Analysis of the Influence of Digital Information Quality, Technology Performance Expectancy, Technology Effort Expectancy, Price Value and Social Influence on Intention to Use Coffee Shop Mobile Application

Main Article Content

Syailendra Reza Irwansyah Rezeki
Donny Dharmawan
Lalang Saksono
Silvia Ekasari
Abdurohim

Abstract

The Purpose Of This Study Is To Examine How Factors Such As Pricing Value, Habit, Social Influence, Performance Expectancy, Information Quality, And Facilitating Conditions Affect Users' Ongoing Intention To Use Mobile Apps. Researchers Employed A Single Cross-Sectional Design For Data Gathering In This Study, Utilizing A Conclusive Descriptive Research Approach. Mobile Application Users Made Up The Study's Population. Thus, Judgmental Sampling Will Be The Type Of Sampling And Non-Probability Sampling Will Be The Technique Employed. In This Study, 100 Respondents Made Up The Sample. Multiple Linear Regression Analyses Are Used In This Research To Examine Hypotheses. The Continual Intention To Utilize Is Unaffected By The Information Quality Variable. Continuous Intention To Use Is Not Influenced By The Performance Expectation Variable. Continuous Intention To Use Is Not Influenced By The Effort Expectancy Variable. The Ongoing Intention To Use Is Unaffected By The Social Impact Variable. Continuous Intention To Use Is Influenced By The Facilitating Conditions Variable. The Ongoing Intention To Utilize Is Independent Of The Trust Variable. The Ongoing Intention To Use Is Influenced By The Price-Value Variable. The Continuous Intention To Use Is Influenced By The Habit Variable.

Article Details

How to Cite
Irwansyah Rezeki, S. R., Dharmawan, D., Saksono, L., Ekasari, S., & Abdurohim. (2023). Analysis of the Influence of Digital Information Quality, Technology Performance Expectancy, Technology Effort Expectancy, Price Value and Social Influence on Intention to Use Coffee Shop Mobile Application. Jurnal Informasi Dan Teknologi, 5(4), 171-176. https://doi.org/10.60083/jidt.v5i4.434
Section
Articles

References

[1] Ariffin, S., Abdul Manan, H., Ahmad, N., Muhammad, N. S., Hamdan, F., & S Kelana, N. S, “Continuous intention to use technology of online food delivery services among young adults,” Advances in Business Research International Journal, vol. 7, no. 1, pp. 56-64, 2021.
[2] Parulian, N. A., & Tannady, H. (2023). The Role of Electronic Word of Mouth on Customer Purchase Intention in Social Media Instagram. JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi), 9(2), 226-231.
[3] Yanti, D., Subagja, A. D., Nurhayati, S., Rezeki, S. R. I., Limbong, C. H., & Hamid, R. S. (2023). Short Videos & Social Media Algorithms: Effective Communication in Tourism Marketing. International Journal of Artificial Intelligence Research, 6(1.2).
[4] Cheng, Y., Sharma, S., Sharma, P., & Kulathunga, K. M. M. C. B, “Role of personalization in Continuous Intention to Use of Mobile news apps in India: Extending the UTAUT2 model,” Information, vol. 11, no. 1, pp, 33, 2020.
[5] Restiviani, Y., Putra, N., Irwansyah, S. R., & Zahara, R. (2021). Filtering Before Sharing Hoax Covid-19 Anticipation Efforts Social Media, Islamic Communication Ethics, And Public Responsibility Perspective. Asian Social Science and Humanities Research Journal (ASHREJ), 3(1), 10-21.
[6] Gao, L., Waechter, K. A., & Bai, X, “Understanding consumers’ continuance intention towards mobile purchase: A theoretical framework and empirical study–A case of China,” Computers in Human Behavior, vol. 53, pp. 249-262, 2015.
[7] Fajariah, F., Saragih, H., Dharmawan, D., Judijanto, L., & Munizu, M. (2023). Application of Principal Component Analysis and Maximum Likelihood Estimation Method to Identify the Determinant Factors Intention to Use of Paylater in E-Commerce. Jurnal Informasi dan Teknologi, 118-123.
[8] Lee, S. W., Sung, H. J., & Jeon, H. M, “Determinants of continuous intention on food delivery apps: extending UTAUT2 with information quality,” Sustainability, vol. 11, no. 11, pp. 3141, 2019.
[9] Dharmawan, D., Judijanto, L., Rahmi, N., & Lotte, L. N. A. (2023). Analysis Of The Influence Of E-Word Of Mouth, Brand Image And E-Service Quality On Repurchase Intention Of Digital Bank Customers. JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi), 9(6), 2606-2612.
[10] Muangmee, C., Kot, S., Meekaewkunchorn, N., Kassakorn, N., & Khalid, B, “Factors determining the behavioral intention of using food delivery apps during COVID-19 pandemics,” Journal of Theoretical and Applied Electronic Commerce Research, vol. 16, no. 5, pp. 1297-1310, 2021.
[11] Tannady, H., & Purnamaningsih, P. (2023). Determinant factors customer satisfaction and its implication on customer loyalty: from the perspective of customers of Vespa. International Journal of Science, Technology & Management, 4(2), 434-438.
[12] Naufaldi, I., & Tjokrosaputro, M, “The Influence of Perceived Ease of Use, Perceived Usefulness, and Trust on Intention to Use,” Jurnal Manajerial Dan Kewirausahaan, vol. 2, no. 3, pp. 715-722, 2020.
[13] Tannady, H., Pahlawi, N., Hernawan, M. A., Arta, D. N. C., & Yusuf, S. D. (2023). Role of Stock Performance as an Intervening Variable in a Relationship Between Profitability, Leverage, Growth and Company Value. JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi), 9(2), 220-225.
[14] Yeo, S. F., Tan, C. L., Teo, S. L., & Tan, K. H, “The role of food apps servitization on repurchase intention: A study of FoodPanda,” International Journal of Production Economics, vol. 234, pp. 108063, 2021.

Most read articles by the same author(s)

1 2 3 > >>