Exploring Uber Taxi Application Using the Technology Acceptance Model

Round 1

Reviewer 1 Report

Suggested: Minor Revision for the observations given below   Observation 1 The count of valid responses as given in each set of demographic information (Table 2) is 412. However, it is mentioned as 421 in (a) the abstract of the paper, and (b) the header of Table 2. The authors are advised to remove this inconsistency.   Observation 2 The authors have not specified whether Covariance-based SEM (CB-SEM) or the Partial Least Square SEM (PLS-SEM) was used in the study. Also, providing the reasons for the choice of one over the other for this study shall bring more clarity. Providing this information shall prove useful to the readers in their related research work. 

Author Response

Please see the enclosed files.

Author Response File: Author Response.pdf

Reviewer 2 Report

- TAM is the well-established theory in information systems field. However, there are other theories relating to technology adoption. Authors should explain why TAM is chosen instead of other theories that have been rarely employed to expand the literature in the field.

- I disagree with authors in this point >> Nevertheless, few studies have been conducted to ensure the explanatory power of TAM by 36 selecting Uber taxi applications as research subjects. << Please check https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=%2B%22Uber%22+%2B%22technology+acceptance+model%22+%2B%22TAM%22&btnG=

- Exploring antecedents of perceived usefulness is interesting. However, authors have to add more points that contribute to the field or compare their findings with others.

- Authors should apply some theory about information to describe about time, price, and driver information.

- Do authors conduct the pretest to evaluate the revision of items? If yes, authors should add these points.

- Why three types of information not link to ease of use?

- Authors should use 'perceived usefulness' and 'perceived ease of use' rather than usefulness and ease of use.

- Authors should link the demographic information with the research results more in the implications section.

- Authors should explicitly compare the goodness-of-fit measures with their criteria together with the reference of criteria.

- Authors should add R2 into the Figure 2 and talk about it in the content.

- Authors should add more explanations about insignificant results with support from literature in the discussion section.

- The effect size should be calculated and shown.

- The contributions of this study to the literature is quite limited.

Author Response

Please see the enclosed files.

Author Response File: Author Response.pdf

Reviewer 3 Report

This manuscript has used TAM to find the antecedents of customer usages for UBER application, which is an important issue considering the changing environment of public transformation system in the U.S. or other countries due to the sharing economy.

This manuscript is well-written, thoroughly reviewed the previous studies, and  it has correctly applied SEM model and followed the right process for the model. 

However, I recommend authors to change two thing for enhancing the manuscript.

One is the limitation of TAM should be enhanced. TAM was originally designed to analysis the adoption process of technology, but the manuscript has used TAM for repurchasing or reusing behaviors. Authors must explain why TAM can be extended to the reusing behavior in the manuscript. This is a crucial issue considering the importance of TAM in the manuscript.

The other is the research gap. Lack of studies cannot be a sufficient reason for this manuscript. Authors should find other research gaps for the manuscript.  

Author Response

Please see the enclosed files.

Author Response File: Author Response.pdf

Round 2

Reviewer 2 Report

-  Authors should explicitly compare the goodness-of-fit measures with their criteria together with the reference of criteria. << Authors did not show the criteria and references.

Author Response

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Author Response File: Author Response.pdf

Reviewer 3 Report

All the questions in the previous version are fully explained and solved.

Author Response

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Author Response File: Author Response.docx