Fear of COVID-19 and green bank service purchase intention: the mediating effect of customer empowerment and customers’ perceived value of digital service transactions

Abstract

PurposeThe paper intends to show the role of fear of COVID-19 and the relevance of customer empowerment (CU_EMP) and customers’ perceived value of digital service transactions (CU_PV_DST) in promoting green bank service purchase intention (GBS_PI), despite the antagonistic impacts brought in other sectors and the relevance of customer empowerment (CU_EMP) and customers’ perceived value of digital service transactions (CU_PV_DST) as important mediating variables of the relation.Design/methodology/approachThe structured questionnaire helped collect survey data from 323 small business people. The model relationship was assessed through EFA, CFA by SPSS-AMOS and SEM using bootstrapping procedures in Smart-PLS.FindingsThe findings of this study show that there is a significant effect of fear of COVID-19 pandemic (F_COVID-19P) on CU_EMP and GBS_PI. CU_EMP influences GBS_PI, whereas F_COVID-19P influences GBS_PI indirectly via CU_EMP. Furthermore, there is a substantial effect of F_COVID-19P on CU_PV_DST and GBS_PI. Thus, F_COVID-19P significantly influences GBS_PI indirectly via CU_PV_DST.Practical implicationsCapitalizing on the COVID-19 wave by empowering customers technologically, improving the legal framework and increasing the perceived value of green service by using an innovative mechanism. In addition, fostering cultural change and emphasizing altruistic values through green advertisements have been explored in this study.Social implicationsGreen services are healthier for smart/green economy and are health-protective for coping with health risks.Originality/valueThis study helps in understanding the theories used in this context by linking them to F_COVID-19P with CU_EMP, CU_PV_DST and GBS_PI and contributes to the literature of both. Furthermore, this is the only study that has used SEM to study this kind of interrelation.

Habits, Health and Environment in the Purchase of Bakery Products: Consumption Preferences and Sustainable Inclinations before and during COVID-19

“…Indicator reliability was assessed by exploring the standardized loadings of items with their respective construct. According to the indications of Dash and Paolo [ 57 , 77 ], items should be retained in the measurement model only if their standardized loadings are equal to or greater than 0.6. Since the model of the Loadings of the CE5 and CE6 items were lower than the recommended threshold value, they were removed from the measurement model and from further analysis, which led to values that were in the acceptable interval for all three indices of the internal coherence of the construct.…”

Triangulating Moderate Impact of Social Media Marketing Communication Between Performance Expectancy, Effort Expectancy and Social Influence on Business Performance in Cashew Industry in Sri Lanka

“…According to previous research, GFI = 0.908, AGFI = 0.890, CFI = 0.967, TLI = 0.960 and NFI = 0.944 imply good model tness (Rajeh et al, 2015, Bangwal and Tiwari, 2019, Nomran and Haron, 2022. RMR = 0.009 and RMSEA = 0.078 also generated good model t (Rajeh et al, 2015, Anwar et al, 2018, Ts, 2022, Sakaya, 2023. PCLOSE greater than 0.05 indicates that the model is well tted.…”

“…Therefore, second CFA attempt generated a good model t (Table II). The result of x 2 / df = 2.365 indicates a good model t because the recommended value for model t is less than 3 (Anwar et al, 2018, Sakaya, 2023. According to previous research, GFI = 0.908, AGFI = 0.890, CFI = 0.967, TLI = 0.960 and NFI = 0.944 imply good model tness (Rajeh et al, 2015, Bangwal and Tiwari, 2019, Nomran and Haron, 2022.…”

“…The mean values of the study's variables are more than the crucial value of 2.99, indicating that the correlation is upright (Sakaya, 2023). As a result, data analysis was required to determine whether they t the characteristics of a normal distribution and to test skewness and kurtosis.…”

“…Model fits There are no uniform criteria for model fitness. This study relied onAnwar et al (2018) andSakaya (2023) because they were commonly utilized in previous studies, model fitness criteria.…”