THE DIGITAL SHIFT: EVOLVING INSURANCE LANDSCAPE AND CONSUMER-CENTRIC DIGITALISATION AT ETIQA INSURANCE, KUALA LUMPUR, MALAYSIA

Kumaran Kanapathipillai, Nur Syukrina Binti Abu Bakar, Nor Anizah Binti Mohd Bakhari, Farah Adila Binti Mohammad Roslee

Abstract


This research aims to analyse the transformative impact of digital technologies on consumer behaviour in insurance shopping at Etiqa Insurance. This study assesses the relationships between three independent variables (mobile application utilisation, digitalisation preferences, and digitalisation adaptation) and their influence on consumer behaviour. The Technology Acceptance Model (TAM) was used as a theoretical framework to investigate how individuals participate in digital consumerism for insurance purposes. This quantitative study was undertaken using the stratified random sampling method. A total of 400 responses provided the data for this research. This study has uncovered the complex patterns behind consumers' behaviour when purchasing insurance through digital technology. This study reveals strong positive relationships between the independent variables and consumer behaviour. This highlights the fact that significant technical shifts are influencing the way consumers experience and feel satisfied with the insurance they buy. However, the research also identifies challenges like privacy concerns and the potential for option overload, which could limit the full potential of digitalization. Furthermore, this study provides empirical information that sparks academic debate and proposes ways to enhance digitalisation in the insurance industry. This gives novel insights for both scholars and practitioners. Moreover, this study addresses the current gaps in the literature and provides guidance to Etiqa Insurance and similar companies on how to optimise their digital strategies to align with customer preferences. This is crucial for enhancing overall customer satisfaction and fostering loyalty among clients who use digital channels for insurance purchases.

 

Article visualizations:

Hit counter


Keywords


mobile applications utilisation, digitalisation preferences, digitalisation adaptation, consumer behaviour, insurance industry

Full Text:

PDF

References


Adam, M., Wessel, M., & Benlian, A. (2020). AI-based chatbots in customer service and their effects on user compliance. Electronic Markets, 31(2), 427–445. https://doi.org/10.1007/s12525-020-00414-7

Adunchezor, O. R. (2021). Analysis of a shift in the business environment and post-covid-19 consumer behaviour (a case study of residents in Lagos, Nigeria). Texila International Journal of Management, 7(2), 147-157. https://doi.org/10.21522/tijmg.2015.07.02.art013

Ahmad, A., & Hadi, U. N. (2020). Digitization on Consumer Buying Behavior with Respect to Consumer Demographic Factors. Foundation University Journal of Business & Economics, 5(1), 13–33. https://doi.org/10.33897/fujbe.v5i1.144

Ahmed, S. (2023). The impact of personalization on customer loyalty and retention. ResearchGate.https://www.researchgate.net/publication/367128795_The_Impact_of_Personalization_on_Customer_Loyalty_and_Retention

Akinlo, T. (2021). Information technology and insurance development in Sub-Saharan Africa. Information Development, 39(1), 169-183. https://doi.org/10.1177/02666669211028960

Al-Bashayreh, M., Almajali, D., Altamimi, A., Masa’deh, R., & Al-Okaily, M. (2022). An Empirical Investigation of Reasons Influencing Student Acceptance and Rejection of Mobile Learning Apps Usage. Sustainability, 14(7), 4325. https://doi.org/10.3390/su14074325

Allen, R. (2023). The Technology Acceptance Model: Smart Insights. Smart Insights. https://www.smartinsights.com/manage-digital-transformation/digital-transformation-strategy/digital-marketing-models-technology-acceptance-model/

Anna, S. (2020). Consumer Behaviour of “Young Adults” as a Determinant of the Development of Product Innovation. ResearchGate. https://www.researchgate.net/publication/340536078_Consumer_Behaviour_of_Young_Adults_as_a_Determinant_of_the_Development_of_Product_Innovation

Baranauskas, G. (2022). Digital and Customizable Insurance: Empirical Findings and Validation of Behavioral Patterns, Influential Factors, and Decision-Making Framework of Baltic Insurance Consumers in Digital Platforms. Intelligent Systems in Digital Transformation, 397–426. https://doi.org/10.1007/978-3-031-16598-617

