Critical determinants for electronic market adoption

Deng, Hepu; Duan, Sophia Xiaoxia; Feng, Lu

doi:10.1108/jeim-04-2019-0106

Cited by 26 publications

(16 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

Section: Methodsmentioning

confidence: 99%

“…It adopts a survey-based quantitative approach in the study. The adoption of such an approach is due to the confirmatory nature of this study in which specific relationships identified through the literature review need to be tested and validated using the data collected in a real situation (Creswell and Creswell, 2017;Deng et al, 2019). Survey is a technique for studying the cause of a phenomenon as well as the attitudes and behaviours of individuals with empirical evidence (Duan et al, 2012;Creswell and Creswell, 2017).…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Exploring privacy paradox in contact tracing apps adoption

Duan

Deng

2022

INTR

Self Cite

View full text Add to dashboard Cite

PurposeUnderstanding the privacy concerns of individuals in the adoption of contact tracing apps is critical for the successful control of pandemics like COVID-19. This paper explores the privacy paradox in the adoption of contact tracing apps in Australia.Design/methodology/approachA comprehensive review of the related literature has been conducted, leading to the development of a conceptual model based on the privacy calculus theory and the antecedent-privacy concern-outcome framework. Such a model is then tested and validated using structural equation modelling on the survey data collected in Australia.FindingsThe study shows that perceived benefit, perceived privacy risk and trust have significant influences on the adoption of contact tracing apps. It reveals that personal innovativeness and trust have significant and negative influences on perceived privacy risk. The study further finds out that personal innovativeness is insignificant to perceived benefit. It states that perceived ease of use has an insignificant influence on perceived privacy risk in the adoption of contact tracing apps.Originality/valueThis study is the first attempt to use the privacy calculus theory and the antecedent–privacy concern–outcome framework for exploring the privacy paradox in adopting contact tracing apps. This leads to a better understanding of the privacy concerns of individuals in the adoption of contact tracing apps. Such an understanding can help formulate targeted strategies and policies for promoting the adoption of contact tracing apps and inform future epidemic control through effective contact tracing for better emergency management.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Exploring privacy paradox in contact tracing apps adoption

Duan

Deng

2022

INTR

Self Cite

View full text Add to dashboard Cite

show abstract

“…There are numerous theories for exploring the adoption of specific technologies under various circumstances (Deng et al , 2019; Chau et al , 2020). Prominent theories for investigating individual-oriented technology adoption include the theory of reasoned action, the theory of planned behaviour, the diffusion of innovation theory, the technology acceptance model (TAM), UTAUT and UTAUT2 (Venkatesh et al , 2016).…”

Section: Theoretical Background and Research Modelmentioning

confidence: 99%

Hybrid analysis for understanding contact tracing apps adoption

Duan

Deng

2021

IMDS

Self Cite

View full text Add to dashboard Cite

PurposeThis study aims to explore the adoption of contact tracing apps through a hybrid analysis of the collected data using structural equation modelling (SEM) and artificial neural networks (ANN), leading to the identification of the critical determinants for the adoption of contact tracing apps in Australia.Design/methodology/approachA research model is developed within the background of the unified theory of acceptance and use of technology (UTAUT) and the privacy calculus theory (PCT) for investigating the adoption of contact tracing apps. This model is then tested and validated using a hybrid SEM-ANN analysis of the survey data.FindingsThe study shows that effort expectancy, perceived value of information disclosure and social influence are critical for adopting contact tracing apps. It reveals that performance expectancy and perceived privacy risks are indirectly significant on the adoption through the influence of perceived value of information disclosure. Furthermore, the study finds out that facilitating condition is insignificant to the adoption of contact tracing apps.Practical implicationsThe findings of the study can lead to the formulation of targeted strategies and policies for promoting the adoption of contact tracing apps and inform future epidemic control for better emergency management.Originality/valueThis study is the first attempt in integrating UTAUT and PCT for exploring the adoption of contact tracing apps in Australia. It combines SEM and ANN for analysing the survey data, leading to better understanding of the critical determinants for the adoption of contact tracing apps.

show abstract

“…The organization dimension (C 2 ) is concerned with the characteristics of an agribusiness for the adoption of an agriculture DSS [2,26,28]. Prior research tends to focus on the behavior of various stakeholders who are involved in the adoption of the agriculture DSS.…”

Section: Level 2 Criteriamentioning

confidence: 99%

A Multicriteria Analysis Approach for Evaluating the Performance of Agriculture Decision Support Systems for Sustainable Agribusiness

2021

Self Cite

View full text Add to dashboard Cite

Agriculture decision support systems (DSSs) play an important role in facilitating evidence-based agricultural decision-making for improving agribusiness productivity. Evaluating and selecting the most appropriate agriculture DSS for sustainable agribusiness is, however, challenging due to the existence of production and marketing alternatives, a variety of objective functions from economic to lifestyle to long-term sustainability, and the subjectiveness and imprecision involved in the evaluation process. To help decision makers effectively deal with these issues, this paper presents a multicriteria analysis approach for evaluating and selecting the most appropriate agriculture DSS for sustainable agribusiness. The subjective assessments of decision makers in the evaluation process are formulated using linguistic variables approximated by fuzzy numbers. The concept based on the positive and the negative ideal solutions is applied for producing a performance index value for every agriculture DSS alternative across all evaluation criteria based on which the most appropriate agriculture DSS is. An empirical study is presented for demonstrating the step-wise process for evaluating and selecting the most appropriate agriculture DSS for sustainable agribusiness. The outcome from the performance evaluation process allows agribusinesses to effectively adopt appropriate agriculture DSSs for achieving competitive advantages.

show abstract

Critical determinants for electronic market adoption

Cited by 26 publications

References 42 publications

Exploring privacy paradox in contact tracing apps adoption

Exploring privacy paradox in contact tracing apps adoption

Hybrid analysis for understanding contact tracing apps adoption

A Multicriteria Analysis Approach for Evaluating the Performance of Agriculture Decision Support Systems for Sustainable Agribusiness

Contact Info

Product

Resources

About