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  1. NTU Theses and Dissertations Repository
  2. 管理學院
  3. 管理學院企業管理專班(Global MBA)
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/94471
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dc.contributor.advisor謝源弘zh_TW
dc.contributor.advisorYuan Horng Hsiehen
dc.contributor.author許庭碩zh_TW
dc.contributor.authorTing-Shuo Hsuen
dc.date.accessioned2024-08-16T16:14:27Z-
dc.date.available2024-08-31-
dc.date.copyright2024-08-16-
dc.date.issued2024-
dc.date.submitted2024-08-01-
dc.identifier.citationReferences:
Aflague, T. F., Boushey, C. J., Leon Guerrero, R. T., Ahmad, Z., Kerr, D. A., & Delp, E. J. (2015). Feasibility and use of the mobile food record for capturing eating occasions among children ages 3–10 years in Guam. Nutrients, 7(6), 4403-4415
Bingham, S. A. (2003). Urine nitrogen as a biomarker for the validation of dietary protein intake. The Journal of nutrition, 133(3), 921S-924S.
Boushey, C. J., Spoden, M., Zhu, F. M., Delp, E. J., & Kerr, D. A. (2017). New mobile methods for dietary assessment: review of image-assisted and image-based dietary assessment methods. Proceedings of the Nutrition Society, 76(3), 283-294.
Cade, J., Thompson, R., Burley, V., & Warm, D. (2002). Development, validation and utilisation of food-frequency questionnaires–a review. Public health nutrition, 5(4), 567-587.
Chan, V. W. K., Zhou, J. H. S., Li, L., Tse, M. T. H., You, J. J., Wong, M. S., ... & Lo, K. K. H. (2024). Reproducibility and Relative Validity of a Short Food Frequency Questionnaire for Chinese Older Adults in Hong Kong. Nutrients, 16(8), 1132.
Das, S. K., Miki, A. J., Blanchard, C. M., Sazonov, E., Gilhooly, C. H., Dey, S., ... & Shook, R. P. (2022). Perspective: opportunities and challenges of technology tools in dietary and activity assessment: bridging stakeholder viewpoints. Advances in Nutrition, 13(1), 1-15.
Eldridge, A., Cade, J., Gibney, M., Gurinovic, M., Illner, A. K., Piernas, C., ... & de Vries, J. (2017). Evaluation of new technology-based tools for dietary intake assessment. Annals of Nutrition and Metabolism, 71(Suppl 2).
Fallaize, R., Forster, H., Macready, A. L., Walsh, M. C., Mathers, J. C., Brennan, L., ... & Lovegrove, J. A. (2014). Online dietary intake estimation: reproducibility and validity of the Food4Me food frequency questionnaire against a 4-day weighed food record. Journal of medical Internet research, 16(8), e190.
Freeland-Graves, J., & Nitzke, S. (2002). Position of the American Dietetic Association: total diet approach to communicating food and nutrition information. Journal of the American Dietetic Association, 102(1), 100-108.
Fuchs, K. L. (2020). Empowering Diet-Related Health Behavior Change Interventions via Digital Receipts and Food Composition Databases (Doctoral dissertation, ETH Zurich).
Huang, Y. C., Lee, M. S., Pan, W. H., & Wahlqvist, M. L. (2011). Validation of a simplified food frequency questionnaire as used in the Nutrition and Health Survey in Taiwan (NAHSIT) for the elderly. Asia Pacific journal of clinical nutrition, 20(1), 134-140.
Hung, Y. T., Chen, P. F., Huang, L. H., & Cheng, S. Y. (2019). Career development and work settings of dietitians in Taiwan. Nutrition and Health, 25(1), 37-44.
Illner, A. K., Freisling, H., Boeing, H., Huybrechts, I., Crispim, S. P., & Slimani, N. (2012). Review and evaluation of innovative technologies for measuring diet in nutritional epidemiology. International journal of epidemiology, 41(4), 1187-1203.
Kristal, A. R., Peters, U., & Potter, J. D. (2005). Is it time to abandon the food frequency questionnaire?. Cancer Epidemiology Biomarkers & Prevention, 14(12), 2826-2828.
Lai, I. J., Liao, L. L., Hsieh, L. C., & Lee, C. H. (2014). Work stress, job satisfaction, burnout, and turnover intentions of dietitians in Taiwan: description and relationship. Taiwan Gong Gong Wei Sheng Za Zhi, 33(6), 609.
