Future Omnichannel Purchase Intention: A Discussion on the Perception of Risks and Benefits in the Consumption Journey
Abstract
The omnichannel approach seeks to provide customers with a unified brand experience, allowing them to move between different channels in a fluid manner. Seeking to investigate how consumers' perception of risks and benefits can impact the results of the omnichannel strategy in consumer decision-making and purchase intention, this study conducted a survey involving 153 respondents, applying the Likert scale and data analysis via SmartPLS® software. The results indicate that, rather than focusing on reducing the perception of risk, it is essential to highlight the benefits of omnichannel by making them evident to consumers, which contributes to increasing consumer confidence in adopting the strategy, with trust being a mediating element of perceived benefit. The relevance of this study lies in expanding the literature on the subject, providing perspectives and directions for future research. It also offers guidance for organizations seeking to implement omnichannel and wish to mitigate risks and maximize results by increasing customers' perception of benefits.
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Al Adwan, Ahmad Samed; & Sammour, George (2021). Evidence from Jordan: Evidence from Jordan. Journal of Theoretical and Applied Electronic Commerce Research, 16 (3), 564-583.
Alang, Tho; & Nguyen, Khoa Minh (2022). Determinants of Omnichannel Shoppers’ Perceived Value and their Shopping Intention. International Journal of Electronic Commerce Studies, 13 (2), 203-222.
Ali, M., Raza, S.A., Khamis, B., Puah, C.H. & Amin, H (2021). How perceived risk, benefit and trust determine user Fintech adoption: a new dimension for Islamic finance. Foresight, 23 (4), 403-420.
Alrawad, Mahmaod; Lutfi, Abdalwali; Alyatama, Sundus; Khattab, Adel Al; Alsoboa, Sliman S.; Almaiah, Mohammed Amin; Ramadan, Mujtaba Hashim; Arafa, Hussin Mostafa; Ahmed, Nazar Ali; Alsyouf, Adi; & Al-Khasawneh, Akif Lutfi (2023). Assessing customers perception of online shopping risks: a structural equation modeling–based multigroup analysis. Journal of Retailing and Consumer Services, Vol. 71.
Alyahya, Mansour; Agag, Gomaa; Aliedan, Meqbel; Abdelmoety, Ziad Hassan; & Daher, Maya Mostafa (2023). A sustainable step forward: Understanding factors affecting customers’ behaviour to purchase remanufactured products. Journal of Retailing and Consumer Services, vol. 70.
Barreto, Lucas Silva et al (2018). Do multicanal ao omnichannel: integração de canais e brand equity no varejo.
Bauer R. A (1960). Consumer behavior as risk taking. In R. S. Hancock (Ed.), Dynamic marketing for a changing world. Chicago: American Marketing Association, 289-298.
Bell, David; GALLINO, Santiago & Moreno, Antonio (2018). Offline Showrooms in Omni-Channel Retail: Demand and Operational Benefits. Management Science, 64.
Berry, L.L.; Seiders, K.; Grewal, D 2002). Understanding service convenience. Journal of Marketing, 66.
Bèzes, Christophe (2019). What kind of in-store smart retailing for an omnichannel real-life experience? Recherche et Applications en Marketing, 34.
Bhattacharya, Saptarshi; Sharma, Rajendra Prasad; & Gupta, Ashish (2023). Does e-retailer's country of origin influence consumer privacy, trust and purchase intention? Journal of Consumer Marketing, 40 (2), p. 248-259
Bigois, Larissa; Da Silva Ferreira, André; & De Oliveira, Jaqueline Berdian (2019). Modelagem de Equação Estrutural.
Bloch, P. H.; & Richeins, M. L (1983). A Theorical Model for the Study of Product Importance Perceptions. Journal of Marketing, 47 (3), 69-81
Bloomfiled, Jacqueline; & Murray, J Fisher (2019). Quantitative Research Design. Journal of the Australasian Rehabilitation Nurses Association, 22 (2).
