Reuse Intention Research Articles

반영구 화장 행동특성이 재이용의도 및 추천의도에 미치는 영향

This study aimed to find out the effect of semi-permanent makeup behavioral characteristics on reuse intention and recommendation intention for adult women aged 30-50 or older who have experienced semi-permanent makeup. To this end, a survey was conducted from June 1 to 21, 2022, and the results are as follows. First, the higher the technology, performance, and physical factors, the higher it was. Among each sub-factor of semi-permanent makeup behavioral characteristics, the higher the intention to reuse, the higher it was. Second, it was found that the technical factors, performance factors, and physical factors by sub-factors of the semi-permanent makeup behavioral characteristics had a statistically significant effect on the recommendation intention. Third, it was found that the intention to reuse had a statistical effect on the intention to recommend. Therefore, the higher the intention to reuse semi-permanent makeup, the higher the recommendation intention. The results of this study are expected to be used as basic data for presenting positive aspects of semi-permanent makeup and promoting effective marketing.

Toward a new business model of retail industry: The role of brand experience and brand authenticity

While the customer-to-manufacturer (C2M) business model has received increasing attention as a new business model for e-commerce and retail industry, little is still known about it and the effect of its approach. This study aims to understand how brand-related stimuli in C2M environments affect customer responses as the worldwide COVID-19 pandemic. The outcomes reveal that the Sensory, affective, and intellectual aspects of brand experience positively influence brand authenticity. Brand authenticity has a positive effect on behavioral intention, such as reuse intention and word-of-mouth. Additionally, this research finds that social presence moderates the association between the sensory aspect of brand experience. Thus, this study can suggest a C2M business model as a means of sustainable operation of the retail industry to both researchers and practitioners in relation to the retail industry.

Examining the effect of logistics service quality on customer satisfaction and re-use intention.

For logistics service providers (LSPs), improving customer satisfaction and obtaining customer re-use intention are key to gaining sustainable competitive advantages and success. Logistics service quality (LSQ) is a concern for logistics service providers, retailers, and customers. The proposed model, which is based on the stimuli-organism-response theory and the logistics service quality framework, integrates operational quality, resource quality, information quality, personal contact quality, customization quality, and customer satisfaction to study logistics service re-use intentions. The data were obtained from an online survey using a structured questionnaire given to those with experience in logistics service. Using partial least squares structural equation modeling on 810 respondents who were adult Chinese customers, this study discovered that operational, resource, information, personal contact, and customization qualities positively affect the satisfaction of logistics service customers, while customer satisfaction positively affects re-use intention. Moreover, the results of the mediation analysis revealed that customer satisfaction mediated the connection between the five components of LSQ and the re-use intention of logistics services. The originality of the study lies in its comprehensive examination of the direct and indirect effects of service quality dimensions on customer satisfaction and logistics service re-use intention in the context of logistics services. This study provides valuable insights into the importance of customer satisfaction in the logistics industry and highlights the need for logistics companies to prioritize customer satisfaction and improve their overall performance and competitiveness.

Do Anthropomorphic Chatbots Increase Counseling Satisfaction and Reuse Intention? The Moderated Mediation of Social Rapport and Social Anxiety.

The growing demand for mental health services and artificial intelligence chatbots to replace human agents have led to increased attention to chatbot anthropomorphizing. This study explored the effect of anthropomorphism on counseling satisfaction and reuse intention for chatbot-led mental health counseling and the mediating role of social rapport in the relationship. This study also examined the interaction effect of anthropomorphism and social anxiety on counseling satisfaction and reuse intention. A total of 374 U.S. adults were recruited from an online crowdsourcing company to simulate user-chatbot interactions in the context of mental health counseling. Two chatbots either with a high anthropomorphic design (i.e., human face) or low anthropomorphic design (i.e., robot face) were developed through Dialogflow-a natural language processing engine-to examine the hypotheses. The results revealed that the high anthropomorphic design produced higher counseling satisfaction and reuse intention than the low anthropomorphic design, while this relationship is mediated by the perceived social rapport between chatbot counselors and users. The results further revealed a significant interaction effect of anthropomorphism and social anxiety on counseling satisfaction and reuse intention. The findings of this study are expected to (a) enhance the understanding of the effect of anthropomorphic chatbots on counseling satisfaction and reuse intention, (b) clarify moderating effects of social rapport and social anxiety, and (c) help mental health practitioners and chatbot designers by providing a psychological mechanism of how anthropomorphism functions in the context of human-chatbot interaction.

