Role of psychological and technological attributes on customer conversion to use food ordering apps

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sunil Atulkar ◽  
Ashish Kumar Singh
Keyword(s):  
Structural Equation ◽  
Mobile Apps ◽  
Equation Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Customer Relationship ◽  
Perceived Ease Of Use ◽  
Content Type ◽  
Perceived Price

PurposeToday the mobile apps are helping customers in every means of their life by exploring information related to electronic items and even for food items also. Therefore, the main aim of this study is to examine the influencing role of psychological and technological attributes on customer conversion to use food ordering apps.Design/methodology/approachConvenience sampling method was used to collect responses from the customer's age between 18 and 35 years to get more representation of society. 374 customer's data has been used for structural equation model analysis with the help of SmartPLS 3.0 and SPSS-20 software.FindingsFindings showed that customer conversions are positively influenced by perceived ease of use, perceived usefulness, perceived incentives, perceived information, customer relationship management and order management system. In contrast, the perceived price and visual design show insignificant influence.Research limitations/implicationsResearch outcome provides some valuable insights to provide direction to all online food aggregators to design their apps according to customers need. Thus, the authentic customer reviews and the facility of providing feedbacks are very fruitful for attracting new user while using and placing orders through theses apps.Practical implicationsStudy suggested that observing satisfaction and dissatisfaction levels of the customer helps in enhancing the facilities of food ordering apps, so that the customer would enjoy the whole order process seamlessly, which automatically leads to customer conversions.Originality/valueMajor contribution of this study is the empirical analysis of psychological and technological attributes on customer's conversion towards food ordering app.

scholarly journals Analyzing Drivers’ Intention to Accept Parking App by Structural Equation Model

2020 ◽  
Vol 2020 ◽  
pp. 1-11 ◽  
Author(s):  
Chang Yang ◽  
Xiaofei Ye ◽  
Jin Xie ◽  
Xingchen Yan ◽  
Lili Lu ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Mobile Apps ◽  
Equation Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Acceptance Model ◽  
The Relationship

With the concept of sharing economic entering into our lives, many parking Apps are designed for connecting the drivers and vacated parking spaces. However, there are not many drivers who use the mobile Apps to reserve and find available parking spaces, which is largely due to the insufficient information provided by the parking App. In order to better explain, predict, and improve drivers’ acceptance of parking App, the conceptual framework based on technology acceptance model was developed to establish the relationships between the drivers’ intention to accept parking App, trust in parking App, perceived usefulness of parking App, and perceived ease of its use. Then structural equation model was established to analyze the relationship between various variables. The results show that the trust in parking App, perceived usefulness, perceived ease of use, and parking App attributes are the main factors that determine the intention to use parking App. Through the test of direct effect, indirect effect, and total effect in the model, it is found that perceived usefulness has the largest total impact on acceptance intention, with a standardized coefficient of 0.984, followed by parking App attribute (0.743), perceived ease of use (0.384), and trust in parking App (0.381).

Analisis Faktor-Faktor Yang Mempengaruhi Willingness To Subscribe: Telaah Pada Layanan Video On Demand Netflix

2017 ◽  
Vol 9 (1) ◽  
pp. 22-38
Author(s):  
Venni Ariestya Hasan
Keyword(s):  
Video Streaming ◽  
Structural Equation ◽  
Video On Demand ◽  
Equation Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Free Trial ◽  
Other Hand ◽  
Perceived Price

The present study is to identified factors that affecting the willingness of subscribe of video streaming services which is Netflix. The conceptual framework for this study included two antecedents of behavioral intention as proposed by TAM which are Perceived ease of use and Perceived usefulness. On other hand, four first order construct interactivity, perceived price, content richness, and free alternative was added to the framework. Theoretical model in this study are presented with 6 hypotheses to be tested with structural equation model. Sampe data was collected using questionnaire method from 140 respondents who are aware of Netflix and already tried the free trial offer from Netflix. The result derived from fitting the SEM on the sample indicated that Willingness to subscribe is positively influenced by Content Richness, Perceived Usefulness, perceived ease of use, but negatively influenced by Free Alternatives and Perceived price. On the other hand, result shows no significant effect between Interactivity and Willingness to Subscribe Keywords: Video streaming, Perceived ease of use, Perceived usefulness, Content Richness, Willingness to Subscribe

scholarly journals Students Acceptance of Google Classroom: An Exploratory Study using PLS-SEM Approach

