Computing Science Studies

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    Factors that influence eBusiness adoption in selected districs in Tanzania
    (International Conference on eBusiness, eCommerce, eManagement, eLearning and eGovernance (2015): 1-19. Print., 2015) Komba, Mercy Mlay; Ngulube, P
    Purpose-Tanzania government has been making efforts to provide its information and services through internet. However, e-government adoption has been quite slow. Few publications explore e-government adoption in the Tanzanian context; therefore, this paper aims to assess factors that influence citizen adoption of e-government in Tanzania.Design/methodology/approach- A survey was administered to elicit factors for e-government adoption in Tanzania. Findings- The results of multiple linear regressions indicate that social influence and system quality significantly influence e-government adoption in Tanzania. Research limitation/implications- In light of these findings, researchers should conduct a similar study using other different e-government adoption models to identify more factors that influence e-government adoption in Tanzania. Practical implications- Policymakers and e-government project teams should consider these factors to facilitate e-government adoption within the
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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.
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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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    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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    Doing classic grounded theory research in information systems: trust in emergence
    (IGI Global, 2017) Tossy, Titus; Brown, Irwin; Lowe, Andy
    Grounded Theory (GT) is a latent pattern recognition research method that was developed by Barney Glaser and Anselm Strauss (1967). GT, which can use either quantitative or qualitative data, is a general research methodology and it produces empirically grounded but modifiable theory. Since the development of GT in 1967, some researchers have attempted to modify the original GT method, and remodelled GT approaches have been widely used in Information Systems (IS) research, often with unfortunate results due to disregard of the basic rules of the original GT. The continued use of remodelled GT methods has caused confusion and has prevented those in the IS research community from stimulating the development of new theory, which is the main benefit of using GT as it was originally outlined. Following publication of the original grounded theory by Glaser and Strauss (1967), Glaser (1978) went on to explain in detail how to operationalize the GT method. Despite this, some researchers mistakenly continued to classify GT as a subset of the qualitative data analysis research methodology. In doing so, they reveal that they have misunderstood both the purpose of GT and how to use it correctly. In this paper the author will concentrate on the authentic approach to GT, which is termed “Classic Ground Theory” (CGT), so as to differentiate it from any misconceived remodelled version of the theory. This paper explains how CGT can be carried out in an IS context by trusting in the emergence from the data of the required information, rather than forcing it.