BLOCKCHAIN PLATFORM SELECTION AND SOFTWARE DEVELOPMENT FOR DECENTRALIZED EXCHANGE OF BUSINESS PROCESS MODELS

Modern organizations employing the Business Process Management (BPM) approach typically handle collections of hundreds or even thousands of business process models. Business process modeling stands as the central technology within the entire BPM methodology. In line with the BPM lifecycle, these models visually represent current organizational activities that necessitate improvement using various diagramming notations. These graphical business process models can subsequently be employed to analyze ongoing activities in the enterprise, identifying potential drawbacks or “weak spots” that hinder the company’s performance. Through business process models, organizations can modify the “virtual twins” of their organizational workflows, conduct simulations, and make informed decisions for business process improvement. Thus, business process models constitute the most valuable assets of the organization, conveying knowledge about ongoing activities and potentially encapsulating the best organizational or industry practices. The implementation of a centralized database for business process models can significantly benefit the entire organization, enhancing the efficiency of knowledge sharing and accumulation. However, centralized business process model repositories prove less efficient for inter-organizational knowledge exchange. Additionally, most business process models require significant person-hours for development and cannot be shared freely with competitors. The exchange of business process models should adhere to established mechanisms for managing valuable digital assets. Presently, Distributed Ledger Technologies (DLT), especially Blockchain, have gained enormous popularity. Therefore, we can employ the principles of Blockchain technology and the cryptocurrency industry to create software for the Decentralized Exchange (DEX) of business process models. This study explores the selection of a DLT platform and the development of software for the decentralized exchange of business process models, utilizing asset tokenization and smart contract technologies

Discovering Business Models of Data Marketplaces

The modern economy relies heavily on data as a resource for advancement and growth. Data marketplaces have gained an increasing amount of attention since they provide possibilities to exchange, trade and access data across organizations. Due to the rapid development of the field, the research on business models of data marketplaces is fragmented. We aimed to address this issue in this article by identifying the dimensions and characteristics of data marketplaces from a business model perspective. Following a rigorous process for taxonomy building, we propose a business model taxonomy for data marketplaces. Using evidence collected from a final sample of twenty data marketplaces, we analyze the frequency of specific characteristics of data marketplaces. In addition, we identify four data marketplace business model archetypes. The findings reveal the impact of the structure of data marketplaces as well as the relevance of anonymity and encryption for identified data marketplace archetypes

MS

thesisTo conduct clinical research, data are needed from the clinical routine. Due to the complexity of today's Healthcare Information Systems (HIS), clinical researchers oftentimes struggle finding relevant information. As part of the reengineering efforts of the clinical data warehouse towards a translational enterprise data warehouse, a general methodology is developed to describe the complexity of current HIS in all domains, to guide researchers with a clinical questions to the dta they need, and thus to increase accessibility of clinical data for research. An information-requirements analysis was conducted with clinical researchers and data warehouse experts in the domain of pharmacy as groundwork for a new translational meta-model. The results of this analysis were used adapt the strategic HIS management meta-model 3LGM2 and to implement it into the domain of pharmacy. The new translational meta-model consists of a domain-, a logical tool-, and a data description-layer with interlayer relationships. Two further layers, added in a perpendicular way give information about access and quality. This meta-model is implemented as a Web-based solution, providing modeling and browsing functionality. The presented translation meta-data solution shows a promising approach to the problem of clinical data access in research. Further research in needed to prove its applicability and usefulness in the daily routine

Forecasting Time Series Subject to Multiple Structural Breaks

This paper provides a novel approach to forecasting time series subject to discrete structural breaks. We propose a Bayesian estimation and prediction procedure that allows for the possibility of new breaks over the forecast horizon, taking account of the size and duration of past breaks (if any) by means of a hierarchical hidden Markov chain model. Predictions are formed by integrating over the hyper parameters from the meta distributions that characterize the stochastic break point process. In an application to US Treasury bill rates, we find that the method leads to better out-of-sample forecasts than alternative methods that ignore breaks, particularly at long horizons.structural breaks, forecasting, hierarchical hidden Markov chain model, Bayesian model averaging.

