PapersFlow Research Brief
Health, Technology, Consumer Behavior
Research Guide
What is Health, Technology, Consumer Behavior?
Health, Technology, Consumer Behavior is a research cluster examining opportunities and challenges in digital healthcare services, with emphasis on e-commerce, customer satisfaction, technology acceptance, financial technology, mobile payment, service quality, marketing strategy, consumer behavior, and information technology across industries.
This field encompasses 16,720 works focused on digital healthcare services and related consumer dynamics. Key areas include technology acceptance in health contexts and consumer responses to innovations like food delivery apps during crises. Studies on financial literacy and marketing strategies provide foundational insights into user adoption of health technologies.
Topic Hierarchy
Research Sub-Topics
Technology Acceptance in Digital Health
Researchers apply models like TAM and UTAUT to study factors influencing patient and provider adoption of telemedicine, apps, and wearables. Studies analyze barriers such as trust, usability, and perceived usefulness in health tech uptake.
Consumer Behavior in Food Delivery Apps
This area investigates post-pandemic shifts in usage patterns, satisfaction drivers, and loyalty factors for mobile food delivery platforms. Researchers use surveys and structural equation modeling to predict continued app engagement.
Customer Satisfaction in Telemedicine
Studies measure satisfaction with virtual consultations through service quality dimensions like reliability, responsiveness, and empathy. Researchers explore links between satisfaction, retention, and health outcomes in remote care settings.
Mobile Payment Adoption in Healthcare
Researchers examine fintech integration for seamless payments in health apps, focusing on security perceptions, convenience, and behavioral intentions. Empirical work tests models in contexts like pharmacy and clinic transactions.
Service Quality in E-Health Platforms
This sub-topic assesses multidimensional service quality (e.g., tangibles, assurance) in online health portals and apps using SERVQUAL adaptations. Studies link quality perceptions to behavioral outcomes like e-commerce purchases of health products.
Why It Matters
Research in this area informs digital healthcare delivery by identifying factors that drive continued use of apps, such as during the 2019 novel coronavirus pandemic, where Zhao and Bação (2020) found specific determinants in food delivery app persistence applicable to health service platforms. Consumer behavior analyses, like those in "Perilaku konsumen: konsep dan implikasi untuk strategi dan penelitian pemasaran" by Setiadi (2003) with 645 citations, guide marketing strategies for e-health services, enhancing customer satisfaction and service quality. Financial literacy studies, such as "TINGKAT LITERASI KEUANGAN PADA MAHASISWA S-1 FAKULTAS EKONOMI" by Margaretha and Pambudhi (2015) surveying 584 students, support fintech integration in mobile health payments, enabling scalable consumer-facing health technologies.
Reading Guide
Where to Start
"Perilaku konsumen: konsep dan implikasi untuk strategi dan penelitian pemasaran" by Setiadi (2003) provides foundational concepts on consumer behavior applicable to health technology strategies, making it ideal for initial reading with its 645 citations.
Key Papers Explained
Setiadi (2003) in "Perilaku konsumen: konsep dan implikasi untuk strategi dan penelitian pemasaran" lays core concepts, extended by Suryani (2008) in "Perilaku Konsumen: Implikasi pada Strategi Pemasaran" to marketing applications and Priansa (2017) in "Perilaku Konsumen Dalam Persaingan Bisnis Kontemporer" to competitive business contexts. Zhao and Bação (2020) in "What factors determining customer continuingly using food delivery apps during 2019 novel coronavirus pandemic period?" applies these to technology acceptance during crises. Margaretha and Pambudhi (2015) in "TINGKAT LITERASI KEUANGAN PADA MAHASISWA S-1 FAKULTAS EKONOMI" connects financial literacy to fintech adoption.
Paper Timeline
Most-cited paper highlighted in red. Papers ordered chronologically.
Advanced Directions
No recent preprints or news available; frontiers remain in applying top-cited works like Zhao and Bação (2020) to post-pandemic health apps and extending Indonesian consumer models to global digital services.
