Exploring customers’ attitudes to the adoption of robots in tourism and hospitality

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohamed Abou-Shouk ◽  
Hesham Ezzat Gad ◽  
Ayman Abdelhakim
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Service Robots ◽  
Content Type ◽  
Factors Affecting ◽  
Positive Attitudes ◽  
Travel Agencies ◽  
Tourism And Hospitality ◽  
Acceptance Model

Purpose This study aims to explore the factors affecting customers’ attitudes to the adoption of robots in hotels and travel agencies. Design/methodology/approach Structural equation modelling was used to test the extended technology acceptance model based on data collected from 570 customers of hotels and travel agencies. Findings The findings revealed that hotel customers have more positive attitudes to service robots than their peers in travel agencies. Originality/value This research contributes to the literature on robots in tourism and responds to the call to investigate customers’ attitudes to the adoption of robots in developing countries.

Antecedents to consumers’ showrooming behaviour: an integrated TAM-TPB framework

2018 ◽  
Vol 35 (4) ◽  
pp. 438-450 ◽  
Author(s):  
Sourabh Arora ◽  
Sangeeta Sahney
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Content Type ◽  
Selective Sampling ◽  
Product Choices ◽  
Initial Move ◽  
Acceptance Model ◽  
The Relationship ◽  
Practical Implications

Purpose The purpose of this study is to propose an integrated framework utilizing the theory of planned behaviour (TPB) and technology acceptance model (TAM) to augment the understanding on consumers’ showrooming behaviour. Design/methodology/approach Selective sampling was used for data collection. The integrated TAM-TPB framework led to 12 propositions, which were tested using partial least squares-structural equation modelling. Findings Both perceived relative search benefits offline and relative purchase benefits online significantly determined the consumers’ showrooming behaviour along with perceived ease purchasing online and the overall usefulness of the showrooming sequence. Results of the study revealed that the showrooming sequence helped consumers avoid the regret of making suboptimal product choices and paying a higher price for the same product. Online trust was found to partially mediate the relationship between consumers’ intention to showrooming and the actual showrooming behaviour. Research limitations/implications Notwithstanding the fact that further research is required to arrive at definitive conclusions, this study is an initial move towards understanding the consumers’ showrooming behaviour, and the research provides meaningful insights. Practical implications As showrooming substantially erodes profits, devising strategies to defend showrooming customers becomes crucial. The findings of the study provide the basis for formulating strategies to counter showrooming customers. Originality/value The paper is amongst the first studies which helps enhance the understanding of consumers’ showrooming behaviour, which is an emerging area in the present multi-channel retailing environment.

scholarly journals Evaluate Student Satisfaction of Student Information System Utilising Technology Acceptance Model and Trust in China

2021 ◽  
Vol 13 (4) ◽  
pp. 283-309
Author(s):  
Samar Zaineldeen ◽  
Li Hongbo
Keyword(s):  
Technology Acceptance ◽  
Student Satisfaction ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Considerable Effect ◽  
Statistical Investigation ◽  
Factors Affecting ◽  
Overseas Students ◽  
Student Information ◽  
Acceptance Model

In this study, the factors affecting student satisfaction with student information systems have been investigated by applied Technology Acceptance Model and rust. Partial least squares structural equation modelling implemented to study these factors. 400 authentic responses from overseas students in a large number of universities located in Jiangsu province China have been evaluated. The statistical investigation findings demonstrate that student trust has a considerable effect on student satisfaction; meanwhile, the behavioural intention of use has no significant impact on student satisfaction.

The adoption of e-learning beyond MOOCs for higher education

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Maggie Liu ◽  
Chunhui Liu
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Online Courses ◽  
Massive Open Online Courses ◽  
Content Type ◽  
Factors Influencing ◽  
E Learning ◽  
Acceptance Model ◽  
First Time

Purpose This paper aims to explore factors influencing university students’ intent to take formal lectures completely through e-learning with cloud meetings. Design/methodology/approach This study has surveyed Chinese students who have experienced e-learning with cloud meetings as well as traditional massive open online courses (MOOC) without live dialogues. The data are analysed based on structural equation modelling to assess factors influencing students’ intent to choose e-learning with cloud meetings. Findings The findings show that as per the technology acceptance model, e-learning students who find learning to be easier with cloud meetings than MOOCs believe cloud meeting courses to be more beneficial and thus are more willing to take e-learning with cloud meetings. Originality/value This study compares e-learning with cloud meetings with MOOCs without live dialogues for the first time to highlight the value of open dialogues in real time for effective e-learning.

scholarly journals Revealing the effect of acculturation process on e-commerce acceptance

2018 ◽  
Vol 118 (6) ◽  
pp. 1251-1265 ◽  
Author(s):  
Ewelina Lacka ◽  
Nick K.T. Yip
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Theory Of Planned Behaviour ◽  
Content Type ◽  
Host Culture ◽  
Acculturation Process ◽  
Equation Modelling ◽  
Acceptance Model ◽  
Changing Attitudes

PurposeThe popularity of e-commerce has increased significantly over recent years. However, this growth is not shared by all European Union states. One reason for this discrepancy is culture which impacts on e-commerce acceptance. The purpose of this paper is to reveal the effect of acculturation process on e-commerce acceptance.Design/methodology/approachStructural equation modelling is employed to test three research models: technology acceptance model, theory of planned behaviour model and motivational model.FindingsThe findings show that attitudes towards e-commerce change in relation to the perception of control and the influence of subjective norms, which impact intentions to use e-commerce before movement to a host country’s culture. However, its effect diminishes after the exposure to the influence of a host culture.Originality/valueThis is the first study to demonstrate the existence of the effect of acculturation process on mingling and migrating consumers and their changing attitudes towards e-commerce acceptance.