Cai, Ruiying; & Leung, Xi Y (2020). Mindset matters in purchasing online food deliveries during the pandemic: The application of construal level and regulatory focus theories. International Journal of Hospitality Management, 91.
Cheah, Jun-Hwa; Lim, Xin-Jean; Ting, Hiram; Liu, Yide; & Quach, Sara (2022). Are privacy concerns still relevant? Revisiting consumer behaviour in omnichannel retailing. Journal of Retailing and Consumer Services, 65.
Chen, Xiaoxia; Su, Xiaofeng; Wu, Jingjing; Zheng, Manhua; & Xu, Anxin (2022). The impact of omni channel collaborative marketing on customer loyalty to fresh retailers: the mediating effect of the omni channel shopping experience. Operations Management Research, 15.
Dachyar, M.; & Banjarnahor, L (2017). Factors influencing purchase intention towards consumer-to-consumer e-commerce. Intang. Cap., 13 (5), pp. 946–966.
De Sousa, Paulo; Barbosa, Marcelo; Oliveira, Leise; Tarso, Paulo; Resende, Vilela; Rodrigues, Ricardo; Teixeira Moura, Myrian; & Matoso, Daniel (2021). Challenges, Opportunities, and Lessons Learned: Sustainability in Brazilian Omnichannel Retail. Sustainability, 13 (2).
Dos Santos, Patricia Mendes; & Cirillo, Marcelo Ângelo (2023). Construction of the average variance extracted index for construct validation in structural equation models with adaptive regressions. Communications in Statistics-Simulation and Computation, 52 (4), p. 1639-1650.
Du, Quian (2021). An Overview on Omnichannel Inventory Strategy under Uncertain Demand. American Journal of industrial and Business Management, 11, 525-535.
Engel, J.F.; Kollat, D.T.; & Blacwell, R.D (1973). Consumer behavior. (2 ed.) New York: Holt. Rinehart. Winston.
Farivar, S.; Turel, O.; & Yuan, Y. (2017). A trust-risk perspective on social commerce use: An examination of the biasing role of habit. Internet Research, 27 (3), 586–607.
Fornell, Claes; Larcker, David F (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18 (1), p. 39-50.
Gallino, Santaigo; & Roodrkerk, Robert (2020). New Product Development in an Omnichannel World. California Management Review, Vol. 63 (1).
Gerea, C; & Herskovic, V (2022). Transitioning from Multichannel to Omnichannel Customer Experience in Service-Based Companies: Challenges and Coping Strategies. Journal of Theoretical and Applied Electronic Commerce Research, 17 (2).
Guo, Y., Zhang, M.; & Lynette, Wang (2022), V. Webrooming or showrooming? The moderating effect of product attributes, Journal of Research in Interactive Marketing, 16 (4), pp.534-550.
Hair, J.F., Hult, G.T.M., Ringle, C.M., & Sarstedt, M (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), 2ed. Sage Publications.
Hair, Joseph F. et al (2019). When to use and how to report the results of PLS-SEM. European business review, 31 (1), p. 2-24.
Hidayat, Anas et al (2021). Consumer trust as the antecedent of online consumer purchase decision. Information, 12 (4), p. 145.
Hong, Areum; Nam, Changi; & Kim, Seongcheol (2020). What will be the possible barriers to consumers’ adoption of smart home services? Telecommunications Policy, 44 (2).
Hwang, Jinsso; & Choe, Já Young (2020). How to enhance the image of edible insect restaurants: Focusing on perceived risk theory. International Journal of Hospitality Management, 87.
Iglesias-Pradas, Santiago; Acquila-Natale, Emiliano; & Del-Rio Carazo, Laura (2022). Omnichannel retailing: a tale of three sectors. Economic Research-Ekonomska Istraživanja, 35 (1).
Jeong, Dayun; Ko, Eunju; & Taylor; Charles R (2023). Don't touch the Merchandise! Factors associated with consumer preference for contact free shopping. Journal of Business Research, 154.
