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Article
Publication date: 15 November 2011

Rachael Lindsay, Thomas W. Jackson and Louise Cooke

In light of a growing trend towards mobile information management and a UK governmental drive for police forces to implement mobile technologies and realise significant…

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Abstract

Purpose

In light of a growing trend towards mobile information management and a UK governmental drive for police forces to implement mobile technologies and realise significant benefits, it is important to examine the factors affecting officer acceptance. There appears to be little understanding of the key factors, yet this is critical to the success of the initiative. The purpose of this paper is to investigate the main factors that influence the usage of mobile technologies amongst police officers.

Design/methodology/approach

A qualitative, partially ethnographic design was followed to allow an in‐depth exploration of this issue. The study was based on a mixed‐methods longitudinal evaluation study of the implementation of mobile technologies within a UK police force over a nine‐month period. The technology acceptance model (TAM) and the subsequent TAM2 and TAM3, were then reengineered to provide a suitable theoretical model for a mobile policing context.

Findings

In total, four main categories of officer acceptance factors were identified: officer performance, security/reliability, management style and cognitive acceptance. Evidence from the study showed a key shortfall in all three versions of the TAM in that they focus on the user perspective and did not confirm the broader organisational factors within the implementation and social contexts of mobile policing.

Originality/value

Consequently, an adapted mobile‐TAM (m‐TAM) was produced that incorporated these factors into the existing TAM elements. The high‐level nature of the adapted model for mobile policing means it could be applied by other police forces and potentially other organisations, regardless of the type of mobile device implemented, to address the barriers to acceptance. The m‐TAM addresses the need for a more relevant and robust model to the mobile policing paradigm, which goes beyond the static technology environment in which the TAM2 and TAM3 were built.

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Article
Publication date: 4 November 2020

Luca Ferri, Rosanna Spanò, Gianluca Ginesti and Grigorios Theodosopoulos

This study aims to provide an empirically informed view on the auditing profession’s readiness to embrace “disruptive” technologies. Relying on evidence from Big 4…

Abstract

Purpose

This study aims to provide an empirically informed view on the auditing profession’s readiness to embrace “disruptive” technologies. Relying on evidence from Big 4 employees in Italy, this study examines the factors that motivate auditors to use blockchain technology (BT).

Design/methodology/approach

To this aim, this study uses an integrated theoretical frame merging the third version of the technology acceptance model (TAM3) and the unified theory of acceptance and use of technology (UTAUT). The analytical model is based on an application of the structural equation modelling with partial least square estimation on data gathered through a Likert-based questionnaire.

Findings

The findings reveal that the main predictors of auditors’ intention to use blockchain are performance expectancy and social influence. Moreover, auditors’ effort expectancy in relation to this technology implementation and use appears to be a reasonably reliable predictor.

Originality/value

This paper contributes an evidence-based view to the discussion on the impact of automation and disruptive information and communication technologies, on the roles of accounting and auditing professionals. It uses a novel approach to analysis by integrating TAM3 and UTAUT within its theoretical model. It complements and extends the field of studies on technology acceptance by offering fresh insights into auditors’ perceptions. Finally, the paper highlights practical implications for business leaders aiming to use the advantages of BT in audit firms.

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Meditari Accountancy Research, vol. 29 no. 5
Type: Research Article
ISSN: 2049-372X

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Article
Publication date: 9 May 2016

Nathalie T. M. Demoulin and Souad Djelassi

The purpose of this paper is to propose and test a comprehensive model that captures individual, system and situational drivers of customers’ intention to use and actual…

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4291

Abstract

Purpose

The purpose of this paper is to propose and test a comprehensive model that captures individual, system and situational drivers of customers’ intention to use and actual use of self-service technologies (SSTs).

Design/methodology/approach

This paper is based on a survey conducted among 143 users and 150 non-users of SSTs at the exit of a grocery store. The proposed model was analysed using structural equation modelling and a logistic regression.