The adoption of teaching assistant robots: a technology acceptance model approach

2016 ◽  
Vol 50 (4) ◽  
pp. 354-366 ◽  
Author(s):  
Eunil Park ◽  
Sang Jib Kwon
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Rapid Development ◽  
Teaching Assistant ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Content Type ◽  
User Attention ◽  
Acceptance Model

Purpose Based on rapid improvements in telecommunications and wireless networks with extensive educational contents, numerous studies have been conducted to improve our educational success/attainment/environment. With this trend, the purpose of this paper is to investigate users’ perceptions of teaching assistant (TA) robots and the possible motivations that impact the users’ intention to use (IU) the robots. Design/methodology/approach In light of the rapid development of and attempts at understanding interactions with social robots, including TA robots, this study uses structural equation modeling and confirmatory factor analysis. Findings The results indicated that perceived usefulness was the most crucial factor determining the users’ IU for TA robots. In addition, the relationships of the original technology acceptance model were confirmed. The study findings demonstrated the crucial importance of perceived enjoyment and service quality. Originality/value Although the role of TA robots has gained user attention, few investigations have been conducted to explain how IU is formed. The current study can thus act as the foundation for exploring the acceptance process in the context of TA robots.

scholarly journals Predicting intention to follow online restaurant community advice: a trust-integrated technology acceptance model

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aya K. Shaker ◽  
Rasha H.A. Mostafa ◽  
Reham I. Elseidi
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Online Reviews ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
Content Type ◽  
Acceptance Model

PurposeThis research investigates consumer intention to follow online community advice. Applying the technology acceptance model (TAM) to the context of online restaurant communities, the study empirically examines the effects of perceived usefulness, perceived ease of use, attitude and trust on the intention to follow online advice.Design/methodology/approachThe data were collected from 360 members of online restaurant communities on Facebook and analyzed using structural equation modeling (SEM).FindingsThe findings revealed that trust, perceived usefulness and attitude are key predictors of the intention to follow online restaurant community advice.Originality/valueExtant research on the influence of online reviews on consumer behavior in the restaurant industry has largely focused on the characteristics of the review, reviewers or readers. Moreover, other studies have investigated consumers' motivations to write online restaurant reviews. This study, however, takes a different approach and examines what drives consumers to follow the advice from online restaurant communities.

Machine learning of robots in tourism and hospitality: interactive technology acceptance model (iTAM) – cutting edge

2020 ◽  
Vol 75 (4) ◽  
pp. 625-636 ◽  
Author(s):  
Hanyoung Go ◽  
Myunghwa Kang ◽  
SeungBeum Chris Suh
Keyword(s):  
Machine Learning ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Hospitality Industry ◽  
Interactive Technology ◽  
Future Research ◽  
Content Type ◽  
Tourism And Hospitality Industry ◽  
Tourism And Hospitality ◽  
Acceptance Model

Purpose The purpose of this study is to discuss how consumers accept advanced artificial intelligence (AI) robots in hospitality and tourism and provide a typology and conceptual framework to support future research on advanced robot applicability. Design/methodology/approach This research reviews current cases of AI use and technology acceptance model (TAM) studies and proposes a framework, interactive technology acceptance model (iTAM), to identify key determinants that stimulate consumer perceptions of advanced robot technology acceptance. Findings The main constructs and types of advanced robots were identified by reviewing TAM studies and AI robots that are currently used in the tourism and hospitality industry. This research found that as technologies tested in TAM studies have been improved by highly interactive systems, increased capability and a more user-friendly interface, examining perceived interactivity of technology has become more important for advanced robot acceptance models. The examples of advanced robot uses indicate that each machine learning application changes the robots’ task performance and interaction with consumers. Conducting experimental studies and measuring the interactivity of advanced robots are vital for future research. Originality/value To the authors’ knowledge, this is the first study on how consumers accept AI robots with machine learning applications in the tourism and hospitality industry. The iTAM framework provides fundamental constructs for future studies of what influences consumer acceptance of AI robots as innovative technology, and iTAM can be applied to empirical experiments and research to generate long-term strategies and specific tips to implement and manage various advanced robots.

Application Of Technology Acceptance Model Of Unified Payment Interface Services Adoption In Mysuru City: An Exploratory Study

2019 ◽  
Vol 118 (6) ◽  
pp. 25-35
Author(s):  
Vinay S
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Banking Sector ◽  
Primary Data ◽  
Equation Modeling ◽  
Security Issues ◽  
Acceptance Model ◽  
Structured Questionnaire

Continuous development of technological innovations especially in the banking sector have stirred competition which has changed the way businesses operate resulting in the introduction of Unified Interface Payment (UPI) services. This study was conducted in order to analyse the adoption of UPI services through Technology Acceptance Model (TAM) in Mysuru. Objectives of study were framed to determine the demographic factors that influence the practices of UPI by the customers, to examine the role of banks in integrating UPI services and products and to assess the various security issues affecting the usage of UPI services by Mysuru customers. Based on these objectives a structured questionnaire was prepared and primary data was collected from 165 respondents. Data was analysed making use of SPSS and other models namely Structural Equation Modeling with Analysis of Moment Structures (AMOS) Software. Finally the researchers identifies that there is a need for convergence of customer’s preference for safe and easy banking transactions. This study revealed that the customer’s model have to be well integrated for progress in UPI operations.

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