Could a Resource be Simultaneously a Schedule according to the REA Ontology

This paper describes using of the Resource-Event-Agent (REA) framework to model enterprise planning at operational level. The aim is to further utilize the possibilities and potential of the framework in the areas with prevailing conversion rather than exchange processes. During the modeling we came across the situation when an entity may be viewed as two different REA concepts, which breaks the REA ontology. In the next of the paper we suggest some rational possibility how to solve the problem. The paper also partly mentions the mechanism of inner or nested classes that can be used for implementation of the two different views on the entity in the given context.REA; Business patterns; REA ontology; production schedule modelling

Exploring ‘People’ as the key element in enterprise architecture implementation: A Critical Realist Perspective

TOGAF (2009) describes the purpose of Enterprise Architecture (EA) is to optimise enterprisewide systems - the often-fragmented legacy of data processes (both manual and automated) - into an integrated environment that is responsive to change and supports the delivery of the business strategy (The Open Group Architecture Framework [TOGAF], 2009). However, for a number of reasons organisations still have difficulties establishing an effective EA (Raadt & Vliet, 2008; Gartner, 2009; and Janssen & Klievink, 2012, among others) and various reports suggest up to two thirds of implementations do not fulfil expectations (Roeleven, 2010). Being organisation wide with a strong governance element EA has significant social implications and social dependence, yet many implementations wrongly treat EA as solely a technical program. This thesis argues that the lack of focus on the ‘people’ element of EA could be the reason why many organisations still struggle with EA implementation. Recognising the importance of people in EA implementation requires acceptance of implementation as a social program, heavily influenced by the structural and cultural systems surrounding the architecture. In order to address the need for greater recognition of the role of people and the social aspects of EA implementation, this thesis adopts critical realism (CR) and its most recognised methodology, the morphogenetic approach (MA). Realism emphasises ontology and strongly argues that ontology, methodology and epistemology are closely linked – as Fleetwood (2005, p. 197) suggests, ontology matters: “The way we think the world is (ontology) influences: what we think can be known about it (epistemology); how we think it can be investigated (methodology and research techniques); the kinds of theories we think can be constructed about it; and the political and policy stances we are prepared to take”. In order to examine the social implications of technology implementation it makes sense to adopt a wellrecognized social theory like critical realism. This social realist approach proposes an analytical separation between structure, culture and agency (people) in order to examine their interactions over time. The MA suggests three important cycles – structural conditioning, social interaction and structural elaboration that provide a platform for examining possible change. Archer also importantly suggests that the emergent properties of collectivities and individuals differ. Such a model has clear value for examining the “people” acceptance of the new impositions and opportunities provided by the EA implementation. It acknowledges the sociocultural consequences of interactions between the structure and the culture to provide particular situational logics that direct, but do not determine the actions of people. The MA emphasises strongly the role of time in situation examination suggesting that structure and culture predate subsequent actions by involved agents. The thesis describes particular situational logics or mechanisms emanating from the interaction between structural and cultural systems that encourage particular behaviours in response to the EA program. These actions are then further examined in the sequence of MA cycles. Since mechanisms are only effective if people adopt them or not, another important element in this study is the part played by “reflexivity”. Reflexivity highlights the linkage between people concerns, projects and practices as people act in order to promote their concerns, and form projects to advance or to protect what they care about most. Reflexivity is an important mechanism for explaining how people’s ultimate concerns impact on their approach to the impositions of EA. An Australian university implementing EA (termed UX for anonymity) has been used as a case study in this research – this fortuitous timing allowed a careful and detailed examination of implementation over a 3-year period from initial rollout to ultimate acceptance. The study describes the challenging environment of university implementation where “academic freedom” is paramount and individual and group autonomies are threatened by EA – the study presents the important mechanisms and situational logics that direct people’s actions within the complex social context of a university. Semi-structured in-depth interviews were used as the primary method of data collection across UX stakeholders. A range of interviews were held throughout the study period with the university IT Governance Committee, the University Architecture Board, the CIO, and the Enterprise Business Group, as well as individual end-users such as teaching staff, researchers, students, and administrative staff of the faculties, schools and service centres. The MA provided a basic structure for unravelling the social complexity and helped guide the interview questions to identify the generative mechanisms hidden in the real domain, and to highlight the conditions that encourage individual and collective acceptance of EA practices. The reflexivity indicator developed by Archer –ICONI– is used throughout to explain how personal projects are formed and how they mediate the exercise of structural/cultural constraints and enablement within EA implementation. Passive participation in regular EA implementation meetings at UX was also important and useful to unearth possible perceived causal possibilities emanating from within the program itself and evident within the social context of implementation. Underpinned by a critical realist perspective, the thesis demonstrates that the MA is a powerful analytical tool to uncover the hidden mechanisms (the situational logics of structures and cultures) and social responses that enable success of EA implementation. The research examines the particular situational logics evident within the University under study and how these provide opportunities and constraints to the acceptance of EA over time. Equally important was reflexivity theory in attaining knowledge and understanding about what it is about people’s internal relations that makes EA implementation succeed. This thesis offers organisations a means to focus on the deeper issues of EA implementation programs by understanding the social complexity surrounding the architecture. The recognition of people as a key element in EA implementation provides a useful explanation of how the key stakeholders (and their power, influence and interests) may constrain and enable EA implementation. By including reflexivity as an important mechanism, organisations will be in a better position to understand the role of people and their interactions with preexisting structures and cultures operating over different time periods – reflexivity suggesting that “people” always have the possibility to do otherwise than expected, largely dependent on their personal history and their current personal projects and ultimate concerns

