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Factors impacting customer purchase intention of smart home security systems: Social data analysis using machine learning techniques

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  • Nilashi, Mehrbakhsh
  • Abumalloh, Rabab Ali
  • Samad, Sarminah
  • Alrizq, Mesfer
  • Alyami, Sultan
  • Abosaq, Hamad
  • Alghamdi, Abdullah
  • Akib, Noor Adelyna Mohammed

Abstract

The Internet of Things (IoTs) market for consumers includes a huge variety of smart home devices. This research is conducted to investigate what factors influence customer purchase of smart home security systems. A new model is developed and the data collection is performed from the customers' reviews on the smart home security systems on Amazon.com. Totally, 12,678 reviews were collected to investigate customers' preferences in purchasing smart home security systems. To analyze the collected data, we develop a new method using text mining, unsupervised clustering, and a neuro-fuzzy system. The factors are discovered from textual reviews using the Latent Dirichlet Allocation (LDA) technique. To segment the customers' preferences the Expectation-Maximization (EM) technique was used. ANFIS technique was then used to find the relationship between the factors and customers' purchase intention. It was demonstrated that the use of text mining can be effective in the analysis of customers’ preferences from online customer reviews. The results of the data analysis are provided and discussed.

Suggested Citation

  • Nilashi, Mehrbakhsh & Abumalloh, Rabab Ali & Samad, Sarminah & Alrizq, Mesfer & Alyami, Sultan & Abosaq, Hamad & Alghamdi, Abdullah & Akib, Noor Adelyna Mohammed, 2022. "Factors impacting customer purchase intention of smart home security systems: Social data analysis using machine learning techniques," Technology in Society, Elsevier, vol. 71(C).
    • Handle: RePEc:eee:teinso:v:71:y:2022:i:c:s0160791x22002597
    DOI: 10.1016/j.techsoc.2022.102118
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    References listed on IDEAS

