Understanding purchasing intentions in secondary sports ticket websites

Author(s):  
Taesoo Ahn ◽  
Young Ik Suh ◽  
Jin Kyun Lee ◽  
Paul M Pedersen

The purpose of this study was to examine purchasing intentions in online sports ticketing websites. Based on previous research related to business-to-consumer (B2C) e-commerce, this study developed a conceptual model to test the effect of perceived risk, trust and the Technology Acceptance Model (TAM) on purchase intentions in online secondary ticket websites. College students (N = 251) from the northeastern region of the United States were chosen as the sample. Structural Equation Modeling (SEM) was used to investigate the proposed relationships among four major components (i.e. perceived risk, trust, TAM and behavioural intention). The results showed that there were positive effects of key TAM constructs (i.e. perceived usefulness and ease of use) and trust on purchasing intention, but perceived risk was not a significant indicator of purchase intention.

2018 ◽  
Vol 118 (8) ◽  
pp. 1647-1670 ◽  
Author(s):  
Wangyue Zhou ◽  
Zayyad Tsiga ◽  
Boying Li ◽  
Shuning Zheng ◽  
Shuli Jiang

Purpose The purpose of this paper is to identify antecedents of e-finance continuance intention with Alibaba’s Yu’E Bao as an example. Design/methodology/approach An online questionnaire was used to collect the data (n=293), and partial least squares structural equation modeling was employed for data analysis. Four e-finance features (perceived reputation, website quality, e-finance familiarity and situational normality) are introduced with trust acting as a moderator between the users’ satisfaction and continuance intention to use an e-finance platform. Findings The results find that website quality, familiarity and situational normality can influence perceived ease of use (PEOU) and perceived usefulness (PU). PEOU and PU, together with reputation, are positively associated with confirmation which further leads to satisfaction. The positive effects that satisfaction and trust have on e-finance continuance intention are confirmed, and trust is found to be a significant moderator on the relationship between satisfaction and continuance intention. Practical implications The findings can be used to guide e-finance providers to improve their platform design and services to retain users. Originality/value This study combines the theory of trust, Technology Acceptance Model and Expectations Confirmation Theory to investigate the factors that influence the continuance intention in the context of e-finance in China.


2020 ◽  
Vol 11 (3) ◽  
pp. 543-558
Author(s):  
Joanna Kowalczyk-Anioł ◽  
Marek Nowacki

Purpose This study aims to identify the factors which affect Generation Y’s activity in social media (SM) while traveling. It draws on and extends the technology acceptance model (TAM) and social influence theory. It examines the effects of social influence processes (compliance, identification and internalization), perceived enjoyment (PE), perceived risk, perceived ease of use and perceived usefulness on tourism-related SM activity. Design/methodology/approach The study tested the model with a sample of 420 Polish Y’s who had traveled in the preceding 12 months and used SM. The verification of the hypotheses and the analysis of relationships between the variables were performed using partial least squares structural equation modeling. Findings Out of the four variables of the TAM, only PE has significantly and directly affected Ys’ tourism-related activity in SM. From among the three processes of social influence, only internalization has had a significant impact on the enjoyment of SM use and, consequently, on the SM activity of Generation Y. Research limitations/implications This study covered only Polish Y’s. In the future, the formulated hypotheses should be verified in other generational cohorts, in sub-cohorts of Y’s and in other cultural contexts. Furthermore, limitations include lack of randomization of the survey distribution. Practical implications The presented results show a generational portrait of an increasingly important consumer group on the tourism market in relation to factors affecting their tourism-related activity in SM. Originality/value This is one of few studies (the first in the Central and Eastern Europe context) to examine Generation Y’s adoption of SM in tourism-related activity drawing on and extending the TAM and processes of social influence.


2020 ◽  
Vol 13 (3) ◽  
pp. 164
Author(s):  
Anggit Esti Irawati ◽  
Ehrmann Suhartono

