Little consensus has emerged about how organizational performance should be defined and measured. Most studies have used traditional approaches to give their own perspective about organizational performance and effectiveness, but none have recently tried to encompass these different views into one unified model. In the present paper, Chelladurai's systems view of organizations is used to integrate the dimensions of organizational performance highlighted by previous studies on non-profit sport organizations. These organizational performance dimensions are highlighted and categorized into macro-dimensions (e.g., financial resources acquisition, size, internal atmosphere, organizational operating, financial independence, achieving elite sport success and mass sport participation). Relationships between these macro-dimensions are analyzed. A multidimensional framework is developed which gives an overview of which dimensions constitute organizational performance in non-profit sport organizations and of how to measure them. Further research directions and management implications are discussed.
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Behaviour Change Support Systems (BCSS), already running for the 10th time at Persuasive Technology, is a workshop that builds around the concept of systems that are specifically designed to help and support behaviour change in individuals or groups. The highly multi-disciplinary nature of designing and implementing behaviour change strategies and systems for the strategies has been in the forefront of this workshop from the very beginning. The persuasive technology field is becoming a linking pin connecting natural and social sciences, requiring a holistic view on persuasive technologies, as well as multi-disciplinary approach for design, implementation, and evaluation. So far, the capacities of technologies to change behaviours and to continuously monitor the progress and effects of interventions are not being used to its full potential. The use of technologies as persuaders may shed a new light on the interaction process of persuasion, influencing attitudes and behaviours. Yet, although human- computer interaction is social in nature and people often do see computers as social actors, it is still unknown how these interactions re-shape attitude, beliefs, and emotions, or how they change behaviour, and what the drawbacks are for persuasion via technologies. Humans re-shape technology, changing their goals during usage. This means that persuasion is not a static ad hoc event but an ongoing process. Technology has the capacity to create smart (virtual) persuasive environments that provide simultaneously multimodal cues and psycho-physiological feedback for personal change by strengthening emotional, social, and physical presence. An array of persuasive applications has been developed over the past decade with an aim to induce desirable behaviour change. Persuasive applications have shown promising results in motivating and supporting people to change or adopt new behaviours and attitudes in various domains such as health and wellbeing, sustainable energy, education, and marketing. This workshop aims at connecting multidisciplinary researchers, practitioners and experts from a variety of scientific domains, such as information sciences, human-computer interaction, industrial design, psychology and medicine. This interactive workshop will act as a forum where experts from multiple disciplines can present their work, and can discuss and debate the pillars for persuasive technology.
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Despite the promises of learning analytics and the existence of several learning analytics implementation frameworks, the large-scale adoption of learning analytics within higher educational institutions remains low. Extant frameworks either focus on a specific element of learning analytics implementation, for example, policy or privacy, or lack operationalization of the organizational capabilities necessary for successful deployment. Therefore, this literature review addresses the research question “What capabilities for the successful adoption of learning analytics can be identified in existing literature on big data analytics, business analytics, and learning analytics?” Our research is grounded in resource-based view theory and we extend the scope beyond the field of learning analytics and include capability frameworks for the more mature research fields of big data analytics and business analytics. This paper’s contribution is twofold: 1) it provides a literature review on known capabilities for big data analytics, business analytics, and learning analytics and 2) it introduces a capability model to support the implementation and uptake of learning analytics. During our study, we identified and analyzed 15 key studies. By synthesizing the results, we found 34 organizational capabilities important to the adoption of analytical activities within an institution and provide 461 ways to operationalize these capabilities. Five categories of capabilities can be distinguished – Data, Management, People, Technology, and Privacy & Ethics. Capabilities presently absent from existing learning analytics frameworks concern sourcing and integration, market, knowledge, training, automation, and connectivity. Based on the results of the review, we present the Learning Analytics Capability Model: a model that provides senior management and policymakers with concrete operationalizations to build the necessary capabilities for successful learning analytics adoption.
