From traditional wristwatch to smartwatch: Understanding the relationship between innovation attributes,switching costs and consumers' switching intention

Smartwatches are one of the most disruptive innovations of the past decade. However, these hi-tech gadgets fail to attract interest in the same way as smartphones, or tablet PCs. Despite optimistic market growth forecasts, smartwatches have not taken the place of traditional wristwatches until today, and the number of people who use traditional wristwatches outnumbered those who use smartwatches. This study is thus motivated to examine the factors that affect traditional wristwatch users' intentions to switch to smartwatches. Based on the Diffusion of Innovations Theory, a research model was developed involving perceived product lifetime, financial switching costs, and procedural switching costs. The proposed model was then empirically evaluated using survey data collected from 234 actual traditional wristwatch users about their perception of switching intentions to smartwatches. The findings revealed that relative advantage and financial switching costs significantly influence traditional wristwatch users’ behavioral intentions to switch to smartwatches. Furthermore, financial switching costs mediated the effects of relative advantage and perceived product lifetime on the switching intention. Surprisingly, perceived product lifetime, complexity, and procedural switching costs do not have direct impacts on switching intention.     

Determinants of consumers’ continuance intention to use social recommender systems: A self-regulation perspective

Social recommender systems have transformed how consumers seek product- or service-related information. Based on Bagozzi's self-regulation framework, this study examines the determinants of consumers' continuance intention to use social recommender systems. We found that appraisal factors (perceived information quality and perceived system quality) are strong predictors of emotional reaction (recommendation satisfaction and trust in recommendation). Particularly, perceived information quality has a significant effect on both recommendation satisfaction and trust in recommendation. However, the positive effect of perceived system quality is only on recommendation satisfaction. Both recommendation satisfaction and trust in recommendation positively affect consumers' continuance intention to use social recommender systems.     

Toward street vending in post COVID-19 China: Social networking services information overload and switching intention

With the progress of epidemic containment, the Chinese government has relaxed its regulatory policies on street vending, hoping to help people who have lost their livelihoods and to assist in the restoration of social and economic order. In response, Chinese people poured into the stall economy, especially individual peddlers, with great expectations for street vending. Street vending has become a hot topic on Chinese social network sites (SNSs). Based on the push-pull-mooring framework, SNS information overload theory was introduced and combined with the actual situations of street vending in China, and a structural equation model was established to study factors affecting individual Chinese peddlers' intention to engage in street vending and the effects of SNS information overload on these factors. Results revealed that perceived policy benefits, subjective norms, and switching cost perceptions of individual peddlers were positive factors affecting their intention to engage in street vending. SNS information overload positively affected individual peddlers' dissatisfaction with their original business model, anxieties over their livings, perception of policy benefits, and subjective norms but negatively affected individual peddlers’ perception of switching costs.     

基于VAM的手机新闻智能推荐使用意愿研究

目的建立手机新闻智能推荐的用户使用意愿模型,研究用户对手机新闻智能推荐的感知要素,获取手机新闻智能推荐中影响用户使用意愿的感知价值关联度。方法基于用户感知价值理论与用户深度访谈调研,结合手机新闻智能推荐的特征分析,确立手机新闻智能推荐的感知价值维度为情感价值、功能价值、社会价值、信任价值、情境价值;基于价值接受模型建立手机新闻智能推荐的用户使用意愿模型与量表;通过实证调研与统计分析对使用意愿模型进行验证。结论手机新闻智能推荐用户使用意愿模型与假设成立,感知价值正向显著影响用户使用意愿,且5个价值维度均正向作用于感知价值,关联度从大到小依次为:功能价值、情境价值、社会价值、情感价值和信任价值。     

