Computing Science Studies

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Browsing Computing Science Studies by Author "Hauge, Jannicke"

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    A trust framework for agents’ interactions in collaborative logistics
    (Springer International Publishing, 2017) Daudi, Morice; Hauge, Jannicke; Thoben, Klaus-Dieter
    Trust is an essential factor for successful resource sharing in logistics. To build and sustain trust among collaborating partners in logistics requires, amongst others, conceptualizing on various aspects constituting underlying mistrusts. The conception is achieved by setting up a framework describing trust-based collaborative interactions of these partnering entities, referred to as agents. This research establishes a trust framework addressing agents’ trustworthy interactions and thus aims at overcoming a knowledge gap identified in the literature. The framework depicts trust-based interactions concentrating to sharing of vehicle capacities. The trust framework is conceived on a foundation of theoretical body of knowledge in the literature. It engages knowledge on collaborative networks, logistics and transportation, agent behavior as well as trust. This research contributes by identifying key agents together with their roles, characteristics, tasks, information exchange as well as perceptions; all of which linked to agent trust. The framework is reusable in many ways, including formal conception of models aspiring to empirically investigate trust amongst agents sharing logistics resources. It also provides more understanding to practitioners, especially on issues relating to compromising differences resulting from agent’s perspectives.
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    Behavioral factors influencing partner trust in logistics collaboration: a review
    (Springer Berlin Heidelberg, 2016) Daudi, Morice; Hauge, Jannicke; Thoben, Klaus-Dieter
    Logistics collaboration has emerged a prevalent strategy to mitigate challenge individuals and organizations encounter. A successful collaboration, however, depends on certain trustworthy behaviors partner exhibit. To that end, understanding aspects constituting behavioral uncertainty and mechanisms by which such aspects affect partner trust is a necessary. This necessity counts on emergent behavioral trust uncertainties, constituted by partner’s actions and interactions occurring during collaboration. While this is a necessary requirement, most of the studies in the literature lack to take into account the influence of behavioral uncertainty on collaboration and partner trust. To that effect, this paper uncovers outlined limitation by establishing behavioral factors influencing partner trust in operational stage of logistics collaboration. To accomplish this objective, a systematic literature review (SLR) is deployed to consolidate research domains of logistics, supply chain, collaboration, and trust. SLR proceeds by defining a review protocol, followed by a search process conducted in 5 databases using 20 search terms on articles published between 2001 and 2015 inclusively. Among findings this SLR has revealed are four behavioral factors and thirteen criteria proposed to affect partner trust. Additionally, these factors constitute success and measurable criteria needed for empirical investigation which may employ experimental and/or case-study methods. Moreover, synthesized factors extend further an understanding of behavioral trust in ad hoc collaborative networks, a large part of which being supported by networks of humans and computers.
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    Effects of decision synchronization on trust in collaborative networks
    (Springer International Publishing, 2016) Daudi, Morice; Hauge, Jannicke; Thoben, Klaus-Dieter
    In collaborative networks, individual and organizational entities encounter many disagreements over many decisions rights. These disagreements procreate conflicting preferences, which in turn, affect trustworthy amongst partners. To that end, it becomes necessary that partners assume a degree of fairness on decision rights by calibrating positions which they initially consider a final. This calibration involves synchronizing partners’ conflicting preferences to a compromise. The objective of this paper, therefore, is to analyze and evaluate the effect of both, compromised and uncompromised preferences on trust. To achieve this, a corresponding behavioral trust model is proposed and evaluated empirically using a logistics collaboration scenario. This evaluation applies a multi-agent systems simulation method. The simulation involves 360 observations with three preferences set as predictor variables. Results show that irrespective of a degree to which conflicting preferences are synchronized, a magnitude of the generated effect on trust, depends as well on other factors like transport cost and extent to which vehicles are loaded. Additionally, if other factors are kept constant, compromised preferences affects trust more positively than uncompromised ones.
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    Influence of information sharing behavior on trust in collaborative logistics
    (Springer International Publishing, 2017) Daudi, Morice; Hauge, Jannicke; Thoben, Klaus-Dieter
    Collaborations are based on mutual trust to strengthen confidence in the sharing of various resources such as information. Particularly in logistics, collaborations benefit emerged rich-data environments to successfully manage demand fluctuation and visibility of in-store logistics; as well as the sharing of physical assets. Shared information is gathered from various sources and manipulated by specific partner to match or maximize individual payoff. Such information may become vulnerable to information sharing behavior of the partner to henceforth affect trust. This paper investigates the influence of the information sharing behavior on trust. It focuses on a dimension of information accuracy to answer a research question: how do information sharing behaviors of partner affect trust in logistics collaboration? A framework of information behavior is established, and subsequently a trust model specified. Afterwards, simulation experiments are conducted to observe resulting impacts. Results unveil that both, the positively and negatively manipulated information influence trust in similar magnitudes. It is further argued that partner’s deceitful behavior underlying information sharing can be reduced although it might be difficult to eliminate.
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    On analysis of trust dynamics in supply chain collaboration
    (International Conference on Information Systems, 2016) Daudi, Morice; Hauge, Jannicke; Thoben, Klaus-Dieter
    Trust is an essential asset to support Supply Chain Collaboration (SCC), and it is a complex construct of dynamic nature. This dynamic behavior stems from trust ability of changing forms or states over time. Due to this dynamicity, SCC requires that the partners have a clear understanding of how trust changes throughout the lifetime of their alliances. This understanding is necessary in building and maintaining trustworthy relationships in dynamic environments. However, the authors have found no framework that sufficiently describes trust dynamics in SCC. Thus, this research presents the first approach toward a holistic framework describing trust dynamics by considering distinct dimensions, forms, states and roles of trust. The trust framework describing aspects attributing to trust dynamics is applied in an industrial case involving change events accruing to trust dynamics.