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Rittgen, Peter
Publications (10 of 40) Show all publications
Cronholm, S., Göbel, H. & Rittgen, P. (2017). Challenges Concerning Data-Driven Innovation. In: : . Paper presented at The 28th Australasian Conference on Information Systems, Hobart Australia, December 4-6, 2017.. .
Open this publication in new window or tab >>Challenges Concerning Data-Driven Innovation
2017 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Digital transformation is highly relevant to most organisations in the business and the government sectors. One important aspect of digital transformation is the capability to exploit data in order to develop new services. For a number of businesses, this capability has become an imperative to their survival in an ever more competitive market. Today, data exploitation is of vital importance for innovation and economic growth. However, there is a lack of consolidated knowledge about the challenges of managing processes for data-driven innovation. Therefore, the purpose of this study is to elaborate on challenges concerning data-driven innovation. We have used the Grounded Theory approach to identify such challenges which are: lack of a systematic process, problems with data access, distrust of data, lack of appropriate digital tools and insufficient competence. Our conclusions reveal that data is rarely used as a strategic resource in data-driven innovation and that there is a lack of data management.

Keyword
Data-driven innovation, service innovation, data exploitation, IT service management, data utilisation.
National Category
Information Systems
Research subject
Business and IT
Identifiers
urn:nbn:se:hb:diva-13292 (URN)
Conference
The 28th Australasian Conference on Information Systems, Hobart Australia, December 4-6, 2017.
Projects
Data-Driven Innovation
Funder
Knowledge Foundation
Available from: 2018-01-01 Created: 2018-01-01 Last updated: 2018-01-13Bibliographically approved
Heath, J. & Rittgen, P. (2013). Co-designing an Information System with Internationally Distributed Teams. In: : . Paper presented at 11th Hawaii International Conference on Education (HICE), Honolulu, Hawaii, USA, January 6-9, 2013. Hawaii International Conference on Education, P.O. Box 75036, Honolulu HI, 96836, USA.
Open this publication in new window or tab >>Co-designing an Information System with Internationally Distributed Teams
2013 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Distance Education can have students in a course that are geographically and culturally distributed. This is also an issue resulting from common industrial practice of the use of outsourcing and corporations that are international in nature.

Place, publisher, year, edition, pages
Hawaii International Conference on Education, P.O. Box 75036, Honolulu HI, 96836, USA, 2013
Keyword
cultural dimensions, teamwork organization, co-design, media richness
National Category
Information Systems Didactics
Research subject
Library and Information Science; Bussiness and IT
Identifiers
urn:nbn:se:hb:diva-7022 (URN)2320/12695 (Local ID)2320/12695 (Archive number)2320/12695 (OAI)
Conference
11th Hawaii International Conference on Education (HICE), Honolulu, Hawaii, USA, January 6-9, 2013
Available from: 2015-12-22 Created: 2015-12-22 Last updated: 2018-01-10Bibliographically approved
Rittgen, P. (2013). Group Consensus in Business Process Modeling: A Measure and Its Application. International Journal of e-collaboration, 9(4), 17-31.
Open this publication in new window or tab >>Group Consensus in Business Process Modeling: A Measure and Its Application
2013 (English)In: International Journal of e-collaboration, ISSN 1548-3673, E-ISSN 1548-3681, Vol. 9, no 4, p. 17-31Article in journal (Refereed) Published
Abstract [en]

Consensus is an important measure for the success of any business process modeling effort. Although intensively studied in the general literature on group processes, consensus has hardly been considered in business process modeling and never seriously measured. The author defines consensus as the level of agreement of group members' views on the process and introduce business process similarity as a proxy. The author validates the measure by comparing it to an existing self-reported measure of consensus. The author then uses this measure to inform and guide the process of modeling.

Place, publisher, year, edition, pages
I G I Global, 2013
National Category
Information Systems
Research subject
Bussiness and IT
Identifiers
urn:nbn:se:hb:diva-1700 (URN)10.4018/ijec.2013100102 (DOI)2320/13100 (Local ID)2320/13100 (Archive number)2320/13100 (OAI)
Available from: 2015-11-13 Created: 2015-11-13 Last updated: 2018-01-10Bibliographically approved
Rittgen, P. (2012). End-User Involvement and Team Factors in Business Process Modeling. In: Proceedings of the 45th Hawaii International Conference on System Sciences: . Paper presented at 45th Hawaii International Conference on System Sciences (pp. 180-189). IEEE.
Open this publication in new window or tab >>End-User Involvement and Team Factors in Business Process Modeling
2012 (English)In: Proceedings of the 45th Hawaii International Conference on System Sciences, IEEE , 2012, p. 180-189Conference paper, Published paper (Refereed)
Abstract [en]

We study the impact of end-user involvement and team factors on model quality and consensus. By end-user involvement we mean the degree to which participants of a modeling session are involved in the active creation of models, i.e. the drawing of the diagram. We find that higher end-user involvement, facilitated by tool support, increases model quality. Complementary teams achieve better consensus than matched teams.

