E-Commerce in Brazil: An In-Depth Analysis of Digital Growth and Strategic Approaches for Online Retail
Abstract
:1. Introduction
2. Materials and Methods
2.1. Data Sources and Selection and Eligibility Criteria
2.2. Convergence Coding
3. Results and Discussion
3.1. Data Sources
3.2. Formation of the Convergence-Coding Matrix
Convergence-Coding Matrix | Subclassification | References |
---|---|---|
Consumer Behavior (33 papers) | Factors that can influence or act as barriers to digital consumer behavior (22 papers) | [54,55,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77]; |
Specific products and services that bring additional challenges to e-commerce (05 papers) | [9,67,78,79,80]; | |
General issues related to the conduct of digital consumer behavior research (06 papers) | [81,82,83,84,85,86]; | |
E-commerce Structure (37 papers) | New structure provided by e-commerce (09 papers) | [51,56,87,88,89,90,91,92,93]; |
Structural innovations in measuring e-commerce performance (20 papers) | [10,53,70,81,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109]. | |
Examples of traditional structures modified by e-commerce (08 papers) | [110,111,112,113,114,115,116,117]; | |
Product Distribution (15 papers) | Trend of product distribution and optimization | [9,31,49,50,118,119,120,121,122,123,124,125,126,127,128,129]. |
Environmental Sustainability (13 papers) | Environmental and regulatory impacts | [18,48,51,130,131,132,133,134,135,136,137,138,139] |
3.3. Articles Classified in the “Consumer Behavior” Cluster
3.3.1. Factors That Can Influence or Serve as a Barrier to Digital Consumer Behavior
3.3.2. Specific Products and Services That Bring Additional Challenges to E-Commerce
3.3.3. General Questions Linked to Conducting Digital Consumer Behavior Research
3.4. Articles Classified in the “E-Commerce Structure” Cluster
- The reconfiguration of business structures due to e-commerce;
- Innovations in measuring and enhancing e-commerce performance;
- Transformations in traditional business structures influenced by e-commerce.
3.5. Articles Classified in the “Product Distribution” Cluster
3.6. Articles Classified in the “Environmental Sustainability” Cluster
4. Proposing a Future Research Agenda
5. Final Considerations
Theoretical Implications
6. Conclusions
Limitations of the Study
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Maseeh, H.I.; Nahar, S.; Jebarajakirthy, C.; Ross, M.; Arli, D.; Das, M.; Rehman, M.; Ashraf, H.A. Exploring the privacy concerns of smartphone app users: A qualitative approach. Mark. Intell. Plan. 2023, 41, 945–969. [Google Scholar] [CrossRef]
- Büchel, E.; Spinler, S. The impact of the metaverse on e-commerce business models—A delphi-based scenario study. Technol. Soc. 2024, 76, 102465. [Google Scholar] [CrossRef]
- Statista. Global Retail e-Commerce Sales 2014–2025. 2022. Available online: https://www.statista.com/statistics/379046/worldwide-retail-e-commerce-sales/ (accessed on 2 November 2023).
- Gupta, A.S.; Mukherjee, J.; Garg, R. Retailing during the COVID-19 lifecycle: A bibliometric study. Int. J. Retail. Distrib. Manag. 2023, 11, 1413–1476. [Google Scholar] [CrossRef]
- World Trade Organization. E-Commerce, Trade and the COVID-19 Pandemic. 2020. Available online: https://www.wto.org/english/tratop_e/covid19_e/ecommerce_report_e.pdf (accessed on 2 November 2023).
- Accenture. Technology Trends 2021. Available online: https://www.accenture.com/us-en/insights/technology/technology-trends-2021 (accessed on 24 April 2024).
- Su, Z.; Bentley, B.L.; McDonnell, D.; Ahmad, J.; He, J.; Shi, F.; Takeuchi, K.; Cheshmehzangi, A.; da Veiga, C.P. 6G and Artificial Intelligence Technologies for Dementia Care: Literature Review and Practical Analysis. J. Med. Internet Res. 2022, 24, e30503. [Google Scholar] [CrossRef] [PubMed]
- Lucas, G.A.; Lunardi, G.L.; Dolci, D.B. From e-commerce to m-commerce: An analysis of the user’s experience with different access platforms. Electron. Commer. Res. Appl. 2023, 58, 101240. [Google Scholar] [CrossRef]
- Alves de Araújo, F.; Mendes dos Reis, J.G.; Terra da Silva, M.; Aktas, E. A Fuzzy Analytic Hierarchy Process Model to Evaluate Logistics Service Expectations and Delivery Methods in Last-Mile Delivery in Brazil. Sustainability 2022, 14, 5753. [Google Scholar] [CrossRef]
- Anacleto, A.; de Araújo Bornancin, A.P.; Mendes, S.H.C.; Scheuer, L. Between Flowers and Fears: The New Coronavirus Pandemic [Covid-19] and the Flower Retail Trade. Ornam. Agric. 2021, 27, 26–32. [Google Scholar] [CrossRef]
- Ferraz, R.M.; da Veiga, C.P.; da Veiga, C.R.P.; Furquim, T.S.G.; da Silva, W.V. After-Sales Attributes in E-Commerce: A Systematic Literature Review and Future Research Agenda. J. Theor. Appl. Electron. Commer. Res. 2023, 18, 475–500. [Google Scholar] [CrossRef]
- Pitta, G.B.; Pereira da Veiga, C.; Kaczam, F.; Su, Z.; Vieira da Silva, W. Reviewing the scientific literature of the barriers to online purchases. Int. J. Bus. Forecast. Mark. Intell. 2024, 9, 80–102. [Google Scholar] [CrossRef]
- Sociedade Brasileira de Varejo e Consumo. 2023. Available online: http://www.sbvc.com.br (accessed on 1 February 2024).
- E-Bit. 2023. Available online: http://www.ebit.com.br (accessed on 1 February 2024).
- Furquim, T.S.G.; da Veiga, C.P.; Veiga, C.R.P.d.; Silva, W.V.d. The Different Phases of the Omnichannel Consumer Buying Journey: A Systematic Literature Review and Future Research Directions. J. Theor. Appl. Electron. Commer. Res. 2023, 18, 79–104. [Google Scholar] [CrossRef]
- ABComm. 2022. Available online: http://www.abcomm.org (accessed on 1 February 2024).
- Hassan, M.A.; Shukur, Z.; Hasan, M.K. An Efficient Secure Electronic Payment System for E-Commerce. Computers 2020, 9, 66. [Google Scholar] [CrossRef]
- Almeida, S.F.; de Moura Leite, A.O.; de Castro Lima, L.; de Oliveira, P.H. Dinâmicas do Varejo no Brasil: Produtividade e o Período Pós-Pandemia. Rev. Do IBRAC 2023, 1, 87–116. [Google Scholar]
- eMarketer. 2019. Available online: http://www.emarketer.com (accessed on 12 December 2023).
