/10.1016/j.ject.2024.03.004","url":null,"abstract":"<div><p>Natural and manmade disasters like landslides, floods, earthquake, cyclone, shooting, riots have detrimental effect in precious life, infrastructure, and economy. This study addresses the need for a comprehensive analysis of Generative Pre-Trained Transformers (GPT) in the context of open-source disaster intelligence, a topic where existing literature remains fragmented. Employing a systematic approach, a query scheme incorporating 11 at. keywords was devised, resulting in the acquisition of 53 relevant studies. These studies were meticulously reviewed and synthesized to propose six dimensions of GPT-based open-source disaster intelligence, yielding critical insights into disaster management strategies. Within these 6 dimensions, 24 studies were categorized under “Social Media Analytics for Disaster Response” dimension, 7 on “Disaster Prediction,” 11 on “Disaster Management,” 5 on “Disaster Support Via Technology”, 3 on “Climate Change and Disaster Communication,” and 5 studies were classified under the “General Disaster Analysis” dimension. Leveraging advanced methodologies and machine learning driven tools such as PRISMA, Litmaps, and VOSviewer, this research not only identifies key trends and collaborative efforts but also provides valuable bibliographical insights for researchers and practitioners in the field. For example, the co-citation analysis demonstrated a total of 3703 authors, among whom 51 authors garnered a minimum of 10 citations, leading to the identification of 3 distinct clusters. By addressing a critical research gap and offering a methodologically robust examination, this study contributes significantly to the advancement of knowledge in GPT-based open-source disaster intelligence, facilitating informed decision-making and enhancing disaster response strategies worldwide.</p></div>","PeriodicalId":100776,"journal":{"name":"Journal of Economy and Technology","volume":"2 ","pages":"Pages 62-78"},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949948824000180/pdfft?md5=3a0ef43306d7448a569df6bab9c7d45a&pid=1-s2.0-S2949948824000180-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141068063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Agriculture 4.0 adoption challenges in the emerging economies: Implications for smart farming and sustainability","authors":"Md Hasibul Islam ,&nbsp;Md. Zahidul Anam ,&nbsp;Mohammad Rashedul Hoque ,&nbsp;Maksuraton Nishat ,&nbsp;A.B.M. Mainul Bari","doi":"10.1016/j.ject.2024.09.002","DOIUrl":"10.1016/j.ject.2024.09.002","url":null,"abstract":"<div><p>To ensure food security in this age of production and supply disruption, the agricultural sectors of emerging economies are gradually adopting more smart technologies to achieve sustainability. However, literature on the challenges of adopting Agriculture 4.0-based smart farming technologies is still very limited. This research, therefore, explores the contextual interrelation among the challenges to adopting Agriculture 4.0-based smart technologies in the agricultural production system from a developing country's perspective and prioritizes the identified challenges. A case study was conducted in Bangladesh, an emerging economy, where data was collected through interviews and focus group discussion sessions. A total of 21 challenges were finalized as relevant to the country's context. The Interpretive Structural Modeling (ISM) technique was deployed to develop a hierarchical structure depicting the challenges' interrelations. The challenges were later ranked based on their relevant weight using the Best-Worst Method (BWM). This study finds technological complexity, lack of collaboration among different stakeholders, inadequate support from the government, and lack of action plans to have very high driving power. Challenges such as high initial investment and operational costs, lack of skilled workforce, and farmers' resistance were found to be dependent challenges. This study is expected to contribute by providing a deeper insight into the challenges of adopting Agriculture 4.0 in emerging economies so that practitioners can take effective mitigating measures to streamline the plant-based agricultural production systems to promote food security and sustainability.</p></div>","PeriodicalId":100776,"journal":{"name":"Journal of Economy and Technology","volume":"2 ","pages":"Pages 278-295"},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949948824000416/pdfft?md5=242f7f4d20e45dcd47e9f166bc4c68ee&pid=1-s2.0-S2949948824000416-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142270571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Leveraging the digital sustainable growth model (DSGM) to drive economic growth: Transforming innovation uncertainty into scalable technology","authors":"Ahmed Shalaby","doi":"10.1016/j.ject.2024.09.003","DOIUrl":"10.1016/j.ject.2024.09.003","url":null,"abstract":"<div><div>The rapid advancement of artificial intelligence (AI), particularly with the emergence of Artificial General Intelligence (AGI), has intensified concerns about AI potentially overshadowing human autonomy and disrupting job markets. As