This study investigates the significant influence of patriarchy on the potential acceptance and use of local digital government innovations in resource-constrained countries, building on studies that highlight patriarchy’s impactful role in shaping innovation. The Unified Theory of Acceptance and Use of Technology (UTAUT) was adopted as the evaluation theory ( 270) using Ethiopia as a case study. The results from structural equation modeling (SEM) reveal that patriarchy moderates the relationship between facilitating conditions and usage behavior. Contrary to conventional assumptions, we found that despite facing systemic barriers, women demonstrated higher engagement levels with the local digital innovation compared to their male counterparts, even when they did not perceive direct job-related benefits. This revelation not only challenges prevailing gender stereotypes but also underscores the resilience of women in circumventing patriarchal constraints. The study significantly contributes to theory by contextualizing the UTAUT model within a patriarchal framework, bringing out how societal norms and gender dynamics shape technology adoption in public sector settings. Practically, our findings advocate for gender-sensitive policies and interventions to bridge digital divides, emphasizing the need for inclusive strategies that account for underlying societal structures. By providing empirical evidence from a resource-constrained setting, this research offers important insights for policymakers, practitioners, and researchers aiming to foster equitable digital engagement and harness the full potential of digital government innovations.
AbdullahN.A.ChongM.WidjajaW., & ShahrillM. (2017). Utilizing lesson study in improving year 12 students’ learning and performance in mathematics. Mathematics Education Trends and Research, 24–31. doi: 10.5899/2017/metr-00095.
2.
Abu-ShanabE.A. (2017). E-government familiarity influence on Jordanians’ perceptions. Telematics and Informatics, 34(1), 103–113. doi: 10.1016/j.tele.2016.05.001.
3.
Abu-shanabE., & Al-jamalN. (2015). Exploring the gender digital divide in Jordan. Gender, Technology and Development, 19, 91–113. doi: 10.1177/0971852414563201.
4.
Abu-shanabE., & ShehabatI. (2018). The influence of knowledge management practices on e-government success: A proposed framework tested. Transforming Government: People, Process and Policy, 12, 286–308. doi: 10.1108/TG-02-2018-0016.
5.
AbubakarN.H., & DasukiS.I. (2018). Empowerment in their hands: use of WhatsApp by women in Nigeria. Gender, Technology and Development, 0(0), 164–183. doi: 10.1080/09718524.2018.1509490.
6.
AdilM.S.OwaisM., & QamarA. (2018). Impact of occupational stress, interpersonal trust, and organizational commitment on valence, OCB and job satisfaction: A variance-based SEM analysis. Journal of Management Sciences, 5(1), 38–61. doi: 10.20547/jms.2014.1805103.
7.
AgarwalR., & PrasadJ. (1998). The antecedents and consequents of user perceptions in information technology adoption. Decision Support Systems, 22(1), 15–29. doi: 10.1016/S0167-9236(97)00006-7.
8.
AhnN.ParkJ.E.LeeD.H., & HongP.C. (2020). Balancing personal privacy and public safety in COVID-19? Case of Korea and France. IEEE, Multidisciplinary, Rapid Review, Open Access Journal, XX, 1–9. doi: 10.1109/ACCESS.2020.
9.
Al-GahtaniS.S.HubonaG.S., & WangJ. (2007). Information technology (IT) in Saudi Arabia: Culture and the acceptance and use of IT. Information and Management, 44(8), 681–691. doi: 10.1016/j.im.2007.09.002.
10.
AlamM.Z.HoqueM.R.HuW., & BaruaZ. (2020). Factors influencing the adoption of mHealth services in a developing country: A patient-centric study. International Journal of Information Management, 50(April 2019), 128–143. doi: 10.1016/j.ijinfomgt.2019.04.016.
11.
AliM.B.WaferS.S., & RamloganR. (2019). Aspectual analysis of e-government adoption barriers: A citizens perspective. In BAM CONFERENCE. FURTHER DETAILS?
12.
AlshehriM.DrewS.AlhussainT., & AlghamdiR. (2012). The effects of website quality on adoption of e-government service: An empirical study applying UTAUT model using SEM. In ACIS 2012: Proceedings of the 23rd Australasian Conference on Information Systems, pp. 1–13.
13.
AmeenN., & WillisR. (2019). Towards closing the gender gap in Iraq: Understanding gender differences in smartphone adoption and use. Information Technology for Development, 25(4), 660–685. doi: 10.1080/02681102.2018.1454877.
14.