- Valor Econômico. Faturamento do E-Commerce Deve Aumentar 10% em 2023. Available online: https://valor.globo.com/patrocinado/dino/noticia/2023/05/08/faturamento-do-e-commerce-deve-aumentar-10-em-2023.ghtml (accessed on 13 December 2023).
- Mccenet. 2020. Available online: https://www.mccenet.com.br/categorias (accessed on 12 January 2024).
- Michel, J.; da Veiga, C.; da Veiga, C.R. Metanarrativa sobre E-commerce no Brasil. An. Do Simpósio Sul-Mato-Grossense Adm. 2021, 4, 325–341. [Google Scholar]
- Dunnhumby. Six Months on, How Have Consumer Behaviours Changed as a Result of COVID-19? 2020. Available online: https://customerfirst.dunnhumby.com/six-months-on-how-have-consumer-behaviours-changed-as-a-result-of-covid-19 (accessed on 12 January 2024).
- Brasil. Código de Defesa do Consumidor. 1990. Available online: http://www.planalto.gov.br/ccivil_03/leis/l8078.htm (accessed on 12 January 2024).
- Brasil. Marco Civil da Internet. 2014. Available online: http://www.planalto.gov.br/ccivil_03/_Ato2011-2014/2014/Lei/L12965.htm (accessed on 20 January 2024).
- Brasil. Lei Geral de Proteção de Dados. 2018. Available online: http://www.planalto.gov.br/ccivil_03/_Ato2015-2018/2018/Lei/L13709.htm (accessed on 3 April 2024).
- Brasil. Decreto do Comércio Eletrônico. 2013. Available online: http://www.planalto.gov.br/ccivil_03/_Ato2011-2014/2013/Decreto/D7962.htm (accessed on 3 April 2024).
- Ferreira, J.; Silva, R.; Almeida, P. E-commerce and Consumer Protection in Brazil. J. Digit. Commer. 2020, 12, 45–58. [Google Scholar]
- Silva, M.; Oliveira, L. Challenges for SMEs in Complying with E-commerce Regulations. Braz. Bus. Rev. 2019, 16, 22–38. [Google Scholar]
- Rodrigues, T. Legal Developments in Brazilian E-commerce. Law Digit. Econ. 2021, 5, 33–47. [Google Scholar]
- Mendonça Júnior, D.; Dallagnol, M.F.; Martins, V.Q.; Freitag, V.C. Evaluation of e-commerce systems: Comparative study before and during the COVID-19 pandemic in Brazil. JISTEM-J. Inf. Syst. Technol. Manag. 2023, 20, e202320002. [Google Scholar] [CrossRef]
- Greenhalgh, T.; Robert, G.; Macfarlane, F.; Bate, P.; Kyriakidou, O.; Peacock, R. Storylines of research in diffusion of innovation: A meta-narrative approach to systematic review. Soc. Sci. Med. 2005, 61, 417–430. [Google Scholar] [CrossRef] [PubMed]
- Tranfield, D.; Denyer, D.; Smart, P. Towards a methodology for developing evidence-informed management knowledge by means of systematic review. Br. J. Manag. 2003, 14, 207–222. [Google Scholar] [CrossRef]
- Kraus, S.; Breier, M.; Dasí-Rodríguez, S. The art of crafting a systematic literature review in entrepreneurship research. Int. Entrep. Manag. J. 2020, 16, 1023–1042. [Google Scholar] [CrossRef]
- Mas-Tur, A.; Kraus, S.; Brandtner, E.R.; Kürsten, W. Advances in management research: A bibliometric overview of the review of managerial science. Rev. Manag. Sci. 2020, 14, 933–958. [Google Scholar] [CrossRef]
- Paul, J.; Lim, W.M.; O’Cass, A.; Hao, A.W.; Bresciani, S. Scientific procedures and rationales for systematic literature reviews [SPAR-4-SLR]. Int. J. Consum. Stud. 2021, 45, O1–O16. [Google Scholar] [CrossRef]
- Sauer, P.C.; Seuring, S. How to conduct systematic literature reviews in management research: A guide in 6 steps and 14 decisions. Rev. Manag. Sci. 2023, 17, 1899–1933. [Google Scholar] [CrossRef]
- Paul, J.; Criado, A.E.P. The art of writing literature review: What do we know and what do we need to know? Int. Bus. Rev. 2020, 29, 101717. [Google Scholar] [CrossRef]
- Wong, G.; Greenhalgh, T.; Westhorp, G.; Buckingham, J.; Pawson, R. RAMESES publication standards: Meta-narrative reviews. BMC Med. 2013, 11, 20. [Google Scholar] [CrossRef] [PubMed]
- Da Veiga, C.R.P.; da Veiga, C.P.; Drummond-Lage, A.P. Concern over cost of and access to cancer treatments: A meta-narrative review of nivolumab and pembrolizumab studies. Crit. Rev. Oncol. Hematol. 2018, 129, 133–145. [Google Scholar] [CrossRef] [PubMed]
- Veiga, C.R.P.; Saliba, Y.; Abicalaffe, C.L.; Rocha, F.; Damázio, L.F.; Da Veiga, C. Value-Based Healthcare Initiative Is like a Marathon, Not a Sprint: Achievements and Challenges in Brazil. J. Value Health 2023, 26, S258. [Google Scholar] [CrossRef]
- Farmer, T.; Robinsons, K.; Elliott, S.J.; Eyles, J. Developing and implementing a triangulation protocol for qualitative health research. Qual. Health Res. 2006, 16, 377–394. [Google Scholar] [CrossRef] [PubMed]
- O’Cathain, A.; Murphy, E.; Nicholl, J. Three techniques for integrating data in mixed methods studies. Br. Med. J. 2010, 341, 1147–1150. [Google Scholar] [CrossRef]
- KPMG. Technology and the Transformation of e-Commerce: Reshaping the Future of Retail. 2021. Available online: https://home.kpmg/xx/en/home/insights/2021/02/technology-and-the-transformation-of-e-commerce.html (accessed on 1 September 2023).
