Understanding consumers’ behavior to adopt self-service parcel services for last-mile delivery

Self-service parcel delivery service has been favored by E-commerce retailers as an effective solution to the “last-mile” delivery, and consumers' adoption behavior is the key point to apply this emerging technology. The aim of the present study is to empirically test the influence of psychological factors on online consumers’ behavioral intention to adopt it. An extended UTAUT model is developed and 525 structured questionnaires were collected. Empirical results demonstrate that performance expectancy, effort expectancy, social influence and facilitating conditions are positive determinants, while perceived risk was negatively factor to behavioral intention. The difference in the behavioral intention among demographic groups was examined as it might provide an opportunity for developing a new strategy to promote the application of self-service parcel delivery service for last-mile delivery.     

Let’s face it: Are customers ready for facial recognition technology at quick-service restaurants?

This study aims to provide an integrated model that examines the determinants of customer intention to use facial recognition systems (FRS) in quick-service restaurants (QSRs). An extended model built based on the unified theory of acceptance and use of technology (UTAUT) was tested via structural equation modeling (SEM) using data collected from a sample of 558 QSR customers. The results showed that perceived performance expectancy, social influence, and trust in the system significantly and positively affect customer intention to use FRS to access loyalty and payment accounts. Furthermore, customer hedonic motivation had a positive effect on the intention to use FRS for authorization to their loyalty accounts, but no effect on the intention to use this technology for payment account authorization. The developed model would be helpful to managers for making a decision of utilizing FRS in QSRs and promoting the technology among customers.     

Understanding the barriers and factors associated with consumer adoption of wearable technology devices in managing personal health

This research seeks to identify the barriers and factors associated with adopting wearable technology devices (WTDs) for managing personal health. Based on a partial least square (PLS) analysis of 277 US-based residents, the findings demonstrate that performance expectancy, social influence, facilitating conditions, hedonic motivation, habit, and personalization are significant predictors of consumers' intention to use WTDs. Interestingly, price value, privacy concerns, and health consciousness are not significant. This study will inform future research on WTDs in personal health management. Theoretical and practical implications of the study are also presented.     

Determinants of the Adoption for Travel Information on Smartphone

Many travelers are interested in the usage of smartphones for their trips. This study aims in investigating the determinants of their intentions to adopt information on smartphones for travel decision making. This paper suggests a combined model to examine travelers’ intentions to use travel information on their smartphones from two standpoints: hardware using the united theory of acceptance and use of technology (UTAUT) and software using the e‐satisfaction (E‐SAT) model. The results show that four main determinants influence travelers' intentions to use travel information on smartphones for their trips: usefulness, ease of use, social influence, and satisfaction with travel websites. Copyright © 2013 John Wiley & Sons, Ltd.     

The moderating influence of brand image on consumers' adoption of QR-code e-wallets

In a post-pandemic era marked by thriving digital payments and e-commerce transactions due to physical distancing norms, the growth of mobile payments or E-wallets is expected to expand in tandem with the global trend toward cashless payment solutions. However, it is unclear whether this momentum would be sustained for over-the-counter (OTC) retail payments, particularly QR-code E-wallets, that are more affordable and accessible to merchants and customers than NFC-based (near field communication) systems in emerging markets. This study aims to model the interaction effects of brand image in shaping consumers’ E-wallet usage intentions. Incorporating a consumer-brand relationship element (i.e., brand image) should improve the understanding of consumers’ digital service experiences in proximity-based retail encounters. The research model was empirically tested using 305 responses from QR-based E-wallet users in the Klang Valley, Malaysia. Statistical analysis was performed using structural equation modeling (SEM) to test the hypotheses. An empirical examination of the model revealed effort expectancy, social influence, hedonic motivation, and perceived value as significant positive predictors of consumer usage intention. Furthermore, brand image was found to significantly strengthen the positive effect of perceived value and weaken the positive impact of hedonic motivation on the outcome. The study’s key contributions include reaffirming the crucial contingent role of brand image in consumer technology adoption studies and investigating consumer perceptions of QR-based E-wallets, which are expected to gain traction, especially in emerging markets. E-wallet providers should reinforce their value propositions by providing seamless, engaging, and easy-to-use experiences that improve users' brand perceptions.     

