Discussion on the Article “On Ontological Foundations of Conceptual Modelling” by Boris Wyssusek

In this debate paper we follow up on the argumentation given by Boris Wyssusek, who criticizes the use of the BWW-ontology as a foundation of conceptual modelling. In addition, we mention some other possible foundations for conceptual modelling. We have over many years looked at the area of semiotics, given our social constructivistic view of modelling, and we give a brief overview of how semiotics relates to the ontological approach. Finally, we describe some of our practical experiences with the semiotic approach for evaluating modelling languages in an industrial setting

Navigating MazeMap: indoor human mobility, spatio-logical ties and future potential

Global navigation systems and location-based services have found their way into our daily lives. Recently, indoor positioning techniques have also been proposed, and there are several live or trial systems already operating. In this paper, we present insights from MazeMap, the first live indoor/outdoor positioning and navigation system deployed at a large university campus in Norway. Our main contribution is a measurement case study; we show the spatial and temporal distribution of MazeMap geo-location and wayfinding requests, construct the aggregated human mobility map of the campus and find strong logical ties between different locations. On one hand, our findings are specific to the venue; on the other hand, the nature of available data and insights coupled with our discussion on potential usage scenarios for indoor positioning and location-based services predict a successful future for these systems and applications.Comment: 6 pages, accepted at PerMoby Workshop at IEEE PerCom 201

Differences in Information Systems Development and Evolution Practice between the Local and Governmental Public Sector

We have in earlier work reported differences between how public and private Norwegian organizations are able to use time on value adding activities in their work on IT. Using responses to the ‘IT i Praksis’ – surveys done by Rambøll in 2021, we in this paper look upon differ-ences between local (municipalities) and governmental agencies. ‘IT i praksis’ is distributed to Norwegian public organizations, and the overall response rate is around 45-50%, although not all respondents answer all questions. The data presented in this paper is based on re-sponses from 255 public organizations, with 176 municipalities, and 79 public organizations on national or regional level that have re-sponded. Overall, the investigation confirms the results from earlier investigations when it comes to maturity of practice in public sector and how this might influence their ability to have time available for value added IT-activities. In this investigation we also find differ-ences within public sector, with municipalities scoring worse on sev-eral parameters for successful management and evolution of IT

CAiSE Radar 2016

The CAiSE Radar is an experimental format, established for CAiSE 2016, to make CAiSE workshops livelier, exciting, stimulate discussions, and attract additional active participants by establishing an environment where not only well established and validated research is reported but research in infancy, new ideas, and potentially interesting research projects can be presented and discussed. So similarly to a radar, the idea is to enable researchers to look into the future of the field and identify upcoming trends early. The aim of such effort is on one hand to contribute to the building of research communities and promote the integration of young researchers into the community, and on the other hand to provide opportunities to discuss ideas early and to receive additional opinions on planned research

CAiSE Radar 2016

The CAiSE Radar is an experimental format, established for CAiSE 2016, to make CAiSE workshops livelier, exciting, stimulate discussions, and attract additional active participants by establishing an environment where not only well established and validated research is reported but research in infancy, new ideas, and potentially interesting research projects can be presented and discussed. So similarly to a radar, the idea is to enable researchers to look into the future of the field and identify upcoming trends early. The aim of such effort is on one hand to contribute to the building of research communities and promote the integration of young researchers into the community, and on the other hand to provide opportunities to discuss ideas early and to receive additional opinions on planned research

Work distribution, methodology and technology for ISD and maintenance : Trends over the last 30 years

The information systems we see around us today are at first sight very different from those that were developed 30 years ago. On the other hand, it seems that we are still struggling with many of the same problems, such as late projects and unfilled customer demands. In this article we present selected data from survey investigations performed by us in 1993, 1998, and 2003 among Norwegian organisations on how they conduct information systems development and maintenance. The investigations looks on many of the same areas as earlier investigations e.g. by Lientz and Swanson in the late 1970’, thus we are able to report on some tendencies of the development in the last 30 years. A major finding is that even if we witness large changes in the implementation technology and methods used, a number of aspects such as overall percentage of time used for maintaining and evolving systems in production compared to time used for development is remarkably stable. The same can be said about the rate of replacement, around 50% of ‘new’ systems to be developed are replacement systems. On the other hand, since we have more complex infrastructures supporting the information systems, more and more of the resources are used for other tasks such as operations and usersupport. Less and less time is available for providing new information systems support in organisationThe past and the future of information systems: 1976-2006 and beyondRed de Universidades con Carreras en Informática (RedUNCI

COMPLEMENTARITIES BETWEEN INFORMATION GOVERNANCE AND BIG DATA ANALYTICS CAPABILITIES ON INNOVATION

Big data has seen an explosion in interest from private and public organizations over the last few years. Researchers and practitioners have delved into examining the shifts that these technologies en-tail and their overall business value. In this study we draw on the resource-based view and on recent literature on big data analytics, and address the interplay between BDACs and information governance in shaping innovative capabilities. We theoretically develop the idea that BDAC’s help enhance inno-vative capabilities, and that information governance strengthens this relationship. To test our proposed research model, we used survey data from 175 chief information officers and IT managers. By employ-ing partial least squares structural equation modelling (PLS-SEM), results confirm our assumptions regarding the positive effect that BDACs have on both incremental and radical innovative capability. We also show that the value of BDAC’s on radical innovative capability is amplified in the presence of strong information governance, which also has a direct impact of BDAC’s. Finally, implications for research and practice are discussed

From Big Data Analytics to Dynamic Capabilities: The Effect of Organizational Inertia

While big data analytics have been credited with being a revolution that will transform the way firms do business, there is still limited knowledge on how they should adopt and diffuse these technologies to support their strategies. The purpose of this paper is to understand how different inertial forces related to deployments of big data analytics inhibit the formation of dynamic capabilities and subsequently performance. We draw on a multiple case study approach of 27 firms to examine the different forms of inertia that characterize big data analytics implementation. This study provides empirical evidence that contributes to the scarce research on deployment of big data analytics to enable dynamic capabilities. Disaggregating dynamic capabilities into the sensing, seizing, and transforming, we find that different forms of inertia including economic, political, socio-cognitive, negative psychology, and socio-technical affect the formation of each type of underlying capability