- Falagas, M.E.; Pitsouni, E.I.; Malietzis, G.A.; Pappas, G. Comparison of PubMed, Scopus, Web of Science, and Google Scholar: Strengths and weaknesses. FASEB J. 2008, 22, 338–342. [Google Scholar] [CrossRef]
- Mongeon, P.; Paul-Hus, A. The journal coverage of Web of Science and Scopus: A comparative analysis. Scientometrics 2016, 106, 213–228. [Google Scholar] [CrossRef]
- Gusenbauer, M.; Haddaway, N.R. Which academic search systems are suitable for systematic reviews or meta-analyses? Evaluating retrieval qualities of Google Scholar, PubMed, and 26 other resources. Res. Synth. Methods 2020, 11, 181–217. [Google Scholar] [CrossRef] [PubMed]
- Callou, G.; Maciel, P.; Tutsch, D.; Ferreira, J.; Araújo, J.; Souza, R. Estimating Sustainability Impact of High Dependable Data Centers: A Comparative Study Between Brazilian and US Energy Mixes. Computing 2013, 95, 1137–1170. [Google Scholar] [CrossRef]
- Oliveira, L.K.; Nunes, N.T.R.; Novaes, A.G.N. Assessing Model for Adoption of New Logistical Services: An Application for Small Orders of Goods Distribution in Brazil. Procedia Soc. Behav. Sci. 2010, 2, 6286–6296. [Google Scholar] [CrossRef]
- Oliveira, R.L.M.d.; Garcia, C.S.H.F.; Góes Pinto, P.H. Accessibility to Food Retailers: The Case of Belo Horizonte, Brazil. Sustainability 2020, 12, 2654. [Google Scholar] [CrossRef]
- Ferreira, J.; Callou, G.; Josua, A.; Tutsch, D.; Maciel, P. An Artificial Neural Network Approach to Forecast the Environmental Impact of Data Centers. Information 2019, 10, 113. [Google Scholar] [CrossRef]
- Oliveira, L.K.; Carneiro, C.M.D.; Maia, M.L.A.; França, J.G.D.B. Effects of the COVID-19 pandemic on the perception of on-demand delivery by the younger generation: An exploratory analysis for Brazil. Res. Transp. Econ. 2023, 100, 101334. [Google Scholar] [CrossRef]
- Melo, I.C.; Alves Junior, P.N.; Callefi, J.S.; da Silva, K.A.; Nagano, M.S.; Rebelatto, D.A.N.; Rentizelas, A. Measuring the performance of retailers during the COVID-19 pandemic: Embedding optimal control theory principles in a dynamic data envelopment analysis approach. Oper. Res. Perspect. 2023, 10, 100282. [Google Scholar]
- Curth, M.; Picoto, W.N.; Garcia, A.d.S.; Neto, A.F.G. Trust in Online Shopping: A Comparative Study Between Brazil and Portugal. Braz. J. Mark. 2020, 19, 237–260. [Google Scholar] [CrossRef]
- Pereira, P.C.; Azevedo, A.I.; Pinto, A.S. Cultural Differences in Electronic Commerce: Comparative Study between Brazil and Portugal. In Proceedings of the 2018 13th Iberian Conference on Information Systems and Technologies (CISTI), Caceres, Spain, 13–16 June 2018. [Google Scholar]
- Dos Reis, A.D.; Machado, M.A. E-Commerce in Emerging Markets: Internationalization Factors of Brazilian Footwear in South America. Rev. Gestão E Tecnol. 2020, 20, 165–189. [Google Scholar]
- Cruez, V. Financial Division of Labor at Payment Systems in Argentina and Brazil. Univ Andes Inst. Geogr. Conserv. Recur. Nat. 2019, 60, 430–445. [Google Scholar]
- Weber, A.N.; Badenhorst-Weiss, J.H. The last-mile logistical challenges of an omnichannel grocery retailer: A South African perspective. J. Transp. Supply Chain. Manag. 2018, 12, 1–13. [Google Scholar] [CrossRef]
- Joia, L.A.; Sanz, P. The hidden value of sporadic customers in e-retailing: An empirical investigation. Internet Res. 2005, 15, 7–20. [Google Scholar] [CrossRef]
- Singh, N.; Fassott, G.; Chao, M.C.H.; Hoffmann, J.A. Understanding international web site usage: A cross-national study of German, Brazilian, and Taiwanese online consumers. Int. Mark. Rev. 2006, 23, 83–97. [Google Scholar] [CrossRef]
- Barrichello, A.; Morano, R.S.; D’Acosta Rivéra, J.R.; Jacomossi, R.R. Repurchase Intent Online and its Determinants: A Brazilian Perspective. Rev. Gestão Tecnol. 2016, 16, 199–217. [Google Scholar]
- Oliveira, M.J.; Huertas, M.K.Z.; Lin, Z. Factors driving young users’ engagement with Facebook: Evidence from Brazil. Comput. Hum. Behav. 2016, 54, 54–61. [Google Scholar] [CrossRef]
- Malaquias, F.F.O.; Hwang, Y. Trust in Mobile Banking Under Conditions of Information Asymmetry: Empirical Evidence from Brazil. Inf. Dev. 2016, 32, 1600–1612. [Google Scholar] [CrossRef]
- Monteiro, T.A.; Giuliani, A.C.; Pizzinatto, N.K.; Larios-Gomez, E. Managing the digital consumer: Insights from Brazil and Spain. J. Manuf. Technol. Manag. 2019, 30, 1196–1215. [Google Scholar] [CrossRef]
- Van Der Linden, M.; Souza, C.A. Factors Influencing Premium Pricing in E-Marketplaces. AMCIS 2018 Proceedings. 10. 2018. Available online: https://aisel.aisnet.org/amcis2018/LACAIS/Presentations/10 (accessed on 3 February 2023).
- Sordi, G.F.; Casarotto, E.L.; Sordi, V.F. Online Sports Supplies Store: Factors that Influence Purchasing Decisions. Cent. Univ. Senac 2019, 9, 111–124. [Google Scholar]
- Li, Y.Y.; Yao, L.; Wu, Y.L. Recommendations on Consumers Classification Management on the Analysis of Country-Based Difference of Cross-Border E-Commerce Users Behavior Data; Destech Publications Inc.: Lancaster, PA, USA, 2018; pp. 27–31. [Google Scholar]
- Kraus, C.B.; Dos Santos, T. Consumer Behavior on Online Shopping in China Websites. Cad. Prof. Mark. 2018, 6, 67–81. [Google Scholar]
- Au-Yong-Oliveira, M.; Moreira, F.; Martins, J.; Branco, F.; Goncalves, R. Technology usage as a way to increase safety and security in different geographies: Testimonials on the use of technology in Rio de Janeiro, Brazil. In Proceedings of the 2018 13th Iberian Conference on Information Systems and Technologies [CISTI], Caceres, Spain, 13–16 June 2018; pp. 1–7. [Google Scholar] [CrossRef]
- De Sousa, P.R.d.; Barbosa, M.W.; Oliveira, L.K.d.; Resende, P.T.V.d.; Rodrigues, R.R.; Moura, M.T.; Matoso, D. Challenges, Opportunities, and Lessons Learned: Sustainability in Brazilian Omnichannel Retail. Sustainability 2021, 13, 666. [Google Scholar] [CrossRef]
- Rohden, S.F.; Matos, C.A.d. Online service failure: How consumers from emerging countries react and complain. J. Consum. Mark. 2022, 39, 44–54. [Google Scholar] [CrossRef]
- de Magalhães, D.J.A.V. Analysis of critical factors affecting the final decision-making for online grocery shopping. Res. Transp. Econ. 2021, 87, 101088. [Google Scholar] [CrossRef]
- Sousa, I.L.D.; Nascimento, K.M.; Alves, R. Influence of the Covid-19 Pandemic on Purchasing Behavior and the Perception of Shipping Price and Delivery Time by Brazilian E-shoppers. In Proceedings of the Industrial Engineering and Operations Management, XXVIII IJCIEOM, Mexico City, Mexico, 17–20 July 2022. [Google Scholar]
