Now showing 1 - 5 of 5
  • Publication
    Understanding the Development of Trust: Comparing Trust in the IT Artifact and Trust in the Provider
    (Academy of Management, 2016) ;
    Pavlou, Paul
    ;
    The importance of trust has been shown in numerous studies in the IS discipline, including but not limited to IT adoption and diffusion. Although researchers agree that trust is not only relevant for one-time interactions, but that trust develops gradually during an interaction and needs to be maintained over time, most studies rely on research designs that only capture a cross-sectional snapshot of trust development. We aim to address this gap in the trust literature by conducting a five-wave longitudinal field study to investigate how trust in a new IT artifact – a new student information system – and trust in the provider of the system emerges. The results of our latent growth modeling analysis indicate that trust in a new IT artifact develops as follows. First, the users confirm whether their level of initial trust was correct and adapt their level of trust accordingly. Next, the users start to build trust, resembled by a linear growth in trust. Finally, trust stops to increase and remains stable. Furthermore, this development does not vary comparing new and experienced users. For trust in the provider, the results differ between new versus experienced users. New users also confirm whether their level of initial trust was correct and adapt their level of trust in the provider accordingly. Next, new users start building trust, but the trust-building process is characterized by a quadratic growth. In contrast, for experienced users, we observed a constant linear growth throughout the study. Based on our results, a sixth stage called confirmation of initial trust should be added into the trust lifecycle in between the stages of initial trust building and trust building.
  • Publication
    Towards Trust-Based Software Requirement Patterns
    (IEEE, 2012-09-24)
    Hoffmann, A.
    ;
    Hoffmann, H.
    ;
    ;
    Users adopt trust to reduce social complexity that can be caused by the lack of knowledge about the inner working of an information system. Our aim is to translate results from trust research about the transformation of user trust in new technologies into software requirement patterns. Therefore, we collect antecedents that build trust, and develop requirement patterns that demand functionality to support these antecedents. This paper presents software requirement patterns consisting of the name, the goal, forces and the pre-defined requirement template that can be used to specify trust based requirements.
  • Publication
    Towards a Theory of Explanation and Prediction for the Formation of Trust in IT Artifacts
    (AIS Electronic Library (AISeL), 2011-12-04) ;
    Hoffmann, Axel
    ;
    Hoffmann, Holger
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    In this paper we argue that the predominant trust conceptualization in IS has a major weakness when researching trust in IT artifacts and that a theory of explanation and prediction for the formation of trust in IT artifacts is necessary to face the upcoming challenges. Thus, we motivate a trust conceptualization from the HCI discipline, and develop a formative measurement model for trust in IT artifacts to achieve deeper insights on the formation of trust. The results of our pre-study with 102 undergraduate students suggest that the new conceptualization is valueable for creating the desired insights on the formation of trust in IT artifacts. In an upcoming field experiment with about 250 users we expect to gain more detailed and reliable insights in the formation of trust in IT artifacts allowing us to derive a first theory of explanation and prediction for the formation of trust in IT artifacts.
  • Publication
    Towards a Formative Measurement Model for Trust
    ( 2010-06-20) ;
    Hoffmann, Axel
    ;
    Hirdes, Eike Maximilian
    ;
    Rudakova, Liudmila
    ;
    Leimeister, Stefanie
    ;
    IS research has shown the importance of trust in domains such as e-commerce or technology acceptance. Researchers also emphasize the importance of the identification of factors that influence trust. Unfortunately, the currently dominant reflective measurement does not offer these insights, and thus this contribution aims at developing a formative measurement model for trust. To achieve this, we address three research questions: a) How can trust be measured, considering trust and measurement theory? b) What indicators should be included in a formative measurement model for trust? c) What is the value of a formative measurement of trust compared to a reflective one? Our results show that the formative measurement model offers detailed insights on the impact of single factors influencing trust. We show that in our study, ability affects trust over twice as much other factors such as benevolence or trustor's propensity.