Beyond usability: innovation in the digital age as an antidote to social isolation

Authors

DOI:

https://doi.org/10.5585/2024.26088

Keywords:

innovative consumption, diffusion of innovation, digital platform

Abstract

The study's objective: The article aims to evaluate the impact of life satisfaction during the COVID-19 pandemic in Brazil, considering the perception of usability of intelligent personal assistants (IPAs) and investigating possible moderations of consumer innovation dimensions in this relationship.

Methodology/Approach: Field research was carried out with 515 users of intelligent personal assistants (IPAs). The results were analyzed using multiple linear regression, using the SPSS software (Statistical Package for Social Science v.22), with the application of the PROCESS macro.

Originality/Relevance: This study contributes to filling a gap in the literature on the diffusion of innovation and adoption of technological products by investigating aspects of innovative consumption in a pandemic and social isolation scenario.

Main Results: The research results indicate that domain-specific innovativeness (DSI) moderates the relationship between usability (SUS) and life satisfaction (LS). In contrast, innovativeness behavior (IB) moderates this relationship only with DSI maintained at medium and low levels. It was observed that, with greater usability, life satisfaction increases and is moderated by domain-specific innovativeness. For higher IB levels, LS increases more quickly.

Theoretical/Methodological Contributions: Integrating concepts from theories of innovative consumption and diffusion of innovations, the study offers insights into how technology affects well-being in a global crisis. This advanced approach helps understand the mechanisms underlying the impacts of usability and innovation on human behavior.

Social/Managerial Contributions: This study helps understand how IPA users can experience greater life satisfaction and social isolation during a pandemic.

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Author Biographies

Márcio de la Cruz Lui, Faculdade de Tecnologia de São Paulo - FATEC / Itatiba, São Paulo, SP

Professor and Course Coordinator at FATEC de Itatiba and Professor at na Universidade Nove de Julho (UNINOVE), Specialist in Innovation at GT Group. Faculdade de Tecnologia de Itatiba – FATEC. Itatiba, São Paulo. Brazil.

Roberto Carlos Bernardes, Fundação Educacional Inaciana Padre Saboia de Medeiros – FEI / São Paulo, SP

Professor of the Postgraduate Program in Business Administration at Fundação Educacional Inaciana Padre Saboia de Medeiros – FEI. Fundação Educacional Inaciana Padre Saboia de Medeiros – FEI. São Paulo, São Paulo, Brazil.

Mauro José de Oliveira, Fundação Educacional Inaciana Padre Saboia de Medeiros – FEI / São Paulo, SP

Visiting Professor of the Postgraduate Program in Business Administration at Fundação Educacional Inaciana Padre Saboia de Medeiros – FEI. Fundação Educacional Inaciana Padre Saboia de Medeiros – FEI. São Paulo, São Paulo, Brazil

Cameron Sumlin, University of Louisiana at Monroe / LA - United States

Professor at University of Louisiana Monroe College of Business. University of Louisiana Monroe 700 University Avenue Monroe, LA 71209 318.342.1000

References

Agostino, D., Arnboldi, M., Lema, M., (2020), New development: COVID-19 as an accelerator of digital transformation in public service delivery. Public Money & Management, 1-4. https://doi.org/10.1080/09540962.2020.1764206

Ali., I. (2018). Personality traits, individual innovativeness, and satisfaction with life. Journal of Innovation & Knowledge, 4(1), 38–46. https://doi.org/10.1016/j.jik.2017.11.002

Alkhwaldi, A. F., Alobidyeen, B., Abdulmuhsin, A. A., & Al-Okaily, M. (2022). Investigating the antecedents of HRIS adoption in public sector organizations: integration of UTAUT and TTF. International Journal of Organizational Analysis, (ahead-of-print). https://doi.org/10.1108/IJOA-04-2022-3228

