Information and Communication Technologies (ICTs) have been an ally of women wishing to engage in entrepreneurial activity, especially of the mompreneurs. Within this context, this study aims to investigate the antecedents and outcomes of the use of ICTs by mompreneurs. The data were collected in Brazil through an online questionnaire and were analyzed using structural equation modeling. The results indicated that perceived usefulness, social influence, and trust are antecedent factors of the use of ICTs by these women. Moreover, the use of ICTs has a positive impact on the perception of mompreneurs regarding the financial performance of their ventures in relation to competitors. The results also show that more than 97% of the mompreneurs use smartphones and WhatsApp to manage their business, suggesting that social media and mobile devices have assumed a predominant role in female ventures, especially during the COVID-19 pandemic, period in which the data were collected.
Aguirre-UrretaMIHuJ (2019) Detecting common method bias: Performance of the harman’s single-factor TestACM SIGMIS Database: the DATABASE for Advances in Information Systems50(2): 45–70.
2.
AininSParveenFMoghavvemiS, et al. (2015) Factors influencing the use of social media by SMEs and its performance outcomes. Industrial Management & Data Systems115(3): 570–588.
3.
AjefuJB (2019) Does having children affect women’s entrepreneurship decision? Evidence from Nigeria. Review of Economics of the Household17(3): 843–860.
4.
AkturanUTezcanN (2012) Mobile banking adoption of the youth market. Marketing Intelligence & Planning30: 444–459.
5.
AlalwanAADwivediYKRanaNP (2017) Factors influencing adoption of mobile banking by jordanian bank customers: Extending UTAUT2 with trust. International Journal of Information Management37(3): 99–110.
6.
AlecchiBA (2020) Toward realizing the potential of Latin America’s women entrepreneurs: An analysis of barriers and challenges. Latin American Research Review55(3): 496–514.
7.
AlexandreLKharabshehR (2019) The evolution of female entrepreneurship in the gulf cooperation council, the case of Bahrain. International Journal of Gender and Entrepreneurship11(4): 390–407.
8.
BaabdullahAM (2018) Consumer adoption of Mobile social network games (M-SNGs) in Saudi Arabia: The role of social influence, hedonic motivation and trustTechnology in Society53: 91–102.
9.
BeningerSAjjanHMostafaRB, et al. (2016) A road to empowerment: Social media use by women entrepreneurs in Egypt. International Journal of Entrepreneurship and Small Business27(2–3): 308–332.
10.
BiernackiPWaldorfD (1981) Snowball sampling: Problems and techniques of chain referral sampling. Sociological Methods & Research10(2): 141–163.
11.
Briz-PonceLPereiraACarvalhoL, et al. (2017) Learning with mobile technologies–Students’ behavior. Computers in Human Behavior72: 612–620.
12.
ChauhanS (2015) Acceptance of mobile money by poor citizens of India: Integrating trust into the technology acceptance model. Info17(3): 58–68.
13.
ConstantinidisC (2011) How do women entrepreneurs use the virtual network facebook? The impact of gender. International Journal of Entrepreneurship & Innovation12(4): 257–269.
14.
CostinY (2011) ICT As an enabler for small firm growth: The case of the mompreneur. International Journal of E-Politics (IJEP)2(1): 17–29.
15.
CrittendenVLCrittendenWFAjjanH (2019). Empowering women micro-entrepreneurs in emerging economies: The role of information communications technology. Journal of Business Research98: 191–203.
16.
DavisFD (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly13: 319–340.
17.
GençMOksuzB (2015) A fact or an illusion: Effective social media usage of female entrepreneurs. Procedia-Social and Behavioral Sciences195: 293–300.
18.
GichukiCNMulu-MutukuM (2018) Determinants of awareness and adoption of mobile money technologies: Evidence from women micro entrepreneurs in Kenya. Women’s Studies International Forum67: 18–22.
19.
HansenJMSaridakisGBensonV (2018) Risk, trust, and the interaction of perceived ease of use and behavioral control in predicting consumers’ use of social media for transactions. Computers in Human Behavior80: 197–206.
20.
HaukNHüffmeierJKrummS (2018) Ready to be a silver surfer? A meta-analysis on the relationship between chronological age and technology acceptance. Computers in Human Behavior84: 304–319.
