Value-based Adoption Model Research Articles

중고거래 앱 이용자의 지각된 가치가 이용의도에 미치는 영향 – 가치기반수용모델을 중심으로 –

중고거래 앱 이용자의 지각된 가치가 이용의도에 미치는 영향 – 가치기반수용모델을 중심으로 –

가치기반수용모델의 혜택과 희생을 중심으로 한 스크린 골프 이용자의 지속이용의도 결정요인

가치기반수용모델의 혜택과 희생을 중심으로 한 스크린 골프 이용자의 지속이용의도 결정요인

Predicting Public Willingness to Use Autonomous Shuttles: Evidence from an Emerging Economy

The purpose of this paper is to investigate the public’s willingness to adopt autonomous shuttles for public transport. This study proposes a research framework to explain people’s adoption intentions. Therefore, this study adapts and extends the value-based adoption model based on the cost-benefit theory. Using empirical data from 312 respondents in Malaysia, a structural equation model is utilized to test the hypotheses. The results indicate that perceived usefulness and perceived enjoyment have a positive influence on perceived value. Furthermore, perceived value positively influences the intention to use autonomous shuttles. Perceived risk was found to have no influence on perceived value, and the relationship between perceived risk and perceived value was not moderated by personal innovativeness. To improve consumer adoption intention predictions for this complex and new technology, future research should consider incorporating additional variables. Additionally, once autonomous shuttles are introduced into the market, future studies can utilize market data for more precise analysis. This study adds to past research findings by providing a detailed understanding of the role of perceived value in the adoption of autonomous shuttles. It contributes new knowledge on consumers’ psychological stance toward this emerging technology. Consequently, it serves as a valuable benchmark for further studies seeking to provide a more comprehensive understanding of consumer acceptance of autonomous shuttle services, particularly in emerging economies.

Theoretical Models for Acceptance of Human Implantable Technologies: A Narrative Review

Theoretical models play a vital role in understanding the barriers and facilitators for the acceptance or rejection of emerging technologies. We conducted a narrative review of theoretical models predicting acceptance and adoption of human enhancement embeddable technologies to assess how well those models have studied unique attributes and qualities of embeddables and to identify gaps in the literature. Our broad search across multiple databases and Google Scholar identified 16 relevant articles published since 2016. We discovered that three main theoretical models: the technology acceptance model (TAM), unified theory of acceptance and use of technology (UTAUT), and cognitive–affective–normative (CAN) model have been consistently used and refined to explain the acceptance of human enhancement embeddable technology. Psychological constructs such as self-efficacy, motivation, self-determination, and demographic factors were also explored as mediating and moderating variables. Based on our analysis, we collated the verified determinants into a comprehensive model, modifying the CAN model. We also identified gaps in the literature and recommended a further exploration of design elements and psychological constructs. Additionally, we suggest investigating other models such as the matching person and technology model (MPTM), the hedonic-motivation system adoption model (HMSAM), and the value-based adoption model (VAM) to provide a more nuanced understanding of embeddable technologies’ adoption. Our study not only synthesizes the current state of research but also provides a robust framework for future investigations. By offering insights into the complex interplay of factors influencing the adoption of embeddable technologies, we contribute to the development of more effective strategies for design, implementation, and acceptance, thereby paving the way for the successful integration of these technologies into everyday life.

Factors Affecting the Intention to Adopt Food Delivery Apps: Value-Based Adoption Model Framework

This research investigates the factors affecting the intention to adopt food delivery apps in Ho Chi Minh City based on the Value-based adoption Model (VAM). The study was conducted using a structural equation model (SEM) to examine data collected from 344 responders. The research results show that benefit values including convenience and perceived enjoyment have a positive impact on perceived value. Sacrifice values include perceived complexity and perceived cost. Perceived value is negatively impacted by both perceived cost and perceived complexity. Perceived value has a strong and positive impact on the intention to adopt food delivery apps. Furthermore, the study results also indicate that perceived privacy risk negatively affects intention. This is one of the first studies applying VAM to investigate factors affecting consumer behavior in the context of Ho Chi Minh City.

