A Contextualized Acceptance Model for Proactive Smart Services

Graf-Drasch, Valerie; Röglinger, Maximilian; Wenninger, Annette; Hosseini, Sabiölla

doi:10.1007/s41471-022-00139-7

Cited by 3 publications

(2 citation statements)

References 127 publications

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“…This study found that HV has a significant positive effect on the intention of elderly adults to use wearable devices, which can be explained by previous work on the relationship between hedonic value and consumer postconsumer feelings ( 60 ). Our findings are consistent with those of previous studies because the higher the hedonic value felt by elderly adults when using wearable devices ( 61 ), the more positive emotions are generated, thus promoting their wearable device use behaviors.…”

Section: Discussionsupporting

confidence: 93%

Research on elderly users' intentions to accept wearable devices based on the improved UTAUT model

Chen

Wang²,

Zhou³

et al. 2023

Front. Public Health

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IntroductionAs the proportion of the world's elderly population continues to increase, wearable devices can provide ideas for solving a series of problems caused by population aging. Therefore, it is of great significance for the development of intelligent elderly care and the improvement of the quality of elderly care services to explore the factors that influence the intention of elderly users to accept wearable devices.MethodsAn improved unified theory of acceptance and use of technology (UTAUT) model is constructed from the perspective of elderly individuals, and new parameters are added, including four factors related to wearable devices, including performance expectancy, perceived cost, hedonic value and aesthetic appeal, and three factors related to elderly individuals, including personal physiological conditions, health anxiety and personal innovativeness in information technology. The data analysis was accomplished with the partial least square regression structural equation modeling.ResultsThe findings of this study revealed that performance expectancy, perceived cost, hedonic value and aesthetic appeal all have significant impact on elderly users' intention to use wearable devices. Furthermore, personal innovativeness in information technology, personal physiological condition, and intention to use all have significant impact on elderly users' actual usage behavior of wearable devices. However, there is no obvious relationship between health anxiety and actual usage behavior.DiscussionElderly adults' attention to wearable devices plays an important role in the development of the wearable device-related industry chain, which provides management suggestions for stakeholders.

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Section: Discussionsupporting

confidence: 93%

Research on elderly users' intentions to accept wearable devices based on the improved UTAUT model

Chen

Wang²,

Zhou³

et al. 2023

Front. Public Health

View full text Add to dashboard Cite

show abstract

“…This result is in line with the previous study by Ref. [ 45 ]; who found that consumers who perceive the benefits of a product are more inclined to be willing to pay for it.…”

Section: Discussionsupporting

confidence: 92%

Modelling the mass consumption potential of Plant Based Meat: Evidence from an emerging economy

Yang,

Reza,

Yang

et al. 2024

Heliyon

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How Digital Twins Impact Responsiveness: A Dynamic Fit Approach to Information Processing for High-Involvement Product Demand Management

Oehlschläger,

Glas,

Eßig

2024

Schmalenbach J Bus Res

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In an era of rapidly evolving customer demands and technological advancements, organisations face mounting pressure to enhance their responsiveness. Digital Twins offer novel capabilities by providing comprehensive transparency on customer demands through dynamic and interactive links between real-world entities and their digital counterparts. As a result, Digital Twins have the potential to enable organisations to respond more swiftly and effectively to fluctuating customer demands across volume, process, and product dimensions. However, Digital Twins still lack empirical explorations and theoretical embedment, leading to conceptual ambiguity. Through a case study approach, the study integrates Digital Twins into the framework of Organisational Information Processing Theory (OIPT). Empirical evidence proposes that Digital Twins offer a spectrum of capabilities rather than a one-size-fits-all solution. The findings further emphasise the need for aligning Digital Twin sophistication levels with Information Processing Needs and Constraints, highlighting that the dynamic interplay between Digital Twin advancements, Information Processing Constraints, and Information Processing Capabilities creates a dynamic cycle of adaptation and optimisation. On the whole, the study presents four key implications: (1) Awareness about the versatile application areas of Digital Twins is created. (2) The positive impact of Digital Twins on volume, process, and product responsiveness is outlined. (3) The concept of Information Processing Constraints is introduced to OIPT. And (4) a dynamic cycle of aligning Digital Twin sophistication with Information Processing Capabilities and Constraints is suggested. Therefore, the study contributes not only to a deeper understanding of Digital Twins in demand management but also proposes a new dynamic fit perspective on OIPT.

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A Contextualized Acceptance Model for Proactive Smart Services

Cited by 3 publications

References 127 publications

Research on elderly users' intentions to accept wearable devices based on the improved UTAUT model

Research on elderly users' intentions to accept wearable devices based on the improved UTAUT model

Modelling the mass consumption potential of Plant Based Meat: Evidence from an emerging economy

How Digital Twins Impact Responsiveness: A Dynamic Fit Approach to Information Processing for High-Involvement Product Demand Management

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