Query related to reviewr comment on data analysis

[Dr. Sabu]

Sir/Madam,

We have conducted a study among telecom sector employees in India regarding their Innovative Work Behaviour (IWB). Other constructs in the model are Entrepreneurial Leadership (EL), Workforce Agility (WA), and Employee Change Readiness (CR).

Change Readiness (9 items, CR_1 to CR_9)

Entrepreneurial Leadership (8 items, EL_1 to EL_8)

Innovative Work Behaviour (9 items, IWB_1 to IWB_9)

Workforce Agility (7 items, WA_1 to WA_7).

We used PLS-SEM using Smart PLS for the data analysis

The items CR_7, CR_9, IWB_4, IWB_7, and EL_2 fall below the recommended 0.70, however the AVE values are above 0.5 for all the constructs.

Kindly see the reviewer comments

“The authors acknowledge that five indicators CR_7, CR_9, IWB_4, IWB_7, and EL_2 fall below the recommended 0.70 loading threshold, yet justify their retention solely on the basis that AVE values exceed 0.50. The authors do not report whether removing these sub-threshold items would meaningfully alter AVE, composite reliability, or path coefficients.

Sensitivity analysis is obligatory in this situation.”

 

The reviewer instructed us to do sensitivity analysis.

Kindly advise the procedure to go ahead

[Muhammad R Siregar]

Dear Dr Sabu,

Hair, Ringle, and Sarstedt (2011, 145) write: “Generally, indicators with loadings between 0.40 and 0.70 should only be considered for removal from the scale if deleting this indicator leads to an increase in composite reliability above the suggested threshold value.”

I do not know your exact loadings, but your CR (and AVE) values are already above the threshold, aren’t they? You do not have a valid reason to remove them unless the loadings are below 0.4. Instead, you are preserving the content validity of established measurement scales that you use by not recklessly removing items.

I recommend you write the rebuttal citing Hair, Ringle, and Sarstedt’s 2011 article (doi.org/10.2753/MTP1069-6679190202).

Good luck with your paper.

Best,

MRS

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