
RESEARCH ROADMAP 2025–2029
Digital Services Marketing
Research Cluster
The Digital Service Marketing Research Group focuses on consumer behavior in the adoption and use of artificial intelligence in digital services. Its research examines how consumers respond to, adopt, and evaluate AI-enabled digital services in four primary sectors: healthcare, education, retail, and financial services.
The group integrates service marketing, consumer behavior, and digital technology theories to generate academic contributions and strategic insights for industry, government, and society. It also seeks to establish cross-disciplinary and multi-helix collaboration to develop digital services that are effective, trustworthy, inclusive, secure, and responsible.
The Research Group is chaired by Imam Salehudin, S.E., M.Si., Ph.D., CertDA. Its members are Anna Amalyah Agus, Aswin Dewanto Hadisumarto, Daniel Tumpal Hamonangan Aruan, Dwi Widiastri, Gita Gayatri, Ira Iriyanty, Khairani, Sumiyarto, Triza Mudita, and Ulian Taurin Malik.
To become a leading research group in digital service marketing that generates evidence-based knowledge, models, and solutions to support the development of effective, trustworthy, inclusive, secure, and responsible digital services that create meaningful impact for society, industry, government, and the advancement of knowledge.
The Digital Service Marketing Research Group is positioned primarily within the UI research focus area of Innovative and Connected Society.
This alignment is particularly reflected in the following themes:
| UI Research Focus Area | Contribution of the Research Group |
| Health and Well-Being | Adoption of telemedicine, medical chatbots, virtual health assistants, AI for initial triage or diagnosis, patient trust, service quality, and disparities in access to digital health services. |
| Resilience and Security | Consumer privacy, data security, trust in digital systems, algorithmic risk, fraud detection, digital financial service security, and consumer protection. |
| Earth, Climate, and Environment | Digital marketing for sustainable consumption, acceptance of environmentally responsible services, climate-change communication, the circular economy, and consumer behavior change. |
| Energy and Material Resources | This is not a primary focus of the Research Group. Involvement may occur through collaboration when research addresses consumer acceptance, marketing, or the adoption of energy-related and sustainable technologies. |
Within this positioning, the Research Group does not operate as a pure AI technology unit. Its distinctive contribution lies in understanding the people, consumers, organizations, and markets that determine whether a digital service is accepted and creates impact.
This pillar examines the factors that shape the acceptance, use, satisfaction, engagement, loyalty, and continued use of digital services.
This pillar examines the formation of trust and perceptions of risk in the use of AI, algorithms, and automated services.
This pillar examines how AI can create relevant and responsive service experiences.
This pillar examines consumer behavior in platform ecosystems and the consequences of digital business and monetization models.
This pillar directs research outcomes toward the needs of society, industry, government, and groups that may experience digital inequality.
This program develops models explaining the formation of trust, perceived risk, acceptance, and continued use of AI-enabled services. Its primary contexts are healthcare, education, retail, financial services, and public services.
This program examines how chatbots, virtual assistants, recommender systems, and personalization create value without diminishing consumer control, comfort, and well-being.
This program examines consumer behavior, monetization, advertising, dark patterns, advertising and purchase avoidance, platform dependence, and the protection of vulnerable consumers.
This program develops and evaluates digital services that support inclusion, literacy, MSME capacity building, education, healthcare, public services, and sustainable consumption.
Problem identification → Basic research → Empirical validation → Applied research
→ Solution development → Partner-based pilot → Dissemination and adoption → Impact evaluation
The Research Group follows the Universitas Indonesia research-development pathway by combining:
Outputs are not limited to academic publications. They may also include datasets, measurement instruments, academic papers, policy briefs, learning modules, teaching cases, guidelines, service audits, prototypes, and social innovations.
The year 2025 constituted the establishment stage and the definition of the Research Group’s identity.
The year 2026 focuses on institutional consolidation and the formation of a shared research portfolio.
The year 2027 focuses on empirical research and the development of national and international collaboration.
The year 2028 focuses on translating research findings into solutions that can be tested and used.
The year 2029 focuses on adoption, scaling, and the measurement of research impact.
Each research program is expected to generate a combination of outputs across three layers.
| Layer | Orientation | Illustrative Outputs |
| Academic excellence | Theory development and empirical evidence | Q1/Q2 journal articles, national journal articles, conference papers, books, datasets, and instruments |
| Translation and innovation | Translation of knowledge into solutions | Policy briefs, teaching cases, modules, toolkits, audits, prototypes, and intellectual property |
| Adoption and impact | Use by intended beneficiaries | Organizational implementation, policy change, industry adoption, community capacity building, and replication |
This approach ensures that not every study is required to produce an immediately commercializable product. Fundamental research remains essential, while studies with applied potential are progressively directed toward validation, piloting, adoption, and impact.
| Actor | Contribution |
| Academia | Theory development, methodology, data, publications, and evaluation. |
| Industry | Needs identification, access to field settings and data, funding, and implementation. |
| Government | Policy direction, access to programs, regulation, and use of recommendations. |
| Communities | Identification of user needs, co-creation, validation, and benefit evaluation. |
| Media | Knowledge dissemination, public education, and expansion of impact. |
International collaboration will be developed through comparative studies, co-authorship, data exchange conducted in accordance with ethical requirements, research consortia, and joint grant applications.
Annual quantitative targets will be established through the Research Group’s annual work plan, taking into account baseline member performance, available funding, and the targets of FEB UI.
The Chair of the Research Group coordinates the annual agenda, team formation, activity monitoring, output documentation, and performance evaluation. Each flagship program may have a coordinator or person in charge based on the expertise of the members.
Evaluation will be conducted at least annually by comparing plans and actual achievements across ecosystem development, publication, collaboration, funding, innovation, adoption, and impact indicators.
In accordance with Decree of the Dean of FEB UI Number SK-1292/UN2.F6.D/HKP.02.04/2025, the Research Group shall submit an annual report on activities and outputs to the Head of the Department of Management. The Head of Department shall subsequently report these achievements to the Vice Dean and the Faculty Manager responsible for research.
By the end of 2029, the Digital Service Marketing Research Group is expected to have:
Through this direction, the Research Group contributes to UI’s transformation from a producer of knowledge into an agent of economic development through research and innovation that generate scholarly, social, and economic value.
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Roadmap