The Linkage to Business Goals in Data Science Projects

Modern data analytics equips businesses to make data-driven decisions by revealing patterns and insights that enhance strategic planning, operational efficiency, and process optimization. Its applications encompass personalized marketing through customer segmentation, predictive modelling for fraud detection, and enhancing security. A significant methodology in this realm is the Cross-Industry Standard Process for Data Mining (CRISP-DM), where the Business Understanding phase aims to ensure data science projects align with overarching business goals. However, challenges arise when these business objectives are ambiguous, ill-defined, or evolving. The complexity of data analytics projects underscores the need for domain expertise and robust collaboration between data scientists, business stakeholders, and domain experts. The imperative is to bridge the technical and business perspectives, manage expectations, and define project scopes. The short paper at hand addresses the question how data analytic goals can systematically align with business objectives in data science projects. By incorporating methods from Enterprise Architecture Management, we propose a structured approach for goal determination in data science projects, ensuring business and data mining objectives are seamlessly integrated

Controlled vocabularies in bioinformatics: A case study in the Gene Ontology

The automatic integration of information resources in the life sciences is one of the most challenging goals facing biomedical informatics today. Controlled vocabularies have played an important role in realizing this goal, by making it possible to draw together information from heterogeneous sources secure in the knowledge that the same terms will also represent the same entities on all occasions of use. One of the most impressive achievements in this regard is the Gene Ontology (GO), which is rapidly acquiring the status of a de facto standard in the field of gene and gene product annotations, and whose methodology has been much intimated in attempts to develop controlled vocabularies for shared use in different domains of biology. The GO Consortium has recognized, however, that its controlled vocabulary as currently constituted is marked by several problematic features - features which are characteristic of much recent work in bioinformatics and which are destined to raise increasingly serious obstacles to the automatic integration of biomedical information in the future. Here, we survey some of these problematic features, focusing especially on issues of compositionality and syntactic regimentation

Situational Enterprise Services

The ability to rapidly find potential business partners as well as rapidly set up a collaborative business process is desirable in the face of market turbulence. Collaborative business processes are increasingly dependent on the integration of business information systems. Traditional linking of business processes has a large ad hoc character. Implementing situational enterprise services in an appropriate way will deliver the business more flexibility, adaptability and agility. Service-oriented architectures (SOA) are rapidly becoming the dominant computing paradigm. It is now being embraced by organizations everywhere as the key to business agility. Web 2.0 technologies such as AJAX on the other hand provide good user interactions for successful service discovery, selection, adaptation, invocation and service construction. They also balance automatic integration of services and human interactions, disconnecting content from presentation in the delivery of the service. Another Web technology, such as semantic Web, makes automatic service discovery, mediation and composition possible. Integrating SOA, Web 2.0 Technologies and Semantic Web into a service-oriented virtual enterprise connects business processes in a much more horizontal fashion. To be able run these services consistently across the enterprise, an enterprise infrastructure that provides enterprise architecture and security foundation is necessary. The world is constantly changing. So does the business environment. An agile enterprise needs to be able to quickly and cost-effectively change how it does business and who it does business with. Knowing, adapting to diffident situations is an important aspect of today’s business environment. The changes in an operating environment can happen implicitly and explicitly. The changes can be caused by different factors in the application domain. Changes can also happen for the purpose of organizing information in a better way. Changes can be further made according to the users' needs such as incorporating additional functionalities. Handling and managing diffident situations of service-oriented enterprises are important aspects of business environment. In the chapter, we will investigate how to apply new Web technologies to develop, deploy and executing enterprise services