Andre, Q., Carmon, Z., Wertenbroch, K., Crum, A., Frank, D., Goldstein, W., Huber, J., Van Boven, L., Weber, B. and Yang, H. (2018). Consumer choice and autonomy in the age of artificial intelligence and big data. Customer Needs and Solutions, 5(1-2), 28-37. intelligence and big data. Customer Needs and Solutions, 5(1-2), 28-37. https://doi.org/10.1007/s40547-017-0085-8

Bankskota, S., Healy, M., and Goldberg, E.M. (2020). 15 Smartphone Apps for Older Adults to Use While in Isolation During the COVID-19 Pandemic. Western Journal of Emergency Medicine, 21(3), 514. https://doi.org/10.5811/westjem.2020.4.47372

Bargas-Avila, J.A. and Hornbæk, K. (2011). Old wine in new bottles or novel challenges: A critical analysis of empirical studies of user experience. In Proceedings of the SIGCHI conference on human factors in computing systems, 2689-2698. https://doi.org/10.1145/1978942.1979336

Bogers, T., Al-Basri, A.A.A., Rytlig, C.O., Møller, M.E.B., Rasmussen, M.J., Michelsen, N.K.B. and Jørgensen, S.G. (2019). A study of usage and usability of intelligent personal assistants in Denmark. International Conference on Information. Springer, Cham, 79-90. https://doi.org/10.1007/978-3-030-15742-5_7

Boulding, W., Morgan, R., & Staelin, R. (1997). Pulling New the Plug to Drain Stop the Product. Journal of Marketing Research, 34, 164–176. https://doi.org/10.2307/3152073

Brandt, Å., Hansen, E. M., & Christensen, J. R. (2020). The effects of assistive technology service delivery processes and factors associated with positive outcomes–a systematic review. Disability and Rehabilitation: Assistive Technology, 15(5), 590-603. https://doi.org/10.1080/17483107.2019.1682067

Brooke, J. (1996). SUS-A quick and dirty usability scale. Usability Evaluation in Industry, 189(194), 4–7. https://doi.org/10.1201/9781498710411

Brough, A.R., Martin, K.D. (2020). Consumer Privacy During (and After) the COVID-19 Pandemic. Journal of Public Policy & Marketing, 40(1), 108–110. https://doi.org/10.1177/0743915620929999

Chakrabarti, S., and Baisya, R. K. (2009). Purchase of organic food: role of consumer innovativeness and personal influence related constructs. IIMB Management Review, 21(1), 18-29.

Chung, I. H. and Cho, Y. J. (2018). Effects of innate innovativeness and product interest on product-specific consumer innovativeness. Family and Environment Research, 56(2), 167-174. https://doi.org/10.6115/fer.2018.013

Clark, L.et al. (2019). The state of speech in HCI: Trends, themes and challenges. Interacting with Computers, 31(4), 349–371. https://doi.org/10.1093/iwc/iwz016

Cowan, B.R., Pantidi, N., Coyle, D., Morrissey, K., Clarke, P., Al-Shehri, S., Earley, D. & Bandeira, N. (2017). What can I help you with? Infrequent users’ experiences of intelligent personal assistants. In Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services, 1–12. https://doi.org/10.1145/3098279.3098539

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008

Dendrinos, K., & Spais, G. (2023). An investigation of selected UTAUT constructs and consumption values of Gen Z and Gen X for mobile banking services and behavioral intentions to facilitate the adoption of mobile apps. Journal of Marketing Analytics, 1-31. https://doi.org/10.1057/s41270-023-00271-1

Dickerson, M. D. & Gentry, J. W. (2002). Characteristics of Adopters and Non-Adopters of Home Computers. Journal of Consumer Research, 10(2), 225. https://doi.org/10.1086/208961

Diener, E. D., Emmons, R. A., Larsen, R. J., & Griffin, S. (1985). The satisfaction with life scale. Journal of Personality Assessment, 49(1), 71-75. https://doi.org/10.1207/s15327752jpa4901_13