21.
HsuCYuCWuC (2014) Exploring the continuance intention of social networking websites: An empirical research. Information Systems and e-Business Management12(2): 139–163.
22.
Hung-ChouLTe-YungCSu-HuiK (2018) Effects of social influence and system characteristics on traceable agriculture product reuse intention of elderly people: Integrating trust and attitude using the technology acceptance model. Journal of Research in Education Sciences63(3): 291–319.
23.
IdemudiaECRaisinghaniMSSamuel-OjoO (2018) The contributing factors of continuance usage of social media: An empirical analysis. Information Systems Frontiers20(6): 1267–1280.
24.
IRME - Instituto Rede Mulher Empreendedora. (2016) Quem são Elas?: Uma Visão Inédita do Perfil da Mulher Empreendedora no Brasil. (Who are they?: an unprecedented view of the profile women entrepreneurs in Brazil) Available at: https://materiais.rme.net.br/pesquisa-quem-sao-elas (accessed 07 Jul 2021)
25.
IsmailIHusinNRahimNA, et al. (2016) Entrepreneurial success among single mothers: the role of motivation and passion. Procedia Economics and Finance, 37: 121–128.
26.
JaziriRMiralamM (2019) Modelling the crowdfunding technology adoption among novice entrepreneurs: An extended TAM model. Entrepreneurship and Sustainability Issues7(1): 353–374.
27.
JeanMForbesCS (2012) An exploration of the motivations and expectation gaps of mompreneurs. Journal of Business Diversity12(2): 112–130.
28.
Jiménez-ZarcoAIGonzález-GonzálezIMartínez-RuízMP, et al. (2015) New service innovation success: Analyzing the influence of performance indicator nature. Computers in Human Behavior51: 1024–1031.
29.
JoseS (2018) Strategic use of digital promotion strategies among female emigrant entrepreneurs in UAE. International Journal of Emerging Markets13(6): 1699–1718.
30.
KimDJHebelerJYoonV, et al. (2018) Exploring determinants of semantic web technology adoption from IT professionals’ perspective: Industry competition, organization innovativeness, and data management capability. Computers in Human Behavior86: 18–33.
31.
KoukiA (2015) Joint impact of ERP systems and non financial performance indicators on corporate financial performance: Evidence from French listed companies. Management Science Letters5(1): 1–10.
32.
KrakauerPVCMoraesGHSMCodaR, et al. (2018) Brazilian Women’s entrepreneurial profile and intention. International Journal of Gender and Entrepreneurship10(4): 361–380.
33.
LiuDGuoX (2017) Exploring gender differences in acceptance of mobile computing devices among college students. Information Systems and e-Business Management15(1): 197–223.
34.
MackEAMarie-PierreLRedicanK (2017) Entrepreneurs’ use of internet and social media applications. Telecommunications Policy41(2): 120–139.
35.
MadenC (2015) A gendered lens on entrepreneurship: Women entrepreneurship in Turkey. Gender in Management: An International Journal30(4): 312–331.
36.
MalaquiasRFHwangY (2016) An empirical study on trust in mobile banking: A developing country perspective. Computers in Human Behavior54: 453–461.
37.
MarquesCLealCFerreiraJ, et al. (2020) The formal-informal dilemma for women micro-entrepreneurs: Evidence from Brazil. Journal of Enterprising Communities: People and Places in the Global Economy14(5): 665–685.
38.
MarshallMIFlaigA (2014) Marriage, children, and self-employment earnings: An analysis of self-employed women in the US. Journal of Family and Economic Issues35(3): 313–322.
39.
MathewV (2010) Women entrepreneurship in Middle East: Understanding barriers and use of ICT for entrepreneurship development. International Entrepreneurship and Management Journal6(2): 163–181.
40.
MoghavvemiSSallehNAMZhaoW, et al. (2012) The entrepreneur’s perception on information technology innovation adoption: An empirical analysis of the role of precipitating events on usage behavior. Internet Research14(2): 231–246.
41.
NelPMaritzAThongprovatiO (2010) Motherhood and entrepreneurship: The mumpreneur phenomenon. The International Journal of Organizational Innovation3(1): 6–34.
42.