How do consumers react to chatbots' humorous emojis in service failures

Prior research has shown that humor can positively impact service recovery in face-to-face interactions. However, the efficacy of using humor in virtual environments for chatbots to address service failures remains unclear. Through three experiments in different populations, this paper found that using humorous emojis by chatbots can help increase consumers' willingness to continue using chatbots after service failures (i.e., reuse intention) and the underlying mechanism; that is, the level of consumers perceiving the degree of the chatbot's intelligence (i.e., perceived intelligence) partially mediates the relationship between humorous emojis use and consumers' reuse intention. Further, how people form impressions about others based on limited information (i.e., implicit personality) significantly moderates the influence path from humorous emojis use to perceived intelligence, and perceived intelligence is more likely to mediate for people who see challenging situations as opportunities (i.e., incremental theorists). In conclusion, this paper provides empirical evidence supporting the potential benefits of using humorous emojis in chatbot service recovery, and offers guidance to online retailers to leverage digital technology for effective consumer engagement.

통합물류 서비스 품질이 중국 소비자 고객 재이용의도에 미치는 영향

Purpose: This study proposes a consumer-relevant evaluation system for the quality of consolidation logistics services based on the four qualities of timeliness, dependability, economy, and convenience. It also investigates the relationship between these aspects and consumers' intentions to reuse in order to increase their intentions to reuse.
 Research design, data, and methodology: This paper collects the opinions of 514 customers of consolidation logistics services, and employs structural equation modeling to examine the influence of service quality on consumers' reuse intentions across four dimensions.
 Results: Consolidation logistics ser vice providers that demonstrate punctualit y, dependability, economical approaches, and convenience are better able to entice clients to employ their services regularly.
 Conclusions: Consolidation logistics service providers that demonstrate punctuality, dependability, economical approaches, and convenience are better able to entice clients to employ their services regularly.

The Effect of Trust and Perceived Value on Reuse Intention of Linkaja Application Users Mediated by Customer Satisfaction

This study aims to analyze the role of customer satisfaction in mediating the effect of trust and perceived value on reuse intention. This type of research is explanatory research. The sampling technique used purposive sampling with 120 respondents and was analyzed using Partial Least Square (PLS). Based on the research results, it says that trust affects reuse intention and customer satisfaction, perceived value influences reuse intention and customer satisfaction, customer satisfaction affects reuse intention, and customer satisfaction mediates the effect of trust and perceived value on reuse intention. Customer satisfaction acts as a partial mediating variable. Trust and perceived value influence user intentions to reuse the application. Therefore, LinkAja application management must pay attention to and build trust and perceived value to strengthen user intentions to use the application again. So, it is important to pay attention to customer satisfaction and act as an important mediator in the relationship between trust and perceived value with the intention of reuse.

The effects of virtual reality (VR) and augmented reality (AR) on senior tourists’ experiential quality, perceived advantages, perceived enjoyment, and reuse intention

ABSTRACT This study investigated the use of virtual reality (VR) and augmented reality (AR) virtual tourism to overcome problems and limitations in the senior tourism market. We explored the attributes of VR and AR in the context of vitalizing senior tourism, and the effects of such attributes on older adults’ experience, perceived advantage, enjoyment, and reuse intention. Using mixed methods (i.e. qualitative and quantitative approaches), we developed four attributes of VR and AR for senior tourism and analyzed the effects of these attributes on older adults’ emotional and behavioural responses. Analysis revealed significant relationships between the variables presented. These results offer meaningful insights about the use of VR and AR in virtual tourism to effectively activate senior tourism.

