Predicting the acceptance and use of information and communication technology by older adults

doi:10.1016/J.CHB.2017.06.013

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Predicting the acceptance and use of information and communication technology by older adults

Journal Article•DOI•

Predicting the acceptance and use of information and communication technology by older adults

Isabel Maria Macedo¹•Institutions (1)

University of Minho¹

01 Oct 2017-Computers in Human Behavior (Pergamon)-Vol. 75, pp 935-948

TL;DR: Evidence is provided in support of the validity of UTAUT2 as a relevant theoretical base to effectively explain behavioural intentions and ICT use among older adults.

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About: This article is published in Computers in Human Behavior.The article was published on 2017-10-01. It has received 214 citations till now. The article focuses on the topics: Expectancy theory & Population.

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Journal Article•DOI•

Factors influencing the adoption of mobile commerce applications in Cameroon

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Silas Formunyuy Verkijika¹•Institutions (1)

University of the Free State¹

01 Sep 2018-Telematics and Informatics

TL;DR: The findings showed that social influence, facilitating conditions, hedonic motivations, perceived risk and perceived trust were significant predictors of the behavioural intention to adopt m-commerce applications.

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142 citations

Journal Article•DOI•

A mixed methods UTAUT2-based approach to assess mobile health adoption

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Paulo Duarte¹, José Carlos Pinho²•Institutions (2)

University of Beira Interior¹, University of Minho²

01 Sep 2019-Journal of Business Research

TL;DR: In this article, the authors examined the number of causal recipes that foster mHealth adoption, using a mixed approach combining Partial Least Squares (PLS-SEM) and fuzzy-set qualitative comparative analysis.

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141 citations

Journal Article•DOI•

Unearthing antecedents to financial inclusion through FinTech innovations

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Prince Kwame Senyo¹, Ellis L.C. Osabutey²•Institutions (2)

University of Southampton¹, University of Roehampton²

01 Dec 2020-Technovation

TL;DR: In this article, the authors adopt the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) and the Prospect theory to understand the antecedents that influence users' behavior toward financial technologies.

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110 citations

Journal Article•DOI•

The use and acceptance of ICT by senior citizens: a comparison of technology acceptance model (TAM) for elderly and young adults

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Hacer Guner¹, Cengiz Acartürk¹•Institutions (1)

Middle East Technical University¹

01 Jun 2020-Universal Access in The Information Society

TL;DR: In this article, the authors focused on the use and acceptance of ICT by elderly citizens in comparison to younger adults by providing data from citizens living in Turkey, and reported data collected from 232 elderly participants (60-96 years old) and 235 younger adults (19-40 years old).

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Abstract: To become an information society, it is required that the citizens have access to information and communication technologies (ICT) in appropriate ways. ICT plays a major role to improve inclusion of various parts of the society (such as children, disabled citizens, and elderly) into daily life. According to reports of WHO, the world population is getting older. This urges the need for a systematic investigation of ICT needs of elderly citizens and potential problems being faced during the course of interaction with ICT interfaces. The present study focuses on the use and acceptance of ICT by elderly citizens in comparison to younger adults by providing data from citizens living in Turkey. It reports data collected from 232 elderly participants (60–96 years old) and 235 younger adults (19–40 years old). The findings of the study show that, both elderly and younger adults confirm the technology acceptance model (TAM) in a similar way. This was accompanied by elderly citizens’ need for assistance, encouragement and friendlier interface designs. The present study aims to contribute towards increasing awareness about the needs and expectations of elderly citizens and inspire further research on ICT use of the elderly population.

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91 citations

Cites background or methods from "Predicting the acceptance and use o..."

...That may be because the user intention is determined by several factors like social motives, perceived cost, expected short-term outcomes, selfefficacy and perceived need (Abdullah and Ward [1]; Chang and Cheung [11]; Macedo [40])....
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...In the case of senior citizens, it is also supported that perceived ease of use and perceived usefulness predict the intention [8, 40] as well as attitude [34, 56] on using ICT....
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...Therefore, TAM is a frequently employed model to systematically investigate the use and acceptance of ICT by elderly people [19, 40, 53]....
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...A systematic investigation of the use and acceptance of ICT by elderly is also more sophisticated than by younger adults due to the wider variety of education level, socioeconomic status, and physiological condition [25, 40, 42]....
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...Among those external variables, social influence, anxiety, facilitating conditions and self-satisfaction were included in the present study because those are most commonly used factors studied with the elderly population [39, 40]....
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Journal Article•DOI•

Investigating consumer intention to accept mobile payment systems through unified theory of acceptance model: An Indian perspective

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Kanishk Gupta, Nupur Arora

29 Nov 2019

TL;DR: In this article, the authors examined the impact of key antecedents of UTAUT2 on behavioral intention to accept and use mobile payment systems in National Capital Region, India.

