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The age of mobile social commerce: An Artificial Neural Network analysis on its resistances

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  1. Francisco Liébana-Cabanillas & Nidhi Singh & Zoran Kalinic & Elena Carvajal-Trujillo, 2021. "Examining the determinants of continuance intention to use and the moderating effect of the gender and age of users of NFC mobile payments: a multi-analytical approach," Information Technology and Management, Springer, vol. 22(2), pages 133-161, June.
  2. Arsalan Najmi & Kanagi Kanapathy & Azmin A. Aziz, 2021. "Exploring consumer participation in environment management: Findings from two‐staged structural equation modelling‐artificial neural network approach," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 28(1), pages 184-195, January.
  3. Friedman, Nicola & Ormiston, Jarrod, 2022. "Blockchain as a sustainability-oriented innovation?: Opportunities for and resistance to Blockchain technology as a driver of sustainability in global food supply chains," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
  4. Talwar, Shalini & Srivastava, Shalini & Sakashita, Mototaka & Islam, Nazrul & Dhir, Amandeep, 2022. "Personality and travel intentions during and after the COVID-19 pandemic: An artificial neural network (ANN) approach," Journal of Business Research, Elsevier, vol. 142(C), pages 400-411.
  5. Rabindra Kumar Jena, 2022. "Investigating and Predicting Intentions to Continue Using Mobile Payment Platforms after the COVID-19 Pandemic: An Empirical Study among Retailers in India," JRFM, MDPI, vol. 15(7), pages 1-24, July.
  6. Huang, Dan & Jin, Xin & Coghlan, Alexandra, 2021. "Advances in consumer innovation resistance research: A review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
  7. Chakraborty, Debarun & Singu, Hari Babu & Patre, Smruti, 2022. "Fitness Apps's purchase behaviour: Amalgamation of Stimulus-Organism-Behaviour-Consequence framework (S–O–B–C) and the innovation resistance theory (IRT)," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
  8. Leong, Lai-Ying & Hew, Teck-Soon & Ooi, Keng-Boon & Chong, Alain Yee-Loong, 2020. "Predicting the antecedents of trust in social commerce – A hybrid structural equation modeling with neural network approach," Journal of Business Research, Elsevier, vol. 110(C), pages 24-40.
  9. Talwar, Manish & Talwar, Shalini & Kaur, Puneet & Islam, A.K.M. Najmul & Dhir, Amandeep, 2021. "Positive and negative word of mouth (WOM) are not necessarily opposites: A reappraisal using the dual factor theory," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
  10. Wang, Guoqiang & Tan, Garry Wei-Han & Yuan, Yunpeng & Ooi, Keng-Boon & Dwivedi, Yogesh K., 2022. "Revisiting TAM2 in behavioral targeting advertising: A deep learning-based dual-stage SEM-ANN analysis," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
  11. Mahmud, Hasan & Islam, A.K.M. Najmul & Mitra, Ranjan Kumar, 2023. "What drives managers towards algorithm aversion and how to overcome it? Mitigating the impact of innovation resistance through technology readiness," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
  12. Liu, Yu-li & Yan, Wenjia & Hu, Bo, 2021. "Resistance to facial recognition payment in China: The influence of privacy-related factors," Telecommunications Policy, Elsevier, vol. 45(5).
  13. Fu, Shihui & Xue, Kunkun & Yang, Mengya & Wang, Xiaona, 2023. "An exploratory study on users' resistance to mobile app updates: Using netnography and fsQCA," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
  14. Villanueva Orbaiz, María Luisa & Arce-Urriza, Marta, 2024. "The role of active and passive resistance in new technology adoption by final consumers: The case of 3D printing," Technology in Society, Elsevier, vol. 77(C).
  15. Nosratabadi, Saeed & Mosavi, Amir & Duan, Puhong & Ghamisi, Pedram & Filip, Ferdinand & Band, Shahab S. & Reuter, Uwe & Gama, Joao & Gandomi, Amir H., 2020. "Data science in economics: comprehensive review of advanced machine learning and deep learning methods," MetaArXiv haf2v, Center for Open Science.
  16. Nosratabadi, Saeed & Mosavi, Amir & Duan, Puhong & Ghamisi, Pedram & Filip, Ferdinand & Band, Shahab S. & Reuter, Uwe & Gama, Joao & Gandomi, Amir H., 2020. "Data science in economics: comprehensive review of advanced machine learning and deep learning methods," SocArXiv 9vdwf, Center for Open Science.
