Technology readiness: a meta-analysis of conceptualizations of the construct and its impact on technology usage

Blut, Markus; Wang, Cheng

doi:10.1007/s11747-019-00680-8

Cited by 321 publications

(272 citation statements)

References 95 publications

(153 reference statements)

Supporting

Mentioning

245

Contrasting

Unclassified

Order By: Relevance

“…Finally, this study focused only on three demographic variables (i.e., gender, major of study, and computer ownership), which are among the important variables that may have a role in students' readiness for a technology-based learning environment, such as CSCL. Future research can study the possible roles of other variables, such as age, previous experience, education, nationality, and cultural values [97,98], in students' readiness for CSCL.…”

Section: Limitations and Suggestions For Further Researchmentioning

confidence: 99%

Higher Education Students’ Perceived Readiness for Computer-Supported Collaborative Learning

Khalifeh

Noroozi

Farrokhnia

et al. 2020

MTI

View full text Add to dashboard Cite

The purpose of this research was to study the perceived readiness of higher education students for computer-supported collaborative learning (CSCL). Moreover, the role of important demographic variables, such as gender, major of study, and computer ownership, was examined in students' perceived readiness and its sub-scales. The data was collected from 326 higher education students of four study groups from a state university in Iran. MANOVA analysis was conducted to explore the possible role of the demographic variables in students' perceived readiness for CSCL. Most of the participants showed high readiness for CSCL. The male participants demonstrated more online learning aptitude compared to females. A statistically significant difference was found in the online learning aptitude of the respondents majoring in engineering and basic sciences with the rest of the participants. Furthermore, the students with a personal computer, laptop, or tablet demonstrated higher levels of readiness for CSCL and online learning aptitude.

show abstract

Section: Limitations and Suggestions For Further Researchmentioning

confidence: 99%

Higher Education Students’ Perceived Readiness for Computer-Supported Collaborative Learning

Khalifeh

Noroozi

Farrokhnia

et al. 2020

MTI

View full text Add to dashboard Cite

show abstract

“…In the literature, TR is either considered important that warrant further usage or one that is ignored by researchers due to its insignificance. Blut and Wang (2019) for instance, are the proponents of TR as an important concept which is useful in linking people's behaviour in technology adoption. As they argue, the results from the investigation between TR and adoption are useful to marketers in identifying segments of customers that are ready or not ready to adopt new technology.…”

Section: Importance and Neglect Of Trmentioning

confidence: 99%

“…This view emerged as TR is observed to be not popular and is still not as widely applied by researchers in comparison to other adoption theories like the technology acceptance model (TAM) or diffusion of innovation (DOI) theory (Humbani, 2018). The neglect of TR may be due to criticism of the inconsistency of TR's influence on technology use (Blut & Wang, 2019;Lundberg, 2017). According to Blut and Wang (2019), past studies' findings in regards to TR and technology usage relationships have often been found to be inconsistent with some studies that showed significant support in the relationships tested (e.g.…”

Section: Importance and Neglect Of Trmentioning

confidence: 99%

“…The neglect of TR may be due to criticism of the inconsistency of TR's influence on technology use (Blut & Wang, 2019;Lundberg, 2017). According to Blut and Wang (2019), past studies' findings in regards to TR and technology usage relationships have often been found to be inconsistent with some studies that showed significant support in the relationships tested (e.g. Shirahada, Ho, & Wilson, 2019;Prodanova, Martin, & Jimenez, 2018) while others showing weak or even non-significant support for the relationships (e.g.…”

Section: Importance and Neglect Of Trmentioning

confidence: 99%

“…The inconsistent findings have resulted in calls made to researchers to further investigate the use of the TR concept in various studies (Lundberg, 2017;Parasuraman & Colby, 2001); for instance, to make an assessment on whether TR has a relationship with technology usage (Blut & Wang, 2019); or to make an examination on whether individual's belief towards technology (such as TR) will influence their behavioural intention (Chiu & Cho, 2020). According to Pham et al (2020), there is a gap in the literature on the application of TR with technology usage intention (such as online purchase intention) with a lack of studies that examine the relations between TR and technology usage intention rather than actual adoption.…”

