Endre søk
Link to record
Permanent link

Direct link
BETA
Bergvall-Kåreborn, BirgittaORCID iD iconorcid.org/0000-0003-4317-9963
Publikasjoner (10 av 97) Visa alla publikasjoner
Howcroft, D. & Bergvall-Kåreborn, B. (2019). A Typology of Crowdwork Platforms. Work, Employment and Society, 33(1), 21-38
Åpne denne publikasjonen i ny fane eller vindu >>A Typology of Crowdwork Platforms
2019 (engelsk)Inngår i: Work, Employment and Society, ISSN 0950-0170, E-ISSN 1469-8722, Vol. 33, nr 1, s. 21-38Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Despite growing interest in the gig economy among academics, policy makers and media commentators, the area is replete with different terminology, definitional constructs and contested claims about the ensuing transformation of work organisation. The aim of this positional piece is to provide a timely review and classification of crowdwork. A typology is developed to map the complexity of this emerging terrain, illuminating range and scope by critically synthesising empirical findings and issues from multidisciplinary literatures. Rather than side-tracking into debates as to what exactly constitutes crowdwork, the purpose of the typology is to highlight commonalities rather than distinctions, enabling connections across areas. The framework serves as a heuristic device for considering the broader implications for work and employment in terms of control and coordination, regulation and classification, and collective agency and representation.

sted, utgiver, år, opplag, sider
Sage Publications, 2019
Emneord
crowdsourcing, crowdwork, digital technologies, gig economy, ICTs, precarious work, self-employed
HSV kategori
Forskningsprogram
Informationssystem
Identifikatorer
urn:nbn:se:ltu:diva-68846 (URN)10.1177/0950017018760136 (DOI)000458198400002 ()2-s2.0-85060879750 (Scopus ID)
Merknad

Validerad;2019;Nivå 2;2019-03-08 (johcin)

Tilgjengelig fra: 2018-05-22 Laget: 2018-05-22 Sist oppdatert: 2019-03-08bibliografisk kontrollert
Padyab, A. M., Päivärinta, T., Ståhlbröst, A. & Bergvall-Kåreborn, B. (2019). Awareness of Indirect Information Disclosure on Social Network Sites. Social Media + Society, 5(2)
Åpne denne publikasjonen i ny fane eller vindu >>Awareness of Indirect Information Disclosure on Social Network Sites
2019 (engelsk)Inngår i: Social Media + Society, ISSN 2056-3051, E-ISSN 2056-3051, Vol. 5, nr 2Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

This research investigates user awareness and attitudes toward potential inferences of information posted on social network sites (SNSs). The study reports how user attitudes change after exposure to inferences made based upon information they have disclosed on an SNS, namely, on Facebook. To demonstrate this, two sub-studies involving three focus group sessions were conducted with Facebook users. In the first sub-study, the users received a general introduction to information that can be inferred from posts by using a prototypical privacy-enhancement tool called DataBait. Then, the second sub-study allowed the users to witness the potential inferences of their own Facebook photos and posts by using the DataBait tool. Next, qualitative content analysis was conducted to analyze the results, and these showed that the participants’ attitudes toward privacy on SNSs changed from affective to cognitive when they became aware of potential inferences from actual information posted on their own Facebook accounts. The results imply that end users require more cognitive awareness regarding their genres of disclosure and the effect of their disclosures on their privacy. Moreover, as privacy awareness is contextual, there is a need for more research and development of online tools that will allow users to manage and educate themselves.

sted, utgiver, år, opplag, sider
Sage Publications, 2019
Emneord
social network site, privacy awareness, affective attitude, cognitive attitude, genre of disclosure, secondary use of personal information, data mining
HSV kategori
Forskningsprogram
Informationssystem
Identifikatorer
urn:nbn:se:ltu:diva-73994 (URN)10.1177/2056305118824199 (DOI)000470281800001 ()
Merknad

Validerad;2019;Nivå 2;2019-06-05 (oliekm)

