Pub Date : 2023-12-30DOI: 10.7250/csimq.2023-37.01
M. Triller, Dennis Vogel, Michael Fellmann
Innovation management is an essential prerequisite for the effective and efficient generation, planning, and implementation of ideas and thus for the further development of companies in a dynamic market and competitive environment. In order to investigate the internal innovation potential of production and service companies, this article examines basic success factors and challenges of innovation management in German small and medium-sized enterprises (SMEs) with a view to the sector to which they belong. On the basis of a questionnaire and interviews with experts, companies were considered with regard to their assessment of their innovative capacity. Based on an analysis of data from 30 participants, we show that the innovation capacity of SMEs with regard to success factors and challenges in production companies differs significantly from that of service companies. We also find that there is a discrepancy in the assessment of the potential for improvement of success factors and challenges. Our study shows that in the field of German SMEs, there is no “best way” to increase innovative capacity, but that it depends on a combination of different factors.
{"title":"What Drives Innovation Activities in German SMEs in the Service and Production Sector? An Integration of Theoretical and Empirical Findings","authors":"M. Triller, Dennis Vogel, Michael Fellmann","doi":"10.7250/csimq.2023-37.01","DOIUrl":"https://doi.org/10.7250/csimq.2023-37.01","url":null,"abstract":"Innovation management is an essential prerequisite for the effective and efficient generation, planning, and implementation of ideas and thus for the further development of companies in a dynamic market and competitive environment. In order to investigate the internal innovation potential of production and service companies, this article examines basic success factors and challenges of innovation management in German small and medium-sized enterprises (SMEs) with a view to the sector to which they belong. On the basis of a questionnaire and interviews with experts, companies were considered with regard to their assessment of their innovative capacity. Based on an analysis of data from 30 participants, we show that the innovation capacity of SMEs with regard to success factors and challenges in production companies differs significantly from that of service companies. We also find that there is a discrepancy in the assessment of the potential for improvement of success factors and challenges. Our study shows that in the field of German SMEs, there is no “best way” to increase innovative capacity, but that it depends on a combination of different factors.","PeriodicalId":404415,"journal":{"name":"Complex Systems Informatics and Modeling Quarterly","volume":" 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139140556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-30DOI: 10.7250/csimq.2023-37.00
Emanuele Laurenzi
{"title":"Information Systems for Useful Innovation in Enterprises. Editorial Introduction to Issue 37 of CSIMQ","authors":"Emanuele Laurenzi","doi":"10.7250/csimq.2023-37.00","DOIUrl":"https://doi.org/10.7250/csimq.2023-37.00","url":null,"abstract":"","PeriodicalId":404415,"journal":{"name":"Complex Systems Informatics and Modeling Quarterly","volume":" 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139140907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-30DOI: 10.7250/csimq.2023-37.02
Gianni Pasqual, Jürgen Jung, Bardo Fraunholz
Conducting a digital transformation is one of the major challenges for today’s companies as it is usually associated with a high risk. The reasons for this are manifold. Technologies are still evolving and there is no coherent standard for digital platforms enabling digitalization. Furthermore, it is not only about introducing new technology but also requires a fundamental change in an organization and its culture. Consequently, planning a digital transformation project (or program) requires a careful analysis of the company’s current situation and the envisioned objectives. This article investigates critical success factors for preparing and executing such a transformation. The success factors are identified by conducting a structured literature analysis. 13 scientific papers are identified and then analyzed quantitatively and qualitatively. The quantitative analysis is conducted by using force-directed network graphs. Both methods are then compared and discussed. The result shows that most critical success factors are related to the business change rather than to introducing technology. Leadership, strategy, vision, corporate culture, and customer centricity play a stronger role than a digital platform.
{"title":"Determining Critical Success Factors of the Digital Transformation Using a Force-Directed Network Graph","authors":"Gianni Pasqual, Jürgen Jung, Bardo Fraunholz","doi":"10.7250/csimq.2023-37.02","DOIUrl":"https://doi.org/10.7250/csimq.2023-37.02","url":null,"abstract":"Conducting a digital transformation is one of the major challenges for today’s companies as it is usually associated with a high risk. The reasons for this are manifold. Technologies are still evolving and there is no coherent standard for digital platforms enabling digitalization. Furthermore, it is not only about introducing new technology but also requires a fundamental change in an organization and its culture. Consequently, planning a digital transformation project (or program) requires a careful analysis of the company’s current situation and the envisioned objectives. This article investigates critical success factors for preparing and executing such a transformation. The success factors are identified by conducting a structured literature analysis. 13 scientific papers are identified and then analyzed quantitatively and qualitatively. The quantitative analysis is conducted by using force-directed network graphs. Both methods are then compared and discussed. The result shows that most critical success factors are related to the business change rather than to introducing technology. Leadership, strategy, vision, corporate culture, and customer centricity play a stronger role than a digital platform.","PeriodicalId":404415,"journal":{"name":"Complex Systems Informatics and Modeling Quarterly","volume":" 41","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139141593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-30DOI: 10.7250/csimq.2023-37.03
F. Moses, Kurt Sandkuhl
The increasing digitalization of enterprises and public authorities has resulted in the growing importance of information technology in everyday operations. In this context, an information security management system (ISMS) has become an essential aspect for most organizations. The dependency on technology for almost every single process in an organization has put ISMS at the top of the corporate agenda of public sector organizations. For public organizations in particular, the NIS 2 Directive describes abstract requirements for the development of an ISMS. On the other hand, only a few public administrations operate an ISMS. In this context, this article analyses the requirements of the NIS-2 Directive and complements them with the obstacles and reasons for success in the introduction of ISMS in small public sector organizations (SPSO). At the same time, minimum requirements should be defined that help municipal administration set up an ISMS quickly and easily. This article summarizes the different requirements and generates a foundation for a rough procedural model, for implementing the upcoming requirements of the NIS 2 Directive in local governments. The article also presents the conceptual design of the procedural model.
