A cross-category analysis of dispositional drivers of technology adoption

Ratchford, Mark; Ratchford, Brian T.

doi:10.1016/j.jbusres.2021.01.037

Cited by 18 publications

(12 citation statements)

References 27 publications

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“…In addition, it is a frequent tendency by BIM scholars to interpret any form of software use as positive. Contrary to this, this study agrees with normative opinion in literature such as Bullini et al (2020) and Ratchford and Ratchford (2021) that a dependable FRA must focus on recognising mechanisms that may lead to software acceptance without a definitive justification of the goals. In addition, industry practitioners are described as pessimists for rejecting BIM without questioning their underlying considerations (Ramanayaka and Venkatachalam, 2015;Olatunji, 2014).…”

Section: Processes Of Solution Incubationsupporting

confidence: 91%

“…As explained later in this study, dispositional optimism (DO) (see Ratchford and Ratchford, 2021) and realistic optimism (see Bullini et al, 2020) are well-known examples of technology attitude scales. These could assist the inquirer to measure subjects' attitudes against objective statements.…”

Section: Process B: Evaluation Of Technology Acceptance Beyond Buildi...mentioning

confidence: 91%

“…Process B was carried out as a cross-disciplinary literature review to substantiate the relevance of technology attitude for FRA, where subjects are ill-structured and complex. Technology attitude in such matters is used to indicate the quality of executive decision as a whole (Ratchford and Ratchford, 2021). Notably, advanced technology implementation is influenced by social and cultural factors, which are ambiguous.…”

Section: Process B: Evaluation Of Technology Acceptance Beyond Buildi...mentioning

confidence: 99%

“…Although there are fruitful advancements in some countries where commitment to national BIM object libraries has grown remarkably, BIM drivers in these countries are still episodic, limited only to handbooks and generic guidelines at the pre-maturity phase. For interventions to become meaningful to industry adoption, it is incumbent to understand how decisions to accept or reject advanced technologies are made in the real world (Ratchford and Ratchford, 2021). Whilst this must be the utmost purpose of empirical studies targeting assessments of industry readiness, extant BIM literature has been criticised for their inattention towards practical relevance (Ahuja et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…Bullini et al. (2020) and Ratchford and Ratchford (2021) are instructive on this: they conclude “technology” attitude is a holistic variable that is suitable to assessing industry readiness, specifically in ill-structured scenarios. BIM attitude is underexplored on this (Murguia et al.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Motivating immersive BIM uptake through user attitude: analysis of initial solution using design science approach

Ramanayaka

Olatunji

Weerasuriya

2022

BEPAM

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PurposeBeyond a mandated use, rationales behind executive choice to accept or reject building information modelling (BIM) are ambiguous. BIM acceptance is complex for organisations, and existing decision-making models are impractical to make realistic choices. A practical solution must assist a holistic reflection of internal and external BIM success factors. Nevertheless, extant literature is largely focused on software use and awareness. Thus, this paper aims to suggest a novel framework for assessing firm readiness, aimed at facilitating BIM uptake.Design/methodology/approachExtant explanatory studies are inadequate in assessing the soft nature of BIM uptake. Thus, a design science research was employed as an alternative methodology. A means-end analysis was utilised for solution incubation, and cross-disciplinary reasoning, the strategy to establish valid solutions on firm readiness. Previous studies were reviewed on BIM, technology acceptance (generally) and complexity.Findings“Technology attitude” is presented as involving more holistic variables than a simplistic reliance on software use to mirror BIM acceptance. Technology acceptance model (TAM) is appropriate to explain BIM attitude attributes, but its current use is sub-optimal. Selective information processing and unconscious thought theory were integrated into TAM to explain attitude formation from multiple perspectives, resulting in a novel BIM attitude scale (BIMAS). Upon verification, the proposed framework will facilitate an objective authentication of biases that associate with BIM acceptance.Originality/valueWhilst BIM readiness is assessed largely with a primary focus on theory building, practical relevance must be at the forefront of BIM development. This study articulates that design science research can enhance the practical relevance of BIM adoption models. BIM acceptance attitude must be assessed through a verified scale contrary to the assessment of self-biases of executives in literature. BIMAS suggests a testable solution for this. Theory building research must be the future focus to enhance the relevance of this initial solution.

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Section: Processes Of Solution Incubationsupporting

confidence: 91%

Section: Process B: Evaluation Of Technology Acceptance Beyond Buildi...mentioning

confidence: 91%

Section: Process B: Evaluation Of Technology Acceptance Beyond Buildi...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Motivating immersive BIM uptake through user attitude: analysis of initial solution using design science approach

Ramanayaka

Olatunji

Weerasuriya

2022

BEPAM

View full text Add to dashboard Cite

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The Impact of Consumer Socioeconomic Status on Their Preferences for Human Versus Robot Service Agents in Luxury Shopping Contexts

Zhong,

Gao,

Xia

2024

J of Consumer Behaviour

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Service industries are increasingly utilizing service robots to substitute or collaborate with human service providers. Extant literature mainly focuses on studying the usability of service robots and found that consumers with high socioeconomic status (SES) have an advantage in adopting new technology, given their high educational level and abundant resources. However, little research has paid attention to the psychological preference of low SES consumers when facing the choice of service robots and human service agents. This research investigates how consumers' SES influences their concerns and expectations when facing interpersonal interactions in services and, in turn, affects their preferences for service agents (robot vs. human). Across four studies, we found that low SES consumers are more concerned of being evaluated by human service agents in luxury shopping contexts, leading to the preference for interacting with service robots. In contrast, high SES consumers display a higher expectation of receiving preferential treatment from human service agents, but it does not increase high SES consumers' preference for human service agents over service robots. Furthermore, we found that varying the service environment (i.e., a store located in a neighborhood matches with low SES consumers' status) attenuated low SES consumers' preference for service robots. This research offers novel insights for marketers' use of service robots to promote consumer experience and well‐being.

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