AI systems become more capable of performing tasks traditionally handled by humans, there is an urgent need to rethink education to ensure future employability. To stay relevant in an increasingly automated world, the focus should shift toward developing uniquely human skills such as innovation and critical thinking. Educational systems must adapt by emphasizing these higher-order cognitive skills and integrating frameworks like the Digital Sustainable Growth Model (DSGM). By aligning Jungian Cognitive Functions with the innovation process, organizations can develop scalable technologies that not only drive innovation but also optimize talent management. This alignment ensures that human innovation and technological advancements progress together, creating systems that enhance innovative problem-solving and maximize team effectiveness.</div></div>","PeriodicalId":100776,"journal":{"name":"Journal of Economy and Technology","volume":"2 ","pages":"Pages 310-321"},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142427755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Resilience and risk management in cybersecurity: A grounded theory study of emotional, psychological, and organizational dynamics","authors":"Farheen Fatima ,&nbsp;James C. Hyatt ,&nbsp;Shafiq Ur Rehman ,&nbsp;Elyson De La Cruz ,&nbsp;Geeta Sandeep Nadella ,&nbsp;Karthik Meduri","doi":"10.1016/j.ject.2024.08.004","DOIUrl":"10.1016/j.ject.2024.08.004","url":null,"abstract":"<div><p>This Grounded Theory examines the in-depth dynamics of cybersecurity professionals working in financial organizations regarding stress management, risk handling, communication challenges, and perceived benefits from work. This study conducted a grounded theory approach with cybersecurity professionals through in-depth interviews to comprehensively understand these dynamics. The findings identify critical themes about emotional and psychological resilience, effective risk management strategies, overcoming communication challenges, and recognizing organizational and personal benefits from robust cybersecurity practices. The current research highlights that for better well-being and performance of cybersecurity teams, extensive support systems, proactive risk management, and communication are very important and should be embedded within organizations. By utilizing the grounded theory, this study offers a nuanced exploration of the complex and entwined factors that impact daily operations and the overall effectiveness of cybersecurity professionals, offering valuable insights for improving organizational policies and creating a supportive work environment. These findings suggest, most importantly, that robust support systems, risk assessments, clear communication protocols, and training opportunities should be developed and operationalized in financial organizations to help professionals reduce stress at work and strengthen resilience factors. Not only does this research project cover significant gaps in the literature, but it also really helps financial organizations further improve their currently existing cybersecurity strategies to better support personnel by using this framework.</p></div>","PeriodicalId":100776,"journal":{"name":"Journal of Economy and Technology","volume":"2 ","pages":"Pages 247-257"},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949948824000362/pdfft?md5=e3821ff091234ce2a70c25f27c34386f&pid=1-s2.0-S2949948824000362-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142048599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantum cloud computing: Trends and challenges","authors":"Muhammed Golec ,&nbsp;Emir Sahin Hatay ,&nbsp;Mustafa Golec ,&nbsp;Murat Uyar ,&nbsp;Merve Golec ,&nbsp;Sukhpal Singh Gill","doi":"10.1016/j.ject.2024.05.001","DOIUrl":"https://doi.org/10.1016/j.ject.2024.05.001","url":null,"abstract":"<div><p>Quantum computing is a new paradigm that will revolutionize various areas of computing, especially cloud computing. Quantum computing, still in its infancy, is a costly technology that can operate in highly isolated environments because of its rapid response to environmental factors. This makes quantum computing a challenging technology for researchers to access. These problems can be solved by integrating quantum computing into an isolated remote server, such as a cloud, and making it available to users. Furthermore, experts predict that quantum computing, with its ability to swiftly resolve complex and computationally intensive operations, will offer significant benefits in systems that process large amounts of data, like cloud computing. This article presents the vision and challenges for the quantum cloud computing paradigm that will emerge with the integration of quantum and cloud computing. Next, we present the advantages of quantum computing over classical computing applications. We analyze the effects of quantum computing on cloud systems, such as cost, security, and scalability. Besides all of these advantages, we highlight research gaps in quantum cloud computing, such as qubit stability and efficient resource allocation. This article identifies the advantages and challenges of quantum cloud computing for future research, highlighting research gaps.