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r-plspm's Introduction

Partial Least Square - Path Modelling Analysis in R with plspm Package

PLS-PM analysis based on my final thesis dataset for Bachelor Degree of Management in Universitas Jenderal Soedirman.

Thesis Background

My thesis entitled by "User Acceptance on Mobile Payment OVO Users (Case Study in Purwokerto, Central Java, Indonesia)". As for theoritical background, I mainly choose Unified Theory of Acceptance and Use of Technology 2 (UTAUT2).

Variable Description

  1. AGE = Age as categorical variable for each observation
  2. PE = Performance Expectancy
  3. EE = Effort Expectancy
  4. FC = Facilitating Conditions
  5. HA = Habit
  6. PV = Price Value
  7. HM = Hedonic Motivations
  8. BU = Behavioral Intention to Use

Libraries

Install these respective packages on R:

  1. readxl
  2. plspm (Thanks to gastonstat/plspm)

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