Claim Missing Document
Check
Articles

Found 40 Documents
Search

Does Digital Strategy Disclosure Improve Operational Profitability? Text-Mining Evidence from Indonesia's Large-Cap Firms, 2019–2024 Delfi Gunardy; Siska Noviaristanti
Return : Study of Management, Economic and Bussines Vol. 5 No. 5 (2026): Return: Study of Management, Economic and Business
Publisher : PT. Publikasiku Academic Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57096/return.v5i5.460

Abstract

The productivity paradox, the puzzle that intensive digital investment does not always translate into observable efficiency gains, remains an underexamined issue in emerging-market corporate practice. Background: While corporate annual reports of large Indonesian firms increasingly feature digital strategy language, it is unclear whether this narrative intensity coincides with measurable improvements in asset-based profitability. Purpose of the Study: This paper asks whether the intensity with which firms communicate their digital strategy in annual reports is reflected in Return on Assets (ROA) among Indonesia’s largest publicly listed companies. Methods: We develop a reproducible bilingual text-mining procedure to score the digital-strategy intensity (DGS) of annual reports from the 50 largest IDX-listed firms for the fiscal years 2019 through 2024, generating a strongly balanced firm-year panel of 300 observations. The DGS is normalized by document length to control for narrative volume. We estimate firm-and-year fixed-effects panel regressions of ROA on DGS with firm-clustered robust standard errors, and we conduct sensitivity analyses based on one-year lags, pandemic versus post-pandemic sub-periods, and leave-one-control-out perturbations. Results: The within-firm association between DGS and ROA is statistically indistinguishable from zero. The point estimate is small and directionally negative, consistent with the productivity-paradox conjecture that short-run adjustment costs of digital initiatives may temporarily depress asset productivity before any payoff appears. Leverage emerges as the only consistent within-firm predictor of ROA, and the 2020 dummy captures a sharp pandemic-related profitability shock. Conclusions: Disclosure-based digital intensity should be read as a marker of strategic orientation, not as evidence of realized operational gains. The findings document an implementation gap between digital narrative and asset productivity in the Indonesian large-cap segment and supply a methodological foundation for subsequent studies that examine valuation effects and complementary-asset moderators.
Industry 4.0 Readiness and Roadmap in Food Industry: Insights from Indonesian Manufacturing Enterprises Using Explanatory Sequential Mixed-Method Design Iman Rahmatulloh; Siska Noviaristanti; Muhammad Awaluddin
Eduvest - Journal of Universal Studies Vol. 4 No. 2 (2024): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v4i2.1023

Abstract

The paper aims to understand the current readiness level of Industry 4.0 in the food industry. Furthermore, the study explores the prioritized Industry 4.0 dimensions and initiatives needed to improve the readiness level. The study uses an explanatory sequential mixed-method design. In the quantitative phase, the Industry 4.0 readiness assessment was conducted using the Smart Industry Readiness Index framework. The quantitative study further explores the prioritized dimensions using The Prioritization Matrix framework. In the qualitative phase, interviews with industry practitioners from the participating companies were conducted to gain more understanding and propose the conceptual roadmap. The study found that the Indonesian food industry has a better average readiness than the global average but significantly lower than the best-in-class manufacturers. Vertical Integration, Shop Floor Intelligence, Shop Floor Automation, and Workforce Learning & Development are four priority dimensions to increase the readiness level in the food industry. A conceptual roadmap was proposed to improve the readiness index based on the strategic planning horizon, prioritized dimensions, and initiatives identified from interview results. The results of this study would provide an additional reference for applying explanatory sequential mixed-method design. The prioritized dimensions found would also benefit other researchers in the development of the readiness or maturity model. This paper provides a deeper understanding of Industry 4.0 readiness, the prioritized dimensions, and related improvement initiatives to propose the strategic roadmap for the food industry by utilizing explanatory sequential mixed-method design.
Analysis of acceptance and use of the NCX application using the UTAUT2 modification model at Telkom Indonesia Fikrian Hadi; Siska Noviaristanti
International Journal of Accounting and Management Information Systems Vol. 2 No. 2 (2024): August
Publisher : Goodwood Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/ijamis.v2i2.3224

