Recently, the job market for Artificial Intelligence (AI) engineers has exploded. Since the role of AI engineer is relatively new, limited research has been done on the requirements as set by the industry. Moreover, the definition of an AI engineer is less established than for a data scientist or a software engineer. In this study we explore, based on job ads, the requirements from the job market for the position of AI engineer in The Netherlands. We retrieved job ad data between April 2018 and April 2021 from a large job ad database, Jobfeed from TextKernel. The job ads were selected with a process similar to the selection of primary studies in a literature review. We characterize the 367 resulting job ads based on meta-data such as publication date, industry/sector, educational background and job titles. To answer our research questions we have further coded 125 job ads manually. The job tasks of AI engineers are concentrated in five categories: business understanding, data engineering, modeling, software development and operations engineering. Companies ask for AI engineers with different profiles: 1) data science engineer with focus on modeling, 2) AI software engineer with focus on software development , 3) generalist AI engineer with focus on both models and software. Furthermore, we present the tools and technologies mentioned in the selected job ads, and the soft skills. Our research helps to understand the expectations companies have for professionals building AI-enabled systems. Understanding these expectations is crucial both for prospective AI engineers and educational institutions in charge of training those prospective engineers. Our research also helps to better define the profession of AI engineering. We do this by proposing an extended AI engineering life-cycle that includes a business understanding phase.
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The aim of this meta-analysis was to analyze the experimental research into the effects of job-embedded professional development (JEPD) for teachers and student outcomes. Our meta-analysis of experimental studies of the effects JEPD, included 20 studies (with 79 experimental comparisons) at teacher level and 19 studies at student level (with 34 experimental comparisons). Analyses of the studies, representing 2,062 teachers and 21,425 students, revealed a significant, medium-to-large effect size at teacher level (ES= 0.699, SE= 0.092) and a significant medium effect at student level (ES = 0.523, SE= 0.137). Effects for teachers were smaller in studies with a large sample size. Effects for students were positively related to the length of the intervention. The positive outcomes at teacher and student level support the implementation and expansion of JEPD programsacross schools.
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Person-centered care interventions can improve the quality of life and decrease behavioral problems of people with dementia. Although not convincingly proven, person-centered care interventions may benefit the caregivers as well. This study aims to gain insight into how working with the Veder Contact Method (VCM) – a new person-centered care method – influences the job satisfaction of caregivers.
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Purpose – Information verification is an important factor in commercial valuation practice.Valuers use their professional autonomy to decide on the level of verification required, thereby creating an opportunity for client-related judgement bias in valuation. The purpose of this paper is to assess the manifestation of client attachment risks in information verification. Design/methodology/approach – A case-based questionnaire was used to retrieve data from 290 commercial valuation professionals in the Netherlands, providing a 15 per cent response rate of the Dutch commercial valuation population. Descriptive and inferential statistics have been used to test research hypotheses involving relations between information verification and professional features that may indicate client attachment such as an executive job level and brokerage experience. Findings – The results reveal that valuers acting at partner level within their organisation obtain lower scores on information verification compared to lower-ranked valuers. Also, brokerage experience correlates negatively to information verification of valuation professionals. Both findings have statistical significance. Research limitations/implications – The results reflect valuers’ reasoning behaviour rather than actual behaviour. Replication of findings through experimental design will contribute to research validity. Practical implications – Maintaining close client contact in a competitive environment is important for business continuity yet may foster client attachment.The associated downside risks in valuation practice call for higher awareness of (subconscious) client influence and the development of attitudinal scepticism in valuer training programmes. Originality/value – This paper is one of the few that explore possible sources of valuer judgement bias by relating client-friendly valuer features to a key area of valuation i.e. information verification.
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The world needs more jobs to meet United Nations Sustainable Development Goal 8 and to keep up with expected population growth. Policymakers stimulate start-ups due to their expected job-generating effect. Despite the increased number of solo self-employed, percentages on graduation from small to larger enterprises are low. This study focuses on entrepreneurs who create jobs, and have passed ‘the one-employee threshold’. What are the considerations of the solo self-employed when making the decision to hire their first employee? 27 Interviews were conducted with entrepreneurs in developed and developing countries. The analysis shows that solo self-employed have considerations about time, skills, trust and opportunities when hiring their first employee. The study finds evidence of effectual behaviour. Trust is important: trust in others (the first employee) and trust in yourself (becoming an employer). To stimulate job creation, policymakers should stimulate effectual behavior that enhances the self-efficacy of the solo self-employed. This is a draft chapter/article. The final version is available in Unlocking Regional Innovation and Entrepreneurship edited by Iréne Bernhard, PhD, Urban Gråsjö, PhD, School of Business, Economics and IT, University West and Charlie Karlsson, Professor Emeritus, Jönköping University and Blekinge Institute of Technology, Sweden, published in 2021, Edward Elgar Publishing Ltd https://doi.org/10.4337/9781800371248
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Purpose: The aim of this study was to investigate the effect of possible late effects of cancer treatment (physical complaints, fatigue, and cognitive complaints) and of two job resources (autonomy and supportive leadership style) on future burnout complaints, among employees living 2–10 years beyond breast cancer diagnosis.Methods: Data at T1 (baseline questionnaire) and at T2 (9 months later) were collected in 2018 and 2019 (N = 287). These data were part of a longitudinal study among Dutch speaking workers with a cancer diagnosis 2–10 years ago. All complaints and job resources were self-reported. Longitudinal multivariate regression analyses were executed, controlling for years since diagnosis, living with cancer (recurrence or metastasis), and other chronic or severe diseases. Mediation by baseline burnout complaints was considered.Results: A higher level of fatigue and cognitive complaints at baseline (T1) resulted in higher future burnout complaints (at T2), with partial mediation by baseline burnout complaints. No effect of physical complaints at T1 was observed. Higher levels of autonomy or a supportive leadership style resulted in lower burnout complaints, with full mediation by baseline burnout complaints. Buffering was observed by autonomy in the relationship of cognitive complaints with future burnout complaints. No moderation was observed by supportive leadership.Conclusion: The level of burnout complaints among employees 2–10 years beyond breast cancer diagnosis may be an effect of fatigue or cognitive complaints, and awareness of this effect is necessary. Interventions to stimulate supportive leadership and autonomy are advisable, the latter especially in the case of cognitive complaints.
