Cash rich to cashless market: Segmentation and profiling of Fintech-led-Mobile payment users

Jaiswal, Deepak; Mohan, Ashutosh; Deshmukh, Arun Kumar

doi:10.1016/j.techfore.2023.122627

Cited by 8 publications

(3 citation statements)

References 66 publications

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“…In a similar vein, Harman's one-factor test can detect CMV biasing levels in situations typical of survey-based marketing research. A common method bias may exist if a single component dominates and explains a sizable amount of the variance (Fuller et al, 2016;Jaiswal et al, 2023). The findings revealed that all of the measure items were classified into seven factors, with Eigen values surpassing 1.0 and accounting for 83.046% of the variation.…”

Section: Analysis and Resultsmentioning

confidence: 95%

“…A common method bias may exist if a single component dominates and explains a sizable amount of the variance (Fuller et al. , 2016; Jaiswal et al. , 2023).…”

Section: Analysis and Resultsmentioning

confidence: 99%

“…Meanwhile, convergent validity was assessed by factor loadings and average variance extracted (AVE). AVEs ranged from 0.659 to 0.871, exceeding the threshold 0.50 (Jackson and Trull, 2001;Jaiswal et al, 2023). Table 3.…”

Section: Reliability and Validitymentioning

confidence: 99%

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Adoption intention and willingness to pay for electric vehicles: role of social-psychological attributes, fiscal incentives and socio-demographics

Kant,

Mehta,

Jaiswal

et al. 2024

MEQ

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PurposeThe purpose of this present study is to analyze the role of consumers' social-psychological attributes, fiscal incentives and socio-demographics in the adoption intention and the willingness to pay more for electric vehicles (EVs).Design/methodology/approachA cognitive linkage model of “beliefs-intention-willingness” is analyzed using valid responses obtained from Indian consumers. The model is statistically tested at three levels: direct path effect of social-psychological attributes with financial incentives (subjective norm, personal norm, affective attitude, perceived knowledge) on adoption intention and willingness to pay, followed by the mediation of intention and the moderation of socio-demographics.FindingsThe findings reveal that the adoption intention and the willingness to pay are directly driven by all analyzed factors except financial incentives, which is not significantly associated with willingness to pay. Moreover, the adoption intention partially mediated the relation between all socio-psychological measures and willingness to pay, whereas full mediation of incentives is supported. Furthermore, the moderating effect of socio-demographics (gender, education, income) supports the integrated research model.Research limitations/implicationsThe generalizability of findings may be warranted due to the limited sample territory and the sample's youth. However, young people, or millennials, are more receptive to new technologies such as electric or carbon-free automobiles. The research advocates marketers and manufacturers to craft policy interventions and strategies to upsurge the EV demands in the backdrop of emerging markets.Originality/valueThis timely study adds to the extant literature on green and clean technology automobile adoption by exemplifying the relationship between socio-psychological beliefs, intention and willingness to pay at three dimensions of contextual factors. The current study endeavors to endorse the “beliefs-intention-willingness” cognitive linkage framework in the context of Indian green transportation.

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Section: Analysis and Resultsmentioning

confidence: 95%

“…A common method bias may exist if a single component dominates and explains a sizable amount of the variance (Fuller et al. , 2016; Jaiswal et al. , 2023).…”

Section: Analysis and Resultsmentioning

confidence: 99%