Abstract

Purpose: This study aims to examine user evaluations of factors influencing the use of the NCX application and their impact on behavioral intention and usage. Using the modified UTAUT2 model, the study focuses on Telkom CFU Enterprise, which delivers ICT services such as connectivity, cloud, and digital platforms. NCX, a CRM application, supports CFU Enterprise operations. Method: This application can be used to manage the customer data. This study uses the modified UTAUT2 model, which is a development of the UTAUT2 model that adds compatibility and personal innovativeness constructs. Results: This study is expected to provide useful insights to increase the adoption and use of the NCX application in the Telkom CFU Enterprise environment. Conlusion: Key variables from the modified UTAUT2 model, including compatibility and personal innovativeness, significantly affect user intention and behavior, providing guidance for improving NCX engagement. Limitation: The research is limited to the CFU Enterprise environment and may not be generalizable to other units or industries. The use of cross-sectional data also restricts the ability to observe behavioral trends over time. Contribution: This study contributes to the extension of UTAUT2 by validating additional constructs in a corporate CRM context. It also offers practical recommendations for improving technology acceptance within enterprise environments through strategic alignment with user needs and characteristics.
Business model innovation of IT management consulting companies based on SAP ERP technology in Indonesia Blasius Febrianus Dwi SW; Siska Noviaristanti
International Journal of Accounting and Management Information Systems Vol. 2 No. 2 (2024): August
Publisher : Goodwood Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/ijamis.v2i2.3226

Abstract

Purpose: This study aims to examine how IT management consulting companies in Indonesia innovate their business models based on SAP ERP technology to remain competitive and adaptable amidst digital transformation demands. It explores the influence of technology, customer needs, profitability, and infrastructure on the evolution of their business strategies. Research methodology: The study employs a qualitative descriptive approach using purposive and snowball sampling techniques. Data were collected through in-depth interviews and observations with top executives and senior consultants from three leading IT consulting firms: PT. Soltius Indonesia, PT. Sigma Cipta Caraka (Telkom Sigma), and PT. Wilmar Consultancy Services. Business Model Canvas (BMC) and Pivot Theory were used as the analytical frameworks to evaluate business model changes and innovation scores. Results: The findings reveal that the consulting companies have shifted from traditional project-based models to data-driven, cloud-based, and subscription-oriented service models. Four main pivot dimensions resource-driven, offer-driven, customer-driven, and finance-driven underpin this transformation. Strategic innovations include co-creation approaches with clients, preconfigured ERP packages, KPI-based outcome services, and integration of AI, cloud, and analytics. These changes enable the companies to address growing demands for digitalization, efficiency, and insight-based decision-making. Conclusions: Business model innovation enables IT consulting firms in Indonesia to adapt to digital transformation. By shifting to cloud-based, data-driven, and subscription models, they enhance flexibility, efficiency, and client value. Success depends on technology, customer needs, and organizational readiness, positioning these firms as strategic partners in digitalization. Limitations: This study is limited to three case studies and relies on qualitative data, which may not capture the full spectrum of innovation practices across the broader consulting industry. The findings are context-specific and may not be generalizable without further quantitative validation. Contribution: This study offers a strategic reference for IT consultants to adapt their business models through innovation aligned with digital trends.
Extended UTAUT2-Based Analysis of User Acceptance of EIGER’s Mobile Shopping App Primanola Perdananti; Siska Noviaristanti
Journal Research of Social Science, Economics, and Management Vol. 4 No. 7 (2025): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v4i7.782

Abstract

This study investigates user acceptance of the EIGER Adventure mobile application, designed to enhance online shopping convenience for outdoor gear enthusiasts in Indonesia. The research employs an extended UTAUT2 model, incorporating Perceived Risk and Trust variables, to analyze factors influencing consumer behavior. A purposive sampling method was used to collect data from 478 respondents who are active users of the EIGER application. The research adopts a quantitative approach, with data analyzed using Structural Equation Modeling (SEM) through SmartPLS 4. The results indicate that Social Influence and Trust significantly affect Behavioral Intention to use the app, while Habit influences both Behavioral Intention and Use Behavior. Furthermore, Behavioral Intention was found to have a positive impact on Use Behavior, suggesting that users’ intention to use the app strongly predicts actual usage behavior. These findings offer valuable insights into the factors driving user acceptance and app adoption, emphasizing the importance of Trust and Social Influence in shaping consumer behavior. The study also highlights the role of Habit in both the intention to use and actual usage of mobile shopping apps. Based on these findings, the study provides recommendations for strategies to improve user engagement and optimize the development of mobile shopping apps, particularly in the outdoor gear industry, to better meet consumer expectations and enhance the overall shopping experience
Analysis of B2B Commerce Platform Adoption Model Using Technology Organization Environment Framework on Medbiz Abdul Ghany Lukman Nugraha; Siska Noviaristanti
Jurnal Organisasi dan Manajemen Vol. 21 No. 1 (2025)
Publisher : LPPM Universitas Terbuka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33830/jom.v21i1.11128.2025