- Pagan, N.M.; Pagan, K.M.; Giraldi, J.D.E.; Merlo, E.M. Antecedents of trust and purchase intention in social commerce in Brazil. Int. J. Internet Mark. Advert. 2022, 17, 271–298. [Google Scholar] [CrossRef]
- Perinotto, A.R.C.; Araújo, S.M.; Borges, V.P.C.; Soares, J.R.R.; Cardoso, L.; Lima Santos, L. The Development of the Hospitality Sector Facing the Digital Challenge. Behav. Sci. 2022, 12, 192. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Ozturk, A.B.; Pizam, A.; Hacikara, A.; An, Q.; Chaulagain, S.; Balderas-Cejudo, A.; Buhalis, D.; Fuchs, G.; Hara, T.; Vieira de Souza Meira, J.; et al. Hotel customers’ behavioral intentions toward service robots: The role of utilitarian and hedonic values. J. Hosp. Tour. Technol. 2023, 14, 780–801. [Google Scholar] [CrossRef]
- Rocha, L.D.; Silva, G.R.S.; Canedo, E.D. Privacy Compliance in Software Development: A Guide to Implementing the LGPD. In Proceedings of the 38th Annual ACM Symposium on Applied Computing [SAC], Tallinn, Estonia, 27 March–2 April 2023. [Google Scholar]
- Bozzi, C.; Mont’alvão, C. The User Experience [UX] on Female Apparel E-Commerce Websites in Brazil. Work 2020, 66, 945–962. [Google Scholar] [CrossRef] [PubMed]
- De Araujo, M.H.; Reinhard, N. Factors Influencing the Use of Electronic Government Services in Brazil. Rege Rev. Gestão 2015, 22, 585–596. [Google Scholar] [CrossRef]
- Avgerou, C. Explaining Trust in IT-Mediated Elections: A Case Study of E-Voting in Brazil. J. Assoc. Inf. Syst. 2013, 14, 420–451. [Google Scholar] [CrossRef]
- Oliveira, A.S.; Souki, G.Q.; Silva, D.; Rezende, D.C.; Batinga, G.L. Service guarantees in an e-commerce platform: Proposition of a framework based on customers’ expectations, negative experiences and behavioural responses. Asia-Pac. J. Bus. Adm. 2023, 15, 225–244. [Google Scholar] [CrossRef]
- Nery-da-Silva, G.; Pommer Barbosa, R.A.; Figueiredo, J.C.B. The Impact of Socioeconomic and Demographic Factors on the Individual Use of E-Commerce in Brazil: Evidence of the Digital Divide. Int. J. Bus. Inf. Syst. 2023. [Google Scholar] [CrossRef]
- Reis, M.A.S.; Minerbo, C.; Miguel, P.L.S. SCM Professionals’ Competences in Brazil. Braz. J. Oper. Prod. Manag. 2021, 18, 1–17. [Google Scholar] [CrossRef]
- Lopes, E.L.; Freire, O.B.D.; Lopes, E.H. Competing Scales for Measuring Perceived Quality in the Electronic Retail Industry: A Comparison between E-S-Qual and E-Tailq. Electron. Commer. Res. Appl. 2019, 34, 100824. [Google Scholar] [CrossRef]
- De Queiroz, L.S.; Bergamo, F.V.D.; De Melo, J.S. Validating a Conceptual Model of Online Shopping Experience for Brazilian Customers. Rev. Bras. Mark. 2016, 15, 524–539. [Google Scholar]
- Borges, M.; Hoppen, N.; Luce, F.B. Information Technology Impact on Market Orientation in E-Business. J. Bus. Res. 2009, 62, 883–890. [Google Scholar] [CrossRef]
- Grytz, V.K.; Guero, I.R. Reviewing the Legal Framework Applicable to Cross-border E-commerce Transactions in Brazil. Glob. Trade Cust. J. 2023, 18, 444–449. Available online: https://kluwerlawonline.com/journalarticle/Global+Trade+and+Customs+Journal/18.11/GTCJ2023054 (accessed on 3 March 2024). [CrossRef]
- Junqueira, C.A.A. Recent Customs Reforms in Brazil. Glob. Trade Cust. J. 2023, 18, 450–453. [Google Scholar] [CrossRef]
- Varotto, L.F. Retail In Brazil—Historical Rescue and Trends. Rev. Bras. Mark. 2018, 17, 429–443. [Google Scholar] [CrossRef]
- Gouvea, R.; Kapelianis, D.; Montoya, M. Marketing Challenges and Opportunities in Emerging Economies: A Brazilian Perspective. Thunderbird Int. Bus. Rev. 2018, 60, 193–205. [Google Scholar] [CrossRef]
- Tigre, P.B. Brazil in the Age of Electronic Commerce. Inf. Soc. 2003, 19, 33–43. [Google Scholar] [CrossRef]
- Okoli, C.; Mbarika, V.W.A.; McCoy, S. The Effects of Infrastructure And Policy On E-Business In Latin America And Sub-Saharan Africa. Eur. J. Inf. Syst. 2010, 19, 5–20. [Google Scholar] [CrossRef]
- Gibbs, J.; Kraemer, K.L.; Dedrick, J. Environment and Policy Factors Shaping Global E-Commerce Diffusion: A Cross-Country Comparison. Inf. Soc. 2003, 19, 5–18. [Google Scholar] [CrossRef]
- Bigne, E.; Maturana, P. Does Virtual Reality Trigger Visits and Booking Holiday Travel Packages? Cornell Hosp. Q. 2023, 64, 226–245. [Google Scholar] [CrossRef]
- Cunha, B.M.; Lettieri, C.K.; Cadena, G.W.; Pereira, V.R. Analyzing the Influence of COVID-19 on the E-Commerce Customer’s Retail Experience in the Supermarket Industry: Insights from Brazil. Logistics 2023, 7, 53. [Google Scholar] [CrossRef]
- Melo, I.C.; Alves Junior, P.N.; Callefi, J.S.; Kodama, T.K.; Nagano, M.S.; Rebelatto, D.A.N. A Performance Index for Traditional Retailers Incorporating Digital Marketplace: Benchmarking through Data Envelopment Analysis [DEA]. J. Organ. Comput. Electron. Commer. 2022, 32, 196–216. [Google Scholar] [CrossRef]
- Santana, M.A.; Baptista, C.D.; Alves, A.L.F.; Firmino, A.A.; Januário, G.D.; Caldera, R.W.D. Using Machine Learning and NLP for the Product Matching Problem. In Intelligent Sustainable Systems: Selected Papers of WorldS4 2022, Volume 2; Springer Nature Singapore: Singapore, 2023. [Google Scholar]
- Matuszelański, K.; Kopczewska, K. Customer Churn in Retail E-Commerce Business: Spatial and Machine Learning Approach. J. Theor. Appl. Electron. Commer. Res. 2022, 17, 165–198. [Google Scholar] [CrossRef]
- Dos Santos, E.F.; de Carvalho, P.V.R.; Gomes, J.O. Interactions between e-commerce users during the COVID-19 pandemic period: What came and what remained. Work 2022, 73, S177–S187. [Google Scholar] [CrossRef] [PubMed]
- Pulga, U.S.E.M.; de Aragao, J.J.G.; Yamashita, Y. The delivery role as employment creation: Restructuration proposal for chain management allied to delivery apps in COVID-19 pandemic. Rev. Transp. Y Territ. 2021, 25, 30–52. [Google Scholar]
- Haji, K. E-commerce development in rural and remote areas of BRICS countries. J. Integr. Agric. 2021, 20, 979–997. [Google Scholar] [CrossRef]
- De Lara, F.F.; Da Silva, L.D.; Guimaraes, M.R.N. Innovation Practices in E-Commerce Sector: Multicases Study in the Region of Sorocaba/Sp. Rev. Geintec-Gest. Inov. E Tecnol. 2019, 9, 4893–4904. [Google Scholar]
- Souza, M.C.; Saueressig, G.G.; Gustavo Junior, J.U.; Sellitto, M.A. Identification of Loss in Process of E-Commerce by Reference of the Toyota Production System. Cent. Fed. Educ. Tecnológica Rio Gd. Norte 2016, 32, 192–210. [Google Scholar]
- Dos Santos, A.S.; De Miranda, G.J. E-Commerce in Brazil: If the Segment is Promising, Why Acting Companies are Operating at a Loss? Rev. Evidenciação Contábil Finanças 2015, 3, 54–68. [Google Scholar]
