Article Per Year (5 Year)
p-Index From 2021 - 2026
2.908
P-Index
This Author published in this journals
All Journal Technomedia Journal Aptisi Transactions on Management Aptisi Transactions on Technopreneurship (ATT) JABM JOURNAL of ACCOUNTING - BUSINESS & MANAGEMENT ADI Journal on Recent Innovation (AJRI) IAIC Transactions on Sustainable Digital Innovation (ITSDI) AICS Startupreneur Business Digital (SABDA Journal) International Journal of Accounting & Finance in Asia Pasific Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi Blockchain Frontier Technology (BFRONT)
Handra, Tessa
Unknown Affiliation
Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Social Sciences Other

Published : 15 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 15 Documents
Search

 1   2 
How Theory of Planned Behavior And Perceived Risk Affect Online Shopping Behavior Bangun, Cicilia Sriliasta; Handra, Tessa
APTISI Transactions on Management (ATM) Vol 5 No 2 (2021): ATM (APTISI Transactions on Management: July)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v5i2.1594

Abstract

This study aims to analyze the affect of attitude, subjective norm, perceived behavioral control, and perceived risk on intention to shop online and its impact on online shopping behavior. The exogen variables on this study are attitude, subjective norm, perceived behavioral control, and perceived risk. While the endogen variables are intention to shop online and behavior to shop online. Data collection was carried out by distributing 100 questionnaires to users of e-commerce as respondents. By using SEM PLS, this result of this study showed that from 5 initial hypotheses were developed; only 2 hypotheses did not affect to shop online’s behavior; there were subjective norm to intention to shop online; and perceived risk to purchase intention
The Theory of Planned Behavior Influences Online Shopping Behavior Sutisna, Felix; Handra, Tessa
APTISI Transactions on Management (ATM) Vol 6 No 1 (2022): ATM (APTISI Transactions on Management: January)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v6i1.1691

Abstract

Nowdays many factors influence shopper interested in buying merchandise through e-business, such as promotions made by e-business companies, speed and less time, fast payment transactions and low cost, and marketing mix. Most shopper utilize e-business to shop for food products, electronics, logistic (such as gojek/grab/uber, travel) and others. The application of e-business can not be separated from the expertise and knowledge of the public in using the internet and computer systems. However, Indonesian people's awareness of e-business is still low, many people do not know how to utilize it. This is due to low internet infrastructure factors, poor telecommunication facilities. This is still a barrier to the interest of the people of Indonesia to testify online. In addition, shopper confidence and trust in the security of e-business can affect someone to shop online. In explaining the factors that impact on shopper conduct to utilize e-business utilized theory of planned behavior approach. The theory of Planned Behavior (TPB) has supported the prediction of many different conducts of people. TPB shows that determining conduct is one's purpose. This study aims to analyze the impact of perceived behavioral control, subjective norm, and attitude, on purpose to shop online and its impact on online shopping behavior. Exogenous variable research is perceived behavioral control, subjective norm, and attitude. The variables of endogenous research are intended to shop online and online shopping behavior. The research sample of 100 respondents was shopper who shopped in e-business X. Data collection method using questionnaires. Data analysis method using SEM PLS.
Evaluating the Mediating Role of HR Practices in Workplace Digitalization Using SmartPLS Handra, Tessa; Patricia Pasha, Lucy; Malika, Najalia
APTISI Transactions on Management (ATM) Vol 9 No 2 (2025): ATM (APTISI Transactions on Management: May)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v9i2.2411