2018 ◽  
Vol 13 (06) ◽  
pp. 112 ◽  
Author(s):  
Rana A. Saeed Al-Maroof ◽  
Mostafa Al-Emran
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Equation Model ◽  
Ease Of Use ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Least Square ◽  
Perceived Ease Of Use ◽  
Online Questionnaire ◽  
Actual Usage

Google classroom can work in unidirectional process as it can serve the teachers’ strategies and styles on one hand and students’ perception, understanding, and effective participation in different classroom skills on the other hand. The ac-ceptance of Google classroom is affected by different factors. Some of them are still not clearly specified and discussed in previous research; therefore, they need further investigation. Based on the previous assumption, this study is an attempt to examine the factors that affect the students’ acceptance of Google classroom at Al Buraimi University College (BUC) in Oman. The Technology Acceptance Model (TAM) was adopted to formulate the hypotheses of the current study. The data was collected through an online questionnaire with 337 respondents. The Partial Least Square-Structural Equation Model (PLS-SEM) approach was used to assess both the measurement and structural models. The results of the study prove that both the perceived ease of use (PEOU) and perceived usefulness (PU) positively influence the behavioral intention, which in turn influence the actual usage of Google classrooms. This study helps the decision makers of the higher educational institutions to have a better understanding of the effectiveness of us-ing Google classroom by their students. It is assumed that it helps in measuring the level of students’ acceptance to the previously mentioned technology.

Examining the intentions of a Ghanaian technical university students to use e-library

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Eugene Okyere-Kwakye ◽  
Khalil Md Nor
Keyword(s):  
University Students ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Content Type ◽  
Library Resources ◽  
Technical University

Purpose Electronic library (E-library) is a form of computer mediated system that uses electronic media, such as Web/internet devices and distributes resources to improve on the quality of teaching and learning. Students’ use of e-library for learning is essential and as such the government has invested hugely into its subscription for several university libraries in Ghana. However, most university students feel reluctant to use the e-library resources for their studies. The purpose of this paper is therefore to examine the factors that influence students’ intention to use e-library resources for their studies. Design/methodology/approach Questionnaire was used to collect data from 200 students from one Technical University in Ghana. Structural equation modeling (SmartPLS) was used to analyze the data. Findings The study found that accessibility, attitude, perceived ease of use, perceived usefulness and relevance to studies have positive significant effect on students’ attitude to use e-library. In addition, self-efficacy, subjective norm and attitude have positive significant influence on students’ intention to use e-library. Research limitations/implications Although the sample frame used for this study may be unique, but the total amount of data collected was limited to providing the general representative of the Ghanaian students in one particular university. Other researchers may consider collecting data from other universities to extend the sample frame for a larger sample size of students. Practical implications Academic administrators need to organize training and workshops on how to use the e-library portal for their search and other didactic assignments. Most importantly, students should be given IT or internet tutorials as foundation for the use of the e-library portal. Social implications Universities have to provide internet access such as hotspot and network routers at the labs, classrooms and other vantage points. It is believed that with these in place, adequate access to the internet would promote students’ engagement on the e-library facility. Originality/value The study examines the factors that influence students’ intention to use e-library resources for their studies in Ghana.

What influence users’ e-finance continuance intention? The moderating role of trust

2018 ◽  
Vol 118 (8) ◽  
pp. 1647-1670 ◽  
Author(s):  
Wangyue Zhou ◽  
Zayyad Tsiga ◽  
Boying Li ◽  
Shuning Zheng ◽  
Shuli Jiang
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
Continuance Intention ◽  
Website Quality ◽  
Content Type ◽  
Positive Effects

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.

