Human resource management in the age of generative artificial intelligence: Perspectives and research directions on ChatGPT

Human Resource Management Journal, Год журнала: 2023, Номер 33(3), С. 606 - 659

Опубликована: Июль 1, 2023

Abstract ChatGPT and its variants that use generative artificial intelligence (AI) models have rapidly become a focal point in academic media discussions about their potential benefits drawbacks across various sectors of the economy, democracy, society, environment. It remains unclear whether these technologies result job displacement or creation, if they merely shift human labour by generating new, potentially trivial practically irrelevant, information decisions. According to CEO ChatGPT, impact this new family AI technology could be as big “the printing press”, with significant implications for employment, stakeholder relationships, business models, research, full consequences are largely undiscovered uncertain. The introduction more advanced potent tools market, following launch has ramped up “AI arms race”, creating continuing uncertainty workers, expanding applications, while heightening risks related well‐being, bias, misinformation, context insensitivity, privacy issues, ethical dilemmas, security. Given developments, perspectives editorial offers collection research pathways extend HRM scholarship realm AI. In doing so, discussion synthesizes literature on AI, connecting it aspects processes, practices, outcomes, thereby contributing shaping future research.

Язык: Английский

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Convolutional Neural Networks: A Survey

Computers, Год журнала: 2023, Номер 12(8), С. 151 - 151

Опубликована: Июль 28, 2023

Artificial intelligence (AI) has become a cornerstone of modern technology, revolutionizing industries from healthcare to finance. Convolutional neural networks (CNNs) are subset AI that have emerged as powerful tool for various tasks including image recognition, speech natural language processing (NLP), and even in the field genomics, where they been utilized classify DNA sequences. This paper provides comprehensive overview CNNs their applications recognition tasks. It first introduces fundamentals CNNs, layers convolution operation (Conv_Op), Feat_Maps, activation functions (Activ_Func), training methods. then discusses several popular CNN architectures such LeNet, AlexNet, VGG, ResNet, InceptionNet, compares performance. also examines when use advantages limitations, recommendations developers data scientists, preprocessing data, choosing appropriate hyperparameters (Hyper_Param), evaluating model further explores existing platforms libraries TensorFlow, Keras, PyTorch, Caffe, MXNet, features functionalities. Moreover, it estimates cost using potential cost-saving strategies. Finally, reviews recent developments attention mechanisms, capsule networks, transfer learning, adversarial training, quantization compression, enhancing reliability efficiency through formal The is concluded by summarizing key takeaways discussing future directions research development.

Язык: Английский

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Investigating the Influence of Artificial Intelligence on Business Value in the Digital Era of Strategy: A Literature Review

Information, Год журнала: 2023, Номер 14(2), С. 85 - 85

Опубликована: Фев. 2, 2023

For organizations, the development of new business models and competitive advantages through integration artificial intelligence (AI) in IT strategies holds considerable promise. The majority businesses are finding it difficult to take advantage opportunities for value creation while other pioneers successfully utilizing AI. On basis research methodology Webster Watson (2020), 139 peer-reviewed articles were discussed. According literature, performance advantages, success criteria, difficulties adopting AI have been emphasized prior research. results this review revealed open issues topics that call further research/examination order develop capabilities integrate them into business/IT enhance various streams. Organizations will only succeed digital transformation alignment present era by precisely implementing these new, cutting-edge technologies. Despite revolutionary potential may promote, resource orchestration, along with governance dynamic environment, is still complex enough early stages regarding strategic implementation which issue aims address and, as a result, assist future organizations effectively outcomes.

Язык: Английский

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Food quality 4.0: From traditional approaches to digitalized automated analysis

Journal of Food Engineering, Год журнала: 2022, Номер 337, С. 111216 - 111216

Опубликована: Авг. 1, 2022

Язык: Английский

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Artificial intelligence (AI)-assisted HRM: Towards an extended strategic framework

Human Resource Management Review, Год журнала: 2022, Номер 33(1), С. 100940 - 100940

Опубликована: Ноя. 16, 2022

Язык: Английский

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Revolutionizing the circular economy through new technologies: A new era of sustainable progress

Environmental Technology & Innovation, Год журнала: 2023, Номер 33, С. 103509 - 103509

Опубликована: Дек. 29, 2023

Nowadays the pace of production and consumption is reaching environmentally unsustainable levels. In this regard, great technological advances developed in recent years are postulated as a source opportunities to boost circular economy sustainable development. This wide range possibilities offered by new technologies create more reality has aroused curiosity interest academic world, especially years. The main objective research reveal challenges that arise when incorporating objectives economy. Regarding methodology, study been partially supported using bibliometric techniques. results highlight transformative role technologies, blockchain artificial intelligence, advancing economy, with particular emphasis on community technology integration, ethical considerations, synergies, business models, burgeoning bioeconomy. We conclude promise enhanced resource efficiency, optimized supply chains, innovative improved product lifecycle management, offering profound economic environmental benefits while fostering collaborative innovation. However, these also represent address, such integrating advanced methods, ensuring chain transparency, overcoming skill gap, avoiding data centralization, adapting regulatory frameworks foster equitable growth. These some most important areas for further research, those related development employees' capabilities adaptation frameworks, they understudied gaps.