Chatbot-Based Services: A Study on Customers’ Reuse Intention

The main objective of this article is to investigate the factors that influence customers’ intention to reuse chatbot-based services. The study employs a combination of the technology acceptance model (TAM) with other contributions in the literature to develop a theoretical model that predicts and explains customers’ intention to reuse chatbots. The research uses structural equation modeling (PLS-SEM) to test the proposed hypotheses. Data collected from 201 chatbot users among Portuguese consumers were analyzed, and the results showed that user satisfaction, perceived usefulness, and subjective norm are significant predictors of chatbot reuse intentions. Additionally, the findings indicated that perceived usefulness, perceived ease of use, and trust have a positive impact on attitudes toward using chatbots. Trust was found to have a significant impact on perceived usefulness, user satisfaction, and attitudes toward using chatbots. However, there was no significant effect of attitude toward using chatbots, perceived ease of use, trust, and perceived social presence on reuse intentions. The article concludes with theoretical contributions and recommendations for managers.

Study on the Impact of Chatbot Characteristics of Online Shopping Mall on Customer Satisfaction and Reuse Intention in China: Hedonic Motivation and Utilitarian Motivation as Moderating Variables

Purpose – The purpose of this paper is to analyze the impact of chatbot characteristics on customer satisfaction and reuse intention. Design/Methodology/Approach – The study collected data from 259 customers with experience using chatbots on online shopping malls. Statistical programs SPSS 27.0 and AMOS 26.0 were used for data analysis in this study. The empirical analysis consisted of frequency analysis, reliability analysis, confirmatory factor analysis, and hypothesis testing, in that respective order. Findings – The results showed that chatbot characteristics (empathy, intimacy, accuracy, ease of use, social presence) and the relationship between customer satisfaction had a positive effect, and customer satisfaction had a positive effect on chatbot reuse intention. In addition, hedonic motivation showed a moderating effect on the relationship between accuracy, ease of use, and customer satisfaction, and utilitarian motivation showed a moderating effect on the relationship between accuracy and customer satisfaction. Research Implications – This paper divided the characteristics of chatbots into empathy, intimacy, accuracy, ease of use, and social presence, which provides a theoretical framework for future research on chatbots, and has certain reference value. The importance of consumer psychological variables is confirmed by analyzing hedonic motivation and utilitarian motivation as moderating variables. In addition, the results of this study are of great significance to the application and improvement of chatbots utilized by online shopping mall companies. In the online shopping mall environment, retailers can use chatbots as a communication supplementary strategy to participate in customer service and improve the efficiency of the customer shopping experience.

Allocation of attention to metadata and retrieval functions: Implications for perceived value and open data discovery and reuse

Metadata and retrieval functions play a vital role in aiding researchers in the discovery and reuse of open data. However, the diversity of metadata elements and retrieval functions poses a challenge to data searchers’ limited attentional resources. This study aims to examine the allocation of attention to metadata elements and retrieval functions and its implications for perceived value and intentions to discover and reuse open data by drawing upon the attentional drift-diffusion model, flow theory, and perceived value literature. An experiment with 48 participants was conducted to explore the proposed relationships. Multiple linear regression analysis was performed to analyze the data. The results suggest that researchers’ attention to high-value functions amplifies the perceived value and motivates data discovery intention. Attention to high-value metadata elements motivates data discovery and reuse intention. In contrast, attention to low-value metadata elements hampers the perceived value and inhibits data discovery and reuse intention. These findings put forward a new lens for exploring the attention mechanisms underlying perceived value, data discovery and reuse intention and highlight the important role of the value of metadata and retrieval functions in attention mechanisms. Additionally, this paper identifies the positive effect of perceived ease of use on users’ intentions to find, evaluate, and access open data. Perceived usefulness positively affects users’ intentions to evaluate open data. However, in contrast to perceived intentions to reuse open data assessed by self-reported measures, perceived value is not a salient motivator of open data reuse intention measured by behavioral indicators. These findings reveal the distinct effects of perceived value on perceived intention and intentional action in data reuse. With these insights, this study develops practical strategies to optimize the design of metadata and retrieval functions in data retrieval systems.