Juaneda-Ayensa Emma; Mosquera, Ana; & Sierra Murillo Yolanda (2016). Omnichannel Customer Behavior: Key Drivers of Technology Acceptance and Use and Their Effects on Purchase Intention. Frontiers in Psychology, 7.
Kang, Hyun (2021). Sample size determination and power analysis using the G* Power software. Journal of educational evaluation for health professions, 18.
Karwatzki, S.; Trenz, M.; & Veit, D (2022). The multidimensional nature of privacy risks: Conceptualisation, measurement, and implications for digital services. Information Systems Journal, 32 (6), 1126– 1157.
Kazancoglu, Ipek; & Aydin, Hatice (2018). An investigation of consumers’ purchase intentions towards omni-channel shopping: A qualitative exploratory study. International Journal of Retail & Distribution Management, 46 (10), 959-976.
Khoa, Bui Thanh; & Huynh, Tran Trong (2023). How Does Anxiety Affect the Relationship between the Customer and the Omnichannel Systems? J. Theor. Appl. Electron. Commer. Res., 18, 130-149.
Kock, Ned (2020). WarpPLS user manual. Laredo, TX: ScriptWarp Systems.
Kumar, Anuj; Mehra, Amit; & Kumar, Subodha (2019). Why Do Stores Drive Online Sales? Evidence of Underlying Mechanisms from a Multichannel Retailer. Information Systems Research, 30 (1), 319-338.
Kumar, Pawan; & Bajaj, Rakhi (2016). Dimensions of perceived risk among students of high educational institutes towards online shopping in Punjab. Journal of Internet Banking and Commerce, 1.
Le, A.N.H.; & Nguyen-Le, X.-D (2021). A moderated mediating mechanism of omnichannel customer experiences, International Journal of Retail & Distribution Management, 49 (5), 595-615.
Lestari, Nina Sri; & Nugroho, Sidiq Pernomo (2023). The Effect of Omnichannel Integration Quality on Purchase Intention Mediated by Consumer Trust in Surakarta. International Journal of Engineering Business and Social Science, 1 (5), 340-352.
Lu, H.; Hsu, C.; & Hsu, H (2005). An empirical study of the effect of perceived risk upon intention to use online applications. Information Management & Computer Security, 13 (2), 206-120.
Mahliza, Febrina (2020). Exploring Trust in Purchase Intention: An Empirical Research on Agricultural Application. 4th International Conference on Management, Economics and Business.
Nattuvathuckal, Barnabas; Mekoth, Nandakumar; & Sony, Michael (2020). Role of Consumption Intent in Service Quality Perceived Benefit Relationship. Indian Journal of Marketing, 50, (3).
Nguyen, Anh Thi Van; McClelland, Robert & Thuan, Nguyen Hoang (2022). Exploring customer experience during channel switching in omnichannel retailing context: A qualitative assessment, Journal of Retailing and Consumer Services, 64.
Park, J.; & Kim, R. B (2021). The effects of integrated information & service, institutional mechanism and need for cognition (NFC) on consumer omnichannel adoption behavior. Asia Pacific Journal of Marketing and Logistics, 33 (6), 1386-1414.
Pillai, Souji Gopalakrishna; Kim, Woo Gon; Haldorai, Kavitha; & Kim, Hak-Seon (2022). Online food delivery services and consumers' purchase intention: Integration of theory of planned behavior, theory of perceived risk, and the elaboration likelihood model. International Journal of Hospitality Management, 105.
Quach, S.; Barari, M.; Thaichon, P.; & Moudrý, D.VC (2022). Price promotion in omnichannel retailing: how much is too much? Asia Pacific Journal of Marketing and Logistics, 35 (1), 198-213.
Queiroz, Maciel M. et al (2022). Supply chain resilience in the UK during the coronavirus pandemic: a resource orchestration perspective. International Journal of Production Economics, 245, p. 108405
Ramirez L. Javier Cabeza; Garcia, Fernando J. Fuentes; Vicente, M. Carmen Cano; & Mohino, Miguel González (2022). How Generation X and Millennials Perceive Influencers’ Recommendations: Perceived Trustworthiness, Product Involvement, and Perceived Risk. Journal of Theoretical and Applied Electronic Commerce Research, 17 (4).