Baranauskas, G., & Raišienė, A. G. (2021). Reflections on the Customer Decision-Making Process in the Digital Insurance Platforms: An Empirical Study of the Baltic Market. Applied Sciences, 11(18), 8524. https://doi.org/10.3390/app11188524

Blakesley, I. R., & Yallop, A. C. (2019). What do you know about me? digital privacy and online data sharing in the UK insurance sector. Journal of Information, Communication and Ethics in Society, 18(2), 281-303. https://doi.org/10.1108/jices-04-2019-0046

Bohnert, A., Fritzsche, A., & Gregor, S. (2019). Digital agendas in the insurance industry: the importance of comprehensive approaches†. The Geneva Papers on Risk and Insurance. Issues and Practice, 44(1), 1–19. https://doi.org/10.1057/s41288-018-0109-0

Breuer, R., Fanderl, H., Hedwig, M., & Meuer, M. (2020). Retailers’ ever-more tailored online experiences continue to define new norms, carrying consumers’ expectations for other sectors along with them. Mckinsey. https://www.mckinsey.com

Chao, C. (2019). Factors determining the behavioral intention to use Mobile Learning: an application and extension of the UTAUT model. Frontiers in Psychology, 10. https://doi.org/10.3389/fpsyg.2019.01652

Chiguvi, D., Marozwa, M., & Zhou, N. (2023). Assessment of the effect of resource allocation on digital transformation in the Zimbabwean life insurance industry. International Journal of Research in Business and Social Science, 12(1), 174-178. https://doi.org/10.20525/ijrbs.v12i1.2307

Chinna, K. & Yuen, C. W. (2015). Statistical Analysis Using SPSS. (2nd ed.). Pearson Malaysia.

DOSM. (2023). Department of Statistics Malaysia. Media Statement for Current Population Estimates, Malaysia, 2023. Malaysia registered 2.1 per cent population growth led by international migration. https://www.dosm.gov.my/uploads/release-content/file_20230731113553.pdf

Desikan, J., & Devi, A. (2021). Digital transformation in Indian insurance industry – a case study. International Journal of Case Studies in Business, IT, and Education, 184-196. https://doi.org/10.47992/ijcsbe.2581.6942.0128

Dinsmore, J. B., Swani, K., & Dugan, R. (2017). To “free” or not to “free”: trait predictors of mobile app purchasing tendencies. Psychology &Amp; Marketing, 34(2), 227-244. https://doi.org/10.1002/mar.20985

Dwivedi, Y. K., Ismagilova, E., Hughes, D. L., Carlson, J., Filieri, R., Jacobson, J., Jain, V., Karjaluoto, H., Kéfi, H., Krishen, A. S., Kumar, V., Rahman, M. M., Raman, R., Rauschnabel, P. A., Rowley, J., Salo, J., Tran, G. A., & Wang, Y. (2021). Setting the future of digital and social media marketing research: Perspectives and research propositions. International Journal of Information Management. https://doi.org/10.1016/j.ijinfomgt.2020.102168

Eckert, C., & Osterrieder, K. (2020). How digitalization affects insurance companies: overview and use cases of digital technologies. Zeitschrift Für Die Gesamte Versicherungswissenschaft, 109(5), 333–360. https://doi.org/10.1007/s12297-020-00475-9

Fan, Y., Tu, Z., Li, T., Cao, H., Xia, T., Li, Y., Chen, X., & Zhang, L. (2020). Understanding the Long-Term Dynamics of Mobile App Usage Context via Graph Embedding. IEEE Transactions on Knowledge and Data Engineering, 35(3), 3180-3194. https://doi.org/10.1109/TKDE.2021.3110141

Fuentes, C. (2019). Smart consumers come undone: breakdowns in the process of digital agencing. Journal of Marketing Management, 35(15-16), 1542-1562. https://doi.org/10.1080/0267257x.2019.1686050

Gansser, O., & Schultz, C. D. (2020). Perception of Digitalization across a Typology of Consumer Behavior: An Abstract. In Developments in marketing science: proceedings of the Academy of Marketing Science. 305–306. https://doi.org/10.1007/978-3-030-42545-6_97