Section: Importance and Neglect Of Trmentioning

confidence: 99%

See 2 more Smart Citations

A Review on Technology Readiness Concept to Explain Consumer’s Online Purchase Intention

Ismail

Wahid

2020

IJIM

View full text Add to dashboard Cite

Recently in Malaysia, a substantial number of consumers have been found to be avoiding online shopping as they prefer to shop in physical stores. This scenario brings up the issue of whether Malaysian consumers are ready technologically to shop online. To tackle this issue, a review of the concept of technology readiness is made to help explain Malaysian consumers’ online purchase intention behaviour. Technology readiness is chosen here because the concept reflects an individual’s predisposition in the usage and adoption of new technology. For the purpose of this review, this study selects technology readiness concept as proposed by Parasuraman (2000). From the review, this study found that technology readiness has been measured in the past either as a single (unidimensional) or a multidimensional construct involving four factors, namely, optimism, innovativeness, discomfort and insecurity. A summary on past researchers’ findings in identifying the relationship between technology readiness (and its proposed dimensions) with technology usage is included in this review. For example, technology readiness was found to have a significant influence on behavioural intention in using mobile commerce to purchase travel-related service. Additionally, technology readiness motivator (optimism and innovativeness) and inhibitor (discomfort and insecurity) were identified to be related to intention to use technology. Based on the review, this study proposes a model to help explain the user’s intention to purchase online situation. In the proposed model, both technology readiness motivators and inhibitors are suggested to show positive and negative influences respectively on the user’s intention to purchase online. This review is thought to be beneficial to many. For instance, researchers would find insights on the usefulness of technology readiness and on how it has been and can be applied for further investigation. As for marketing practitioners, the review would help guide them understand the influence technology readiness has on consumers behaviour intention in adopting online shopping which they could apply for future marketing strategy.

show abstract

Expectations and beyond: The nexus of AI instrumentality and brand credibility in voice assistant retention using extended expectation‐confirmation model

Ghazali,

Mutum,

Lun

2023

J of Consumer Behaviour

View full text Add to dashboard Cite

AI‐based voice assistants (AIVA) are capable of interpreting human speech and responding with useful information, aiding with tasks, and controlling other devices. The usage of these AIVAs has grown significantly worldwide. Despite this growth, studies on user behavior related to continued usage intention of AIVAs and effects on the long‐term commercial sustainability of brands, remain low. What is less understood is the potential of AI instrumentality attributes and brand credibility components in provoking shifts in post‐use behavior of AIVAs. This study proposes a model which expands on the Expectation‐Confirmation Model for user continuance behavior of AIVAs, by integrating user's technology related traits, AI instrumentality attributes and brand credibility. To verify the research hypotheses, the study employed partial least square—structural equation modelling, based on 281 validated responses of a survey. This study highlights the significance of Optimism, Innovativeness, and Discomfort for post‐adoption confirmation. Higher post‐adoption confirmation is strongly associated with perceived intelligence, anthropomorphism, information quality, and system quality. Anthropomorphism and information quality are key factors for brand expertise, while anthropomorphism and system quality are significant for brand trustworthiness. The study confirms that brand expertise and trustworthiness lead to post‐use satisfaction and use continuance intention. Understanding the antecedents of satisfaction and continuance intention extends the existing literature on AIVAs and provides valuable insights for academics and practitioners alike. Some implications for researchers and managers are discussed.

show abstract

Technology readiness: a meta-analysis of conceptualizations of the construct and its impact on technology usage

Cited by 321 publications

References 95 publications

Higher Education Students’ Perceived Readiness for Computer-Supported Collaborative Learning

Higher Education Students’ Perceived Readiness for Computer-Supported Collaborative Learning

A Review on Technology Readiness Concept to Explain Consumer’s Online Purchase Intention

Expectations and beyond: The nexus of AI instrumentality and brand credibility in voice assistant retention using extended expectation‐confirmation model

Contact Info

Product

Resources

About