Highlighting the Role of Archaea in Urban Mine Waste Exploitation and Valorisation

E-materials become e-waste once they have been discarded without the intent of reuse. Due to its rich content of metals, among which many are Critical Raw Materials (CRMs), e-waste can be considered an urban mine to exploit and valorise. Common metal refining is performed by energy-intensive processes frequently based on the use of fossil fuel. Bio-metallurgy is a promising alternative for e-waste valorisation based on biological routes of specialised microorganisms able to leach solid-containing metals. Because of the physiology of these microorganisms, microbial leaching can be economically feasible, besides being an environmentally sustainable process. Like Bacteria and Fungi, Archaea are also capable of metal leaching activity, though their potential is underestimated. Among them, the extremophiles are the most studied and applied in the field of metal recovery, while mesophilic species are less common but still of high interest. Here we provide the state of industrial application of bio-metallurgy and report on the state of the art of Archaea exploitation in metal recovery from e-waste. Moreover, we give a special highlight to methanogenic archaea, which are able to convert CO2 into methane in order to highlight the potential for the valorisation of CO2-rich industrial streams generated by key processes (i.e., anaerobic digestion, concrete, and steel production) in CH4 for gas grid distribution, while making metals content in e-waste available again as raw material.

Effects of Service Quality Characteristics of the 2018 Webtoon Lore Olympus on User Satisfaction and Reuse Intention of Generation Z in Korea

This study was conducted to examine the Generation Z’s satisfaction and reuse intention of the service factors of the webtoon Lore Olympus in Korea. We examined the satisfaction and reuse intentions of Generation Z users who received the service of the US webtoon Lore Olympus at Korean portal site Naver from July 1 to July 31, 2022. Results show that the entertainingness and design characteristics of Lore Olympus significantly affected on Generation Z’s satisfaction and reuse intention in Korea. User satisfaction also affected reuse intentions. The webtoon service factors such as entertainingness and design characteristics of Lore Olympus were confirmed to have an effect on Generation Z’s satisfaction and reuse intention in Korea.

온라인(Virtual) 컨벤션 서비스품질이 참가자의 재이용의도에 미치는 영향

The purpose of this study is to investigate the relationship between online convention service quality and re-participation intention in online conventions. The study reviewed the main components of online service quality. The study proposed a research model based on the theoretical background, hypothesizing that online service quality has direct effects on expectancy disconfirmation, attitude, and perceived behavior, which in turn affects the intention to re-participate in online conventions. The survey subjects were people who had attended an online convention with more than 100 people in the previous year. An online survey was used to collect data from July 26 to August 6, 2021. As a result, the quality of online convention service was divided into five components (human service, program, platform aesthetics, platform service, and interaction), and it was discovered that these components influenced expectancy disconfirmation, attitudes, perceived behavior control, and subjective norms. Furthermore, it was discovered that expectancy disconfirmation, attitudes, perceived behavioral control, and subjective norms for online convention service quality all have a significant influence on reuse intention. This study suggests that the aesthetics of the platform as an attractive quality factor is important for differentiation when holding an online convention and for the essence of the meeting to obtain quality information.

An Integrated Model of Customers’ Intention to Reuse Information Service: What’s New for Conversational Agents?

The application of conversational agents empowered by artificial intelligence (AI) is becoming more common among tourism and hospitality businesses. Past research on AI has mostly investigated embodied robots rather than disembodied conversational agents. This study investigates the determinants of customers’ intention to reuse chatbots through integrating three different perspectives – technology acceptance model, computer-mediated communication theories, and interpersonal communication theories. Using online self-reported data analyzed by hierarchical regression and multi-group structural equation modeling, the efficacy of different theoretical models in predicting chatbot adoption were compared. A separate data set was collected from instant messaging (IM) users to provide implications that further explain the distinction between disembodied conversational agents and human conversational partners. Results suggest that variables associated with TAM and interpersonal attraction exert greatest influence on customers’ trust and reuse intention toward conversational agents. Managerial implications are suggested for practitioners to improve chatbot and IM design.

Customer intention to reuse self-ordering kiosks in fast-food restaurant: the case of Bangkok, Thailand

Purpose – The food sector has embraced new technologies in customer service, including self-ordering kiosks (SOKs). Such a service allows customers to select, customize, and pay for their meals through a device or kiosk. This study investigates customer satisfaction and intentions to reuse SOKs in the fast food context. Methodology/Design/Approach – This empirical study is based on quantitative research; an online survey with a self-administered questionnaire was designed to measure customer satisfaction and intention to reuse SOKs among adult Thai McDonald’s customers in Bangkok. Findings – The results indicate that service quality dimensions, perceived value, and customer experience influence customer satisfaction, which in turn influences reuse intention. The results suggest that the fast food self-service ordering system is a unique service environment that requires its own focus in academic study and management. Practical implications - Management implications suggest that service standards for selfservice kiosks must be consistent with customer expectations during the customer-machine service encounter. Originality of the research - The study suggests that research needs to be responsive to the swift and ongoing changes in the technological environment, as these changes could affect customer experience; we also propose that more empirical research should be conducted in the Western context to examine differences in customer experience.

