A Model of User Distrust of Information Systems

Distrust in information systems is an important phenomenon that has not been given adequate attention by researchers involved in trust research. The purpose of this paper is to apply existing theory to the phenomenon of distrust formation in an ongoing usage environment. The paper proposes that such key antecedents as distrusting beliefs and unmet expectations (toward information systems) affect levels of usage and help shape intentions to distrust the system. The paper also incorporates key technology acceptance model constructs to help capture additional user perceptions and intentions regarding use. Propositions put forth begin to examine distrust—the other side of the trust coin—of organizational information systems

Predicting Facebook Continuance Intention: The Roles of Interpersonal and Technology Trust

This paper examines trust’s role in predicting Facebook continuance intention. We examine the relative influence of two types of trusting beliefs including interpersonal-related trust beliefs and technology-related trust beliefs on technology trusting intentions. Interpersonal trusting beliefs include integrity, competence, and benevolence. Technology-related trusting beliefs include three conceptually similar, yet distinct beliefs including reliability, functionality, and helpfulness. We find that college-aged Facebook users’ interpersonal and technology-related beliefs have similar effects on trusting intentions. Thus the two types of beliefs are conceptually and functionally equivalent. Our results also show that trusting intention mediates the effects of trusting beliefs on continuance intentions. This initial study presents future research opportunities to explore the importance of these two types of trusting beliefs in other technology contexts

Paying Attention to News Briefs about Innovative Technologies

News sources about innovative technologies like Google’s driverless car and Apple’s Siri feature can help potential users evaluate the benefits and risks involved. However, individuals must pay attention to this information before they can make sense of it, and decide to change their technology trusting intention. While other fields investigate attention, no research to date has investigated why people pay attention to news briefs about innovative technologies. We propose four factors based on information processing theory. An exploratory study in which respondents are given a series of news briefs and asked how much they paid attention to them and why, provides support for four of our eight propositions. We find the strongest reasons for paying attention/(disregarding) the news briefs are the positive/(negative) nature of the news brief content characteristics. However, the biggest changes in trust are from positive and negative technology involvement factors

What is Trust? A Conceptual Analysis and an Interdisciplinary Model

Trust is a vital relationship concept that needs further conceptual analysis, not just empirical testing. Trust has been defined in so many ways by so many different researchers across disciplines that a typology of the various types of trust is sorely needed. This paper justifies and develops such an interdisciplinary typology and defines the constructs within the typology. These constructs, though defined at the personal level, are scalable to various levels of analysis and may be used in various trust situations, including IS/customer relations. Trust is central to interpersonal (Golembiewski & McConkie, 1975) and commercial (Morgan & Hunt, 1994) relationships. Trust is crucial wherever risk, uncertainty, or interdependence exist (Mayer, Davis & Schoorman, 1995; Mishra, 1996). These conditions flourish in many settings, and certainly exist in the relationship between Information Systems (IS) people and their customers. Trust has been found to be important to IS/customer performance (Nelson & Cooprider, 1996), and is also key in virtual teams (Jarvenpaa & Leidner, 1998) and e-commerce (Ba, Whinston & Zhang, 1999; Hoffman, et al., 1999; Jarvenpaa, Tranctinsky & Vitale, 1998; Noteberg, Christaanse & Wallage, 1999; Stewart, 1999). As conditions become more uncertain because of downsizing, mergers, and more complex business dealings, the need for trust grows (Mishra, 1996)

TRUST IN TECHNOLOGY: DEVELOPMENT OF A SET OF CONSTRUCTS AND MEASURES

Trust plays an important role in many Information Systems (IS)-enabled situations. Most IS research employs trust as a measure of interpersonal or interfirm relations, such as trust in a Web vendor or a virtual team member. Although trust in other people is important, this paper suggests that trust in the information technology (IT) itself may also play a role in shaping IT-related beliefs and behavior. To advance trust and technology research, this paper presents a set of trust in technology construct definitions and measures. These construct measures will be examined using tests of convergent, discriminant, and nomological validity. This study will contribute to the literature by offering a) a framework for distinguishing between trust in people and trust in technology, b) offering a theory based set of definitions necessary forminvestigating different forms of trust, and c) developing measures useful to research and practice for evaluating trust in technology

Do People Trust Facebook as a Technology or as a Person ? Distinguishing Technology Trust from Interpersonal Trust

Several researchers have studied technology trust in terms of the technological artifact of the technology. Two different types of trusting beliefs could apply to websites. First, the trusting beliefs may relate to interpersonal characteristics such as benevolence, competence, and integrity. Second, they may relate to technology characteristics such as helpfulness, functionality, and reliability. Since social networking websites like Facebook may demonstrate either interpersonal trust characteristics or technology trust characteristics, researchers may need to carefully choose the beliefs to model. Thus it is important to not only understand the conceptual meaning of these beliefs, but also whether human and technology trust beliefs of technology trust are distinct. Using data collected from Facebook users, we test alternate factor structures for a measurement model containing three interpersonal trust beliefs and three technology trust beliefs. We find the data fits a firstorder six-factor model the best. This suggests people can distinguish between trust in Facebook’s interpersonal and technology trust characteristics. it also shows they can distinguish between the individual components of these characteristics

Trust in Technology: An Empirical Examination of the Construct

In this study, we examine trust in the technology itself. We introduce and distinguish between trusting beliefs, trust in a technology vendor, and willingness to depend on a technology. Empirically, we integrate these constructs into existing innovation diffusion research and examine these constructs’ relationship with the ease of use (EOU), perceived usefulness (PU) and intention to explore technology. Our analysis suggests that (1) trusting belief in technology have a direct effect on EOU and PU, (2) trusting belief in a vendor influenced willingness to depend on a technology and (3) willingness to depend on a technology has a direct effect on PU and a mediated effect on intention to explore. Implications for research and practice are offered

Better Analysis by Analogy: Applying Data Modeling Techniques to Grounded Theory

When done well, grounded theory is an excellent qualitative research tool for explaining new or complex phenomena. Still, grounded theory is interpretative in nature, raising questions about the levels of reliability and validity in grounded theory studies. This paper argues that since grounded theory analysis methods are analogous to conceptual data modeling methods, data modeling techniques may be employed to enhance the validity and reliability of grounded theory research