Lee, P. C., Kao, F. Y., Liang, F. W., Lee, Y. C., Li, S. T., & Lu, T. H. (2021). Existing Data Sources in Clinical Epidemiology: The Taiwan National Health Insurance Laboratory Databases. Clinical epidemiology, 13, 175–181.
Liberty, J. T., Sun, S., Kucha, C., Adedeji, A. A., Agidi, G., & Ngadi, M. O. (2023). Augmented reality for food quality assessment: Bridging the physical and digital worlds. Journal of Food Engineering, 111893.
Lo, Y. L., Hsieh, Y. T., Hsu, L. L., Chuang, S. Y., Chang, H. Y., Hsu, C. C., ... & Pan, W. H. (2017). Dietary pattern associated with frailty: results from nutrition and health survey in Taiwan. Journal of the American Geriatrics Society, 65(9), 2009-2015.
Maringer, M., van’t Veer, P., Klepacz, N., Verain, M. C., Normann, A., Ekman, S., ... & Geelen, A. (2018). User-documented food consumption data from publicly available apps: An analysis of opportunities and challenges for nutrition research. Nutrition Journal, 17, 1-13.
National Health Insurance Administration, Ministry of Health and Welfare, Taiwan. (2020). 2020-2021 Handbook of Taiwan's National Health Insurance. https://www.nhi.gov.tw
National Health Insurance Administration. (n.d.). Pay-for-Performance (P4P) Program. https://www.nhi.gov.tw/english/Content_List.aspx?n=C2C5F3F2C6F8B8C9&topn=0AEAFF4FEFB0E4D1
Ng, M., Fleming, T., Robinson, M., Thomson, B., Graetz, N., Margono, C., ... & Gakidou, E. (2014). Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: a systematic analysis for the Global Burden of Disease Study 2013. The lancet, 384(9945), 766-781.
Ortega, R. M., Pérez-Rodrigo, C., & López-Sobaler, A. M. (2015). Dietary assessment methods: dietary records. Nutricion hospitalaria, 31(3), 38-45.
Poslusna, K., Ruprich, J., de Vries, J. H., Jakubikova, M., & van't Veer, P. (2009). Misreporting of energy and micronutrient intake estimated by food records and 24 hour recalls, control and adjustment methods in practice. British Journal of Nutrition, 101(S2), S73-S85.
Rollo, M. E., Ash, S., Lyons-Wall, P., & Russell, A. W. (2015). Evaluation of a mobile phone image-based dietary assessment method in adults with type 2 diabetes. Nutrients, 7(6), 4897-4910.
Rollo, M. E., Williams, R. L., Burrows, T., Kirkpatrick, S. I., Bucher, T., & Collins, C. E. (2016). What are they really eating? A review on new approaches to dietary intake assessment and validation. Current nutrition reports, 5, 307-314.
Satija, A., Hu, F. B., Bowen, L., Bharathi, A. V., Vaz, M., Prabhakaran, D., ... & Ebrahim, S. (2015). Dietary patterns in India and their association with obesity and central obesity. Public health nutrition, 18(16), 3031-3041.
Schoeller, D. A. (1988). Measurement of energy expenditure in free-living humans by using doubly labeled water. The Journal of nutrition, 118(11), 1278-1289.
Shim, J. S., Oh, K., & Kim, H. C. (2014). Dietary assessment methods in epidemiologic studies. Epidemiology and health, 36.
Slater, K., Rollo, M. E., Szewczyk, Z., Ashton, L., Schumacher, T., & Collins, C. (2020). Do the dietary intakes of pregnant women attending public hospital antenatal clinics align with Australian guide to healthy eating recommendations?. Nutrients, 12(8), 2438.
Stumbo, P. J. (2013). New technology in dietary assessment: a review of digital methods in improving food record accuracy. Proceedings of the Nutrition Society, 72(1), 70-76.
Subar, A. F., Freedman, L. S., Tooze, J. A., Kirkpatrick, S. I., Boushey, C., Neuhouser, M. L., ... & Krebs-Smith, S. M. (2015). Addressing current criticism regarding the value of self-report dietary data. The Journal of nutrition, 145(12), 2639-2645.