Analysis of Consumer Reuse Intention for Digital Healthcare Application Using The Extended TAM Approach

The technological disruption and conventional health services that required consumers to meet directly with health practitioners can now be accelerated through health service technology known as digital healthcare applications. In Indonesia, the use of digital healthcare applications increased rapidly when the Covid-19 pandemic hit the world. Therefore, the conventional health care service no longer suits the current market of health care. This study aimed to examine the factors in determining their influence on consumer reuse intentions in using digital healthcare applications. The methodology used is a quantitative method, with data collected by an electronic survey of customers using health care applications. Data is analyzed using SEM PLS. The finding showed that perceived usefulness, trust, privacy, and PEOU have and provide a positive influence on re-usage intention in reusing digital healthcare applications. However, this study did not test the mediation or moderation of the variables. Therefore, external variables limited to trust and privacy need to be explored further so that other external variables that might affect the use of digital healthcare applications can be obtained.

고객만족도와 재사용 의도에 미치는 영향요인에 관한 연구

With the development of mobile network technology, O2O delivery has become an important part of the catering industry. The COVID-19 outbreak in 2020 also saw a significant increase in the use of delivery platforms. This study conducted a study on factors affecting customer satisfaction and reuse intention for Chinese O2O delivery platform consumers. Factors affecting customer satisfaction and reuse intention were divided into two categories: online service quality and offiine service quality. Online service quality includes system quality, information quality and customer service quality, and offline service quality includes product quality and delivery quality. Through the online questionnaire survey, a total of 129 valid questionnaires were collected (a total of 153 were issued), after obtaining the data, use SPSS 22.0 for quality evaluation, and then use Smat1 PLS 2.0 for hypothesis testing. The results of the study are as follows. Information quality, customer service quality, product quality, and delivery quality have a significant positive impact on customer satisfaction. system quality does not have a positive impact on customer satisfaction. customer satisfaction has a significant positive impact on reuse intention. This study proposes a management strategy to improve customer reuse intention and increase customer fixation to ensure sustainable development of O2O.

PENGARUH E-SATISFACTION ON RE-USE INTENTION PADA PLATFORM BCA MOBILE BANKING

In this modern era, all activities are based on technology. One of them is the economic sector, all economies are starting to switch to using advanced technology such as e-banking. And one of the determinants of the company's success to increase the re-use intention of mobile banking applications is the high level of user satisfaction. This study uses a quantitative approach by spreading questionnaires and measurements are carried out using the Likert scale. This research was conducted on the BCA Mobile Banking platform, where the population in this study is all BCA Mobile Banking users. Purposive sampling techniques were used in determining the number of study samples totaling 102 people, and the data was analyzed using SPSS software with simple linear regression analysis. The results showed that e-satisfaction had a positive and significant effect on reuse intentions

ANALISIS PEMANFAATAN SISTEM APLIKASI DARI SEGI PENERIMAAN USER: TECHNOLOGY ACCEPTANCE BASED MODEL

The use of System Application Products at PT Asuransi XYZ is more intense in the Corporate Business Department. This research was conducted to measure the level of satisfaction of SAP users and to see the actual use and use at PT Asuransi XYZ, by combining the implementation of the information system with the UTAUT model and the DeLone-McLean model. This study uses a questionnaire method with the research sample being employees who work using SAP in the Commercial Business section at PT Asuransi XYZ with a total of 72 respondents. Where the data collected is then analyzed by the Structural Equation Model method which is processed by the SmartPLS 3.0 software. The results of this study indicate that the level of satisfaction of using SAP at PT Asuransi XYZ is determined by the quality of information and work expectations. user goals may impact SAP's reuse intentions. Likewise, the intention to use can have an impact on the actual use of SAP