scholarly journals How risk perception influences CEOs' technological decisions: extending the technology acceptance model to small and medium-sized enterprises' technology decision makers

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Luca Ferri ◽  
Rosanna Spanò ◽  
Marco Maffei ◽  
Clelia Fiondella
Keyword(s):  
Cloud Computing ◽  
Risk Perception ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Equation Modeling ◽  
Cloud Technology ◽  
Content Type ◽  
Factors Influencing ◽  
Acceptance Model

PurposeThis paper aims to investigate the factors influencing chief executive officers’ (CEOs') intentions to implement cloud technology in Italian small and medium-sized enterprises (SMEs).Design/methodology/approachThe study proposes a model that integrates the theoretical construct of the technology acceptance model (TAM) with a classification of perceived benefits and risks related to cloud computing. The study employs a structural equation modeling approach to analyze data gathered through a Likert scale-based survey.FindingsThe findings indicate that risk perception has a strong negative effect on the intention to introduce cloud technology in firms. This effect is partially offset by the perceived ease of use of the technology.Originality/valueThe study provides a new theoretical framework that integrates the TAM and a classification of perceived risks to provide a clear view of management's cognitive processes during technological change. Moreover, the results show the main factors influencing decisions regarding the implementation of cloud computing in firms in light of the perception of risks. Finally, this study provides interesting findings for cloud service providers (CSPs) about their customers' decision-making processes.

Mobile commerce adoption among the bottom of the pyramid: a case of street vendors in Thailand

2019 ◽  
Vol 10 (1) ◽  
pp. 193-213 ◽  
Author(s):  
Tanikan Pipitwanichakarn ◽  
Nittaya Wongtada
Keyword(s):  
Technology Adoption ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Mobile Commerce ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Street Vendors ◽  
Content Type ◽  
Acceptance Model

Purpose This study aims to investigate the applicability of technology acceptance model in explaining technology adoption among street vendors in Thailand as a representation of emerging economies. Design/methodology/approach A pen-and-pencil survey was administered to 370 street vendors in Bangkok; 356 usable surveys were analyzed for a completed rate of 96.2 per cent. Structural equation modeling was used to analyze the data. Findings This study contributes to the existing technology acceptance literature as follows: First, the predictive power of the technology acceptance model is strong and holds true for street vendors. Second, it revealed that the relationship of entrepreneurial orientation and technology adoption is completely connected through the decision-making process (i.e. trust and system characteristics, otherwise known as usefulness and ease of use). Finally, the degree of product differentiation strengthens the positive relationship between perceived usefulness and the intention to use mobile commerce. Originality/value This study advances the previous research on e-commerce adoption in settings outside the formal sector. More specifically, this study developed and validated the extended technology acceptance model in the smallest-scale of entrepreneurs, street vendors, to increase the understanding of the adoption of m-commerce.

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 The technology acceptance model revisited: empirical evidence from the tourism industry in Pakistan

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Muhammad Junaid Shahid Hasni ◽  
Maya F. Farah ◽  
Ifraaz Adeel
Keyword(s):  
Social Media ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Tourism Industry ◽  
Equation Modeling ◽  
Convenience Sample ◽  
Content Type ◽  
Social Media Platform ◽  
Media Platform ◽  
Acceptance Model