    as
    1. Shuhaiber, Ahmed & Mashal, Ibrahim, 2019. "Understanding users’ acceptance of smart homes," Technology in Society, Elsevier, vol. 58(C).
    2. Guha Majumder, Madhumita & Dutta Gupta, Sangita & Paul, Justin, 2022. "Perceived usefulness of online customer reviews: A review mining approach using machine learning & exploratory data analysis," Journal of Business Research, Elsevier, vol. 150(C), pages 147-164.
    3. Fernandes, Semila & Panda, Rajesh & Venkatesh, V.G. & Swar, Biranchi Narayan & Shi, Yangyan, 2022. "Measuring the impact of online reviews on consumer purchase decisions – A scale development study," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    4. Roggeveen, Anne L. & Rosengren, Sara, 2022. "From customer experience to human experience: Uses of systematized and non-systematized knowledge," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
    5. Chatterjee, Swagato & Goyal, Divesh & Prakash, Atul & Sharma, Jiwan, 2021. "Exploring healthcare/health-product ecommerce satisfaction: A text mining and machine learning application," Journal of Business Research, Elsevier, vol. 131(C), pages 815-825.
    6. Cheng-Kui Huang & Tawei Wang & Tzu-Yen Huang, 2020. "Initial Evidence on the Impact of Big Data Implementation on Firm Performance," Information Systems Frontiers, Springer, vol. 22(2), pages 475-487, April.
    7. Chrysanthos Dellarocas, 2003. "The Digitization of Word of Mouth: Promise and Challenges of Online Feedback Mechanisms," Management Science, INFORMS, vol. 49(10), pages 1407-1424, October.
    8. Zhao, Haichuan & Jiang, Lan & Su, Chenting, 2020. "To Defend or Not to Defend? How Responses to Negative Customer Review Affect Prospective customers' Distrust and Purchase Intention," Journal of Interactive Marketing, Elsevier, vol. 50(C), pages 45-64.
    9. Piris, Yolande & Gay, Anne-Cécile, 2021. "Customer satisfaction and natural language processing," Journal of Business Research, Elsevier, vol. 124(C), pages 264-271.
    10. Lambillotte, Laetitia & Magrofuoco, Nathan & Poncin, Ingrid & Vanderdonckt, Jean, 2022. "Enhancing playful customer experience with personalization," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    11. Esmailpour, Javad & Aghabayk, Kayvan & Aghajanzadeh, Mohammad & De Gruyter, Chris, 2022. "Has COVID-19 changed our loyalty towards public transport? Understanding the moderating role of the pandemic in the relationship between service quality, customer satisfaction and loyalty," Transportation Research Part A: Policy and Practice, Elsevier, vol. 162(C), pages 80-103.
    12. Gibson, Samantha & Hsu, Maxwell K. & Zhou, Xing, 2022. "Convenience stores in the digital age: A focus on the customer experience and revisit intentions," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    13. Ali Abumalloh, Rabab & Ibrahim, Othman & Nilashi, Mehrbakhsh, 2020. "Loyalty of young female Arabic customers towards recommendation agents: A new model for B2C E-commerce," Technology in Society, Elsevier, vol. 61(C).
    14. Ruan, Yanya & Mezei, József, 2022. "When do AI chatbots lead to higher customer satisfaction than human frontline employees in online shopping assistance? Considering product attribute type," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    15. Zibarzani, Masoumeh & Abumalloh, Rabab Ali & Nilashi, Mehrbakhsh & Samad, Sarminah & Alghamdi, O.A. & Nayer, Fatima Khan & Ismail, Muhammed Yousoof & Mohd, Saidatulakmal & Mohammed Akib, Noor Adelyna, 2022. "Customer satisfaction with Restaurants Service Quality during COVID-19 outbreak: A two-stage methodology," Technology in Society, Elsevier, vol. 70(C).
    16. Iglesias, Oriol & Markovic, Stefan & Rialp, Josep, 2019. "How does sensory brand experience influence brand equity? Considering the roles of customer satisfaction, customer affective commitment, and employee empathy," Journal of Business Research, Elsevier, vol. 96(C), pages 343-354.
    17. Yolande Piris & Anne-Cécile Gay, 2021. "Customer satisfaction and natural language processing," Post-Print hal-03110702, HAL.
    18. Dellarocas, Chrysanthos, 2003. "The Digitization of Word-of-mouth: Promise and Challenges of Online Feedback Mechanisms," Working papers 4296-03, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    19. Pal, Debajyoti & Zhang, Xiangmin & Siyal, Saeed, 2021. "Prohibitive factors to the acceptance of Internet of Things (IoT) technology in society: A smart-home context using a resistive modelling approach," Technology in Society, Elsevier, vol. 66(C).
    20. Zheng, Run & Li, Zhuyuan & Na, Sanggyun, 2022. "How customer engagement in the live-streaming affects purchase intention and customer acquisition, E-tailer's perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    21. Park, C Whan & Lessig, V Parker, 1977. "Students and Housewives: Differences in Susceptibility to Reference Group Influence," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 4(2), pages 102-110, Se.
    22. Ahani, Ali & Nilashi, Mehrbakhsh & Yadegaridehkordi, Elaheh & Sanzogni, Louis & Tarik, A. Rashid & Knox, Kathy & Samad, Sarminah & Ibrahim, Othman, 2019. "Revealing customers’ satisfaction and preferences through online review analysis: The case of Canary Islands hotels," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 331-343.
    23. Balta-Ozkan, Nazmiye & Davidson, Rosemary & Bicket, Martha & Whitmarsh, Lorraine, 2013. "The development of smart homes market in the UK," Energy, Elsevier, vol. 60(C), pages 361-372.
    24. Ehrenhard, Michel & Kijl, Bjorn & Nieuwenhuis, Lambert, 2014. "Market adoption barriers of multi-stakeholder technology: Smart homes for the aging population," Technological Forecasting and Social Change, Elsevier, vol. 89(C), pages 306-315.
    25. Lucini, Filipe R. & Tonetto, Leandro M. & Fogliatto, Flavio S. & Anzanello, Michel J., 2020. "Text mining approach to explore dimensions of airline customer satisfaction using online customer reviews," Journal of Air Transport Management, Elsevier, vol. 83(C).
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