scholarly journals Effect of Robo-Taxi User Experience on User Acceptance: Field Test Data Analysis

2021 ◽  
pp. 036119812110415
Author(s):  
Sunghee Lee ◽  
Soyoung Yoo ◽  
Seongsin Kim ◽  
Eunji Kim ◽  
Namwoo Kang
Keyword(s):  
User Experience ◽  
Statistical Models ◽  
Structural Equation ◽  
User Acceptance ◽  
Equation Modeling ◽  
Perceived Safety ◽  
Taxi Service ◽  
Meaningful Relationships ◽  
Service Experiences ◽  
Depth Interviews

With the advancement of self-driving technology, the commercialization of robot taxi (Robo-taxi) services is expected. However, there is some skepticism as to whether such taxi services will be successfully accepted by real customers because of perceived safety-related concerns; therefore, studies focused on user experience have become more crucial. Although many studies statistically analyze user experience data obtained by surveying individuals’ perceptions of Robo-taxis or indirectly through simulators, there is a lack of research that statistically analyzes data obtained directly from actual Robo-taxi service experiences. Accordingly, based on the user experience data obtained by implementing a Robo-taxi service in the downtown of Seoul and Daejeon in South Korea, this study quantitatively analyzes the effect of user experience on user acceptance through structural equation modeling and path analysis. Balanced and highly valid insights were also obtained by re-analyzing meaningful relationships obtained through statistical models based on the results of in-depth interviews. The results revealed that the experience of the traveling stage had the greatest effect on user acceptance, and the cutting-edge nature of the service and apprehension of technology were emotions that had a significant effect on user acceptance. Based on these findings, guidelines are suggested for the design and marketing of future Robo-taxi services.

Developing the Assessment and Indicators for Local Institutions in Dealing with Forest Fire Dilemma

2020 ◽  
Vol 11 (1) ◽  
pp. 163-163
Author(s):  
Eko Priyo Purnomo ◽  
Agustiyara ◽  
Rijal Ramdani ◽  
Dina Wahyu Trisnawati
Keyword(s):  
Forest Management ◽  
Forest Fire ◽  
Structural Equation ◽  
Equation Modeling ◽  
Local Institutions ◽  
Microsoft Excel ◽  
Organization Capacity ◽  
The Government ◽  
Depth Interviews ◽  
Fire Incidence

This study analyzes the main criteria and indicators in strengthening local institutions in charge of forest management towards dealing with forest fire incidence in Riau Province, Indonesia. Data were collected using in-depth interviews, observation, and questionnaires and analyzed with Microsoft Excel spreadsheets and other Structural Equation Modeling (SEM) techniques such as SPSS and Smart PLS. Moreover, only 87 out of the 120 questionnaires administered to related stakeholders were retrieved. Four variables, including Organization, Capacity, Authority, and Governance, were measured using ten indicators for each. The results showed a significant correlation between local institutions and these variables in solving forest management issues. It means there is a need to strengthen the institutions' structural plans to ensure the effective management of natural resources, and this is achievable through the support and help of the government and communities. Keywords: forest fire, local institutions, forest management.

User experience sharing

2018 ◽  
Vol 52 (5/6) ◽  
pp. 1154-1184 ◽  
Author(s):  
Tom Chen ◽  
Judy Drennan ◽  
Lynda Andrews ◽  
Linda D. Hollebeek
Keyword(s):  
User Experience ◽  
Online Communities ◽  
Structural Equation ◽  
Online Survey ◽  
Mobile App ◽  
Equation Modeling ◽  
Content Type ◽  
Key Driver ◽  
The Relationship ◽  
Level Of Effort

PurposeThis paper aims to propose user experience sharing (UES) as a customer-based initiation of value co-creation pertaining to service provision, which represents customers’ level of effort made for the direct benefit of others in their service network. The authors propose and empirically examine a user experience sharing model (UESM) that explicates customer-to-customer (C2C) UES and its impacts on firm-desired customer-based outcomes in online communities.Design/methodology/ApproachBased on an extensive review, the authors conceptualize UES and UESM. By using online survey data collected from mobile app users in organic online communities, the authors performed structural equation modeling analyses by using AMOS 24.FindingsThe results support the proposed UESM, showing that C2C UES acts as a key driver of both firm-desired customer efforts and customer insights. The results also confirmed that service-dominant (S-D) logic-informed motivational drivers exert a significant impact on C2C UES. Importantly, C2C UES mediates the relationship between S-D logic-informed motivational drivers and firm-desired customer-based outcomes.Originality/valueThis study offers a pioneering attempt to develop an overarching concept, UES, which reflects customers’ initiation of value co-creation, and to empirically examine C2C UES. The empirical evidence supports the key contention that firms should proactively facilitate C2C UES.