PurposeThis paper aims to analyze the adoption of social media platforms by tourists in Pakistan. Based on an adaptation of the technology acceptance model (TAM), this study assesses the factors that lead users to adopt these platforms.Design/methodology/approachA survey was administered to a convenience sample of 399 travelers who use social media in Pakistan. A Confirmatory factor analysis was conducted using AMOS to evaluate convergent and discriminant validity as well as composite reliability. Structural equation modeling was applied to examine the causal relationship among all proposed constructs.FindingsThe findings reveal that the perceived usefulness (PU) and perceived ease of use (PEoU) of a social media platform positively impact the behavioral intention of its users. The proposed constructs of compatibility, enjoyment, user expertise and e-trust all demonstrated their crucial roles in the adoption of a social media platform for tourism-related activities by enhancing the platform's PEoU and usefulness.Originality/valueThis research validates the relationship between PEoU and PU of a social media platform in the hospitality industry. Interestingly, this study has expanded TAM by validating the addition of four more constructs, (1) compatibility, (2) enjoyment, (3) e-trust, and (4) expertise, to add worth to this model regarding the understanding of social media usage in this specific industry. The findings are valuable both for managers and policymakers in the tourism sector in Pakistan, as the latter can utilize the results to entice a larger segment of social media users to the tourism industry.

An extended technology acceptance model in behavioral intention toward hotel tablet apps with moderating effects of gender and age

2016 ◽  
Vol 28 (8) ◽  
pp. 1535-1553 ◽  
Author(s):  
Jungsun (Sunny) Kim
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Behavioral Intention ◽  
Ease Of Use ◽  
Equation Modeling ◽  
Age And Gender ◽  
Content Type ◽  
And Gender ◽  
Tablet Apps ◽  
Acceptance Model

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.

A comprehensive examination of consumers' intentions to use food delivery apps

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Han Wen ◽  
Sanjukta Pookulangara ◽  
Bharath M. Josiam
Keyword(s):  
Theory Of Planned Behavior ◽  
Technology Acceptance ◽  
Planned Behavior ◽  
Technology Acceptance Model ◽  
Food Delivery ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Content Type ◽  
Acceptance Model

PurposeGuided by the theory of planned behavior and the technology acceptance model, the purpose of this study was to comprehensively examine the factors that affect consumers' intentions to continue to use food delivery apps by developing and testing a research model and examining the differences between consumers with different demographic characteristics or behavior changes during the coronavirus disease 2019 (COVID-19) pandemic.Design/methodology/approachAn online survey instrument was developed, and 316 valid responses were collected. A measurement model was developed and tested by using the structural equation modeling partial least squares (SEM-PLS) method.FindingsThe four basic constructs in the theory of planned behavior model (attitude, subjective norms, perceived behavioral control and trust) positively predicted consumers' intentions to continue to use food delivery apps. Predictors (including perceived innovativeness, hedonic and utilitarian motivations, perceived usefulness, perceived ease of use, and food safety risk perception) of these four basic constructs were also identified and confirmed. Multigroup analyses were conducted, and differences were found between male and female consumers and those with different ordering frequencies during the COVID-19 pandemic.Originality/valueThis study expanded the application of the theory of planned behavior by examining consumers' intentions to continue using food delivery apps and improved the authors’ understanding of this theory. Further, the successful application of the technology acceptance model improved the authors’ understanding of consumers' attitudes and behavioral intentions related to food delivery app usage.

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.

Blockchain in logistics industry: in fizz customer trust or not

2020 ◽  
Vol 33 (3) ◽  
pp. 541-558
Author(s):  
Geetika Jain ◽  
Harjit Singh ◽  
K. R. Chaturvedi ◽  
Sapna Rakesh
Keyword(s):  
Supply Chain ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Equation Modeling ◽  
Logistics Industry ◽  
Content Type ◽  
Blockchain Technology ◽  
Convenience Sampling ◽  
Acceptance Model ◽  
Customer Trust