博物馆文化创意产品感知价值与消费意向研究

目的分析博物馆文化创意产品感知价值对用户满意度及购买意向的影响。方法基于理性行为理论与满意度理论,提出博物馆文化创意产品购买意向影响因子模型与假设,通过问卷调查法收集博物馆文化创意产品消费者感知价值数据,经SPSS多元层次回归模型,对假设模型进行实证分析。结果得出消费者购买行为意向主要受到用户满意度与感知购买成本的影响,而满意度则主要受到感知文化性的影响。结论在博物馆文化创意产品开发过程中,设计师可以通过提高新产品文化创意元素的表现力,来提高消费者满意度,进而间接影响消费者的消费意向;通过丰富产品分级价格,改善消费者对文创产品购买成本价值感知,进而提高博物馆文化创意产品对消费群体的价格应变能力,影响消费者的消费意向,最终改善博物馆文化创意产品的销售现状。     

Understanding the impact of information sources on COVID-19 related preventive measures in Finland

The COVID-19 pandemic amplified the influence of information reporting on human behavior, as people were forced to quickly adapt to a new health threatening situation by relying on new information. Drawing from protection-motivation and cognitive load theories, we formulated a structural model eliciting the impact of the three online information sources: (1) social media, (2) official websites, and (3) other online news sources; on motivation to adopt recommended COVID-19 preventive measures. The model was tested with the data collected from university employees and students (n = 225) in March 2020 through an online survey and analyzed using partial least square structural equation modeling (PLS-SEM). We observed that social media and other online news sources increased information overload amongst the online information sources. This, in turn, negatively affected individuals' self-isolation intention by increasing perceived response costs and decreasing response efficacy. The study highlights the role of online information sources on preventive behaviors during pandemics.     

Developing a general extended UTAUT model for M-payment adoption

To determine the most frequent factors that extended the Unified Theory of Acceptance and Use of Technology (UTAUT) in the context of Mobile payment (M-payment) adoption, a quantitative meta-analysis approach of 25 studies was undertaken. The results indicated that perceived risk, perceived trust, perceived cost, and self-efficacy were the most frequent factors that achieved significant results in the surveyed studies. Accordingly, this study is an attempt to extend the UTAUT model with these factors; proposing a general extended UTAUT model for M-payment adoption. The proposed model is validated using the partial least squares-structural equation modeling (PLS-SEM) approach. The data were collected from a total of 436 M-payment users in Oman. The results indicated that the best predictor of M-payment users’ intention to use the M-payment system is performance expectancy, followed by social influence, effort expectancy, perceived trust, perceived cost, and self-efficacy, respectively. Nonetheless, perceived risk was found to have an insignificant negative impact on the behavioral intention to use M-payment systems. The conclusions derived from this study enhance the understanding of the factors determining the adoption of M-payment systems in Oman.     

Exploring the determinants of users’ continuance intention in smartwatches

The purpose of this study is to examine possible factors that influence continuance intention to use a smartwatch. The proposed research model is based on the expectation confirmation model adapted to include individual mobility, perceived aesthetics, and habit. The sample consisted of 348 actual users of smartwatches and structural equation modeling (SEM) was employed to test the research model. The results indicate that perceived aesthetics, satisfaction, individual mobility, and habit are associated with individuals’ continuance intention to use smartwatches. Surprisingly, perceived usefulness does not directly influence continuance intention of smartwatches. The implications for both theory and practice are provided based on the findings.     

Service transformation under industry 4.0: Investigating acceptance of facial recognition payment through an extended technology acceptance model

Technological development has drastically changed customers' daily lives by offering them new ways to shop. It also creates more opportunities for business to achieve sustainable success; however, both scholars and managers are still having relative difficulty in fully grasping customer behavior in terms of technology acceptance during the Industry 4.0. This study aims to investigate the possible factors that drive Chinese customers' willingness to utilize facial recognition payment. The findings showed that factors such as perceived enjoyment, facilitating conditions, personal innovativeness, coupon availability, perceived ease of use (PEOU), perceived usefulness (PU), and users' attitude are main drivers of customers' decisions to use facial recognition payment. Also, we found that gender differences exist in the adoption of facial recognition payment. Facilitating conditions have stronger effects on men's attitude towards usage, while coupon availability shapes female users' perception of usefulness more powerfully. By testing the extended technology acceptance model (TAM), this study seeks to gain more insight into technological change within society. Overall, investigation of the drivers of customer intention to use facial recognition payment, and exploration of their internal relationships will fulfil theoretical requirements and lead to a better understanding of customers' technology acceptance behavior, which in turn will provide greater theoretical and practical guidance for scholars and managers.     