Place, publisher, year, edition, pages
IEEE, 2012
Keyword
Informatik
National Category
Computer and Information Sciences
Research subject
Business and IT
Identifiers
urn:nbn:se:hb:diva-6873 (URN)10.1109/HICSS.2012.246 (DOI)2320/11659 (Local ID)978-1-4577-1925-7 (ISBN)2320/11659 (Archive number)2320/11659 (OAI)
Conference
45th Hawaii International Conference on System Sciences
Available from: 2015-12-22 Created: 2015-12-22 Last updated: 2018-01-10Bibliographically approved
Rittgen, P. (2012). Introduction. International Journal of Organisational Design and Engineering (IJODE), 2(1), 1-18.
Open this publication in new window or tab >>Introduction
2012 (English)In: International Journal of Organisational Design and Engineering (IJODE), ISSN 1758-9797, E-ISSN 1758-9800, Vol. 2, no 1, p. 1-18Article in journal (Refereed) Published
Abstract [en]

This paper gives an overview of the recent field of collaborative modelling. We first address the dimensions of group productivity, model quality and consensus. We then explore the factors on individual and team level that have significant impact on group productivity. We continue with an overview of the most relevant streams of collaborative modelling research, and conclude with a short outline of the papers in this special issue.

Place, publisher, year, edition, pages
Inderscience Publishers, 2012
Keyword
Informatik, collaborative modelling, participative modelling, group modelling, individual factors, team factors, group productivity, model quality, consensus
National Category
Computer and Information Sciences
Research subject
Bussiness and IT
Identifiers
urn:nbn:se:hb:diva-1392 (URN)10.1504/IJODE.2012.045908 (DOI)2320/11654 (Local ID)2320/11654 (Archive number)2320/11654 (OAI)
Available from: 2015-11-13 Created: 2015-11-13 Last updated: 2018-01-10Bibliographically approved
Rittgen, P. (2012). The Role of Editor in Collaborative Modeling. In: Proceedings of the 27th Annual ACM Symposium on Applied Computing: . Paper presented at The 27th Annual ACM Symposium on Applied Computing (pp. 1674-1679). ACM.
Open this publication in new window or tab >>The Role of Editor in Collaborative Modeling
2012 (English)In: Proceedings of the 27th Annual ACM Symposium on Applied Computing, ACM , 2012, p. 1674-1679Conference paper, Published paper (Refereed)
Abstract [en]

In business processes, modeling is usually a collaborative activity. In it stakeholders analyze or design business processes. One of the challenges is that group members have diverse backgrounds and conflicting interests which make it difficult to arrive at a model that represents a consensus. It is therefore important to study the way in which modeling teams are organized to overcome these problems. To approach this issue we investigated the modeling behavior of such groups with the help of a tool that supports collaborative modeling while at the same time allowing for the effective collection of data on modeling activities. Besides confirming known roles we also discovered a new one, editor, that only emerges in tool-supported sessions and that functions as a mediator between modeling experts and domain experts.

Place, publisher, year, edition, pages
ACM, 2012
Keyword
Informatik
National Category
Computer and Information Sciences
Research subject
Business and IT
Identifiers
urn:nbn:se:hb:diva-6874 (URN)10.1145/2245276.2232046 (DOI)2320/11660 (Local ID)978-1-4503-0857-1 (ISBN)2320/11660 (Archive number)2320/11660 (OAI)
Conference
The 27th Annual ACM Symposium on Applied Computing
Available from: 2015-12-22 Created: 2015-12-22 Last updated: 2018-01-10Bibliographically approved
Rittgen, P. (2011). Business Process Model Similarity as a Proxy for Group Consensus. Paper presented at Practice of Enterprise Modeling (PoEM) 2011. Paper presented at Practice of Enterprise Modeling (PoEM) 2011. Springer.
Open this publication in new window or tab >>Business Process Model Similarity as a Proxy for Group Consensus
2011 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Consensus is an important measure for the success of any business process modeling effort. Although intensively studied in the general literature on group processes, consensus has hardly been considered in business process modeling and never seriously measured. We define consensus as the level of agreement of group members’ views on the process and introduce business process similarity as a proxy. We validate the measure by comparing it to an existing self-reported measure of consensus.

