IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v14y2022i11p303-d952712.html
   My bibliography  Save this article

Analysis of Data from Surveys for the Identification of the Factors That Influence the Migration of Small Companies to eCommerce

Author

Listed:
  • William Villegas-Ch.

    (Escuela de Ingeniería en Tecnologías de la Información, FICA, Universidad de Las Américas, Quito 170125, Ecuador
    Facultad de Tecnologías de Información, Universidad Latina de Costa Rica, San José 70201, Costa Rica)

  • Santiago Criollo-C

    (Escuela de Ingeniería en Tecnologías de la Información, FICA, Universidad de Las Américas, Quito 170125, Ecuador)

  • Walter Gaibor-Naranjo

    (Carrera de Ciencias de la Computación, Universidad Politécnica Salesiana, Quito 170105, Ecuador)

  • Xavier Palacios-Pacheco

    (Departamento de Sistemas, Universidad Internacional del Ecuador, Quito 170411, Ecuador)

Abstract

Currently, medium and small businesses face a significant change in the way consumers purchase their services, products, or goods. This change is fundamentally due to the pandemic caused by the 2019 coronavirus disease, during which people were forced to use information and communication technologies to satisfy their needs and interact with other people. After the pandemic, people’s dependence on technology increased exponentially, to such an extent that the Internet has become the channel through which any product can be purchased in an agile and varied way, from the comfort of home, and regardless of schedules. Therefore, for companies, moving from the traditional market to eCommerce is a necessity, but the change must take place efficiently. Therefore, identifying the factors that influence consumers to access a brand, a service, or a product is a characteristic of eCommerce. This paper presents an analysis of the factors that influence the use of electronic commerce. For this, a review of similar works was carried out for the design of surveys and the identification of the critical points considered by consumers. These data were analyzed in a granular way with tools used in business intelligence to improve decision making in the migration to a digital market.