  17. Nosratabadi, Saeed & Mosavi, Amir & Duan, Puhong & Ghamisi, Pedram & Filip, Ferdinand & Band, Shahab S. & Reuter, Uwe & Gama, Joao & Gandomi, Amir H., 2020. "Data science in economics: comprehensive review of advanced machine learning and deep learning methods," OSF Preprints yc6e2, Center for Open Science.
  18. Talwar, Manish & Talwar, Shalini & Kaur, Puneet & Tripathy, Naliniprava & Dhir, Amandeep, 2021. "Has financial attitude impacted the trading activity of retail investors during the COVID-19 pandemic?," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
  19. Talwar, Shalini & Talwar, Manish & Kaur, Puneet & Dhir, Amandeep, 2020. "Consumers’ resistance to digital innovations: A systematic review and framework development," Australasian marketing journal, Elsevier, vol. 28(4), pages 286-299.
  20. Nosratabadi, Saeed & Mosavi, Amir & Duan, Puhong & Ghamisi, Pedram & Filip, Ferdinand & Band, Shahab S. & Reuter, Uwe & Gama, Joao & Gandomi, Amir H., 2020. "Data science in economics: comprehensive review of advanced machine learning and deep learning methods," EdArXiv 5dwrt, Center for Open Science.
  21. Sadiq, Mohd & Adil, Mohd & Paul, Justin, 2021. "An innovation resistance theory perspective on purchase of eco-friendly cosmetics," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
  22. Liu, Aiping & Urquía-Grande, Elena & López-Sánchez, Pilar & Rodríguez-López, Ángel, 2022. "How technology paradoxes and self-efficacy affect the resistance of facial recognition technology in online microfinance platforms: Evidence from China," Technology in Society, Elsevier, vol. 70(C).
  23. Paul, Tripti & Mondal, Sandeep & Islam, Nazrul & Rakshit, Sandip, 2021. "The impact of blockchain technology on the tea supply chain and its sustainable performance," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
  24. Nosratabadi, Saeed & Mosavi, Amir & Duan, Puhong & Ghamisi, Pedram & Filip, Ferdinand & Band, Shahab S. & Reuter, Uwe & Gama, Joao & Gandomi, Amir H., 2020. "Data science in economics: comprehensive review of advanced machine learning and deep learning methods," LawArXiv kczj5, Center for Open Science.
  25. Nosratabadi, Saeed & Mosavi, Amir & Duan, Puhong & Ghamisi, Pedram & Filip, Ferdinand & Band, Shahab S. & Reuter, Uwe & Gama, Joao & Gandomi, Amir H., 2020. "Data science in economics: comprehensive review of advanced machine learning and deep learning methods," Thesis Commons auyvc, Center for Open Science.
  26. Aw, Eugene Cheng-Xi & Tan, Garry Wei-Han & Cham, Tat-Huei & Raman, Ramakrishnan & Ooi, Keng-Boon, 2022. "Alexa, what's on my shopping list? Transforming customer experience with digital voice assistants," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
  27. Kumar, Sushant & Dhir, Amandeep & Talwar, Shalini & Chakraborty, Debarun & Kaur, Puneet, 2021. "What drives brand love for natural products? The moderating role of household size," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
  28. Hew, Jun-Jie & Lee, Voon-Hsien & Leong, Lai-Ying, 2023. "Why do mobile consumers resist mobile commerce applications? A hybrid fsQCA-ANN analysis," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
  29. Sham, Rohana & Chong, Han Xi & Cheng-Xi Aw, Eugene & Bibi Tkm Thangal, Thahira & Abdamia, Noranita binti, 2023. "Switching up the delivery game: Understanding switching intention to retail drone delivery services," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
  30. Ng, Felicity Zi-Xuan & Yap, Hui-Yee & Tan, Garry Wei-Han & Lo, Pei-San & Ooi, Keng-Boon, 2022. "Fashion shopping on the go: A Dual-stage predictive-analytics SEM-ANN analysis on usage behaviour, experience response and cross-category usage," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
  31. Talwar, Shalini & Dhir, Amandeep & Scuotto, Veronica & Kaur, Puneet, 2021. "Barriers and paradoxical recommendation behaviour in online to offline (O2O) services. A convergent mixed-method study," Journal of Business Research, Elsevier, vol. 131(C), pages 25-39.
  32. Saeed Nosratabadi & Amirhosein Mosavi & Puhong Duan & Pedram Ghamisi & Ferdinand Filip & Shahab S. Band & Uwe Reuter & Joao Gama & Amir H. Gandomi, 2020. "Data Science in Economics: Comprehensive Review of Advanced Machine Learning and Deep Learning Methods," Mathematics, MDPI, vol. 8(10), pages 1-25, October.
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