Dourado, M. A. D. (2018). Usability heuristics for mobile applications: a systematic review. In Proceedings of the 20th International Conference on Enterprise Information Systems ICEIS 2018, 483-494. https://doi.org/10.5220/0006781404830494

Drew, M. R., Falcone, B. & Baccus, W. L. (2018). What does the system usability scale (SUS) measure?. International Conference of Design, User Experience, and Usability. Springer, Cham, 356-366. https://doi.org/10.1007/978-3-319-91797-9_25

Foxall, G. R. (1988). Consumer innovativeness: novelty-seeking, creativity, and cognitive style. Research in Consumer Behavior, 3, 79–113.

Foxall, G. R. (1995). Cognitive styles of consumer initiators. Technovation, 15(5), 269–288. https://doi.org/10.1016/0166-4972(95)96600-X

Goldenberg, J., Lehmann, D. R., and Mazursky, D. (2001). The idea itself and the circumstances of its emergence as predictors of new product success. Management Science, 47(1), 69–84, 2001. https://doi.org/10.1287/mnsc.47.1.69.10670

Goldschmidt, K. (2020). The COVID-19 pandemic: Technology used to support the well-being of children. Journal of Pediatric Nursing, 53, 88. https://doi.org/10.1016/j.pedn.2020.04.013

Goldsmith, R. E. (2012). New developments in the diffusion of innovations. In Foxall, G., & Wells, V. (Eds.), Handbook of new developments in consumer behavior, 246–282. Edward Elgar. http://dx.doi.org/10.4337/9781849802444.00014

Goldsmith, R. E., & Foxall, G. R. (2003). The Measurement of Innovativeness. In Shavinina, L. (Ed.), The International Handbook on Innovation, 321–330. Elsevier Science.

Goldsmith, R. E., Freiden, J.B., & Eastman, J. K. (1995). The generality/specificity issue in consumer innovativeness research. Technovation, 15(10), 601–612. https://doi.org/10.1016/0166-4972(95)99328-D

Goldsmith, E. R. and Hofacker, F. C. (1991). Measuring Consumer Innovativeness. Journal of the Academy of Marketing Science, 19(3), 209. https://doi.org/10.1007/BF02726497

Goyal, S., Pillai, A., and Chauhan, S. (2021). E-governance using mobile applications: A case study of India during the COVID-19 pandemic. Australasian Journal of Information Systems, 25, 1–28. https://doi.org/10.3127/ajis.v25i0.3129

Hair, Joseph F. et al. (2009), Multivariate Data Analysis, 6 ed. New York: Pearson College Div.

Hauser, J., Tellis, G. J. & Griffin, A. (2006). Research on Innovation: A Review and Agenda for Marketing Science. Marketing Science, 25(6), 687–717. https://doi.org/10.1287/mksc.1050.0144

Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. Guilford publications.

Hayes, A. F. (2012). PROCESS: A versatile computational tool for observed variable mediation, moderation, and conditional process modeling.

Hayes-Roth, B. & Thorndyke, P. W. (1985). Paradigms for intelligent systems. Educational Psychologist, 20(4), 231–241.

Hirschman, E. C. (1980). Innovativeness, Novelty Seeking, and Consumer Creativity. Journal of Consumer Research, 7(3), 283. https://doi.org/10.1086/208816

Hoffmann, H.-J. (2003). Jesse James Garrett: The elements of user experience-user-centered design for the Web. I-com, 2(1), 44–44. https://doi.org/10.1524/icom.2.1.44.19040

Holak, S., and Lehmann, D. R. (2002). Purchase intentions and the dimensions of innovation: An exploratory model. Journal of Product Innovation Management, 7(1), 59–73.