- Carlos, M.; Nogueira, M.; Machado, R.J. Analysis of Dengue Outbreaks Using Big Data Analytics and Social Networks. In Proceedings of the 2017 4th International Conference on Systems and Informatics (ICSAI), Hangzhou, China, 11–13 November 2017; IEEE: Piscataway, NJ, USA, 2017; pp. 1592–1597. [Google Scholar]
- Zwerg-Villegas, A.M.; Florez, A.C.; Cardona, L.G. Comparative Quantitative Evaluation of Commercial Web Sites: The Electronic Commerce Level Index. Rev. Ciências Estratégica 2015, 23, 183–192. [Google Scholar]
- Baptista, G.; Oliveira, T. Why So Serious? Gamification Impact in the Acceptance of Mobile Banking Services. Internet Res. 2017, 27, 118–139. [Google Scholar] [CrossRef]
- Belém, F.M.; Silva, R.M.; de Andrade, C.M.V.; Person, G.; Mingote, F.; Ballet, R.; Alponti, H.; de Oliveira, H.P.; Almeida, J.M.; Gonçalves, M.A. Fixing the curse of the bad product descriptions—Search-boosted tag recommendation for E-commerce products. Inf. Process. Manag. 2020, 57, 102289. [Google Scholar] [CrossRef]
- Lobato, L.L.; Fernandez, E.B.; Zorzo, S.D. Patterns to Support the Development of Privacy Policies. In Proceedings of the 2009 International Conference on Availability, Reliability and Security, Fukuoka, Japan, 16–19 March 2009; pp. 744–749. [Google Scholar] [CrossRef]
- Da Costa, V.B.F.; Valerio, V.E.D.; Miranda, R.D.C. Economic analysis of a cosmetic initiative addressing stochastic aspects and risk quantification. Acta Sci. Technol. 2023, 45, e59725. [Google Scholar] [CrossRef]
- de Sousa, H.A.; Klein, L.; Voese, S.B. The Impact of Institutional Pressures on the Use and Maintenance of E-Commerce in Brazilian Micro and Small Enterprises [MSEs]. RBGN-Rev. Bras. Gestão De Negócios 2022, 24, 366–382. [Google Scholar]
- Zanetta, L.D.; Hakim, M.P.; Gastaldi, G.B.; Seabra, L.M.J.; Rolim, P.M.; Nascimento, L.G.P.; Medeiros, C.O.; Cunha, D.T.d. The use of food delivery apps during the COVID-19 pandemic in Brazil: The role of solidarity, perceived risk, and regional aspects. Food Res. Int. 2021, 149, 110671. [Google Scholar] [CrossRef]
- Joia, L.A. Analysing a Web-based e-commerce learning community: A case study in Brazil. Internet Res. 2002, 12, 305–317. [Google Scholar] [CrossRef]
- Pinho, P.C.R.; Barwaldt, R.; Espíndola, D.; Torres, M.; Pias, M.; Topin, L.; Borba, A.; Oliveira, M. Developments in Educational Recommendation Systems: A systematic review. In Proceedings of the IEEE Frontiers in Education Conference [FIE], Covington, KY, USA, 16–19 October 2019; pp. 1–7. [Google Scholar] [CrossRef]
- Olivieri, M.A.; Rodrigues, S.C.M. Essay on E-Learning as an Instrument of Helping People with Severe Motor Limitations; Springer: Berlin, Germany, 2008; Volume 18, pp. 1084–1086. [Google Scholar]
- Silva, L.M.; Filho, E.G.; Thomasi, S.S.; Silva, B.F.; Ferreira, A.G.; Venâncio, T. Use of diffusion-ordered NMR spectroscopy and HPLC-UV-SPE-NMR to identify undeclared synthetic drugs in medicines illegally sold as phytotherapies. Magn. Reson. Chem. 2013, 51, 541–548. [Google Scholar] [CrossRef]
- Viana, C.; Zemolin, G.M.; Müller, L.S.; Dal Molin, T.R.; Seiffert, H.; de Carvalho, L.M. Liquid Chromatographic Determination of Caffeine and Adrenergic Stimulants in Food Supplements Sold in Brazilian E-Commerce for Weight Loss and Physical Fitness. Food Addit. Contam. Part A 2016, 33, 1–9. [Google Scholar] [CrossRef] [PubMed]
- de Sousa, L.T.M.; de Oliveira, L.K.; dos Santos Junior, J.L.; Bertoncini, B.V.; Isler, C.A.; Larranaga, A.M. Influence of neighborhood characteristics on e-commerce deliveries: The case of Belo Horizonte, Brazil. Res. Transp. Econ. 2023, 100, 101329. [Google Scholar] [CrossRef]
- Masteguim, R.; Cunha, C.B. An Optimization-Based Approach to Evaluate the Operational and Environmental Impacts of Pick-Up Points on E-Commerce Urban Last-Mile Distribution: A Case Study in São Paulo, Brazil. Sustainability 2022, 14, 8521. [Google Scholar] [CrossRef]
- Torre, N.M.M.; Salomon, V.A.P.; Loche, E.; Gazale, S.A.; Palermo, V.M. Warehouse Location for Product Distribution by E-Commerce in Brazil: Comparing Symmetrical MCDM Applications. Symmetry 2022, 14, 1987. [Google Scholar] [CrossRef]
- Silva, B.T.; Sampaio, M. Factors influencing cargo robbery in last-mile delivery of e-commerce: An empirical study in Brazil. J. Transp. Secur. 2023, 16, 10. [Google Scholar] [CrossRef]
- Oliveira, L.K.; Oliveira, I.K.; França, J.G.C.B.; Balieiro, G.W.N.; Cardoso, J.F.; Bogo, T.; Bogo, D.; Littig, M.A. Integrating Freight and Public Transport Terminals Infrastructure by Locating Lockers: Analysing a Feasible Solution for a Medium-Sized Brazilian Cities. Sustainability 2022, 14, 10853. [Google Scholar] [CrossRef]
- Novaes, A.G.N.; Chraim, M. Logistics Support to Electronic Commerce in Brazil: Trends and Constraints. In E-Business and Virtual Enterprises. PRO-VE 2000; Camarinha-Matos, L.M., Afsarmanesh, H., Rabelo, R.J., Eds.; IFIP—The International Federation for Information Processing; Springer: Boston, MA, USA, 2001; Volume 56. [Google Scholar] [CrossRef]
- Alves, R.; da Silva Lima, R.; Custódio de Sena, D.; Ferreira de Pinho, A.; Holguín-Veras, J. Agent-Based Simulation Model for Evaluating Urban Freight Policy to E-Commerce. Sustainability 2019, 11, 4020. [Google Scholar] [CrossRef]
- Da Silva, J.V.S.; De Magalhães, D.; Medrado, L. Demand Analysis for Pick-Up Sites as an Alternative Solution for Home Delivery in the Brazilian Context. Transp. Res. Procedia 2019, 39, 462–470. [Google Scholar] [CrossRef]
- Oliveira, L.K.; Morganti, E.; Dablanc, L.; Oliveira, R.L.M. Analysis of the potential demand of automated delivery stations for e-commerce deliveries in Belo Horizonte, Brazil. Res. Transp. Econ. 2017, 65, 34–43. [Google Scholar] [CrossRef]
- Bandeira, R.A.d.M.; Goes, G.V.; Gonçalves, D.N.S.; D’Agosto, M.d.A.; de Oliveira, C.M. Electric vehicles in the last mile of urban freight transportation: A sustainability assessment of postal deliveries in Rio de Janeiro-Brazil. Transp. Res. Part D Transp. Environ. 2019, 67, 491–502. [Google Scholar] [CrossRef]
- Duarte, A.L.d.C.M.; Macau, F.; Silva, C.F.e.; Sanches, L.M. Last Mile Delivery to the Bottom of the Pyramid in Brazilian Slums. Int. J. Phys. Distrib. Logist. Manag. 2019, 49, 473–491. [Google Scholar] [CrossRef]
- Moshref-Javadi, M.; Hemmati, A.; Winkenbach, M.A. Truck and Drones Model for Last-Mile Delivery: A Mathematical Model and Heuristic Approach. Appl. Math. Model. 2020, 80, 290–318. [Google Scholar] [CrossRef]