基于S-O-R理论的秦绣文创产品顾客购买意向影响研究

目的 为提高顾客对秦绣文创产品的满意度,使设计人员准确掌握秦绣文创产品顾客需求,优化秦绣文创产品设计。方法 基于S-O-R理论,构建秦绣文创产品顾客购买意向影响因素理论模型,剖析文化价值、创新价值、价格价值三个维度的感知价值、顾客满意度和购买意向的相互影响关系。通过设计量表和调查问卷进行实证调研,进而运用结构方程模型加以论证。结论 文化价值、创新价值是秦绣文创产品顾客购买意向的关键影响因素,能辅助设计师从顾客需求入手提高顾客满意度,为秦绣文创产品设计优化提供了一定的理论参考及建议。     

Understanding sustained usage of health and fitness apps: Incorporating the technology acceptance model with the investment model

With the increasing popularity and adoption of health/fitness apps, more research attention is needed to examine users' behavior in order to promote sustained usage of the apps. The purpose of this study is to understand health and fitness app users' decision-making process by integrating the Technology Acceptance Model (TAM) and the Investment Model (IM). Three hundred forty-six responses were collected from health and fitness app users in China. A confirmatory factor analysis and a structural equation modeling analysis were conducted. Results show that continuance intention to use the apps is significantly affected by constructs included in the two models. Specifically, perceived ease of use of the apps has a positive effect on perceived usefulness, which further affects users' intention to continue using the apps. In addition, perceived usefulness and perceived ease of use of the apps have significant effects on users' satisfaction, investment size, and quality of available alternatives, and these three constructs affect users' relationship commitment to the apps, which, in turn, influences users' continuing intention. The integrated model provides new insights into the app users' decision-making process and suggests practical implications for app providers, such as developing strategies to evoke and maintain users’ interest in their apps, keeping users satisfied by personalizing their experience, and designing features that keep users invested in the apps.     

Social vacation: Proposition of a model to understand tourists’ usage of social media for travel planning

This study develops a theoretical model that highlights the determinants of actual social media (SM) usage for travel planning by combining theoretical frameworks from the marketing, psychology and information systems literature. The data was collected through field as well as online survey in India. An online survey questionnaire link was shared on different social media platforms and social networking sites. Besides, field visits were carried out to collect data in-person through face-to-face interviews. The final sample consists of 539 observations. Structural Equation Modelling (SEM) was applied to validate the hypothesized relationships among constructs. The results suggest that technological convenience and perceived enjoyment influence the perceived ease of using SM for travel planning. In turn, perceived ease of use impacts perceived usefulness, along with media richness. Perceived ease of use and perceived usefulness, along with trust positively influence intentions to use SM for travel planning, while perceived risk inhibits those intentions. However, trust increases perceived usefulness and mitigates perceived risk. Importantly, intentions exert a strong impact on actual use. This study contributes to the literature by presenting and validating a theory-driven framework that unveils the factors influencing actual usage of SM for travel planning. The proposed theoretical framework emphasizes the key relationships among factors and provides a research basis for development in other contexts.     

The development of ‘green’ airports: Which factors influence willingness to pay for sustainability and intention to act? A structural and mediation model analysis

