Digital Payment Adoption of Local Retail Businesses in San Jose City

This study examined the digital payment practices of local retail businesses in San Jose City through strengths, weaknesses, opportunities, and threats (SWOT) analysis. A descriptive-quantitative research method was employed, gathering data from 40 local retail businesses in San Jose City. This study revealed a diverse landscape of local retail businesses in terms of the size of companies, types of products or services offered, number of years in operation, ownership structure, nature of the business, business model, accepted digital payment, and frequency of digital payment transactions per month. The study also looks at the benefits and difficulties that local retail businesses have experienced while using digital transactions. It focuses on the essential technologies behind this shift and how customer behavior changes due to the ease and security of digital payment options. Furthermore, digital payments displayed a commitment to adapting digital payment methods in local retail businesses, which can offer several positive aspects such as customer convenience, increased sales, and improved efficiency. However, cyber security threats, technical glitches, limiting purchasers, and delay notification are the identified challenges experienced by retail businesses. To address these challenges, improved customer understanding, increased awareness, and accessibility of digital payment systems were analyzed. Implementing these recommendations would empower the adaptation of digital payment of local retail businesses in San Jose City to manage the threats using digital payment systems.

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Publication Details

Journal
CGCI international journal of administration, management, education and technology (CGCI-IJAMET)
Published
2025-03-11
DOI
https://doi.org/10.70059/9cyd7815
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
0.00
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article

Digital Payment Adoption of Local Retail Businesses in San Jose City

John Paul Prado
CGCI international journal of administration, management, education and technology (CGCI-IJAMET)
Technology Adoption and User Behaviour
article

Digital Payment Adoption of Local Retail Businesses in San Jose City

John Paul Prado
article en

Abstract

This study examined the digital payment practices of local retail businesses in San Jose City through strengths, weaknesses, opportunities, and threats (SWOT) analysis. A descriptive-quantitative research method was employed, gathering data from 40 local retail businesses in San Jose City. This study revealed a diverse landscape of local retail businesses in terms of the size of companies, types of products or services offered, number of years in operation, ownership structure, nature of the business, business model, accepted digital payment, and frequency of digital payment transactions per month. The study also looks at the benefits and difficulties that local retail businesses have experienced while using digital transactions. It focuses on the essential technologies behind this shift and how customer behavior changes due to the ease and security of digital payment options. Furthermore, digital payments displayed a commitment to adapting digital payment methods in local retail businesses, which can offer several positive aspects such as customer convenience, increased sales, and improved efficiency. However, cyber security threats, technical glitches, limiting purchasers, and delay notification are the identified challenges experienced by retail businesses. To address these challenges, improved customer understanding, increased awareness, and accessibility of digital payment systems were analyzed. Implementing these recommendations would empower the adaptation of digital payment of local retail businesses in San Jose City to manage the threats using digital payment systems.

CGCI international journal of administration, management, education and technology (CGCI-IJAMET)Vol. 1(3)
San Jose City College (US)
Openalex Percentile: Top 95%
Technology Adoption and User Behaviour
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