from the article: "In the Netherlands, housing corporations are increasingly adopting self-service technologies (SSTs) to support affairs their tenants need to arrange. The purpose of the study is to examine the customers’ motivations of using SSTs in the context of the Dutch public housing sector. An empirical investigation is presented based on a sample of 1,209 tenants. Using partial least squares (PLS), the acceptance model of Blut, Wang, and Schoefer is adopted and tested. The results show that especially the need for interaction negatively influence the adoption of SSTs by tenants. Positively, subjective norm and self-efficacy influence the adoption. Furthermore, playfulness negatively influences this adoption. Developers of SSTs should focus on its ulitalitarian function, rather then invest in its playfulness. Moreover, adoption is propelled by the encouragement of others. This can be enhanced by positive word-of mouth and should therefore stimulated."
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Although governments are investing heavily in big data analytics, reports show mixed results in terms of performance. Whilst big data analytics capability provided a valuable lens in business and seems useful for the public sector, there is little knowledge of its relationship with governmental performance. This study aims to explain how big data analytics capability led to governmental performance. Using a survey research methodology, an integrated conceptual model is proposed highlighting a comprehensive set of big data analytics resources influencing governmental performance. The conceptual model was developed based on prior literature. Using a PLS-SEM approach, the results strongly support the posited hypotheses. Big data analytics capability has a strong impact on governmental efficiency, effectiveness, and fairness. The findings of this paper confirmed the imperative role of big data analytics capability in governmental performance in the public sector, which earlier studies found in the private sector. This study also validated measures of governmental performance.
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This study examines completion rate for a self-assessment survey designed to assess employees' digital skills levels in the workplace. The aim is to improve data quality by investigating completion of the survey. The study reviews the theoretical background related to self-assessment surveys and completion rate, and explores the influence of survey length and format in survey design on completion rate. The research design and data analysis are described in detail, with a focus on identifying factors that may influence completion rate. Results suggest that survey designers should consider using Likert scales to optimize completion rate and completion time. However, this study did not find a significant increase in completion rate as a result of motivation, which was claimed from the literature. The study concludes with implications for the design and implementation of self-assessment surveys in the workplace, including the importance of reducing length and complexity of survey items and questions.
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Abstract The emergence of new technologies such as mp3 and music streaming, and the accompanying digital transformation of the music industry, have led to the shift and change of the entire music industry’s value chain. While music is increasingly being consumed through digital channels, the number of empirical studies, particularly in the field of music copyright in the digital music industry, is limited. Every year, rightsholders of musical works, valued 2.5 billion dollars, remain unknown. The objectives of this study are twofold: First to understand and describe the structure and process of the Dutch music copyright system including the most relevant actors within the system and their relations. Second to apply evolutionary economics approach and Values Sensitive Design method within the context of music copyright through positive-empirical perspective. For studies of technological change in existing markets, the evolutionary economics literature provides a coherent and evidence-based foundation. The actors are generally perceived as being different, for example with regard to their access to information, their ability to handle information, their capital and knowledge base (asymmetric information). Also their norms, values and roles can differ. Based on an analysis of documents and held expert interviews, we find that the collection and distribution of the music copyright money is still based on obsolete laws, neoclassical paradigm and legacy IT-system. Finally, we conclude that the rightsholders are heterogenous and have asymmetrical information and negotiating power. The outcomes of this study contribute to create a better understanding of impact of digitization of music copyright industry and empower the stakeholders to proceed from a more informed perspective on redesigning and applying the future music copyright system and pre-digital norms and values amongst actors.
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This thesis provides an examination of judgement autonomy of Dutch commercial real estate valuers in relation to client orientation. The valuation of commercial real estate such as offices or retail properties requires in-depth analysis due to its uniqueness by location, building type and usage details. Essentially, a register-valuer is qualified and instructed to assess a property value to one’s best cognitive effort and inform others of this outcome by means of a valuation report. In the Netherlands, concerns over independence risks and client-related judgement risks of valuers have been raised by regulative authorities as the Dutch Central Bank (DNB) and the Dutch Authority for the Financial Markets (AFM). A significant part of these concerns followed the 2008 financial crisis, which appeared to be at least partially driven by unreliable and incomparable valuations of Dutch commercial real estate (AFM, 2014; DNB, 2012; 2015). Among other things, these concerns led to the instigation of the Nederlands Register Vastgoed Taxateurs (NRVT) in 2015. NRVT is a new Dutch central register of valuation practitioners set up in order to improve self-regulation, quality control and compliance of valuation practitioners. Currently, the chamber for commercial real estate valuation holds about 2,000 commercial valuation registrations (NRVT, 2020). The introduction of NRVT, and other measures taken, reflect an instrumental view towards enhancing professionalism of Dutch valuers. This view is based on a systematic orientation to professional conduct in which good practice is primarily objectively determined (Van Ewijk, 2019). However, Wassink and Bakker (2016) point out that individuals make personal choices in order to deal with work complexity. Insight into and reflection on individual choices is part of what is referred to as normative aspects of professionalisation: what norms prevail in individual judgement and decision-making and why (Van Ewijk, 2019). In this regard, insight into judgement reasoning of valuation practitioners may contribute to normative levels of professional development of valuers. The need for such is expressed through community concerns over how individual judgement autonomy may become subdued due to instrumental-driven developments taking place in the sector. The combination of authoritative concerns over professional quality in the Netherlands and lack of (scientific) insight on how client influence affects judgement in valuation practice poses a problem: How may practitioners address client-related judgement bias risks and improve valuation accuracy from this viewpoint, if little is known on how such risks may occur in daily practice? The seemingly scarce scientific insights available in this regard in the Netherlands may also prevent educational programs to adequately address valuer independence and objectivity risks in relevant training programs. In order to address this knowledge gap, the present PhD research examines the following research problem: 169 Summary “How does client orientation affect professional judgement autonomy of commercial real estate valuers in the Netherlands?” The term ‘client orientation’ should be broadly interpreted and may refer to valuers’ perception, understanding and meaning given to alleged, actual or anticipated client-related aspects. Information on such client aspects is not required for the performance of valuation instructions. It should also be noted that this research examines the context of how client orientation may affect valuer judgement reasoning patterns during work practice, yet not its effect in terms of decision on final value opinion.
