Understanding college students' e-loyalty to online practicum courses in hospitality programmes during COVID-19

This study aims to examine the students’ loyalty to an online practicum course for hospitality education during Covid-19 pandemic in Indonesia. Premised on the Technology Acceptance Model (TAM), we adopted a revised model consisting of Information System Success Model and Expectancy Confirmation Theory (ECT) to ascertain the students’ perceptions of the usefulness of the programme and their levels of satisfaction with, and e-loyalty to, the programme. This study utilized an online survey to obtain data from 309 participants. The partial least squares structural equation modelling method was employed in this study. The findings show that students’ perceptions of the usefulness of online learning were significantly influenced by information quality, system quality & system interaction which relate to satisfaction. Preliminary research provides the insight for stakeholders such as vocational institutions, teachers and practitioners of education to gain a better understanding the factors that contribute to hospitality students continued intentional use of online course. Keywords: e-learning, practicum courses, hospitality students, pandemic Covid-19, student satisfaction, e-loyalty

Assessment of A Mobile Educational Coaching App

International Journal of Technology and Human Interaction ◽

10.4018/ijthi.2018010102 ◽

2018 ◽

Vol 14 (1) ◽

pp. 22-43

Author(s):

Niousha Shahidi ◽

Vesselina Tossan ◽

Silvia Cacho-Elizondo

Keyword(s):

Technology Acceptance ◽

Structural Equation ◽

Online Survey ◽

Causal Structure ◽

Convenience Sample ◽

Equation Modelling ◽

Educational Coaching ◽

Acceptance Model ◽

Type Of School

This article explores which antecedents explain intentions to adopt a mobile coaching app. To that end, this study describes a coaching service designed to guide/encourage students throughout their studies in order to validate a new model of planned behavior based on the Technology Acceptance Model and the Goal-Directed Behavioral theory. The methodology included a short qualitative study and an online survey to examine the theoretical model which is based on scales tested in previous studies. The convenience sample is composed of students (Bachelor and Master/MBA) with the results analyzed using structural equation modelling to test the proposed model's causal structure. The results show different adoption patterns by gender and type of school.

Exploring gamers' crowdsourcing engagement in Pokémon Go communities

The TQM Journal ◽

10.1108/tqm-05-2021-0131 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Shavneet Sharma ◽

Neale Slack ◽

Kritika Devi ◽

Tuma Greig ◽

Samantha Naidu

Keyword(s):

Structural Equation ◽

Online Survey ◽

Information Quality ◽

New Wave ◽

System Quality ◽

Content Type ◽

Content Creation ◽

Related Information ◽

Content Consumption ◽

Pokémon Go

PurposeWith the increasing popularity of online games like Pokémon Go, a new wave of crowdsourcing communities have emerged, allowing gamers to collaborate, communicate and share useful game-related information. This paper aims to examine the factors that influence gamers' crowdsourcing behaviour.Design/methodology/approachA conceptual framework is developed that combines the DeLone & McLean model, self-determination theory, and different levels of engagement behaviour. The online survey collected 371 responses that were analysed using Covariance Based Structural Equation Modelling (CB-SEM).FindingsThe results show that extrinsic and intrinsic motivation positively influenced gamers' crowdsourcing engagement intention. System quality and information quality were also confirmed to be positively associated with gamers' crowdsourcing engagement intention. Furthermore, crowdsourcing engagement intention was found to be positively associated with crowdsourcing content consumption, contribution, and creation.Practical implicationsThe findings of this study are useful for the owners of Pokémon Go and other gaming-related crowdsourcing platforms in devising tailored strategies to increase the crowdsourcing engagement of gamers.Originality/valueThis study provides the first empirical evidence of factors motivating online gamers' crowdsourcing intention. This study also presents novel insight into online gamers' crowdsourcing intention by combining diverse theories which offer different perspectives and a more comprehensive understanding of the phenomenon. Contribution to the research on the intention-behaviour gap by modelling three behavioural outcomes (content creation, contribution, and consumption behaviour) of crowdsourcing engagement intention, is another important contribution of this study.