Hsieh, Sara H. and Lee, Crystal T. (2021). Hey Alexa: examining the effect of

perceived socialness in usage intentions of AI assistant-enabled smart speaker. Journal of Research in Interactive Marketing, 15(2), 267-294. https://doi.org/10.1108/JRIM-11-2019-0179

Hultink, E. J., Hart, S., Robben, H.S., and Griffin, A. (2000). Launch decisions and new product success: an empirical comparison of consumer and industrial products. Journal of Product Innovation Management: An international publication of the Product Development & Management Association, 17(1), 5–23. https://doi.org/10.1111/1540-5885.1710005

Hussain, S. & Rashidi, M. Z. (2017). Consumer innovativeness leading to innovation adoption. Pakistan Business Review, 17(3), 562–580.

Im, S., Bayus, B. L., and Mason, C. H. (2003). An empirical study of innate consumer innovativeness, personal characteristics, and new-product adoption behavior. Journal of the Academy of Marketing Science, 31(1), 61–73. https://doi.org/10.1177/0092070302238602

Im, S., Mason, C. H., & Houston, M. B. (2007). Does innate consumer innovativeness relate to new product/service adoption behavior? The intervening role of social learning via vicarious innovativeness. Journal of the Academy of Marketing Science, 35(1), 63–75. https://doi.org/10.1007/s11747-006-0007-z

Jeong, S. C.. Kim, S.H., Park, J.Y. and Choi, B. (2017), Domain-specific innovativeness, and new product adoption: A case of wearable devices. Telematics and Informatics, 34(5), 399–412. https://doi.org/10.1016/j.tele.2016.09.001

Jordan, M. I. (2019). Artificial intelligence—the revolution hasn’t happened yet. Harvard Data Science Review, 1(1). https://doi.org/10.1162/99608f92.f06c6e61

Kaushik, A. K. and Rahman, Z. (2014). Perspectives and dimensions of consumer innovativeness: A literature review and future agenda. Journal of International Consumer Marketing, 26(3), 239-263. https://doi.org/10.1080/08961530.2014.893150

Kim, R. Y. (2020). The Impact of COVID-19 on Consumers: Preparing for Digital Sales. IEEE Engineering Management Review, 48(3), 212–218. https://doi.org/10.1109/EMR.2020.2990115

Kim, W., DI, BENEDETTO, C. A. and Hunt, J. M. (2017). Consumer innovativeness and international consumer behavior: Comments and extensions. Journal of Global Scholars of Marketing Science, 27(3), 184-194. https://doi.org/10.1080/21639159.2017.1318668

Kujala, S. and Miron-Shatz, T. (2013). Emotions, experiences, and usability in real-life mobile phone use. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 1061-1070. https://doi.org/10.1145/2470654.2466135

Ladeira, W., De Santini, F.O., Sampaio, C.H. & Araujo, C.F. (2016). Experiential value and domain-specific innovativeness during freemium game usage: effects on child well-being. Young Consumers, 17(1), 64-77. https://doi.org/10.1108/YC-07-2015-00538

Law, E. LC and Van Schaik, P. (2010), Modelling user experience – An agenda for research and practice. Interacting with Computers, 22(5), 313-322. https://doi.org/10.1016/j.intcom.2010.04.006

Leavitt, C. & Walton, J. (1975). Development of a scale for innovativeness. SCHLINGER, M. J.; ARBOR, A. (ed.). North American Advances in Consumer Research. Chicago: Leo Burnett Company, 2, 545–554.

Lewis, J. R. (2018). Measuring perceived usability: The CSUQ, SUS, and UMUX. International Journal of Human-Computer Interaction, 34(12), 1148–1156. https://doi.org/10.1080/10447318.2017.1418805

Li, B., Wu, Y., Hao, Z., Yan, X. and Chen, B. (2019). The effects of trust on life satisfaction in the context of WeChat use. Telematics and Informatics, 42, 101241. https://doi.org/10.1016/j.tele.2019.101241

Li, S. Wang, Y, Xue, J, Zhao, N and Zhu, T. (2020). The impact of COVID-19 epidemic declaration on psychological consequences: a study on active Weibo users. International Journal of Environmental Research and Public Health, 17(6). https://doi.org/10.3390/ijerph17062032