Tablets and Tablet Apps: What Do Hotel Customers Want?

This study aims to explore consumers’ preference whether to bring their own tablets or use those provided by hotels, their expectations of hotel tablet apps, and antecedents of their behavioral intention toward hotel tablet apps. This study applied an extended model of the unified theory of acceptance and use of technology to understand consumers’ perceptions of tablet apps. By surveying 1,034 customers, this study found the respondents were more likely to utilize some tablet app features over others and revealed five key antecedents of customers’ behavioral intentions toward hotel tablet apps. The findings will help operators make informed decisions to maximize the benefits of tablet technology investments. The theoretical framework of this study provides a benchmark for other researchers to further investigate this field.     

MVNO services: Policy implications for promoting MVNO diffusion

This study seeks to validate a comprehensive model of consumer acceptance in the context of MVNOs. While the MVNO business model has gained much popularity over the past few years, it shows a sign of drastic decrease. This study uses the unified theory of acceptance and the use of technology (UTAUT) model with constructs from the innovation diffusion theory (IDT) such as compatibility, relative advantage and social influence. Structural equation modeling is used to construct a predictive model of attitudes toward the MVNO services. While the model confirms the classical role of technology adoption factors (i.e., perceived usefulness and ease of use are key antecedents to consumers’ intention), the results also show that users’ intention and usage are influenced by IDT factors. The model brings together extant research on MVNO and provides an important cluster of antecedents to eventual technology acceptance via constructs of behavioral intention to use and to the actual MVNO usage. Policy implications of MVNO are discussed in terms of consumer adoption and market diffusion.     

An examination of contextual factors and individual characteristics affecting technology implementation decisions in auditing

While computer-assisted audit techniques (CAATs) have the potential to increase efficiency and effectiveness of audit engagements, research in this area suggests that such techniques are under-utilized in public accounting. We propose that this condition is due to performance evaluation pressure and the use of budgets for multiple purposes, which result in the misalignment of firm and individual employee goals. We apply technology acceptance and budgeting theories to test this contention as well as potential organizational strategies for reducing the impediments to technology acceptance in the audit profession.Results from an experiment with experienced auditors suggest that firms have the ability to influence the implementation of new technology by using longer-term budget and evaluation periods and by communicating the approval of remote superiors regarding the software. In the absence of such firm interventions, the individual characteristics of the auditor (risk-aversion and perceptions of budgetary pressure) determine implementation decisions. Specifically, risk-seeking individuals are more likely to implement technology regardless of budget pressure perception, but for risk-averse individuals the decision to implement is positively related to perceived budget pressure.     

从信息采纳的角度探讨制糖业信息化问题

广西的制糖业面临激烈的国内和国际竞争,信息技术是提高制糖企业效益和竞争力的有力手段。但是,目前对企业引入信息技术后的技术扩散过程缺乏对微观扩散机制的研究。文章在UTAUT模型的基础上,对企业引入信息技术后员工的采纳过程进行了探讨。     

基于数据挖掘的网络众筹模式下用户参与动机研究

以用户参与网络众筹的动机为研究目的,基于整合的技术接受模型(UTAUT)和自我决定理论,构建动机测度量表。选取杭州市公众作为调研对象,采用问卷的方式获取用户行为数据,运用非平衡样本处理算法使少数类样本信息得到平衡,并通过机器学习分类器挖掘影响用户参与的重要动机。研究发现:学历和经验是两个显著控制变量;绩效期望是用户参与网络众筹的首要动机维度,且内外激励因素并驱作用;外在激励中经济收益最为显著,内在驱动因素中同情心起到重要作用;信任动机对网络众筹参与也存在显著的正向调节作用。根据研究结论,探索新的收益模式、构建安全的投资平台,有助于网络众筹行业的绿色可持续发展。