Bring Your Own Device (BYOD) as reversed IT adoption: Insights into managers’ coping strategies

Barlette, Yves; Jaouen, Annabelle; Baillette, Paméla

doi:10.1016/j.ijinfomgt.2020.102212

Cited by 49 publications

(30 citation statements)

References 139 publications

(246 reference statements)

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“…The results of the Harman one-factor test showed that the total variance was less than 50%, indicating that CMB was not a concern in this study (Podsakoff et al, 2003). Furthermore, the path coefficients and correlation of the constructs obtained from the structural model assessment had varying degrees of significance (Barlette et al, 2021;Williams, 2021). These results suggested that CMB was not a problem in data.…”

Section: Common Methods Biasmentioning

confidence: 62%

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Exploring Trust Formation and Antecedents in Social Commerce

Alkhalifah

2022

Front. Psychol.

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With the rapid increase in social media users and netizens globally, the proclivity for online shopping using social commerce (SC) platforms cannot be ignored. Trust has been recognised as a constant challenge in the context of social commerce due to the lack of face-to-face interaction. Therefore, there is a dire need to enhance the trust of consumers in social commerce platforms. However, the research in the formation of trust in social commerce and antecedents remains limited. In addition, the existing SC research failed to include its multidimensional view to investigate user behaviour. This study fills this gap and extends existing knowledge by developing a model exploring the antecedents of trust in social commerce. Drawing upon the social-technical theory and trust lens, this study attempts to identify the role of (i) structural assurance (SA) and SC platforms as an institution-based trust, (ii) trust in sellers and trust in SC community as trusting beliefs, and (iii) trust in online payment as a cognitive trust on trust and intention of the social commerce. This research employs a dataset (n = 406) collected using an online survey; the research subjects were recruited from Australia, the United States, and the United Kingdom. This study uses the partial least squares structural equation modeling (PLS-SEM) approach to analyse the data and to confirm the hypothesis proposed in the research model. The empirical findings show that trust in social commerce influences behavioural intention. In addition, trust in the SC platform, the SC community, and online payment influence the trust in SC. Likewise, SA and trust in the SC platform have a significant relationship with trust in sellers, the SC community, and online payment. Finally, this study discusses the theoretical contributions and practical insights to several limitations and suggests directions for future research.

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Section: Common Methods Biasmentioning

confidence: 62%

“…This study implemented some methods to assess and mitigate the influence of common method bias (CMB), as recommended by Barlette et al (2021). A priori procedural remedy by Podsakoff et al (2012) was included.…”

Section: Common Methods Biasmentioning

confidence: 99%

Exploring Trust Formation and Antecedents in Social Commerce

Alkhalifah

2022

Front. Psychol.

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“…The study findings may be vulnerable to common method bias (CMB), as survey data were self-reported, and behavior was not quantified as it was based on users' self-assessment ( 124 ). As a result, some methods were implemented to evaluate and mitigate the potential for CMB, as recommended by ( 125 ). To be specific ( 126 ), priori procedural remedies were incorporated.…”

Section: Methodsmentioning

confidence: 99%

Examining the Prediction of COVID-19 Contact-Tracing App Adoption Using an Integrated Model and Hybrid Approach Analysis

Alkhalifah

Bukar

2022

Front. Public Health

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COVID-19 contact-tracing applications (CTAs) offer enormous potential to mitigate the surge of positive coronavirus cases, thus helping stakeholders to monitor high-risk areas. The Kingdom of Saudi Arabia (KSA) is among the countries that have developed a CTA known as the Tawakkalna application, to manage the spread of COVID-19. Thus, this study aimed to examine and predict the factors affecting the adoption of Tawakkalna CTA. An integrated model which comprises the technology acceptance model (TAM), privacy calculus theory (PCT), and task-technology fit (TTF) model was hypothesized. The model is used to understand better behavioral intention toward using the Tawakkalna mobile CTA. This study performed structural equation modeling (SEM) analysis as well as artificial neural network (ANN) analysis to validate the model, using survey data from 309 users of CTAs in the Kingdom of Saudi Arabia. The findings revealed that perceived ease of use and usefulness has positively and significantly impacted the behavioral intention of Tawakkalna mobile CTA. Similarly, task features and mobility positively and significantly influence task-technology fit, and significantly affect the behavioral intention of the CTA. However, the privacy risk, social concerns, and perceived benefits of social interaction are not significant factors. The findings provide adequate knowledge of the relative impact of key predictors of the behavioral intention of the Tawakkalna contact-tracing app.

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“…It can be accessed everywhere and anytime. Some researchers have investigated the effect of BYOD on both companies and academics (Barlette, Jaouen, & Baillette, 2021;Disterer & Kleiner, 2013). Their investigation stated the term or slogan BYOD gives a better contribution to their institution due to reduced operational costs.…”

Section: Implementing Bring Your Own Device (Byod)mentioning

confidence: 99%

Learner’s perception of task difficulties in technology-mediated task-based language teaching

Butarbutar

2021

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The perception of learners can be used for evaluating task-based language teaching development. However, during the technology-mediated task-based language teaching (TBLT), learners faced a few difficulties. Thus, this study aimed to investigate learners’ perceptions of task difficulties in technology-mediated (TBLT). To collect data, the study used a quantitative design with an open-ended questionnaire, and, involved two hundred learners as participants who came from different departments at the university. The results strongly confirmed that incorporating technology into TBLT leads learners to face some difficulties in (1) understanding the meaning of the task, (2) practical instruction in doing tasks, (3) applying new technology to explore profound tasks further, (4) lack of direct lecturer feedback on student tasks, (5) performance assessment, (6) addressing learners’ needs, (7) goal orientation, (8) digital literacy, building knowledge, intellectual, and behavior, and (9) school and curriculum rules. Furthermore, the study preferred some strategies to solve learners' difficulties in TBLT, such as managing teaching materials to become easier and more interesting, referring technology integration to learners’ ability, implementing bring your own device (BYOD), improving classroom assessment, teachers broadening technology-mediated, task-based learning internships, and facilitating learners with compatible technology tools and stable internet connection.

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Bring Your Own Device (BYOD) as reversed IT adoption: Insights into managers’ coping strategies

Cited by 49 publications

References 139 publications

Exploring Trust Formation and Antecedents in Social Commerce

Exploring Trust Formation and Antecedents in Social Commerce

Examining the Prediction of COVID-19 Contact-Tracing App Adoption Using an Integrated Model and Hybrid Approach Analysis

Learner’s perception of task difficulties in technology-mediated task-based language teaching

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