Lopez, G., Quesada, L., Guerrero, L. A. (2017). Alexa vs. Siri vs. Cortana vs. Google Assistant: a comparison of speech-based natural user interfaces. International Conference on Applied Human Factors and Ergonomics. Springer, Cham, 241-250. https://doi.org/10.1007/978-3-319-60366-7_23

Lotera, C., Nica, A. S., and Mitoiu, I. B. (2019). Relearning Life: A Study on Learning Experience and Life Satisfaction while Recovering. The International Scientific Conference eLearning and Software for Education. “Carol I” National Defense University, 2019 495-500. https://doi.org/10.12753/2066-026X-19-065

Lui, M.D.L.C, De Oliveira, M., Bernardes, R. C., Borini, F. M., & Rodrigo, P. (2022). Moderation of the Dimensions of Innovativeness in the Usability of Services Based on Intelligent Personal Assistants. International Journal of Innovation and Technology Management, 19(05), 2241009. https://doi.org/10.1142/S0219877022410097

McMahan, C., Hovland, R. & McMillan, S. (2009). Online marketing communications: Exploring online consumer behavior by examining gender differences and interactivity within internet advertising. Journal of Interactive Advertising, 10(1), 61–76. https://doi.org/10.1080/15252019.2009.10722163

Mansori, S., Sambasivan, M. and Md-Sidin, S. (2015), acceptance of novel products: The role of religiosity, ethnicity, and values. Marketing Intelligence and Planning, 33(1), 39–66. https://doi.org/10.1108/MIP-03-2013-0050)

Martin, C., Aldea, A., Duce, D., Harrison, R., & Alshaigy, B. (2018). The Role of Usability Engineering in the Development of an Intelligent Decision Support System. International Workshop on Artificial Intelligence in Health. Springer, Cham. 142–161. https://doi.org/10.1007/978-3-030-12738-1_11

Mehr, H., Ash, H. and Fellow, D. (2017). Artificial intelligence for citizen services and government. Ash Cent. Democr. Gov. Innov. Harvard Kennedy Sch., August, 1-12.

Midgley, D. F. & Dowling, G. R. (1978). Innovativeness: The Concept and Its Measurement. Journal of Consumer Research, 4(4), 229. https://doi.org/10.1086/208701

Midgley, D.F. & Dowling, G.R. (1993). Longitudinal Study of Product Form Innovation: The Interaction between Predispositions and Social Messages. Journal of Consumer Research, 19(4), 611. https://doi.org/10.1086/209326

Miner, A.S., Laranjo, L. and Kocaballi, A. B. (2020). Chatbots in the fight against the COVID-19 pandemic. NPJ Digital Medicine, 3(1), 1-4. https://doi.org/10.1038/s41746-020-0280-0

Neckel, A. and Boeing, R. (2017). Relation between Consumer Innovativeness Behavior and Purchasing Adoption Process: A Study with Electronics Sold Online. International Journal of Marketing Studies, 9(3), 64–75. http://doi.org/10.5539/ijms.v9n3p64

Oesterreich, T. D., Anton, E., Schuir, J., Brehm, A., & Teuteberg, F. (2023). How can I help you? Design principles for task-oriented speech dialog systems in customer service. Information Systems and e-Business Management, 21(1), 37-79. https://doi.org/10.1007/s10257-022-00570-7

Paesano, A. (2023). Artificial intelligence and creative activities inside organizational behavior. International Journal of Organizational Analysis, 31(5), 1694-1723. https://doi.org/10.1108/IJOA-09-2020-2421

Park, C., & Jun, J. K. (2003). A cross‐cultural comparison of Internet buying behavior: Effects of Internet usage, perceived risks, and innovativeness. International Marketing Review, 20(5), 534-553. https://doi.org/10.1108/02651330310498771

Palacio, R. R. Acosta, C.O., Cortez, J. and Morán, A.L. (2017). Usability perception of different video game devices in elderly users. Universal Access in the Information Society, 16(1), 103–113. https://doi.org/10.1007/s10209-015-0435-y

Patchunka, C. (2018). Netflix Killed the Cable TV Star: Cable TV Is Definitionally Disadvantaged for Use of Artificial Intelligence. Fed. Comm. LJ, 71, 275.

