Scholarlink

Purpose <p>The present research is interested in evaluating the Unified Theory of Acceptance and Use of Technology (UTAUT) model and its extra predictors to examine those factors which determine the millennials and elearning issue. The relationship between behaviour intentions (BI) and further process of adopting elearning is the result on which the study is focussing on the basis of performance expectancy (PE), effort expectancy (EE), facilitating conditions (FC), social influences (SI) and learning values (LV).</p> Design/methodology/approach <p>The participant sample in the present research paper acquires the data of 412 undergraduates and graduated students at universities of Northern India through snowball sampling. Structural equation Modeling (SEM) in SPSS and AMOS was used by the researcher to test the Hypothesis that was proposed.</p> Findings <p>The three factors that crucially influenced the behavioural intention of students towards adoption of elearning are performance expectancy, perceived enjoyment, and facilitating conditions but Effort expectancy, social influences are insignificant. Interceding variable behavioural Intention also plays pertinent role in adopting elearning.</p> Practical implications <p>The paper recommends that curriculum designers, institutional decision-makers, and platform developers put more emphasis on making elearning more useful, enjoyable and support systems as they played an important role in determining the behavioural intents and adoption of elearning. There is less importance in the need of focus on the effort expectancy and the influence of peers that reflected minor effects.</p> Originality/value <p>In this study, the UTAUT model is expanded with additional predictors to enlighten the issue of adopting elearning among millennials to better experience and help make adequate choice with regards to the necessity of taking steps to utilize digital tools in education.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Elearning adoption among millennials: behavioural intentions and the extended UTAUT model

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年10月10日

查看全文
  • Arif Hasan,
  • Sandeep Raghuwanshi,
  • Hiren Harsora,
  • Prabhat Kumar,
  • Vivek Gupta,
  • Ardhendu Shekhar Singh

摘要

Purpose

The present research is interested in evaluating the Unified Theory of Acceptance and Use of Technology (UTAUT) model and its extra predictors to examine those factors which determine the millennials and elearning issue. The relationship between behaviour intentions (BI) and further process of adopting elearning is the result on which the study is focussing on the basis of performance expectancy (PE), effort expectancy (EE), facilitating conditions (FC), social influences (SI) and learning values (LV).

Design/methodology/approach

The participant sample in the present research paper acquires the data of 412 undergraduates and graduated students at universities of Northern India through snowball sampling. Structural equation Modeling (SEM) in SPSS and AMOS was used by the researcher to test the Hypothesis that was proposed.

Findings

The three factors that crucially influenced the behavioural intention of students towards adoption of elearning are performance expectancy, perceived enjoyment, and facilitating conditions but Effort expectancy, social influences are insignificant. Interceding variable behavioural Intention also plays pertinent role in adopting elearning.

Practical implications

The paper recommends that curriculum designers, institutional decision-makers, and platform developers put more emphasis on making elearning more useful, enjoyable and support systems as they played an important role in determining the behavioural intents and adoption of elearning. There is less importance in the need of focus on the effort expectancy and the influence of peers that reflected minor effects.

Originality/value

In this study, the UTAUT model is expanded with additional predictors to enlighten the issue of adopting elearning among millennials to better experience and help make adequate choice with regards to the necessity of taking steps to utilize digital tools in education.