Abstract

Purpose –This study investigates the factors influencing customers' decisions to adopt the Medbiz Pharmaceutical B2B Commerce platform as an enabler in the pharma integrated supply chain. It uses technology, organization, environment (TOE)  as its framework. The factors examined include relative advantage, compatibility, complexity, IT readiness, top management support, competitive pressure, business partner pressure, and external support. The findings are expected to provide insights for Medbiz stakeholders to develop strategies that enhance user acceptance and adoption of the platform.  Methodology – A quantitative approach was employed to identify the critical drivers of Medbiz adoption. A cross-sectional survey of 372 respondents, consisting of pharmaceutical outlet representatives, was conducted using random sampling. Data was collected through a structured questionnaire based on a 4-point Likert scale. Findings – The result shows that relative advantage, compatibility, competitive pressure and external support have a positive, significant impact on Medbiz adoption, while complexity has a negative, significant effect. Conversely, IT readiness, top management support, and business partner pressure show negative, insignificant effects, leading to hypothesis rejection. Originality – Studies related to the pharma B2B commerce adoption model in organizations are very limited, especially in Indonesia.
Analysis of Mobile Banking Adoption with a Modified Technology Acceptance Model (TAM) on the Mybca Mobile Banking Application Adeline Louisa Widjaja; Siska Noviaristanti
Enrichment: Journal of Multidisciplinary Research and Development Vol. 3 No. 3 (2025): Enrichment: Journal of Multidisciplinary Research and Development
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/enrichment.v3i3.383

Abstract

Digital transformation is reshaping all industries, including the banking sector. One key driver is the shift in customer behavior toward smartphone-based financial transactions. Bank BCA introduced the myBCA mobile banking application to address this trend; however, its adoption remains relatively low. This study investigates the factors influencing customer adoption of myBCA, addressing a research gap in understanding mobile banking adoption in the context of a new platform with low user uptake. The study extends the Technology Acceptance Model (TAM) by integrating six additional variables: Perceived Trust (PT), Social Influence (SI), Perceived Risk (PR), Perceived Security (PS), and Habit (HT), alongside Perceived Usefulness (PU) and Perceived Ease of Use (PEU). Intention to Use (ITU) is positioned as a mediating variable. Data were collected from 400 respondents via online surveys using simple random sampling. Analysis was conducted using PLS-SEM with SmartPLS. Results indicate that PU, PEU, PT, SI, PS, and HT positively influence Adoption of Mobile Banking (AMB) through ITU, while PR has a negative effect. ITU explains 59.5% of the variance, while AMB is explained by 48.1%. The novelty of this research lies in its comprehensive model that incorporates behavioral, security, and trust-related variables to explain adoption in a newly launched mobile banking platform—an area not widely examined in existing TAM-based studies. This study offers theoretical contributions for future research and practical insights for Bank BCA to enhance myBCA adoption by focusing on trust-building, security assurance, and habitual engagement strategies.
Analysis Of The Adoption Of The Use Of The Indonesian Standard Quick Response Code (Qris) Using The Development Of The Technology Acceptance Model (Tam) In Msmes In Tarakan City Andry Arifin; Siska Noviaristanti
Enrichment: Journal of Multidisciplinary Research and Development Vol. 3 No. 4 (2025): Enrichment: Journal of Multidisciplinary Research and Development
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/enrichment.v3i4.423