Abstract

The rapid digitalization of workplaces has transformed organizational opera- tions, but the role of human resource (HR) practices in this process remains un- derexplored. Understanding how HR practices mediate the relationship between digitalization and organizational outcomes is crucial for maximizing the benefits of technological investments. This study aims to examine the mediating role of HR practices in workplace digitalization and its impact on organizational performance. Using a quantitative research design, data were collected through a structured survey of 300 HR professionals and managers across various in- dustries. Structural Equation Modeling (SEM) with SmartPLS was employed to analyze the relationships between workplace digitalization, HR practices, and organizational outcomes. The study tested hypotheses regarding the direct in- fluence of digitalization on HR practices and the mediating effect of HR in- terventions on organizational performance. Results indicate that workplace digitalization significantly and positively affects HR practices (path coefficient = 0.72, p < 0.001), and HR practices substantially mediate the relationship be- tween digitalization and organizational outcomes (indirect effect = 0.31). These findings highlight the critical role of HR strategies, such as targeted training and performance management, in leveraging digital transformation for improved or- ganizational effectiveness. The study concludes that aligning HR practices with digital initiatives is essential for realizing the full potential of workplace digitalization, contributing to both organizational success and broader Sustain- able Development Goals.
Data-Driven Innovation for Circular Digital Economy in Sustainable Urban Development Lukita, Chandra; Handra, Tessa; Oganda, Fitra Putri; Laurens, Mackenzie
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 7 No 1 (2025): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v7i1.710

Abstract

The rapid advancement of digital technology has transformed how cities innovate and sustain their growth, making data-driven innovation a crucial element in achieving sustainable urban development. This study aims to examine the integration of data analytics, artificial intelligence, and Internet of Things within the framework of a circular digital economy to promote smarter, greener, and more resilient cities aligned with the Sustainable Development Goals. Using a Systematic Literature Review method, the research collected and analyzed publications from 2015 to 2024 obtained from major academic databases such as Scopus, ScienceDirect, and IEEE Xplore. The results show that data accessibility, interoperability, and digital infrastructure enhance efficiency in energy, mobility, and waste management, while digital tracking supports circularity and resource optimization. Governance that applies human-centered design further ensures inclusivity and transparency in urban systems. Overall, the findings highlight that data serves not only as a technological asset but also as a strategic driver for sustainable transformation. The study concludes that integrating data-driven innovation with circular economy principles strengthens collaboration among governments, industries, and communities, enabling cities to achieve long-term sustainability and contribute effectively to global goals such as innovation, responsible consumption, sustainable cities, and climate action.
Governance Frameworks for Sustainable Artificial Intelligence in Digital Business Practices Sunarya, Po Abas; Handra, Tessa; Syahyono, Syahyono; Al-Farouqi, Kamal Arif; Sihotang, Sondang Visiana
ADI Journal on Recent Innovation (AJRI) Vol. 7 No. 2 (2026): March
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ajri.v7i2.1443

Abstract

The rapid advancement of digital technologies has accelerated organizational transformation across industries, compelling firms to adopt emerging innovations such as Artificial Intelligence (AI) and cloud computing to enhance operational efficiency, scalability, and data-driven decision-making. Despite their growing adoption, challenges related to security, governance, and sustainability often constrain the realization of their full strategic value. This study aims to investigate the integrated role of AI and cloud computing in supporting secure and sustainable digital transformation, particularly in relation to efficiency, governance, and sustainability outcomes aligned with the Sustainable Development Goals (SDGs). A qualitative research design based on a systematic literature review was employed to synthesize insights from prior studies on AI, cloud computing, and digital transformation. The findings indicate that cloud computing provides scalable and secure infrastructure, while AI enhances intelligent automation, predictive analytics, and decision-making capabilities. Furthermore, their integration generates synergistic effects that improve operational efficiency, strengthen data governance, and support sustainability through optimized resource utilization. These results highlight the complementary relationship between cloud computing and AI in enabling secure, efficient, and sus- tainable digital ecosystems. This study contributes to the digital transformation and governance literature by offering an integrated conceptual perspective and provides practical insights for organizations in aligning technological adoption with sustainability and governance objectives.
Co-Authors Adam, Mochammad Riyadh Rizky Al-Farouqi, Kamal Arif Annas, Mohammad Aurora, Cindy Bangun, Cicilia Sriliasta Bennet, Daniel Choirisa, Septi Fahmi Eka Ardianto Fitra Putri Oganda Henry, Henry Jap, Yustina Peniyanti Jati Kusumo, Ariya Laurens, Mackenzie Malika, Najalia Panjaitan, Arop Ria Saulina Parker, Jonathan Patricia Pasha, Lucy Po Abas Sunarya PRATIWI, PUTU YANI Purnama, Suryani Rizkalla, Nosica Rowena, Janny Sihotang, Sondang Visiana Simangunsong, Elliot Sutisna, Felix Syahyono, Syahyono Wuisan, Dewi Surya