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Abstract: The purpose of this paper is to examine the impact of key antecedents of unified theory of acceptance and use of technology model 2 on behavioral intention to accept and use mobile payment systems in National Capital Region, India.,A sample of 267 mobile payment system users in National Capital Region was obtained through an online survey. A partial least squares method was used to find out whether key antecedents of UTAUT2 predict behavioral intention to accept mobile payment systems which further predicts use behavior toward mobile payment systems.,The research substantiates that performance expectancy, effort expectancy, habit and facilitating conditions significantly predict behavioral intention, which in turn significantly predict use behavior to use mobile payment systems. Both social influence and hedonic motivation were weak predictors of behavioral intention.,The research substantiates that performance expectancy, effort expectancy, habit and facilitating conditions significantly predict behavioral intention, which in turn significantly predict use behavior to use mobile payment systems. Both social influence and hedonic motivation were weak predictors of behavioral intention.,The research substantiates that performance expectancy, effort expectancy, habit and facilitating conditions significantly predict behavioral intention, which in turn significantly predict use behavior to use mobile payment systems. Both social influence and hedonic motivation were weak predictors of behavioral intention.

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70 citations

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References

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Journal Article•DOI•

Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives

[...]

Li-tze Hu, Peter M. Bentler¹•Institutions (1)

University of California, Los Angeles¹

01 Jan 1999-Structural Equation Modeling

TL;DR: In this article, the adequacy of the conventional cutoff criteria and several new alternatives for various fit indexes used to evaluate model fit in practice were examined, and the results suggest that, for the ML method, a cutoff value close to.95 for TLI, BL89, CFI, RNI, and G...

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Abstract: This article examines the adequacy of the “rules of thumb” conventional cutoff criteria and several new alternatives for various fit indexes used to evaluate model fit in practice. Using a 2‐index presentation strategy, which includes using the maximum likelihood (ML)‐based standardized root mean squared residual (SRMR) and supplementing it with either Tucker‐Lewis Index (TLI), Bollen's (1989) Fit Index (BL89), Relative Noncentrality Index (RNI), Comparative Fit Index (CFI), Gamma Hat, McDonald's Centrality Index (Mc), or root mean squared error of approximation (RMSEA), various combinations of cutoff values from selected ranges of cutoff criteria for the ML‐based SRMR and a given supplemental fit index were used to calculate rejection rates for various types of true‐population and misspecified models; that is, models with misspecified factor covariance(s) and models with misspecified factor loading(s). The results suggest that, for the ML method, a cutoff value close to .95 for TLI, BL89, CFI, RNI, and G...

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76,383 citations

"Predicting the acceptance and use o..." refers methods in this paper

...Assuming a cut- 23 off value of 0.08, as proposed by Hu & Bentler (1999), the model presented in this study shows an acceptable fit (SRMR=0.068)....
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Journal Article•DOI•

The theory of planned behavior

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Icek Ajzen¹•Institutions (1)

University of Massachusetts Amherst¹

01 Dec 1991-Organizational Behavior and Human Decision Processes

TL;DR: Ajzen, 1985, 1987, this article reviewed the theory of planned behavior and some unresolved issues and concluded that the theory is well supported by empirical evidence and that intention to perform behaviors of different kinds can be predicted with high accuracy from attitudes toward the behavior, subjective norms, and perceived behavioral control; and these intentions, together with perceptions of behavioral control, account for considerable variance in actual behavior.