The study's purpose was to determine which factors influence a consumer's willingness to pay for sustainability and their intention to take action against climate change related to airports. An expanding body of literature relates to assessing whether consumers would be willing to pay for these ‘green’ practices in the aviation industry, such as biofuels or sustainable airport construction/renovations. While previous studies have experimentally examined these scenarios, we are aware of no prior research that has proposed and assessed a structural model related to determining which factors influence consumer's perspectives on ‘green’ airports. A sample of 722 eligible participants from the United States completed the study using Amazon's Mechanical Turk. We examined future time perspective, affect toward climate change, the perceived value of sustainability, and perceptions of climate change on the endogenous variables of willingness to pay for sustainability and intentions to take action against climate change. Six of the seven hypotheses proposed were supported. Affect, perceived value, and perceptions of climate change were all significant and positively related to willingness to pay, which was positively associated with intention to act. Two non-hypothesized paths, between perceived value and future time perspective, were also positively related to intention to act. The model explained 42% of the variance in willingness to pay and 66% in intention to act. These findings offer insights into what factors significantly influence these relationships as they relate to airports. Perceived value and perceptions of climate change had the largest effect sizes in the model and were significantly related to willingness to pay and intentions to act.     

Security factors on the intention to use mobile banking applications in the UK older generation (55+). A mixed-method study using modified UTAUT and MTAM - with perceived cyber security,risk, and trust

The convenience and accessibility of mobile banking applications has resulted in this becoming the preferred method of banking in the UK. Although popular amongst a younger generation, uptake is significantly lower among the older generation of those aged 55+, with some attributing this to cyber security and privacy concerns.This study proposes a model that can be used to measure the influence of cyber security factors on intention to use mobile banking applications, in the UK 55+. The unified theory of acceptance and use of technology (UTAUT) model was modified to include perceived cyber security risk, perceived cyber security trust, and perceived overall cyber security. Unlike similar studies which have been solely quantitative, this research brings further insight using a mixed-methods approach which harnesses both qualitative and quantitative data.The research model was tested using partial-least-squares structural equation modelling on coded questionnaire data, collected from 191 participants. Qualitative data was analysed through a thematic analysis. Both sets of data were analysed using a final convergent mixed-method. The results show that performance expectancy followed by perceived cyber security risk are the main determinants of intention to use mobile banking applications in the UK 55+.     

存量市场下健身APP用户黏度增强设计研究

目的 持续使用意向是用户持续性保持某行为的直观投射,也是APP用户黏度的直观表现。研究健身APP用户黏度的影响因素,有助于用户健身体验的优化。方法 利用文献研究法在信息系统持续使用模型的基础上,引入社会认知理论中自我效能、社会影响等变量建立APP黏度影响因素假设模型。对233名用户进行数据搜集,并对数据进行信度效度分析,通过结构方程模型衡量各变量关联程度,从双理论角度,将各变量作为健身APP系统设计的因素。结果 直接影响用户黏度的要素有：自我效能、感知有用性与满意度,间接因素体现为社会影响与便利条件。结论 根据各因素导向,提出了旨在增强健身APP用户黏度的整体性设计策略：即以易得性、胜任性、反馈性、意外性、社群性五大原则指导设计。     

Fear, threat and efficacy in threat appeals: Message involvement as a key mediator to message acceptance

In a sample of 170 youngsters, the effect of two versions of a public service announcement (PSA) threat appeal against speeding, placed in four different contexts, on evoked fear, perceived threat (severity and probability of occurrence), perceived response efficacy and self-efficacy, message involvement and anti-speeding attitude and anti-speeding intention is investigated. Evoked fear and perceived threat and efficacy independently influence message involvement. Message involvement is a full mediator between evoked fear, perceived threat and efficacy perception on the one hand, and attitudes towards the message and behavioral intention to accept the message on the other. Speeding experience has a significantly negative impact on anti-speeding attitudes. Message and medium context threat levels and context thematic congruency have a significant effect on evoked fear and to a lesser extent on perceived threat.     

Antecedents of trust in using social media for E-government services: An empirical study in Pakistan

Trust is a major concern that develops citizens' willingness to use social media as a technology platform for e-government services. However, despite its importance, there is lack of prior investigation about the factors that can generate citizens' trust to use such services, particularly in a developing country like Pakistan. To address this research gap, this study aims to develop a model that identifies antecedents of citizens' trust to use social media for e-government services. A total of 615 responses were collected from Pakistani citizens having familiarity with e-government and social media services. Partial least squares (PLS-SEM) method was employed to test the proposed relationships in the model. The findings show a significant relationship of trust with citizens intention to use government social media services. Information quality, structural assurances, perceived security, perceived privacy and perceived ease of use are identified as antecedents of trust. The proposed model of this study explains 56.4% of the variance in trust. The implications, limitations and suggestions for future research have also been discussed. These findings can assist government organizations and policy makers in making decisions to increase citizens participation by facilitating their trust on social media-based services of e-government.     

