Table 1 Definitions and measurement of variables.

From: Communication dynamics: Fintech’s role in promoting sustainable cashless transactions

Variable

Type

Definition and measurement

Reference

Stage-1

 Performance Expectancy (PE)

Ordinal

“4 Items using Likert Scale 1–5”

Venkatesh et al. (2012)

 Effort Expectancy (EE)

Ordinal

“4 Items using Likert Scale 1–5”

 Facilitating Conditions (FC)

Ordinal

“4 Items using Likert Scale 1–5”

 Perceived Usefulness (PU)

Ordinal

“4 Items using Likert Scale 1–5”

 Price Value (PV)

Ordinal

“4 Items using Likert Scale 1–5”

 Intentions to Use Cashless Transactions (IUCT)

Ordinal

“4 Items using Likert Scale 1–5”

 Financial Literacy (FL)

Ordinal

“5 Items using Likert Scale 1–5”

Al-Somali et al. (2009)

 Personal Innovativeness (PIN)

Ordinal

“4 Items using Likert Scale 1–5”

Raj et al. (2023)

 Actual Use of Cashless Transaction (AUCT)

Ordinal

“3 Items using Likert Scale 1–5”

Venkatesh et al. (2012)

Stage-II

 Financial Inclusion (FI)

Dummy

1 = if a respondent adopts cashless transaction, 0 = otherwise

Peprah et al. (2020)

 Gender

Dummy

1 = Male; 0 = Female

 Marital Status

Categorical

1 = Unmarried; 2 = Married; 3 = Divorced; 4 = Widowed

 Household Size

Continuous

Number of people in a particular household

 Household Income

Continuous

Log (Income in Rupees)

 Age

Continuous

Age of the respondents in years

Niaz (2022)

 Region

Dummy

1 = If respondent belongs to urban area; 0 = If respondent belongs to rural area

 Education

Categorical

1 = No education; 2 = Primary; 3 = Secondary; 4 = Intermediate; 5 = Graduation; 6 = others

 Sustainable Livelihood (SLD)

Continuous

“Growth in different dimensions related to SLD, developed using PCA”

Niaz (2022)

 Growth in Living Standard (GLS)

Continuous

“Growth in different dimensions related to living standard, developed using PCA”

 Social Development (SDT)

Dummy

“Improvement in SDT: If improved = 1; otherwise = 0”

  1. Note: “Likert Scale: 1(Strongly Disagree) to 5 (Strongly Agree); PCA Principal Component Analysis.”