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Mobile Technology Acceptance Model: An Empirical Study on Users’ Acceptance and Usage of Mobile Technology for Knowledge Providing

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Information Systems (EMCIS 2018)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 341))

Abstract

In this study we applied the technology acceptance model (TAM) to explain users’ acceptance of mobile technology as a medium of knowledge providing. We adjusted the TAM by adding three new constructs: Access to Information, Information Quality, and Information Navigation. The model was tested on a population of 303 respondents using structural equation modeling (SEM). Our findings indicated that information quality and information navigation influence the perceived ease of use and, as a result, perceived usefulness of mobile technology usage that has an impact on the behavioral intention of use and the actual use of these devices. The developed model might comprise the basis for further research in the area of mobile technology usage for knowledge providing.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Cracow University of Economics, Rakowicka 27, 31-510, Kraków, Poland

    Janusz Stal & Grażyna Paliwoda-Pękosz

Authors
  1. Janusz Stal
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  2. Grażyna Paliwoda-Pękosz
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Corresponding author

Correspondence to Janusz Stal .

Editor information

Editors and Affiliations

  1. University of Nicosia, Nicosia, Cyprus

    Marinos Themistocleous

  2. University of Coimbra, Coimbra, Portugal

    Paulo Rupino da Cunha

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Funding

This research has been financed by the funds granted to the Faculty of Management, Cracow University of Economics, Poland, within the subsidy for maintaining research potential.

Appendix

Appendix

Measurement items in the Survey Questionnaire

Constructs (latent variables)

Measurement items

Questions

Access to Information (AI)

AI1

In my opinion, the speed of mobile Internet is satisfactory

AI2

In my opinion, the availability of mobile Internet is satisfactory

AI3

In my opinion, the access cost to the mobile Internet is satisfactory

Information Quality (IQ)

IQ1

I think that content intended for smartphones is optimized for their correct display

IQ2

I think that content displayed on smartphones is tailored to the expectations of a mobile user

IQ3

I think that it is possible to effectively present any type of content on a smartphone

Perceived Ease of Use (PEOU)

PEOU1

I think that it’s easy to use a smartphone

PEOU2

I think it would be easy for me to use a smartphone to get information

PEOU3

In general, I think that using a smartphone to get information would be easy

Information Navigation (IN)

IN1

I think that small dimensions of a smartphone do not constitute an obstacle to effective navigation of the displayed information

IN2

I think that the lack of a traditional keyboard or mouse is not an obstacle to effective navigation of the presented information

IN3

In general, I think that the technical parameters of a smartphone should not be an obstacle to getting acquainted with the presented content

Perceived Usefulness (PU)

PU1

I believe that using a smartphone to obtain information can speed up the implementation of tasks

PU2

I believe that using a smartphone to obtain information can improve my work efficiency

PU3

In general, I think that using a smartphone to get information can be useful in my work

Behavioral Intention (BI)

BI1

I intend to use a smartphone to retrieve information in the future

BI2

I intend to use a smartphone to get information as often as possible

BI3

I intend to use a smartphone to obtain information to support my work

Actual Use (AU)

AU1

I used a smartphone to get information during the last week

AU2

I used a smartphone to get information during the last month

AU3

In general, I use a smartphone to get information

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Stal, J., Paliwoda-Pękosz, G. (2019). Mobile Technology Acceptance Model: An Empirical Study on Users’ Acceptance and Usage of Mobile Technology for Knowledge Providing. In: Themistocleous, M., Rupino da Cunha, P. (eds) Information Systems. EMCIS 2018. Lecture Notes in Business Information Processing, vol 341. Springer, Cham. https://doi.org/10.1007/978-3-030-11395-7_42

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  • DOI: https://doi.org/10.1007/978-3-030-11395-7_42

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