OliveiraTFariaMThomasMA, et al. (2014) Extending the understanding of mobile banking adoption: When UTAUT meets TTF and ITM. International Journal of Information Management34(5): 689–703.
43.
OrserBRidingALiY (2019) Technology adoption and gender-inclusive entrepreneurship education and training. International Journal of Gender and Entrepreneurship11(3): 273–298.
44.
OzimekPBierhoffH (2016) Facebook use depending on age: The influence of social comparisons. Computers in Human Behavior61: 271–279.
45.
Ozkazanc-PanBMunteanSC (2018) Networking towards (in) equality: Women entrepreneurs in technology. Gender,Work & Organization25(4): 379–400.
46.
PavlouPA (2007) Understanding and mitigating uncertainty in online exchange relationships: A principal–agent perspective. MIS Quartely31(1): 105–136.
47.
PodsakoffPMMackenzieSBLeeJY, et al. (2003) Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology88(5): 879–903.
PrajogoDOlhagerJ (2012) Supply chain integration and performance: The effects of long-term relationships, information technology and sharing, and logistics integration. International Journal of Production Economics135(1): 514–522.
50.
QiYHuoBWangZ, et al. (2017) The impact of operations and supply chain strategies on integration and performance. International Journal of Production Economics185: 162–174.
51.
QinLKimYHsuJ, et al. (2011) The effects of social influence on user acceptance of online social networks. International Journal of Human-Computer Interaction27(9): 885–899.
52.
Richomme-HuetKVialV (2014) Business lessons from a “mompreneurs” network. Global Business and Organizational Excellence33(4): 18–27.
53.
RogersEM (2003) Diffusion of Innovations. 5th ed.New York NY: Free Press.
SiamagkaNTChristodoulidesGMichaelidouN, et al. (2015) Determinants of social media adoption by B2B organizations. Industrial Marketing Management51: 89–99.
56.
Strobino MR deCTeixeiraRM (2014). Female entrepreneurship and work-family conflict: Multicases study in the commerce sector of construction material in the city of Curitiba. RAUSP Management Journal49(1): 59–76.
57.
TajudeenFPJaafarNIAininS (2018) Understanding the impact of social media usage among organizations. Information & Management55(3): 308–321.
58.
Van-DeursenAJAMVan-DijkJAGMPeterM (2015) Increasing inequalities in what we do online: A longitudinal cross sectional analysis of internet activities among the Dutch population (2010 to 2013) over gender, age, education, and income. Telematics and Informatics32(2): 259–272.
59.
VickerySKJayaramJDrogeC, et al. (2003) The effects of an integrative supply chain strategy on customer service and financial performance: An analysis of direct versus indirect relationships. Journal of Operations Management21(5): 523–539.
60.
WelshDHBKaciakETrimiS, et al. (2018) Women entrepreneurs and family firm heterogeneity: Evidence from an emerging economy. Group Decision and Negotiation27: 445–465.
61.
WorkmanM (2014) New media and the changing face of information technology use: The importance of task pursuit, social influence, and experience. Computers in Human Behavior31: 111–117.
62.
YadavRSharmaSKTarhiniA (2016) A multi-analytical approach to understand and predict the mobile commerce adoption. Journal of Enterprise Information Management29(2): 222–237.
63.
YuYLiMLiX, et al. (2018) Effects of entrepreneurship and IT fashion on SMEs’ transformation toward cloud service through mediation of trustInformation & Management55(2): 245–257.
64.
ZaremohzzabiehZSamahBAMuhammadM, et al. (2016) Information and communications technology acceptance by youth entrepreneurs in rural Malaysian communities: The mediating effects of attitude and entrepreneurial intention. Information Technology for Development22(4): 606–629.
65.
ZhangTTaoDQuX, et al. (2020) Automated vehicle acceptance in China: Social influence and initial trust are key determinants. Transportation Research Part C: Emerging Technologies112: 220–233.
66.
ZlatevJJDanielsDPKimH, et al. (2017) Default neglect in attempts at social influence. Proceedings of the National Academy of Sciences114(52): 13643–13648.
67.
ZuiderwijkAJanssenMDwivediYK (2015) Acceptance and use predictors of open data technologies: Drawing upon the unified theory of acceptance and use of technology. Government Information Quarterly32(4): 429–440.
