Artificial intelligence: an overview of research trends and future directions

International Journal of Contemporary Hospitality Management, Год журнала: 2024, Номер unknown

Опубликована: Апрель 2, 2024

Purpose This study aims to offer an overview of hospitality and tourism research on artificial intelligence (AI) its impact the industry. More specifically, this examines AI trends in customer service experience creation delivery, failure recovery, human resources organizational behavior. Based review, identifies challenges opportunities provides directions for future studies. Design/methodology/approach A narrative synthesis approach was used review various aspects Findings applications delivery possible effects employees organizations are viewed as a double-edged sword. Although use offers benefits, there also serious concerns over ethical AI, replacement by AI-powered devices, discomfort among customers trust toward AI. Originality/value The paper updated holistic implications different facets Challenges discussed foster discussions scholars industry professionals.

Язык: Английский

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Assessing the Effect of Artificial Intelligence Anxiety on Turnover Intention: The Mediating Role of Quiet Quitting in Turkish Small and Medium Enterprises

Behavioral Sciences, Год журнала: 2025, Номер 15(3), С. 249 - 249

Опубликована: Фев. 22, 2025

The concept of artificial intelligence (AI) refers to technologies that imitate human-like thinking, learning and decision-making abilities. While integrating AI into the workforce offers potential increase efficiency in organizational activities, it can lead negative effects such as anxiety, uncertainty, distrust among employees which results from not being able understand these technologies, regarding them alternatives for themselves, possibility losing their position. These reduce employees’ commitment at work trigger behaviors quiet quitting turnover intention. Starting this point, present study aims investigate effect anxiety on intention mediating role relationship. was conducted using a cross-sectional design with 457 people working SMEs Kırıkkale province. Anxiety, Quiet Quitting, Turnover Intention Scales were utilized during data collection process. obtained analyzed through structural equation modeling. In addition detecting significant relationships between concepts result analysis, realized did have considerable directly intention; however, occurred indirectly quitting. Accordingly, is predicted business processes will concerns about job security employees, triggers by leading tendency toward reasons loss motivation low commitment.

Язык: Английский

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An empirical study on the dark side of service employees’ AI awareness: Behavioral responses, emotional mechanisms, and mitigating factors

Journal of Retailing and Consumer Services, Год журнала: 2024, Номер 79, С. 103869 - 103869

Опубликована: Апрель 23, 2024

Язык: Английский

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The two faces of Artificial Intelligence (AI): Analyzing how AI usage shapes employee behaviors in the hospitality industry

International Journal of Hospitality Management, Год журнала: 2024, Номер 122, С. 103875 - 103875

Опубликована: Июль 29, 2024

Язык: Английский

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Examining the influence of AI event strength on employee performance outcomes: Roles of AI rumination, AI-supported autonomy, and felt obligation for constructive change

International Journal of Hospitality Management, Год журнала: 2025, Номер 126, С. 104111 - 104111

Опубликована: Янв. 16, 2025

Язык: Английский

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To be right on the button: How and when hotel frontline service employees’ AI awareness influences deviant behavior

International Journal of Hospitality Management, Год журнала: 2025, Номер 126, С. 104090 - 104090

Опубликована: Янв. 16, 2025

Язык: Английский

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When Healthcare Professionals Use AI: Exploring Work Well-Being Through Psychological Needs Satisfaction and Job Complexity

Behavioral Sciences, Год журнала: 2025, Номер 15(1), С. 88 - 88

Опубликована: Янв. 18, 2025

This study examines how the use of artificial intelligence (AI) by healthcare professionals affects their work well-being through satisfaction basic psychological needs, framed within Self-Determination Theory. Data from 280 across various departments in Chinese hospitals were collected, and hierarchical regression analyzed to assess relationship between AI, needs (autonomy, competence, relatedness), well-being. The results reveal that AI enhances indirectly increasing these needs. Additionally, job complexity serves as a boundary condition moderates Specifically, weakens autonomy while having no significant effect on relatedness. These findings suggest impact professionals’ is contingent complexity. highlights promoting at context adoption requires not only technological implementation but also ongoing adaptation meet evolving insights provide theoretical foundation practical guidance for integrating into support professionals.

Язык: Английский

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From fear to empowerment: the impact of employees AI awareness on workplace well-being – a new insight from the JD–R model

Journal of Health Organization and Management, Год журнала: 2025, Номер unknown

Опубликована: Янв. 29, 2025

Purpose The primary purpose of the study was to explore impact health workers’ awareness artificial intelligence (AI) on their workplace well-being, addressing a critical gap in literature. By examining this relationship through lens Job demands-resources (JD–R) model, aimed provide insights into how perceptions AI integration jobs and careers could influence informal learning behaviour and, consequently, overall well-being workplace. study’s findings inform strategies for supporting healthcare workers during technological transformations. Design/methodology/approach employed quantitative research design using survey methodology collect data from 420 across 10 hospitals Ghana that have adopted technologies. analysed OLS structural equation modelling. Findings revealed positively impacts at Again, well-being. Moreover, mediates between wellbeing. Furthermore, employee orientation found strengthen effect behaviour. Research limitations/implications While provides valuable insights, it is important acknowledge its limitations. conducted specific context (Ghanaian adopting AI), which may limit generalizability other settings or industries. Self-reported questionnaires be subject response biases, did not account potential confounding factors relationships variables. Practical implications offers practical organizations navigating digital transformation era. understanding positive can prioritize initiatives foster learning-oriented culture opportunities learning. This include implementing mentorship programs, encouraging knowledge-sharing among employees offering training development resources help adapt AI-driven changes. Additionally, highlight importance promoting orientation, enhance effectiveness such initiatives. Originality/value contributes existing literature by relatively unexplored area – previous has focused job displacement effects AI, takes unique perspective shape subsequently, drawing JD–R model incorporating as moderator, novel theoretical framework adoption organizations.

Язык: Английский

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The double-edged sword effect of artificial intelligence awareness on organisational citizenship behaviour: a study based on knowledge workers

Behaviour and Information Technology, Год журнала: 2025, Номер unknown, С. 1 - 17

Опубликована: Фев. 7, 2025

Язык: Английский

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Facing or avoiding? How dependence on artificial intelligence influences hotel employees’ job crafting

International Journal of Contemporary Hospitality Management, Год журнала: 2025, Номер unknown

Опубликована: Фев. 11, 2025

Purpose As more hotels adopt artificial intelligence (AI), it becomes inevitable for employees to rely on abilities enhanced by the use of AI complete tasks. However, our understanding how adapt this shift in work design remains limited. Therefore, purpose study is explore hotel employees’ approach and avoidance behavioral reactions dependence AI. Design/methodology/approach A three-wave field was conducted, collecting data from 303 analyzed using Mplus 8.3. Findings Dependence can be construed as a positive stimulus, augmenting harmonious passion subsequently promoting job crafting. The promotion focus positively moderates process. On other hand, also perceived negative heightening feelings threat and, consequently, fostering In case, prevention Practical implications This provides theoretical foundations decision-making references management practice. Managers should implement measures guide developing proper provide them with emotional support institutional safeguards. Originality/value unveils consequences employees, offering new perspectives research industry. By differentiating crafting, theorizes tests dual-path model may influence thereby enriching AI–job crafting literature.

Язык: Английский

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