Big Data Analytics Capability Ecosystem Model for SMEs

Round 1

Reviewer 1 Report

Minor English language check

The conclusions should also be supported by the results presented in the article and referenced in the secondary literature

 

Author Response

Dear Reviewer 1,

A million thanks for the positive comments and feedback. As per your suggestion, we have included secondary literature references in the conclusion.

Thank you

Reviewer 2 Report

1. The abstract can be concise, stating clearly the purpose, methodology, content, conclusion and innovation of the paper. The abstract can be brief. The author can abbreviate the first paragraph of the abstract.

2. The format of the references in the paper needs to be modified. For example, lines 37 cited (Seles et al., 2018). can be directly replaced by the serial number [1]. The same is true for other references. 3.

In Section 1. Introduction, the authors need to state the innovation of the paper. In this section, the authors explain the importance of In this section, the authors explain the importance of big data analysis. However, there is a lack of literature comparison to explain the reasons why the authors studied this issue. In particular, the research progress and problems of big data analytics for SMEs. This could support the thesis The purpose, significance and problems of the research of the paper.

4. The sample size of the paper is very small. Please provide a reasonable explanation for this and detail whether the sample size supports the findings of the paper. 5. The author does not include the results of the study in the discussion section.

5. The authors do not compare the results of the paper with the existing literature in the discussion section. Please further enrich and improve this section. Please further enrich and improve this section. Also, the paper does not indicate whether there is any theoretical support. The authors could elaborate the theoretical implications in the discussion section. The theoretical implications can be elaborated in the discussion section.

Author Response

Reviewer 2
1	1. The abstract can be concise, stating clearly the purpose, methodology, content, conclusion and innovation of the paper. The abstract can be brief. The author can abbreviate the first paragraph of the abstract.	Thank you for your comments, we have gone through the abstract to make sure it covers the purpose of the study, methodology, and findings which is the proposed model that could help SMEs improve their value creation performance, directly influencing the country’s GDP and employability.
2	2. The format of the references in the paper needs to be modified. For example, lines 37 cited (Seles et al., 2018). can be directly replaced by the serial number [1]. The same is true for other references.	Thank you for highlighting, we have numbered the references and citations as per the required format by the journal. All references have replaced by the serial number as per your suggestions.
3	3.In Section 1. Introduction, the authors need to state the innovation of the paper. In this section, the authors explain the importance of In this section, the authors explain the importance of big data analysis. However, there is a lack of literature comparison to explain the reasons why the authors studied this issue. In particular, the research progress and problems of big data analytics for SMEs. This could support the thesis The purpose, significance and problems of the research of the paper.	Thank you for the suggestions. We have gone through the paper to make sure that the purpose of the study, importance, significance of the study, objectives, and research questions are clearly stated in the introduction.   The main reason for this paper which was not highlighted was a grant given by a government-linked organization requesting us to conduct research on the aspect of Big Data.
4	The sample size of the paper is very small. Please provide a reasonable explanation for this and detail whether the sample size supports the findings of the paper. 5. The author does not include the results of the study in the discussion section.	Thank you very much for your valuable comment, the sample size was deemed to be sufficient as it achieves saturation in results. we have included the justification for having 14 key informants.
5	The authors do not compare the results of the paper with the existing literature in the discussion section. Please further enrich and improve this section. Please further enrich and improve this section. Also, the paper does not indicate whether there is any theoretical support. The authors could elaborate the theoretical implications in the discussion section. The theoretical implications can be elaborated in the discussion section	Thank you very much for your suggestion. We have structured our policy paper in such a way that existing literature gives us a direction for designing the focus group questions. As this study was using the qualitative technique, the result section focuses on our findings and the existing literature review. Thus, we did not include literature in the discussion section to avoid duplication.

Reviewer 3 Report

In terms of overall, this article should be reorganized. The main part of this study is the theoretical model proposed in Figure 1.   Figure 1. Big Data Analytics (BDA) Capability Model for SMEs in Malaysia  Big Data Analytics Capability Ecosystem Model for SMEs.   The other parts are integrated with some research questions and objectives. It's not a good approach for this article. Please, consider the main problem of the study according to the results. For example: the main objective of this study is to propose a Big Data Analytic model to contribute with future decisions. And to support this objective we identify a problem:  How can the Big Data Analytics (BDA) Capability model contribute to future decisions for SMEs? and two research questions as follow: rq1:  What are the enabling factors that lead to Big Data Analytics (BDA) Capability adoption for SMEs?;  and rq2:  What are the challenges faced by SMEs in adopting Big Data Analytics (BDA)  Capability in their business operations?    Please adapt the title according to this suggestion. And move the Figure 1 for the initial of the text and then describe the model proposed. Thanks.   

Author Response

Thank you very much for your valuable comments. We have stracture this policy paper based on the 3 objectives:

1) to investigate the enablers/importance of Big Data Analytics capability in business

2) to identify the challenges/ barriers faced by SMEs in adopting Big Data Analytics in their business operations

3) to develop Big Data Analytics Capability model that ex-plains how it can create value and support the decision-making process for businesses in the volatile environment (i.e.COVID-19).

Following the objectives, we have addressed the relevant research questions.

The model is the result of this study for policy implications; Therefore, we have placed the model in policy implications section.