Subar, A. F., Thompson, F. E., Smith, A. F., Jobe, J. B., Ziegler, R. G., Potischman, N., ... & Harlan, L. C. (1995). Improving food frequency questionnaires: a qualitative approach using cognitive interviewing. Journal of the American Dietetic Association, 95(7), 781-788.
Taipei Times. (2021, October 13). Obesity rate in Taiwan rises to 25.5%. Taipei Times. Retrieved from https://www.taipeitimes.com/News/taiwan/archives/2021/10/13/2003765891
Taipei Times. (2022, June 4). Nearly 51% of Taiwanese overweight or obese. Taipei Times. Retrieved from https://www.taipeitimes.com/News/taiwan/archives/2022/06/04/2003779015
Thompson, F. E., & Subar, A. F. (2017). Dietary assessment methodology. Nutrition in the Prevention and Treatment of Disease, 5-48.
Thompson, F. E., Kirkpatrick, S. I., Subar, A. F., Reedy, J., Schap, T. E., Wilson, M. M., & Krebs-Smith, S. M. (2015). The National Cancer Institute’s dietary assessment primer: a resource for diet research. Journal of the Academy of Nutrition and Dietetics, 115(12), 1986-1995.
Timon, C. M., van den Barg, R., Blain, R. J., Kehoe, L., Evans, K., Walton, J., ... & Gibney, E. R. (2016). A review of the design and validation of web-and computer-based 24-h dietary recall tools. Nutrition research reviews, 29(2), 268-280.
TVBS News. (2023, January 10). One in five adults in Taiwan is pre-diabetic. TVBS News. Retrieved from https://news.tvbs.com.tw/life/1870180
Weech, M., Fallaize, R., Kelly, E., Hwang, F., Franco, R. Z., & Lovegrove, J. A. (2023). Nutrition and weight loss apps. In Smartphone Apps for Health and Wellness (pp. 93-115). Academic Press.
Whitton, C., Ho, J. C. Y., Tay, Z., Rebello, S. A., Lu, Y., Ong, C. N., & Van Dam, R. M. (2017). Relative validity and reproducibility of a food frequency questionnaire for assessing dietary intakes in a multi-ethnic Asian population using 24-h dietary recalls and biomarkers. Nutrients, 9(10), 1059.
Willett, W. C., & Sampson, L. A. U. R. A. (2013). Foods and nutrients. Nutritional epidemiology, 34-49.
Zhu, F., Bosch, M., Khanna, N., Boushey, C. J., & Delp, E. J. (2014). Multiple hypotheses image segmentation and classification with application to dietary assessment. IEEE journal of biomedical and health informatics, 19(1), 377-388.
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/94471-
dc.description.abstract無zh_TW
dc.description.abstractAromaWheatLand Inc. (AWL) has introduced its Digital Nutritional Assessment Platform to revolutionize dietetic practices in Taiwan's healthcare system. To validate market need and refine the platform, AWL conducted a comprehensive research survey targeting dietitians. The survey, designed with expert input, uncovered challenges, needs, and existing practices in assessing patient dietary and nutritional status. It provided crucial insights into current methodologies, time allocations, and dietitians' perceptions of existing tools, while gauging openness to innovative solutions like AWL's integrated Food Frequency Questionnaire (FFQ) platform. The findings quantitatively assessed market demand for a comprehensive health profiling tool that can efficiently evaluate patients' nutritional status, aligning with Taiwan's evolving healthcare landscape. Results affirmed strong demand for improved assessment tools and highlighted dietitians' readiness for transformative solutions. These insights support the refinement and commercialization of AWL's platform. By addressing identified gaps in existing practices and validating the need for efficient assessment tools, AWL demonstrates its commitment to enhancing patient care quality, improving operational efficiency, and leading a paradigm shift in healthcare delivery. The platform's integration of FFQs with advanced data analytics promises to streamline nutritional assessments, potentially revolutionizing dietetic practices in Taiwan's healthcare system.en