Tilgjengelig fra: 2019-05-20 Laget: 2019-05-20 Sist oppdatert: 2019-06-24bibliografisk kontrollert
Habibipour, A., Georges, A., Ståhlbröst, A., Schuurman, D. & Bergvall-Kåreborn, B. (2018). A Taxonomy of Factors Influencing Drop-Out Behaviour in Living Lab Field Tests. Technology Innovation Management Review, 5-21
Åpne denne publikasjonen i ny fane eller vindu >>A Taxonomy of Factors Influencing Drop-Out Behaviour in Living Lab Field Tests
Vise andre…
2018 (engelsk)Inngår i: Technology Innovation Management Review, ISSN 1927-0321, E-ISSN 1927-0321, s. 5-21Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The concept of a “living lab” is a relatively new research area and phenomenon that facilitates user engagement in open innovation activities. Studies on living labs show that the users’ motivation to participate in a field test is higher at the beginning of the project than during the rest of the test, and that participants have a tendency to drop out before completing the assigned tasks. However, the literature still lacks theories describing the phenomenon of drop-out within the area of field tests in general and living lab field tests in particular. As the first step in constructing a theoretical discourse, the aims of this study are to present an empirically derived taxonomy for the various factors that influence drop-out behaviour; to provide a definition of “drop-out” in living lab field tests; and to understand the extent to which each of the identified items influence participant drop-out behaviour. To achieve these aims, we first extracted factors influencing drop-out behaviour in the field test from our previous studies on the topic, and then we validated the extracted results across 14 semi-structured interviews with experts in living lab field tests. Our findings show that identified reasons for dropping out can be grouped into three themes: innovation-related, process-related, and participant-related. Each theme consists of three categories with a total of 44 items. In this study, we also propose a unified definition of “drop-out” in living lab field tests.

sted, utgiver, år, opplag, sider
Carleton University Graphic Services, 2018
Emneord
User engagement, Drop-out, Living Lab, Field test, Taxonomy
HSV kategori
Forskningsprogram
Informationssystem
Identifikatorer
urn:nbn:se:ltu:diva-69366 (URN)10.22215/timreview/1155 (DOI)
Prosjekter
User Engagement for Large Scale Pilots in the Internet of Things, U4IoT
Forskningsfinansiär
EU, Horizon 2020, 732078
Merknad

Validerad;2018;Nivå 2;2018-06-12 (andbra)

Tilgjengelig fra: 2018-06-12 Laget: 2018-06-12 Sist oppdatert: 2018-08-21bibliografisk kontrollert
Habibipour, A., Ståhlbröst, A., Georges, A., Bergvall-Kåreborn, B. & Schuurman, D. (2018). Drop-out in living lab field test: analyzing consequences and some recommendations. In: Twenty-Sixth European Conference on Information Systems (ECIS2018), Portsmouth, UK, 2018: . Paper presented at 26th European Conference on Information Systems (ECIS2018), Portsmouth, UK, 23–28 June 2018.
Åpne denne publikasjonen i ny fane eller vindu >>Drop-out in living lab field test: analyzing consequences and some recommendations
Vise andre…
2018 (engelsk)Inngår i: Twenty-Sixth European Conference on Information Systems (ECIS2018), Portsmouth, UK, 2018, 2018Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Involving individual users in the process of information systems development is a key dimension of open innovation. Living Labs are socio-technical systems that facilitate information systems development by integrating technical, social and organizational structures and focusing on individuals, tasks, technologies and the interactions between different stakeholders. Testing digital innovations in real-life use context is one of the key components of Living Labs. The users’ motivations to participate in Living Lab field tests at the beginning of the project are usually higher than once the field tests are underway. However, there is a dearth of research on other issues related to participants’ drop-out in Living Lab field tests. This study contributes to the existing literature by investigating the consequences of drop-out in Living Lab field tests and providing recommendations that would facilitate prolonged user engagement. The paper also discusses some ethical considerations regarding involvement of participants within Living Lab field tests. In doing so, we interviewed fourteen Living Lab experts in two Living Labs in Sweden and Belgium. Based on these interviews, we propose a first set of consequences, recommendations and ethical considerations to take into account when setting up Living Lab field tests. Keywords: User