Ghazali, E. M., Mutum, D. S., Chong, J. H., & Nguyen, B. (2018). Do consumers want mobile commerce? a closer look at m-shopping and technology adoption in Malaysia. Asia Pacific Journal of Marketing and Logistics, 30(4), 1064-1086. https://doi.org/10.1108/apjml-05-2017-0093

Gowanit, C., Thawesaengskulthai, N., Sophatsathit, P., & Chaiyawat, T. (2016). Mobile claim management adoption in emerging insurance markets. International Journal of Bank Marketing, 34(1), 110-130. https://doi.org/10.1108/ijbm-04-2015-0063

Gravetter, F. & Wallnau, L. (2014). Essentials of Statistics for the Behavioural Sciences. (8th ed.), Belmont, CA: Wadsworth.

Hammami, H. (2023). The Impact of Mobile Advertising on Consumer’s Behavior. Academy of Marketing Studies Journal, 27 (6). https://www.abacademies.org/articles/the-impact-of-mobile-advertising-on-consumers-behaviour.pdf

Heinberg, M., Katsikeas, C. S., Ozkaya, H. E., & Taube, M. (2019). How nostalgic brand positioning shapes brand equity: differences between emerging and developed markets. Journal of the Academy of Marketing Science, 48(5), 869–890. https://doi.org/10.1007/s11747-019-00637-x

Infantino, M. (2022). Big data analytics, insurtech and consumer contracts: a European appraisal. European Review of Private Law, 30(4), 613-634. https://doi.org/10.54648/erpl2022030

Kamath, G.B., Sriram, K.V., & Namitha, K.P., Villace, T. (2021). Social media advertisements and their impact on consumer purchase intention. Cogent Business & Management, 8(1). https://doi.org/10.1080/23311975.2021.2000697

Kanapathipillai, K., & Kumaran, S. (2022). The mediating effect of relationship marketing strategy between digital marketing strategy and consumers’ purchase decisions in the automotive industry in malaysia. European Journal of Management and Marketing Studies, 7(2). https://doi.org/10.46827/ejmms.v7i2.1205

Kanapathipillai, K., Ahmad Nabil Bin Shari., Muhamad Farid Bin Muhamad Ajmain., & Nur Syuhada Binti Abdul Rahman. (2023). Navigating the digital shift: How acceptance factors shape Malaysia's banking evolution. European Journal of Management and Marketing Studies, 8(3). http://dx.doi.org/10.46827/ejmms.v8i3.1547

Kiely, T. (2024). What Are Consumer Insights? Meaning, Examples, Strategy. Meltwater. https://www.meltwater.com/en/blog/what-are-consumer-insights

Kotler, P., Keller, K. L., Brady, M., Goodman, M., & Hansen, T. (2020). Marketing Management. Pearson.

Krejcie, R., & Morgan, D. (1970). Determining sample size for research activities. Educational & Psychological Measurement.

Lawal, O., & Binuyo, G. (2022). Digital marketing and its effect on consumer behaviour: a case study of the Nigerian Telecoms. International Journal of Communication and Information Technology, 3(1), 41-47. https://doi.org/10.33545/2707661x.2022.v3.i1a.45

Lee, C., Tsao, C., & Chang, W. (2015). The relationship between attitude toward using and customer satisfaction with mobile application services. Journal of Enterprise Information Management, 28(5), 680-697. https://doi.org/10.1108/jeim-07-2014-0077

Lei, T. H., & Kot, R. (2019). Mobile app usage and its implications on consumer behaviour toward consumer goods. Poznan University of Technology, Faculty of Engineering Management. file:///C:/Users/00138665/Downloads/Mobile_app_usage_and_its_implicatio%20(1).pdf

Leon, S. (2018). Service mobile apps: a millennial generation perspective. Industrial Management &Amp; Data Systems, 118(9), 1837-1860. https://doi.org/10.1108/imds-10-2017-0479

Lim, W. M., Kumar, S., Pandey, N., Verma, D., & Kumar, D. (2022). Evolution and trends in consumer behaviour: Insights from Journal of Consumer Behaviour. Journal of Consumer Behaviour, 22(1), 217–232. https://doi.org/10.1002/cb.2118

