Revisiting the role of HR in the age of AI: bringing humans and machines closer together in the workplace DOI Creative Commons
Ali Fenwick, Gábor Molnár,

Piper Frangos

et al.

Frontiers in Artificial Intelligence, Journal Year: 2024, Volume and Issue: 6

Published: Jan. 15, 2024

The functions of human resource management (HRM) have changed radically in the past 20 years due to market and technological forces, becoming more cross-functional data-driven. In age AI, role HRM professionals organizations continues evolve. Artificial intelligence (AI) is transforming many practices throughout creating system process efficiencies, performing advanced data analysis, contributing value creation organization. A growing body evidence highlights benefits AI brings field HRM. Despite increased interest AI-HRM scholarship, focus on human-AI interaction at work AI-based technologies for limited fragmented. Moreover, lack considerations tech design deployment can hamper digital transformation efforts. This paper provides a contemporary forward-looking perspective strategic human-centric plays within as becomes integrated workplace. Spanning three distinct phases integration (technocratic, integrated, fully-embedded), it examines technical, human, ethical challenges each phase suggestions how overcome them using approach. Our importance evolving AI-driven organization roadmap bring humans machines closer together

Language: Английский

Artificial intelligence in logistics and supply chain management: A primer and roadmap for research DOI Open Access
R. Glenn Richey, Soumyadeb Chowdhury, Beth Davis‐Sramek

et al.

Journal of Business Logistics, Journal Year: 2023, Volume and Issue: 44(4), P. 532 - 549

Published: Sept. 29, 2023

Abstract The dawn of generative artificial intelligence (AI) has the potential to transform logistics and supply chain management radically. However, this promising innovation is met with a scholarly discourse grappling an interplay between capabilities drawbacks. This conversation frequently includes dystopian forecasts mass unemployment detrimental repercussions concerning academic research integrity. Despite current hype, existing exploring intersection AI (L&SCM) sector remains limited. Therefore, editorial seeks fill void, synthesizing applications within L&SCM domain alongside analysis implementation challenges. In doing so, we propose robust framework as primer roadmap for future research. will give researchers organizations comprehensive insights strategies navigate complex yet landscape integration domain.

Language: Английский

Citations

171

Are both generative AI and ChatGPT game changers for 21st-Century operations and supply chain excellence? DOI
Samuel Fosso Wamba, Maciel M. Queiroz, Charbel José Chiappetta Jabbour

et al.

International Journal of Production Economics, Journal Year: 2023, Volume and Issue: 265, P. 109015 - 109015

Published: Aug. 23, 2023

Language: Английский

Citations

128

A Review on Large Language Models: Architectures, Applications, Taxonomies, Open Issues and Challenges DOI Creative Commons
Mohaimenul Azam Khan Raiaan, Md. Saddam Hossain Mukta, Kaniz Fatema

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 26839 - 26874

Published: Jan. 1, 2024

Large Language Models (LLMs) recently demonstrated extraordinary capability, including natural language processing (NLP), translation, text generation, question answering, etc. Moreover, LLMs are a new and essential part of computerized processing, having the ability to understand complex verbal patterns generate coherent appropriate replies for situation. Though this success has prompted substantial increase in research contributions, rapid growth made it difficult overall impact these improvements. Since lot on is coming out quickly, getting tough get an overview all them short note. Consequently, community would benefit from but thorough review recent changes area. This article thoroughly overviews LLMs, their history, architectures, transformers, resources, training methods, applications, impacts, challenges, paper begins by discussing fundamental concepts with its traditional pipeline phase. It then provides existing works, history evolution over time, architecture transformers different resources methods that have been used train them. also datasets utilized studies. After that, discusses wide range applications biomedical healthcare, education, social, business, agriculture. illustrates how create society shape future AI they can be solve real-world problems. Then explores open issues challenges deploying scenario. Our aims help practitioners, researchers, experts pre-trained goals.

Language: Английский

Citations

122

Generative AI and the future of higher education: a threat to academic integrity or reformation? Evidence from multicultural perspectives DOI Creative Commons
Abdullahi Yusuf, Nasrin Pervin, Marcos Román González

et al.

International Journal of Educational Technology in Higher Education, Journal Year: 2024, Volume and Issue: 21(1)

Published: March 25, 2024

Abstract In recent years, higher education (HE) globally has witnessed extensive adoption of technology, particularly in teaching and research. The emergence generative Artificial Intelligence (GenAI) further accelerates this trend. However, the increasing sophistication GenAI tools raised concerns about their potential to automate research processes. Despite widespread on various fields, there is a lack multicultural perspectives its impact HE. This study addresses gap by examining usage, benefits, from standpoint. We employed an online survey that collected responses 1217 participants across 76 countries, encompassing broad range gender categories, academic disciplines, geographical locations, cultural orientations. Our findings revealed high level awareness familiarity with among respondents. A significant portion had prior experience expressed intention continue using these tools, primarily for information retrieval text paraphrasing. emphasizes importance integration education, highlighting both benefits concerns. Notably, strong correlation between dimensions respondents’ views related GenAI, including as dishonesty need ethical guidelines. We, therefore, argued responsible use can enhance learning processes, but addressing may require robust policies are responsive expectations. discussed offered recommendations researchers, educators, policymakers, aiming promote effective education.

