Factors influencing the purchase intention of consumers towards remanufactured products: a systematic review and meta-analysis

Rapid growth in end-of-use and end-of-life products and their current unsustainable disposal methods are the cause of worries among the researchers and academicians across the globe. For that, remanufacturing is emerging as a viable option for sustainable production. Moreover, acceptance of remanufactured products by the consumers is highly essential for the success of the circular economy. Therefore, a study of the purchase intention of the consumers towards remanufactured products becomes inevitable. Here, our research uses meta-analysis to statistically synthesise and analyze the factors relevant to the purchase intention of the remanufactured products. Based on the published literature a total of ten studies are found suitable for the meta-analysis. The result shows that purchase intention of consumers is positively and strongly influenced by attitude and subjective norm, whereas it is moderately influenced by perceived green benefits and perceived behaviour control. In addition, meta-analysis supports the negative relationship between perceived risk and purchase intention. The findings also suggest that consumers who purchase remanufactured electrical and electronics products are less environmentally conscious than consumers who purchase remanufactured automotive products. Further, authors have discussed the managerial implications of the factors which influence the purchase intention of the consumers towards remanufactured products.     

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.     

Technological or social? Influencing factors and mechanisms of the psychological digital divide in rural Chinese elderly

The psychological digital divide (PDD) significantly impacts participation and may hinder the development of smart rural communities. This study aimed to address the issue by conducting a questionnaire survey of 394 elderly individuals from rural China, revealing the essential characteristics and core mechanisms of PDD based on the relative deprivation theory (RDT). The study also focused on a moderation test of cognitive age to validate its critical role in the formation of PDD among rural elderly individuals. The final results confirmed the stability of the PDD induction model and highlighted that the information systems (IS) continuance intention of the elderly can be affected by both technological and social environments, through relative digital deprivation. Specifically, social exclusion and technology anxiety were identified as key drivers of PDD, with technology anxiety having a stronger impact. Furthermore, the cognitive age of elderly individuals intensifies the negative influence of relative digital deprivation on IS continuance intention, while also strengthening the relationship between social exclusion and relative digital deprivation. These findings not only shed light on the nature of PDD but also provide a theoretical framework for understanding the transition from social to digital exclusion.     

What advantages of blockchain affect its adoption in the elderly care industry? A study based on the technology–organisation–environment framework

Blockchain technology is considered a logical solution to the problems of security, privacy and trust in the collection, storage and sharing of data related to the elderly in the elderly care industry (ECI); however, its adoption in the ECI remains in its initial stage. To improve the efficiency of adopting this technology in the ECI and to facilitate decision-making by managers, this study combines the diffusion of innovation theory and the technology–organisation–environment framework models to study the factors affecting blockchain adoption intention in the ECI. In addition, the direct predictors of the relative advantages of blockchain technology in the ECI are explored. Through a questionnaire survey of 124 elderly care institutions in China, we collected 181 valid questionnaires and analysed them using a partial least squares regression structural equation model. The results show that relative advantage, corporate social responsibility, top management support and organisational readiness have a positive effect on blockchain adoption intention in the ECI, while the effects of complexity, government support and competitive pressure are insignificant. However, competitive pressure and government support can indirectly promote blockchain adoption intention by influencing top management support. Furthermore, technology trust and information security positively affect the relative advantages of blockchain technology and indirectly affect blockchain adoption intention, while privacy protection is insignificant.     

Understanding the determinants of mHealth apps adoption in Bangladesh: A SEM-Neural network approach

Due to the low adoption rate of mHealth apps, the apps designers need to understand the factors behind adoption. But understanding the determinants of mHealth apps adoption remains unclear. Comparatively less attention has been given to the factors affecting the adoption of mHealth apps among the young generation. This study aims to examine the factors influencing behavioral intention and actual usage behavior of mHealth apps among technology prone young generation. The research model has extracted variables from the widely accepted Unified Theory of Acceptance and Use of Technology (UTAUT2) alongside privacy, lifestyles, self-efficacy and trust. Required data were collected from mHealth apps users in Bangladesh. Firstly, this study confirmed that performance expectancy, social influence, hedonic motivation and privacy exerted a positive influence on behavioral intention whereas facilitating conditions, self-efficacy, trust and lifestyle had an influence on both behavioral intention and actual usage behavior. Secondly, the Neural Network Model was employed to rank relatively significant predictors obtained from structural equation modeling (SEM). This study contributes to the growing literature on the use of mHealth apps in trying to elevate the quality of patients' lives. The new methodology and findings from this study will significantly contribute to the extant literature of technology adoption and mHealth apps adoption intention especially. Therefore, for practitioners concerned with fostering mHealth apps adoption, the findings stress the importance of adopting an integrated approach centered on key findings of this study.     

Environmental air pollution management system: Predicting user adoption behavior of big data analytics

This study has a dual purpose: to explore the novel phenomenon of a big data analytics-environmental air pollution (BDA-EAP) management system, and to propose a research model of factors influencing adoption of such a system. The research model is based on task-technology fit (TTF) and unified theory of acceptance and use of technology (UTAUT) concepts. A comprehensive BDA-EAP management system is proposed and the potential adoption speed of such a system evaluated by sending structured questionnaires to the employees of relevant environmental agencies, yielding 412 valid responses, using the structural equation modeling approach. The results of the study predict that factors of TTF including task characteristics and technology characteristics are strong influencers of TTF, and TTF is a strong predictor of the behavioral intention of users to adopt a BDA-EAP management system. The results demonstrated that the combination of TTF and UTAUT is a stronger predictor of behavioral intention than either TTF or UTAUT alone. Furthermore, resistance to change negatively moderates and extrinsic motivation positively moderates the significant positive relationship between behavioral intention and adoption of a BDA-EAP management system. Meanwhile, behavioral intention, resistance to change, and extrinsic motivation have a significant three-way interaction impact on adoption of a BDA-EAP management system such that an increase in users’ extrinsic motivation will decrease the negative impact of resistance to change during the process of adoption. The study findings contribute to the literature regarding the use of BDA to manage EAP, and provide a basis for future research in this area.     

Factors affecting the behavioral intention to adopt mobile banking: An international comparison

Over the past decade, the markets for mobile and wireless services have been among the world's fastest-growing, especially in Asian countries, presenting financial institutions with significant opportunities to offer value-added services. Mobile banking has since emerged as a new channel enabling the banks to react strategically to changes in competitive forces and to enhance customer convenience.Based on Diffusion of Innovations (DOI) theory, the Technology Acceptance Model (TAM), the Decomposed Theory of Planned Behavior (DTPB) model, this study develops an integrated model to provide a fuller understanding of factors facilitating or impeding the adoption of mobile banking, focusing on consumers in Taiwan and Vietnam. While subjective norms had a significant effect on the intention to adopt, three attributes of mobile banking (compatibility, perceived usefulness, and perceived risk) were found to have indirect effects on intention to adopt mobile banking through attitude toward adoption for consumers in both Taiwan and Vietnam. Intention to adopt mobile banking was indirectly influenced by self-efficacy and facilitating conditions, and directly affected by perceived behavioral control in both nations. Some differences in intention to adopt mobile banking between Taiwanese and Vietnamese are also discussed. Based on the research findings, managerial implications for financial institutions and mobile service providers are discussed.     

基于CVPA理论的文创产品审美反应与购买意愿研究

目的 为了对文创产品造型设计进行准确定位,依据审美偏好与审美能力对消费者进行群体分类,针对不同群体,探讨文创产品审美因素对不同消费群体审美反应和购买意愿的影响.方法 依据产品视觉审美中心度(CVPA)理论与感性工学方法,以文创水杯为研究对象,设计审美反应与购买意愿实验,依据实验调查数据,将消费者分为高、中、低CVPA3个群体,分别运用多元线性回归分析方法,以审美因素为自变量,以审美反应、购买意愿为因变量,构建6个关系模型.结果 模型的关系系数揭示了各种审美因素对审美反应、购买意愿的影响程度.结论 依据消费者的CVPA水平进行分类研究是一种有效的产品定位方法.对于不同的CVPA群体,各审美因素对消费者审美反应与购买意愿的影响存在明显区别,实验结果可以为文创产品设计定位与方案决策提供参考依据.关系模型也可以对设计方案进行审美评价与购买行为评价.     