Lyskawa, K., Kędra, A., Klapkiv, L., & Klapkiv, Y. (2019). Digitalization in insurance companies. https://doi.org/10.3846/cibmee.2019.086

Maina, G. N., Ombati, T. O., & Robert, O. O. (2022). Mobile technology and dissemination of information in the kenyan insurance industry. Intelligent Information Management, 14(04), 105-118. https://doi.org/10.4236/iim.2022.144008

MCMC. (2022). Malaysian Communications and Multimedia Commission. Internet User Survey 2022 (“IUS 2022”), ISSN 1823-2523. https://www.mcmc.gov.my/skmmgovmy/media/General/IUS-2022.pdf

Maria, Z. R. (2020). Digitalization and Consumer Behaviour in Greek Insurance Industry. Master of Science (MSc) in Management. https://www.readkong.com/page/zinovia-maria-rodanou-digitalization-and-consumer-2760521

Marikyan, D., & Papagiannidis, S. (2023). Technology Acceptance Model: A review. In S. Papagiannidis (Ed), TheoryHub Book. Available at https://open.ncl.ac.uk/

Nakayama, M., & Leon, S. (2022). Demystifying the communication-driven usefulness hypothesis. International Journal of Healthcare Information Systems and Informatics, 14(4), 1-17. https://doi.org/10.4018/ijhisi.2019100104

Nguyen, X. N. (2023). The impact of technology on the general insurance sector’s organizational customers’ perception of value. International Journal of Business Ecosystem & Strategy, 5(2), 21–36. https://doi.org/10.36096/ijbes.v5i2.410

Pham, Q. T., Nguyen, H. N. D., Misra, S., & Misra, A. (2022). Investigating factors for using insurance apps by customers: a study of a developing country. Journal of Banking and Financial Technology, 6(2), 149–157. https://doi.org/10.1007/s42786-022-00046-9

Pobee, F. (2021). Non-probabilistic approach to e-banking adoption: the moderating impact of trialability. Management and Labour Studies, 2(47), 183-198. https://doi.org/10.1177/0258042x211054248

Rejikumar, G., Sreedharan, V., & Saha, R. (2019). An integrated framework for service quality, choice overload, customer involvement and satisfaction. Management Decision, 59(4), 801-828. https://doi.org/10.1108/md-12-2018-1354

Saik, M. (2020). Mobile application guide for the insurance industry. Future Mind. https://www.futuremind.com/en/insights/mobile-application-guide-insurance industry/

Sarkar, S., Khare, A., & Sadachar, A. (2020). Influence of consumer decision-making styles on use of mobile shopping applications. Benchmarking: An International Journal, 27(1), 1–20. https://doi.org/10.1108/bij-07-2018-0208

Saura, J. R., Menendez, A. R., Matos, N., & Correia, M. (2020). Consumer Behaviour in the Digital Age. Journal of Spatial and Organization Dynamics, VIII(3). https://www.researchgate.net/publication/344433621_Consumer_Behavior_in_the_Digital_Age

Schiffman, L. G., & Kanuk, L. L. (2019). Consumer Behavior. Pearson.

Schiffmann, O., Hicks, B., Nassehi, A., Gopsill, J., & Valero, M. (2023). A cost–benefit analysis simulation for the digitalisation of cold supply chains. Sensors, 23(8), 4147. https://doi.org/10.3390/s23084147

Segel, L. H. (2020). The consumer sector in 2020 and beyond (1st ed.). Mckinsey. https://www.mckinsey.com/industries/retail/our-insights/the-consumer-sector-in-2020-and-beyond

Sharma, K., Sarathamani, T., Bhougal, S., & Singh, H. (2021). Smartphone-induced behaviour: utilisation, benefits, nomophobic behaviour and perceived risks. Journal of Creative Communications, 17(3), 336–356. https://doi.org/10.1177/0973258620979519

Slaba, M. (2019). The of age on the customers buying behaviour and attitude to price. Littera Scripta. https://doi.org/10.36708/littera_scripta2019/2/11

Smith, A. N., & Brynjarsdóttir, H. (2020). The Oxford Handbook of Consumption. Oxford University Press.

Solomon, M. R. (2019). Consumer Behavior: Buying, Having, and Being. Pearson.