The behavioral intention of young Malaysians towards cashless society: Value-based adoption model

The behavioral intention of young Malaysians towards cashless society: Value-based adoption model

Robo-advisors and investment intention: A perspective of value-based adoption

Financial robo-advisors have been widely used to assist individuals in their investment decisions, making it important to reduce uncertainties in the assistance process. Existing empirical studies rarely explore uncertainty reduction strategies and their implications on users’ investment intentions in the context of financial robo-advisors; our study attempts to address this gap. We construct a model to explain how uncertainty reduction strategies affect users’ investment intention in using financial robo-advisors. By collecting and analyzing a sample of 307 financial robo-advisor users, we find that algorithmic interpretability, structural assurance, and interactivity as uncertainty reduction strategies are positively related to users’ investment intention through the value-based adoption mechanism. Our research extends the value-based adoption model and uncertainty reduction theory in the financial robo-advisor context. We provide insights to financial robo-advisor service providers about focusing on improving algorithmic transparency, third-party assurance, and interactivity of financial robo-advisors to enhance perceived value and investment intention.

A Study of the Interaction between User Psychology and Perceived Value of AI Voice Assistants from a Sustainability Perspective

With the development and innovation of artificial intelligence (AI) technology, users can regulate their social lives and personal emotions through continuous interaction with AI voice assistants or chatbots. Based on the value-based adoption model (VAM), this paper examines the differences between different psychological factors with respect to perceived value factors when using AI voice assistants. This study is of great significance to improving AI voice assistant services and provides an important reference point for deeper understanding of user perception and emotional response to AI voice assistants. The aim of this research is to examine whether the usefulness, enjoyment value, perceived emotional value, and functional value of an AI voice assistant vary according to the user’s level of loneliness, resistance to innovation, and infringement of privacy. An online questionnaire created on the Questionnaire Star platform was used in this paper, and a three-way ANOVA was employed using SPSS 21.0 software. The findings suggest that the interaction effects of psychological factors such as loneliness, innovation resistance, and infringement of privacy differ in terms of perceived usefulness and enjoyment when using AI voice assistants, as well as in terms of perceived emotional and functional value. The results of this study provide a theoretical basis for the application and sustainable development of AI voice assistant technology by companies in different countries and regions. At the same time, this paper provides a valuable reference point for promoting urban economic sustainability in the context of digital technology.

Enhancing value in customer journey by considering the (ad)option of artificial intelligence tools

Artificial intelligence(AI) technologies are revolutionizing the customer journey remarkably. Current research employsextended value-based adoption model (VAM) incorporating mediating and moderating variables to predict the adoption intentions of AI technologies. Using a structured questionnaire, 392 responses were collected and analyzed using partial least square structural equation modelling. Results showed that AI technology's usefulness, fascinating features, and trustpositively impact its value in customers' eyes. Technological anxiety related to AI dampensAI tools’ value. Making AI tools human like (anthropomorphic) do not enhance its value. This study establishes that the value associated with AI tools leads to relationship (parasocial) formation with them and itincreases the possibility of AI technologies use. Study showed that the users who have different liking towards AI tools usage (AI fans, detractors and indifferent) influence the relationship between AI tools’ value and intentions to use AI differently. The study further offers valuable theoretical and practical implications.

Relationships among Perceived Benefit, Perceived Sacrifice, Perceived Value of China Coffee Brand Application and Continuous Use Intentions: Focusing on Value-based Adoption Model (VAM)

Relationships among Perceived Benefit, Perceived Sacrifice, Perceived Value of China Coffee Brand Application and Continuous Use Intentions: Focusing on Value-based Adoption Model (VAM)

해외 OTT 서비스의 지속사용의도에 관한 연구: 가치기반수용모델을 중심으로

Due to the COVID-19 crisis, considering the use of overseas OTT service is rapidly increasing among Korean consumers, there is a need for research on why Korean consumers are choosing overseas OTT platforms rather than domestic ones. Drawing upon a value-based adoption model (VAM), this study is to analyze the structural relationships of OTT characteristics, perceived value and continuance intention. The empirical results showed that usefulness and enjoyment of OTT characteristics were positively associated with perceived value, while technicality and perceived fee were negatively associated with perceived value. Furthermore, perceived value had a positive effect on continuance intention. The findings of this study might be used as a reference to overseas OTT companies for achieving better performance by raising consumers’ expectations on the OTT service characteristics.