Place, publisher, year, edition, pages
Springer, 2011
Series
Lecture Notes in Business Information Processing
Keyword
business process modeling, group consensus, informatik
National Category
Information Systems
Research subject
Bussiness and IT
Identifiers
urn:nbn:se:hb:diva-6633 (URN)2320/9424 (Local ID)978-3-642-24848-1 (ISBN)2320/9424 (Archive number)2320/9424 (OAI)
Conference
Practice of Enterprise Modeling (PoEM) 2011
Available from: 2015-12-22 Created: 2015-12-22 Last updated: 2018-01-10
Rittgen, P. (2011). Collaborative Design of Business and Information Systems. In: Ned Kock (Ed.), E-Collaboration Technologies and Organizational Performance: Current and Future Trends: (pp. 255-270). IRMA International.
Open this publication in new window or tab >>Collaborative Design of Business and Information Systems
2011 (English)In: E-Collaboration Technologies and Organizational Performance: Current and Future Trends / [ed] Ned Kock, IRMA International , 2011, p. 255-270Chapter in book (Refereed)
Abstract [en]

The collaborative design of business and information systems touches a number of issues that lie within the realm of different research areas. It deals with design as such and in particular with design in and for groups. It is also concerned with socio-technical systems and hence with human-computer interaction as well as IT-mediated human-human interaction. This introduces collaboration issues. The significant complexity of the business and information systems that are in the focus of the design endeavor calls for modeling as an instrument for managing this complexity. This paper maps the terrain of collabora- tive design of business and information systems by surveying the contributions that are made by related areas of research.

Place, publisher, year, edition, pages
IRMA International, 2011
National Category
Computer and Information Sciences
Research subject
Bussiness and IT
Identifiers
urn:nbn:se:hb:diva-5031 (URN)10.4018/978-1-60960-466-0.ch015 (DOI)2320/9421 (Local ID)1609604660 (ISBN)2320/9421 (Archive number)2320/9421 (OAI)
Available from: 2015-12-17 Created: 2015-12-17 Last updated: 2018-01-10
Rittgen, P. (2011). Goal Commitment and Competition as Drivers for Group Productivity in Business Process Modeling. In: Peter Seddon, Shirley Gregor (Ed.), PACIS 2011 Proceedings, Paper 159: . Paper presented at Pacific Asia Conference on Information Systems (PACIS), Brisbane, 7 July - 11 July 2011.. , 159.
Open this publication in new window or tab >>Goal Commitment and Competition as Drivers for Group Productivity in Business Process Modeling
2011 (English)In: PACIS 2011 Proceedings, Paper 159 / [ed] Peter Seddon, Shirley Gregor, 2011, Vol. 159Conference paper, Published paper (Refereed)
Abstract [en]

Many studies have looked at the factors that control the productivity of collaborative work. We claim that goal commitment and competition have a strong impact on group productivity in collaborative modelling. To substantiate this claim we first take a look at existing factor models to identify the factors that potentially mediate the effect on group productivity. We then investigate the relation between the factors with the help of controlled field experiments in five different organisations. We confirm the theoretical results with the help of structured equation modelling.

Keyword
business process modelling, goal commitment, participation, competition, motivation
National Category
Computer and Information Sciences
Research subject
Business and IT
Identifiers
urn:nbn:se:hb:diva-6632 (URN)2320/9423 (Local ID)978-1-86435-644-1 (ISBN)2320/9423 (Archive number)2320/9423 (OAI)
Conference
Pacific Asia Conference on Information Systems (PACIS), Brisbane, 7 July - 11 July 2011.
Available from: 2015-12-22 Created: 2015-12-22 Last updated: 2018-01-10Bibliographically approved
Rittgen, P. (2011). Goal Commitment and Competition as Drivers for Productivity in Business Process Modeling. In: : . Springer.
Open this publication in new window or tab >>Goal Commitment and Competition as Drivers for Productivity in Business Process Modeling
2011 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Many studies have looked at the factors that control the productivity of collaborative work. We claim that goal commitment and competition have a strong impact on group productivity in collaborative modelling. To substantiate this claim we first take a look at existing factor models to identify the factors that potentially mediate the effect on group productivity. We then investigate the relation between the factors with the help of controlled field experiments in five different organisations. We confirm the theoretical results with the help of structured equation modelling.

Place, publisher, year, edition, pages
Springer, 2011
Series
Theory-Guided Modeling and Empiricism in Information Systems Research ; 37
National Category
Computer and Information Sciences
Research subject
Business and IT
Identifiers
urn:nbn:se:hb:diva-6634 (URN)2320/9425 (Local ID)978-3-7908-2780-4 (ISBN)2320/9425 (Archive number)2320/9425 (OAI)
Available from: 2015-12-22 Created: 2015-12-22 Last updated: 2018-01-10
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