Logo: to the web site of Uppsala University

uu.sePublications from Uppsala University
Change search
Refine search result
1 - 10 of 10
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Rows per page
  • 5
  • 10
  • 20
  • 50
  • 100
  • 250
Sort
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
Select
The maximal number of hits you can export is 250. When you want to export more records please use the Create feeds function.
  • 1.
    Fischer, Tobias Christian
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Business Studies.
    Applying the REA Model to a BI Solution in the Car Industry2016In: / [ed] Lars Engwall, Gothenburg, 2016, Vol. 01, p. 1-25Conference paper (Other (popular science, discussion, etc.))
  • 2.
    Fischer, Tobias Christian
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Business Studies.
    Big Data - The Next Big Analytical Thing?2014In: The Swedish Research School of Management and Information Technology, Umeå, 26.03.2014 / [ed] Lars Engwall, 2014, p. 1-21Conference paper (Other (popular science, discussion, etc.))
    Abstract [en]

    Practitioners are sure: Big Data is the next big thing. This sketch is providing an academic approach to explore and explain the values of big data. Therefore it gives a definition and builds on a management control framework by Nilsson and Rapp (2005). The main question is: What is the value of big data for companies? The answer is provided by using a comparative case in which a company is analyzed before and after using big data. Interviews with CEOs, process manager and IT-executives were conducted to understand the aim of introducing big data and the requirements to use big data. Furthermore, work shadowing with people working within the process were conducted to map and compare the process before and after. Firm specific key performance indicators were measured and the opinions of users were conducted to give a complete picture of the IT-process in which people work.

  • 3. Fischer, Tobias Christian
    Business Intelligence Models and Managerial Actions: Increasing Integration and Output of Technology2018In: Submitted to Journal of Information Systems Management.Article, review/survey (Other academic)
    Abstract [en]

    Business intelligence systems (BIS) are digital tools supporting operational and strategical decisions made by regular employees, experts and managers in their daily work in organizations. In order to function as an effective decision support tool, the BIS have to reach a certain degree of maturity. Business intelligence maturity models (BIMM) are tools used as part of a concept aimed at helping employees, experts and managers to understand the interaction of several key organizational areas such as technologies, people and processes within a firm. Concrete managerial actions are not present in the current body of BIMM research. This paper therefore seeks to address this gap by exploring the following research question: ‘How can managerial actions be integrated into a BIMM to support the use of BIS?’ Based on this, a literature review of BIMM research is presented together with a case study performed at a sales organization of a major car manufacturer. The results of the review and the empirical studies are combined into a BIMM that includes a managerial perspective identifying three maturity phases with a mission: Introduce BIS, Process BIS and Integrate BIS. Managerial roles and actions that managers may take to move the use of BIS from one maturity phase to another are presented in each phase .    

  • 4.
    Fischer, Tobias Christian
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Business Studies.
    Business Intelligence through a sociomaterial lens: The imbrication of people and technology in a sales process2018Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    Digitalization and digital devices are on the rise, and as a result, many new products and services have been developed, which has led to greater interaction between people and technology. This thesis explores the interaction between people and technology by looking at the daily use of a business intelligence (BI) system in an automotive company’s sales process, where sellers use the system to analyze, report, and measure sales performance. The thesis is based on a single case study, and the data sources are in-depth interviews, observations, and archival data.

    The theoretical perspective is grounded in the concept of sociomateriality and its notion of the imbrication of people and technology. Specifically, this work explores the research question ‘How does imbrication between people and technology develop during daily use of BI systems?’ The main theoretical finding is that three phases of imbrication can describe theses interactions, and these phases coincide with three situations in which people and technology must interact: automation of transactional work (Imbrication Phase 1), ‘informating’ of analytical work (Imbrication Phase 2), and transformation of work (Imbrication Phase 3). These three Imbrication Phases demonstrate the social dynamics at play when people interact with technology (specifically with BI). This contribution therefore extends the concept of imbrication within the field of sociomateriality. The primary empirical contribution is to illustrate the daily use and practice of BI within a sales process.