Creepy vs. cool: Switching from human staff to service robots in the hospitality industry

As service robots are becoming more human-looking, people are beginning to perceive robots as creepy in one way but cool in another. This study investigates how the trade-off effects of ‘creepiness’ and ‘coolness’ affect the perceived values relating to switching intentions to service robots. The study converged the value-based adoption model (VAM) and push-pull mooring model (PPM) to examine the antecedents of switching intentions and employed a combination of video/scenario-based experimental surveys. Structural analysis of the three groups (e.g., machine-like, semi-human-like, and human-like service robots) revealed that perceived creepiness and perceived coolness both had an impact on perceived value, which, in turn, linked to switching intention from human staff to service robots. Hence, regardless of service types, both negative and positive perceptions co-exist in consumer mindsets. This study provides theoretical and practical implications for three different types of service robots.

Factors influencing health care professionals’ adoption of mobile platform of medical and senior care in China

A mobile platform of medical and senior care (MPMSC) is a platform that can provide one-stop medical and senior care services through mobile devices. This study developed a research model based on the value-based adoption model to understand the factors influencing health care professionals’ adoption of MPMSC. Empirical analysis has shown that perceived value and legal concerns can predict health care professionals’ intention to adopt MPMSC and that outcome expectations, perceived mobility, perceived effort, and privacy concerns can predict perceived value. Research findings can enhance the understanding of the factors influencing the adoption of MPMSC by health care professionals.

Assessing the Impact of Urban Lifestyle and Consumption Values on Conversion Intention: A Study towards Energy Sustainability

Energy converter innovation has shifted the world’s cooking energy from wood, coal, kerosene, and liquid petroleum gas (LPG) to electricity. This paper identifies the factors influencing customers’ intention to switch their cooking energy from LPG to electricity. The study proposes a conversion intention (COIN) framework with urban convenience and perceived alternative value (PAV) as predictor variables and examines the mooring effect of conversion cost to COIN. The data were gathered by a cross-sectional survey, and the PLS-SEM approach was applied to 194 LPG users in Jakarta, Indonesia. The results reveal that PAV mainly determines cooking energy conversion and partially mediates the relationship between urban convenience and COIN. Conversion cost indicates no significant moderating effect of PAV on COIN. By conducting this study, we contribute to the literature by integrating the theory of consumption value (TCV) with the value-based adoption model (VAM), generating the indicators of urban convenience based on time-oriented advertisement categories and applying the consumption values of the TCV as the dimensions of PAV on the VAM framework. The findings of the paper provide a more in-depth understanding of customers’ motivations when switching from LPG to electric power, particularly for household cooking energy, as well as opportunities for the government and electronic manufacturers to promote more sustainable energy consumption patterns.

AI 추천시스템 기반 패션 구독 서비스 특성과 사용 의도와의 관계에 관한 연구

The AI-recommended system-based fashion subscription services are becoming a shopping model that provides new shopping methods through convergence with deep learning AI technology to meet consumers" personalization, fashion styling, and shopping needs. However, previous studies related to the fashion business mainly focused on developing AI recommendation systems or studying AI application cases, but there is a limit to understanding the behavioral patterns of fashion consumers. Therefore, it is meaningful to analyze consumers" purchasing intention to use these new technology-based subscription services. This study attempted to identify the main causal variables that affect the intention to use the fashion subscription service. The proposed research model and hypothesis were verified through a Partial Least Squares Structural Equation Modeling based on a survey of 430 consumers. It examined the relationship between these factors affecting the intention to use through perceived value based on the value-based adoption model. This research found that service convenience has a major influence on perceived usefulness in relation to benefits, and recency on perceived enjoyment. On the contrary, it was found that special preferential benefits for privacy concern and recency for subscription costs had the greatest positive and negative effects, respectively. In the case of AI-recommended system-based fashion subscription services, this study also suggested it is important to provide customers with a convenient, easy-to-use system and up-to-date products. It is also theoretically meaningful to apply the value-based acceptance model in the relationship between he characteristics of AI recommendation-based subscription services and intention to use.

Internet of Things Adoption in the Manufacturing Sector: A Conceptual Model from a Multi-Theoretical Perspective

The manufacturing sector (MS) is considered one of the most important national economic sectors; therefore, global manufacturers strive to apply cutting-edge technologies to gain competitive advantages. The Internet of Things (IoT) has an inherent potential to enhance MS economic growth and maintain its dominance in global markets by using a vast network of smart sensors; nevertheless, IoT technology adoption in the MS remains in the early phase. This research aims to define the antecedents that affect IoT adoption in the MS and propose a conceptual model to explain the adoption intention. Based on an extensive literature review, the proposed model was constructed by three main antecedents: perceived value, perceived benefits, and perceived challenges, and 11 related variables. The model development used a multi-theoretical perspective by integrating three theories: the value-based adoption model, the diffusion of innovation theory, and the technology–organization–environment framework. This study provides decision-makers with valuable insight that promotes IoT adoption in MS and enriches the literature with a new perspective that encourages more studies on IoT adoption in organizations.

