The impact of sustainable development strategy on sustainable supply chain firm performance in the digital transformation era

Corrigendum to [The impact of sustainable development strategy on sustainable supply chain firm performance in the digital transformation era]. [Nayal, K., Raut, R. D., Yadav, V. S., Priyadarshinee, P., & Narkhede, B. E. (2022). The impact of sustainable development strategy on sustainable supply chain firm performance in the digital transformation era. Business Strategy and the Environment, 31(3), 845–859. https://doi.org/10.1002/bse.2921]. [Correction in Table 4 values of the manuscript: there is typo error in sixth column of Table 4, it should be read as "standard error" instead of p-values and same should be reflected in section 3.2. This error occurred during exporting data from AMOS to Excel and Excel to Word. Also, values in the "t-statistics" column were provided mistakenly and are now provided with the corrected value of "t-statistics". All values except standard deviation are calculated from SEM through AMOS-SPSS version 20.0. The standard deviation for the first 100 samples from the PLS-SEM through SmartPLS-student version has been calculated. The correction to Table 4 and section 3.2 is provided here as follows: 3.2 Hypothesis testing and mediation analysis We analyzed each of seven hypotheses, and it was observed that five of them were supporting, while two were not supporting. The statistical results of these hypotheses are presented in Table 4. SCC positively affects the SDS (β = .167, S.E. = .060). SCC also positively affects the DIT (β = .012, S.E. = .071). Furthermore, SDS positively affects DIT (β = .028, S.E. = .084). Our work did not support the second hypothesis between SCC and COA (β = −.010, S.E. = .055). Similarly, the hypothesis between DIT and COA was also not supported (β = −.103, S.E. = .052). However, the sixth hypothesis between COA and SSCFP was supported (β = .056, S.E. = .067), which hints that COA helps the firm improve its SC. Furthermore, the last hypothesis between DIT and SSCFP was supported (β = .080, S.E. = .051), and it shows that DIT helps firms improve their SCP. Note- We only focused on path coefficient value while deciding on the hypothesis's acceptance or rejection. Anderson et al. (2014, p. 394) mentioned that "by providing the p-value as part of hypothesis testing results, another decision maker can compare the reported p-value to his or her significance level and possibly make a different decision concerning rejecting null hypotheses". We apologize for this error.