AttuquayefioS.N. (2014). Using the UTAUT model to analyze students’ ICT adoption. International Journal of Education and Development Using Information and Communication Technology, 10, 75–86.
15.
BayehE. (2016). The role of empowering women and achieving gender equality to the sustainable development of Ethiopia. Pacific Science Review B: Humanities and Social Sciences, 2(1), 37–42. doi: 10.1016/j.psrb.2016.09.013.
16.
BekanaD.M. (2020). Policies of gender equality in Ethiopia: The transformative perspective. International Journal of Public Administration, 43(4), 312–325. doi: 10.1080/01900692.2019.1628060.
17.
BhatiaseviV. (2016). An extended UTAUT model to explain the adoption of mobile banking. Information Development, 32(4), 799–814. doi: 10.1177/0266666915570764.
18.
ChatterjeeS.BhattacharjeeK.K.TsaiC.W., & AgrawalA.K. (2021). Impact of peer influence and government support for successful adoption of technology for vocational education: A quantitative study using PLS-SEM technique. Quality and Quantity, (0123456789). doi: 10.1007/s11135-021-01100-2.
19.
ChenL.ChenC., & ChenC. (2010). Are educational background and gender moderator variables for leadership, satisfaction and organizational commitment? African Journal of Business Management, 4(2), 248–261.
20.
ChiuJ.L.BoolN.C., & ChiuC.L. (2017). Challenges and factors influencing initial trust and behavioral intention to use mobile banking services in the Philippines. Asia Pacific Journal of Innovation and Entrepreneurship, 11(2), 246–278. doi: 10.1108/APJIE-08-2017-029.
21.
ChoiT., & ChandlerS.M. (2020). Knowledge vacuum: An organizational learning dynamic of how e-government innovations fail. Government Information Quarterly, 37(1), 101416. doi: 10.1016/j.giq.2019.101416.
22.
ChoukiM.TaleaM.OkarC., & ChroquiR. (2020). Barriers to information technology adoption within small and medium enterprises: A systematic literature review. International Journal of Innovation and Technology Management, 17(1). doi: 10.1142/S0219877020500078.
23.
DavisF.D.BagozziR.P., & WarshawPR. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35, 982. doi: 10.1287/mnsc.35.8.982.
24.
DeLemosJ.L.BruggeD.CajeroM.DownsM.DurantJ.L.GeorgeC.M.Henio-AdekyS.NezT.ManningT.RockT.SeschillieB.ShueyC., & LewisJ. (2009). Development of risk maps to minimize uranium exposures in the Navajo Churchrock mining district. Environmental Health, 8, 1–15. doi: 10.1186/1476-069X-8-29.
25.
DemekeM.A., & GebruS.G. (2015). The millennium development goals and the status of gender disparity in Ethiopia: Achievements and challenges. African Journal of Governance and Development, 4(1), 38–58.
26.
DombeuJ.V.F., & RannyaiN. (2014). African e-government research landscape. The African Journal of Information Systems, 6(3), Article 2.
27.
DuffetR.G., & WakehamM. (2016). Social media marketing communications’ effect on attitudes among millennials in South Africa. The African Journal of Information Systems, 8(3), 20.
28.
EsselaarS.StorkC.NdiwalanaA., & Deen-SwarrayM. (2007). ICT usage and its impact on profitability of SMEs in 13 African Countries. Information Technologies and International Development, 4, 87–100. doi: 10.1109/ICTD.2006.301836.
29.
FanY.ChenJ.ShirkeyG.JohnR.WuS.R.ParkH., & ShaoC. (2016). Applications of structural equation modeling (SEM) in ecological studies: An updated review. Ecological Processes, 5(9). doi: 10.1186/s13717-016-0063-3.
30.
FaqihK.M.S., & JaradatM.I.R.M. (2015). Assessing the moderating effect of gender differences and individualism-collectivism at individual-level on the adoption of mobile commerce technology: TAM3 perspective. Journal of Retailing and Consumer Services, 22, 37–52. doi: 10.1016/j.jretconser.2014.09.006.
31.
Glavee-GeoR.ShaikhA.A., & KarjaluotoH. (2017). Mobile banking services adoption in Pakistan: Are there gender differences? International Journal of Bank Marketing, 35(7), 1088–1112. doi: 10.1108/IJBM-09-2015-0142.
32.
GohE.SigalaM., & GohE. (2020). Integrating information & communication technologies (ICT) into classroom instruction: Teaching tips for hospitality educators from a diffusion of innovation approach. Journal of Teaching in Travel & Tourism, 00(00), 1–10. doi: 10.1080/15313220.2020.1740636.