Integrating TTF and UTAUT2 theories to investigate the adoption of augmented reality technology in education: Perspective from a developing country

Augmented reality (AR) has gained increased recognition in varying fields, in particular educational contexts. In the wake of the Covid-19 pandemic, home-based learning becomes a reality and is already in place across the globe, and learning via augmented reality technology will help learners comprehend learning content in a more creative frame of mind than ever before. Very little research has examined the adoption behavior of augmented reality in developing country perspectives. Therefore, there is a pressing necessity to understand the dynamics of augmented reality adoption for the benefit of motivating and inspiring students to adopt this highly innovative and impactful type of technology in the learning process. Against this background, the authors proposed and tested a model based on integrating Task-Technology Fit (TTF) and UTUAT2 theories. The results reveal the positive effect of task technology fit, performance expectancy, effort expectancy, social influence, facilitating condition, and hedonic motivation on behavioral intention (BI) in the adoption process of augmented reality in educational settings, where price value is found to exert little influence on behavioral intention. This model explains 49% of the variance in intentional behavior to adopt AR technology in the educational context. The conclusions of this study will add to the literature more informative knowledge leading to increased awareness of the dynamics and behaviors of AR adoption in a developing country perspective. We present and discuss the theoretical contributions and practical implications of our findings.     

Investigating consumer purchase intention in online social media marketing: A case study of Tiktok

Online social media marketing has become a mainstream marketing approach, with huge and rising sales volume. Drawing on the pleasure-arousal-dominance model and flow theory, this study empirically investigates the relationships among perceived value, flow experience, emotional pleasure, and purchase intention by using a questionnaire survey of 257 consumers of Tiktok subordinating to online social media marketing in China. The results indicate that hedonic value and utilitarian value are positively associated with consumer purchase intention, respectively. Emotional pleasure mediates the relationship between perceived value and purchase intention, while flow experience positively moderates the relationships between hedonic value and emotional pleasure and between emotional pleasure and purchase intention. This study extends the online social media marketing literature related to consumer purchase intention. The results provide implications for future research and for operators and marketers.     

Consumer's intention to purchase 5G: Do environmental awareness,environmental knowledge and health consciousness attitude matter?

With the enhancement of consumer's environmental awareness, environmental knowledge and health consciousness attitude, environment friendly product and services have attracted much attention. The main objective of this study was to analyze the determinants of consumer's adoption intention to 5G services. Value adaptation Model (VAM) model was extended to develop a correlational model by adding three factors: environmental awareness, environmental knowledge, and health consciousness attitude to pay for 5G services. The model was tested based on online survey data from 423 respondents in China applying structural equation modelling (SEM) approach. The final results illustrate the significant relationship between environmental awareness, knowledge and health-consciousness attitude, which further influences consumer's intentions to purchase 5G. In addition, compared with previous models, this model can improve the explained variance. The significance of the study for managers and researchers and some limitations are also discussed.     

Mass deployment of sustainable transportation: evaluation of factors that influence electric vehicle adoption

Mass penetration of electric vehicles into the market will have a number of impacts and benefits, including the ability to substantially reduce greenhouse gas emissions from the transportation sector. Therefore, it is expected that in coming years this technology will progressively penetrate the market. This research presents an analysis of factors that influence electric vehicle adoption by modeling the conditions under which an individual, particularly one with an engineering or technical background, is more or less likely to adopt an electric vehicle. This model is developed by considering demographic determinants as well as behavioral and attitudinal measures that affect individual adoption of the technology. The methodology involves applying logistic regression to provide a good fit and predict the response given explanatory variables. Analyzing these outcomes generates empirical findings that better inform electric vehicle technology and policy development. This study takes into account preferences of potential customers and analyzes how individuals with engineering and technology background differ in electric vehicle adoption considerations compared to the general population. Therefore, this research provides both engineers and policy makers with critical information for developing future electric vehicle technology. The model results show that several factors including willingness to pay for new appealing technology, distance driven, perceptions of electric vehicles as good for the environment, perception of EV speed are statistically significant in influencing willingness to purchase an electric vehicle.     