Serie
AIS Electronic Library (AISeL)
Emneord
User engagement, Drop-out, Living Lab, Field test, Recommendations, Ethics
HSV kategori
Forskningsprogram
Informationssystem
Identifikatorer
urn:nbn:se:ltu:diva-69367 (URN)
Konferanse
26th European Conference on Information Systems (ECIS2018), Portsmouth, UK, 23–28 June 2018
Prosjekter
UNaLabUser Engagement for Large Scale Pilots in the Internet of Things, U4IoT
Forskningsfinansiär
EU, Horizon 2020, 732078
Tilgjengelig fra: 2018-06-12 Laget: 2018-06-12 Sist oppdatert: 2018-06-19bibliografisk kontrollert
Sandlund, M., Pohl, P., Ahlgren, C., Skelton, D. A., Melander Wikman, A., Bergvall-Kåreborn, B. & Lundin-Olsson, L. (2018). Gender perspective on older people’s exercise preferences and motivators in the context of falls prevention: a qualitative Study. BioMed Research International, Article ID 6865156.
Åpne denne publikasjonen i ny fane eller vindu >>Gender perspective on older people’s exercise preferences and motivators in the context of falls prevention: a qualitative Study
Vise andre…
2018 (engelsk)Inngår i: BioMed Research International, ISSN 2314-6133, E-ISSN 2314-6141, artikkel-id 6865156Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Background. Several factors have previously been identified to positively influence the uptake and adherence for fall prevention exercise programmes. There is, however, a lack of studies investigating if men and women differ in their views and preferences for fall prevention exercises. Aim. To explore exercise preferences and motivators of older community-dwelling women and men in the context of falls prevention from a gender perspective. Methods. Workshops including multistage focus group discussions were conducted with 18 older community-dwelling people with and without history of falls. Participants were purposively selected and divided into two groups. Each group met on six occasions over a period of five months. Participatory and Appreciative Action and Reflection methodology was used to guide the discussions. A qualitative content analysis approach was used in the analysis. Results. Older participants had many diverse preferences and confirmed that individually tailored exercise, in terms of mode, intensity, challenge, and social context, is important. Moreover, important factors for exercise adherence and maintenance included the experience of individual confirmation; different spirit lifters to increase enjoyment; and personal tricks to maintain exercise routines. The individual differences within genders were more diverse than the differences between women and men. Conclusion. Exercise interventions to prevent falls should be individually tailored, based on the specific needs and preferences of the older participant, and do not appear to require gender specific approaches. To increase adherence, intrinsic motivation for exercise may be encouraged by competence enhancing confirmations, energizing spirit lifters, and practical tips for exercise maintenance. The study provides an awareness about women’s and men’s preferences for fall prevention exercises, and this information could be used as guidance in designing inclusive exercise interventions.

sted, utgiver, år, opplag, sider
Hindawi Publishing Corporation, 2018
HSV kategori
Forskningsprogram
Fysioterapi; Informationssystem
Identifikatorer
urn:nbn:se:ltu:diva-70156 (URN)10.1155/2018/6865156 (DOI)000439167500001 ()30112416 (PubMedID)2-s2.0-85051027690 (Scopus ID)
Merknad

Validerad;2018;Nivå 2;2018-07-24 (inah)