Rivera, Jorge Ramón D.’Acosta et al (2018). Using structural equation modeling: patterns and trends of publications in Brazilian journals. Revista de Gestão, 25 (3), 291-302.
Rodríguez-Torrico, P.; San José Cabezudo, R.; San-Martín, S.; & Trabold Apadula, L (2023). Let it flow: the role of seamlessness and the optimal experience on consumer word of mouth in omnichannel marketing, Journal of Research in Interactive Marketing, 17 (1), 1-18.
Sardana, Nitish; Shekoohi, Sahar; Cornett, Elyse M.; & Kaye, Alan David (2023). Qualitative and quantitative research methods. Academic Press, 65-69.
Savastano, Marco; Bellini, Francesco; D’ascenzo, Fabrizio; De Marco, Marco (2019). Technology adoption for the integration of online–offline purchasing: Omnichannel strategies in the retail environment. International Journal of Retail & Distribution Management, 47 (5), 474-492.
Sekhon, Harjit; Yalley, Andrews Agya; Roy, Sanjit Kumar; & Shergill, Gurvinder Singh (2016). A cross-country study of service productivity. The Service Industries Journal, 36, 223-238.
SHI, Si; WANG, Yi; CHEN, Xuanzhu e ZHANG, Qian. Conceptualization of omnichannel customer experience and its impact on shopping intention: A mixed-method approach. International Journal of Information Management, 2020.
Tanveer, Arifa; Zeng, Shihong; Irfan, Muhammad e Peng, Rui (2021). Do Perceived Risk, Perception of Self-Efficacy, and Openness to Technology Matter for Solar PV Adoption? An Application of the Extended Theory of Planned Behavior. Energies, 14.
TIMOUMI, Ahmed; Gangwar, Manish; & Mantrala, Murali (2022). Cross-Channel Effects of Omnichannel Retail Marketing Strategies: A Review of Extant Data-driven Research. Journal of Retailing, 48 (1).
Tingchi Liu, M.; Brock, J.L.; Cheng Shi, G.; Chu, R; & Tseng, T (2013). Perceived benefits, perceived risk, and trust: Influences on consumers' group buying behaviour. Asia Pacific Journal of Marketing and Logistics, 25 (2), 225-248.
Wang, J.; Shahzad, F.; Ahmad, Z.; Abdullah, M.; & Hassan, N. M (2022). Trust and Consumers’ Purchase Intention in a Social Commerce Platform: A Meta-Analytic Approach. SAGE Open, 12 (2).
Wu, Ing-Long; Chiu, Mai-Lun; & Chen, Kuei-Wan (2020). Defining the determinants of online impulse buying through a shopping process of integrating perceived risk, expectation-confirmation model, and flow theory issues. International Journal of Information Management, 52.
Xu, Q., Shao, Z.; & He, Y (2021). Effect of the buy-online-and-pickup-in-store option on pricing and ordering decisions during online shopping carnivals. Intl. Trans. in Op. Res., 28, 2496-2517.
Xu, X.; & Jackson, J. E (2019). Investigating the influential factors of return channel loyalty in Omni-channel retailing. International Journal of Production Economics, 216, 118-132.
Yang, Daojian; & Zhang, Xiujie (2020). Quick response and omnichannel retail operations with the ship-to-store program. International Transactions in Operational Research, 27 (3).
Zhang, Xiaoxue; & Yu, Xiaofeng (2020). The Impact of Perceived Risk on Consumers’ Cross-Platform Buying Behavior. Frontiers in Psychology, 11.
Zhou, Bin; Liu, Siyi; Yu, Zhu, Dongfang; & Xiong, Qihao (2022). Perceived Benefits and Forest Tourists Consumption Intention: Environmental Protection Attitude and Resource Utilization Attitude as Mediators. Forests, 13.
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