Exploring behavioural intentions toward smart healthcare services among medical practitioners: a technology transfer perspective

Recently, a variety of artificial intelligence (AI)-driven smart healthcare services are rapidly emerging in the medical market, such as intelligent image analysis, surgical navigation systems, and aided diagnosis. However, one of the major challenges is practitioners’ hesitation and unwillingness to employ these new technologies in medical practice. This study focuses on identifying the influential factors of adoption intention of smart healthcare services for both clinicians and non-clinicians from the perspective of technology transfer. Through collecting 484 questionnaire data from doctors in Anhui, China, we find support to show that perceived usefulness (PU), attitude, and the experience of using mHealth are key factors that influence both clinicians and non-clinician’s adoption intention. Meanwhile, it is confirmed that subjective norm has a positive effect on only clinicians’ behavioural intention (BI) while perceived risk (PR) has a negative impact on only non-clinicians’ attitude. Among all the constructs, the experience of using mHealth has the strongest positive effect on doctors’ adoption intention on smart healthcare services, a positive impact on the PU and perceived ease of use, and a negative impact on the PR. This study provides an improved understanding of doctors’ BI of smart healthcare services, and practice guidance for product development and marketing strategies.     

基于价值工程的施工管理技术创新

价值工程作为一门新兴管理技术，自20世纪40年代后期产生以来，已被大量运用于生产管理活动之中，特别是在工程建设领域得到广泛的运用，积累了丰富的经验。文章正是以价值工程理论为基础，着重探讨了其在施工管理过程中的应用，以求进一步推动我国施工管理技术的创新和发展。     

Electronic health records adoption: Do institutional pressures and organizational culture matter?

Electronic health records have recently received increasing attention from researchers and practitioners. Nonetheless, research exploring the antecedents of adoption is limited. In this study, drawing on the institutional theory and theory of planned behavior, we propose a model to empirically investigate the salience of institutional pressures (i.e., coercive, normative and mimetic) to attitude towards electronic health records and adoption intention, and how such effects are moderated by organizational culture. The study used data drawn from a field survey conducted with 322 health practitioners to empirically test the proposed research model. The results revealed the significant effects of institutional pressures on attitude towards electronic health records. Moreover, attitude was also indicated to have a significant positive relationship with practitioner's intention to adopt electronic health records. In addition, it was revealed that, organizational culture significantly moderates the relationship between practitioners' attitude towards electronic health records and adoption intention. The implications of the study findings are discoursed on, and suggestions for future research and policy are succinctly spelt out.     

基于消费价值理论的旅游文创产品设计研究

目的 探讨消费价值对旅游文创产品购买意愿的影响。方法 通过文献研究,以消费价值理论为基础构建旅游文创产品购买意愿的研究模型并提出研究假设,参考国内外成熟量表设计调查问卷,发放并收集受访者资料,运用结构方程模型(SEM)的第二代技术——偏最小二乘法(PLS)统计数据并检验模型,以宁夏旅游文创产品设计为例,对研究结果进行设计应用。结论 研究发现,认知价值对消费者购买意愿的影响最大,其次为条件价值、情感价值,而功能价值、社会价值对购买意愿的影响不显著,说明在旅游文创产品设计中要注重产品的文化内涵、互动体验和情感化等特征,以提高消费者的购买意愿。本研究从消费价值的角度丰富了旅游文创产品设计的理论研究,为旅游文创产品设计开发提供了理论依据。     

Accepting financial transactions using blockchain technology and cryptocurrency: A customer perspective approach