Tilgjengelig fra: 2018-07-24 Laget: 2018-07-24 Sist oppdatert: 2018-08-20bibliografisk kontrollert
Rizk, A., Bergvall-Kåreborn, B. & Elragal, A. (2018). Towards A Taxonomy of Data-driven Digital Services. In: : . Paper presented at 51st Hawaii International Conference on System Sciences, (HICSS), Waikoloa, United States, 3–6 January 2018 (pp. 1076-1085). University of Hawai'i at Manoa
Åpne denne publikasjonen i ny fane eller vindu >>Towards A Taxonomy of Data-driven Digital Services
2018 (engelsk)Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Digitization is transforming every domain nowadays, leading to a growing body of knowledge on digital service innovation. Coupled with the generation and collection of big data, data-driven digital services are becoming of great importance to business, economy and society. This paper aims to classify the different types of data-driven digital services, as a first step to understand their characteristics and dynamics. A taxonomy is developed and the emerging characteristics include data acquisition mechanisms, data exploitation, insights utilization, and service interaction characteristics. The examined services fall into 15 distinct types and are further clustered into 3 classes of types: distributed analytics intermediaries, visual data-driven services, and analytics-embedded services. Such contribution enables service designers and providers to understand the key aspects in utilizing data and analytics in the design and delivery of their services. The taxonomy is set out to shape the direction and scope of scholarly discourse around digital service innovation research and practice.

sted, utgiver, år, opplag, sider
University of Hawai'i at Manoa, 2018
Emneord
Innovation, Digital services, Data-driven services, Big data, Taxonomy
HSV kategori
Forskningsprogram
Informationssystem
Identifikatorer
urn:nbn:se:ltu:diva-66471 (URN)10.24251/HICSS.2018.135 (DOI)978-0-9981331-1-9 (ISBN)
Konferanse
51st Hawaii International Conference on System Sciences, (HICSS), Waikoloa, United States, 3–6 January 2018
Prosjekter
OrganiCity
Tilgjengelig fra: 2017-11-08 Laget: 2017-11-08 Sist oppdatert: 2019-01-18bibliografisk kontrollert
Osman, A. M. S., Elragal, A. & Bergvall-Kåreborn, B. (2017). Big Data Analytics and Smart Cities: A Loose or Tight Couple?. In: Kommers P.,Rodrigues L. (Ed.), Proceedings of the International Conference on ICT, Society and Human Beings 2017: Part of the Multi Conference on Computer Science and Information Systems 2017. Paper presented at 10th International Conference on Connected Smart Cities 2017 (CSC 2017), Lisbon, 20-22 July 2017 (pp. 157-168). IADIS
Åpne denne publikasjonen i ny fane eller vindu >>Big Data Analytics and Smart Cities: A Loose or Tight Couple?
2017 (engelsk)Inngår i: Proceedings of the International Conference on ICT, Society and Human Beings 2017: Part of the Multi Conference on Computer Science and Information Systems 2017 / [ed] Kommers P.,Rodrigues L., IADIS , 2017, s. 157-168Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Smart City (SC) is an emerging concept aiming at mitigating the challenges raised due to the continuous urbanization development. To face these challenges, government decision makers sponsor SC projects targeting sustainable economic growth and better quality of life for inhabitants and visitors. Information and Communication Technologies (ICT) is the enabling technology for smartening. These technologies yield massive volumes of data known as Big Data (BD). If spawned BD are integrated and analyzed, both city decision makers and citizens can benefit from valuable insights and information services. The process of extracting information and insights from BD is known as Big Data Analytics (BDA). Although BDA involves non-trivial challenges, it attracted academician and industrialist. Surveying the literature reveals the novelty and increasing interest in addressing BD applications in SCs. Although literature is replete with abundant number of articles about SCs applications harnessing BD, comprehensive discussion on BDA frameworks fitting SCs requirements is still needed. This paper attempts to fill this gap. It is a systematic literature review on BDA frameworks in SCs. In this review, we will try to answer the following research questions: what are the big data analytics frameworks applied in smart cities? what are the functional gaps in the current available frameworks? what are the conceptual guidelines of designing integrated scalable big data analytics frameworks for smart cities purposes? The paper concludes with a proposal for a novel conceptual analytics framework to serve SCs requirements. Additionally, open issues and further research directions are presented.