Peters, D., Calvo, R. A. and Ryan, R. M. (2018). Designing for motivation, engagement, and well-being in digital experience. Frontiers in Psychology, 9, 797. https://doi.org/10.3389/fpsyg.2018.00797

Riedl, R., Stieninger, M., Muehlburger, M., Koch, S., & Hess, T. (2023). What is digital transformation? A survey on the perceptions of decision-makers in business. Information Systems and e-Business Management, 1-35. https://doi.org/10.1007/s10257-023-00660-0

Roehrich, G. (2004). Consumer innovativeness: Concepts and measurements. Journal of business research, 57(6), 671–677. https://doi.org/10.1016/S0148-2963(02)00311-9

Rogers, E.M. (2003). Diffusion of Innovation. 5 ed. New York: Free Press.

Satici, B., Gocet-Tekin, E., Deniz, M.E. and Satici, S.A. (2020). Adaptation of the Fear of COVID-19 Scale: Its association with psychological distress and life satisfaction in Turkey. International Journal of Mental Health and Addiction, 1–9. https://doi.org/10.1007/s11469-020-00294-0

Schwaiger, J., Hammerl, T., Florian, J., & Leist, S. (2021). UR: SMART–A tool for analyzing social media content. Information Systems and e-Business Management, 19, 1275-1320. https://doi.org/10.1007/s10257-021-00541-4

Soscia, I., Arbore, A., Hofacker, C. F. (2011), The impact of the trial on technology adoption: the case of mobile TV. Journal of Research in Interactive Marketing, 5(2/3), 226–238. https://doi.org/10.1108/17505931111187820

Steenkamp, JB E. M., Hofstede, F T. and Wedel, M. (1999), A Cross-National Investigation into the Individual and National Cultural Antecedents of Consumer Innovativeness. Journal of Marketing, 63(2), 55-69. https://doi.org/10.1177/002224299906300204

Summers, J. O. (1971). Generalized change agents and innovativeness. Journal of Marketing Research, 8(3), 313–316. https://doi.org/10.1177/002224377100800305

Vandecasteele, B. and Geuens, M. (2010). Motivated consumer innovativeness: Concept, measurement, and validation. International Journal of Research in Marketing, 27(4), 308-318. https://doi.org/10.1016/j.ijresmar.2010.08.004

Venkatesh, V. Morris, M.G., Davis, G.B. and Davis, F.D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 425-478. https://doi.org/10.2307/30036540

Venkatesh, V., Thong, J. and Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178. https://doi.org/10.2307/41410412

Wang, Y., Forbes, R., Cavigioli, C., Wang, H., Gamelas, A., Wade, A., Strassner, J., Cai, S. and Liu, S. (2018). Network management and orchestration using artificial intelligence: Overview of ETSI ENI. IEEE Communications Standards Magazine, 2(4), 58–65. https://doi.org/10.1109/MCOMSTD.2018.1800033

Zhang, S. X., Wang, Y., Rauch, A. and Wei, F. (2020). Unprecedented disruption of lives and work: Health, distress and life satisfaction of working adults in China one month into the COVID-19 outbreak. Psychiatry Research, 112958. https://doi.org/10.1016%2Fj.psychres.2020.112958

Published

19.11.2024

How to Cite

Lui, M. de la C., Bernardes, R. C., Oliveira, M. J. de, & Sumlin, C. (2024). Beyond usability: innovation in the digital age as an antidote to social isolation. International Journal of Innovation, 12(3), e26088. https://doi.org/10.5585/2024.26088

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