Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology
June Lu, James Yao, Chun‐Sheng Yu
The Journal of Strategic Information Systems (2005) Vol. 14, Iss. 3, pp. 245-268
Closed Access | Times Cited: 1367

Showing 1-25 of 1367 citing articles:

Usage, barriers and measurement of social media marketing: An exploratory investigation of small and medium B2B brands
Nina Michaelidou, Nikoletta‐Theofania Siamagka, George Christodoulides
Industrial Marketing Management (2011) Vol. 40, Iss. 7, pp. 1153-1159
Open Access | Times Cited: 978
Understanding factors influencing the adoption of mHealth by the elderly: An extension of the UTAUT model
Md. Rakibul Hoque, Golam Sorwar
International Journal of Medical Informatics (2017) Vol. 101, pp. 75-84
Closed Access | Times Cited: 858
Extending the understanding of mobile banking adoption: When UTAUT meets TTF and ITM
Tiago Oliveira, Miguel Faria, Manoj A. Thomas, et al.
International Journal of Information Management (2014) Vol. 34, Iss. 5, pp. 689-703
Closed Access | Times Cited: 724
Investigating acceptance of telemedicine services through an extended technology acceptance model (TAM)
Syeda Ayesha Kamal, Muhammad Shafiq, Priyanka Kakria
Technology in Society (2019) Vol. 60, pp. 101212-101212
Closed Access | Times Cited: 698
Mobile payment services adoption across time: An empirical study of the effects of behavioral beliefs, social influences, and personal traits
Shuiqing Yang, Yaobin Lu, Sumeet Gupta, et al.
Computers in Human Behavior (2011) Vol. 28, Iss. 1, pp. 129-142
Closed Access | Times Cited: 645
An assessment of advanced mobile services acceptance: Contributions from TAM and diffusion theory models
Carolina López‐Nicolás, Francisco‐Jose Molina‐Castillo, Harry Bouwman
Information & Management (2008) Vol. 45, Iss. 6, pp. 359-364
Closed Access | Times Cited: 642
Influence of the user’s psychological factors on the online purchase intention in rural tourism: Integrating innovativeness to the UTAUT framework
Héctor San Martín, Angel Crespo
Tourism Management (2011) Vol. 33, Iss. 2, pp. 341-350
Closed Access | Times Cited: 593
Predicting consumer decisions to adopt mobile commerce: Cross country empirical examination between China and Malaysia
Alain Yee‐Loong Chong, Felix T.S. Chan, Keng‐Boon Ooi
Decision Support Systems (2011) Vol. 53, Iss. 1, pp. 34-43
Closed Access | Times Cited: 550
A meta-analysis of mobile commerce adoption and the moderating effect of culture
Liyi Zhang, Jing Zhu, Qihua Liu
Computers in Human Behavior (2012) Vol. 28, Iss. 5, pp. 1902-1911
Closed Access | Times Cited: 513
Online purchasing tickets for low cost carriers: An application of the unified theory of acceptance and use of technology (UTAUT) model
Tomás Escobar Rodríguez, Elena Carvajal-Trujillo
Tourism Management (2014) Vol. 43, pp. 70-88
Closed Access | Times Cited: 509
Social media marketing: Comparative effect of advertisement sources
Mahmud Akhter Shareef, Bhasker Mukerji, Yogesh K. Dwivedi, et al.
Journal of Retailing and Consumer Services (2017) Vol. 46, pp. 58-69
Open Access | Times Cited: 498
Analysis of users and non-users of smartphone applications
Hannu Verkasalo, Carolina López‐Nicolás, Francisco‐Jose Molina‐Castillo, et al.
Telematics and Informatics (2009) Vol. 27, Iss. 3, pp. 242-255
Closed Access | Times Cited: 470
A SEM-neural network approach for predicting antecedents of m-commerce acceptance
Francisco Liébana‐Cabanillas, Veljko Marinković, Zoran Kalinić
International Journal of Information Management (2016) Vol. 37, Iss. 2, pp. 14-24
Closed Access | Times Cited: 470
Factors driving the adoption of m-learning: An empirical study
Liu Yong, Hongxiu Li, Christer Carlsson
Computers & Education (2010) Vol. 55, Iss. 3, pp. 1211-1219
Closed Access | Times Cited: 458
Antecedents of the adoption of the new mobile payment systems: The moderating effect of age
Francisco Liébana‐Cabanillas, Juan Sánchez‐Fernández, Francisco Muñoz‐Leiva
Computers in Human Behavior (2014) Vol. 35, pp. 464-478
Closed Access | Times Cited: 458
The acceptance and use of computer based assessment
Vasileios Terzis, Anastasios A. Economides
Computers & Education (2010) Vol. 56, Iss. 4, pp. 1032-1044
Closed Access | Times Cited: 428
Determinants of intention to use the mobile banking apps: An extension of the classic TAM model
Francisco Muñoz‐Leiva, S. Climent-Climent, Francisco Liébana‐Cabanillas
Spanish Journal of Marketing - ESIC (2017) Vol. 21, Iss. 1, pp. 25-38
Open Access | Times Cited: 426
Understanding the effect of e-learning on individual performance: The role of digital literacy
Soheila Mohammadyari, Harminder Singh
Computers & Education (2014) Vol. 82, pp. 11-25
Closed Access | Times Cited: 424
Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach
Francisco Liébana‐Cabanillas, Veljko Marinković, Iviane Ramos de Luna, et al.
Technological Forecasting and Social Change (2017) Vol. 129, pp. 117-130
Closed Access | Times Cited: 413
Predicting m-commerce adoption determinants: A neural network approach
Alain Yee‐Loong Chong
Expert Systems with Applications (2012) Vol. 40, Iss. 2, pp. 523-530
Closed Access | Times Cited: 401
Mobile shopping apps adoption and perceived risks: A cross-country perspective utilizing the Unified Theory of Acceptance and Use of Technology
Prasanta Kr Chopdar, Nikolaos Korfiatis, V.J. Sivakumar, et al.
Computers in Human Behavior (2018) Vol. 86, pp. 109-128
Open Access | Times Cited: 397
Predicting the drivers of behavioral intention to use mobile learning: A hybrid SEM-Neural Networks approach
Garry Wei–Han Tan, Keng‐Boon Ooi, Lai-Ying Leong, et al.
Computers in Human Behavior (2014) Vol. 36, pp. 198-213
Closed Access | Times Cited: 383
Explain the intention to use smartphones for mobile shopping
Sinda Agrebi, Joël Jallais
Journal of Retailing and Consumer Services (2014) Vol. 22, pp. 16-23
Closed Access | Times Cited: 378
Examining adoption of mobile internet in Saudi Arabia: Extending TAM with perceived enjoyment, innovativeness and trust
Ali Abdallah Alalwan, Abdullah M. Baabdullah, Nripendra P. Rana, et al.
Technology in Society (2018) Vol. 55, pp. 100-110
Open Access | Times Cited: 375
Consumer adoption of the Uber mobile application: Insights from diffusion of innovation theory and technology acceptance model
Somang Min, Kevin Kam Fung So, Miyoung Jeong
Journal of Travel & Tourism Marketing (2018) Vol. 36, Iss. 7, pp. 770-783
Closed Access | Times Cited: 368
Page 1 - Next Page

Scroll to top