Язык: Английский

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Taming the terminological tempest in invasion science

Biological reviews/Biological reviews of the Cambridge Philosophical Society, Год журнала: 2024, Номер 99(4), С. 1357 - 1390

Опубликована: Март 18, 2024

ABSTRACT Standardised terminology in science is important for clarity of interpretation and communication. In invasion – a dynamic rapidly evolving discipline the proliferation technical has lacked standardised framework its development. The result convoluted inconsistent usage terminology, with various discrepancies descriptions damage interventions. A therefore needed clear, universally applicable, consistent to promote more effective communication across researchers, stakeholders, policymakers. Inconsistencies stem from exponential increase scientific publications on patterns processes biological invasions authored by experts disciplines countries since 1990s, as well legislators policymakers focusing practical applications, regulations, management resources. Aligning standardising stakeholders remains challenge science. Here, we review evaluate multiple terms used (e.g. ‘non‐native’, ‘alien’, ‘invasive’ or ‘invader’, ‘exotic’, ‘non‐indigenous’, ‘naturalised’, ‘pest’) propose simplified terminology. streamlined translate into 28 other languages based ( i ) denoting species transported beyond their natural biogeographic range, ii ‘established non‐native’, i.e. those non‐native that have established self‐sustaining populations new location(s) wild, iii ‘invasive non‐native’ recently spread are spreading invaded range actively passively without human mediation. We also highlight importance conceptualising ‘spread’ classifying invasiveness ‘impact’ management. Finally, protocol dispersal mechanism, origin, population status, iv impact. Collectively introducing present aims facilitate collaboration species.

Язык: Английский

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Drivers of generative artificial intelligence to fostering exploitative and exploratory innovation: A TOE framework

Technology in Society, Год журнала: 2023, Номер 75, С. 102403 - 102403

Опубликована: Окт. 17, 2023

Язык: Английский

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The adoption of artificial intelligence in human resources management practices

International Journal of Information Management Data Insights, Год журнала: 2024, Номер 4(1), С. 100208 - 100208

Опубликована: Янв. 21, 2024

This study explores the impact of Artificial Intelligence (AI) on Human Resources Management Practices. By focusing key outcomes such as accuracy, automation, computing power & capacity, real-time experience, personalization, and time-saving cost saving. The research aims to identity potential benefits AI adoption. Data from 274 IT employees in Chennai City is Collected through a well-structured online questionnaire. Using IBM SPSS version 21 software AMOS used for analysis, proposes novel framework. findings indicate that variables like Accuracy, Computing Power Capacity, Personalization significantly influence Time-Saving Cost Reduction, while Automation Real-Time Experience do not. contribution this lies its exploration specific utilizing Technologies Automation, Real-time Personalization, Saving, provides comprehensive understanding expected when implementing resources relationship among those outcome variables.

Язык: Английский

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How does artificial intelligence (AI) enhance hospitality employee innovation? The roles of exploration, AI trust, and proactive personality

Journal of Hospitality Marketing & Management, Год журнала: 2023, Номер 33(3), С. 261 - 287

Опубликована: Сен. 26, 2023

ABSTRACTThis study examines how employees' perceived AI-supported autonomy influences their innovative performance in hospitality. Drawing on self-determination theory, we proposed and examined a moderated mediation model, positing work exploration as mediator AI trust proactive personality the two moderators. We collected 407 valid questionnaires waves, targeting full-time employees working with technology hospitality industry. Results demonstrated that is positively related to innovation via exploration. This by personality; therefore, who perceive engage more exploratory activities presence of personality. The current illuminates positive role consequent outcomes. Moreover, findings provide suggestions for hotel human resource practitioners target potential help them experience benefits – interaction workplace.本研究考察了员工感知人工智能支持的自主性如何影响他们在酒店业的创新绩效.基于自我决定理论,我们提出并检验了一个有调节的中介模型,将工作探索作为中介,人工智能信任和主动型人格作为两个调节.我们分两波收集了407份有效问卷,对象是酒店业使用人工智能技术的全职员工.研究结果表明,感知人工智能支持的自主性通过探索与创新呈正相关.这种中介关系由人工智能信任和主动型人格调节; 因此,感知到人工智能支持自主性的员工在人工智能信任和主动型人格存在的情况下,会进行更多的探索性活动.目前的研究阐明了人工智能对员工自主性和随后工作结果的积极作用.此外,研究结果为酒店人力资源从业者提供了发掘有潜力员工的建议,并帮助他们在工作场所体验与人工智能互动的好处.KEYWORDS: Artificial intelligence (AI)perceived autonomyexploration, performanceAI trust, AcknowledgmentsThe authors would like thank support Key Project National Social Science Fund China(22&ZD194).Disclosure statementNo conflict interest was reported author(s).Additional informationFundingThis supported China [22&ZD194].

Язык: Английский

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