Acceptability of mobile stock trading application: A study of young investors in Malaysia

Mobile financial services have been adopted rapidly during the digitisation era. This study therefore aims to investigate the antecedents of mobile stock trading adoption among young investors. Using the structural equation modelling technique, this study develops an integrated theoretical framework from both the Technology Acceptance Model and Theory of Planned Behaviour using survey data from 373 young retail investors. The suggested model incorporates the six constructs of perceived risk, perceived benefits, perceived usefulness, attitude, perceived behavioural control and social influence and assesses how they affect the intention to adopt mobile stock trading. The results show a strong positive connection among attitude, perceived behavioural control, perceived benefits and intention towards mobile stock trading. We find that trust adds great explanatory power to perceived behavioural control, attitude and social influence in explaining investors’ adoption intention. Surprisingly, perceived risk is not significantly correlated with adoption intention. This study has employed a comprehensive framework to understand the acceptance level of mobile stock trading.     

A new reality: Exploring continuance intention to use mobile augmented reality for entertainment purposes

Augmented Reality (AR) is a technology that combines virtual objects with the real world. In recent years, the rapid development of smartphones has provided a suitable environment for AR technology. This study aims to explore the continuance intention to utilize AR mobile entertainment applications, using the decomposed theory of planned behavior. The research hypotheses were verified using structural equation modeling, which revealed that: (1) telepresence, perceived mobility, perceived enjoyment, and perceived connectedness exert a positive effect on users' attitude toward AR mobile apps; nostalgia is the only factor not to do so; (2) perceived critical mass has a significant positive impact on subjective norms, whereas peer influence does not; (3) self-efficacy has a significant positive influence on perceived behavioral control but facilitating conditions does not; and (4) users' attitude, subjective norms, and perceived behavioral control all have significant positive impacts on users’ intention to continue to use the technology.     

Chatbot for SMEs: Integrating customer and business owner perspectives

PurposeChatbots have been widely adopted to create more positive customer experiences as customers now spend more time in digital environments. Despite the technological advancement and benefits of chatbots for customer service, research on chatbot applications for Small and medium-sized enterprises (SMEs) is limited. The absence of research explaining the struggles faced by SMEs contributes to the gap of SMEs' chatbot adoption. This research determines the features and elements that fit with SMEs’ characteristics and their customers with chatbots.Design/methodology/approachA mixed-methods approach is used to understand SMEs' needs. Study 1 uses interviews with SME business owners and its customers; it aims to explore the features that should be provided by chatbots for SME by identifying combinations between chatbots' generic features and SMEs' customer characteristics. Study 2 tests features identified in Study 1 and surveys 315 SMEs customers to empirically test featured chatbots' influence to anthropomorphism, perceived enjoyment, perceived ease of use, perceived usefulness, and how they affect SMEs’ customer intentions to use chatbots and their shopping intentions.Findings –The findings suggest four combinations of chatbot features that match SME customer characteristics: responsive; simple steps to trigger customer actions; humanized conversations; and personalized recommendations. An experimental survey was designed by creating a chatbot prototype based on these features. The results show that the featured chatbot prototype affects higher anthropomorphism, perceived enjoyment, and perceived usefulness, compared to the standard chatbot. We also find that perceived enjoyment and usefulness positively affect customer's intention to shop and intention to use the chatbot. While anthropomorphism only affect customer's shopping intention to SMEs.OriginalityThis paper contributes to the emerging service literature on the use of chatbots service interactions, particularly for SMEs. This research provides robust explorations from the perspective of both SME owners and customers. For practice, the research provides guidelines on how to design a chatbot for SMEs that meet customers’ needs.