MC 2.0: testing an apparel co-design experience model

2015 ◽  
Vol 19 (1) ◽  
pp. 69-86 ◽  
Author(s):  
Juanjuan Wu ◽  
Ju-Young M. Kang ◽  
Cara Damminga ◽  
Hye-Young Kim ◽  
Kim K P Johnson
Keyword(s):  
Social Presence ◽  
Structural Equation ◽  
User Interaction ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Behavioural Intention ◽  
Perceived Ease Of Use ◽  
Content Type ◽  
Theoretical Contribution ◽  
Design Experience

Purpose – The purpose of this paper is to test an online apparel co-design experience model and to investigate six determinants (perceived ease of use, perceived usefulness, enjoyment, level of personalization, social presence, and attitude towards the co-designed product) of online apparel co-design experience and effects on behavioural intention. Design/methodology/approach – Female college students (n=265) were surveyed after an actual online apparel co-design experience in a computer lab and interactions with other users wherever such arenas were provided. structural equation modelling was used for data analysis. Findings – The findings revealed that subjects’ apparel co-design experience was positively affected by enjoyment, attitude towards the co-designed product, perceived ease of use, and social presence. And behavioural intention towards the mass customization sites was positively affected by subjects’ attitude towards the co-design experience, subjective norm, and enjoyment. Originality/value – The research makes a unique theoretical contribution by conceptualizing MC 2.0 (MC sites that provide arenas for user interaction) and by incorporating and confirming the significance of both “enjoyment” and “social presence” variables as predictors of online apparel co-design experience.

The role of personalization on continuance intention in food service mobile apps

2019 ◽  
Vol 31 (2) ◽  
pp. 734-752 ◽  
Author(s):  
Jee-Won Kang ◽  
Young Namkung
Keyword(s):  
Perceived Risk ◽  
Mobile Apps ◽  
Perceived Value ◽  
Food Service ◽  
Ease Of Use ◽  
Perceived Ease Of Use ◽  
Content Type ◽  
Perceived Benefit ◽  
Privacy Calculus

PurposeThis paper aims to examine consumers’ behaviors toward personalized services offered by branded mobile apps in the food service industry by applying privacy calculus theory and technology acceptance model (TAM). Further, this research identified the moderating role of technology anxiety.Design/methodology/approachAn online survey was carried out to investigate the role of personalization on continuance intention toward branded mobile apps. In total, 348 valid responses were analyzed to test hypotheses using structural equation modeling.FindingsThe results show that personalization had significantly affected perceived benefit, perceived risk and perceived ease of use. Perceived benefit had positive effects on perceived value of disclosure, but perceived risk did not affect perceived value of disclosure. Perceived value of disclosure and perceived ease of use were linked to trust. Trust, in turn, positively affected intentions to use mobile apps. With regard to the moderating effect of technology anxiety, it had a significant moderating impact on the relationship between personalization and perceived risk. However, it did not moderate the relationship between personalization and perceived benefit.Practical implicationsThe findings of this study could provide useful theoretical and practical implications related to the successful implementation of mobile marketing.Originality/valueThis study proposes the integrated model of privacy calculus theory and the TAM for deeper understanding of the customers’ responses toward personalization of branded mobile apps.

The role of technology readiness in individuals' intention to use health and fitness applications: a comparison between users and non-users

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Weisheng Chiu ◽  
Heetae Cho
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Negative Impact ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Technology Readiness ◽  
Perceived Ease Of Use ◽  
Content Type ◽  
Health And Fitness ◽  
Acceptance Model

PurposeThe purpose of this study is to examine individuals' decisions to use health and fitness apps by applying the extended technology readiness and acceptance model (TRAM), which combines technology readiness (TR), the technology acceptance model (TAM) and perceived enjoyment (PEN). Moreover, this study explores the differences between users and non-users regarding their intentions to use health and fitness apps.Design/methodology/approachData collection (n = 206) was conducted using convenience sampling from four large universities in South Korea. The data were analysed by partial least squares structural equation modelling (PLS-SEM) using SmartPLS 3.0.FindingsThe results revealed that positive TR positively affects perceived ease of use (PEOU), perceived usefulness (PU) and PEN, while negative TR had a negative impact only on PEN. Furthermore, the significant relationships between PEOU, PU and PEN were identified. In addition, multigroup analyses indicated that the relationships between positive TR and PEN, between PEN and PEOU, between PEOU and PU, and between PU and behavioural intention were positively stronger for app users.Originality/valueThis study initially applied the TRAM to understand individuals' behavioural intentions to use health and fitness apps. Moreover, this study identified the distinct roles of positive and negative TR affecting individuals' cognition regarding using health and fitness apps. The differences in the psychological processes between app users and non-users offer insights and implications for practitioners.

scholarly journals Acceptance of Online Medical Websites: An Empirical Study in China

2019 ◽  
Vol 16 (6) ◽  
pp. 943 ◽  
Author(s):  
Yuan Tang ◽  
Yu-Tao Yang ◽  
Yun-Fei Shao
Keyword(s):  
Public Health ◽  
Technology Acceptance ◽  
Rural Areas ◽  
Perceived Risk ◽  
Structural Equation ◽  
Equation Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Medical Problems

As a new type of public health service product, online medical websites (OMWs) are becoming quite popular. OMWs can address patients’ basic medical problems remotely and give health guidance online. Compared to traditional hospitals, OMWs are more convenient and inexpensive, they can usually provide a better service for patients with poor medical conditions (especially in rural areas), and they also contribute to the rational distribution of medical resources. Therefore, key factors that affect patients’ acceptance of OMWs must be identified to contribute to public health. By integrating perceived risk (PR) and the technology acceptance model (TAM), we proposed a modified TAM and clarified how PR and other factors affect patients’ behavioral intention (BI) towards OMWs. A sample of 245 research participants in China took part in this study and the structural equation model (SEM) was used to test our hypotheses. The results revealed that perceived usefulness (PU) is a positive predictor of BI but has no significant effect on attitude (ATT), while perceived ease of use (PEOU) can affect BI through PU and attitude (ATT). Moreover, trust (TRU) was identified as a mediator of PR and PU/PEOU. Also, the doctor–patient relationship (DPR) was shown to moderate PR and TRU. In order to increase patients’ BI, OMW providers need further innovations to improve patients’ TRU and reduce their PR.

Understanding mobile shopping consumers’ continuance intention

2017 ◽  
Vol 117 (1) ◽  
pp. 213-227 ◽  
Author(s):  
Dawei Shang ◽  
Weiwei Wu
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Integrated Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Continuance Intention ◽  
Content Type ◽  
Mobile Shopping ◽  
User Groups

Purpose The purpose of this paper is to investigate and examine the factors contributing to consumers’ mobile shopping continuance intention (CI) of food and non-food items via smartphones and other mobile terminals. Design/methodology/approach An integrated model was proposed on the basis of the technology acceptance model (TAM) and expectation confirmation model (ECM), focussing on perceived value (PV). The survey responses of 203 Chinese mobile shoppers (m-shoppers) were analysed using structural equation modelling with the partial least squares approach. Findings The results indicated that perceived usefulness does not motivate all user groups. Furthermore, satisfaction and perceived ease of use significantly impacted different user groups. For online food m-shoppers, value for money (VM) was the most important factor influencing satisfaction and CI. However, perceived usefulness only affected CI for non-food m-shoppers. Practical implications Marketers can improve users’ CI by enhancing VM and maximising effectiveness and enjoyment while minimising prices. Moreover, in determining strategies for different users, marketers should identify the behavioural differences among all groups and those between the two classified groups. Originality/value This is one of the studies attempting to explain Chinese mobile shopping consumers’ CI, but especially through an integrated model based on TAM and ECM with PV on food and non-food m-commerce perspective. It offers several implications for researchers and practitioners and contributes to the literature of technology acceptance and post-adoption behaviour in m-commerce.

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