    List of papers
    1. Technology in its context: A literature review of the macro and micro levels of business intelligence
    Open this publication in new window or tab >>Technology in its context: A literature review of the macro and micro levels of business intelligence
    2018 (English)In: International Journal of Business Intelligence and Data Mining, ISSN 1743-8187, no 1/2/3, p. 347-368Article in journal (Refereed) Published
    Abstract [en]

    The purpose of the literature review is to identify characteristics, concepts, and theories of business intelligence (BI). The status quo of BI is based on the literature review, which covers 86 journal articles from the three areas of accounting, strategy, and information systems between 2006 and 2014. The review combines two established frameworks to illustrate new insights regarding the macro and micro levels of BI. The complementary combination of both levels produces a new lens that shows the conceptualisation and characteristics of BI in a holistic view. The result of the study shows that BI is used as a monolithic concept and static tool with technical control mechanisms. Another result implies that BI is in a phase of maturity, in which it fulfils an organisational purpose without considering its social context or ecosystem in which it occurs. The literature review contributes to the characterisation and theorisation of BI and shows that a company depend on both characteristics and the purpose for which BI is used.

    Place, publisher, year, edition, pages
    United Kingdom: , 2018
    Keywords
    accounting, business intelligence, conceptualisation, information systems, literature review, macro level, measurement system, micro level, strategy, technology
    National Category
    Business Administration
    Research subject
    Information Systems; Business Studies
    Identifiers
    urn:nbn:se:uu:diva-342550 (URN)10.1504/IJBIDM.2018.088439 (DOI)2-s2.0-85115826002 (Scopus ID)
    Available from: 2018-02-22 Created: 2018-02-22 Last updated: 2022-12-06Bibliographically approved
    2. The Use of Business Intelligence in a Sales Process: Looking at Critical Situations in the Purchase with an Accounting Model
    Open this publication in new window or tab >>The Use of Business Intelligence in a Sales Process: Looking at Critical Situations in the Purchase with an Accounting Model
    2017 (English)Conference paper, Oral presentation with published abstract (Refereed)
    Abstract [en]

    Critical situations are events in a sales process where customers are satisfied or dissatisfied. Sellers have to make decisions to provide a positive customer experience by making decisions to satisfy customers. Business Intelligence (BI) are digital tools, which support sellers’ decisions through performance measurements. In the case illustrated, the Resource-Event-Agency (REA) accounting model is used as a theoretical lens to show how BI is applied in critical situations. The focus is on purchase and follow-up in the car manufacturing company and REA looks at the database-, semantic- and structure orientation of BI and its interaction with people. A result of the study is an extension of the REA accounting model by introducing a cube model and BI as a practical lens. Another result shows how BI is used as a resource through the theoretical lens of the REA accounting model, which could help to use BI better strategically. 

    Place, publisher, year, edition, pages
    Halden, Norway: , 2017
    National Category
    Business Administration
    Identifiers
    urn:nbn:se:uu:diva-357304 (URN)
    Conference
    Information Systems Research Seminar in Scandinavia (IRIS40), 6-9 August, 2017, Halden, Norway
    Available from: 2018-08-14 Created: 2018-08-14 Last updated: 2019-01-09Bibliographically approved
    3. Gamification and Affordances: How Do New Affordances Lead to Gamification in a Business Intelligence System?
    Open this publication in new window or tab >>Gamification and Affordances: How Do New Affordances Lead to Gamification in a Business Intelligence System?
    2017 (English)In: Systems, Software and Services Process Improvement (EUROSPI 2017) / [ed] Stolfa, Jakub; Stolfa, Svatopluk; O'Connor, Rory V.; Messnarz, Richard, 2017, p. 310-320Conference paper, Published paper (Refereed)
    Abstract [en]

    Gamification provides new affordances when integrated into BI systems. The paper highlights visibility, editability, persistence and association as organisational affordances that motivate people to use a BI system through gamification functionalities. The study is conducted at a car manufacturer where, for example, rewards and leaderboards are integrated into a BI system that responds to game interface design patterns. The result suggests an affordance model that could be used to develop and implement BI systems better and increase the use in a company.