33.
Güney-FrahmI. (2018). A new era for women? Some reflections on blind spots of ICT-based development projects for women’s entrepreneurship and empowerment. Gender, Technology and Development, 22(2), 130–144. doi: 10.1080/09718524.2018.1506659.
34.
GuptaB.DasguptaS., & GuptaA. (2008). Adoption of ICT in a government organization in a developing country: An empirical study. Journal of Strategic Information Systems, 17(2), 140–154. doi: 10.1016/j.jsis.2007.12.004.
35.
HaiT.N.VanQ.N.NguyenM., & TuyetT. (2021). Digital transformation: Opportunities and challenges for leaders in the emerging countries in response to Covid-19 pandemic. Emerging Science Journal, 5, 21–36. doi: 10.28991/esj-2021-SPER-03.
36.
HilbertM. (2011). Digital gender divide or technologically empowered women in developing countries? A typical case of lies, damned lies, and statistics. Women’s Studies International Forum, 34(6), 479–489. doi: 10.1016/j.wsif.2011.07.001.
37.
HoqueM.R. (2016). An empirical study of mHealth adoption in a developing country: The moderating effect of gender concern. BMC Medical Informatics and Decision Making, 16(1), 1–10. doi: 10.1186/s12911-016-0289-0.
38.
HoqueR.BaoY., & SorwarG. (2016). Investigating factors influencing the adoption of e-Health in developing countries: A patient’s perspective. Informatics for Health and Social Care, 42(1), 1–17. doi: 10.3109/17538157.2015.1075541.
39.
HsuC.ChangK., & ChenM. (2012). Flow experience and Internet shopping behavior: Investigating the moderating effect of consumer characteristics. Systems Research and Behavioral Science, 332(August 2011), 317–332. doi: 10.1002/sres.1101.
40.
HungW.H.HsiehP.H., & HuangY.D. (2018). Critical factors of the adoption of e-textbooks: A comparison between experienced and inexperienced users. International Review of Research in Open and Distance Learning, 19(4), 171–190. doi: 10.19173/irrodl.v19i4.3854.
41.
IkuabeM.AghimienD.AigbavboaC., & OkeA. (2020). Exploring the adoption of digital technology at the different phases of construction projects in South Africa. Proceedings of the International Conference on Industrial Engineering and Operations Management, 0(March), 1553–1561.
42.
ImI.HongS., & KangM.S. (2011). An international comparison of technology adoption: Testing the UTAUT model. Information and Management, 48(1), 1–8. doi: 10.1016/j.im.2010.09.001.
JanowskiT. (2015). Digital government evolution: From transformation to contextualization. Government Information Quarterly, 32(3), 221–236. doi: 10.1016/j.giq.2015.07.001.
45.
KassaS. (2015). Challenges and opportunities of women political participation in Ethiopia. Journal of Global Economics, 03(04). doi: 10.4172/2375-4389.1000162.
46.
KetemaB.L., & FeredeK.Z. (2020). Factors influencing women’s representation in leadership positions: In case of Ensaro Woredapublic service sectors, Amhara Region, Ethiopia. Journal of Culture, Society and Development, 60, 15–23. doi: 10.7176/jcsd/60-02.
47.
Khasawneh. (2015). An empirical examination of consumer adoption of mobile banking (m-Banking) in Jordan. Journal of Internet Commerce, 14(3), 341–362. doi: 10.1080/15332861.2015.1045288.
48.
Khelghat-DoostH., & SiblyS. (2020). The impact of patriarchy on women’s political participation. International Journal of Academic Research in Business and Social Sciences, 10(3), 396–409. doi: 10.6007/ijarbss/v10-i3/7058.
49.
KusumaH.MuafiM.AjiH.M., & PamungkasS. (2020). Information and communication technology adoption in small- and medium-sized enterprises: Demographic characteristics. Journal of Asian Finance, Economics and Business, 7(10), 969–980. doi: 10.13106/jafeb.2020.vol7.no10.969.
50.
KvasnyL.PaytonF.C.MbarikaV.W.AmadiA., & MesoP. (2008). Gendered perspectives on the digital divide, IT education, and workforce participation in Kenya. IEEE Transaction on Education, 51(2), 256–261. doi: 10.1109/TE.2007.909360.
51.