Abstract

In Tarakan City the increase in the number of QRIS users was followed by an increase in the number of QRIS merchants but did not reach the desired level. Recorded in the National Merchant Respository (NMRI) as much as 45.76% from the end of 2019 to June 2024. The purpose of this study is to analyze the use of QRIS for MSMEs in Tarakan City through the integration of the Technology Acceptance Model (TAM) model and the addition of other variables. The research findings indicate that Social Influence, Perceived Ease of Use, Perceived Trust, Perceived Value, and Intention to Use have a significant influence on the adoption of QRIS by MSMEs in Tarakan City. Conversely, Attractiveness of Alternatives, Perceived Security, and Perceived Usefulness do not show a significant direct influence on Intention to Use. These findings suggest that social encouragement, ease of use, trust, and perceived value are key factors in driving the acceptance of QRIS, while the attractiveness of alternatives and perceived security play a limited role in this context. This study provides practical implications for MSME actors and Bank Indonesia to enhance socialization, training, and trust in QRIS to achieve more optimal adoption targets
Analysis of M-Commerce Adoption in Online Food Delivery Services Using the TAM3, UTAUT2, and TOE Models in MSMES in the Food and Beverage Sector in the Central Parahyangan Area, West Java Muhammad Farrell Pradichytama Raksawaruga; Siska Noviaristanti
Enrichment: Journal of Multidisciplinary Research and Development Vol. 3 No. 6 (2025): Enrichment: Journal of Multidisciplinary Research and Development
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/enrichment.v3i6.476

Abstract

Mobile commerce in online food delivery services (OFDS) is a technological innovation designed to simplify digital business operations. The increasing adoption of mobile commerce in OFDS demonstrates significant interest in the local community as a means of conducting business digitally. The Central Parahyangan region of West Java has seen a significant surge in adoption of this technology. The purpose of this study is to analyze mobile commerce adoption in OFDS using the TAM3, UTAUT2, and TOE models in the Central Priangan region of West Java. This study identifies the conditions and influences of mobile commerce adoption in online food delivery services, using the variables Computer Self-Efficacy (CSE), Computer Anxiety (CA), Result Demonstrability (RD), Mobile-Commerce Knowledge (MCK), Pressure from Trading Partners (PTP), Pressure from Competitors (PC), and Hedonic Motivation (HM) on mobile commerce adoption. The results of the study indicate that Computer Self-Efficacy, Computer Anxiety, Result Demonstrability, Mobile Commerce Knowledge, Pressure from Trading Partners, Pressure from Competitors have a significant influence on the adoption of m-commerce on OFDS among MSMEs in the food and beverage sector in the Central Priangan area, West Java. At the same time, Hedonic Motivations as a moderating variable of Computer Self-Efficacy, Computer Anxiety, and Result Demonstrability also have a significant influence on Mobile Commerce Adoption. These findings indicate that self-confidence, demonstrated results, pressure from peers and competitors, and hedonic motivations are crucial in driving OFDS adoption. This study provides implications for MSMEs to be more exposed to OFDS technology in order to achieve more adequate adoption targets.
Analysis of Google Play Store Reviews Using Natural Language Processing (NLP) and Importance Performance Analysis (IPA) for the Development of Mobile Banking Application Businesses Wondr BNI Ade Naufal Febrianto; Siska Noviaristanti
Enrichment: Journal of Multidisciplinary Research and Development Vol. 3 No. 6 (2025): Enrichment: Journal of Multidisciplinary Research and Development
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/enrichment.v3i6.501

Abstract

In the digital era, mobile banking applications have become essential services for modern society. The study aims to identify user sentiment toward the Wondr BNI application using Natural Language Processing (NLP) methods and analyze the application's performance through Importance Performance Analysis (IPA). This study employs a mixed-method approach, utilizing qualitative data from Google Play Store reviews and quantitative data from questionnaire results. Review data were collected through web scraping and analyzed using NLP based on a Support Vector Machine (SVM) algorithm. Quantitative data from the questionnaire were evaluated to map the key elements that need improvement in the application. The research findings indicate that 50.5% of user sentiments were positive, while 49.95% were negative, with application instability, access and login difficulties, and transaction performance emerging as the main issues based on sentiment analysis of 18,820 user reviews. Through the Importance Performance Analysis (IPA) method applied to 422 respondents, service attributes were mapped into four quadrants. Although no attributes were positioned in Quadrant I (Top priority), several issues identified in the qualitative findings should remain a focal point for developers’ evaluation. Attributes located in Quadrant II, such as security and transaction performance, are recommended to be maintained. Based on the integration of findings and the SERVQUAL theoretical framework, application development strategies should be directed toward enhancing technical reliability and service responsiveness, with a particular emphasis on improving application stability, ease of access, and continuous evaluation of features that align with user needs.