    Series
    Communications in Computer and Information Science, ISSN 1865-0929 ; 748
    Keywords
    Affordance, Association, BI, Business intelligence, BI system, Car manufacturer, Case study, Game design elements, Game thinking elements, Gamification, Gamification elements, Rewards, Sales process, VEPA affordance model
    National Category
    Business Administration
    Research subject
    Business Studies; Computer Science; Information Systems
    Identifiers
    urn:nbn:se:uu:diva-329077 (URN)10.1007/978-3-319-64218-5_26 (DOI)000434331400026 ()978-3-319-64218-5 (ISBN)978-3-319-64217-8 (ISBN)
    Conference
    24th European Conference on Systems, Software and Services Process Improvement (EuroSPI), 2017, SEP 06-08, Ostrava, Czech Republic.
    Available from: 2017-09-07 Created: 2017-09-07 Last updated: 2018-10-22Bibliographically approved
    4. Business Intelligence Models and Managerial Actions: Increasing Integration and Output of Technology
    Open this publication in new window or tab >>Business Intelligence Models and Managerial Actions: Increasing Integration and Output of Technology
    2018 (English)In: Submitted to Journal of Information Systems Management.Article, review/survey (Other academic) Published
    Abstract [en]

    Business intelligence systems (BIS) are digital tools supporting operational and strategical decisions made by regular employees, experts and managers in their daily work in organizations. In order to function as an effective decision support tool, the BIS have to reach a certain degree of maturity. Business intelligence maturity models (BIMM) are tools used as part of a concept aimed at helping employees, experts and managers to understand the interaction of several key organizational areas such as technologies, people and processes within a firm. Concrete managerial actions are not present in the current body of BIMM research. This paper therefore seeks to address this gap by exploring the following research question: ‘How can managerial actions be integrated into a BIMM to support the use of BIS?’ Based on this, a literature review of BIMM research is presented together with a case study performed at a sales organization of a major car manufacturer. The results of the review and the empirical studies are combined into a BIMM that includes a managerial perspective identifying three maturity phases with a mission: Introduce BIS, Process BIS and Integrate BIS. Managerial roles and actions that managers may take to move the use of BIS from one maturity phase to another are presented in each phase .    

    National Category
    Business Administration
    Identifiers
    urn:nbn:se:uu:diva-357305 (URN)
    Available from: 2018-08-14 Created: 2018-08-14 Last updated: 2018-08-14
    Download full text (pdf)
    fulltext
    Download (jpg)
    presentationsbild
  • 5.
    Fischer, Tobias Christian
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Business Studies.
    Communications in Computer and Information Science2017In: Gamification and Affordances: How Do New Affordances Lead to Gamification in a Business Intelligence System? / [ed] Diniz Junqueira Barbosa, S., Chen, P., Filipe, J., Kotenko, I., Sivalingam, K.M., Washio, T., Yuan, J., Zhou, L., Germany: Springer Berlin/Heidelberg, 2017, 1Chapter in book (Refereed)
    Abstract [en]

    Gamification provides new affordances when integrated into BI systems. The paper highlights visibility, editability, persistence and association as organisational affordances that motivate people to use a BI system through gamification functionalities. The study is conducted at a car manufacturer where, for example, rewards and leaderboards are integrated into a BI system that responds to game interface design patterns. The result suggests an affordance model that could be used to develop and implement BI systems better and increase the use in a company.

  • 6.
    Fischer, Tobias Christian
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Business Studies.
    Gamification and Affordances: How Do New Affordances Lead to Gamification in a Business Intelligence System?2017In: Systems, Software and Services Process Improvement (EUROSPI 2017) / [ed] Stolfa, Jakub; Stolfa, Svatopluk; O'Connor, Rory V.; Messnarz, Richard, 2017, p. 310-320Conference paper (Refereed)
    Abstract [en]

    Gamification provides new affordances when integrated into BI systems. The paper highlights visibility, editability, persistence and association as organisational affordances that motivate people to use a BI system through gamification functionalities. The study is conducted at a car manufacturer where, for example, rewards and leaderboards are integrated into a BI system that responds to game interface design patterns. The result suggests an affordance model that could be used to develop and implement BI systems better and increase the use in a company.

