An innovation resistance factor model

Ishak, Siti Salwa Mohd; Newton, Sidney

doi:10.5130/ajceb.v16i3.5164

Cited by 10 publications

(7 citation statements)

References 44 publications

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“…Prior researchers’ use of technology adoption models for understanding ICT in the construction industry has been criticized for concentrating on information systems adoption, while few studies have had a focus on adoption of tools and equipment (Sepasgozar et al , 2016). In their integrated resistance factor model, Ishak and Newton (2016) combine elements of diffusion of innovation, UTAUT and social network threshold theory. Their empirical findings indicate four significant constructs explaining user resistance, including compatibility and complexity.…”

Section: Literature Reviewmentioning

confidence: 99%

Site managers’ ICT tools for monitoring resources in refurbishment

Sezer

Bröchner

2019

ECAM

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Purpose The purpose of this paper is to analyse site managers’ ICT preferences for monitoring resource use in refurbishment projects. Design/methodology/approach Information and communication technologies (ICT) developments for the construction industry are increasing the scope for more efficient planning and monitoring of refurbishment projects. The analysis is based on the unified theory of acceptance and the use of technology model. After a short initial survey, a Swedish web/postal questionnaire has received 78 responses from refurbishment site managers, implying a 34 per cent response rate. Findings Managerial choices related to ICT depend more on perceived performance expectancy than on effort expectancy. Large projects and larger firms are associated with more extensive ICT use. Site managers see little need to link to refurbishment clients’ ICT systems. Performance expectancy and age are found to influence ICT choices. Practical implications Site managers play a crucial role in everyday use of ICT tools in the construction industry. The outcome of this investigation is useful for developing digital support, including applications of building information modelling, to improve refurbishment site practices. Originality/value Much has been written about ICT support for new construction practices, but not much attention has been paid to refurbishment site managers’ media choices.

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Section: Literature Reviewmentioning

confidence: 99%

Site managers’ ICT tools for monitoring resources in refurbishment

Sezer

Bröchner

2019

ECAM

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“…The study concluded that UTAUT provides the best predictive performance (Okpala et al 2021b). It is also important to note that very few studies complemented TAM with theories focused on inhibitors or resistance Wang et al 2020;Ishak and Newton 2016). While focusing on factors that encourage and enable the use of technology is worthwhile, investigating the inhibitors to technology acceptance through a theoretical lens is critical, especially in industries known to be resistant to innovation.…”

Section: Rq4: Models and Key Constructs For Assessing Technology Acce...mentioning

confidence: 99%

A systematic review of technology acceptance models and theories in construction research

Nnaji¹,

Okpala²,

Awolusi³

et al. 2023

ITcon

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Technology use in the construction industry fosters improvements in schedule, safety, cost, productivity, and quality. In this domain, the construction technologies adoption highly depends on stakeholders, who may exhibit some resistance to operational use. This underscores the importance of determining technology integration success using effective methods such as predictive and explanatory modelling. Although existing literature has provided some critical insight into the use of these models and theories, there is no domain-based synthesis on the utility of these models and theories as tools to facilitate the integration of emerging construction technologies. Therefore, this paper provides a systematic review and content analysis showcasing different methods and theories for investigating technology acceptance and generates insights expected to guide future technology acceptance studies. Using a three-phase systematic review process, 35 relevant articles were identified and analysed. This review identified perceived ease of use, perceived usefulness, social norm, attitude, perceived behavioural control, and facilitating conditions as key constructs impacting workers’ intention to accept a construction technology. TAM, TPB, and UTAUT were identified as popular choices for developing hybrid models, while UTAUT provided a relatively higher predictive power. Finally, seven areas for further exploration were discussed. This study contributes to construction knowledge by providing a better understanding of technology acceptance research and generating fundamental insights needed to develop robust and effective predictive and explanatory models for advancing technology acceptance research which would support successful technology integration.

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“…The presentation of resistance had the possibility to set the functional monarchies of a technology in the instant context of current work practices, it could be viewed as a fundamental mechanism to better sensed how users actually and are could respond to new technology innovations (Mohd Ishak and Newton, 2016). Resistance might accord when the innovation obstructs established routines, habits, traditions and norms or causes conflicts with consumers' views, values and faith of consumers.…”

Section: Innovation Resistance Theorymentioning

confidence: 99%

Uncovering the antecedents of trust in social commerce: an application of the non-linear artificial neural network approach

Alnoor

Al-Abrrow

Halbusi

et al. 2022

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Purpose The internet creates ample opportunities to start a mobile social commerce business. The literature confirms the issue of customer trust for social commerce businesses is a challenge that must be addressed. Hence, this study aims to examine the antecedents of trust in mobile social commerce by applying linear and non-linear relationships based on partial least squares structural equation modeling and artificial neural network model. Design/methodology/approach This study applied a non-linear artificial neural network approach to provide a further understanding of the determinants of trust in mobile social commerce based on a non-linear and non-compensatory model. Besides, a questionnaire was distributed to 340 social commerce customers in Malaysia. Findings The conceptual framework for investigating trust in mobile social commerce has various advantages and contributions to predicting consumer behavior. The results of the study showed there is a positive and significant relationship between social support, presence and unified theory of acceptance and use of technology2 (UTAUT2). In addition, UTAUT2 has fully mediated the relationship between social support, presence and trust in social commerce. Finally, the results concluded the relationship between UTAUT2 and trust in social commerce would be stronger when the diffusion of innovation and innovation resistance is high and low, respectively. Research limitations/implications The current study provides a novel perspective on how customers can trust social m-commerce to provide real solutions to managers of encouraging e-marketing among consumers. Practical implications This paper shows how businesses can develop trust in social m-commerce in Malaysian markets. The findings of this study probably could be extended to other businesses in Asia or other countries. Because trust in social e-commerce has a dynamic role in consumer behavior and intention to purchase. Originality/value This study provided a new perspective on mobile social commerce and paid more attention to an investigation of such emerging commerce. The originality of this study is embodied by investigating an integrated model that included different theories that presented new directions of trust in mobile social commerce through social and behavioral determinants.

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An innovation resistance factor model

Cited by 10 publications

References 44 publications

Site managers’ ICT tools for monitoring resources in refurbishment

Site managers’ ICT tools for monitoring resources in refurbishment

A systematic review of technology acceptance models and theories in construction research

Uncovering the antecedents of trust in social commerce: an application of the non-linear artificial neural network approach

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