<p>Potensi penggunaan e-money sangat besar dan menarik perhatian sebagai cara pembayaran alternatif di seluruh dunia. Pemerintah melalui Bank Indonesia menggerakkan masyarakat untuk melakukan Gerakan Nasional Non Tunai (GNNT). Namun, hanya lapisan masyarakat tertentu yang sudah terbiasa menggunakan transaksi dengan <em>e-money</em>. Sebagian masyarakat beranggapan bahwa transaksi pembayaran menggunakan <em>e-money</em> masih terdapat banyak kekurangan. Penelitian ini bertujuan untuk menguji <em>Technology Acceptance Model</em> (TAM) yaitu <em>perceived ease of use</em> dan <em>perceived usefulness</em>, selain itu juga menambahkan <em>perceived risk</em> untuk mengetahui pengaruh terhadap <em>attitude toward using</em> dan <em>actual use</em> terhadap penggunaan aplikasi LinkAja. Metode analisis menggunakan <em>Structural Equation Modeling</em> (SEM) dengan alat analisis SmartPLS. Penelitian ini dilakukan dengan metode survei dan sampel diambil menggunakan teknik <em>purposive sampling</em> terhadap responden yang menggunakan aplikasi LinkAja di seluruh Indonesia. Responden yang diperoleh sebanyak 200 responden. Hasil penelitian menunjukkan bahwa <em>perceived ease of use</em> dan <em>perceived usefulness</em> berpengaruh positif signifikan terhadap <em>attitude toward using</em> dan <em>actual use</em>. <em>Perceived risk</em> tidak berpengaruh signifikan terhadap <em>actual use</em> aplikasi LinkAja.</p>


2018 ◽  
Vol 120 (2) ◽  
pp. 290-308 ◽  
Author(s):  
Ipek Kazancoglu ◽  
Emel Kursunluoglu Yarimoglu

Purpose The purpose of this paper is to predict customers’ intentions to use self-checkouts based on the technology acceptance model (TAM). Design/methodology/approach The questionnaire consisted of constructs taken from the existing literature such as perceived ease of use (PEU), perceived usefulness (PU), behavioral intentions, technology anxiety (TA), perceived risk (PR), need for interaction (NI), and situational factors (SF). Before preparing the questionnaire, the focus group studies were organized to gain deeper insights regarding customers’ views about self-checkouts. Based on the results of the focus groups, some items in the constructs were adapted, and the questionnaire was generated. The field study was conducted via face-to-face survey with 500 customers chosen by stratified random sampling. Confirmatory factor analysis and structural equation modeling were used to validate the relationships hypothesized in the conceptual model among constructs. Findings Out of the 16 hypotheses, 10 were found to be significant. The hypotheses related to the effects of PR, PEU, PU, intentions, while the effects of NI on PU and intentions; the effects of SF on intentions were not accepted in the study. According to the findings, PEU, PU, and TA affected intentions whereas PR, NI, and SF did not. Research limitations/implications There were some limitations related to demographics, attitudes, SF, and actual usage of self-checkouts. Practical implications To avoid queues, retailers should install a sufficient number of user-friendly and simple interfaced self-checkouts with well-trained employees to encourage usage and reduce the perceived risk and anxiety. Originality/value The main contribution of this study was that the effects of different constructs were measured on Turkish customers’ intentions to use self-checkouts, which could be used in formulating marketing strategies as well as considering future research directions. The paper also provided additional insights into the effects of SF, TA, NI, and PR, all of which were added to the TAM in this study.


2021 ◽  
Vol 12 ◽  
Author(s):  
Aiting Xu ◽  
Wei Li ◽  
Zhiyu Chen ◽  
Shouzhen Zeng ◽  
Llopis-Albert Carlos ◽  
...  

Under the catalysis of knowledge anxiety and cognitive surplus, knowledge sharing platforms has experienced rapid growth, which has accelerated the integration of knowledge resources online. As with all new successful and sustainable business products, the consumers will play an important role in the future development of online paid knowledge. Therefore, we constructed an extended technological acceptance model by examining factors that influence young Chinese people's willingness to pay for online paid knowledge. The study surveyed 405 young Chinese participants, in which the extended technological acceptance model was tested by using structural equation modeling. Findings indicate that perceived ease of use is positively associated with perceived usefulness and associated attitudes, whereas perceived usefulness and attitude is positively associated with purchase intention. Perceived risk and group conformity are found to indirectly affect consumers' willingness to pay. The study advances the current body of knowledge by empirically testing the impact of perceived risk and the role of cultural influence (group conformity) on purchasing intention. Finally, theoretical and practical implications are discussed.


2018 ◽  
Vol 10 (9) ◽  
pp. 3185 ◽  
Author(s):  
Junic Kim

This study examines the factors influencing the choices of Internet platform services by applying the technology acceptance model. For this purpose, the analysis is conducted with 222 people who use different types of Internet platforms by utilizing structural equation modeling. The results show that perceived usefulness had positive effects on the intention to use, perceived ease of use, diversity, and security risks affected by the perceived usefulness, and the indirect influences on the intention to use. In addition, satisfaction (in relation to service quality) was found to affect both perceived ease of use and perceived usefulness. This research is significant because it will make it possible to predict users’ perceptions of Internet platforms, which is important for establishing relevant strategies.