  • 7.
    Fischer, Tobias Christian
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Business Studies.
    Literature Review about Business Intelligence between 2006 - 20142015In: / [ed] Lars Engwall, Linköping, 2015, p. 1-26Conference paper (Other (popular science, discussion, etc.))
  • 8.
    Fischer, Tobias Christian
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Business Studies.
    Technology in its context: A literature review of the macro and micro levels of business intelligence2018In: International Journal of Business Intelligence and Data Mining, ISSN 1743-8187, no 1/2/3, p. 347-368Article in journal (Refereed)
    Abstract [en]

    The purpose of the literature review is to identify characteristics, concepts, and theories of business intelligence (BI). The status quo of BI is based on the literature review, which covers 86 journal articles from the three areas of accounting, strategy, and information systems between 2006 and 2014. The review combines two established frameworks to illustrate new insights regarding the macro and micro levels of BI. The complementary combination of both levels produces a new lens that shows the conceptualisation and characteristics of BI in a holistic view. The result of the study shows that BI is used as a monolithic concept and static tool with technical control mechanisms. Another result implies that BI is in a phase of maturity, in which it fulfils an organisational purpose without considering its social context or ecosystem in which it occurs. The literature review contributes to the characterisation and theorisation of BI and shows that a company depend on both characteristics and the purpose for which BI is used.

  • 9.
    Fischer, Tobias Christian
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Business Studies.
    The New Economy of Intangible Resources in Management Control: BI in Action: (Re-)think and Improve the Way Work is Done2014In: The Swedish Research School of Management and Information Technology, Uppsala, 30.11.2014 / [ed] Lars Engwall, 2014, p. 1-44Conference paper (Other (popular science, discussion, etc.))
    Abstract [en]

    My thesis proposal “The New Economy of Intangible Resources in Management Control: Business Intelligence (BI) in Action - (Re-)think and Improve the Work is Done” suggests that IT, especially business intelligence and big data, are creating a competitive advantage and strengthens the intangible resources - especially information and communication as the precondition of knowledge (Ibekwe-SanJuan, 2013).

    This new view makes it necessary for organizations to rethink the role of controllers and managers (Lindvall, 2009). The traditional view is driven by number-crunching and this paper suggests a view which is strongly connected towards data, applied statistics, computer science and the understanding and communication of business needs. To underpin this the paper builds on an adaptation of a scientific framework which highlights the relationship between strategy, enterprise systems and controller/manager.

    The following research question and one sub-question are going to be answered: How is BI enabling information, communication and knowledge? How does BI support the utilization of intangible resources and the work of managers/controllers?

    By using work shadowing, semi-structured interviews and documentation within IBM, EMC, Scania and Damiler (suggested cases), paper 1 investigates the relationship between business intelligence and the controller/manager to analyze the usage of intangible resources such as information, communication and knowledge.

  • 10.
    Fischer, Tobias Christian
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Business Studies.
    The Use of Business Intelligence in a Sales Process: Looking at Critical Situations in the Purchase with an Accounting Model2017Conference paper (Refereed)
    Abstract [en]

    Critical situations are events in a sales process where customers are satisfied or dissatisfied. Sellers have to make decisions to provide a positive customer experience by making decisions to satisfy customers. Business Intelligence (BI) are digital tools, which support sellers’ decisions through performance measurements. In the case illustrated, the Resource-Event-Agency (REA) accounting model is used as a theoretical lens to show how BI is applied in critical situations. The focus is on purchase and follow-up in the car manufacturing company and REA looks at the database-, semantic- and structure orientation of BI and its interaction with people. A result of the study is an extension of the REA accounting model by introducing a cube model and BI as a practical lens. Another result shows how BI is used as a resource through the theoretical lens of the REA accounting model, which could help to use BI better strategically. 

1 - 10 of 10
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf