How Does Innovation Attributes of Unmanned Store Affect Consumer Behavior by Service Start Point, Product Type and Gender : Technology Acceptance Model and Constural Level Theory Perspectives

Purpose This paper aims to examine whether a customer’s perceptions of hotel tablet apps serve as determinants of customers’ behavioral intention in terms of the app’s ease of use, usefulness, credibility and subjective norm. It also explored age and gender as moderators of the relationships between these determinants and customers’ behavioral intention as well as customers’ likelihood of using specific app functions across age and gender. Design/methodology/approach A research model, grounded in the technology acceptance model (TAM), used data collected from 751 hotel customers in the USA. The model was tested using confirmatory factor analysis and structural equation modeling. Findings The results showed that three of the four proposed determinants positively influenced customers’ behavioral intention toward hotel tablet apps. Neither gender nor age played significant moderating roles in the relationships between the four determinants and the behavioral intention. The study also revealed age- and gender-related differences in preferences for specific hotel tablet app functions. Practical implications This study helps operators successfully plan for investing in and implementing hotel apps. It assists operators in developing effective marketing strategies by understanding factors influencing customers’ app adoption and between group differences in their preferences on app functions. Originality/value This is the first tablet app adoption study that extends TAM to the hotel industry. Thus, it extends the literature on technology adoption by exploring both existing and new variables and testing them in a new context.

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Empirical Research on Acceptance of Digital Technologies in Medicine Among Patients and Healthy Users: Questionnaire Study

JMIR Human Factors ◽

10.2196/13472 ◽

2019 ◽

Vol 6 (4) ◽

pp. e13472 ◽

Cited By ~ 3

Author(s):

Sabur Safi ◽

Gerhard Danzer ◽

Kurt JG Schmailzl

Keyword(s):

Health Care ◽

Technology Acceptance ◽

Technology Acceptance Model ◽

Digital Health ◽

Age Groups ◽

Digital Technologies ◽

Health Care Sector ◽

Medical Sector ◽

And Gender ◽

Acceptance Model

Background In recent years, interest in digital technologies such as electronic health, mobile health, telemedicine, big data, and health apps has been increasing in the health care sector. Acceptance and sustainability of these technologies play a considerable role for innovative health care apps. Objective This study aimed to identify the spread of and experience with new digital technologies in the medical sector in Germany. Methods We analyzed the acceptance of new health care technologies by applying the Technology Acceptance Model to data obtained in the German ePatient Survey 2018. This survey used standardized questionnaires to gain insight into the prevalence, impact, and development of digital health applications in a study sample of 9621 patients with acute and chronic conditions and healthy users. We extracted sociodemographic data and details on the different health app types used in Germany and conducted an evaluation based on the Technology Acceptance Model. Results The average age of the respondents was 59.7 years, with a standard deviation of 16 years. Digital health care apps were generally accepted, but differences were observed among age groups and genders of the respondents. Men were more likely to accept digital technologies, while women preferred coaching and consultation apps. Analysis of the user typology revealed that most users were patients (n=4041, 42%), followed by patients with acute conditions (n=3175, 33%), and healthy users (n=2405, 25%). The majority (n=6542, 68%) discovered coaching or medication apps themselves on the internet, while more than half of the users faced initial difficulties operating such apps. The time of use of the same app or program ranged from a few days (n=1607, 37%) and several months (n=1694, 39%) to ≥1 year (n=1042, 24%). Most respondents (n=6927, 72%) stated that they would like to receive customized health care apps from their physician. Conclusions The acceptance of digital technologies in the German health care sector varies depending on age and gender. The broad acceptance of medical digital apps could potentially improve individualized health care solutions and warrants governance.

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Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior

Information Systems Research ◽

10.1287/isre.13.2.205.83 ◽

2002 ◽

Vol 13 (2) ◽

pp. 205-223 ◽

Cited By ~ 1333

Author(s):

Marios Koufaris

Keyword(s):

Consumer Behavior ◽

Technology Acceptance ◽

Technology Acceptance Model ◽

Flow Theory ◽

Online Consumer Behavior ◽

Online Consumer ◽

Acceptance Model

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Influence of gender and computer teaching efficacy on computer acceptance among Malaysian student teachers: An extended technology acceptance model

Australasian Journal of Educational Technology ◽

10.14742/ajet.796 ◽

2012 ◽

Vol 28 (7) ◽

Cited By ~ 31

Author(s):

Kung-Teck Wong ◽

Timothy Teo ◽

Sharon Russo

Keyword(s):

Technology Acceptance ◽

Student Teachers ◽

Technology Acceptance Model ◽

Teaching Efficacy ◽

Ease Of Use ◽

Perceived Usefulness ◽

Main Technique ◽

And Gender ◽

Acceptance Model ◽

Computer Teaching

<span>The purpose of this study is to validate the technology acceptance model (TAM) in an educational context and explore the role of gender and computer teaching efficacy as external variables. From the literature, it appeared that only limited studies had developed models to explain statistically the chain of influence of computer teaching efficacy and gender on the intention of student teachers to use computers. A total of 302 student-teachers completed the questionnaire measuring their responses to computer teaching efficacy (CTE), perceived usefulness (PU), perceived ease of use (PEU), attitude toward computer use (ATCU), and behavioural intention (BI). Structural equation modelling (SEM) was used as the main technique for data analysis. The findings from this study suggest that the model was adequately explained by the data. Overall, the model accounted for 36.8% of the variance in intention to use computers among student teachers. The results have also provided support for computer teaching efficacy and gender as significant variables in the TAM. Finally, the implications for theory development, practices, and policy making are discussed.</span>

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Urban Consumer Behavior On Buying Multi-Products On Shopee Using Technology Acceptance Model (TAM)

WIDYAKALA JOURNAL ◽

10.36262/widyakala.v7i2.337 ◽

2020 ◽

Vol 7 (2) ◽

pp. 54

Author(s):

Michael Christian ◽

Halim Agung

Keyword(s):

Consumer Behavior ◽

Technology Acceptance ◽

Technology Acceptance Model ◽

Urban Areas ◽

Social Groups ◽

Ease Of Use ◽

Survey Questionnaire ◽

Technology Usage ◽

Usage Behavior ◽

Acceptance Model

People who live in urban areas can be explained as social groups that are sociologically in the middle class, have a productive life, and are part of social change. Shopee as one of the marketplaces in Indonesia always needs to consider the factor of technology usage that allows users to make purchases with a variety of products (multi-product) available. This study aims to analyze the behavior of using Urban Consumer Behavior with the Technology Acceptance Model (TAM) approach. Data analysis using SMART PLS 3.0 involving 163 samples in Jakarta with survey-questionnaire as a method of data collection. The results of this study explain that two hypotheses were accepted and two more hypotheses were rejected. In this case, Shopee's website/app usage behavior is influenced by the Ease of Use Factor. Furthermore the Benefit factor is influenced by the Ease of Use factor. On the other hand, usage is not influenced by usage behavior. Then the use is not influenced by the expediency factor. TAM as a classic model in explaining technology adoption in aspects of daily life is still needed to gain more understanding, especially on the characteristics of various or different samples.

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