</p></div>","PeriodicalId":100776,"journal":{"name":"Journal of Economy and Technology","volume":"2 ","pages":"Pages 190-199"},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949948824000271/pdfft?md5=d7cb3a54127ca9998a24733f73ddbb35&pid=1-s2.0-S2949948824000271-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141289468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Empowering tomorrow: Unleashing the role of technology driven energy efficiency for sustainable development in China","authors":"Muhammed Ashiq Villanthenkodath ,&nbsp;Shreya Pal","doi":"10.1016/j.ject.2024.02.001","DOIUrl":"10.1016/j.ject.2024.02.001","url":null,"abstract":"<div><p>The underlying objective of the study is to investigate the energy efficiency improvement potentiality of total technological innovation and its components, such as residential and non-residential technological innovations, by controlling for economic growth and energy prices in China. To this end, the study employs Dynamic Ordinary Least Squares (DOLS), Canonical Cointegrating Regression (CCR), and Fully Modified Ordinary Least Squares (FMOLS) based on the unit root testing and Johansen and Juselius cointegration test outcomes. Thus, the results confirm the long-run relationship among the series under investigation. Further, it shows that total technological innovation and its components, i.e., residential and non-residential technological innovations, have the potential to improve energy efficiency. However, economic growth and energy prices are reducing energy efficiency. Moreover, these findings are stable while applying the other alternative methods for robustness. Therefore, the study suggests policy recommendations aimed at promoting technology that may be either residential or non-residential technological innovations to increase energy efficiency. Additionally, it urges designing national-level energy policy to boost economic progress by conserving energy along with measures to stabilize energy prices.</p></div>","PeriodicalId":100776,"journal":{"name":"Journal of Economy and Technology","volume":"2 ","pages":"Pages 155-165"},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949948824000039/pdfft?md5=7c360533b7e708f3b8164f8fc41ef5a7&pid=1-s2.0-S2949948824000039-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140469160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Smart governance for smart cities and nations","authors":"Z.R.M. Abdullah Kaiser","doi":"10.1016/j.ject.2024.07.003","DOIUrl":"10.1016/j.ject.2024.07.003","url":null,"abstract":"<div><p>There is an increasing emphasis on utilizing ICT to drive global governmental transformation to enhance efficiency and cost-effective service delivery. Smart governance represents a novel and data-driven progressive approach, prioritizing intelligence in operations, upholding an exceptional standard of public administration, and contributing to the development of smart cities and nations. A smart city uses advanced technology and innovation to augment urban life and efficiency to ensure sustainability and a smart nation extends these principles across regions. Although smart governance is a priority in building smart cities and nations, its challenges and strategies are still not well-defined from the perspective of developing a smart nation and city. Smart Bangladesh is an inclusive digital transformation initiative and a grand vision of the government, advancing towards becoming a developed, prosperous, and smart nation by focusing on four key pillars: smart citizens, smart government, smart economy, and smart society. This study involved interviews with multi-level stakeholders and served as a preliminary step toward providing insights into and understanding the significant challenges and priorities in transforming a smart country and building smart cities. The research identifies fourteen prime challenges of smart governance that are pivotal for transforming Bangladesh into a smart nation and creating smart cities. Among these, stakeholders particularly emphasize the need for administrative reform, robust smart infrastructure, finance, uninterrupted electricity, strong data privacy and security, and effective big data management as crucial to the success of the country's vision. The analysis proposes a conceptual framework based on stakeholders' priorities that can serve as a practical guideline for practitioners to develop a strategic roadmap for effective preparedness to transition to a smart nation and build smart cities. The study fills a research gap in governance theory concerning the evolution of transformative technology-based governance, particularly emphasizing the significance of smart governance in the development of smart nations and cities.</p></div>","PeriodicalId":100776,"journal":{"name":"Journal of Economy and Technology","volume":"2 ","pages":"Pages 216-234"},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949948824000313/pdfft?md5=fdf18777a1a9c464b4d7c04f8bae6e99&pid=1-s2.0-S2949948824000313-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141853560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}