Sun, X., Pelet, J.-É., Dai, S., & Ma, Y. (2023). The Effects of Trust, Perceived Risk, Innovativeness, and Deal Proneness on Consumers’ Purchasing Behavior in the Livestreaming Social Commerce Context. Sustainability, 15, 16320. https://doi.org/10.3390/su152316320

Talonen, A., Mähönen, J., Koskinen, L., & Kuoppakangas, P. (2021). Analysis of consumers’ negative perceptions of health tracking in insurance – A value sacrifice approach. Journal of Information, Communication and Ethics in Society, 19(4), 463-479. https://doi.org/10.1108/jices-05-2020-0061

Tong, L., Xia, T., Wang, H., Tu, Z., Tarkoma, S., Han, Z., & Hui, P. (2022). Smartphone App Usage Analysis: Datasets, Methods, and Applications. IEEE Communications Surveys & Tutorials, 24(2), 937-966. https://doi.org/10.1109/COMST.2022.3163176

Vahdat, A., Alizadeh, A., Quach, S., & Hamelin, N. (2020). Would you like to shop via mobile app technology? the technology acceptance model, social factors and purchase intention. Australasian Marketing Journal, 29(2), 187-197. https://doi.org/10.1016/j.ausmj.2020.01.002

Vijayanand, N., Sundar, G., Rathore, A., Rawal, P., Loya, A., & Sucharitha, Y. (2022). Empirical study of consumer behaviour in the health insurance sector. International Journal of Health Sciences, 9861-9875. https://doi.org/10.53730/ijhs.v6ns3.8357

Wang, X. and Ven, W. P. v. d. (2012). The level of consumer information about health insurance in Nanjing, China. The International Journal of Health Planning and Management, 29(2), 175-196. https://doi.org/10.1002/hpm.2138

Widyatmoko, W. (2022). Development of marketing strategy through social media impact on consumer behavior in the digital era. Proceeding of the International Conference on Economics and Business, 1(1), 112-120. https://doi.org/10.55606/iceb.v1i1.196

Wohllebe, A., Dirrler, P., & Podruzsik, S. (2020). Mobile apps in retail: determinants of consumer acceptance – a systematic review. International Journal of Interactive Mobile Technologies (iJIM), 14(20), 153. https://doi.org/10.3991/ijim.v14i20.18273

Zolkepli, I. A., Mukhiar, S. N. S., & Tan, C. (2020). Mobile consumer behaviour on apps usage: The effects of perceived values, rating, and cost. Journal of Marketing Communications, 27(6), 571–593. https://doi.org/10.1080/13527266.2020.1749108




DOI: http://dx.doi.org/10.46827/ejmms.v9i2.1806

Refbacks

  • There are currently no refbacks.


Copyright (c) 2024 Kumaran Kanapathipillai, Nur Syukrina Binti Abu Bakar, Nor Anizah Binti Mohd Bakhari, Farah Adila Binti Mohammad Roslee

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

The research works published in this journal are free to be accessed. They can be shared (copied and redistributed in any medium or format) and\or adapted (remixed, transformed, and built upon the material for any purpose, commercially and\or not commercially) under the following terms: attribution (appropriate credit must be given indicating original authors, research work name and publication name mentioning if changes were made) and without adding additional restrictions (without restricting others from doing anything the actual license permits). Authors retain the full copyright of their published research works and cannot revoke these freedoms as long as the license terms are followed.

Copyright © 2017-2023. European Journal of Management and Marketing Studies (ISSN 2501 - 9988) is a registered trademark of Open Access Publishing GroupAll rights reserved.

This journal is a serial publication uniquely identified by an International Standard Serial Number (ISSN) serial number certificate issued by Romanian National Library. All the research works are uniquely identified by a CrossRef DOI digital object identifier supplied by indexing and repository platforms. All the research works published on this journal are meeting the Open Access Publishing requirements and standards formulated by Budapest Open Access Initiative (2002), the Bethesda Statement on Open Access Publishing (2003) and  Berlin Declaration on Open Access to Knowledge in the Sciences and Humanities (2003) and can be freely accessed, shared, modified, distributed and used in educational, commercial and non-commercial purposes under a Creative Commons Attribution 4.0 International License. Copyrights of the published research works are retained by authors.