sted, utgiver, år, opplag, sider
IADIS, 2017
Emneord
Big data, Big data analytics Frameworks, Smart cities
HSV kategori
Forskningsprogram
Informationssystem
Identifikatorer
urn:nbn:se:ltu:diva-63718 (URN)2-s2.0-85040188916 (Scopus ID)9789898533678 (ISBN)
Konferanse
10th International Conference on Connected Smart Cities 2017 (CSC 2017), Lisbon, 20-22 July 2017
Tilgjengelig fra: 2017-06-05 Laget: 2017-06-05 Sist oppdatert: 2018-01-19bibliografisk kontrollert
Rizk, A., Bergvall-Kåreborn, B. & Elragal, A. (2017). Digital Service Innovation Enabled by Big Data Analytics: A Review and the Way Forward. In: Proceedings of the 50th Hawaii International Conference on System Sciences 2017: . Paper presented at Hawaii International Conference on System Sciences (HICSS), Jan 4-7 2017 (pp. 1247-1256). University of Hawai'i at Manoa
Åpne denne publikasjonen i ny fane eller vindu >>Digital Service Innovation Enabled by Big Data Analytics: A Review and the Way Forward
2017 (engelsk)Inngår i: Proceedings of the 50th Hawaii International Conference on System Sciences 2017, University of Hawai'i at Manoa , 2017, s. 1247-1256Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Service innovation is attracting attention with the expanding service industries and economies. Accompanied by major developments in ICT and sensory and digital technologies, the interest in digital service innovation (DSI), both from academia and industry, is increasing. Digitization and the accompanying technological advancements are leading to phenomena that call for extensive research in relation to service innovation; one of which is big data analytics (BDA). In this paper, we review the DSI literature and explore how BDA can contribute along the different dimensions of DSI. The ex post literature suffers from the lack of such studies. Accordingly, we suggest a research agenda for BDA-enabled DSI, motivated by emerging research gaps, as well as opportunities and guiding research questions. It is expected that such research agenda will contribute to shape an ex ante research efforts in an attempt to advance the state-of-the-art in BDA-enabled DSI.

sted, utgiver, år, opplag, sider
University of Hawai'i at Manoa, 2017
Emneord
Big Data, Analytics, Service Innovation, Digital Services, Review
HSV kategori
Forskningsprogram
Informationssystem
Identifikatorer
urn:nbn:se:ltu:diva-61095 (URN)10.24251/HICSS.2017.149 (DOI)978-0-9981331-0-2 (ISBN)
Konferanse
Hawaii International Conference on System Sciences (HICSS), Jan 4-7 2017
Tilgjengelig fra: 2016-12-15 Laget: 2016-12-15 Sist oppdatert: 2019-01-17bibliografisk kontrollert
Habibipour, A., Georges, A., Schuurman, D. & Bergvall-Kåreborn, B. (2017). Drop-out in Living Lab Field Tests: A Contribution to the Definition and the Taxonomy. In: Research Day Conference proceedings 2017: OpenLivingLab Days. Paper presented at Open Living Lab Days 2017, Krakow, Poland, 29/8 - 1/9 2017 (pp. 7-20). Krakow: ENoLL - European Network of Living Labs
Åpne denne publikasjonen i ny fane eller vindu >>Drop-out in Living Lab Field Tests: A Contribution to the Definition and the Taxonomy
2017 (engelsk)Inngår i: Research Day Conference proceedings 2017: OpenLivingLab Days, Krakow: ENoLL - European Network of Living Labs , 2017, s. 7-20Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Studies on living labs show that the users’ motivation to participate in a field test is higher at the beginning of the project than during the rest of the test, and that users tend to dropout before completing the assigned tasks. However, the literature still lacks theories describing the phenomenon of drop-out within the area of living lab field tests. As the first step of developing a theoretical discourse, the aim of this study is to present an empirically derived taxonomy for the various influential factors on drop-out behavior and to provide a definition for drop-out in living lab field tests. To achieve this goal, we first extracted factors influencing drop-out in the field test by conducting a short literature review on the topic, and then triangulated the factors across 14 semi-structured interviews with experts in living lab field tests. Our findings show that identified reasons for drop-out can be grouped in three categories: innovation-related, research-related and participant-related. Each category in turn, consists of three subcategories with a total of 45 items for drop-out in living lab field tests. In this study, we also explore different types of drop-out and propose a definition for drop-out in living lab field tests.