Understanding the Elements of Executable Architectures Through a Multi-Dimensional Analysis Framework

The objective of this dissertation study is to conduct a holistic investigation into the elements of executable architectures. Current research in the field of Executable Architectures has provided valuable solution-specific demonstrations and has also shown the value derived from such an endeavor. However, a common theory underlying their applications has been missing. This dissertation develops and explores a method for holistically developing an Executable Architecture Specification (EAS), i.e., a meta-model containing both semantic and syntactic information, using a conceptual framework for guiding data coding, analysis, and validation. Utilization of this method resulted in the description of the elements of executable architecture in terms of a set of nine information interrogatives: an executable architecture information ontology. Once the detail-rich EAS was constructed with this ontology, it became possible to define the potential elements of executable architecture through an intermediate level meta-model. The intermediate level meta-model was further refined into an interrogative level meta-model using only the nine information interrogatives, at a very high level of abstraction

Forecasting and prequential validation for time varying meta-elliptical distributions

We consider forecasting and prequential (predictive sequential) validation of meta-elliptical distributions with time varying parameters. Using the weak prequential principle of Dawid, we conduct model validation avoiding nuisance parameter problems. Results rely on the structure of meta-elliptical distributions and we allow for discontinuities in the marginals and time varying parameters. We illustrate the ideas of the paper using a large data set of 16 commodity prices

The particle system model of income and wealth more likely to imply an analogue of thermodynamics in social science

The Inequality Process (IP) and the Saved Wealth Model (SW) are particle system models of income distribution. The IP’s social science meta-theory requires its stationary distribution to fit the distribution of labor income conditioned on education. The Saved Wealth Model (SW) is an ad hoc modification of the particle system model of the Kinetic Theory of Gases (KTG). The KTG implies the laws of gas thermodynamics. The IP is a particle system similar to the SW and KTG, but less closely related to the KTG than the SW. This paper shows that the IP passes the key empirical test required of it by its social science meta-theory better than the SW. The IP’s advantage increases as the U.S. labor force becomes more educated. The IP is the more likely of the two particle systems to underlie an analogue of gas thermodynamics in social science as the KTG underlies gas thermodynamics.Inequality Process; Kinetic Theory of Gases; labor income distribution; particle system; Saved Wealth Model, social science analogue of thermodynamics

Business Meta-models and the Saga of Business-ITStrategic Alignment

This paper argues that applying the idea of a meta-model, derived from modeling in computer science, to the more informal notions of business models found in the management literature provides researchers with a useful lens through which to view the relationship between IT and business strategy. It provides a brief description of the concepts of a business model and a meta-model and presents four case studies using a particular meta-model for organizations that have achieved strategic innovations. Three of the cases, Amazon, Dell and eBay are well known and are based on secondary sources; the fourth case, a wedding list service called \u271001 Listes\u27, is less widely known and is based on both literature and primary research. The paper concludes with some observations on the role played by IT in business strategy and some suggestions about how the approach of using meta-models could be developed further

Management Control Performance in Moroccan Public Equities

The objective of this scientific contribution was to validate our reticular meta-model of Performance of Management Control (PCDG) and its expanded influence on Social and Environmental Performance (PSE). To achieve this objective, we were able to propose to analyze and measure the performance of public equities by the Method of Structural Equations (MES) in order to validate the meta-model of the Performance of Management Control (PCDG) and its broader influence on Social and Environmental Performance (PSE) as well as the underlying assumptions on which our research is based. In this context, our model has been tested with 44 public equities in Morocco. The predictive vocation of our model, its structural relations and the reflective nature of our constructs led us to retain the Partial Least Squares (PLS) method in order to validate our meta-model of research. Finally, from this empirical tool, it was possible to explain a meta-model of the management of the decision-making management 2.0 of the public equities of Casablanca Stock Exchange and its multiple positive externalities : Relevancy, Utility, Economy, Efficiency and Effectiveness. The various tests carried out rigorously, through the longitudinal survey conducted with Moroccan public equities, relevance and robustness of the Methods and Meta-models of Performance Steering. Keywords: Management Control - Management Control Decision 2.0 – Sustainable Development – Social and Environmental Responsibility (CSR) – Methods and Meta-Models – Performance Steering – Performativity - Public Equities – Casablanca Stock Exchange (BVC) – Relevancy – Utility - Economy – Efficiency – Effectiveness – Management Control Performance – Social and Environmental Performance –Moroccan All Shares Index