LazarI.M.PanisoaraG., & PanisoaraI.O. (2020). Digital technology adoption scale in the blended learning context in higher education: Development, validation and testing of a specific tool. PLoS ONE, 15(7 July), 1–27. doi: 10.1371/journal.pone.0235957.
52.
LeidnerD.E., & KayworthT. (2006). Review: A review of culture in information systems research: Toward a theory of information technology culture conflict. MIS Quarterly, 30(2), 357–399.
53.
LiaoS.FeiW.-C., & LiuC.-T. (2008). Relationships between knowledge inertia, organizational learning and organization innovation. Technovation, 28(4), 183–195. doi: 10.1016/j.technovation.2007.11.005.
54.
Liébana-CabanillasF.Sánchez-FernándezJ., & Muñoz-LeivaF. (2014). The moderating effect of experience in the adoption of mobile payment tools in virtual social networks: The m-Payment Acceptance Model in virtual social networks (MPAM-VSN). International Journal of Information Management, 34(2), 151–166. doi: 10.1016/j.ijinfomgt.2013.12.006.
55.
LiebenbergJ.BenadeT., & EllisS. (2018). Acceptance of ICT: Applicability of the Unified Theory of Acceptance and Use of Technology (UTAUT) to South African students. The African Journal of Information Systems, 10(3), 1.
56.
LimW.M.SuC., & PhangC. (2019). Toward a conceptual framework for social media adoption by non-urban communities for non-profit activities: Insights from an integration of grand theories of technology acceptance. Australasian Journal of Information Systems, 23, 1–11.
57.
LinP.C.LuH.K., & LiuS.C. (2013). Towards an education behavioral intention model for e-learning systems: An extension of UTAUT. Journal of Theoretical and Applied Information Technology, 47(3), 1200–1207.
58.
MacueveG. (2008). e-Government for development: A case study from Mozambique. The African Journal of Information Systems, 1(1), 1–17.
59.
MandariH.E., & ChongY.-L. (2018). Gender and age differences in rural farmers’ intention to use m-Government services. Electronic Government, 14(3), 217–239. doi: 10.1504/EG.2018.093406.
60.
MasikaR., & BailurS. (2015). Negotiating women’s agency through ICTs: A comparative study of Uganda and India. Gender, Technology and Development, 19(1), 43–69. doi: 10.1177/0971852414561615.
61.
MawelaT.TwinomurinziH., & OcharaN.M. (2017). Exploring public sector planning for transformational government. Journal of Science and Technology Policy Management, 8(3), 352–374. doi: 10.1108/JSTPM-04-2017-0012.
62.
MeijerA.WebsterC.W.R.BannisterF.BennettC.J.ChenK.ChoiH., & WebsterW. (2020). The COVID-19 crisis and the information polity: An overview of responses and discussions in twenty-one countries from six continents. Information Polity, 25, 243–274. doi: 10.3233/IP-200006.
63.
MensahR.Cater-SteelA., & TolemanM. (2020). Factors affecting e-government adoption in Liberia: A practitioner perspective. Electronic Journal of Information Systems in Developing Countries, 87(3), 1–15. doi: 10.1002/isd2.12161.
64.
MirandaF.J.ChamorroA., & RubioS. (2018). The use of Facebook by local authorities: A comparative analysis of the USA, UK and Spain. Electronic Government, An International Journal, 14(2), 200–216. doi: 10.1504/EG.2018.090927.
65.
MirutsG., & AsfawM. (2014). The implementation of civil service reforms in Ethiopia: The WoredaNet as a sole promoter to implement civil service reform of Tigray national regional state. Civil and Environmental Research, 4(7), 95–102.
66.
MisuracaG., & PasiG. (2019). Landscaping digital social innovation in the EU: Structuring the evidence and nurturing the science and policy debate towards a renewed agenda for social change. Government Information Quarterly, 592–600. doi: 10.1016/j.giq.2019.02.004.
67.
MoranM.HawkesM., & El GayarO. (2010). Tablet personal computer integration in higher education: Applying the unified theory of acceptance and use technology model to understand supporting factors. Journal of Educational Computing Research, 42(1), 79–101. doi: 10.2190/EC.42.1.d.
68.
MpiimaD.M.ManyireH.KabonesaC., & EspilingM. (2019). Gender analysis of agricultural extension policies in Uganda: Informing practice? Gender, Technology and Development, 23(2), 187–205. doi: 10.1080/09718524.2019.1657610.
69.
