Adoption and impacts of generative artificial intelligence: Theoretical underpinnings and research agenda

International Journal of Information Management Data Insights, Journal Year: 2024, Volume and Issue: 4(1), P. 100232 - 100232

Published: March 29, 2024

Large language models (LLMs) have received considerable interest in the field of natural processing (NLP) owing to their remarkable ability generate clear, consistent, and contextually relevant materials. Among numerous LLMs, ChatGPT (Generative Pre-trained Transformer for Chatbots) is emerging as a prominent prospective tool developing conversational agents such chatbots. However, there need clear conceptual understanding ChatGPT's potential implications industry its role marketing. This study explores adoption marketing examines theories that may influence by marketers consumers, well marketers. discusses how allow more personalized engaging content, better customer experience, improved ROI. also brings challenges, including ethical considerations new skill development. future research opportunities other generative artificial intelligence technologies The goal provide insights organizations consider implementing these technologies, contribute literature on Artificial Intelligence (AI) use Generative AI

Language: Английский

---

The effects of artificial intelligence applications in educational settings: Challenges and strategies

Technological Forecasting and Social Change, Journal Year: 2023, Volume and Issue: 199, P. 123076 - 123076

Published: Dec. 14, 2023

With the continuous intervention of AI tools in education sector, new research is required to evaluate viability and feasibility extant platforms inform various pedagogical methods instruction. The current manuscript explores cumulative published literature date order key challenges that influence implications adopting models Education Sector. researchers' present works both favour against AI-based applications within Academic milieu. A total 69 articles from a 618-article population was selected diverse academic journals between 2018 2023. After careful review articles, presents classification structure based on five distinct dimensions: user, operational, environmental, technological, ethical challenges. recommends use ChatGPT as complementary teaching-learning aid including need afford customized optimized versions tool for teaching fraternity. study addresses an important knowledge gap how enhance educational settings. For instance, discusses interalia range AI-related effects learning creative prompts, training datasets genres, incorporation human input data confidentiality elimination bias. concludes by recommending strategic solutions emerging identified while summarizing ways encourage wider adoption other sector. insights presented this can act reference policymakers, teachers, technology experts stakeholders, facilitate means sector more generally. Moreover, provides foundation future research.

Language: Английский

---

Enhancing trust in online grocery shopping through generative AI chatbots

Journal of Business Research, Journal Year: 2024, Volume and Issue: 180, P. 114737 - 114737

Published: May 24, 2024

Generative Artificial Intelligence (GAI) is witnessing a lot of adoption across industries, but literature yet to fully document the nuances these applications. We develop comprehensive framework for understanding factors that affect trust in online grocery shopping (OGS) using GAI chatbots. Our exploratory study was conducted via interviews, which helped build our model. integrate Elaboration Likelihood Model (ELM) and Status Quo Bias (SQB) theory Unified Framework Trust on Technology Platforms. In confirmatory study, by analyzing 372 responses from users, structural equation modelling (SEM), we initially validate path Subsequently, used fuzzy set qualitative comparative analysis (fsQCA) check causal combinations explain different levels. Apart perceived regret avoidance, all other had significant effect attitude trust. Perceived anthropomorphism moderated associations between interaction quality, credibility, threat, attitude.

Language: Английский

---

Building entrepreneurial resilience during crisis using generative AI: An empirical study on SMEs

Technovation, Journal Year: 2024, Volume and Issue: 135, P. 103063 - 103063

Published: June 25, 2024

Recently, Gen AI has garnered significant attention across various sectors of society, particularly capturing the interest small business due to its capacity allow them reassess their models with minimal investment. To understand how and medium-sized firms have utilised AI-based tools cope market's high level turbulence caused by COVID-19 pandemic, geopolitical crises, economic slowdown, researchers conducted an empirical study. Although is receiving more attention, there remains a dearth studies that investigate it influences entrepreneurial orientation ability cultivate resilience amidst market turbulence. Most literature offers anecdotal evidence. address this research gap, authors grounded theoretical model hypotheses in contingent view dynamic capability. They tested using cross-sectional data from pre-tested survey instrument, which yielded 87 useable responses medium enterprises France. The used variance-based structural equation modelling commercial WarpPLS 7.0 software test model. study's findings suggest EO influence on building as higher-order lower-order capabilities. However, negative moderating effect path joins resilience. results assumption will positive effects capabilities competitive advantage not always true, linear does hold, consistent some scholars' assumptions. offer contributions open new avenues require further investigation into non-linear relationship

Language: Английский

---

Generative artificial intelligence in manufacturing: opportunities for actualizing Industry 5.0 sustainability goals

Journal of Manufacturing Technology Management, Journal Year: 2024, Volume and Issue: 35(9), P. 94 - 121

Published: May 27, 2024

Purpose This study offers practical insights into how generative artificial intelligence (AI) can enhance responsible manufacturing within the context of Industry 5.0. It explores manufacturers strategically maximize potential benefits AI through a synergistic approach. Design/methodology/approach The developed strategic roadmap by employing mixed qualitative-quantitative research method involving case studies, interviews and interpretive structural modeling (ISM). visualizes elucidates mechanisms which contribute to advancing sustainability goals Findings Generative has demonstrated capability promote various objectives 5.0 ten distinct functions. These multifaceted functions address multiple facets manufacturing, ranging from providing data-driven production enhancing resilience operations. Practical implications While each identified function independently contributes under 5.0, leveraging them individually is viable strategy. However, they synergistically other when systematically employed in specific order. Manufacturers are advised leverage these functions, drawing on their complementarities benefits. Originality/value pioneers early enhances performance framework. proposed suggests prioritization orders, guiding decision-making processes regarding where for what purpose integrate AI.

Language: Английский

---

Artificial Intelligence Platforms Enabling Conversational Chatbots: The Case of Tiledesk.com

Applied innovation and technology management, Journal Year: 2025, Volume and Issue: unknown, P. 119 - 137

Published: Jan. 1, 2025

Language: Английский

---

Augmenting research methods with foundation models and generative AI

International Journal of Information Management, Journal Year: 2024, Volume and Issue: 77, P. 102749 - 102749

Published: Jan. 12, 2024

Language: Английский

---

Benchmarking operations and supply chain management practices using Generative AI: Towards a theoretical framework

Transportation Research Part E Logistics and Transportation Review, Journal Year: 2024, Volume and Issue: 189, P. 103689 - 103689

Published: July 25, 2024

Language: Английский

---

Embryonic Machine-Deep Learning, Smart Healthcare and Privacy Deliberations in Hospital Industry: Lensing Confidentiality of Patient’s Information and Personal Data in Legal-Ethical Landscapes Projecting Futuristic Dimensions

Published: Jan. 1, 2024

Language: Английский

---

Comparative Analysis of Automatic Literature Review Using Mistral Large Language Model and Human Reviewers

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: March 8, 2024

Abstract This study evaluates the effectiveness of Mistral Large Language Model (LLM), enhanced with Retrieval-Augmented Generation (RAG), in automating process conducting literature reviews, comparing its performance traditional human-led review processes. Through a methodical analysis 50 scientific papers from OpenReview platform, investigates model's efficiency, scalability, and quality review, including coherence, relevance, analytical depth. The findings indicate that while LLM significantly surpasses human efforts terms efficiency it occasionally lacks depth attention to detail characterize reviews. Despite these limitations, model demonstrates considerable potential standardizing preliminary suggesting hybrid approach where LLM's capabilities are integrated expertise enhance process. underscores necessity for further advancements AI technology achieve deeper insights highlights importance addressing ethical concerns biases AI-assisted research. integration LLMs like presents promising avenue redefining academic research methodologies, pointing towards future intelligence collaborate advance scholarly discourse.

Language: Английский

---