{"title":"Information Security Management in Small Public Sector Organizations: Requirements and Design of a Procedural Approach","authors":"F. Moses, Kurt Sandkuhl","doi":"10.7250/csimq.2023-37.03","DOIUrl":"https://doi.org/10.7250/csimq.2023-37.03","url":null,"abstract":"The increasing digitalization of enterprises and public authorities has resulted in the growing importance of information technology in everyday operations. In this context, an information security management system (ISMS) has become an essential aspect for most organizations. The dependency on technology for almost every single process in an organization has put ISMS at the top of the corporate agenda of public sector organizations. For public organizations in particular, the NIS 2 Directive describes abstract requirements for the development of an ISMS. On the other hand, only a few public administrations operate an ISMS. In this context, this article analyses the requirements of the NIS-2 Directive and complements them with the obstacles and reasons for success in the introduction of ISMS in small public sector organizations (SPSO). At the same time, minimum requirements should be defined that help municipal administration set up an ISMS quickly and easily. This article summarizes the different requirements and generates a foundation for a rough procedural model, for implementing the upcoming requirements of the NIS 2 Directive in local governments. The article also presents the conceptual design of the procedural model.","PeriodicalId":404415,"journal":{"name":"Complex Systems Informatics and Modeling Quarterly","volume":" 40","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139141944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-30DOI: 10.7250/csimq.2023-37.04
I. Bider
A situation where both observing and observed activities need to be taken into consideration is not uncommon in practice. In Viable System Model (VSM), System 3* is dedicated to making sudden inspections on how the work is done “on the floor”. A typical case in research is an empirical study, where research activities are aimed at understanding the activities of the object under investigation. Though separate models of the observation activity and the observed activity are often presented, having an integrated model that connects both often falls under the radar. This article investi-gates how the latter model can be built and used in empirical research pro-jects in the Information System (IS) discipline. Articles in the IS field pre-senting research projects that use data from practice, as a rule, describe the practice and research process, including which research methods have been used for obtaining and analyzing the data. Some articles present models of practice under investigation using appropriate modeling notations. Some ar-ticles present a research process in some graphical form. However, to the best of our knowledge, there is no established practice of presenting a model that interconnects practical and research activities. This article tries to fill the gap, and it presents some ideas on how to build a model that inte-grates observing and observed activities. Such a model can be used for planning a research project and to better understand the limitations of the approaches used or to be used in the project.
{"title":"Integrating Models of Observing and Observed Activities Based on an Example of Empirical Research in Information Systems Discipline","authors":"I. Bider","doi":"10.7250/csimq.2023-37.04","DOIUrl":"https://doi.org/10.7250/csimq.2023-37.04","url":null,"abstract":"A situation where both observing and observed activities need to be taken into consideration is not uncommon in practice. In Viable System Model (VSM), System 3* is dedicated to making sudden inspections on how the work is done “on the floor”. A typical case in research is an empirical study, where research activities are aimed at understanding the activities of the object under investigation. Though separate models of the observation activity and the observed activity are often presented, having an integrated model that connects both often falls under the radar. This article investi-gates how the latter model can be built and used in empirical research pro-jects in the Information System (IS) discipline. Articles in the IS field pre-senting research projects that use data from practice, as a rule, describe the practice and research process, including which research methods have been used for obtaining and analyzing the data. Some articles present models of practice under investigation using appropriate modeling notations. Some ar-ticles present a research process in some graphical form. However, to the best of our knowledge, there is no established practice of presenting a model that interconnects practical and research activities. This article tries to fill the gap, and it presents some ideas on how to build a model that inte-grates observing and observed activities. Such a model can be used for planning a research project and to better understand the limitations of the approaches used or to be used in the project.","PeriodicalId":404415,"journal":{"name":"Complex Systems Informatics and Modeling Quarterly","volume":" 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139137358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-30DOI: 10.7250/csimq.2022-30.00
Audrone Lupeikiene, Mubashrah Saddiqa
, Jelena Zdravkovic
, Jelena Zdravkovic
{"title":"Selected Topics in Digital Business Systems Research: Editorial Introduction to Issue 30 of CSIMQ","authors":"Audrone Lupeikiene, Mubashrah Saddiqa","doi":"10.7250/csimq.2022-30.00","DOIUrl":"https://doi.org/10.7250/csimq.2022-30.00","url":null,"abstract":", Jelena Zdravkovic","PeriodicalId":404415,"journal":{"name":"Complex Systems Informatics and Modeling Quarterly","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130935148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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