Collaborative Knowledge Framework for Mediation Information System Engineering

With the worldwide interenterprise collaboration and interoperability background, automatic collaborative business process deduction is crucial and imperative researching subject. A methodology of deducing collaborative process is designed by collecting collaborative knowledge. Due to the complexity of deduction methodology, a collaborative knowledge framework is defined to organize abstract and concrete collaborative information. The collaborative knowledge framework contains three dimensions: elements, levels, and life cycle. To better define the framework, the relations in each dimension are explained in detail. They are (i) relations among elements, which organize the gathering orders and methods of different collaborative elements, (ii) relations among life cycle, which present modeling processes and agility management, and (iii) relations among levels, which define relationships among different levels of collaborative processes: strategy, operation, and support. This paper aims to explain the collaborative knowledge framework and the relations inside

Semantic Model Alignment for Business Process Integration

Business process models describe an enterprise’s way of conducting business and in this form the basis for shaping the organization and engineering the appropriate supporting or even enabling IT. Thereby, a major task in working with models is their analysis and comparison for the purpose of aligning them. As models can differ semantically not only concerning the modeling languages used, but even more so in the way in which the natural language for labeling the model elements has been applied, the correct identification of the intended meaning of a legacy model is a non-trivial task that thus far has only been solved by humans. In particular at the time of reorganizations, the set-up of B2B-collaborations or mergers and acquisitions the semantic analysis of models of different origin that need to be consolidated is a manual effort that is not only tedious and error-prone but also time consuming and costly and often even repetitive. For facilitating automation of this task by means of IT, in this thesis the new method of Semantic Model Alignment is presented. Its application enables to extract and formalize the semantics of models for relating them based on the modeling language used and determining similarities based on the natural language used in model element labels. The resulting alignment supports model-based semantic business process integration. The research conducted is based on a design-science oriented approach and the method developed has been created together with all its enabling artifacts. These results have been published as the research progressed and are presented here in this thesis based on a selection of peer reviewed publications comprehensively describing the various aspects

Methodological concepts for integrated assessment of agricultural and environmental policies in SEAMLESS-IF

Agricultural and Food Policy, Environmental Economics and Policy, Farm Management, Land Economics/Use,

The RQ-Tech Methodology: A New Paradigm for Conceptualizing Strategic Enterprise Architectures

The purpose of this research is to develop and apply a system-theoretic based methodology and corresponding model for Enterprise Architecture development. Enterprise Architectures can assist managers by illustrating the systemic relationships within an organization and the impact changes to the organization could make. Unfortunately, today\u27s modeling practices are proprietary, time-consuming, and generally ineffective as tools for understanding the consequences of strategic-level planning decisions across all levels of the enterprise. This research supports the conclusion that system-specific solutions produce islands of technology and can be prevented by employing better enterprise change planning. This research combined the practice of Enterprise Architectures with a modern perspective grounded in Systems Theory and the theory regarding the computer science-oriented Semantic Web to present a distinctive methodology for developing models. A review of literature in all three areas provided an illustration of the overlap common to all three domains. It provided support for critical thinking concerning how to enrich the Enterprise Architecture practice. This research was conducted to answer to two primary questions. The first research question investigated the most significant factors to consider when translating authoritative text and rich pictures into semantic models. The second research question qualitatively measured the extent to which models aligned to important organizational guidance are useful for representing the organization as a whole. Reusable Quality Technical Architectures (RQ-Tech) is the methodology developed from this research. It demonstrates that a complex system of systems organization that must creatively respond to a variety of events can be holistically represented using a dynamic model. RQ-Tech techniques provide ways to map and link the multitudes of scope-level authoritative business documents so that together they can effectively represent the nature and essence of the organization as one organic structure. The marriage of authorized enterprise documentation and the Semantic Web produces a model of the holistic enterprise. This model had previously only been experienced at a tacit level by those exceptionally well-trained in the depth and breadth of organizational culture, supporting laws, policies and related publications. This research effort provides the vision that encourages a paradigm shift away from the mechanistic approach toward organizational change to analogy of a socially connected, interdependent enterprise. New horizons for using the common language of the Semantic Web to capture an understanding of the many interactive systems of the enterprise are substantiated. The research concludes with identification of future research themes prompted by this investigation