Browsing by Author "Arzoglou, Ektor"
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- The case of iOS and Android: Applying system dynamics to digital business platforms
A4 Artikkeli konferenssijulkaisussa(2019-01-01) Arzoglou, Ektor; Elo, Tommi; Nikander, PekkaPlatforms are multi-sided marketplaces that bring together groups of users that would otherwise not have been able to connect or transact. The app markets for Apple iOS and Google Android are examples of such markets. System dynamics is a powerful method to gain useful insight into environments of dynamic complexity and policy resistance. In this paper, we argue that adapted to the context of digital business platforms, the practice of system dynamics facilitates understanding of the role of incentives in such marketplaces for increasing participation, value generation, and market growth. In particular, we describe our efforts to simulate the market competition between iOS and Android in terms of the interacting markets for devices and their apps. - Improving IoT Federation Resiliency with Distributed Ledger Technology
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä(2021) Elo, Tommi M.; Ruutu, Sampsa; Arzoglou, Ektor; Kortesniemi, Yki; Lagutin, Dmitrij; Hoseini, Veria; Polyzos, George C.Despite the rapid spread of Internet of Things (IoT) systems, the lack of interoperability between the systems significantly hinders their business and societal potential. Moreover, a major challenge for wider interoperability is that the IoT systems can be owned by multiple independent entities, whose collaboration will need to be organised to ensure their interoperability. One approach for achieving this is to establish federations supported by Distributed Ledger Technologies (DLTs), as this enables interoperability between entities and collaboration between business platforms, thereby overcoming many technical and administrative difficulties. DLTs can provide the required transparency and immutability for management of the federations, thus increasing trust and reducing the risk of misbehaviour that could destabilise the federation. This paper presents two system dynamics simulation models, which demonstrate that the success of a federation (with or without DLT support) is inversely related to the short-term selfishness of its members, and we then proceed to show that DLTs can improve the feedback received by the federation members on their actions by promoting a common consensus, which in turn can make the federation more resilient. - Privacy Paradox in Social Media: A System Dynamics Analysis
A4 Artikkeli konferenssijulkaisussa(2022) Arzoglou, Ektor; Kortesniemi, Yki; Ruutu, Sampsa; Elo, TommiThe term ‘privacy paradox’ refers to the apparent inconsistency between people’s concerns about their privacy and their actual privacy behaviour. Although several possible explanations for this phenomenon have been provided so far, these assume that (1) all people share the same privacy concerns and (2) a snapshot at a given point in time is enough to explain the phenomenon. To overcome these limitations, this article presents a system dynamics simulation model that considers the diversity of privacy concerns during the process of social media adoption and identifies the types of situations in which the privacy paradox emerges. The results show that (1) the least concerned minority can induce the more concerned majority to adopt social media and (2) even the most concerned minority can be hindered by the less concerned majority from discarding social media. Both (1) and (2) are types of situations that reflect the privacy paradox. - The Role of Privacy Obstacles in Privacy Paradox: A System Dynamics Analysis
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä(2023-04-19) Arzoglou, Ektor; Kortesniemi, Yki; Ruutu, Sampsa; Elo, TommiPeople use social media to achieve particular gratifications despite expressing concerns about the related privacy risks that may lead to negative consequences. This inconsistency between privacy concerns and actual behaviour has been referred to as the privacy paradox. Although several possible explanations for this phenomenon have been provided over the years, they each consider only some of the obstacles that stand in the way of informed and rational privacy decisions, and they usually assume a static situation, thus neglecting the changes taking place over time. To overcome these limitations, this article incorporates all the key privacy obstacles into a qualitative system dynamics model and examines the conditions under which the privacy paradox emerges over time in the context of social media. The results show that the privacy obstacles prevent adequately accounting for the negative consequences by (1) reinforcing gratifications, thus inducing social media adoption and use, while (2) hampering the realisation of (all) negative consequences, thus reducing the motivation for social media discard. Moreover, gratifications kick off early and often seem to dominate even major long-term negative consequences, thereby resulting in users becoming only gradually concerned about privacy, by which time they are usually deeply engaged in the platform to consider discarding, and therefore arriving in a paradoxical situation that seems not viable to escape from (i.e., the boiling frog syndrome). Conversely, major short-term negative consequences are more likely to conflict with gratifications already earlier, thereby resulting in users becoming less engaged, more concerned, and therefore still able to discard the platform, thus resolving the paradoxical situation