- Fagnani, R.; Dos Santos Bueno, B.; Mikio Itida, R.; Arena Galhardo, J.; Vanot, R.L. A novel approach in public health surveillance: Searching the illegal dairy trade in Facebook. Int. J. Environ. Health Res. 2023, 33, 518–528. [Google Scholar] [CrossRef] [PubMed]
- Jurburg, D.; López, A.; Carli, I.; Chong, M.; De Oliveira, L.K.; Dablanc, L.; Tanco, M.; De Sousa, P.R. Understanding the Challenges Facing Decarbonization in the E-Commerce Logistics Sector in Latin America. Sustainability 2023, 15, 15718. [Google Scholar] [CrossRef]
- Carvalho, A.F. Illegalities in the online trade of stingless bees in Brazil. Insect Conserv. Divers. 2022, 15, 673–681. [Google Scholar] [CrossRef]
- Pereira, V.D.; Flores, R.B.; Stefani, G.P. Analysis of protein-based supplement labels available on Brazilian e-commerce. Rev. Bras. Nutr. Esportiva 2021, 16, 348–355. Available online: https://www.rbne.com.br/index.php/rbne/article/view/2021 (accessed on 3 April 2024).
- Shaik, S.; Kuruppuarachchi, L.N.; Franchetti, M.J. Carbon Footprint Impact of Holiday e-Commerce: A Case Study of São Paulo, Brazil. Environ. Eng. Manag. J. 2022, 21, 687. [Google Scholar]
- Silva, I.S.T.d.; Fernandes, T.A.; dos Santos, T.M.; Matias, C.A.R.; de Sousa, M.R.P. Non-compliance of sanitary standards in the offer of animal products in e-commerce and the risks to public health. Vigil. Sanit. Debate-Soc. Cienc. Tecnol. 2021, 9, 98–103. [Google Scholar] [CrossRef]
- Willers, G.; Sangaletti, I.P.; Stefani, G.P. Análise de características e conformidade de legislação vigente de suplementos alimentares de BCAAs no e-commerce do mercado brasileiro. Rev. Bras. Nutr. Esportiva 2021, 15, 1–8. [Google Scholar]
- Peres, C.K.; Lambrecht, R.W.; Tavares, D.A.; Chiba de Castro, W.A. Alien Express: The threat of aquarium e-commerce introducing invasive aquatic plants in Brazil. Perspect. Ecol. Conserv. 2018, 16, 221–227. [Google Scholar] [CrossRef]
- Gurjao, L.M.; Barros, G.M.; Lopes, D.P.; Machado, D.A.; Lotufo, T.M. Illegal Trade of Aquarium Species through the Brazilian Postal Service in Ceara State. Mar. Freshw. Res. 2018, 69, 178–185. [Google Scholar] [CrossRef]
- Azevedo, R.S.; Bitencourt, A.; Silva, D.A.; Amorim, A.; Mazzoni, R.; Carvalho, E.F.; Amaral, C.R.L. Genetic Diversity of Geophagus Brasiliensis from the South American Atlantic Rainforest. Forensic Sci. Int. Genet. Suppl. Ser. 2017, 6, 433–434. [Google Scholar] [CrossRef]
- Souza, F.C.P.; Junior, A.A.D.; Petry, J.F.; Soares, A.D.F. Exploring the Antecedents of Loyalty from the Perspective of the E-Commerce Retail Consumer in Brazil. Rev. Bras. Mark. 2021, 22, 301. [Google Scholar] [CrossRef]
- de Moura, F.R.; e Oliveira, R.D.; Feijó, E.R.; da Silva Júnior, F.M.R. Danger is just a click away—A survey on online shopping for glyphosate-based pesticides for gardening/horticulture. Environ. Sci. Policy 2023, 143, 35–43. [Google Scholar] [CrossRef]
- Pranckutė, R. Web of Science (WoS) and Scopus: The titans of bibliographic information in today’s academic world. Publications 2021, 9, 12. [Google Scholar] [CrossRef]
- Zhu, J.; Liu, W. A tale of two databases: The use of Web of Science and Scopus in academic papers. Scientometrics 2020, 123, 321–335. [Google Scholar] [CrossRef]
- Vera-Baceta, M.A.; Thelwall, M.; Kousha, K. Web of Science and Scopus language coverage. Scientometrics 2019, 21, 1803–1813. [Google Scholar] [CrossRef]
Technical and Technological Aspects | The research underscores the critical role of technological and design elements in accepting and using e-commerce platforms [75]. Robust technical support is essential to ensure website usability and reliability, as highlighted in studies by [54,60]. Additionally, the perceived quality of a website significantly impacts various aspects of consumer trust, including transaction security and data privacy. Consumer perceptions of utilitarian and hedonic value also impact customers’ intention to use service robots and other e-commerce technologies [76]. |
Cultural Adaptation and Contextualization | The necessity of culturally adapting international websites is apparent, as it significantly influences user attitudes and purchase intentions [60]. Comparative studies [54,58,62,64,67] illustrate behavioral variations among online consumers from countries like Brazil, Portugal, Spain, the USA, Russia, and other BRIC nations. Despite these findings, the representation of cultural characteristics on B2C websites remains insufficient, as noted by [55]. It is also possible to notice cultural changes in the purchasing behavior of Brazilian consumers post-pandemic. |
Price Sensitivity and Transactional Practices | Research shows a notable price sensitivity among consumers who frequently shop online [59]. Factors such as competitive pricing, product variety, and incentives like free shipping have spurred Brazilian consumers to increasingly utilize Chinese e-commerce websites [68]. Furthermore, analyses of e-marketplaces indicate that premium pricing is influenced by factors like seller reputation, product attributes, and marketing strategies [65] |
Customer Engagement and Relationship Strategies | E-commerce companies must prioritize building and reinforcing their brand and website, offering competitive pricing, and ensuring secure transactions [66]. Implementing customer-centric strategies, such as personalization and social media engagement, is also vital [62,74]. In Brazil, the trust and loyalty fostered by these approaches can significantly boost a brand’s or website’s word-of-mouth promotion [54,61,140]. Satisfactorily fulfilling the order at the moment of online shopping [72] and service recovery satisfaction [71] also can increase repurchase intentions and reduces third-party complaints and negative word-of-mouth. |
Security and Technology Adoption | Distrust remains a challenge in e-commerce, yet factors like inadequate physical security have boosted the appeal of online shopping and home deliveries [69]. In mobile banking [MB] technologies, security and trust are paramount for user adoption. Transparently communicating security measures can reduce perceived risks and enhance user confidence in these platforms [63]. Additionally, the perceived quality of a website significantly impacts various aspects of consumer trust, including transaction security and data privacy [77]. |
