A conceptual model of service exchange in service-dominant logic

The service system is the basic abstraction of Service Science. This paper proposes the Resource-Service-System model as a conceptual model of service systems interacting in service exchanges, assuming a service-dominant logic economic worldview. The paper explains how the model was developed starting from the Resource-Event-Agent business model ontology, taking into account insights gained from studying Service Science literature and existing service ontologies. The paper also explains how different model views can contribute to study various aspects of service systems and exchanges

How do we acquire understanding of conceptual models?

In organizations, conceptual models are used for understanding the domain concepts. Such models are crucial in analysis and development of information systems. An important factor of using the conceptual models is how quickly analysts are able to learn the domain concepts as depicted in the models. Using a laboratory experiment, this research used eye tracking technique to capture the speed of acquisition of understanding conceptual models. Two sets of conceptual models were used in this study- one theory based (REA pattern) and the other non-theory based (non REA pattern). It was found that the rate of learning of the domain concepts was faster with theory based models than with non-theory based models. However, users of the non-theory based model were able to catch up with the learning of the model concepts after being repeatedly exposed to the model

Towards a process model for service systems

Service Science is a new interdisciplinary approach to the study, design, implementation. and innovation of service systems. However due to the variety in service research, there is no consensus yet about the theoretical foundation of this domain. As a basis for a common understanding of service systems and their interactions, Service Science researchers Spohrer and Kwan proposed the service systems worldview. The ISPAR model was presented as a part of this service systems worldview as a tool for identifying ten possible interaction episodes, i.e., the sequences of activities that are undertaken by two interacting service system entities. In this paper we evaluate the use of the ISPAR model as a process model for service systems. We identify the shortcomings of the ISPAR model and propose possible improvements. This analysis leads to the development of a new service process model which is demonstrated through tree different examples

Towards the Design of a Business Architecture Simulation Technique

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Complexity measures for object-oriented conceptual models of an application domain.

According to Norman Fenton few work has been done on measuring the complexity of the problems underlying software development. Nonetheless, it is believed that this attribute has a significant impact on software quality and development effort. A substantial portion of the underlying problems are captured in the conceptual model of the application domain. Based on previous work on conceptual modelling of aplication domains, the attribute 'complexity of a conceptual model' is formally defined in this papaer using elementary concepts from Measure Theory. Moreover, a number of complexity measures are defined and validated against this complexity definition. It is argued and demonstrated that these problem domain measures are part of a solution to the problem outlined by Norman Fenton.Model; Models;

DISTANCE: a framework for software measure construction.

In this paper we present a framework for software measurement that is specifically suited to satisfy the measurement needs of empirical software engineering research. The framework offers an approach to measurement that builds upon the easily imagined, detected and visualised concepts of similarity and dissimilarity between software entities. These concepts are used both to model the software attributes of interest and to define the corresponding software measures. Central to the framework is a process model that embeds constructive procedures for attribute modelling and measure construction into a goal-oriented approach to empirical software engineering studies. The underlying measurement theoretic principles of our approach ensure the construct validity of the resulting measures. The approach was tested on a popular suite of object-oriented design measures. We further show that our measure construction method compares favourably to related work.Software;