Effect of social capital on agribusiness diversification intention in the emerging market

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Le Dang Lang ◽  
Abhishek Behl ◽  
Nguyen Trung Dong ◽  
Yama Temouri ◽  
Nguyen Hong Thu
Keyword(s):  
Social Capital ◽  
Global Economy ◽  
Structural Equation ◽  
Emerging Market ◽  
Measurement Scale ◽  
Equation Modeling ◽  
Group Discussions ◽  
Content Type ◽  
Depth Interviews

PurposeCoronavirus disease 2019 (COVID-19) has seriously affected the global economy. How agribusinessmen are overcoming this crisis is being noticed in emerging markets. Using social capital to diversify agribusiness for getting more customers is a useful solution for the growth of agribusiness. However, there is a lack of evidence on the aggregate measurement scale of social capital and the influence of behavioral goals on the intention toward agribusiness diversification. Therefore, this study aims to develop an integrated measurement of social capital and investigate its effect on agribusiness diversification intention using the expanded theory of planned behavior (TPB).Design/methodology/approachA mixed-methods approach is used, including four in-depth interviews, three focus group discussions and two surveys. Structural equation modeling is applied to a sample of 484 respondents to test the proposed hypotheses.FindingsThe study shows the role of social capital in influencing the intention to diversify agribusiness under the premises of the resource-based view (RBV). The scale of social capital is also developed, which is the first integrated measurement of this asset. The findings contribute significantly to the existing knowledge of social capital, the TPB and diversifying agribusiness.Originality/valueThis is the first study to explore the comprehensive effect of the facets of social capital on behavioral intention through behavioral goals and determinants of the TPB under the premises of the RBV. The findings will help emerging economies, for example, Vietnam, where most farmers are family business owners or microscaled entrepreneurs in agriculture.

scholarly journals Analisis penerimaan pengguna aplikasi e-Kinerja dengan metode TRAM dan EUCS pada kepolisian

Teknologi ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 93-109
Author(s):  
Anthony Eko Hadisuwarno ◽  
◽  
Rahadian Bisma ◽  
Keyword(s):  
Theoretical Model ◽  
User Satisfaction ◽  
Structural Equation ◽  
Sampling Technique ◽  
User Acceptance ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Technology Readiness ◽  
Acceptance Model

This study aims to determine user acceptance and what factors influence user acceptance of E-Kinerja. The theoretical model used is a combination of the theoretical model of technology adoption of TRAM (Technology Readiness Acceptance Model) and EUCS (End User Computing Satisfaction). For example, the intention to use variable in the TRAM (Technology Readiness Acceptance Model) model is used as a link between the two models in this study. This research was conducted in Sidoarjo Police by using a questionnaire that was distributed directly as a source of data with probability sampling technique involving the participation of 229 respondents from Sidoarjo Police as members of the e-Kinerja application. The data analysis technique used is PLS-SEM (Partial Least Square-Structural Equation Modeling). The results of this study state that there are seven positive and ten negative hypotheses. The findings of this study are the user's intention to positively influence user satisfaction in using the e-Kinerja application which can be interpreted that the user feels satisfied and accepts the e-Kinerja application as an information system that can help reporting and calculating the performance of each member of the Sidoarjo Police.

scholarly journals Depressive symptoms and web user experience

PeerJ ◽  
2018 ◽  
Vol 6 ◽  
pp. e4439 ◽  
Author(s):  
Meinald T. Thielsch ◽  
Carolin Thielsch
Keyword(s):  
Depressive Symptoms ◽  
Mental Disorders ◽  
User Experience ◽  
Structural Equation ◽  
Drop Out ◽  
Equation Modeling ◽  
Subjective Perception ◽  
Depression Severity ◽  
Symptoms Of Depression ◽  
The Impact