MullarkeyM.T., & HevnerA.R. (2018). An elaborated action design research process model. European Journal of Information Systems, 1–15. doi: 10.1080/0960085X.2018.1451811.
70.
NdicuS.NguiD., & BarasaL. (2023). Technological catch-up, innovation, and productivity analysis of national innovation systems in developing countries in Africa 2010–2018. Journal of the Knowledge Economy, (0123456789). doi: 10.1007/s13132-023-01327-4.
71.
NugrohoR.P., Anneke Zuiderwijk, Janssen, M., & De JongW.M. (2015). A comparison of national open data policies: Lessons learned. Transforming Government: People, Process and Policy, (August). doi: 10.1108/TG-03-2014-0008.
72.
NyaderaI.N., & KisakaM.O. (2019). The role of gender and women in political institutions in Africa: A case of political parties. Afro Eurasian Studies, 8(1), 124–144. doi: 10.33722/afes.496602.
73.
OgunkoyaO.A. (2018). Adaptive capabilities as predictors of sustainable competitive advantage among selected banks in Nigeria. International Journal of Operational Research in Management, Social Sciences & Education, 4, 53–62.
74.
OrserB.RidingA., & LiY. (2019). Technology adoption and gender-inclusive entrepreneurship education and training. International Journal of Gender and Entrepreneurship, 11(3), 273–298. doi: 10.1108/IJGE-02-2019-0026.
75.
OwoseniA., & TwinomurinziH. (2018). Mobile apps usage and dynamic capabilities: A structural equation model of SMEs in Lagos, Nigeria. Telematics and Informatics, 35(7), 2067–2081. doi: 10.1016/j.tele.2018.07.009.
76.
ParsadC.MittalS., & KrishnankuttyR. (2020). A study on the factors affecting household solar adoption in Kerala, India. International Journal of Productivity and Performance Management, 69(8), 1695–1720. doi: 10.1108/IJPPM-11-2019-0544.
77.
PashapaT., & RivettU. (2017). Gender of household head and the digital divide in South Africa’s settlements. Gender, Technology and Development, 21(3), 232–249. doi: 10.1080/09718524.2018.1434994.
78.
PurushothamanA., & ZhouC. (2014). Change toward a creative society in developing contexts – Women’s barriers to learning by information and communication technology. Gender, Technology and Development, 18(3), 363–386. doi: 10.1177/0971852414544008.
79.
RahiS.NgahA.H., & GhaniM.A. (2018). A structural equation model for evaluating user’s intention to adopt internet banking and intention to recommend technology. Growing Science, (April). doi: 10.5267/j.ac.2018.03.002.
80.
RahmanA.L.A.JamaludinA., & MahmudZ. (2011). Intention to use digital library based on modified UTAUT model: Perspectives of Malaysian postgraduate students. World Academy of Science, Engineering and Technology, 75(3), 116–122. doi: 10.5281/zenodo.1058274.
81.
RamanA.DonY.KhalidR.HussinF.OmarM.S., & GhaniM. (2014). Technology acceptance on smart board among teachers in Terengganu using UTAUT model. Asian Social Science, 10, 84. doi: 10.5539/ass.v10n11p84.
82.
Ramírez-CorreaP.Rondán-CataluñaF.J.Arenas-GaitánJ., & Martín-VeliciaF. (2019). Analysing the acceptation of online games in mobile devices: An application of UTAUT2. Journal of Retailing and Consumer Services, 50(May), 85–93. doi: 10.1016/j.jretconser.2019.04.018.
83.
ReganK.EvmenovaA.S.MacvittieN.P.LeggettA.IvesS.SchwartzerJ., & Rybicki-NewmanM.P. (2019). A case of early adopters of technology in a social studies classroom. Contemporary Issues in Technology and Teacher Education, 19, 439–468.
84.
RiskinantoA.KelanaB., & HilmawanD.R. (2017). The moderation effect of age on adopting E-payment technology. In 4th Information Systems International Conference 2017, ISICO 2017, Vol. 124, pp. 536–543. Elsevier B.V. doi: 10.1016/j.procs.2017.12.187.
85.
RobinsonA.L., & GottliebJ. (2021). How to close the gender gap in political participation: Lessons from matrilineal societies in Africa. British Journal of Political Science, 51(1), 68–92. doi: 10.1017/S0007123418000650.
86.
SamuelM.DoctorG.ChristianP., & BaradiM. (2020). Drivers and barriers to e-government adoption in Indian cities. Journal of Urban Management, 9(4), 408–417. doi: 10.1016/j.jum.2020.05.002.