Consumer acceptance of smart speakers: a mixed methods approach

Journal of Research in Interactive Marketing ◽

10.1108/jrim-01-2018-0022 ◽

2018 ◽

Vol 12 (4) ◽

pp. 418-431 ◽

Cited By ~ 15

Author(s):

Pascal Kowalczuk

Keyword(s):

Technology Acceptance ◽

Structural Equation ◽

Online Survey ◽

Ease Of Use ◽

Perceived Usefulness ◽

Equation Modeling ◽

Smart Devices ◽

Intention To Use ◽

Content Type ◽

PurposeVoice-activated smart speakers such as Amazon Echo and Google Home were recently developed and are gaining popularity. Understanding and theorizing the underlying mechanisms that encourage or impede consumers to use smart speakers is fundamental for enhancing acceptance and future development of these new devices. Therefore, building on technology acceptance research, this study aims to develop and test an acceptance model for investigating consumers’ intention to use smart speakers.Design/methodology/approachFirst, antecedents that may significantly affect the usage intention of smart speakers were identified through an explorative approach by a netnographic analysis of customer reviews (N= 2,186) and Twitter data (N= 899). Afterward, these results and contemporary literature were used to develop and validate an acceptance model for smart speakers. Structural equation modeling (SEM) was used to test the proposed hypotheses on data collected from 293 participants of an online survey.FindingsBesides perceived ease of use and perceived usefulness, the quality and diversity of a system, its enjoyment, consumer’s technology optimism and risk (surveillance anxiety and security/privacy risk) strongly affect the acceptance of smart speakers. Among these variables, enjoyment had the strongest effect on behavioral intention to use smart speakers.Originality/valueThis is the first study that incorporates netnography and SEM for investigating technology acceptance and applies it to the field of interactive smart devices.

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

Revista Romaneasca pentru Educatie Multidimensionala ◽

10.18662/rrem/13.4/483 ◽

2021 ◽

Vol 13 (4) ◽

pp. 283-309

Author(s):

Samar Zaineldeen ◽

Li Hongbo

Keyword(s):

Technology Acceptance ◽

Student Satisfaction ◽

Structural Equation ◽

Considerable Effect ◽

Statistical Investigation ◽

Factors Affecting ◽

Overseas Students ◽

Student Information ◽

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.

Understanding Intention and Behavior Toward Online Purchase of Agriculture and Fisheries Products Using Extended Technology Acceptance Model

International Journal of Enterprise Information Systems ◽

10.4018/ijeis.2021100107 ◽

2021 ◽

Vol 17 (4) ◽

pp. 118-137

Author(s):

Junrie B. Matias

Keyword(s):

Technology Acceptance ◽

Structural Equation ◽

Online Survey ◽

Ease Of Use ◽

Perceived Usefulness ◽

Equation Modeling ◽

Usage Behavior ◽

Acceptance Model ◽

And Behavior

This study investigates the factors affecting the usage behavior and intention towards online purchasing platforms in purchasing agriculture and fisheries products online based on the technology acceptance model. External factors adapted from current literature were integrated with the model to understand the consumer intention and behavior towards online purchasing. An online survey with 318 respondents was used to test the hypotheses of the theoretical model using partial least squares component-based structural equation modeling. Results show that trust is a significant predictor of usage behavior. Furthermore, the factors visibility, perceived risk, perceived value, and enjoyment have directly or indirectly influenced intention and usage behavior through trust, perceived ease of use, and perceived usefulness. The researcher considers this work to have contributed essential inputs to other researchers interested in studying the adoption of online purchasing in fisheries and agriculture products.

