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Factors for perceived trust in mobile applications
2019 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Mobile commerce can be seen as the phenomenon, which is likely to take over e-commerce since purchasing online is increasing on mobile applications (Parameswari, 2015). The problem this study addresses is the uncertainty that may follow when purchasing online via mobile applications. The purpose of this study is to investigate some human and technology factors for perceived trust in mobile applications. Human factors are defined as the same thing as user factors throughout this thesis.

 

This will answer the research question: What are the most important user and technology factors for perceived trust in mobile applications? The study is limited to two main areas (human and technology factors) that have been broken down into three subgroups based on perceived trust. These subgroups are: informative context for decision-making, ease of use and payment methods.

 

To gather data, an online self-completion questionnaire was conducted and was sent out to different social groups on Facebook. The participated segmentation resulted in needing to be modified according to uneven response rates in the different age groups. The target group went from the whole Swedish population to only people in the ages span of 16-32. The collected data was processed in the analysis program SPSS to find relations among the variables.

 

All the chosen factors resulted in being of great importance for users to perceived trust in mobile applications and to increase the interactivity between human and machine. However, only payment methods showed a significant value in relation to perceived trust. This result will be useful to companies when developing mobile applications to keep customers and increase sales.

Place, publisher, year, edition, pages
2019.
Keywords [en]
Perceived trust, m-commerce, mobile application, human factors, technology factor, payment method, informative context for decision-making, ease of use, human-machine interface.
National Category
Information Systems
Identifiers
URN: urn:nbn:se:hb:diva-21037OAI: oai:DiVA.org:hb-21037DiVA, id: diva2:1316865
Subject / course
Informatics
Available from: 2019-05-28 Created: 2019-05-21 Last updated: 2019-05-28Bibliographically approved

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Information Systems

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf