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. Keywords Trust Á Partner trust Á Resource sharing Á Behavioral trust Á Logistics collaboration This article is part of a focus collection on ''Dynamics in Logistics: Digital Technologies and Related Management Methods''.

Abstract. Modeling of trust sustainability and evolution among partners of a dynamic Virtual Organizations (VO) whose collaboration is already established, poses high challenge to such virtual co-working environment. Research in VOs has not established suitable modeling approaches for analyzing evolution and sustainability of rational trust and related assessment mechanisms for the collaboration which is already in progress. This is very necessary as it has now been proved that the base trust level acquired by VO partners during the VO formation is not static and cannot to remain constant over entire period of collaborative business execution. Thus proper modeling and analysis approaches for measuring the continuous changing of trustworthiness of organization need to be developed. This paper proposes approaches and mechanisms for modeling and assessment mechanism for supporting interorganizational trust sustainability and evolution.

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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.