87.
Sanchez-FrancoM.J.RamosA.F.V., & VeliciaF.A.M. (2009). The moderating effect of gender on relationship quality and loyalty toward Internet service providers. Information and Management, 46(3), 196–202. doi: 10.1016/j.im.2009.02.001.
88.
SenshawD., & TwinomurinziH. (2020). Designing for digital government innovation in resource constrained countries: The case of Woredas in Ethiopia. In 15th International Conference on Design Science Research in Information Systems and Technology. Kristiansand, Norway: Springer.
89.
SiddiqueeN.A. (2008). E-government and innovations in service delivery: The Malaysian experience. International Journal of Public Administration, 31(7), 797–815. doi: 10.1080/01900690802153053.
90.
SideridisG.SimosP.PapanicolaouA., & FletcherJ. (2014). Using structural equation modeling to assess functional connectivity in the brain: Power and sample size considerations. Educational and Psychological Measurement, 74(5), 733–758. doi: 10.1177/0013164414525397.
91.
Sorn-inK.TuamsukK., & ChaopanonW. (2014). Factors affecting the development of e-government using a citizen-centric approach. Journal of Science and Technology Policy Management, 6(3), 206–222. doi: 10.1108/JSTPM-05-2014-0027.
92.
SukiN.M., & SukiN.M. (2017). Determining students’ behavioural intention to use animation and storytelling applying the UTAUT model: The moderating roles of gender and experience level. International Journal of Management Education, 15(3), 528–538. doi: 10.1016/j.ijme.2017.10.002.
93.
SyedR.BandaraW., & EdenR. (2023). Public sector digital transformation barriers: A developing country experience. Information Polity, 28(1), 5–27. doi: 10.3233/IP-220017.
94.
TaiY., & KuY.C. (2013). Will stock investors use mobile stock trading? A benefit-risk assessment based on a modified UTAUT model. Journal of Electronic Commerce Research, 14(1), 67–84.
95.
TanP.J.B. (2013). Applying the UTAUT to understand factors affecting the use of English e-learning websites in Taiwan. Sage Open, 3(4), 1–12. doi: 10.1177/2158244013503837.
96.
TangT., & HoA.T.K. (2019). A path-dependence perspective on the adoption of Internet of Things: Evidence from early adopters of smart and connected sensors in the United States. Government Information Quarterly, 36(2), 321–332. doi: 10.1016/j.giq.2018.09.010.
97.
TwizeyimanaJ.D., & AnderssonA. (2019). The public value of e-government – A literature review. Government Information Quarterly, 36(2), 167–178. doi: 10.1016/j.giq.2019.01.001.
98.
UdujiJ.I., & Okolo-obasiE.N. (2018). Young rural women’s participation in the e-wallet programme and usage intensity of modern agricultural inputs in Nigeria. Gender, Technology and Development, 0(0), 1–23. doi: 10.1080/09718524.2018.1445894.
99.
VenkateshV., & DavisF.D. (2000). Theoretical extension of the Technology Acceptance Model: Four longitudinal field studies. Management Science, 46(2), 186–204. doi: 10.1287/mnsc.46.2.186.11926.
100.
VenkateshV.MorrisM.G.DavisG.B., & DavisF.D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27, 425–478.
101.
VenkateshV.ThongJ.Y.L., & XuX. (2012). Consumer acceptance and use of information technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly, 36(1), 157–178. doi: 10.2307/41410412.
102.
WildenR., & GuderganS.P. (2015). The impact of dynamic capabilities on operational marketing and technological capabilities: Investigating the role of environmental turbulence. Journal of the Academy of Marketing Science, 43, 181–199. doi: 10.1007/s11747-014-0380-y.
103.
WolfK., & FreseM. (2018). Why husbands matter: Review of spousal influence on women entrepreneurship in sub-Saharan Africa. Africa Journal of Management, 4(1), 1–32. doi: 10.1080/23322373.2018.1428019.
104.
WorkinehA.C., & GebremeskelS. (2021). Effect of cultural values on human resource management practices: Evidence from the Ethiopian public sector. OPUS: HR Journal, 12(1), 17–46. Retrieved from //www.publishingindia.com/opus/%0A.
105.
YavwaY., & TwinomurinziH. (2021). Intricacy of indigenous culture on digital government adoption: A systematic review. The International Journal of Technology, Knowledge, and Society, 17(1), 49–68. doi: 10.18848/1832-3669/CGP/v17i01/49-68.