An acceptance model for smart watches

Internet Research ◽

10.1108/intr-05-2014-0126 ◽

2015 ◽

Vol 25 (4) ◽

pp. 527-541 ◽

Cited By ~ 166

Author(s):

Ki Joon Kim ◽

Dong-Hee Shin

Keyword(s):

Technology Acceptance ◽

Structural Equation ◽

Online Survey ◽

Perceived Usefulness ◽

Relative Advantage ◽

Equation Modeling ◽

Content Type ◽

Psychological Determinants ◽

Smart Watch ◽

Purpose – The purpose of this paper is to identify the key psychological determinants of smart watch adoption (i.e. affective quality (AQ), relative advantage (RA), mobility (MB), availability (AV), subcultural appeal) and develops an extended technology acceptance model (TAM) that integrates the findings into the original TAM constructs. Design/methodology/approach – An online survey assessed the proposed psychological determinants of smart watch adoption. Confirmatory factor analysis (CFA) and structural equation modeling (SEM) were conducted on collected data (n=363) using the AMOS 22 statistical software. The reliability and validity of the measurement assessing the proposed factor structure were examined via CFA, while the strength and direction of the hypothesized causal paths among the constructs were analyzed via SEM. Findings – The AQ and RA of smart watches were found to be associated with perceived usefulness, while the sense of MB and AV induced by smart watches led to a greater perceived ease of the technology’s use. The results also indicated that the devices’ subcultural appeal and cost were notable antecedents of user attitude (AT) and intention to use, respectively. Originality/value – Though smart watches are becoming increasingly popular, empirical studies on user perceptions of and ATs toward – them remain preliminary. This paper is one of the first scholarly attempts at a systematic prediction of smart watch usage, with implications for the adoption of future wearable technology.

The adoption of drones in German agriculture: a structural equation model

Precision Agriculture ◽

10.1007/s11119-021-09809-8 ◽

2021 ◽

Author(s):

Marius Michels ◽

Cord-Friedrich von Hobe ◽

Paul Johann Weller von Ahlefeld ◽

Oliver Musshoff

Keyword(s):

Technology Acceptance ◽

Precision Agriculture ◽

Structural Equation ◽

Online Survey ◽

Equation Model ◽

Latent Factors ◽

Intention To Adopt ◽

Binary Model ◽

Acceptance Model ◽

Technology Tool

AbstractDrones are one of the latest tools to have been added to farmers’ precision agriculture technology tool kit. Despite the proclaimed benefits, adoption rates of drones are low and literature regarding the adoption of drones in agriculture is scarce. Therefore, this study investigates whether an extended Technology Acceptance Model (TAM) can contribute to the understanding of latent factors influencing farmers’ intention to adopt a drone. The sample of 167 German farmers was collected in 2019 via an online survey. Using partial least squares structural equation modelling and a binary model, the TAM explains 69% of the variance in the intention to use a drone by German farmers. According to the results, raising farmers’ awareness of farm-specific areas of drone application and the confidence level of using a drone can increase farmers’ intention to adopt a drone. The results are of interest for agribusinesses developing drones as well as selling or providing drones. Furthermore, the results are of interest for researchers in precision agriculture technologies.

E-Health System Characteristics, Medical Performance, and Healthcare Quality at Jordan’s Health Centers

Journal of Healthcare Engineering ◽

10.1155/2021/5887911 ◽

2021 ◽

Vol 2021 ◽

pp. 1-7

Author(s):

Malik Bader Alazzam ◽

Husam Al Khatib ◽

Walid Theib Mohammad ◽

Fawaz Alassery

Keyword(s):