Findings

The results demonstrate that: first, in addition to previous usage behaviour (i.e. usage frequency), situational factors (time pressure, basket size, coupons and queue length at the SSTs and staffed checkouts) influence customers’ decisions to use SSTs during a specific shopping trip; and second, perceived behavioural control is the most important determinant of behavioural intention, followed by perceived usefulness, need for interaction and perceived ease of use and enjoyment.

Originality/value

Although an abundance of research has investigated the adoption of SSTs, little is known about what drives real usage. This study considers the actual usage of SSTs in a specific context, as well as the situational factors that influence the choice of SSTs over traditional checkouts. In addition, this paper provides an integrative model including actual usage, use frequency and behavioral intention and its antecedents by extending the Technology Acceptance Model 3.

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International Journal of Retail & Distribution Management, vol. 44 no. 5
Type: Research Article
ISSN: 0959-0552

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Article
Publication date: 4 February 2014

Katja Gelbrich and Britta Sattler

The purpose of this paper is to propose and to test a model that illustrates the impact of technology anxiety on the intention to use a self-service technology (SST) in…

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4255

Abstract

Purpose

The purpose of this paper is to propose and to test a model that illustrates the impact of technology anxiety on the intention to use a self-service technology (SST) in public. The study includes two context variables that are relevant in public settings: perceived crowding and perceived time pressure.

Design/methodology/approach

A cross-sectional survey was conducted to reflect individual perceptions and intentions when initially using a self-checkout. The proposed relationships and interaction effects were examined using structural equation modeling.

Findings

The analysis confirms the core relationships of the model (technology self-efficacy→technology anxiety→perceived ease of use→ intention to use) and yields three important results. First, technology anxiety has a direct negative effect on intention to use, which is greater than the indirect effect through the reduction of ease of use. Second, perceived crowding reinforces the negative effect of technology anxiety. Third, when perceived crowding coincides with perceived time pressure, technology anxiety almost completely inhibits the intention to use the SST in public.

Research limitations/implications

Technology anxiety is examined as the only antecedent of perceived ease of use.

Practical implications

Initial encounters to public self-service technologies should be provided in servicescapes that avoid or at least reduce perceptions of crowding and time pressure.

Originality/value

The approach highlights the impact of technology anxiety on the acceptance of self-service technologies used in public by considering two context variables that are salient in public settings: perceived crowding and perceived time pressure.

Details

Journal of Services Marketing, vol. 28 no. 1
Type: Research Article
ISSN: 0887-6045

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Article
Publication date: 5 May 2015

Francisco Javier Rondan-Cataluña, Jorge Arenas-Gaitán and Patricio Esteban Ramírez-Correa

The purpose of this paper is to provide a complete and chronological view of the evolution of the main acceptance and use of technology models, from the 1970s to the…

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3813

Abstract

Purpose

The purpose of this paper is to provide a complete and chronological view of the evolution of the main acceptance and use of technology models, from the 1970s to the present day.

Design/methodology/approach

A comparison of partial least squares (linear model) and WarpPLS (non-linear model) has been run for each acceptation of technology model: TRA, TAM0, TAM1, TAM2, TAM3, UTAUT, UTAUT2. The data set collects the information of mobile internet users.

Findings

The authors have concluded that UTAUT2 model obtains a better explanation power than the rest of technology acceptance models (TAMs) in the sample of mobile internet users. Furthermore, all models have a better explanation power using non-linear relationships than the traditional linear approach.

Originality/value

The vast majority of research published to date with regard to the Theory of Reasoned Action (TRA), the Technology Acceptance Model (TAM), and the Unified Theory of Acceptance and Use of Technology (UTAUT) are based on structural equation models assuming linear relationships between variables. The originality of this study is that it incorporates non-linear relationships and compares the same models using both approaches.

Details

Kybernetes, vol. 44 no. 5
Type: Research Article
ISSN: 0368-492X

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Article
Publication date: 15 December 2021

Yin Shi, Liping Ding, Chenchen He, Fan Zhang, Zumeng Zhang and Qiyao Dai

This study aims to analyze those factors affecting the rural resident’s willingness to adopt solar photovoltaic (PV) which is important for accelerating the popularization…

Abstract

Purpose

This study aims to analyze those factors affecting the rural resident’s willingness to adopt solar photovoltaic (PV) which is important for accelerating the popularization of clean energy in China.