Challenges in the Fashion and Accessories Sector | In the online apparel sector, encompassing clothing and accessories, significant challenges arise in the shopping experience. Consumers often prefer physical interaction with these products to assess attributes like texture and fit, which are challenging to convey digitally. The Brazilian clothing industry’s lack of size standardization further complicates online shopping, potentially leading to unsatisfying experiences. When such aspects are not effectively managed on digital platforms, whether accessed via smartphone or computer, they can detrimentally affect the consumer experience [78]. In specialized categories like wedding and party dresses, it is crucial to categorize and comprehend consumer behavior, analyzing transaction trends and the seasonal dynamics of e-commerce [67]. |
E-Government and Digital Skills | Delivering electronic government services presents its own set of challenges. Consumers of these services need specific digital skills, including the use of email, searching for goods and services through e-commerce platforms, and utilizing online financial services. These skills are primarily enabled by internet access in the home and professional settings, which are preferred over public access points like internet cafes and telecenters [79]. |
Trust in Election Technology | Trust in the technologies implemented in electoral processes is a critical aspect. Since the adoption of electronic voting in the 1990s, the trust placed in the technological integrity and the electoral authorities has played a pivotal role in the positive reception of this voting method in Brazil [80]. |
Trust in Election Technology | The basic characteristics of the product show challenges that have not yet been overcome for the virtual sale of the product. Entering product price descriptions and detailed specifications may change this status [9]. |
Comparison of Website Quality Scales | A comparative analysis of various psychometric scales is crucial for accurately assessing website quality. For instance, a study involving the Brazilian populace evaluated the effectiveness of the e-TailQ scale and the ES-Qual scale. The findings indicated that the e-TailQ scale is more adept at measuring customer satisfaction, loyalty, positive word-of-mouth promotion, and repurchase intention in the Brazilian context [84]. Such research underscores the importance of ensuring that the tools for analyzing digital consumer behavior are validated and tailored to specific cultural and economic environments, and are pplicable to the specific cultural and economic context. |
Validation of Frameworks for Online Customer Experience | Validating specific frameworks for measuring the digital shopping experience is crucial to consumer behavior research. A study in Brazil endorsed using the Online Customer Experience framework for analyzing the shopping experience in digital contexts. The research [85] underlines the importance of adapting and validating research instruments to suit the local context, ensuring their relevance and accuracy. |
Analysis of Marketing Orientation Behaviors | Research indicates that Information Technology [IT] applications are invaluable in analyzing digital consumer behaviors related to marketing orientation. Utilizing these applications facilitates understanding consumption patterns and trends, thereby aiding in developing more effective marketing strategies [86]. The recent literature suggests that merchants’ failure to attract customers’ attention [82] and negative experiences are the biggest barriers to e-commerce use [51,81]. Firms operating in service sectors generally demand higher levels of business awareness competences than those in manufacturing sectors [83]. |
The reconfiguration of business structures due to e-commerce | The research presents a historical analysis of retail evolution in Brazil, focusing on the transformative impact of new technologies and the resulting pursuit of innovative structures for entertainment and shopping experiences [89]. Ref. [90] highlights how income redistribution among the Brazilian population presents opportunities and challenges for marketing professionals, particularly in franchising and e-commerce, amidst issues like inadequate logistics and corruption. Furthermore, the literature sheds light on factors influencing the internationalization of Brazilian e-commerce, such as logistical infrastructure similarities among Latin American countries [56]. Studies also emphasize the role of e-business policies in shaping national infrastructure, affecting the sector’s capacity and value [87,88,92]. Additionally, new payment systems have revolutionized the economy, introducing novel social and financial actors to the economic landscape [57]. |
Innovations in measuring and enhancing e-commerce performance | The literature suggests that structural innovations in e-commerce are often driven by market opportunities [97,101], with suppliers playing a pivotal role in introducing new features [102]. Research based on the Toyota Production System analyzes losses in e-commerce processes, pinpointing flaws that impact profitability [103]. Big Data Analytics [105], virtual reality technology [94], and other technologies [98] are employed to gain insights into consumer behavior [105], and the “Electronic Commerce Level Index” [ECLI] is used to evaluate B2C e-commerce performance [106]. Additionally, the implementation of gamification and enhancements in website information are explored as strategies [107,108]. The significant effects of the COVID-19 pandemic on sales strategies are also noted [10,53,81,95,96,99,100], alongside the growing necessity for omnichannel strategies [70]. |
Transformations in traditional business structures influenced by e-commerce | The literature underscores the significant role of the internet and technology in fostering virtual communities centered on learning [113,114]. E-learning technologies facilitate access to knowledge for a broad audience, thereby promoting digital and job market inclusion [115]. Furthermore, studies have discussed techniques for government regulation of electronic commerce in pharmaceutical products, focusing on the oversight and analysis of pharmacological formulations [116,117]. The recent literature evaluates the economic feasibility of a e-commerce platform to small/medium-scale companies or initiatives [110,111] and the adaptations of home delivery apps for use of visually impaired people [112]. |
