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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Introduction: Different models of frameworks for dietetic care are used in Europe. There is a substantial need for a consistent framework to compare research results and to cooperate on an international level. Therefore, one of the goals of the EU-funded project IMPECD was the development of a unified framework Dietetic Care Process (DCP) in order to foster a shared understanding of process-driven dietetic counselling. Materials and Methods:: Based on a literature review and in-depth analysis of different frameworks an iterative and incremental development process of finding solutions for decision-making within the consortium consisting of dietetic experts from 5 European HEI was passed. The developed DCP model was integrated in an online training course including 9 clinical cases (MOOC) to train students. The draft versions and the concluding final version DCP model were evaluated and re-evaluated by teachers and 25 students at two Intensive Study Programmes. Results:: The DCP model consists of five distinct, interrelated steps which the consortium agreed on: Dietetic Assessment, Dietetic Diagnosis, Planning Dietetic Intervention, Implementing Dietetic Intervention, Dietetic Outcome Evaluation. A standardized scheme was developed to define the process steps: dedication, central statement, aim and principles, and operationalization. Discussion:: Existing different process models were analyzed to create a new and consistent concept of a unified framework DCP. The variety within the European countries represented by the consortium proved to be both a challenge in decision-making and an opportunity to integrate multinational perspectives and intensify the scientific discourse. The development of a standardized scheme with precise definitions is a prerequisite for planning study designs in health services research. Besides, clarification is essential for establishing process-guided work in practice. The evaluated MOOC is now implemented in study programmes used by 5 European HEI in order to keep approaches and process-driven action comparable. The MOOC promotes the exchange of ideas between future professionals on an international level.
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This paper generalizes existing BRDF fitting algorithms presented in the literature that aims to find a mapping of the parameters of an arbitrary source material model to the parameters of a target material model. A material model in this context is a function that maps a list of parameters, such as roughness or specular color, to a BRDF. Our conversion function approximates the original model as close as possible under a chosen similarity metric, either in physical reflectivities or perceptually, and calculates the error with respect to this conversion. Our conversion function imposes no constraints other than that the dimensionality of the represented BRDFs match.
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To perform at top level, all systems within an organization need to be aligned. When body and mind aren’t connected, you can’t function well. In the same way that it is important to align the mind and the body, a promising business vision (the mind) will not have the expected result when executed without the alignment of all existing parts of the organization (the body). You have to choose how this vision will fit in. People will experience complexity when new references do not fit in with their existing references – hence, the need for taxonomy to connect the dots and internalize external references. The Company Reference Grid (CRG) is this taxonomy for enterprises and was originally designed by Frans van der Reep [1]. This extended alignment tool combines business, ICT, HRM, and operations from a strategic, entrepreneurial, and operational capabilities point of view.
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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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We present a novel hierarchical model for human activity recognition. In contrast with approaches that successively recognize actions and activities, our approach jointly models actions and activities in a unified framework, and their labels are simultaneously predicted. The model is embedded with a latent layer that is able to capture a richer class of contextual information in both state-state and observation-state pairs. Although loops are present in the model, the model has an overall linear-chain structure, where the exact inference is tractable. Therefore, the model is very efficient in both inference and learning. The parameters of the graphical model are learned with a structured support vector machine. A data-driven approach is used to initialize the latent variables; therefore, no manual labeling for the latent states is required. The experimental results from using two benchmark datasets show that our model outperforms the state-of-the-art approach, and our model is computationally more efficient.
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Abstract. The Clean-Tech Adoption Model (C-TAM) explains the adoption process of clean technology. Based on the Unified Theory of Acceptance and Usage of Technology (UTAUT) combined with qualitative research and empirical data gathering, the model predicts adoption based on the perceived quality, effort, transition, experience and knowledge. Social media introduces a moderating effect, thus legitimizing its effectiveness as a marketing instrument on accelerating the adoption of clean technology. C-TAM is validated; however additional empirical research is necessary. Additionally, the explained variance discrepancy with UTAUT as well as theorizing on the Diffusion of Innovations theory stimulates further research on extra moderators.
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In 2015, the Object Management Group published the Decision Model and Notation with the goal to structure and connect business processes, decisions and underlying business logic. Practice shows that several vendors adopted the DMN standard and (started to) integrate the standard with their tooling. However, practice also shows that there are vendors who (consciously) deviate from the DMN standard while still trying to achieve the goal DMN is set out to reach. This research aims to 1) analyze and benchmark available tooling and their accompanied languages according to the DMN-standard and 2) understand the different approaches to modeling decisions and underlying business logic of these vendor specific languages. We achieved the above by analyzing secondary data. In total, 22 decision modelling tools together with their languages were analyzed. The results of this study reveal six propositions with regards to the adoption of DMN with regards to the sample of tools. These results could be utilized to improve the tools as well as the DMN standard itself to improve adoption. Possible future research directions comprise the improvement of the generalizability of the results by including more tools available and utilizing different methods for the data collection and analysis as well as deeper analysis into the generation of DMN directly from tool-native languages.
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Crime script analysis as a methodology to analyse criminal processes is underdeveloped. This is apparent from the various approaches in which scholars apply crime scripting and present their cybercrime scripts. The plethora of scripting methods raise significant concerns about the reliability and validity of these scripting studies. In this methodological paper, we demonstrate how object-oriented modelling (OOM) could address some of the currently identified methodological issues, thereby refining crime script analysis. More specifically, we suggest to visualise crime scripts using static and dynamic modelling with the Unified Modelling Language (UML) to harmonise cybercrime scripts without compromising their depth. Static models visualise objects in a system or process, their attributes and their relationships. Dynamic models visualise actions and interactions during a process. Creating these models in addition to the typical textual narrative could aid analysts to more systematically consider, organise and relate key aspects of crime scripts. In turn, this approach might, amongst others, facilitate alternative ways of identifying intervention measures, theorising about offender decision-making, and an improved shared understanding of the crime phenomenon analysed. We illustrate the application of these models with a phishing script.
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Presented at the 14th 14th European Conference on Management, Leadership and Governance ECMLG 2018: From the article: "Abstract: Scientific literature and practices emphasize that organizations have to align their business strategies with their IT strategy. Strategic alignment of business with IT in organizations is not only a prerequisite for organizations to be successful or competitive but also positively influences IT effectiveness and leads to greater profitability. At the same time organizations have been struggling for a long time with the concept of strategic alignment. In this paper an enhanced concept of strategic alignment is given in such a way that organizations can practically use to align their business and IT. Based on scientific research in this study the existing concept of strategic alignment model, i.e. the relationship between business and IT, was enhanced by placing the discipline of information management between business and IT and thus making information management responsible for the alignment or linking of business with IT. This conceptually enhanced concept of strategic alignment was practically enhanced even further with the use of the Business information Service Library (BiSL) framework. This framework links business with IT on the strategically, managing and operational level of an organization. The BiSL process framework thus provides an description of the information management processes on the different levels of an organization that have to be implemented and carried out to achieve strategic alignment within an organization. With the support of three experts in the field of information management and BiSL, an enhanced Strategic Alignment Model was constructed. To validate this model 25 semi-structured interviews were conducted in eleven organizations. The results of these interviews show not only a strong and solid support for adding information management to the existing concept of strategic alignment but also indicate a strong and solid support for the use of the BiSL framework for implementing information management. These findings support the notion that the BiSL enhanced Strategic Alignment Model not only provides a conceptually enhanced strategic alignment model but also provides organizations with a concept of strategic alignment that organization can practically use to align their business with IT."
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