Nothing Special   »   [go: up one dir, main page]

skip to main content
10.1145/3364335.3364374acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicibeConference Proceedingsconference-collections
research-article

The Effect of Nutrition Labelling on Purchasing Decisions: A Case Study of Lucky Me! Instant Noodles in Barangay 454 and 455 Manila, Philippines

Published: 27 September 2019 Publication History

Abstract

The nutrition label is an important part in informing consumers about the nutrition content of food products. This study utilized structural equation modeling to derive the causal relationship between "Nutrition Label", "Nutrition Fact", "Reason to Check", and "Purchasing Decision" simultaneously. A total of 100 questionnaires were collected from respondents in Barangay 454 and 455, Sampaloc, Manila, Philippines. The results indicated that "Nutrition Label" had significant effects on "Reason to Check" and "Purchasing Decision". In addition, "Reason to Check" also had a significant effect on "Purchasing Decision". Interestingly, female respondents and respondents with higher income had significant effects on "Reason to Check" which subsequently affect "Purchasing Decision". Our SEM results could provide valuable theoretical foundations to identify the interrelationship among "Nutrition Label", "Nutrition Fact", "Reason to Check", and "Purchasing Decision" particularly for nutrition researchers and food manufacturers.

References

[1]
Anon. Obesity and overweight. Retrieved July 4, 2019 from https://www.who.int/en/news-room/fact-sheets/detail/obesity-and-overweight
[2]
Gerry H. Tan. 2016. Diabetes Care in the Philippines. Annals of Global Health81, 6 (2016), 863.
[3]
Hawkes, Corinna & World Health Organization. Noncommunicable Diseases and Mental Health Cluster. (2004). Nutrition labels and health claims: the global regulatory environment / Corinna Hawkes. World HealthOrganization. https://apps.who.int/iris/handle/10665/42964
[4]
Klaus G. Grunert, Josephine M. Wills, and Laura Fernández-Celemín. 2010. Nutrition knowledge, and use and understanding of nutrition information on food labels among consumers in the UK. Appetite55, 2 (2010), 177--189.
[5]
Rodolfo M. Nayga. 1996. Determinants of Consumers Use of Nutritional Information on Food Packages. Journal of Agricultural and Applied Economics28, 2 (1996), 303--312.
[6]
Maria Kümpel Nørgaard and Karen Brunsø. 2009. Families' use of nutritional information on food labels. Food Quality and Preference20, 8 (2009), 597--606.
[7]
Hawkes, Corinna & World Health Organization. Noncommunicable Diseases and Mental Health Cluster. (2004). Nutrition labels and health claims: the global regulatory environment / Corinna Hawkes. World HealthOrganization. https://apps.who.int/iris/handle/10665/42964
[8]
Michael Gumaru. 8th National Nutrition Survey. Retrieved July 4, 2019 from https://www.fnri.dost.gov.ph/index.php/ nutrition-statistic/19-nutrition-statistic/118-8th-national-nutrition-survey
[9]
Mhurchu CN, Eyles H, Jiang Y, Blakely T. Do nutrition labels influence healthier food choices? Analysis of label viewing behaviour and subsequent food purchases in a labelling intervention trial. Appetite. 2018;121:360--365.
[10]
Gastón Ares et al.2018. Comparative performance of three interpretative front-of-pack nutrition labelling schemes: Insights for policy making. Food Quality and Preference68 (2018), 215--225.
[11]
Giuliana Tórtora, Leandro Machín, and Gastón Ares. 2019. Influence of nutritional warnings and other label features on consumers choice: Results from an eye-tracking study. Food Research International119 (2019), 605--611.
[12]
C. Perrin et al.2017. Range of processed foods available in France and nutrition labelling according to the type of brand. Journal of Food Composition and Analysis64 (2017), 156--162.
[13]