Design/methodology/approach

This study contained a sample of 653 households in 8 provinces/regions by stratified, and random sampling in rural China. Descriptive analysis, exploratory factor analysis and confirmatory factor analysis techniques have been used for analytical purposes.

Findings

The empirical results indicate that financial incentive and social interaction have positive effects on rural residents’ adoption willingness, while village leaders’ engagement can indirectly influence their adoption willingness through social interaction and residents’ cognition.

Research limitations/implications

This study mainly considers external and internal factors but ignores the effect of technical factors. In addition, the samples are just selected from the residents who have adopted solar PV.

Practical implications

This study is expected to be useful for the government, regulators, village leaders, village leaders and other institutions.

Originality/value

This study conducts a systematic analysis and clarifies the relationship between factors (external and internal) and rural residents’ adoption willingness. The village leaders’ engagement is first added to the conceptual model as an external factor, which is very essential in rural residents’ adoption in China.

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International Journal of Energy Sector Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1750-6220

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Article
Publication date: 26 June 2018

Majharul Talukder

Despite much research on organizations’ adoption of innovation, little is currently known about individual employees have gone about it. The purpose of this paper is to…

Abstract

Purpose

Despite much research on organizations’ adoption of innovation, little is currently known about individual employees have gone about it. The purpose of this paper is to empirically investigate the determinants that address individual employees’ decisions concerning innovation in the workplace.

Design/methodology/approach

Data were collected from 272 employees from a tertiary education institution in Australia using a structured instrument.

Findings

Results from the structural equation modeling analysis indicate that enjoyment and motivation impact significantly on attitudes to an innovation, which, in turn, affects how employees behave toward it.

Practical implications

Furthermore, organizational patronage, innovativeness and self-image have been found to influence the innovation adoption process. These findings have implications for the effective management and implementation of an innovation at the individual level.

Originality/value

Although innovation adoption has been studied extensively, drivers of adoption and research on individual innovation acceptance remain limited. Designing an effective approach for increasing end-user acceptance and subsequent use of innovation continues to be a fundamental challenge. The current literature indicates that we know relatively little about the ways in which individuals adopt and the factors that influence individual adoption of innovation. This study is designed to fill that gap. The identification of the factors is important to create a work environment that is conducive to individual adoption of innovation and thereby gain the expected benefits from the innovation.

Details

Business Process Management Journal, vol. 25 no. 4
Type: Research Article
ISSN: 1463-7154

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Article
Publication date: 22 June 2012

Youngim Bae and Hyunjoon Chang

This study aims to identify factors that determine the smart TV buying decisions of users and analyze the relationships among the factors by using Bayesian network approach.

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2323

Abstract

Purpose

This study aims to identify factors that determine the smart TV buying decisions of users and analyze the relationships among the factors by using Bayesian network approach.

Design/methodology/approach

This study investigates smart TV users' perception based on innovation diffusion theory (IDT) which includes five innovation attributes: relative advantage, compatibility, complexity, trialability, and observability. The authors employ Bayesian network to identify causal relationship among the innovation attributes and analyze the sensitivity of the intentions to changes in factors.

Findings

The results show that relative advantage has the greatest influence on the purchase intention of smart TV, followed by compatibility, entertainment, web‐browsing and n‐screen.

Research limitations/implications

The reliability of the results is limited as the survey is not carried out on a large number of samples. The study, however, suggests a future direction for smart TV in consumers' point of view.

Practical implications

According to the findings, companies should focus on enhancing relative advantage, rather than other attributes and entertainment service, to encourage the adoption of smart TV.

