Dataset of New Product Purchase Intentions

Published: 3 April 2019| Version 1 | DOI: 10.17632/mwjmx8fp6t.1
Salem A. Al-Jundi


This dataset serves the paper entitled “The Effect of Consumer Innovativeness on New Product Purchase Intentions via Learning Process and Perceived Value”. Measurable indicator variables were established for all constructs that are based on previous research. All observed items were considered as reflective indicators. Each construct had six observed variables. All items were measured using a seven-point Likert scale types and some of them semantic differential scale type. The items are coded as Consumer Innovativeness (CI 1-6), Learning Process (LP 1-6), Perceived Value (PV 1-6) and New Product Purchase Intentions (NP 1-6). The numbers in tables reflects the seven-point Likert scale types from 1: strongly disagree to 7: strongly agree. The item PV6 is scaled from 1: very uncertain to 7: very certain, while the item NP4 is scaled from 1: one item or zero to 7: seven items or more.


Steps to reproduce

The measured items under consideration were translated into Arabic and inserted into two Google Forms as an electronic surveys in Arabic and English. The questionnaires were mainly promoted online, and respondents were invited to take the survey through hyper-links which sent on their email addresses, Blackboard profiles and social media. Our target was the university’s students of three higher education institutes in the Emirate of Abu Dhabi, UAE, in addition to administrators, academics and their relatives and friends. A total of 438 responses was gathered, all of which were complete and bias-free, and thus usable. The process of collecting the data took three months, from the beginning of October to the end of December 2018. Other sheets show the results as demonstrated in SmartPLS 3.2.8 software.


Innovation, Innovation Economics, New Product