A comparative study on the impact of artificial intelligence on employment opportunities for university graduates in Germany and the Netherlands: AI opportunities and risks

Rauf, Abdul; Ashfaq, Muhammad; Hasan, Rashedul; Manju, Md Abu

doi:10.1504/ijewe.2021.119679

Cited by 8 publications

(5 citation statements)

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“…Students are of the opinion that it is the responsibility of their HEI to fully equip them with the right skills to enable them to work in AI work environments. This supports the findings from Rauf et al (2021), Small et al (2018) and Stine et al (2019), which emphasize that one of the main intentions of HEIs is to make young learners ready for future job markets and/or entrepreneurial endeavours and to fulfil the needs of future employers. Although students believe that their HEI has prepared them with some major skills, they do not perceive that their HEI is fully equipped to optimally prepare them for work in AI work environments.…”

Section: Discussionsupporting

confidence: 87%

“…Though the significance of HEIs delivering high-quality, relevant education cannot be overstated, it is suggested in some studies on HEIs that current education systems and approaches have been largely ineffective (Small, et al, 2018; Abelha, et al, 2020; Rouf, et al, 2016), as they have failed to prepare students sufficiently for the new challenges involving AI (Rauf, et al, 2021). Ascertaining students’ expectations and perceptions about AI education in their HEIs may help to better manage their expectations and to fill the knowledge gap with regard to working in an AI environment.…”

Section: Introductionmentioning

confidence: 99%

“…Since AI is demonstrating its potential and capacity to reshape businesses, industries and competitive landscapes, the effect will ripple out to business education (Stine, et al, 2019). Bessen (2018) also states that the need to equip future workers for new tasks and occupations is a necessity, since one of the main intentions of higher education is to make young learners ready for their future careers and to a large extent to fulfil the needs of future employers (Rauf, et al, 2021;Small, et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

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Business students’ perceptions of Dutch higher educational institutions in preparing them for artificial intelligence work environments

Abdelwahab

Rauf

Chen

2022

Industry and Higher Education

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The application of artificial intelligence (AI) brings new demand to the job market. The concern now is whether higher education institutions (HEIs) have adequately prepared young learners to work in an AI work environment. This research seeks to explore business students’ perceptions of their HEIs in the Netherlands in preparing them for AI work environments. A questionnaire-based survey was completed by 95 students from 27 HEIs in the Netherlands. The findings show that these students believe that their HEIs are not optimally equipped at this time and/or have not optimally utilized their facilities to adequately prepare them for AI work environments. This study reinforces the urgency of updating the curriculum and educational facilities for AI work environments and provides suggestions for future research.

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Section: Discussionsupporting

confidence: 87%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Business students’ perceptions of Dutch higher educational institutions in preparing them for artificial intelligence work environments

Abdelwahab

Rauf

Chen

2022

Industry and Higher Education

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“…Given the above discussion, in the context of this research, the concept of AI refers to a system, both in digital form (e.g. through an app on a phone or a computer) as well as in the form of robots, that in some form approximates human behaviour and makes input-based decisions (Rauf et al , 2021). In the hotel industry, AI and robots are becoming critical investments (Gretzel, 2016).…”

Section: Literature Reviewmentioning

confidence: 99%

Millennials’ perceptions of artificial intelligence in hotel service encounters

Rauf

Zurcher

Pantelidis

et al. 2022

CBTH

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Purpose Artificial intelligence (AI) is increasingly becoming part of the hospitality industry. In times of staff shortages, AI used in the industry can have advantages, but it also brings with it the possibility of customer backlash. The purpose of this paper is to understand the potential response of millennial guests to the potential applications of AI in the hotel industry. The emphasis was on which hotel service encounter categories are most suited to replacing employees with AI in the context of the millennial guest experience. Design/methodology/approach This quantitative research used a survey questionnaire for the data collection. Responses from 169 millennials from six continents were analysed using a combination of descriptive statistics, t-tests, MANOVA tests and Bonferroni tests. Findings Four service encounter categories were studied: (i) “Check-in”, (ii) “Reception Services (excl. check-in)”, (iii) “Wellness” and (iv) “Food and Beverage Services”. The results showed that of these four categories, “Food and Beverage Services” is more suited to replacing employees with AI than “Wellness”. Practical implications The findings of this research are important as they contribute to the body of knowledge related to the implementation of AI in the hospitality industry and provide useful information to policymakers and hotel managers who may wish to identify suitable areas for investment related to AI in their operations. Originality/value This study offers useful insight on a cutting-edge topic of AI application for service encounters within the hospitality sector and confirms the suitability of some encounters.

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“…elds, such as nance(Bahrammirzaee, 2010), education(Rauf et al, 2021), social psychology, management, and agriculture(Khan et al, 2022). Further, AI has extensive applications in various industries(Audibert et al, 2022).…”

mentioning

confidence: 99%

Can Generative AI Craft Variable Questions? A Mixed-Method Study on AI’s Capability to Adopt, Adapt, and Create New Scales

Salah,

Abdelfattah,

Alhalbusi

et al. 2024

Preprint

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This study examines the capabilities of Generative artificial intelligence (AI), particularly GPT-4, in transforming research scale development, a process traditionally characterized by extensive time requirements and the potential for human bias. The research aims to clarify whether AI can match and enhance the efficiency and objectivity of research scale creation and adaptation. By adopting a mixed-method design, the study utilizes GPT-4 to generate and modify research scales, which were then rigorously evaluated for reliability and validity and juxtaposed against the scales developed through traditional methodologies. This comprehensive evaluation encompasses quantitative and qualitative assessments and provides a general view of the effectiveness of AI-generated scales. Results revealed GPT-4’s remarkable ability to produce reliable, valid, and comparable research scales that were developed using established methods. Expert feedback further underscores AI’s potential in this field, particularly in reducing human biases and increasing methodological efficiency. A synergistic approach was developed Based on consensus, combining AI’s computational strengths and human oversight and expertise. This study highlights a significant advancement in research methodology and illustrates AI's practical and beneficial integration in scale development. Moreover, it opens new research practice avenues and enables the selection of highly streamlined, unbiased, innovative scale creation processes.

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A comparative study on the impact of artificial intelligence on employment opportunities for university graduates in Germany and the Netherlands: AI opportunities and risks

Cited by 8 publications

References 0 publications

Business students’ perceptions of Dutch higher educational institutions in preparing them for artificial intelligence work environments

Business students’ perceptions of Dutch higher educational institutions in preparing them for artificial intelligence work environments

Millennials’ perceptions of artificial intelligence in hotel service encounters

Can Generative AI Craft Variable Questions? A Mixed-Method Study on AI’s Capability to Adopt, Adapt, and Create New Scales

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