Papers at a Glance
| # | Paper | Year | Venue | Citations | Open Access |
|---|---|---|---|---|---|
| 1 | A risk score to predict need for treatment for uppergastrointe... | 2000 | The Lancet | 1.1K | ✕ |
| 2 | Perilaku konsumen: konsep dan implikasi untuk strategi dan pen... | 2003 | — | 645 | ✕ |
| 3 | What factors determining customer continuingly using food deli... | 2020 | International Journal ... | 454 | ✓ |
| 4 | Foodborne Infections and Intoxications | 2021 | Elsevier eBooks | 349 | ✕ |
| 5 | Perilaku Konsumen Dalam Persaingan Bisnis Kontemporer | 2017 | — | 347 | ✕ |
| 6 | Perilaku Konsumen: Implikasi pada Strategi Pemasaran | 2008 | — | 241 | ✕ |
| 7 | Perilaku konsumen: perspektif kontemporer pada motif, tujuan, ... | 2010 | — | 219 | ✕ |
| 8 | TINGKAT LITERASI KEUANGAN PADA MAHASISWA S-1 FAKULTAS EKONOMI | 2015 | Jurnal Manajemen dan K... | 219 | ✓ |
| 9 | Problem drinkers: guided self-change treatment | 1995 | Journal of Substance A... | 214 | ✕ |
| 10 | Perilaku Konsumen:Dalam Perspektif Kewirausahaan | 2012 | — | 205 | ✕ |
Frequently Asked Questions
What determines continued use of food delivery apps during pandemics?
Zhao and Bação (2020) in "What factors determining customer continuingly using food delivery apps during 2019 novel coronavirus pandemic period?" identified key factors influencing sustained app usage. These findings, with 454 citations, extend to health app retention in crises. The study highlights technology acceptance and service quality as critical drivers.
How does financial literacy affect technology adoption in health contexts?
Margaretha and Pambudhi (2015) in "TINGKAT LITERASI KEUANGAN PADA MAHASISWA S-1 FAKULTAS EKONOMI" analyzed 584 questionnaires from economics students. Higher financial literacy correlates with better acceptance of financial technologies like mobile payments. This supports consumer behavior in digital health services.
What role does consumer behavior play in marketing health technologies?
Setiadi (2003) in "Perilaku konsumen: konsep dan implikasi untuk strategi dan penelitian pemasaran" (645 citations) outlines concepts for effective marketing strategies. Priansa (2017) in "Perilaku Konsumen Dalam Persaingan Bisnis Kontemporer" (347 citations) emphasizes understanding consumer dynamics for competitive health service businesses. These works inform e-commerce and service quality in healthcare.
Which papers define consumer behavior perspectives?
Setiadi (2010) in "Perilaku konsumen: perspektif kontemporer pada motif, tujuan, dan keinginan konsumen" (219 citations) covers consumer motives and desires. Suryani (2008) in "Perilaku Konsumen: Implikasi pada Strategi Pemasaran" (241 citations) links behavior to marketing strategies. Nitisusastro (2012) in "Perilaku Konsumen:Dalam Perspektif Kewirausahaan" (205 citations) views it from an entrepreneurial standpoint.
What is the current state of research volume?
The field includes 16,720 works on digital healthcare services and consumer behavior. Top papers like Blatchford et al. (2000) on risk scores have 1123 citations, indicating established impact. Growth data over 5 years is not available.
Open Research Questions
- ? How do pandemic-specific factors in app usage from Zhao and Bação (2020) generalize to non-crisis health technology adoption?
- ? What interventions improve financial literacy to boost mobile payment use in healthcare as suggested by Margaretha and Pambudhi (2015)?
- ? How can consumer motive models from Setiadi (2010) predict shifts in digital health service preferences?
- ? Which service quality metrics from Indonesian consumer behavior studies best apply to global e-health platforms?
Recent Trends
The field holds 16,720 works with no specified 5-year growth rate.
Citation leaders include Blatchford et al. at 1123 for clinical risk prediction and Setiadi (2003) at 645 for consumer concepts.
2000No recent preprints or news reported in the last 6-12 months.
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