Background Depression, as one of the most prevalent mental disorders, is expected to become a leading cause of disability. While evidence-based treatments are not always easily accessible, Internet-based information and self-help appears as a promising approach to improve the strained supply situation by avoiding barriers of traditional offline treatment. User experience in the domain of mental problems therefore emerges as an important research topic. The aim of our study is to investigate the impact of depressive symptoms on subjective and objective measures of web user experience. Method In this two-part online study (Ntotal = 721) we investigate the relationship between depressive symptoms of web users and basic website characteristics (i.e., content, subjective and objective usability, aesthetics). Participants completed search and memory tasks on different fully-functional websites. In addition, they were asked to evaluate the given websites with standardized measures and were screened for symptoms of depression using the PHQ-9. We used structural equation modeling (SEM) to determine whether depression severity affects users’ perception of and performance in using information websites. Results We found significant associations between depressive symptoms and subjective user experience, specifically of website content, usability, and aesthetics, as well as an effect of content perception on the overall appraisal of a website in terms of the intention to visit it again. Small yet significant negative effects of depression severity on all named subjective website evaluations were revealed, leading to an indirect negative effect on the intention to revisit a website via impaired content perceptions. However, objective task performance was not influenced by depressiveness of users. Discussion Depression emerges as capable of altering the subjective perception of a website to some extend with respect to the main features content, usability, and aesthetics. The user experience of a website is crucial, especially as it facilitates revisiting a website and thus might be relevant in avoiding drop-out in online interventions. Thus, the biased impression of persons affected by symptoms of depression and resulting needs of those users should be considered when designing and evaluating E-(Mental)-Health-platforms. The high prevalence of some mental disorders such as depression in the general population stresses the need for further investigations of the found effects.

Understanding Ant Forest continuance: effects of user experience, personal attributes and motivational factors

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Muhammad Ashfaq ◽  
Qingyu Zhang ◽  
Abaid Ullah Zafar ◽  
Mehwish Malik ◽  
Abdul Waheed
Keyword(s):  
User Experience ◽  
Structural Equation ◽  
Motivational Factors ◽  
Personal Attributes ◽  
Equation Modeling ◽  
Content Type ◽  
Mobile Gaming ◽  
Cognitive Experience ◽  
Affective Experiences ◽  
Forest Users

PurposeTechnology has emerged as a leading tool to address concerns regarding climate change in the recent era. As a result, the green mobile application – Ant Forest – was developed, and it has considerable potential to reduce negative environmental impacts by encouraging its users to become involved in eco-friendly activities. Ant Forest is a novel unexplored green mobile gaming phenomenon. To address this gap, this study explores the influence of user experience (cognitive experience and affective experience), personal attributes (affection and altruism) and motivational factors in game play (reward for activities and self-promotion) on the continuation intention toward Ant Forest.Design/methodology/approachThe authors assessed the data using partial least squares structural equation modeling (PLS-SEM) for understanding users' continuation intention toward Ant Forest.FindingsThrough a survey of 337 Ant Forest users, the results reveal that cognitive and affective experiences substantially affect Ant Forest continuation intention. Personal attributes and motivational factors also stimulate users to continue using Ant Forest.Originality/valueThe authors build and confirm a conceptual framework to understand users' continuation intention toward a novel unexplored Ant Forest phenomenon.

scholarly journals The Importance of Service Experience, Trust, and Satisfaction on Banking Customer Loyalty

2021 ◽  
Vol 6 (3) ◽  
pp. 92-98
Author(s):  
Desia Indriastuti ◽  
Anas Hidayat
Keyword(s):  
Customer Loyalty ◽  
Significant Influence ◽  
Structural Equation ◽  
Sampling Technique ◽  
Equation Modeling ◽  
Direct Effects ◽  
Service Experience ◽  
Calculation Technique ◽  
Big City ◽  
Service Experiences

This research aims to analyze service experience and trust on satisfaction, analyze service experience and trust on loyalty as well as to analyze the effect of satisfaction on loyalty. This research was conducted by taking credit customers from Bank Rakyat Indonesia in Yogyakarta, a special big city in Indonesia. This research has utilized a purposive sampling technique. The number of samples as respondents in the study were 250 people. The calculation technique used in this study is the AMOS Structural Equation Modeling. The results showed that there are significant influence of Service Experience and Trust on Satisfaction; and also, there are significant influence of Service Experience, Trust and Satisfaction on Loyalty. Based on direct and direct effects analysis among independent variables, Customer Satisfaction is found as a significant role of mediating, since total effects of Service Experiences and Trust toward Customer loyalty are bigger results than their direct effects.

