umu.sePublications
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • 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
Digital innovation management: investigating digital trace data in online communities
Umeå University, Faculty of Social Sciences, Department of Informatics. (Swedish Center for Digital Innovation)ORCID iD: 0000-0002-0441-0547
2019 (English)Doctoral thesis, comprehensive summary (Other academic)Alternative title
Digital innovationshantering : en undersökning av digital spårningsdata i onlinemiljöer (Swedish)
Abstract [en]

Firms and individuals are interacting online on an unprecedented scale. These interactions may lead to new digital products, services and practices, all of which are manifestations of digital innovation. This process relies on records users leave on various digital platforms which carry information about their activities – digital trace data. The data is generated on a massive scale, yet is just data until it is confronted with meaning – its value remains latent. Digital trace data is agnostic about future use, it carries records of interactions with digital artifacts and is available to wide numbers of actors to reinterpret them as sources of innovation and value creation. Online communities where data is generated can be sources of innovation, but are also extremely vulnerable. Digital trace data are not finitely expendable but may be used and passed along to any other individuals, partners, customers, or suppliers. To remain competitive, firms increasingly need to manage dynamic interactions of online community members, confront digital trace data with meaning, and facilitate innovation that is decentralized and requires heterogeneous knowledge resources.

This dissertation explores how digital innovation can be leveraged in the context of online communities. It is based on four empirical investigations in the context of firms interacting with online communities that are rich with digital trace data. Collectively, these studies illustrate the potential utility of digital trace data generated by online communities for digital innovation, and suggest possible strategies for effective management of digital innovation for value creation. The dissertation contributes to both theoretically and empirically oriented discourses on the use of digital trace data. Specifically, it does so by providing propositions for dealing with digital trace data through platform design, community sociality, and narration for digital innovation.

Place, publisher, year, edition, pages
Umeå: Umeå universitet , 2019. , p. 73
Series
Research reports in informatics, ISSN 1401-4572 ; 19.03
Keywords [en]
Digital innovation, digital trace data, online communities, computational methods, recombination
National Category
Information Systems, Social aspects
Research subject
computer and systems sciences
Identifiers
URN: urn:nbn:se:umu:diva-162950ISBN: 978-91-7855-111-8 (print)OAI: oai:DiVA.org:umu-162950DiVA, id: diva2:1348148
Public defence
2019-09-27, MA121, MIT-huset, Umeå, 14:00 (English)
Opponent
Supervisors
Available from: 2019-09-06 Created: 2019-09-03 Last updated: 2019-09-04Bibliographically approved
List of papers
1. The Acknowledgement Paradox in a User Community Context: Evidence from a Business Intelligence and Analytics User Community
Open this publication in new window or tab >>The Acknowledgement Paradox in a User Community Context: Evidence from a Business Intelligence and Analytics User Community
(English)Manuscript (preprint) (Other academic)
National Category
Information Systems
Research subject
computer and systems sciences
Identifiers
urn:nbn:se:umu:diva-162947 (URN)
Available from: 2019-09-03 Created: 2019-09-03 Last updated: 2019-09-04
2. Better Safe Than Sorry?: Investigating Big Data Evangelists and Their Value Propositions
Open this publication in new window or tab >>Better Safe Than Sorry?: Investigating Big Data Evangelists and Their Value Propositions
2018 (English)Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

In this study, we investigate value proposition offered by big data evangelists – zealous advocates for big data analytics. By applying Competing Value Framework, we analyze the communications of the market leader in data analysis and visualization applications. Surprisingly, our analysis shows how big data evangelist relies on a "safe" value proposition by focusing on potential gains in operational efficiency, rather than addressing more ambitious categories, such as flexibility, learning, and cohesion. We describe potential challenges in the “safe” approach to big data value proposition and suggest promising directions for future research.

Keywords
Business Analytics, Value of IT, Technological Evangelism, Competing Values Framework, Big Data
National Category
Information Systems, Social aspects
Identifiers
urn:nbn:se:umu:diva-147771 (URN)
Conference
Academy of Management Specialized Conference: Big Data and Managing in a Digital Economy, Surrey, April 18-20, 2018
Available from: 2018-05-17 Created: 2018-05-17 Last updated: 2019-09-04
3. “Stories within Stories”: Digital Multiplicity for Entrepreneurial Storytelling
Open this publication in new window or tab >>“Stories within Stories”: Digital Multiplicity for Entrepreneurial Storytelling
(English)Manuscript (preprint) (Other academic)
National Category
Information Systems
Research subject
computer and systems sciences
Identifiers
urn:nbn:se:umu:diva-162948 (URN)
Available from: 2019-09-03 Created: 2019-09-03 Last updated: 2019-09-04
4. Why Zlatan Ibrahimović is Bigger Than Manchester United: Investigating Digital Traces in Co-branding Processes on Social Media Platforms
Open this publication in new window or tab >>Why Zlatan Ibrahimović is Bigger Than Manchester United: Investigating Digital Traces in Co-branding Processes on Social Media Platforms
2019 (English)In: Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019, p. 2729-2738Conference paper, Published paper (Refereed)
Abstract [en]

The purpose of this study is to examine the co-branding activity on social media platforms, particularly in regard to company-employee relationship. We conducted a case study of co-branding on Instagram involving the soccer club Manchester United and the soccer player Zlatan Ibrahimović. We performed sentiment and emotional tone analysis, assessed intersection of the audience and illustrated non-verbal communication used by social media users. We demonstrated how the soccer club failed to capitalize on co-branding activity as measured through consolidating the audience, generating consistent emotional response, and creating a coherent message. This paper contributes to social media management research by illustrating the difficulties associated with co-branding between personal and corporate brands as well asynchronous communication. Further, our use of digital traces and computational analysis illustrates how access to social media can illuminate research activities and provide insight about online communication.

Keywords
computational methods, digital traces, social media management, social media, co-branding, Social Media Management in Big Data Era, Digital and Social Media
National Category
Information Systems, Social aspects
Identifiers
urn:nbn:se:umu:diva-155553 (URN)978-0-9981331-2-6 (ISBN)
Conference
Hawaii International Conference on System Sciences, 2019, 8-11 January, Maui, USA
Available from: 2019-01-21 Created: 2019-01-21 Last updated: 2019-09-03Bibliographically approved

Open Access in DiVA

fulltext(1271 kB)11 downloads
File information
File name FULLTEXT01.pdfFile size 1271 kBChecksum SHA-512
20e8804ed07cdd17f9a9ef840cae84b388e0d48fd2c0f2454d046220c5e190b2f7010ddaa945da6d7314376a44b807f5a4f1fa14fc85454764a91cc4e459a021
Type fulltextMimetype application/pdf
spikblad(114 kB)3 downloads
File information
File name SPIKBLAD01.pdfFile size 114 kBChecksum SHA-512
99c31d6317ea445a9a33f3ac44770b6b31fe98eed63401c9f4acb80b834e43006d655c5fc806e50a50ea18db6c9918fa8f1a38a1c0e466da275c11aa7e4ec7d8
Type spikbladMimetype application/pdf

Authority records BETA

Mankevich, Vasili

Search in DiVA

By author/editor
Mankevich, Vasili
By organisation
Department of Informatics
Information Systems, Social aspects

Search outside of DiVA

GoogleGoogle Scholar
Total: 11 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 84 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • 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