Language: Английский

Citations

81

Enhancing Work Productivity through Generative Artificial Intelligence: A Comprehensive Literature Review DOI Open Access

Humaid Al Naqbi,

Zied Bahroun, Vian Ahmed

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(3), P. 1166 - 1166

Published: Jan. 30, 2024

In this review, utilizing the PRISMA methodology, a comprehensive analysis of use Generative Artificial Intelligence (GAI) across diverse professional sectors is presented, drawing from 159 selected research publications. This study provides an insightful overview impact GAI on enhancing institutional performance and work productivity, with specific focus including academia, research, technology, communications, agriculture, government, business. It highlights critical role in navigating AI challenges, ethical considerations, importance analytical thinking these domains. The conducts detailed content analysis, uncovering significant trends gaps current applications projecting future prospects. A key aspect bibliometric which identifies dominant tools like Chatbots Conversational Agents, notably ChatGPT, as central to GAI’s evolution. findings indicate robust accelerating trend expected continue through 2024 beyond. Additionally, points potential directions, emphasizing need for improved design strategic long-term planning, particularly assessing its user experience various fields.

Language: Английский

Citations

76

Critical thinking in the AI era: An exploration of EFL students’ perceptions, benefits, and limitations DOI Creative Commons

Darwin Darwin,

Diyenti Rusdin, Nur Mukminatien

et al.

Cogent Education, Journal Year: 2023, Volume and Issue: 11(1)

Published: Dec. 4, 2023

This study aimed to provide an in-depth understanding of English as a Foreign Language (EFL) students' perceptions concerning both the benefits and limitations Artificial Intelligence (AI) in context critical thinking. Utilizing qualitative research design that focuses on case studies employs semi-structured interviews, seven master's degree students from two different Indonesian universities were purposively selected for sample. The findings revealed complex view thinking involves questioning norms, analyzing context, evaluating evidence. Students acknowledged AI's utility enriching various facets thinking, such academic theory scrutiny. However, concerns also raised about limitations, including lack personalization, potential echo chambers, difficulties nuanced understanding. concludes AI can be asset development skills, but with caveats require careful management. A balanced approach capitalizes strengths while being aware its is necessary cultivating robust abilities among EFL students. Limitations include reliance self-reported data, which may introduce biases, heterogeneity participants' backgrounds, affecting generalizability. Future consider more objective measures observations or psychometric tests, investigate pedagogical methods integrating applications effectively.

Language: Английский

Citations

70

Analyzing the potential benefits and use cases of ChatGPT as a tool for improving the efficiency and effectiveness of business operations DOI Creative Commons
Rohit Raj, Arpit Singh, Vimal Kumar

et al.

BenchCouncil Transactions on Benchmarks Standards and Evaluations, Journal Year: 2023, Volume and Issue: 3(3), P. 100140 - 100140

Published: Sept. 1, 2023

The study addresses the potential benefits for companies of adopting ChatGPT, a popular chatbot built on large-scale transformer-based language model known as generative pre-trained transformer (GPT). Chatbots like ChatGPT may improve customer service, handle several client inquiries at once, and save operational costs. Moreover, automate regular processes order tracking billing, allowing human employees to focus more complex strategic responsibilities. Nevertheless, before deploying enterprises must carefully analyze its use cases restrictions, well strengths disadvantages. example, requires training data that is particular business domain might produce erroneous ambiguous findings. identifies areas deployment ChatGPT's possible in by drawing literature currently accessible massive models, artificial intelligence. Then, using PSI (Preference Selection Index) COPRAS (Complex Proportional Assessment) approaches, advantages are taken into account prioritized. By highlighting current trends industry, this editorial seeks provide insight present state employing research. also learn biases from create replies reinforce those biases. As result, train fine-tune specific operations, set explicit boundaries limitations use, implement appropriate security measures avoid malicious input. highlights research gap dearth outlining businesses, analyzing limits, offering insights how organizations capabilities enhance their operations.

Language: Английский

Citations

65

Role and Challenges of ChatGPT and Similar Generative Artificial Intelligence in Business Management DOI
Nitin Liladhar Rane

SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

The incorporation of ChatGPT and other Large Language Models (LLMs) has transformed the landscape Business Management across various sectors. This research delves into multifaceted roles these advanced AI technologies play in optimizing different aspects business management. facilitates smooth communication, automates customer support, generates leads, offers personalized experiences, enhancing relationship management from relations to market analysis. Additionally, financial analysis forecasting, LLMs assist businesses interpreting data, enabling data-driven decision-making precise planning. study explores challenges faced by when integrating areas Ethical concerns, such as data privacy algorithmic biases, necessitate careful consideration, urging maintain transparency fairness their AI-driven interactions. Moreover, human resource management, aid talent acquisition, employee training, performance analysis, revolutionizing HR processes. Furthermore, investigates transformative potential similar fostering innovation creativity within By automating routine tasks supply chain logistics, employees can concentrate on strategic planning innovation, thereby operational efficiency competitiveness. highlights significant impact diverse fields While emphasizing benefits, it underscores importance for navigate challenges, promote ethical practices, empower workforce fully utilize an ever-evolving landscape.

Language: Английский

Citations

50

The impending disruption of creative industries by generative AI: Opportunities, challenges, and research agenda DOI
Joseph Amankwah‐Amoah, Samar Abdalla, Emmanuel Mogaji

et al.

International Journal of Information Management, Journal Year: 2024, Volume and Issue: 79, P. 102759 - 102759

Published: Feb. 8, 2024

Language: Английский

Citations

50

Generative artificial intelligence and academia: Implication for research, teaching and service DOI Open Access
Amon Barros, Ajnesh Prasad, Martyna Śliwa

et al.

Management Learning, Journal Year: 2023, Volume and Issue: 54(5), P. 597 - 604

Published: Oct. 6, 2023

In this editorial, we identify some of the opportunities and consequences generative artificial intelligence for academia. We discuss how will affect three main areas an academic’s job responsibilities: research, teaching service. To animate our ideas, offer illustrative examples impact each these areas. Further recognizing that poses both academia from a management learning perspective, use represent positive negative outcome resultant to academic responsibility.

Language: Английский

Citations

42