Leandro Machín, Jessica Aschemann-Witzel, María Rosa Curutchet, Ana Giménez, and Gastón Ares. 2018. Does front-of-pack nutrition information improve consumer ability to make healthful choices? Performance of warnings and the traffic light system in a simulated shopping experiment. Appetite121 (2018), 55--62.
[14]
Yeong Gug Kim and Eunju Woo. 2016. Consumer acceptance of a quick response (QR) code for the food traceability system: Application of an extended technology acceptance model (TAM). Food Research International85 (2016), 266--272.
[15]
Jan Mei Soon. 2019. Food allergen knowledge, attitude and practices among UK consumers: A structural modelling approach. Food Research International120 (2019), 375--381.
[16]
Joseph F. Hair, William C. Black, Barry J. Babin, and Rolph E. Anderson. 2014. Multivariate data analysis, Upper Saddle River, NJ: Prentice Hall.
[17]
Chiuhsiang Joe Lin, Yogi Tri Prasetyo, Nio Dolly Siswanto, and Bernard C. Jiang. 2019. Optimization of color design for military camouflage in CIELAB color space. Color Research & Application44, 3 (2019), 367--380.
[18]
Chiuhsiang Joe Lin, Yogi Tri Prasetyo, Retno Widyaningrum. 2018. Eye Movement Parameters for Performance Evaluation in Projection-based Stereoscopic Display. Journal of Eye Movement Research, 11(6):3.
[19]
Yogi Tri Prasetyo, Amalia Suzianti, and Ayesha Parvati Dewi. 2014. Consumer Preference Analysis on Flute Attributes in Indonesia using Conjoint Analysis. Proceedings of the International Conference on Advanced Design Research and Education (ICADRE14)(2014).
[20]
Chiuhsiang Joe Lin and Yogi Tri Prasetyo. 2019. A metaheuristic-based approach to optimizing color design for military camouflage using particle swarm optimization. Color Research & Application(2019).
[21]
Ma. Janice J. Gumasing and Rex Aurelius C. Robielos. 2018. Ergonomie intervention addressing musculoskeletal disorders among poultry layer workers. 2018 5th International Conference on Industrial Engineering and Applications (ICIEA)(2018).
[22]
M.F. Andrada, R.G.C. Abuan, and R.A. Gungon. 2018. Application of failure mode and effect analysis for medical technology processes in tertiary hospitals in Manila. (2018).
[23]
Chiuhsiang Joe Lin, Yogi Tri Prasetyo, and Retno Widyaningrum. 2019. Eye movement measures for predicting eye gaze accuracy and symptoms in 2D and 3D displays. Displays60 (2019), 1--8.
[24]
Bobby Ardiansyah Miraja, Satria Fadil Persada, Yogi Tri Prasetyo, Prawira Fajarindra Belgiawan, and A.a.n Perwira Redi. 2019. Applying Protection Motivation Theory To Understand Generation Z Students Intention To Comply With Educational Software Anti Piracy Law. International Journal of Emerging Technologies in Learning (iJET) 14, 18 (2019), 39.
[25]
Rianina D. Borres, John Ulric Lim, Rex Aurelius Robielos, and Marquin Jose Pacaña. 2018. Musculoskeletal Disorders Among Orthodontists: Risk Factors and Ergonomic Intervention. Advances in Intelligent Systems and Computing Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018)(2018), 709--733.

Cited By

View all
  • (2023)Factors Affecting Preventive Behaviors for Safety and Health at Work during the COVID-19 Pandemic among Thai Construction WorkersHealthcare10.3390/healthcare1103042611:3(426)Online publication date: 2-Feb-2023
  • (2022)Determining Factors Affecting Customer Loyalty to Internet Service Provider during the COVID-19 Pandemic: A Structural Equation Modeling Approach2022 Asia-Pacific Computer Technologies Conference (APCT)10.1109/APCT55107.2022.00009(21-31)Online publication date: Jan-2022
  • (2021)Factors Affecting Customer Satisfaction and Loyalty in Online Food Delivery Service during the COVID-19 Pandemic: Its Relation with Open InnovationJournal of Open Innovation: Technology, Market, and Complexity10.3390/joitmc70100767:1(76)Online publication date: Mar-2021
  • Show More Cited By

Index Terms

  1. The Effect of Nutrition Labelling on Purchasing Decisions: A Case Study of Lucky Me! Instant Noodles in Barangay 454 and 455 Manila, Philippines

    Recommendations

    Comments

    Please enable JavaScript to view thecomments powered by Disqus.