Concentration in Large Companies | E-commerce in Brazil tends to be dominated by large companies with an established retail presence. A contributing factor to this trend is the scarcity of high-quality distribution services, which poses a significant hurdle for smaller businesses. To address this, some studies, such as those by [123], recommend leveraging intercity bus lines as a logistical solution for rapid shipments. The key challenge lies in establishing an effective logistics network that integrates these bus services, aligning with online consumers’ delivery expectations. |
Direct Delivery to Consumer | Direct home delivery is a prevalent practice for e-commerce products in Brazil, but it often leads to multiple failed delivery attempts attempts [119,120,121,122]. To address this issue, the implementation of “delivery lockers” has been proposed as a way to minimize delivery failures and streamline the process [31]. According to [124], lockers can also reduce the distance covered by delivery trucks and decrease the number of required vehicles. Another viable option is establishing collection points. Research by [125] indicates that 92% of digital consumers would opt for this method if it offered reduced costs and shorter delivery times. |
Automatic Delivery Stations | Despite the prevailing preference for home delivery, automatic delivery stations show potential for significant demand, as de [126] noted. These insights are crucial for informing public policies and identifying logistical innovations tailored to specific urban contexts. |
Last-Mile Delivery [LMD] | The social, environmental, and economic impacts of last-mile delivery [LMD] are examined. Ref. [127] conducted a study evaluating the distribution strategy of a postal company in Rio de Janeiro, proposing sustainable alternatives like electric tricycles for deliveries. Additionally, ref. [50] emphasize the effectiveness of non-motorized and collaborative delivery methods as LMD solutions. The application of LMD in Brazilian favelas is also discussed, underscoring the need for distribution solutions tailored to local contexts, as explored by Duarte et al. 128. Recent literature shows the role of robbery in the LMD of e-commerce [135] and new mathematical models to support decision making [9,120]. |
Route Planning Using Drones | Research studies have delved into mathematical and heuristic approaches for optimizing delivery routes in a multimodal system incorporating trucks and unmanned aerial vehicles [UAVs]. Ref. [129] demonstrates that these methods can significantly reduce waiting times for e-commerce customers in Brazil. |
Energy Consumption and CO2 Emissions | The surge in demand for technologies like social networks, e-commerce, and cloud computing has led to a significant increase in energy consumption for data storage and management, with notable environmental and economic repercussions. A 2020 study by [28] revealed that Brazil emitted 8459 tons of CO2 in 2014, a substantial amount, albeit lower in terms of volume and operational cost than China and the United States. Furthermore, research employing models to thoroughly evaluate the sustainability, cost, and reliability of power and cooling infrastructures in data centers has been conducted in Brazil and the United States [48]. The recent literature also shows opportunities related to improvement in the decarbonization strategies of the logistics sector [131,134]. |
Illegal Trade in Biological and illegal Products | From an environmental perspective, e-commerce in Brazil inadvertently facilitates the illegal trade of biological organisms [132]. Despite Brazilian laws prohibiting the commercialization and distribution of living or dead organisms via e-commerce, instances of digital smuggling persist. This includes the illicit trade of plants [137], aquarium species [138], and fish from the Atlantic Forest [139] to various regions of the country. Additionally, research points out that not all species involved in these seizures are native to Brazil, posing risks of bioinvasion. These studies recommend that Brazilian authorities enhance the monitoring of smuggled species and improve regulations governing e-commerce sales to better protect the environment. It is also important to mention that negligence by companies in providing information about the safety of using pesticides and by public authorities in supervising this activity has had important impacts on the commercialization of such substances via e-commerce [141]. Finally, the literature shows the critical need for internet-based biosurveillance to describe the Brazilian e-commerce of non-inspected dairy products [130] and other food products [133,135,136]. |
Agenda 1 | Expansion of E-Commerce in Less Developed Regions |
|
Agenda 2 | Sustainability and E-Commerce |
|
Agenda 3 | Technological Innovations and New Forms of Electronic Commerce |
|
Agenda 4 | Consumer Behavior and Personalization |
|
Agenda 5 | Logistical Challenges and “Last Mile” |
|
Agenda 6 | Digital Inclusion and Accessibility |
|
Agenda 7 | Impact of Regulation and Public Policies |
|
Agenda 8 | E-Commerce and Small and Medium Enterprises [SMEs] |
|
Agenda 9 | Health and Safety in E-Commerce |
|
Agenda 10 | International Comparative Analysis |
|
Agenda 11 | Country’s Physical and Digital Infrastructure |
|
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Veiga, C.P.d.; Veiga, C.R.P.d.; Michel, J.d.S.S.; Di Iorio, L.F.; Su, Z. E-Commerce in Brazil: An In-Depth Analysis of Digital Growth and Strategic Approaches for Online Retail. J. Theor. Appl. Electron. Commer. Res. 2024, 19, 1559-1579. https://doi.org/10.3390/jtaer19020076
Veiga CPd, Veiga CRPd, Michel JdSS, Di Iorio LF, Su Z. E-Commerce in Brazil: An In-Depth Analysis of Digital Growth and Strategic Approaches for Online Retail. Journal of Theoretical and Applied Electronic Commerce Research. 2024; 19(2):1559-1579. https://doi.org/10.3390/jtaer19020076
Chicago/Turabian StyleVeiga, Claudimar Pereira da, Cássia Rita Pereira da Veiga, Júlia de Souza Silva Michel, Leandro Ferreira Di Iorio, and Zhaohui Su. 2024. "E-Commerce in Brazil: An In-Depth Analysis of Digital Growth and Strategic Approaches for Online Retail" Journal of Theoretical and Applied Electronic Commerce Research 19, no. 2: 1559-1579. https://doi.org/10.3390/jtaer19020076
APA StyleVeiga, C. P. d., Veiga, C. R. P. d., Michel, J. d. S. S., Di Iorio, L. F., & Su, Z. (2024). E-Commerce in Brazil: An In-Depth Analysis of Digital Growth and Strategic Approaches for Online Retail. Journal of Theoretical and Applied Electronic Commerce Research, 19(2), 1559-1579. https://doi.org/10.3390/jtaer19020076