Evaluating the Role of Trust in Adoption: A Conceptual Replication in the Context of Open Source Systems

Silic, Mario; Barlow, Jordan B.; Bäck, Andrea

doi:10.17705/1atrr.00021

Cited by 10 publications

(12 citation statements)

References 46 publications

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“…Extant research suggests that benefits of IS investments are often obstructed by users' unwillingness to use the services (Venkatesh and Davis, 2000;Devaraj and Kohli, 2003). Seminal models like technology acceptance model (TAM) (Davis, 1989), unified theory of acceptance and use of technology (UTAUT) (Venkatesh et al, 2003;Michael et al, 2015) and Service Quality (SERVQUAL) (Parasuraman et al, 1988) are still widely used by companies to understand the factors affecting adoption of e-services and marketing strategies to increase penetration of those e-services (Iacovou et al, 1995;Singh and Pan, 2004;Curran and Meuter, 2005;Belanger and Carter, 2008;Lee, 2009;Oliveira and Martins, 2011;Seufert, 2012;Silic et al, 2018). However, consumers and markets have changed significantly over the years.…”

Section: Literature Reviewmentioning

confidence: 99%

Factors influencing adoption of e-services in rural India – perspectives of consumers and service providers

Ray

Bala

Dasgupta

et al. 2019

JIBR

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Purpose This paper aims to explore the consumers’ and service-providers’ perspectives on the factors influencing adoption of e-services in rural India. The purpose is to enable better diffusion of technology for societal development in this digital era. Design/methodology/approach Using qualitative-based multiple-participant interviews, this study explores the factors affecting e-service adoption from two different perspectives. While interviews were conducted in five villages with 14 respondents to find out the perspectives of the consumers, this study also explores the service-providers’ perspectives through interviews conducted among 11 managerial respondents. Findings Catering to personal needs, improving perceived usefulness, value-added options, data analytics for better understanding customers and improving service delivery of the e-service are the major factors identified by the service-providers. The study also concludes that convenience, compatibility, societal influence and availability of value-added addition of the e-service are decisive in e-service adoption from the perspectives of the consumers. Research limitations/implications The first limitation of this research is that there can be common method bias. Second, there were overlapping themes. Practical implications This study can help researchers working on the adoption of e-services in under-developed/developing countries. The findings of this study may help industries to focus on the determinants while designing the e-services for improving their rate of adoption. Social implications This study will help in better diffusion of e-services in rural areas, which in turn will help in societal development in this digital era. Originality/value The focus is on societal development through the adoption of e-services in rural areas. To the best of the knowledge of the researchers, no qualitative study has been performed to capture the perspectives of both the service-providers and the consumers on the adoption of e-services in India.

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Section: Literature Reviewmentioning

confidence: 99%

Factors influencing adoption of e-services in rural India – perspectives of consumers and service providers

Ray

Bala

Dasgupta

et al. 2019

JIBR

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“…Yet, the adoption and diffusion of IT depends on users’ trust in the given systems (Silic, Barlow & Back, 2018; Thatcher et al, 2011). Trust can be defined as the willingness to depend on and be vulnerable to an IS in uncertain and risky environments (Gefen, Benbasat & Pavlou, 2008; Mayer, Davis & Schoorman, 1995; Meeßen, Thielsch & Hertel, in press; Wang & Emurian, 2005).…”

Section: Trust In Information Systemsmentioning

confidence: 99%

“…Major steps have been made in understanding how people develop trust in such systems and specific software products (e.g., Li, Hess & Valacich, 2008; Silic, Barlow & Back, 2018). However, e-commerce and Web services are usually approached voluntarily, with end users acting in the role of customers (e.g., Beldad, De Jong & Steehouder, 2010).…”

Section: Trust In Information Systemsmentioning

confidence: 99%

“…From a business perspective, employees are usually expected to rely on IS in their work, but they often do not (e.g., Ash, Berg & Coiera, 2004; Butler & Gray, 2006), resulting in impairments and damages to the user, the client, and even the organization. For end users to accept and promote an IS in an organization, they must first trust it (e.g., Li, Hess & Valacich, 2008; McKnight et al, 2011; Silic, Barlow & Back, 2018; Thatcher et al, 2011). If employees trust in an IS, they will probably use it; if they distrust an IS, they will probably try to find ways to avoid it.…”

Section: Introductionmentioning

confidence: 99%

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Trust and distrust in information systems at the workplace

Thielsch

Meeßen

Hertel

2018

PeerJ

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Digitalization of work processes is advancing, and this is increasingly supported by complex information systems (IS). However, whether such systems are used by employees largely depends on users’ trust in these IS. Because there are few systematic studies on this topic, this research provides an initial exploration and validation of preconditions for trust in work-related IS. In Study 1, N = 30 professionals were asked to describe occupational incidents in which they had highly trusted or distrusted an IS. Content analysis of 111 critical incidents described in the in-depth interviews led to 12 predictors of trust and distrust in IS, which partly correspond to the structure of the established IS success model (Delone & McLean, 2003) but also exceed this structure. The resulting integrative model of trust in IS at work was validated in Study 2 using an online questionnaire with N = 179 professionals. Based on regression analyses, reliability (system quality) and credibility (information quality) of IS were identified as the most important predictors for both trust and distrust in IS at work. Contrasting analyses revealed diverging qualities of trust and distrust in IS : whereas well-being and performance were rated higher in trust events, experienced strain was rated higher in distrust events. Together, this study offers a first comprehensive model of trust in IS at work based on systematic empirical research. In addition to implications for theory advancement, we suggest practical implications for how to support trust and to avoid distrust in IS at work.

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“…Across online and offline contexts, this level of potential risk, complexity and uncertainty has the potential to significantly hamper exchange efforts [11]. This is particularly true in the early stages of interaction with a new technology [12] and even more so in the early stages of the technology adoption decision making process [13]. Although trust has the capacity to mitigate these issues, high levels of uncertainty and ambiguity have been shown to encourage intuitive and heuristic processing [14,15], where individuals make snap decisions without rational consideration of available information.…”

Section: Introductionmentioning

confidence: 99%

Building consumer trust in the cloud: an experimental analysis of the cloud trust label approach

et al. 2019

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The lack of transparency surrounding cloud service provision makes it difficult for consumers to make knowledge based purchasing decisions. As a result, consumer trust has become a major impediment to cloud computing adoption. Cloud Trust Labels represent a means of communicating relevant service and security information to potential customers on the cloud service provided, thereby facilitating informed decision making. This research investigates the potential of a Cloud Trust Label system to overcome the trust barrier. Specifically, it examines the impact of a Cloud Trust Label on consumer perceptions of a service and cloud service provider trustworthiness and trust in the cloud service and cloud service provider. An experimental study was carried out with a sample of 227 business decision makers with data collected before exposure to the label to examine initial perceptions and after exposure to the label to examine any change in perceptions and attitudes. As hypothesised, the results suggest that Cloud Trust Labels that contain positive information can have a positive impact on trust and trustworthiness while Cloud Trust Labels that contain negative information have a negative impact. The practical implications of this new method of communicating trustworthiness online are discussed and recommendations are made for future research.

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Evaluating the Role of Trust in Adoption: A Conceptual Replication in the Context of Open Source Systems

Cited by 10 publications

References 46 publications

Factors influencing adoption of e-services in rural India – perspectives of consumers and service providers

Factors influencing adoption of e-services in rural India – perspectives of consumers and service providers

Trust and distrust in information systems at the workplace

Building consumer trust in the cloud: an experimental analysis of the cloud trust label approach

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