Determinants Influencing the Adoption of Internet Health Care Technology Among Chinese Health Care Professionals: Extension of the Value-Based Adoption Model With Burnout Theory

The global COVID-19 pandemic has been widely regarded as a catalyst for adopting internet health care technology (IHT) in China. IHT consists of new health care technologies that are shaping health services and medical consultations. Health care professionals play a substantial role in the adoption of any IHT, but the consequences of doing so can often be challenging, particularly when employee burnout is prevalent. Few studies have explored whether employee burnout influences the adoption intention of IHT in health care professionals. This study aims to explain the determinants influencing the adoption of IHT from the perspective of health care professionals. To do so, the study extends the value-based adoption model (VAM) with consideration for employee burnout as a determining factor. A cross-sectional web-based survey using a sample of 12,031 health care professionals selected through multistage cluster sampling from 3 provinces in mainland China was conducted. The hypotheses of our research model were developed based on the VAM and employee burnout theory. Structural equation modeling was then used to test the research hypotheses. The results indicate that perceived usefulness, perceived enjoyment, and perceived complexity positively correlate with perceived value (β=.131, P=.01; β=.638, P<.001; β=.198, P<.001, respectively). Perceived value had a positive direct effect on adoption intention (β=.725, P<.001), perceived risk negatively correlated with perceived value (β=-.083, P<.001), and perceived value negatively correlated with employee burnout (β=-.308, P<.001). In addition, employee burnout was negatively related to adoption intention (β=-.170, P<.001) and mediated the relationship between perceived value and adoption intention (β=.052, P<.001). Perceived value, perceived enjoyment, and employee burnout were the most important determinants of IHT adoption intention by health care professionals. In addition, while employee burnout was negatively related to adoption intention, perceived value inhibited employee burnout. Therefore, this study finds that it is necessary to develop strategies to improve the perceived value and reduce employee burnout, which will benefit the promotion of the adoption intention of IHT in health care professionals. This study supports the use of the VAM and employee burnout in explaining health care professionals' adoption intention regarding IHT.

Understanding User Acceptability Towards to Robo Taxi Based on Value Based Adoption Model

Understanding User Acceptability Towards to Robo Taxi Based on Value Based Adoption Model

Impact of perceived value on the online purchase intention of base of the pyramid consumers

AbstractDespite the voluminous purchasing power of the consumers at the base of the pyramid (BOP), substantial research has not been carried out on their online buying behaviour. This study investigates the factors that trigger the online shopping intention of BOP consumers. We conducted semi‐structured in‐depth interviews with 52 BOP respondents from India. Our thematic analysis indicates four perceived benefits and five sacrifices influencing BOP consumers' perceived value for online purchases, subsequently determining their adoption behaviour. As a novel contribution to the literature, this study unfolds several unknown factors that motivate/demotivate BOP consumers to buy online using the Value‐based Adoption Model (VAM). The findings of this study will help e‐commerce marketers enhance BOP consumers' usage intention toward online purchases.

Examining the luxury consumers’ showrooming behaviour: The effect of perceived values and product involvement

ABSTRACT Since showrooming has been a key trend among luxury consumers, this study tries to understand the major drivers behind luxury consumers’ showrooming behaviour using a moderated mediation framework. Drawing from Stimulus-Organism-Response (S-O-R) Model and Value-Based Adoption Model (VAM), this research aims to bridge this gap in the existing work. Systematic sampling method was employed for data collection from 404 luxury fashion consumers in India. AMOS 27 and Process SPSS Macro were employed to analyse the data. Findings from the analysis revealed that sales-staff assistance, evaluation convenience, deals and discount and online purchase convenience significantly influence showrooming intention. Mediating roles of in-store search value and perceived value of online shopping were confirmed in the relationship between antecedent variables and showrooming intention. Furthermore, the mediating role of in-store search value is moderated by product involvement. This is the earliest work performed to examine the influence of product involvement in consumers’ showrooming behaviour for luxury goods. This paper will assist luxury players to create appropriate marketing programmes to facilitate or counter showrooming.