sted, utgiver, år, opplag, sider
Krakow: ENoLL - European Network of Living Labs, 2017
Emneord
User engagement, Drop-out, Living Lab, Field test, Taxonomy, User motivation
HSV kategori
Forskningsprogram
Informationssystem
Identifikatorer
urn:nbn:se:ltu:diva-65069 (URN)9789082102772 (ISBN)
Konferanse
Open Living Lab Days 2017, Krakow, Poland, 29/8 - 1/9 2017
Prosjekter
iDAG
Tilgjengelig fra: 2017-08-14 Laget: 2017-08-14 Sist oppdatert: 2018-04-05bibliografisk kontrollert
Habibipour, A., Padyab, A., Bergvall-Kåreborn, B. & Ståhlbröst, A. (2017). Exploring Factors Influencing Participant Drop-Out Behavior in a Living Lab Environment. In: Susanne Stigberg, Joackim Karlsen, Harald Holone, Cathrine Linnes (Ed.), Scandinavian Conference on Information Systems: 8th Scandinavian Conference on Information Systems, SCIS 2017, Halden, Norway, August 6-8, 2017, Proceedings. Paper presented at 8th Scandinavian Conference on Information Systems, SCIS 2017, Halden, Norway, August 6-9, 2017 (pp. 28-40). Cham: Springer
Åpne denne publikasjonen i ny fane eller vindu >>Exploring Factors Influencing Participant Drop-Out Behavior in a Living Lab Environment
2017 (engelsk)Inngår i: Scandinavian Conference on Information Systems: 8th Scandinavian Conference on Information Systems, SCIS 2017, Halden, Norway, August 6-8, 2017, Proceedings / [ed] Susanne Stigberg, Joackim Karlsen, Harald Holone, Cathrine Linnes, Cham: Springer, 2017, s. 28-40Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

The concept of “living lab” is a rather new phenomenon that facilitates user involvement in open innovation activities. The users’ motivations to contribute to the living lab activities at the beginning of the project are usually higher than once the activities are underway. However, the literature still lacks an understanding of what actions are necessary to reduce the likelihood of user drop-out throughout the user engagement process. This study aims to explore key factors that are influential on user drop-out in a living lab setting by engaging users to test an innovation during the pilot phase of the application’s development. The stability of the prototype, ease of use, privacy protection, flexibility of the prototype, effects of reminders, and timing issues are the key influential factors on user drop-out behavior. This paper summarizes the key lessons learned from the case study and points to avenues for future research.

sted, utgiver, år, opplag, sider
Cham: Springer, 2017
Serie
Lecture Notes in Business Information Processing, ISSN 1865-1348 ; 294
Emneord
User engagement, Drop-out, Living lab, Case study, Field test
HSV kategori
Forskningsprogram
Informationssystem
Identifikatorer
urn:nbn:se:ltu:diva-65068 (URN)10.1007/978-3-319-64695-4_3 (DOI)2-s2.0-85028300455 (Scopus ID)978-3-319-64694-7 (ISBN)978-3-319-64695-4 (ISBN)
Konferanse
8th Scandinavian Conference on Information Systems, SCIS 2017, Halden, Norway, August 6-9, 2017
Prosjekter
USEMP, Privacy Flag, U4IOTUser Engagement for Large Scale Pilots in the Internet of Things, U4IoT
Forskningsfinansiär
EU, Horizon 2020, 732078
Tilgjengelig fra: 2017-08-14 Laget: 2017-08-14 Sist oppdatert: 2018-06-19bibliografisk kontrollert
Organisasjoner
Identifikatorer
ORCID-id: ORCID iD iconorcid.org/0000-0003-4317-9963