Suggested Citation

  • William Villegas-Ch. & Santiago Criollo-C & Walter Gaibor-Naranjo & Xavier Palacios-Pacheco, 2022. "Analysis of Data from Surveys for the Identification of the Factors That Influence the Migration of Small Companies to eCommerce," Future Internet, MDPI, vol. 14(11), pages 1-22, October.
    • Handle: RePEc:gam:jftint:v:14:y:2022:i:11:p:303-:d:952712
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/14/11/303/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1999-5903/14/11/303/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Garín-Muñoz, Teresa & López, Rafael & Pérez-Amaral, Teodosio & Herguera, Iñigo & Valarezo, Angel, 2019. "Models for individual adoption of eCommerce, eBanking and eGovernment in Spain," Telecommunications Policy, Elsevier, vol. 43(1), pages 100-111.
    2. William Villegas-Ch & Xavier Palacios-Pacheco & Sergio Luján-Mora, 2019. "Application of a Smart City Model to a Traditional University Campus with a Big Data Architecture: A Sustainable Smart Campus," Sustainability, MDPI, vol. 11(10), pages 1-28, May.
    3. Agatz, Niels A.H. & Fleischmann, Moritz & van Nunen, Jo A.E.E., 2008. "E-fulfillment and multi-channel distribution - A review," European Journal of Operational Research, Elsevier, vol. 187(2), pages 339-356, June.
    4. William Villegas-Ch & Jhoann Molina-Enriquez & Carlos Chicaiza-Tamayo & Iván Ortiz-Garcés & Sergio Luján-Mora, 2019. "Application of a Big Data Framework for Data Monitoring on a Smart Campus," Sustainability, MDPI, vol. 11(20), pages 1-15, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ana Maria Mihaela Iordache & Alexandru Ionescu & Vlad Gabriel Cârstea & Hanna Chung & Nicoleta Rossela Dumitru & Bogdan Glăvan, 2023. "Scenarios to Improve E-Commerce SMEs Activity Based on Their Classification: A Case Study on Romania," Sustainability, MDPI, vol. 15(15), pages 1-19, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. William Villegas-Ch & Adrián Arias-Navarrete & Xavier Palacios-Pacheco, 2020. "Proposal of an Architecture for the Integration of a Chatbot with Artificial Intelligence in a Smart Campus for the Improvement of Learning," Sustainability, MDPI, vol. 12(4), pages 1-20, February.
    2. William Villegas-Ch. & Milton Roman-Cañizares & Santiago Sánchez-Viteri & Joselin García-Ortiz & Walter Gaibor-Naranjo, 2021. "Analysis of the State of Learning in University Students with the Use of a Hadoop Framework," Future Internet, MDPI, vol. 13(6), pages 1-25, May.
    3. William Villegas-Ch & Xavier Palacios-Pacheco & Milton Román-Cañizares, 2020. "Integration of IoT and Blockchain to in the Processes of a University Campus," Sustainability, MDPI, vol. 12(12), pages 1-21, June.
    4. Kumar, V. & Sunder, Sarang & Sharma, Amalesh, 2015. "Leveraging Distribution to Maximize Firm Performance in Emerging Markets," Journal of Retailing, Elsevier, vol. 91(4), pages 627-643.
    5. Nekoiemehr, Nooshin & Zhang, Guoqing & Selvarajah, Esaignani, 2019. "Due date quotation in a dual-channel supply chain," International Journal of Production Economics, Elsevier, vol. 215(C), pages 102-111.
    6. Alawneh, Fawzat & Zhang, Guoqing, 2018. "Dual-channel warehouse and inventory management with stochastic demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 112(C), pages 84-106.
    7. Zhou, Wei & Zhang, Keang & Zhang, Ying & Duan, Yunlong, 2021. "Operation strategies with respect to insurance subsidy optimization for online retailers dealing with large items," International Journal of Production Economics, Elsevier, vol. 232(C).
    8. Jonek-Kowalska, Izabela & Musioł-Urbańczyk, Anna & Podgórska, Marzena & Wolny, Maciej, 2021. "Does motivation matter in evaluation of research institutions? Evidence from Polish public universities," Technology in Society, Elsevier, vol. 67(C).
    9. Qin, Xuelian & Liu, Zhixue & Tian, Lin, 2021. "The optimal combination between selling mode and logistics service strategy in an e-commerce market," European Journal of Operational Research, Elsevier, vol. 289(2), pages 639-651.
    10. Ángel Valarezo & Rafael López & Teodosio Pérez-Amaral, 2019. "Adoption of e-commerce by individuals and digital divide: Evidence from Spain," Documentos de Trabajo del ICAE 2019-19, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    11. López, Rafael & Valarezo, Ángel & Pérez-Amaral, Teodosio, 2023. "Unleashing the potential of online learning in Spain: An econometric analysis," Telecommunications Policy, Elsevier, vol. 47(6).
    12. Changkyu Park, 2017. "A Partial Backordering Inventory Model with a Drop-Shipping Option Under Purchase Dependence," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 34(04), pages 1-20, August.
    13. Baozhuang Niu & Jingmai Wang & Carman K. M. Lee & Lei Chen, 2019. "“Product + logistics” bundling sale and co-delivery in cross-border e-commerce," Electronic Commerce Research, Springer, vol. 19(4), pages 915-941, December.
    14. Mohammed Alnahhal†& Omar Antar & Ahmad Sakhrieh & Muataz Al Hazza, 2024. "Analyzing Energy Consumption in Universities: A Literature Review," International Journal of Energy Economics and Policy, Econjournals, vol. 14(3), pages 18-27, May.
    15. Yan, Yingchen & Zhao, Ruiqing & Liu, Zhibing, 2018. "Strategic introduction of the marketplace channel under spillovers from online to offline sales," European Journal of Operational Research, Elsevier, vol. 267(1), pages 65-77.
    16. Koch, Sebastian & Klein, Robert, 2020. "Route-based approximate dynamic programming for dynamic pricing in attended home delivery," European Journal of Operational Research, Elsevier, vol. 287(2), pages 633-652.
    17. Marco Melacini & Elena Tappia, 2018. "A Critical Comparison of Alternative Distribution Configurations in Omni-Channel Retailing in Terms of Cost and Greenhouse Gas Emissions," Sustainability, MDPI, vol. 10(2), pages 1-15, January.
    18. Stefanus Jasin & Amitabh Sinha, 2015. "An LP-Based Correlated Rounding Scheme for Multi-Item Ecommerce Order Fulfillment," Operations Research, INFORMS, vol. 63(6), pages 1336-1351, December.
    19. Yanzhe (Murray) Lei & Stefanus Jasin & Amitabh Sinha, 2018. "Joint Dynamic Pricing and Order Fulfillment for E-commerce Retailers," Manufacturing & Service Operations Management, INFORMS, vol. 20(2), pages 269-284, May.
    20. Saghiri, Soroosh & Wilding, Richard & Mena, Carlos & Bourlakis, Michael, 2017. "Toward a three-dimensional framework for omni-channel," Journal of Business Research, Elsevier, vol. 77(C), pages 53-67.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jftint:v:14:y:2022:i:11:p:303-:d:952712. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.