VOICE-ACTIVATED INNOVATIONS MODEL FOR FUTURE BUSINESSES
Article Sidebar
Main Article Content
Abstract
This research aimed to study and analyze the innovation model of voice commands for future businesses. The research was conducted using artificial intelligence in research under a human-in-the-loop framework, combined with traditional qualitative research methods to obtain more accurate and precise results. It consisted of content analysis, participatory observation, and keyword research. Methods included collecting data from big data analysis, entrepreneur websites, online communities, and participatory observation. The research tools included data recording forms combined with artificial intelligence tools such as large language models, natural language processing models, and specialized tools such as web scraping tools and keyword research tools. There was a systematic review of data, analysis and interpretation using inductive analysis and comparative event analysis, with data reliability verification using triangulation methods. The findings appeared to be in the same direction. The research results showed that the innovation model of voice commands for future businesses worked through five major applications: 1) Voice-activated customer service, 2) Voice-commanded shopping, 3) Voice-activated workplaces, 4) Voice-activated data analysis, and 5) Voice-activated marketing.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
บทความทุกเรื่องได้รับการตรวจความถูกต้องทางวิชาการโดยผู้ทรงคุณวุฒิ ทรรศนะและข้อคิดเห็นในบทความ Journal of Global of Perspectives in Humanities and Social Sciences (J-GPHSS) มิใช่เป็นทรรศนะและความคิดของผู้จัดทำจึงมิใช่ความรับผิดชอบของบัณฑิตวิทยาลัย มหาวิทยาลัยราชภัฏวไลยอลงกรณ์ ในพระบรมราชูปถัมภ์ กองบรรณาธิการไม่สงวนสิทธิ์การคัดลอก แต่ให้อ้างอิงแหล่งที่มา
References
Ahn, H. (2023). Unrevealing Voice Search Behaviors: Technology Acceptance Model Meets Anthropomorphism in Understanding Consumer Psychology in the US Market. Sustainability. 15(23), 16455.
Anjorin, K. F., Raji, M. A. & Olodo, H. B. (2024). Voice assistants and US consumer behavior: A comprehensive review: investigating the role and influence of voice-activated technologies on shopping habits and brand loyalty. International Journal of Applied Research in Social Sciences. 6(5), 861-890.
Asthana, S., Kwatra, S., Wolf, C. T., Chowdhary, P. & Nakamura, T. (2020). Human-in-the-Loop Business Modelling for Emergent External Factors. 2020 IEEE International Conference on Big Data (Big Data).
Baskoro, T. (2024). Digital Disruption: Landscape of E-Business for Competitive Advantage. Advances in Business & Industrial Marketing Research. 2(1), 1-14.
Beaman, J., Lawson, L., Keener, A. & Mathews, M. L. (2022). Within Clinic Reliability and Usability of a Voice-Based Amazon Alexa Administration of the Patient Health Questionnaire 9 (PHQ 9). Journal of Medical Systems. 46(6), 38.
Bello, R. W., Ali, A. S. & Olubummo, D. A. (2019). Virtual assistant in business: A primer. Asian Journal of Mathematical Sciences. 3(2)13-15.
Bican, P. M. & Brem, A. (2020). Digital business model, digital transformation, digital entrepreneurship: Is there a sustainable “digital”?. Sustainability. 12(13), 5239.
Bilgihan, A. & Ricci, P. (2024). The new era of hotel marketing: integrating cutting-edge technologies with core marketing principles. Journal of Hospitality and Tourism Technology. 15(1), 123-137.
Buhalis, D. & Moldavska, I. (2022). Voice assistants in hospitality: using artificial intelligence for customer service. Journal of Hospitality and Tourism Technology. 13(3), 386-403.
Canziani, B. & MacSween, S. (2021). Consumer acceptance of voice-activated smart home devices for product information seeking and online ordering. Computers in Human Behavior. 119, 106714.
Chatterjee, S. (2022). Computer Assisted Language Learning (CALL) and Mobile Assisted Language Learning (MALL); Hefty Tools for Workplace English Training: An Empirical Study. International Journal of English Learning & Teaching Skills. 4(2), 1-7.
England, A., Thompson, J., Littler, E., Tugwell-Allsup, J. & Edwards, E. (2022). Predicting the role of touchless technologies within diagnostic radiography: Results of an international survey. Radiography. 28(2), 524-530.
Favoretto, C., Mendes, G. H. D. S., Filho, M. G., Gouvea de Oliveira, M. & Ganga, G. M. D. (2022). Digital transformation of business model in manufacturing companies: challenges and research agenda. Journal of Business & Industrial Marketing. 37(4), 748-767.
Firoozeh, N., Nazarenko, A., Alizon, F. & Daille, B. (2020). Keyword extraction: Issues and methods. Natural Language Engineering. 26(3), 259-291.
Gavric, A., Bork, D. & Proper, H. A. (2024). Enriching Business Process Event Logs with Multimodal Evidence. https://model-engineering.info/publications/papers/PoEM24-Gavric.pdf.
Gupta, A. K., Midha, S. & Uniyal, V. (2022, October). Voice controlled personal assistant. In 2022 international conference on cyber resilience (ICCR) (pp. 1-3). IEEE.
Hogberg, K. & Willermark, S. (2022). Strategic responses to digital disruption in incumbent firms-a strategy-as-practice perspective. Journal of Computer Information Systems. 1-12.
Hutiri, W. T. & Ding, A. Y. (2022). Towards trustworthy edge intelligence: Insights from voice-activated services. 2022 IEEE International Conference on Services Computing (SCC).
