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All Journal International Journal of Informatics and Communication Technology (IJ-ICT) Journal of Business Strategy and Execution Journal The Winners JAM : Jurnal Aplikasi Manajemen MIX : Jurnal Ilmiah Manajemen Management Analysis Journal Syntax Literate: Jurnal Ilmiah Indonesia JURNAL ILMIAH GLOBAL EDUCATION Sibatik Journal : Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, Dan Pendidikan Jurnal Impresi Indonesia Journal Of World Science Journal of Accounting and Finance Management (JAFM) Eduvest - Journal of Universal Studies
Evi Rinawati Simanjuntak
Faculty Of BINUS BUSINESS SCHOOL, BINUS UNIVERSITY, JWC Campus, Jl. Hang Lekir I No. 6, Kebayoran Baru, South Jakarta 12120
Religion Aerospace Engineering Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Neuroscience Social Sciences Other

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Journal : Journal Of World Science

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Application of Technology Acceptance Model (TAM) in Telemedicine Application During Covid-19 Pandemic Galuh Puspitarani Sudaryono, Noverinda; Fadhiil, Mahmud; Syarifah, Syarifah; Rinawati Simanjuntak, Evi
Journal of World Science Vol. 2 No. 7 (2023): Journal of World Science
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jws.v2i7.311

Abstract

The COVID-19 pandemic hit the whole world, including Indonesia, forcing people to limit all activities outside their homes, including treatment activities to hospitals. This study aims to examine the application of the technology acceptance model (TAM) to telemedicine applications during the COVID-19 pandemic. The proposed research model is formulated from the extended technology acceptance model theory with empirical testing using data obtained from telemedicine user surveys. This study analyzed two additional external factors: privacy concerns and trust. Data is processed using SmartPLS software. A total of 406 telemedicine users participated in this study with male, n=206; 51%, female, n=200; 49%. Research respondents habitually used telemedicine applications during the COVID-19 pandemic that hit Indonesia. Among these respondents, 94.7% reported using telemedicine services during the COVID-19 pandemic. The most widely used telemedicine application, with a total of 59.7% of respondents, chose Halodoc. The external variable privacy concern does not affect the perceived usefulness of telemedicine used. However, trust and perceived usefulness are associated with a positive significance in telemedicine used during the COVID-19 pandemic in Indonesia. Privacy concerns have a limited impact on the perception of expediency but influence the ease of use of telemedicine apps. On the other hand, trust plays a vital role in shaping telemedicine's perceived usefulness and ease of use during the COVID-19 pandemic, as telemedicine has become indispensable for accessing healthcare services.
Self-Efficacy and Technology Adoption for Micro, Small and Medium Enterprises: An Integrated Model of Task-Technology Fit and Technology Acceptance Victorina Rosette Mantik, Tirza; Debora Kandouw, Dominic; Gabriella Karouwan, Nadya; Rinawati Simanjuntak, Evi
Journal of World Science Vol. 3 No. 2 (2024): Journal of World Science
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jws.v3i2.534

Abstract

The development and digitization of the MSMEs ecosystem are accelerated steps towards realizing digital MSMEs that have an impact on the country's economy in the digital transformation era. This study aims to determine self-efficacy, which is an external variable, and technology adoption by MSMEs when implementing the integration of two technological models, namely task-technology fit (TTF) and technology acceptance (TAM), in their business activities. Data were collected through a questionnaire survey distributed to 269 MSMEs using convenience sampling and analyzed using PLS-SEM. The findings of this study indicate that self-efficacy has a greater influence than TTF on perceived ease of use, and the hypothesis about the components of TTF and TAM are supported based on the data on attitudes towards and intentions to use them. This study provides practical recommendations for stakeholders to empower MSMEs and for MSMEs themselves to leverage technology adoption in their business activities. The implications of this research provide practical recommendations for stakeholders to strengthen Micro, Small, and Medium Enterprises (MSMEs) and enhance the adoption of technology in their business activities, thereby driving the growth of the country's economy in the digital transformation era.
Contagion-Based Chatbot Usage Intention: Synthesizing Technology Adoption And Social Contagion Theory Rumetor, Meilisa; Thea Sajow, Gabriela; William Niode, Daniel; Rinawati Simanjuntak, Evi
Journal of World Science Vol. 3 No. 2 (2024): Journal of World Science
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jws.v3i2.535

Abstract

Chatbots have become transformative technology in the banking industry. However, there is still a knowledge gap in understanding the influence of social contagion on chatbot user behavior. This research aims to identify and analyze the intention to use chatbots based on the synthesis of technology adoption and social contagion theories. The research method used is quantitative, employing a survey approach and collecting data through online questionnaires from 300 chatbot users in private banks in Manado. Data analysis was conducted using smartPLS. The research results indicate that factors such as Perceived Effectiveness, Perceived Ease of Use, and Coercive Pressure significantly influence users' intention to continue using chatbots. However, normative pressure and mimicry do not have a significant impact. These findings provide an important contribution to theoretical understanding and practical application in the sustainable use of chatbots in the banking industry, which can assist banks in designing more effective marketing strategies and services.
Co-Authors Adela Diovany Anthony, Benrik Asnawir, Muh Asri, Damayanti Kurnia Az, M. Fariduddin Billah, Muhammad Kafa Debora Kandouw, Dominic Fadhiil, Mahmud Ferrel Enoch Ibrahim Gabriella Karouwan, Nadya Galuh Puspitarani Sudaryono, Noverinda Hardi, Indah Oktaviani Hartono, Phebie Carissa Levia, Marleen Mahendra, Ronny Albar Maki, Ahmad Marcellina Elfrida Laksmana Maria Wibisono, Stefani Naulita, Maria Anisa Panjaitan, Donna Paramadana, Satya Pratama, Rendy Setya Priyana, Cynthia Susanty Rumetor, Meilisa Syarifah Syarifah, Syarifah Tamtomo, Jani Thea Sajow, Gabriela Victorina Rosette Mantik, Tirza William Niode, Daniel Yusha, Yudhistira Bawa