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65,095 citations

"Predicting the acceptance and use o..." refers methods in this paper

...The UTAUT (Venkatesh et al., 2003) is based on the theory of planned behaviour (TPB) (Ajzen, 1985; 1991), which states that a specific behaviour, such as use of technology, is preceded by behavioural intention....
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...Inspired by both the TPB-based view of habit (i.e. as stored intentions) and the automatic view of habit (i.e. as a direct link between stimulus and behaviour), habit is defined as a perceptual construct reflecting the results of prior experiences....
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...Moreover, drawing from TPB, it is possible to establish some conceptual parallels between the TPB construct of perceived behavioural control and facilitating conditions considered in UTAUT2 as a driver of intention....
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...Social influence, represented as a subjective norm in TAM, TRA and TPB, is defined as “the degree to which an individual perceives that the important others believe he or she should use the new system” (Venkatesh, et al., 2003: 451)....
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...TAM has its roots in the theory of reasoned action (TRA – Fishbein & Ajzen, 1975) and its extension, the theory of planned behaviour (TPB), which includes a third determinant of behavioural intention, perceived behavioural control....
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Journal Article•DOI•

Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

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Claes Fornell¹, David F. Larcker²•Institutions (2)

University of Michigan¹, Northwestern University²

01 Feb 1981-Journal of Marketing Research

TL;DR: In this paper, the statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined, and a drawback of the commonly applied chi square test, in additit...

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Abstract: The statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined. A drawback of the commonly applied chi square test, in addit...

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56,555 citations

"Predicting the acceptance and use o..." refers background or methods in this paper

...Average variance extracted (AVE) can be used as a criterion of convergent validity (Fornell & Larcker 1981)....
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...Individual composite reliability represents the shared variance among a set of observed variables measuring an underlying construct (Fornell & Larcker, 1981)....
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Journal Article•DOI•

Common method biases in behavioral research: a critical review of the literature and recommended remedies.

[...]

Philip M. Podsakoff¹, Scott B. MacKenzie¹, Jeong-Yeon Lee¹, Nathan P. Podsakoff²•Institutions (2)

Indiana University¹, University of Florida²

01 Oct 2003-Journal of Applied Psychology

TL;DR: The extent to which method biases influence behavioral research results is examined, potential sources of method biases are identified, the cognitive processes through which method bias influence responses to measures are discussed, the many different procedural and statistical techniques that can be used to control method biases is evaluated, and recommendations for how to select appropriate procedural and Statistical remedies are provided.

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Abstract: Interest in the problem of method biases has a long history in the behavioral sciences. Despite this, a comprehensive summary of the potential sources of method biases and how to control for them does not exist. Therefore, the purpose of this article is to examine the extent to which method biases influence behavioral research results, identify potential sources of method biases, discuss the cognitive processes through which method biases influence responses to measures, evaluate the many different procedural and statistical techniques that can be used to control method biases, and provide recommendations for how to select appropriate procedural and statistical remedies for different types of research settings.

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52,531 citations

"Predicting the acceptance and use o..." refers methods in this paper

...Ex post, Harman’s single-factor test was computed based on principal component analysis (PCA) (Podsakoff et al., 2003) and revealed seven components with eigenvalues greater than 1....
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...Ex post, Harman’s single-factor test was computed based on principal component analysis (PCA) (Podsakoff et al., 2003) and revealed seven components with eigenvalues greater than 1.0....
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Perceived Usefulness, Perceived Ease of Use, and User

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Perceived Usefulness, Fred D. Davis

01 Jan 1989

TL;DR: Regression analyses suggest that perceived ease of use may actually be a causal antecdent to perceived usefulness, as opposed to a parallel, direct determinant of system usage.

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40,975 citations

"Predicting the acceptance and use o..." refers background or methods or result in this paper

...In 1989, Davis developed the technology acceptance model (TAM; Davis, 1989; Davis, Bagozzi & Warshaw, 1989) to predict the potential users’ behavioural intention to use a new technological innovation....
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...It was originally conceptualised as “perceived ease of use” within TAM and aimed to assess the individual’s perception of the effort involved in learning and using a technology....
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...Similar results are found in previous research (Oh &Yoon, 2014; Pan & Jordan-Marsh, 2010; Porter & Donthu, 2006), which lends support to earlier claims (Davis, 1989) that effort expectancy plays a crucial role in technology acceptance....
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...…theoretical models have been proposed to predict and explain the acceptance and usage of technology, with particular reference to the technology acceptance model (TAM) (Davis, 1989) and to the unified theory of acceptance and use of technology (UTAUT) (Venkatesh, Morris, Davis & Davis, 2003)....
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...In essence, TAM theorizes that the use of a technology is influenced by two major beliefs: perceived ease of use (PEU) and perceived usefulness (PU)....
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