scholarly journals The Circular Economy Business Model: Examining Consumers’ Acceptance of Recycled Goods

2020 ◽  
Vol 10 (2) ◽  
pp. 28 ◽  
Author(s):  
Cristina Calvo-Porral ◽  
Jean-Pierre Lévy-Mangin
Keyword(s):  
Circular Economy ◽  
Purchase Intention ◽  
Structural Equation ◽  
Business Models ◽  
Production Model ◽  
Equation Modeling ◽  
Economic Sustainability ◽  
Perceived Safety ◽  
Empirical Foundation

The circular economy strategy supports the transformation of the linear consumption model into a closed-production model to achieve economic sustainability, with the consumers’ acceptance of circular products being one of the major challenges. Further, one important aspect of product circularity remains unexplored, such as the consumers’ purchase intention of recycled circular goods. In this context, the present study proposes and tests a conceptual model on consumers acceptance of recycled goods through PLS Structural Equation Modeling (PLS-SEM), based on the data obtained from 312 respondents. Results indicate that the positive image of circular products is the most important driver of consumers’ acceptance, followed by the product perceived safety. This study provides an empirical foundation for the important role of consumers in circular economy business models through the examination of consumers’ acceptance of recycled goods.

A Liberating-Engagement Theory of Consumer Fun

2021 ◽  
Author(s):  
Travis Tae Oh ◽  
Michel Tuan Pham
Keyword(s):  
Structural Equation ◽  
Social Connectedness ◽  
Psychological Theory ◽  
Equation Modeling ◽  
Consumer Society ◽  
Business Practices ◽  
Theory Approach ◽  
Engagement Theory ◽  
Grounded Theory Approach ◽  
Depth Interviews

Abstract The experience of fun plays a major role in the consumer society. Drawing on a grounded theory approach, we advance a psychological theory of consumer fun. Through an integration of in-depth interviews, narrative analyses, controlled experiments, structural equation modeling, and a photo-ethnography, our multimethod investigation makes four main contributions. First, we show that the experience of fun rests on the combination of two psychological pillars: hedonic engagement and a sense of liberation. Fun is an experience of liberating engagement—a temporary release from psychological restriction via a hedonically engaging activity. Second, we identify four situational facilitators—novelty, social connectedness, spontaneity, and spatial/temporal boundedness—that promote the experience of fun through their effects on hedonic engagement and the sense of liberation. Third, we show that although the psychology of fun is not consumption specific, there is an intimate connection between fun and consumption. Finally, we clarify the relation and distinction between fun and happiness. We discuss implications for our understanding of consumption experiences, business practices related to the engineering of fun, and consumers’ own pursuits of fun and happiness.

scholarly journals MEASURING THE PERCEPTION OF SAFETY AMONG TAIWAN CONSTRUCTION MANAGERS

2013 ◽  
Vol 19 (1) ◽  
pp. 37-48 ◽  
Author(s):  
Wei Tong Chen ◽  
Chun Sheng Lu ◽  
Shu-Shun Liu ◽  
Min-Shun Wang
Keyword(s):  
Structural Equation ◽  
Human Error ◽  
Public Works ◽  
Equation Modeling ◽  
Perceived Safety ◽  
Perception Of Safety ◽  
The Social ◽  
Construction Accidents ◽  
And Control ◽  
And Training

Using Statistical Package for the Social Science (SPSS) and Structural Equation Modeling (SEM), this study develops a model to evaluate construction managers’ perception of safety as relates to six aspects: human error (HE), safety resource and application (SRA), safety equipment and training (SET), site culture and external factors (SCF), safety inspection and audit (SIA), and accident medium and activities (AMA). The model was used to identify and compare the level of safety perceived by Taiwanese construction managers including safety managers, contractor managers, public works managers, design and audit managers, owner audit and control managers, and others. Analysis reveals that safety managers have the highest perception of safety while owner audit and control managers have the lowest. Surprisingly, public works managers and design and audit managers have lower levels of perceived safety than do contractor managers. Apparently, reinforcing the perception of safety between these two types of construction personnel is important to reducing construction accidents in Taiwan.

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