Journal of Innovation & Knowledge, Год журнала: 2024, Номер 9(4), С. 100597 - 100597
Опубликована: Окт. 1, 2024
Язык: Английский
Innovations in Systems and Software Engineering, Год журнала: 2024, Номер 20(3), С. 347 - 371
Опубликована: Фев. 6, 2024
Abstract Placing sustainability at the core of computing practices, industry is poised to pioneer positive changes and create a cleaner more sustainable world for future generations. The environmentally (ESC) framework introduced in this paper as an innovative solution revolutionize practices across various domains cover multiple aspects information technology (IT). ESC includes entire lifecycle systems, including critical stages such design, development, monitoring, refactoring, regulatory compliance. Through adoption framework, academia stakeholders can gain powerful tool evaluate measure factors different integrate eco-friendly principles patterns throughout their products services. This significantly reduce carbon footprint while complying with environmental regulations. In addition presenting showcases real-world use cases. first involves leading Italian bank, emphasizing significance monitoring compliance achieving solutions within carbon-aware computing. second case explores resource efficiency optimization Kubernetes clusters, illustrating how aligns cloud infrastructure management trends.
Язык: Английский
Процитировано
17
Journal of Business Research, Год журнала: 2024, Номер 182, С. 114764 - 114764
Опубликована: Июнь 14, 2024
Язык: Английский
Процитировано
17
International Journal of Tourism Cities, Год журнала: 2024, Номер unknown
Опубликована: Окт. 29, 2024
Purpose The purpose of this paper is to explore how GenAI can help companies achieve a higher level hyper-segmentation and hyper-personalization in the tourism industry, as well show importance disruptive tool for marketing. Design/methodology/approach This used Web Science Google Scholar databases provide updated studies expert authors industry. Analysing modalities through their new challenges tourists, cities companies. Findings reveal that technology exponentially improves consumers’ segmentation personalization products services, allowing organizations create tailored content real-time. That why concept substantially focused on customer (understood segment one) his or her preferences, needs, personal motivations purchase antecedents, it encourages design services with high individual scalability performance called hyper-personalization, never before seen Indeed, contextualizing experience an important way enhance personalization. Originality/value also contributes enhancing bootstrapping literature industry because field study, its functional operability incubation stage. Moreover, viewpoint facilitate researchers successfully integrate into different travel activities without expecting utopian results. Recently, there have been no tackle methodologies
Язык: Английский
Процитировано
15
Review of Managerial Science, Год журнала: 2025, Номер unknown
Опубликована: Янв. 22, 2025
Язык: Английский
Процитировано
3
Journal of Management Information Systems, Год журнала: 2025, Номер 42(1), С. 143 - 173
Опубликована: Янв. 2, 2025
Язык: Английский
Процитировано
2
Опубликована: Янв. 1, 2023
Generative Artificial Intelligence (GenAI) tools have become increasingly prevalent in software development, offering assistance to various managerial and technical project activities. Although many recent publications explored evaluated the application of GenAI, a comprehensive understanding current applications, limitations, open challenges remains unclear many. Particularly, we do not an overall picture state GenAI technology practical engineering usage scenarios. We conducted literature review focus groups for duration five months develop research agenda on Software Engineering. identified 78 Research Questions (RQs) 11 areas Our results show that it is possible explore adoption partial automation support decision-making all development While skewed toward implementation, quality assurance maintenance, other areas, such as requirements engineering, design, education, would need further attention. bringing significant changes field engineering. believe this holds significance value informing both researchers practitioners about applications guiding future research.
Язык: Английский
Процитировано
32
SSRN Electronic Journal, Год журнала: 2023, Номер unknown
Опубликована: Янв. 1, 2023
The incorporation of generative artificial intelligence (AI) systems, such as ChatGPT, holds great potential in reshaping diverse facets architectural engineering. This research investigates the profound influence AI technologies on structural engineering, HVAC (Heating, Ventilation, and Air Conditioning) electrical plumbing fire protection sustainability, net zero, green building design, information modeling (BIM), urban planning, project management. In ChatGPT's capacity to analyse extensive datasets simulate intricate structures expedites design process, ensuring integrity while optimizing materials costs. it aids devising energy-efficient systems climate control solutions, significantly contributing sustainable practices. Similarly, AI's capabilities enhance optimization both safety reliability. ChatGPT assists creating efficient layouts suppression compliance with regulations. Moreover, plays a pivotal role advancing sustainability design. By evaluating environmental factors suggesting eco-friendly designs, fosters development environmentally responsible structures. domain BIM, facilitates seamless collaboration, automates model generation, improves clash detection, streamlined execution. Nevertheless, integration engineering presents challenges. Ethical concerns, data security, necessity for skilled professionals interpret AI-generated insights are significant issues. delves into these contribution challenges effectively harness AI, paving way transformative era
Язык: Английский
Процитировано
28
Technological Forecasting and Social Change, Год журнала: 2024, Номер 208, С. 123653 - 123653
Опубликована: Авг. 24, 2024
In today's data-driven era, ubiquitous concern about environmental issues pushes more startups to engage in business model innovation that promotes environmentally friendly technologies. The goal of these is create technology-based products and services enhance sustainability. this context, artificial intelligence promises be a key instrument create, capture, deliver value. However, the existing literature lacks deep understanding how using AI innovate their models achieve positive impact. Therefore, paper investigates green technology utilize from perspective for We conduct qualitative, exploratory multiple-case study Eisenhardt methodology, based on interview data analyzed qualitative content analysis. derive five predominant manifestations AI-driven identify archetypical connections between dimensions. Further, we establish three overarching associations among cases. doing so, contribute theory practice by providing deeper account attempt maximize impact through AI. results also highlight driven can support society securing sustainable future.
Язык: Английский
Процитировано
14
International Transactions in Operational Research, Год журнала: 2024, Номер unknown
Опубликована: Июль 31, 2024
Abstract Artificial intelligence (AI) as a disruptive technology is not new. However, its recent evolution, engineered by technological transformation, big data analytics, and quantum computing, produces conversational generative AI (CGAI/GenAI) human‐like chatbots that disrupt conventional operations methods in different fields. This study investigates the scientific landscape of CGAI human–chatbot interaction/collaboration evaluates use cases, benefits, challenges, policy implications for multidisciplinary education allied industry operations. The publications trend showed just 4% ( n = 75) occurred during 2006–2018, while 2019–2023 experienced astronomical growth 1763 or 96%). prominent cases (e.g., ChatGPT) teaching, learning, research activities computer science (multidisciplinary AI; 32%), medical/healthcare (17%), engineering (7%), business fields (6%). intellectual structure shows strong collaboration among eminent sources business, information systems, other areas. thematic highlights including improved user experience human–computer interaction, programs/code generation, systems creation. Widespread usefulness teachers, researchers, learners includes syllabi/course content testing aids, academic writing. concerns about abuse misuse (plagiarism, integrity, privacy violations) issues misinformation, danger self‐diagnoses, patient applications are prominent. Formulating strategies policies to address potential challenges teaching/learning practice priorities. Developing discipline‐based automatic detection GenAI contents check proposed. In operational/operations areas, proper CGAI/GenAI integration with modeling decision support requires further studies.
Язык: Английский
Процитировано
13
Transportation Research Part E Logistics and Transportation Review, Год журнала: 2024, Номер 189, С. 103689 - 103689
Опубликована: Июль 25, 2024
Язык: Английский
Процитировано
12