    Information & Contributors

    Information

    Published In

    cover image ACM Other conferences
    ICIBE '19: Proceedings of the 5th International Conference on Industrial and Business Engineering
    September 2019
    398 pages
    ISBN:9781450376532
    DOI:10.1145/3364335
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

    In-Cooperation

    • The Hong Kong Polytechnic: The Hong Kong Polytechnic University

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 27 September 2019

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. Nutrition labelling
    2. nutrition declaration
    3. purchasing decision
    4. structural equation modeling

    Qualifiers

    • Research-article
    • Research
    • Refereed limited

    Conference

    ICIBE 2019

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)12
    • Downloads (Last 6 weeks)1
    Reflects downloads up to 21 Nov 2024

    Other Metrics

    Citations

    Cited By

    View all
    • (2023)Factors Affecting Preventive Behaviors for Safety and Health at Work during the COVID-19 Pandemic among Thai Construction WorkersHealthcare10.3390/healthcare1103042611:3(426)Online publication date: 2-Feb-2023
    • (2022)Determining Factors Affecting Customer Loyalty to Internet Service Provider during the COVID-19 Pandemic: A Structural Equation Modeling Approach2022 Asia-Pacific Computer Technologies Conference (APCT)10.1109/APCT55107.2022.00009(21-31)Online publication date: Jan-2022
    • (2021)Factors Affecting Customer Satisfaction and Loyalty in Online Food Delivery Service during the COVID-19 Pandemic: Its Relation with Open InnovationJournal of Open Innovation: Technology, Market, and Complexity10.3390/joitmc70100767:1(76)Online publication date: Mar-2021
    • (2020)Roller Chains Quality Enhancement using Six Sigma and Failure Mode and Effects Analysis (FMEA)Proceedings of the 2020 2nd International Conference on Management Science and Industrial Engineering10.1145/3396743.3396780(219-224)Online publication date: 7-Apr-2020
    • (2020)Factors Affecting Fine DexterityProceedings of the 2020 2nd International Conference on Management Science and Industrial Engineering10.1145/3396743.3396776(304-308)Online publication date: 7-Apr-2020
    • (2020)The Effect of Gender, Hand Anthropometry, Hand Dominance, and High School Grade on Hand Grip Strength in Filipino Teenagers Aged 15-18: A Structural Equation Modeling Approach2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)10.1109/IEEM45057.2020.9309861(480-484)Online publication date: 14-Dec-2020
    • (2020)Factors Affecting Gross Manual Dexterity: A Structural Equation Modeling Approach2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)10.1109/ICIEA49774.2020.9102096(425-429)Online publication date: Apr-2020
    • (2020)Standardizing Human Factors and Ergonomics Education for the Undergraduate Programs in Industrial Engineering: A Comparative Analysis between Indonesia, Philippines, and Taiwan2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)10.1109/ICIEA49774.2020.9101950(311-315)Online publication date: Apr-2020
    • (2020)An Application of Overall Equipment Effectiveness (OEE) for Minimizing the Bottleneck Process in Semiconductor Industry2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)10.1109/ICIEA49774.2020.9101925(345-349)Online publication date: Apr-2020
    • (2020)Factors affecting perceived effectiveness of COVID-19 prevention measures among Filipinos during Enhanced Community Quarantine in Luzon, Philippines: Integrating Protection Motivation Theory and extended Theory of Planned BehaviorInternational Journal of Infectious Diseases10.1016/j.ijid.2020.07.07499(312-323)Online publication date: Oct-2020
    • Show More Cited By

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media