Blockchain, and cryptocurrencies such as Bitcoin, Ethereum, and Litecoin, are innovative FinTech technologies that speedily invade the finance market and changing the power of the global economy. However, there was a low acceptance of these technologies among consumers. There is a clear gap in-between that has not yet been taken into consideration and has been misunderstood on many platforms. This paper intends to estimate the usability of blockchain technology by investigating behavioral elements that affect customers' intention towards blockchain-based cryptocurrency transactions. Given the complexity of the technology, this study proposes a new integration model: The Technology Acceptance Model (TAM) together with new external variables regarding blockchain adoption characteristics such as trust, regulatory support, social influence, design, and experience. Surveys were conducted among international users to identify the impacts of these variables on their intention.Our findings indicate two powerful constructs (regulatory support and experience) that encourage customer trust towards blockchain-based applications. People surveyed agreed on a great sense of security and can trust the Blockchain-based applications when they are regulated and insured by the local government. Also, at a certain level of experience, users feel confident to use blockchain-based applications, a high level of trust supports technology adoption. As such, governments and businesses can dedicate efforts to enhance customers' trust and ultimately promote better acceptance of blockchain technology and its applications.     

Comparing domestic water heating technologies

Solar water heaters (SWH) and drain water heat recovery (DWHR) systems are two household technologies currently available in the marketplace that can lower usage of utility-supplied energy. While there is considerable interest in utilizing these technologies to reduce energy costs and environmental impact, actual implementation of these systems in houses remains low. This study examines possible reasons for this low adoption rate using Guelph (Ontario) as a case study representative of medium-sized Canadian cities. A model was created to determine the implementation rate required for each technology to meet the goals of Guelph's Community Energy Plan and the level of financial incentive required to achieve the desired implementation rate. Water conservation and the need to address both new development and the existing housing stock emerge as critical factors. Solar water heating was found to require significantly higher subsidies than drain pipe heat recovery, corresponding to a higher cost per unit of energy saved. Non-economic factors that reduce the adoption rate of new technology are discussed, and it is observed that a need for community education related to the new technologies and inertia associated with current water heating technology are the primary factors for adoption rates below levels predicted based on economics alone.     

面向碳中和和碳达峰的时尚品牌价值影响因素模型构建研究

目的 研究双碳背景下时尚品牌品牌价值的影响因素,研究重点聚焦在低碳营销、低碳品牌形象与消费者购买意愿之间的关系。方法 首先,梳理出双碳背景下时尚品牌纺织服装产品碳足迹在原材料采购、生产制造和产品销售三个环节所面临的挑战,并分析其成因;其次,根据成因与品牌低碳营销、低碳品牌形象和消费者购买意愿的关系,构建了双碳背景下时尚品牌价值影响因素模型,提出研究假设;最后,运用因子分析、相关性分析和回归分析来验证变量之间的关系,并测试中介效应。结果 品牌低碳营销对低碳品牌形象产生正向影响,同时品牌低碳营销和低碳品牌形象均对品牌价值产生正向影响。消费者购买意愿在品牌低碳营销和低碳品牌形象影响品牌价值中起到部分中介作用。结论 影响时尚品牌价值的主要因素包括品牌的低碳营销策略和低碳品牌形象建设。为实现可持续发展目标,时尚品牌需要在原材料采购、生产制造和产品销售等环节采取低碳措施,积极推行低碳营销策略,塑造具有低碳特色的品牌形象,从而提高品牌价值。本研究对象是时尚品牌中的纺织服装产品,但研究结果也可以在一定程度上适用于奢侈品牌、生活方式品牌及其领域产品。     

网络购物环境中信息安全因素对用户行为的影响

通过模拟网上购物实验,研究网络购物环境中信息安全因素对用户行为的影响,方差分析（ANOVA）结果表明,消费者对于通过国际第三方认证的购物网站的信任度比较高;使用中介付款方式有使消费者的风险承担程度和购买意愿得到提高的趋势;实验结果同时表明,随着网上购物经验的丰富,消费者对于电子商务网站的满意度,信任度,其风险承担程度和购买意愿都会提高。