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Frans Feldberg
VU University Amsterdam
39Publications
13H-index
553Citations
Publications 39
Newest
Last.Frans FeldbergH-Index: 13
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We analyze how data characteristics can influence value realization. Many studies on data- driven value realization characterize data as universal and de-contextualized resources that are similar a...
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Last.Frans FeldbergH-Index: 13
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In this study, we unpack how data-driven value realization can be understood from a practice view. Specifically, we study how a European postal service organization, LogiCo, strategizes with data to create and appropriate value. We identify three shifts in time when members of the organization changed their assumptions about what data are relevant, what data properties are central to realizing value, and how they should strategize with data. Our study empirically shows that several attributes of...
Dec 10, 2017 in ICIS (International Conference on Information Systems)
Last.Frans FeldbergH-Index: 13
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We study how a European postal service organization (LogiCo) tried to create and appropriate value from big data. Our analysis uncovers four tensions shaping this process: 1) Using existing data versus finding data elsewhere; 2) Thin versus thick processing of data; 3) Self-analytics versus analytics service, and 4) Ex-ante versus ex-post proof of data value. We discuss how these tensions may have emerged by looking at the nature of the data and see three characteristics playing a role: granular...
1 Citations
#1Wendy Arianne Günther (VU: VU University Amsterdam)H-Index: 1
#2Mohammad Hosein Rezazade Mehrizi (VU: VU University Amsterdam)H-Index: 2
Last.Frans Feldberg (VU: VU University Amsterdam)H-Index: 13
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Abstract Big data has been considered to be a breakthrough technological development over recent years. Notwithstanding, we have as yet limited understanding of how organizations translate its potential into actual social and economic value. We conduct an in-depth systematic review of IS literature on the topic and identify six debates central to how organizations realize value from big data, at different levels of analysis. Based on this review, we identify two socio-technical features of big d...
62 CitationsSource
#1Alexander P. Schouten (Tilburg University)H-Index: 18
#2Bart van den Hooff (VU: VU University Amsterdam)H-Index: 19
Last.Frans Feldberg (VU: VU University Amsterdam)H-Index: 13
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This study investigates how three-dimensional virtual environments (3DVEs) support shared understanding and group decision making. Based on media synchronicity theory, we pose that the shared environment and avatar-based interaction allowed by 3DVEs aid convergence processes in teams working on a decision-making task, leading to increased shared understanding between team members. This increases team performance. An experiment was conducted in which 70 teams of three participants had to decide o...
16 CitationsSource
#1Wendy Arianne Günther (VU: VU University Amsterdam)H-Index: 1
Last.Marleen HuysmanH-Index: 25
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Big data analytics (BDA) has gained significant impetus as a breakthrough technological development. Yet, systematic empirical evidence on how organizations transform BDA opportunities into economic or social values is scattered in the literature. Therefore, we performed a systematic literature review to examine: How do organizations actualize the value potentials of BDA? The study contributes to the accumulation of scientific evidence on six contested organizational dynamics at work-practice, o...
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#1Tibert Verhagen (VU: VU University Amsterdam)H-Index: 17
#2Erik Swen (VU: VU University Amsterdam)H-Index: 1
Last.Jani Merikivi (CCNU: Central China Normal University)H-Index: 8
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We propose and test a model for studying customer engagement within VCEs.Hedonic, social, and cognitive benefits positively influence customer engagement.Personal integrative benefits do not influence customer engagement.System-specific VCE characteristics influence the perceived benefits of a VCE.The results are robust across three datasets of actual VCE users. Customer engagement has been labeled as a prerequisite for the success of virtual customer environments. A key challenge for organizati...
40 CitationsSource
#1Charlotte VonkemanH-Index: 5
#2Tibert VerhagenH-Index: 17
Last.Willemijn van DolenH-Index: 17
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#1Sarah van der Land (EUR: Erasmus University Rotterdam)H-Index: 5
#2Alexander P. Schouten (Tilburg University)H-Index: 18
Last.Bart van den Hooff (VU: VU University Amsterdam)H-Index: 19
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This multimethod study investigated how avatar appearance influences virtual team performance. This study is the first to integrate the framework of social identity model of de-individuation effects (SIDE) and Self-Identification theory, using "morphing" techniques. Results were obtained from a 2 (team visual similarity: dissimilar vs. similar team avatars)×2 (member-avatar similarity: cartoon avatars vs. avatar similar to self) experiment (N=240). The findings indicated that teams using "morphe...
10 CitationsSource
This study investigates how three-dimensional virtual environments (3DVEs) support shared understanding and group decision making. Based on media synchronicity theory, we pose that the shared environment and avatar-based interaction allowed by 3DVEs aid convergence processes in teams working on a decision-making task, leading to increased shared understanding between team members. This increases team performance. An experiment was conducted in which 70 teams of three participants had to decide o...
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