Businesses are on a perpetual quest to increase purchase intention to increase product sales. Currently, this study is also an effort in a similar context where consumers’ perception of product assortment, internet of things, order fulfillment, green packaging, and green design are comprehended. Besides, the research entails understating the assistance given to the customers for product purchases, followed by the signaling effect of these factors on the brand’s shopping assistance. The impact of shopping assistance is empirically analyzed on purchase intention to grasp the phenomena. Data were gathered using an online survey form, and analysis was done using PLS-SEM. The empirical testing suggests that product assortment, internet of things, order fulfillment, green packaging, and green design on shopping assistance support purchase intention. The result also confirms meditation of shopping assistance in the proposed model.

Keywords:

References

1. P. Kautish, J. Paul and R. Sharma, The effect of assortment and fulfillment on shopping assistance and efficiency: An e-tail servicescape perspective, J. Retail. Consumer Serv. 59 (2021) 102393. Crossref, Web of Science, Google Scholar
2. P. Kautish and R. Sharma, Managing online product assortment and order fulfillment for superior e-tailing service experience: An empirical investigation, Asia Pac. J. Market. Log. 31(4) (2019) 1161–1192. Crossref, Web of Science, Google Scholar
3. M. Murfeld, C. A. Boone, P. Rutner and R. G. Thomas, Investigating logistics service quality in omnichannel retailing, Int. J. Phys. Distrib. Logistics. Manag. 47(4) (2017) 263–296. Crossref, Web of Science, Google Scholar
4. M. A. Moon et al., Consumer’s perceptions of website’s utilitarian and hedonic attributes and online purchase intentions: A cognitive–affective attitude approach, Spanish J. Marketing-ESIC 21(2) (2017) 73–88. Crossref, Google Scholar
5. P. P. Ray, A survey on internet of things architectures, J. King Saud Univ. Comput. Inf. Sci. 30(3) (2018) 291–319. Crossref, Web of Science, Google Scholar
6. A. Paul and R. Jeyaraj, Internet of Things: A primer, Human Behav. Emerg. Technol. 1(1) (2019) 37–47. Crossref, Google Scholar
7. J. H. Nord, A. Koohang and J. Paliszkiewicz, The internet of things: Review and theoretical framework, Expert Syst. Appl. 133 (2019) 97–108. Crossref, Web of Science, Google Scholar
8. E. G. Popkova, E. N. Egorova, E. Popova and U. A. Pozdnyakova, The model of state management of economy on the basis of the internet of things, in Ubiquitous Computing and the Internet of Things: Prerequisites for the Development of ICT (Springer, Cham, 2019), pp. 1137–1144. Crossref, Google Scholar
9. Y. Lei, S. Jasin and A. Sinha, Joint dynamic pricing and order fulfillment for e-commerce retailers, Manuf. Serv. Oper. Manag. 20(2) (2018) 269–284. Crossref, Web of Science, Google Scholar
10. H. Moustafa, A. M. Youssef, N. A. Darwish and A. I. Abou-Kandil, Eco-friendly polymer composites for green packaging: Future vision and challenges, Compos. B. Eng. 172 (2019) 16–25. Crossref, Web of Science, Google Scholar
11. Y. Hao, H. Liu, H. Chen, Y. Sha, H. Ji and J. Fan, What affect consumers’ willingness to pay for green packaging? Evidence from China, Resour. Conserv. Recycl. 141 (2019) 21–29. Crossref, Web of Science, Google Scholar
12. S. Jafarzadeh, S. M. Jafari, A. Salehabadi, A. M. Nafchi, U. S. U. Kumar and H. A. Khalil, Biodegradable green packaging with antimicrobial functions based on the bioactive compounds from tropical plants and their by-products, Trends Food Sci. Technol. 100 (2020) 262–277. Crossref, Web of Science, Google Scholar