Beneficial Effect ◽

Patient Care ◽

Technology Acceptance ◽

Structural Equation ◽

Information Quality ◽

Health Information System ◽

Medical Personnel ◽

Perceived Usefulness ◽

Equation Modeling ◽

System Quality

This research explores how e-health systems’ features (information quality, quality of the system, usability perceived, and perceived usefulness) contribute to improving medical personnel performance in medical centers, patient care, and physician-patient interactions in Jordan. The objective is to evaluate a single integrated model consisting of the technology acceptance model. This study used the logical research method and approach. A collection of data from 212 medical personnel working in 19 healthcare facilities throughout Jordan were gathered. To analyze the data collected and test the hypotheses of the research, a partially square/structural equation modeling method has been employed. The study found that the health information system (HIS) information quality has a direct and indirect beneficial effect on the performance of the staff, beneficial effects on patient care alone, and only favorable, indirect effects on the doctor-patient relationship. On the contrary, system quality was shown to influence directly and indirectly and to have a direct and indirect beneficial effect both on the connection between doctors and patients. Remember that the HIS has accessibility, speed, and mistake detection and avoids error issues. These shortcomings are suggested to be rectified in conjunction with improved user perception towards easy usage and utilization of the system.

Viewing Sports Online during the COVID-19 Pandemic: The Antecedent Effects of Social Presence on the Technology Acceptance Model

Sustainability ◽

10.3390/su14010341 ◽

2021 ◽

Vol 14 (1) ◽

pp. 341

Author(s):

Chia-Jung Chang ◽

Bryan Cheng-Yu Hsu ◽

Mei-Yen Chen

Keyword(s):

Technology Acceptance ◽

Social Presence ◽

Structural Equation ◽

Online Survey ◽

Ease Of Use ◽

Perceived Usefulness ◽

Amazon Mechanical Turk ◽

Equation Modeling ◽

The outbreak of COVID-19 in 2020 has posed several challenges to the sporting industry, caused by the change in behavior of sporting fans from purchasing event tickets to watching live broadcasts of events on the Internet. This study aims to gain a deeper understanding of fan behavior in this “new normal”. It adopts a technology acceptance model (TAM) to explore the effects of social presence (SP) in the context of online viewing of professional sports. For this purpose, the authors conducted an online survey of viewers who watched NBA sports events on the Amazon Mechanical Turk website using the Together Mode feature of Microsoft Teams. We collected 209 valid questionnaires and performed a partial least squares structural equation modeling analysis. The results showed that the SP-TAM structural model has adequate predictive relevance, and SP has a statistically significant positive relationship with both perceived ease of use and perceived usefulness. The model was thus validated, contributing to the existing body of knowledge on emerging technologies such as the creation of a virtual audience in sports. The study’s findings suggest that technology developers should focus on the effects of SP and emphasize practical functions to increase the use intention of sporting fans. Furthermore, professional sporting leagues should prioritize the use of virtual fan technology to optimize the viewing experience of their fans.

Acceptance of mobile loyalty cards in the German B2C consumer goods market

International Journal of Management and Economics ◽

10.2478/ijme-2021-0004 ◽

2021 ◽

Vol 0 (0) ◽

Author(s):

Sandra Schneider

Keyword(s):

Technology Acceptance ◽

Consumer Goods ◽

Structural Equation ◽

Online Survey ◽

Personal Data ◽

Equation Modeling ◽

Usage Behavior ◽

Goods Market ◽

Acceptance Model ◽

Priority Needs

Abstract The consumer goods market is characterized by strong competition. Thus, to bind customers to the company, a higher priority needs to be attributed to customer retention measures. Such measures include the loyalty card, but the use of the physical card is declining. To counteract this decline, mobile loyalty cards were developed. The basis for the use of mobile loyalty cards is sufficient consumer acceptance. This work is expected to contribute to the explanation of acceptance in the form of usage behavior. Based on the Technology-Acceptance-Model-2 (TAM2) and the literature, hypotheses were derived and a research model was developed. For model testing, a dataset of 255 participants was generated through an online survey and analyzed using partial least squares structural equation modeling (PLS-SEM). The results show that in addition to financial benefits, convenience benefits and psychological factors also have an influence on acceptance. Furthermore, the usage behavior is not negatively influenced by the expected loss of control over personal data. Based on the findings, indications for marketing implementation are given for the confirmed factors.