Jangra, G. & Jangra, M. (2022). Role of Artificial Intelligence in Online Shopping and its Impact on Consumer purchasing behaviour and Decision. 2022 Second International Conference on Computer Science, Engineering and Applications (ICCSEA).
Jennifer, P. & Sofroniev, G. (2020). Exploring voice-controlled system: Services and consumer preferences towards future usage within the food industry. https://www.diva-portal.org/smash/get/diva2:1429416/FULLTEXT01.pdf.
Jitvirat, K. (2024). Ethical use of AI as a research assistant. AI Book Nexus.
Jones, V. K. (2018). Voice-activated change: Marketing in the age of artificial intelligence and virtual assistants. Journal of Brand Strategy. 7(3), 233-245.
Jones, V. K. (2019). Experiencing voice-activated artificial intelligence assistants in the home: A phenomenological approach. Doctoral dissertation, The University of Nebraska-Lincoln.
Kim, Y. G., Little, K., Noronha, B., Xiloyannis, M., Masia, L. & Accoto, D. (2020). A voice activated bi-articular exosuit for upper limb assistance during lifting tasks. Robotics and Computer-Integrated Manufacturing. 66, 101995.
Kraus, S., Durst, S., Ferreira, J. J., Veiga, P., Kailer, N. & Weinmann, A. (2022). Digital transformation in business and management research: An overview of the current status quo. International Journal of Information Management. 63, 102466.
Li, S., Yerebakan, M. O., Luo, Y., Amaba, B., Swope, W. & Hu, B. (2022). The effect of different occupational background noises on voice recognition accuracy. Journal of Computing and Information Science in Engineering. 22(5), 050905.
Lin, Q. (2023). Transformational leadership and innovative work behavior: The role of identification, voice and innovation climate. International Journal of Hospitality Management. 113, 103521.
Majrashi, K. (2022). A model for predicting user intention to use voice recognition technologies at the workplace in Saudi Arabia. International Journal of Technology and Human Interaction (IJTHI). 18(1), 1-18.
Masina, F., et al.(2020). Investigating the accessibility of voice assistants with impaired users: mixed methods study. Journal of medical Internet research. 22(9), e18431.
Mendoza, N. (2019). Robotic voice-activated word-kicking machine. In ACM SIGGRAPH 2019 Art Gallery (pp. 1-2).
Palmie, M., Miehe, L., Oghazi, P., Parida, V. & Wincent, J. (2022). The evolution of the digital service ecosystem and digital business model innovation in retail: The emergence of meta-ecosystems and the value of physical interactions. Technological Forecasting and Social Change. 177, 121496.
Pitardi, V. & Marriott, H. R. (2021). Alexa, she's not human but Unveiling the drivers of consumers' trust in voice-based artificial intelligence. Psychology & Marketing. 38(4), 626-642.
Pitardi, V. & Marriott, H. R. (2022). Challenging Vulnerability Perceptions towards Voice Activated Assistants. An Abstract. Celebrating the Past and Future of Marketing and Discovery with Social Impact: 2021 AMS Virtual Annual Conference and World Marketing Congress.
Schultheiß, S., Lewandowski, D., von Mach, S. & Yagci, N. (2023). Query sampler: generating query sets for analyzing search engines using keyword research tools. PeerJ Computer Science. 9, e1421.
Sharma, A. & Arora, S. (2022). Technology application in the tourism industry in Asia: theories and practices. In Handbook of Technology Application in Tourism in Asia (pp. 3-17). Springer.
Shetty, A., Shinde, A. & Sutar, Y. (2022). Viv-The personal voice assistant. Internation Journal for Research in Applied Science & Engineering Technology. 10(4), 1970-1972.
Singh, R. (2022). Hey Alexa-order groceries for me-the effect of consumer-VAI emotional attachment on satisfaction and repurchase intention. European Journal of Marketing. 56(6), 1684-1720.
Spachos, P., Gregori, S. & Deen, M. J. (2022). Voice activated IoT devices for healthcare: Design challenges and emerging applications. IEEE Transactions on Circuits and Systems II: Express Briefs.
Stalmachova, K., Chinoracky, R. & Strenitzerova, M. (2022). Changes in business models caused by digital transformation and the COVID-19 pandemic and possibilities of their measurement-case study. Sustainability. 14(1), 127.
Strengers, Y. & Kennedy, J. (2021). The smart wife: Why Siri, Alexa, and other smart home devices need a feminist reboot. Mit Press.
Tulshan, A. S. & Dhage, S. N. (2019). Survey on virtual assistant: Google assistant, siri, cortana, alexa. In Advances in Signal Processing and Intelligent Recognition Systems: 4th International Symposium SIRS 2018, Bangalore, India, September 19-22, 2018, Revised Selected Papers 4 (pp. 190-201). Springer Singapore.
Valtonen, L. & Makinen, S. J. (2022). Human-in-the-loop: Explainable or accurate artificial intelligence by exploiting human bias? 2022 IEEE 28th International Conference on Engineering, Technology and Innovation (ICE/ITMC) & 31st International Association for Management of Technology (IAMOT) Joint Conference,
Vives, X. (2019). Digital disruption in banking. Annual Review of Financial Economics, 11, 243-272.
Yadav, S. K. & Misra, D. K. (2023). Workplace automation for total security using voice activation and smart touch. In revolutionizing industrial automation through the convergence of artificial intelligence and the internet of things (pp. 229-247). IGI Global.
Zaridis, A. D., Soldatou, H. & Soldatou, A. I. (2019). Strategies and practices for innovation in the hospitality industry. Tourism and Travelling. 2(1), 35-44.