dc.description.provenanceSubmitted by admin ntu (admin@lib.ntu.edu.tw) on 2024-08-16T16:14:27Z
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dc.description.provenanceMade available in DSpace on 2024-08-16T16:14:27Z (GMT). No. of bitstreams: 0en
dc.description.tableofcontentsTable of Contents
Acknowledgement i
Executive Summary ii
1. Introduction/Company Overview 1
1.1 Description of Motivation 1
1.1.1 Taiwan’s Healthcare Outlook 1
1.1.2 History and development of Food Frequency Questionnaire 1
1.1.3 Positive Benefit Of Digitization Of FFQ To The Healthcare Sector 2
1.1.4 Vision and Prospects 4
1.3 Objectives 5
2. Literature Review 6
2.1 Current Limitations and Challenges in Digital FFQs 6
2.1.1 User Experience and Usability Considerations 6
2.1.2 Cultural Adaptability and Dietary Pattern Variations 6
2.1.3 Integration with Other Data Sources and Health Records 7
2.1.4 Data Privacy, Security, and Ethical Considerations 7
2.1.5 Comprehensive Food Composition Databases and Portion Size Estimation 8
2.1.6 Validation and Standardization Efforts 8
3. Research Survey 10
3.1 Survey Design 10
3.2 Population and sampling 10
3.3 Descriptive data on respondents 11
3.4 Survey collection and storage 12
4. Market Analysis 14
4.1 Growing Interest In Digitizing Health Diagnostic Platform 14
4.2 The Current Trend In Health Diagnostics And Screening 15
4.3 Industry Analysis (Porter’s Five Forces Analysis) 18
4.3.1 The Threat of Entrants: Moderate Risk 19
4.3.2 Bargaining Power of Suppliers: Low Risk 20
4.3.3 Bargaining Power of Buyers: Low Risk 20
4.3.4 Threat of Substitutes: Moderate Risk 20
4.3.5 Rivalry Among Existing Competitors: Low Risk 21
5. Company Analysis 23
5.1 SWOT Analysis 23
5.1.1 Strengths: 23
5.1.2 Weaknesses: 24
5.1.3 Opportunities: 24
5.1.4 Threats (Market Competitors): 25
5.2 The Business Model Canvas (BMC) 25
6. Operational Strategy 27
6.1 Key Activities and Resources 27
6.1.1 Platform Development and Maintenance 27
6.1.2 Data Management and Analysis 28
6.2 Partnerships and Collaborations 28
6.3 Financial Model Overview 29
6.3.1 Revenue Streams 29
6.3.2 Cost Structure 29
7. Market Strategy 31
7.1 Market Overview 31
7.1.1 Taiwanese Healthcare Utilization Trends 31
7.1.2 Digital FFQ Demand Among Dietitians 35
7.2 Target Market Segments 37
7.3 Pricing Strategy 43
7.4 Marketing and Promotion, and Channels 44
8. Financial Analysis and Projection 46
8.1 Market size, demand estimation, and key assumptions 46
8.2 Initial Cost of the Project 48
8.3 Income Statement 49
8.4 Balance Sheet 51
8.5 Statement of Cash Flow 53
9. Overview Of The Design And Implementation and future expansion 56
10. Conclusion 60
References: 61
Appendix A: Research Survey 68
Appendix B: Research Survey Results 78
Appendix C: Questionnaire Expert Validity 86
Appendix D: FFQ Sample Questions 96
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dc.language.isoen-
dc.title數位營養評估平台改善臺灣飲食行為並革新商業計畫書zh_TW
dc.titleBusiness plan for promoting a Digital Nutritional Assessment Platform to Transform Dietetic Practice and Patient Care in Taiwanen
dc.typeThesis-
dc.date.schoolyear112-2-
dc.description.degree碩士-
dc.contributor.coadvisor許文馨zh_TW
dc.contributor.coadvisorWen-Hsin Hsuen
dc.contributor.oralexamcommittee堯里昂;劉心才zh_TW
dc.contributor.oralexamcommitteeLeon van Jaarsveldt;Hsin-Tsai Liuen
dc.subject.keyword無,zh_TW
dc.subject.keywordDigital Nutrional Assessment,Food Frequency Questionnaire (FFQ),Dietetic Practice,Patient Care,Taiwan Healthcare System,Prediabetes,Obesity,Dietary Assessment,Nutritional Analysis,Healthcare Efficiency,Dietitian Workload,Digital Health Technology,en
dc.relation.page96-
dc.identifier.doi10.6342/NTU202402690-
dc.rights.note同意授權(限校園內公開)-
dc.date.accepted2024-08-05-
dc.contributor.author-college管理學院-
dc.contributor.author-dept企業管理碩士專班-
dc.date.embargo-lift2024-08-14-
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