User engagement in social network platforms: what key strategic factors determine online consumer purchase behaviour?-Reference-Cited by-同舟云学术

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User engagement in social network platforms: what key strategic factors determine online consumer purchase behaviour?

Published:2022-08-16 Issue:1 Volume:36 Page:
ISSN:1331-677X
Container-title:Economic Research-Ekonomska Istraživanja
language:en
Short-container-title:Economic Research-Ekonomska Istraživanja

Author:

Ebrahimi Pejman¹^ORCID,Khajeheian Datis²^ORCID,Soleimani Maryam³^ORCID,Gholampour Abbas⁴^ORCID,Fekete-Farkas Maria⁵^ORCID

Affiliation:

1. Doctoral School of Economic and Regional Sciences, Hungarian University of Agriculture and Life Sciences(MATE), Gödöllő, Hungary

2. Department of Business Management, Faculty of Management, University of Tehran, Tehran, Iran

3. Department of Management, Economics and Accounting, Payame Noor University, Tehran, Iran

4. Department of Management, Rasht Branch, Islamic Azad University, Rasht, Iran

5. Institute of Agricultural and Food Economics, Hungarian University of Agriculture and Life Sciences (MATE), Gödöllő, Hungary

Publisher

Informa UK Limited

Subject

Economics and Econometrics

Link

https://www.tandfonline.com/doi/pdf/10.1080/1331677X.2022.2106264

Reference137 articles.

1. Understanding consumer intention to participate in online travel community and effects on consumer intention to purchase travel online and WOM: An integration of innovation diffusion theory and TAM with trust

2. The role of product brand image and online store image on perceived risks and online purchase intentions for apparel

3. Social media, customer engagement, and sales organizations: A research agenda

4. Modeling Deming’s quality principles to improve performance using interpretive structural modeling and MICMAC analysis

5. Investigating the impact of social media advertising features on customer purchase intention

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2. Sentiment-based predictive models for online purchases in the era of marketing 5.0: a systematic review;Journal of Big Data;2024-08-05

3. Why do generation X customers use wearable fitness technology equipment after recovering from coronavirus? The role of perceived health risks;Heliyon;2024-06

4. A Robust Prediction of Different Factors Influencing Chinese Consumers Intentions to Purchase Creative Products Using Deep Learning Methodology;2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI);2024-05-09

5. Consumer Citizenship Behavior in Online/Offline Shopping Contexts: Differential Impact of Consumer Perceived Value and Perceived Corporate Social Responsibility;Sustainability;2024-04-02

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