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As artificial intelligence (AI) reshapes hiring, organizations increasingly rely on AI-enhanced selection methods such as chatbot-led interviews and algorithmic resume screening. While AI offers efficiency and scalability, concerns persist regarding fairness, transparency, and trust. This qualitative study applies the Artificially Intelligent Device Use Acceptance (AIDUA) model to examine how job applicants perceive and respond to AI-driven hiring. Drawing on semi-structured interviews with 15 professionals, the study explores how social influence, anthropomorphism, and performance expectancy shape applicant acceptance, while concerns about transparency and fairness emerge as key barriers. Participants expressed a strong preference for hybrid AI-human hiring models, emphasizing the importance of explainability and human oversight. The study refines the AIDUA model in the recruitment context and offers practical recommendations for organizations seeking to implement AI ethically and effectively in selection processes.
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Nowadays companies need higher educated engineers to develop their competences to enable them to innovate. This innovation competence is seen as a remedy for the minor profitable business they do during the financial crises. Innovation is an element to be developed on the one hand for big companies as well as for small-and-medium sized companies through Europe to overcome this crisis. The higher education can be seen as an institution where youngsters, coming from secondary schools, who choose to learn at higher education to realize their dream, what they like to become in the professional world. The tasks of the Universities of applied Sciences are to prepare these youngsters to become starting engineers doing their job well in the companies. Companies work for a market, trying to manufacture products which customers are willing to pay for. They ask competent employees helping achieving this goal. It is important these companies inform the Universities of applied Sciences in order to modify their educational program in such a way that the graduated engineers are learning the latest knowledge and techniques, which they need to know doing their job well. The Universities of applied Sciences of Oulu (Finland) and Fontys Eindhoven (The Netherlands) are working together to experience possibilities to qualify their students on innovation development in an international setting. In the so-called: ‘Invention Project’, students are motivated to find their own invention, to design it, to prepare this idea for prototyping and to really manufacture it. Organizing the project, special attention is given to communication protocol between students and also between teachers. Students have meetings on Thursday every week through Internet connection with the communication program OPTIMA, which is provided by the Oulu University. Not only the time difference between Finland and the Netherlands is an issue to be organized also effective protocols how to provide each other relevant information and also how to make in an effective way decisions are issues. In the paper the writers will present opinions of students, teachers and also companies in both regions of Oulu and Eindhoven on the effectiveness of this project reaching the goal students get more experienced to set up innovative projects in an international setting. The writers think this is an important and needed competence for nowadays young engineers to be able to create lucrative inventions for companies where they are going to work for. In the paper the writers also present the experiences of the supervising conditions during the project. The information found will lead to success-factors and do’s and don’ts for future projects with international collaboration.
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Dissertatie met als onderwerp het ontwerp en evaluatie van de Hogere Beroepsopleidding Orthopedische Technologie in Nederland. In deze dissertatie wordt naast het ontwerp van de opleiding ingegaan op een vergelijking die is gemaakt met andere opleidingen op het gebied van hoger orthopedisch technologisch onderwijs in de wereld.
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This study empirically examines individual and organizational factors that influence expatriates’ cross-cultural adjustment and job performance. The study was a quantitative research from 117 Thai expatriates who work in Thai multinational companies (MNC) located in Indonesia. The results of the study indicated that financial perceived organizational support influence positively towards Thai expatriates’ overall cross-cultural adjustment in Indonesia. This study found that cross-cultural training influenced positively towards Thai expatriates’ adjustment. A causal relationship between the predicting variables of crosscultural adjustment and Thai expatriates’ job performance was not found. Results suggest important consequences for management strategies providing support to Thai expatriate employees increasing their adjustment in Indonesia. Keywords: Cross-Cultural Adjustment; Job
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