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Dit artikel beschrijft een onderzoek naar werkzame elementen in de samenwerking binnen innovatieve leeromgevingen, professionele werkplaatsen (PW) genoemd. In PW werken onderwijs en beroepspraktijk samen aan complexe vraagstukken waarbij de ontwikkeling van betrokkenen en de innovatie van de beroepspraktijk centraal staan. Op basis van literatuuronderzoek, verkennende interviews met 11 sleutelfiguren en een meervoudige casestudie waarin vanuit 4 cases 75 betrokkenen participeerden, is het model Lerend en Onderzoekend Samenwerken in PW ontwikkeld. Het model omvat zes elementen en laat zien dat het lerend en onderzoekend samenwerken centraal staat in een PW en zich ontwikkelt binnen een grensoverstijgende en ontwikkelingsgerichte cultuur. Betrokkenen in een PW leren gezamenlijk doordat ze samenwerken in de dienstverlening en hierbij waarde hechten aan het delen van verschillende perspectieven. Door facilitering van mensen en middelen en door de samenwerking vorm te geven vanuit een gezamenlijke visie, kunnen betrokkenen elkaar leren kennen en afstemmen op welke manier zij samen kunnen bijdragen aan de innovatie van de beroepspraktijk. Hiervoor zijn zowel het opbouwen van relaties als het expliciteren en verdelen van taken en verantwoordelijkheden essentieel. Het model, dat een systemisch perspectief kent, biedt uitgangspunten en handvatten om de samenwerking binnen een PW te evalueren en te versterken.
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Recently several attempts were undertaken to unite the field of metaphor studies, trying to reconcile the conceptual/cognition and linguistic/discourse approaches to metaphor (Hampe, 2017b). The dynamic view of metaphor espoused by amongst others Gibbs (2017a) as a way to unify the field of metaphor studies is said to converge on findings and theoretical predictions found in cognition and discourse approaches. The author argues this focus on dynamical models to explain the multi-scale socio-cognitive aspects of metaphor as an emergent phenomenon is not robust enough. Complexity and dynamical systems are merely a modelling technique to deploy theory for empirical testing of hypotheses; a dynamic view of metaphor needs a coherent background theory to base its dynamic modelling of metaphor in action on (Chemero, 2009). I argue that it can be successfully based on the ecological-enactive framework available within the modern paradigm of 4E cognitive science. This framework makes possible explanation of both 'lower' cognition and 'higher' cognition emerging in the interaction of an organism with its environment. In addition, I sketch how recent theoretical insights from ecological-enactivism (Baggs and Chemero, 2018) concerning Gibson's notion of environment apply to the attempted unification of the field of metaphor studies. I close by suggesting how an understanding of metaphor as an ecological affordance of the socio-cultural environment can provide a rich basis for empirical hypotheses within a dynamical science of metaphor.
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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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Innovations are required in urban infrastructures due to the pressing needs for mitigating climate change and prevent resource depletion. In order to address the slow pace of innovation in urban systems, this paper analyses factors involved in attempts to introduce novel sanitary systems. Today new requirements are important: sanitary systems should have an optimal energy/climate performance, with recovery of resources, and with fewer emissions. Anaerobic digestion has been suggested as an alternative to current aerobic waste water treatment processes. This paper presents an overview of attempts to introduce novel anaerobic sanitation systems for domestic sanitation. The paper identifies main factors that contributed to a premature termination of such attempts. Especially smaller scale anaerobic sanitation systems will probably not be able to compete economically with traditional sewage treatment. However, anaerobic treatment has various advantages for mitigating climate change, removing persistent chemicals, and for the transition to a circular economy. The paper concludes that loss avoidance, both in the sewage system and in the waste water treatment plants, should play a key role in determining experiments that could lead to a transition in sanitation. http://dx.doi.org/10.13044/j.sdewes.d6.0214 LinkedIn: https://www.linkedin.com/in/karel-mulder-163aa96/
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Fire fighters operate in a dangerous, dynamic, and complex environment. Artificial Intelligence (AI) systems can contribute to improve fire fighters’ situation awareness and decision-making. However, the introduction of AI systems needs to be done responsibly, taking (human) values into account, especially as the situation in which fire fighters operate is uncertain and decisions have a big impact. In this research, we investigate values that are affected by the introduction of AI systems for fire services by conducting several semi-structured focus group sessions with (operational) fire service personnel. The focus group outcomes are qualitatively analyzed and key values are identified and discussed. This research is a first step in an iterative process towards a generic framework of ethical aspects for the introduction of AI systems in first response, which will give insight into the relevant ethical aspects to take into account when developing AI systems for first responders.
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This paper considers the partnership model, which is in the author’s view the best answer in the social policy creation in contemporary conditions. The author refers to changes and reforms in the development of welfare state in the world from 1980s onwards. He describes various approaches and models, paying particular attention to the welfare society model, and partnership as its central concept. Furthermore, he analyses the functioning of the partnership model based on the experience of the European Union, Great Britain and Hungary
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