13. U. Aagerup, A. S. Frank and E. Hultqvist, The persuasive effects of emotional green packaging claims, Br. Food J. 121(12) (2019) 3233–3246. Crossref, Web of Science, Google Scholar
14. Y. C. Yang and X. Zhao, Exploring the relationship of green packaging design with consumers’ green trust, and green brand attachment, Soc. Behav. Pers. 47(8) (2019) 1–10. Crossref, Web of Science, Google Scholar
15. H. Han, A. Ariza-Montes, G. Giorgi and S. Lee, Utilizing green design as workplace innovation to relieve service employee stress in the luxury hotel sector, Int. J. Environ. Res. Public Health 17(12) (2020) 4527. Crossref, Web of Science, Google Scholar
16. L. Liu, S. Jiao, Y. Peng and W. Zhou, A green design for lubrication: Multifunctional system containing Fe₃O₄@ MoS₂ nanohybrid, ACS Sustain. Chem. Eng. 6(6) (2018) 7372–7379. Crossref, Web of Science, Google Scholar
17. H. Tamiami, F. Khaira and A. Fachrudin, Green design application on campus to enhance student’s quality of life, in IOP Conf. Ser. Mater. Sci. Eng., Vol. 309, No. 1. (IOP Publishing, 2018), p. 012022. Google Scholar
18. W. Wu, M. Wang, J. Wang, C. Wang and Y. Deng, Green design of Si/SiO₂/C composites as high-performance anodes for lithium-ion batteries, ACS Appl. Energy Mater. 3(4) (2020) 3884–3892. Crossref, Web of Science, Google Scholar
19. S. Griffiths and B. K. Sovacool, Rethinking the future low-carbon city: Carbon neutrality, green design, and sustainability tensions in the making of Masdar City, Energy Res. Soc. Sci. 62 (2020) 101368. Crossref, Web of Science, Google Scholar
20. J. M. Campbell and M. Kubickova, Agritourism microbusinesses within a developing country economy: A resource-based view, J. Destin. Mark. Manag. 17 (2020) 100460. Web of Science, Google Scholar
21. H. R. Greve, The resource-based view and learning theory: Overlaps, differences, and a shared future, J. Manag. 47(7) (2021) 0149206320967732. Google Scholar
22. B. Gerhart and J. Feng, The resource-based view of the firm, human resources, and human capital: Progress and prospects, J. Manag. 47(7) (2021) 1796–1819. Google Scholar
23. S. K. Roy, M. S. Balaji, S. Sadeque, B. Nguyen and T. C. Melewar, Constituents and consequences of smart customer experience in retailing, Technol. Forecast. Social Change 124 (2017) 257–270. Crossref, Web of Science, Google Scholar
24. L. H. C. Pinochet, E. L. Lopes, C. H. F. Srulzon and L. M. Onusic, The influence of the attributes of “Internet of Things” products on functional and emotional experiences of purchase intention, Innov. Manag. Rev. 15(3) (2018) 303–320. Crossref, Google Scholar
25. M. A. Camilleri, E-commerce websites, consumer order fulfillment and after-sales service satisfaction: The customer is always right, even after the shopping cart check-out, J. Strat. Manage. (2021). Web of Science, Google Scholar
26. C. McClure and Y. K. Seock, The role of involvement: Investigating the effect of brand’s social media pages on consumer purchase intention, J. Retail. Consumer Serv. 53 (2020) 101975. Crossref, Web of Science, Google Scholar
27. N. Peña-García, I. Gil-Saura, A. Rodríguez-Orejuela and J. R. Siqueira-Junior, Purchase intention and purchase behavior online: A cross-cultural approach, Heliyon, 6(6) (2020) e04284. Crossref, Web of Science, Google Scholar
28. J. Martins, C. Costa, T. Oliveira, R. Gonçalves and F. Branco, How smartphone advertising influences consumers’ purchase intention, J. Business Res. 94 (2019) 378–387. Crossref, Web of Science, Google Scholar
29. N. Sreen, S. Purbey and P. Sadarangani, Impact of culture, behavior, and gender on green purchase intention, J. Retail. Consumer Serv. 41 (2018) 177–189. Crossref, Web of Science, Google Scholar