Originality/value

Smart TV is an evolving technology in the phase of market introduction. The definition and characteristics of smart TV are still uncertain. The previous literatures, however, were focused on the contents of smart TV and service, restructuring of broadcasting industry, and changes in the competitive landscape. The consumers have not been discussed in detail yet. This paper's contributions are twofold: first, it identifies important attributes for the adoption of smart TV in consumers' intention; second, it suggests a new methodology of Bayesian network in determining consumer buying factors.

Details

Industrial Management & Data Systems, vol. 112 no. 6
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 6 September 2021

Bishwajit Nayak, Som Sekhar Sekhar Bhattacharyya, Onkar Kulkarni and Syed Nawaz Mehdi

The purpose of this study is to identify antecedents of adoption and post-adoption switching of online pharmacy applications (OPA) in Indian society. A push-pull-mooring…

Abstract

Purpose

The purpose of this study is to identify antecedents of adoption and post-adoption switching of online pharmacy applications (OPA) in Indian society. A push-pull-mooring (PPM) model was formulated to evaluate the impact of various constructs upon “consumers’ switching intention” (CSI).

Design/methodology/approach

An online questionnaire was sent to 252 users of OPA in India. Hypotheses were generated to examine the push, pull and mooring effects of constructs developed. The relationships between dependent and independent variables were evaluated using structured equation modeling (SEM).

Findings

The study explicated the effect of PPM constructs on CSI in the context of OPA adoption. “Perceived usefulness,” “perceived ease of use” and “alternative attractiveness” had a significant “pull” effect on CSI. “Switching cost” had a “mooring” effect on CSI, whereas the degree of “customer involvement in decision-making” was found to have a “push” effect upon CSI.

Research limitations/implications

This study theoretically established that the constructs of “perceived usefulness,” “perceived ease of use” and “alternative attractiveness” had significant “pull” effect on “consumers’ switching intention.” The construct of “switching cost” had a “mooring” effect on CSI, whereas the degree of “customer involvement in decision-making” was found to have a “push” effect upon CSI.

Practical implications

The study provided valuable insights regarding consumer behavior regarding OPAs. These findings could be applied by managers in framing effective strategies to grow and retain the customer base of OPAs.

Originality/value

To the best of the authors’ knowledge, this was one of the first empirical investigative studies to assess precursors of adoption and post-adoption characteristics of consumer behavior through the PPM model, in the context of Indian OPAs.

Details

Journal of Engineering, Design and Technology , vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1726-0531

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Article
Publication date: 23 August 2013

Hsiu‐Fen Lin

The purpose of this study is to examine the impact of absorptive capacity (understanding, assimilating and applying u‐learning) perceptions on behavioral intention to use…

Abstract

Purpose

The purpose of this study is to examine the impact of absorptive capacity (understanding, assimilating and applying u‐learning) perceptions on behavioral intention to use u‐learning through path analysis and applies the technology acceptance model (TAM) as a theoretical foundation, simultaneously improving the model by adopting prior mobile experience as a meaningful moderator.

Design/methodology/approach

Data were collected from 212 students in Taiwan and various relationships in the research model were tested using the partial least squares approach.

Findings

The findings show that perceived usefulness and ease of use are determinants of student acceptance of u‐learning. Absorptive capacity (understanding, assimilating and applying u‐learning) perceptions influence perceived usefulness and ease of use of u‐learning. Additionally, assessment of the moderating effect of prior mobile experience on model relationships reveals insights into the determinants of behavioral intention to use u‐learning.

Practical implications

Personal absorptive capacity to understand, assimilate, and apply u‐learning affects student perceptions of usefulness and ease of use of u‐learning, which in turn influence usage intentions. Thus, students should be offered demonstrations of how to operate u‐learning. More importantly, training courses on various mobile and context‐aware services should be provided to students to equip them with comprehensive knowledge of u‐learning, improve their real‐world observational skills, reduce anxiety associated with u‐learning, and increase their confidence in using u‐learning.

Originality/value

Theoretically, while drawing upon the TAM, this study aims to provide a model that capable of understanding the determinants of behavioral intention to use u‐learning. From the practical perspective, the findings should provide further insight into student behaviors resulting, leading to more effective strategies for developing a u‐learning environment.

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