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Europe is on the path, though rocky, to political and cultural unity. After World War II, relatively large numbers of immigrants moved to Europe and brought with them outside cultural customs and religions. The issue of multiculturalism in society has been on the political agenda for decades, but attitudes have changed drastically since 11th September 2001. Attitudes in relation to migrants, particularly those with a Muslim background, have become more wary and critical. Islam has become associated with violence and terrorism and fears have grown that migration exacerbates this threat to society. These societal developments pose a threat to intercultural education. This article explores the societal situation in the Netherlands and Germany using empirical data and elaborates how youth in the Netherlands and Germany evaluate their relationship with migrant, especially through the dimension of religious tolerance and acceptance.
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PURPOSE: To examine physician assistant (PA) job satisfaction and identify factors predicting job satisfaction and identify areas of needed research. With a global PA movement underway and a half-century in development, the empirical basis for informing employers of approaches to improve job satisfaction has not received a careful review.METHODS: A narrative review of empirical research was undertaken to inform stakeholders about PA employment with a goal of improved management. The a priori criteria included published studies that asked PAs about job satisfaction. Articles addressing PA job satisfaction, written in English, were reviewed and categorized according to the Job Characteristics Model.RESULTS: Of 68 publications reviewed, 29 met criteria and were categorized in a Job Characteristics Model. Most studies report a high degree of job satisfaction when autonomy, income, patient responsibility, physician support, and career advancement opportunities are surveyed. Age, sex, specialty, and occupational background are needed to understand the effect on job satisfaction. Quality of studies varies widely.CONCLUSIONS: Employers may want to examine their relationships with PAs periodically. The factors of job satisfaction may assist policymakers and health administrators in creating welcoming professional employment environments. The main limitation: no study comprehensively evaluated all the antecedents of job satisfaction. PAs seem to experience job satisfaction supported by low attrition rates and competitive wages. Contributing factors are autonomy, experienced responsibility, pay, and supportive supervising physician. A number of intrinsic rewards derived from the performance of the job within the social environment, along with extrinsic rewards, may contribute to overall job satisfaction. PA job satisfaction research is underdeveloped; investigations should include longitudinal studies, cohort analyses, and economic determinants.
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Artificial Intelligence (AI) offers organizations unprecedented opportunities. However, one of the risks of using AI is that its outcomes and inner workings are not intelligible. In industries where trust is critical, such as healthcare and finance, explainable AI (XAI) is a necessity. However, the implementation of XAI is not straightforward, as it requires addressing both technical and social aspects. Previous studies on XAI primarily focused on either technical or social aspects and lacked a practical perspective. This study aims to empirically examine the XAI related aspects faced by developers, users, and managers of AI systems during the development process of the AI system. To this end, a multiple case study was conducted in two Dutch financial services companies using four use cases. Our findings reveal a wide range of aspects that must be considered during XAI implementation, which we grouped and integrated into a conceptual model. This model helps practitioners to make informed decisions when developing XAI. We argue that the diversity of aspects to consider necessitates an XAI “by design” approach, especially in high-risk use cases in industries where the stakes are high such as finance, public services, and healthcare. As such, the conceptual model offers a taxonomy for method engineering of XAI related methods, techniques, and tools.
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Artificial Intelligence (AI) is increasingly used in the media industry, for instance, for the automatic creation, personalization, and distribution of media content. This development raises concerns in society and the media sector itself about the responsible use of AI. This study examines how different stakeholders in media organizations perceive ethical issues in their work concerning AI development and application, and how they interpret and put them into practice. We conducted an empirical study consisting of 14 semi-structured qualitative interviews with different stakeholders in public and private media organizations, and mapped the results of the interviews on stakeholder journeys to specify how AI applications are initiated, designed, developed, and deployed in the different media organizations. This results in insights into the current situation and challenges regarding responsible AI practices in media organizations.
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