Exploring values affecting e-Learning adoption from the user-generated-content: A consumption-value-theory perspective

Ray, Arghya; Bala, Pradip Kumar; Dwivedi, Yogesh K.

doi:10.1080/0965254x.2020.1749875

Cited by 49 publications

(28 citation statements)

References 77 publications

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“…Saga et al [ 69 ] proposed a hybrid framework integrating the LDA and proposed a process of analyzing SEM using LDA. Ray et al [ 70 ] also adopted the LDA and the SEM to explore various values affecting behavioral intention in the context of e-learning services. Both studies used the words as observation variables and the topics as the latent variables for SEM.…”

Section: Methodsmentioning

confidence: 99%

Using Social Media Mining and PLS-SEM to Examine the Causal Relationship between Public Environmental Concerns and Adaptation Strategies

Yang

Huang

Hsiao

2021

IJERPH

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With growing scientific evidence showing the harmful impact of air pollution on the environment and individuals’ health in modern societies, public concern about air pollution has become a central focus of the development of air pollution prevention policy. Past research has shown that social media is a useful tool for collecting data about public opinion and conducting analysis of air pollution. In contrast to statistical sampling based on survey approaches, data retrieved from social media can provide direct information about behavior and capture long-term data being generated by the public. However, there is a lack of studies on how to mine social media to gain valuable insights into the public’s pro-environmental behavior. Therefore, research is needed to integrate information retrieved from social media sites into an established theoretical framework on environmental behaviors. Thus, the aim of this paper is to construct a theoretical model by integrating social media mining into a value-belief-norm model of public concerns about air pollution. We propose a hybrid method that integrates text mining, topic modeling, hierarchical cluster analysis, and partial least squares structural equation modelling (PLS-SEM). We retrieved data regarding public concerns about air pollution from social media sites. We classified the topics using hierarchical cluster analysis and interpreted the results in terms of the value-belief-norm theoretical framework, which encompasses egoistic concerns, altruistic concerns, biospheric concerns, and adaptation strategies regarding air pollution. Then, we used PLS-SEM to confirm the causal relationships and the effects of mediation. An empirical study based on the concerns of Taiwanese social media users about air pollution was used to demonstrate the feasibility of the proposed framework in general and to examine gender differences in particular. Based on the results of the empirical studies, we confirmed the robust effects of egoistic, altruistic, and biospheric concerns of public impact on adaptation strategies. Additionally, we found that gender differences can moderate the causal relationship between egoistic concerns, altruistic concerns, and adaptation strategies. These results demonstrate the effectiveness of enhancing perceptions of air pollution and environmental sustainability by the public. The results of the analysis can serve as a basis for environmental policy and environmental education strategies.

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Section: Methodsmentioning

confidence: 99%

Using Social Media Mining and PLS-SEM to Examine the Causal Relationship between Public Environmental Concerns and Adaptation Strategies

Yang

Huang

Hsiao

2021

IJERPH

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“…Researchers have been studying barriers in various contexts like, healthcare (Brown, 2005), adoption of renewable energy innovations (Reddy and Painuly, 2004), etc. For any service provider it is vital to know the barriers that customer's face because the advancement of technological innovations has not only changed the lifestyle of people (Ray et al, 2020b) but has also led to increase in competition in almost every sector (Ray et al, 2019a). The easy accessibility of various internetbased services has also increased barriers faced by consumers.…”

Section: Review Of Relevant Literaturementioning

confidence: 99%

“…The qualitative-based interviews have revealed that facilitator teaching and communication skills affect a person's motives to pursue a particular course. Researchers (Ray et al, 2020b) noted a positive influence on facilitator quality on intention to take up online courses. Researchers have also noted that teaching quality affects not only students' learning (Sandnes and Jian, 2001) but also their satisfaction (Jian and Sandnes, 2009).…”

Section: Value Barriermentioning

confidence: 99%

Exploring barriers affecting eLearning usage intentions: an NLP-based multi-method approach

Ray

Bala

Dwivedi

2020

Behaviour & Information Technology

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With online-learning becoming the new mode of learning, providers need to understand the barriers that learners face. The objective of this study is to utilize a multi-method approach to examine the barriers that affect learner's intention to use e-Learning services. The multi-method approach consists of qualitative semi-structured interviews of 8 participants, topic-modelling on 3227 reviews from Coursera dataset and 463 responses from an online survey for quantitative analysis. The interviews revealed themes like "rigid-course-structure", "complexity", "quality-offacilitator", and "value-addition". The topic-modeling approach extracted themes like, "techniqueof-teaching", "language-of-speaker", "course-content", "privacy", "payment-issues", etc. The empirical study revealed that value [course-content ("course-content", "value-addition") and facilitator-issues ("quality-of-facilitator", "handling-of-queries")], tradition [trust ("privacy concerns", "authenticity", "reliability")] and risk [payment issues ("payment-failures", "refund issues")] barriers have a notable negative impact on usage-intention. The originality of this works lies in the fact that it explores payment-failure, facilitator-quality, and course-value affecting the acceptance of e-Learning services from the innovation-resistance-theory stance utilising data from various sources (qualitative data from interviews and online reviews and quantitative survey-based data). This work has also discussed different limitations in this study and scope for future research.

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“…The Consumption Value Theory (CVT) is used to capture the different value-oriented elements that affect the behavior choice of customers. Understanding the issue of how customer perceptions and factors that influence the customers' satisfaction and the adoption of various innovation represent a significant market research task (Ray et al, 2020). CVT was originally developed by Sheth et al (1991) understand the customers' choices of whether to buy or nor buy in the marketing field (Biswas and Roy, 2015).…”

Section: The Consumption Value Theorymentioning

confidence: 99%

“…Functional value generally is more associated with the functional aspects of the service platforms (e.g. website, application) (Ray et al, 2020). There are studies regarding that the functional value influences mobile services (Turel et al, 2007), use of mobile application (Zolkepli et al, 2020, Spink et al, 2011, information systems (Tzeng, 2011).…”

Section: Figure 2 Conceptual Research Modelmentioning

confidence: 99%

Evaluating Customers’ Continuance Intention for Using Mobile Payment: Consumption Value Theory Perspective

2021

IJWI

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Exploring values affecting e-Learning adoption from the user-generated-content: A consumption-value-theory perspective

Cited by 49 publications

References 77 publications

Using Social Media Mining and PLS-SEM to Examine the Causal Relationship between Public Environmental Concerns and Adaptation Strategies

Using Social Media Mining and PLS-SEM to Examine the Causal Relationship between Public Environmental Concerns and Adaptation Strategies

Exploring barriers affecting eLearning usage intentions: an NLP-based multi-method approach

Evaluating Customers’ Continuance Intention for Using Mobile Payment: Consumption Value Theory Perspective

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