Adoption of online education channel during the COVID-19 pandemic and associated economic lockdown: an empirical study from push–pull-mooring framework

Nayak, Bishwajit; Bhattacharyya, Som Sekhar; Goswami, Shaileshwar; Thakre, Shreyash

doi:10.1007/s40692-021-00193-w

Cited by 21 publications

(8 citation statements)

References 93 publications

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“…0.025. The three results of the validation of the hypothesis are in line with the research that state there is an effect of variablePushEff, PullEff and MoorEff on switching behavior partially (Nayak et al, 2022).…”

Section: Discussionsupporting

confidence: 85%

“…Thus, the empirical model establishes the relationship between the variables PushEff, PushEff, and MoorEff on SB directly, as well as through MIS and DSE as mediating variables, as well as the relationship between MIS and DSE on SB directly. This relationship is in line with the main principles of the PPM framework (Nayak et al, 2022;Wang & Lin, 2012). As the end of the discussion, that students are willing to switch to hybrid learning due to the circumstances and conditions of the learning environment affected by the Covid 19 pandemic.…”

Section: Discussionsupporting

confidence: 67%

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Behavioral Switching Model To Hybrid Learning Based on Push Pull Mooring Framework

Farliana

Setiaji

Rusdarti

et al. 2023

JERE

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The Covid-19 pandemic has resulted in a shift in hybrid-based learning. The purpose of this study is to analyze how the push-pull mooring effect is able to increase student behavior transition to hybrid learning during the Covid-19 pandemic. This study uses a quantitative approach. The research population is all active students of the Faculty of Economics. The sample used was 146 respondents, with non-probability sampling technique. The data collection technique was an online questionnaire method with an interval scale of agree (scale 7) to disagree (scale 1). Data analysis technique was based on Structural Equation Modeling Partial Least Square (SEM PLS) using WarpPLS 5.0 program. The results showed that the push effect, pull effect, mooring effect, decision self efficacy and motivation and intention switching had an effect on switching behavior. While the push and pull effects have no effect on switching behavior through motivation and intention to switch and decision self-efficacy, in contrast to the mooring effect which has a significant effect. The findings of this study are that hybrid learning has not been able to improve student performance than offline learning, so the student behavior to switch to hybrid learning still needs to be improved.

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Section: Discussionsupporting

confidence: 85%

Section: Discussionsupporting

confidence: 67%

Behavioral Switching Model To Hybrid Learning Based on Push Pull Mooring Framework

Farliana

Setiaji

Rusdarti

et al. 2023

JERE

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“…Alternatively, an increase in SWC could be an impediment to the consumers’ desire to switch an OPA as well as switch between different OPAs. In the case of post-adoption switching intention of consumers regarding online services, there is a statistically insignificant association between pull factors and mooring factors (Hsieh et al , 2012; Nayak et al , 2021). However, with respect to the OPAs, a significant effect of pull as well as push factors was found in this study on the mooring effect of SWC.…”

Section: Discussionmentioning

confidence: 96%

Adoption of online pharmacy applications during COVID-19 pandemic; empirical investigation in the Indian context from push-pull and mooring framework

Nayak

Bhattacharyya

Kulkarni

et al. 2021

JEDT

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Purpose The purpose of this study is to identify antecedents of adoption and post-adoption switching of online pharmacy applications (OPA) in Indian society. A push-pull-mooring (PPM) model was formulated to evaluate the impact of various constructs upon “consumers’ switching intention” (CSI). Design/methodology/approach An online questionnaire was sent to 252 users of OPA in India. Hypotheses were generated to examine the push, pull and mooring effects of constructs developed. The relationships between dependent and independent variables were evaluated using structured equation modeling (SEM). Findings The study explicated the effect of PPM constructs on CSI in the context of OPA adoption. “Perceived usefulness,” “perceived ease of use” and “alternative attractiveness” had a significant “pull” effect on CSI. “Switching cost” had a “mooring” effect on CSI, whereas the degree of “customer involvement in decision-making” was found to have a “push” effect upon CSI. Research limitations/implications This study theoretically established that the constructs of “perceived usefulness,” “perceived ease of use” and “alternative attractiveness” had significant “pull” effect on “consumers’ switching intention.” The construct of “switching cost” had a “mooring” effect on CSI, whereas the degree of “customer involvement in decision-making” was found to have a “push” effect upon CSI. Practical implications The study provided valuable insights regarding consumer behavior regarding OPAs. These findings could be applied by managers in framing effective strategies to grow and retain the customer base of OPAs. Originality/value To the best of the authors’ knowledge, this was one of the first empirical investigative studies to assess precursors of adoption and post-adoption characteristics of consumer behavior through the PPM model, in the context of Indian OPAs.

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“…The Push-Pull-Mooring (PPM) framework was initially developed to understand the phenomenon of human migration, specifically focusing on the factors that contribute to individuals moving from one place to another(P. J. Hsieh, 2021;Lee, 1966;Moon, 1995;Yoon & Lim, 2021) This framework combines two key components: the Push-Pull framework (Bogue, 1977;Nayak et al, 2022) and mooring factors (Dogra, 2023;Lee, 1966;Moon, 1995) Push factors refer to the negative circumstances or conditions that exist in a person's current location, motivating them to leave. On the other hand, pull factors are the positive aspects or attractions of a new destination that draw individuals towards it.…”

Section: Introductionmentioning

confidence: 99%

Trends and Trajectories: Mapping the Evolution of Consumer Switching Intentions through the Push-Pull Mooring Framework

Krishnan,

Venkata Raghuram

2023

QAJ

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This study aims to provide valuable insights into publication trends and potential future research directions in the field of consumer switching intentions within the context of the Push-Pull Mooring (PPM) framework. Employing a theoretical framework rooted in the PPM model, the research conducts a comprehensive bibliometric analysis and utilizes Latent Dirichlet Allocation (LDA) for topic modeling on a dataset of 201 documents from the Scopus database spanning from 2005 to June 2023. The study examines publication patterns, influential authors, countries, and journals, and employs keyword co-occurrence analysis to uncover research themes and perform cluster analysis. The findings reveal changing publication trends, highlight prominent contributors, and provide insights into the research landscape. Additionally, the study applies LDA to identify ten major research themes within this domain. The implications of this research include identifying gaps in the existing literature and emphasizing the need for further investigation, concluding with recommendations for future studies to advance the understanding of consumer switching intention within the PPM framework.

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Adoption of online education channel during the COVID-19 pandemic and associated economic lockdown: an empirical study from push–pull-mooring framework

Cited by 21 publications

References 93 publications

Behavioral Switching Model To Hybrid Learning Based on Push Pull Mooring Framework

Behavioral Switching Model To Hybrid Learning Based on Push Pull Mooring Framework

Adoption of online pharmacy applications during COVID-19 pandemic; empirical investigation in the Indian context from push-pull and mooring framework

Trends and Trajectories: Mapping the Evolution of Consumer Switching Intentions through the Push-Pull Mooring Framework

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