Author(s):  
Mohammad Daradkeh

Visual analytics is increasingly being recognized as a source of competitive advantage. Yet, limited research has examined the factors deriving it organizational adoption. By integrating the technology acceptance model (TAM) with the task-technology fit (TTF) model, this research developed a model for visual analytics adoption in business enterprises. To test the research model, data was collected through a questionnaire survey distributed to 400 business professionals working in a variety of industries in Jordan. Collected data were tested and analyzed using structural equation modeling (SEM) technique. Findings of this research confirmed the applicability of the integrated TAM/TTF model to explain the key factors that affect the adoption of visual analytics systems for work-related tasks. Specifically, the results of this research demonstrated that the task, technology, and user characteristics are fundamental and influential antecedents of TTF, which in turn has a significant positive effect on the perceived usefulness and perceived ease of use of visual analytics systems. Additionally, there are significant positive effects from perceived usefulness and perceived ease of use toward users' intention to adopt visual analytics systems, and a firm relationship between perceived ease of use and perceived usefulness of visual analytics systems. Together all these constructs explain 59.9% of the variance in user's intention to adopt visual analytics systems at the workplace. Findings of this research provide several important implications for research and practice, and thus should help in the design and development of more user-accepted visual analytics systems and applications.


Author(s):  
Zhiyuan Yu ◽  
Doudou Jin

With the accelerating industrialization of 5G-V2X and smart automobiles, the intelligent connected vehicle (ICV) integrated with sophisticated communication, caching, computing, and control techniques enhance the functionality of in-vehicle infotainment (IVI) and also provide more powerful telematic or entertainment choices in vehicular environment. The diverse needs of ICV users (e.g., drivers and passengers) can be satisfied during commuting and traveling. However, considering the limitations of transportation environment, the potential attitude and usage behavior for the upcoming ICV infotainment directly impacts on the traffic and road safety in sustainable cities. In this paper, we conduct an online and offline survey to investigate the key factors influencing the user attitude and intention of ICV infotainment, where the answers of a total of 502 valid respondents (i.e., IVI users) are collected in China. A conceptual technology acceptance model with the constructs of perceived usefulness (PU), perceived ease of use (PEOU), social influence (SI), consumer innovation (CI), and perceived risk (PR) is established, and then assessed via partial least square structural equation modeling. We find that the constructs of PU, PEOU, CI, and SI have a direct impact on attitude and usage intention, of which 46.8% and 73.4% of variance, respectively, are explained. The respondents show positive attitudes and higher usage intention towards the ICV infotainment. Although PR has insignificant path with attitude and intention, the driving experience moderation effect exists between PR and usage intention. We can see that ICV infotainment will become a trend in future transportation scenario. Through this survey, reference for traffic safety and usage norms will be provided to reduce the risky of public health issues (e.g., traffic accidents) in the context of ICV infotainment.


2021 ◽  
Vol 10 (1) ◽  
pp. 31
Author(s):  
Novena Hasiani Tampubolon ◽  
Nuning Setyowati ◽  
Raden Kunto Adi

This research aims to determine factors that influence the culinary MSMEs intention to use Go-Food in Surakarta using Technology Acceptance Model (TAM) modification. Factors are perceived resources, perceived usefulness, perceived ease of use, attitude towards using, and relative advantage. The basic research method is the descriptive method. The method of location determination is purposive. The method of sample determination is purposive sampling with many samples of 60 respondents. Data collection tools using questionnaires. The data analysis method is Structural Equation Modeling (SEM). Data analysis tools using Partial Least Square (PLS) with SmartPLS 3.0. software. The research results show that perceived resources have a positive effect on perceived usefulness and perceived ease of use, perceived usefulness and perceived ease of use have positive effects on attitude towards using, perceived usefulness and perceived ease of use have positive effects on relative advantage, attitude towards using and relative advantage have positive effects on behavior intention to use Go-Food in Surakarta.Keywords: Culinary MSMEs, Go-Food, Modified Technology Acceptance Model, Structural Equation Modeling


Author(s):  
Yoon C. Cho ◽  
Esen Sagynov

Various studies have examined the effects of factors on online attitudes and behavior. By applying the Technology Acceptance Model, this study is focused on investigating factors that affect customers online purchasing behavior. In particular, this study examines i) effects of such factors as product information, price, convenience, and perceived product or service quality on perceived usefulness; ii) effects of convenience, perceived product or service quality, and desire to shop without a salesperson on perceived ease of use; iii) effects of perceived ease of use on perceived usefulness; iv) effects of perceived ease of use and usefulness on intentions to shop online; and v) effects of trust on purchase intentions. The data collected online and offline were analyzed using factor and regression analysis, and structural equation modeling. The results of this study indicate that perceived usefulness, perceived ease of use, and trust had a statistically significant effect on behavioral intention to shop on the Internet.


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