PurposeThe study is an attempt to explore much talked but less understood issue of “blockchain in logistics industry” in modern perspective. The customers' acceptance of blockchain technology in logistics and supply chain is tested through “Technology Acceptance Model” by using attitude, perceived usefulness (PU), perceived ease of use (PEOU), behavioral intention and use behavior.Design/methodology/approachData has been collected through online and offline medium, where active 240 responses have been collected finally using convenience sampling. Confirmatory factor analysis with structural equation modeling (SEM) was carried out for data analysis.FindingsThe customers' acceptance of blockchain technology in logistics and supply chain is tested through “Technology Acceptance Model.” The findings reveal model fit where PEOU, PU and attitude are the major constructs of the model to realize the substantial gains in logistics process efficiency.Research limitations/implicationsConvenience sampling has been considered for the study to collect the data of online users of various technology applications for tracking and shipment detail, whereas a more specified method sampling can be considered for the future research. The study has been conducted in the Indian context, which has been considered as the limitation pertaining to generalization across countries and industries.Practical implicationsThe findings of this study will be helpful for market practitioners to build transparency between customers and industry to overcome the frictions in logistics. Blockchain will help in monitoring the performance history and previous commitments of logistics professionals resulting in selecting a responsible logistics solution provider. Access to critical data by the authorized member of the supply chain will reduce unsubstantiated disputes.Social implicationsBlockchain technology will be available to everyone on the network. This will bring transparency and help logistics professionals such as carriers, shippers and brokers to detect early frauds and prevent thefts. It will increase customer trust toward any financial transaction for tracking the ownership of titles.Originality/valueBlockchain technology is envisioned to be a technology that could be a game-changer for decentralizing infrastructure, introducing transparency and building trust in the supply chain. The current study is a novel addition to the literature where blockchain technology enables the indisputable storage of verified data that was previously kept in safeguarded silos.

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.

Analyzing Factors Influencing Behavior Intention to Use Snapchat and Instagram Stories

2017 ◽  
Vol 4 (2) ◽  
pp. 75-81 ◽  
Author(s):  
Vincent Valiant Coa ◽  
Johan Setiawan
Keyword(s):  
Structural Equation Modeling ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Social Presence ◽  
Structural Equation ◽  
Equation Modeling ◽  
Intention To Use ◽  
Generation Z ◽  
Acceptance Model ◽  
Behavioral Intention To Use

Snapchat, and Instagram are two social networks which recently gain their users after adopting such a feature called "Story" which allows a certain post to be disappeared after a certain time. This research takes up this technology trends analyzing the factors that probably affect the behavioral intention to use Snapchat and Instagram stories among generation Z. Factors are analyzed using Structural Equation Modeling, with basis model and variables from Technology Acceptance Model. Data collection was targeted to finished within 1 week using online questionnaire with respondent from Jakarta and Tangerang for 100 respondent that are using both Snapchat stories and Instagram Stories. There are two tools researcher usually use to analyze Structural Equation Modeling: SPSS AMOS and LISREL. In this research, researchers choose AMOS. From six hypothesis proposed for Snapchat analysis, four hypothesis is accepted, while the other two are rejected. Meanwhile, on Instagram Stories analysis, five hypothesis is accepted and one hypothesis is rejected. This study finds out the Social Presence is an exogenous variable which has a major role in affecting other variables. While Perceived Enjoyment influenced the behavioral intention to use Snapchat and Instagram Stories the most. Index Terms—Structural Equation Modeling, Technology Acceptance Model, influence, generation Z, Snapchat, Instagram REFERENCES [1] L. Chin and Z. Ahmad, "Perceived Enjoyment and Malaysian Consumers’ Intention to Use a Single Platform EPayment", SHS Web of Conferences, vol. 18, 2015. [2] M. Ariff, T. Shan, N. Zakuan, N. Ishak and M. Wahi, "Examining Users' E-Satisfaction in the Usage of Social Networking Sites; Contribution from Utilitarian and Hedonic Information Systems", IOP Conference Series: Materials Science and Engineering, vol. 58, 2014. [3] K. Hassanein and M. Head, "Manipulating perceived social presence through the web interface and its impact on attitude towards online shopping", International Journal of HumanComputer Studies, vol. 65, no. 8, pp. 689-708, 2007. [4] P. Surendran, "Technology Acceptance Model: A Survey of Literature", 2012. [5] F. Davis, "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology", MIS Quarterly, vol. 13, no. 3, p. 319, 1989

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