30. L. Tello-Oquendo, I. F. Akyildiz, S. C. Lin and V. Pla, SDN-based architecture for providing reliable Internet of Things connectivity in 5G systems, 2018 17th Annual Mediterranean Ad Hoc Networking Workshop (Med-Hoc-Net) 20–22 June 2018, Capri, Italy, pp. 1–8. Google Scholar
31. H. Zhou, S. Li, S. Chen, Q. Zhang, W. Liu and X. Guo, Enabling low cost flexible smart packaging system with Internet-of-Things connectivity via flexible hybrid integration of silicon RFID chip and printed polymer sensors, IEEE Sens. J. 20(9) (2020) 5004–5011. Crossref, Web of Science, Google Scholar
32. X. Liang, Internet of Things and its applications in libraries: A literature review, Library Hi-Tech. 38(1) (2018) 67–77. Crossref, Web of Science, Google Scholar
33. S. Alabdulsalam, K. Schaefer, T. Kechadi and N. A. Le-Khac, Internet of things forensics–challenges and a case study, in IFIP Int. Conf. Digital Forensics (Springer, Cham, 2018), pp. 35–48. Google Scholar
34. A. A. Alalwan, Investigating the impact of social media advertising features on customer purchase intention, Int. J. Inf. Manag. 42 (2018) 65–77. Crossref, Web of Science, Google Scholar
35. A. A. Tuwanku, F. Rohman and A. Rofiq, Does green packaging matter as a business strategy? Exploring young consumers’ consumption in an emerging market, Probl. Perspect. Manag. 16(2) (2018) 376. Google Scholar
36. S. M. M. R. Zaidi, L. Yifei, M. Y. Bhutto, R. Ali and F. Alam, The influence of consumption values on green purchase intention: A moderated mediation of greenwash perceptions and green trust, Pak. J. Commer. Soc. Sci. 13(4) (2019) 826–848. Google Scholar
37. G. Darmawan and I. G. A. K. G. Suasana, The role of green packaging mediates the effect of green product on purchase intention of Starbucks Tumbler (Study at Starbucks GriyaSantrian), Am. J. Human. Soc. Sci. Res. 5(3) (2020) 128–134. Google Scholar
38. H. Taherdoost, Validity and reliability of the research instrument: How to test the validation of a questionnaire/survey in a research, Int. J. Acad. Res. in Manage. (2016). Google Scholar
39. J. Reyna, J. Hanham, P. Vlachopoulos and P. Meier, Using factor analysis to validate a questionnaire to explore self-regulation in learner-generated digital media (LGDM) assignments in science education, Australasian J. Edu. Technol. (2019). Crossref, Web of Science, Google Scholar
40. R. Maskey, J. Fei and H.-O Nguyen, Use of exploratory factor analysis in maritime research, Asian J. Shipping Log. (2018). Crossref, Google Scholar
41. S. Rogus, J. F. Guthrie, M. Niculescu and L. Mancino, Online grocery shopping knowledge, attitudes, and behaviors among SNAP participants, J. Nutr. Educ. Behav. 52(5) (2020) 539–545. Crossref, Web of Science, Google Scholar
42. L. J. Thomas, S. Brooks and C. McGouran, Antecedents of value co-creation activities for online fashion brands, J. Strat. Market. 28(5) (2020) 384–398. Crossref, Web of Science, Google Scholar
43. T. Böger, Implementation and evaluation of a shopping assistance chatbot in an e-commerce case, Doctoral dissertation, University of Ljubljana (2019). Google Scholar
44. V. Patel, K. Das, R. Chatterjee and Y. Shukla, Does the interface quality of mobile shopping apps affect purchase intention? An empirical study, Australas. Market J. (2020), https://doi.org/10.1016/j.ausmj.2020.08.004 (in press). Crossref, Web of Science, Google Scholar
45. S. K. Roy, M. S. Balaji, A. Quazi and M. Quaddus, Predictors of customer acceptance of and resistance to smart technologies in the retail sector, J. Retail. Consumer Serv. 42 (2018) 147–160. Crossref, Web of Science, Google Scholar