How does Unified Theory of Acceptance and Use of Technology (UTAUT) Work on Adopting Financial Technology (FinTech) by MSMEs?

Wismantoro, Yohan; Susilowati, Mg. Westri Kekalih

doi:10.33633/jpeb.v6i2.4826

Cited by 3 publications

(6 citation statements)

References 3 publications

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“…However, the effect of EE on intentions to adopt digitalization in SME was statistically insignificant. This finding is in sharp contrast with extant studies (Razak et al, 2017;Wismantoro and Susilowati, 2021).…”

Section: Multi-group Analysiscontrasting

confidence: 99%

“…Again, a manager who perceives a new technology as easier to adopt for his company is more likely to make a positive decision to adopt it and engender the intention to use it. According to various academicians, SME managers will strengthen their intentions to adopt a digital system to the extent that it does not represent a Extending UTAUT with competitive pressure considerable effort (Wismantoro and Susilowati, 2021). This is consistent with findings in the studies conducted by Saad e and Bahli (2005) and Razak et al (2017), which summarize that SME owners often attach great importance to the ease of use of digital tools for their enterprise activities.…”

Section: Effort Expectancysupporting

confidence: 80%

“…Step 3b (Alrousan et al, 2021;Alhaimer, 2019;Cheng, 2019;El-Masri and Tarhini, 2017;Henao-Ram ırez and Lopez-Zapata, 2022;Moghavvemi et al, 2012;Razak et al, 2017;Soong et al, 2020;Wismantoro and Susilowati, 2021). For instance, Alrousan et al (2021) had found that the pressure generated by marketing dynamics has compelled SMEs to adopt e-marketing.…”

Section: Multi-group Analysismentioning

confidence: 99%

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Extending UTAUT with competitive pressure for SMEs digitalization adoption in two European nations: a multi-group analysis

Kwarteng,

Ntsiful,

Diego

et al. 2023

AJIM

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PurposeIn this article, the authors draw-upon an extended unified theory of acceptance and use of technology (UTAUT) and propose a research model involving performance expectancy (PE), effort expectancy (EE), facilitating conditions (FC) and competitive pressure (CP) as potential salient factors explaining the adoption of digitalization in European SMEs. The authors also postulate that there may be cross-cultural differences, thereby leading us to include the country as a moderator in the model.Design/methodology/approachThe authors validate this model with a cross-cultural sample involving 188 owner-managers from the Czech Republic and Slovakia and through the partial least square structural equation modeling (PLS-SEM) techniques as well as multi-group analysis.FindingsThe results using the study’s global dataset indicate that PE, FC and CP significantly affect owner-managers intentions toward digitalization in SMEs. The authors’ application of the multi-group analysis also suggests that although the two countries differ in digitalization adoption intention, the differences are statistically insignificant. In the conclusion, the authors highlight several implications these findings have for theory and practice.Practical implicationsThe authors recommend that the providers of emerging digital technologies should improve on the performance features of those technologies and ensure they are relevant to the SMEs. By doing so, the adoption of digitalization will grow, because owner-managers of SMEs will have the confidence that adopting such technologies will improve their operations. Second, SMEs are required to provide adequate organizational and technical infrastructure to support digitalization adoption.Originality/valueAside from being among the few attempts to extend the explanatory power of UTAUT with PE, EE, FC and CP in investigating digitalization adoption in SMEs context, this study also validates its model with rigorous methodological approach as well as three datasets (global, Czech Republic and Slovakia) thereby strengthening the validity of the results.

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Section: Multi-group Analysiscontrasting

confidence: 99%

Section: Effort Expectancysupporting

confidence: 80%

Section: Multi-group Analysismentioning

confidence: 99%

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Extending UTAUT with competitive pressure for SMEs digitalization adoption in two European nations: a multi-group analysis

Kwarteng,

Ntsiful,

Diego

et al. 2023

AJIM

View full text Add to dashboard Cite

show abstract

“…The MSMEs business development could be in the form of sales volume, business marketing coverage, it was more sustainable. The transaction online technology supported to do so (Wismantoro & Susilowati, 2021). The findings of this study confirmed the research by Hassan and Rahmawati et al, which found that behavioral fintech has a positive and significant impact on MSME business development.…”

Section: Table 6 Specific Indirect Effectssupporting

confidence: 88%

“…Fintech, one of the implementations of digitalization, is used by MSMEs. The fintech context is the interaction between users and applications that has a significant positive impact on fintech usage intentions (Wismantoro & Susilowati, 2021).…”

Section: Introductionmentioning

confidence: 99%

Behavioral Financial Aspects Analysis on MSMEs Business Development of Culinary Sector in Semarang City

Tyoso¹,

Soegiastuti²

2023

JPEB

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This study was proposed to study and analyze behavioral financial technologies for the development of MSMEs in the culinary field in the city of Semarang. There has been a lot of research related to fintech (fintech) or fintech topics or issues, but not much research has been found on behavioral fintech, especially related to MSME business development. The sample of the study is 125 culinary MSMEs in the city of Semarang. The data collected through the questionnaires was then analyzed using smartpls. This study found that financial satisfaction, owner characteristics, social impact, and risk reduction had a positive (significant) impact on behavioral finance, while financial literacy had a significant negative impact on behavioral finance. Behavioral financial factors have a significant positive impact on MSME business development. This means that Behavioral Finance as a mediation variable between Financial Satisfaction, Owner Characteristics, Financial Literacy, Risk Mitigation, Social Influence variables affecting on business development. Many of them (MSMEs) claimed that they have no experience of using digital technologies themselves, in this case, online transaction applications, and they still did not understand financial literacy. Future research on other variables that do have a positive and significant impact on MSME business development. The sample size also needs to be increased in size and diversity of the MSME sector by at least 60-70% in order for the study to better describe the situation and the state of the MSME.Keywords:behavioral finance, financial satisfaction, financial literacy, risk reduction, social impact business development

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AI’s call: Jordan’s MSMEs answer with intent

Abaddi

2024

JEEE

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Purpose Artificial intelligence (AI) is a powerful and promising technology that can foster the performance, and competitiveness of micro, small and medium enterprises (MSMEs). However, the adoption of AI among MSMEs is still low and slow, especially in developing countries like Jordan. This study aims to explore the elements that influence the intention to adopt AI among MSMEs in Jordan and examines the roles of firm innovativeness and government support within the context. Design/methodology/approach The study develops a conceptual framework based on the integration of the technology acceptance model, the resource-based view, the uncertainty reduction theory and the communication privacy management. Using partial least squares structural equation modeling – through AMOS and R studio – and the importance–performance map analysis techniques, the responses of 471 MSME founders were analyzed. Findings The findings reveal that perceived usefulness, perceived ease of use and facilitating conditions are significant drivers of AI adoption, while perceived risks act as a barrier. AI autonomy positively influences both firm innovativeness and AI adoption intention. Firm innovativeness mediates the relationship between AI autonomy and AI adoption intention, and government support moderates the relationship between facilitating conditions and AI adoption intention. Practical implications The findings provide valuable insights for policy formulation and strategy development aimed at promoting AI adoption among MSMEs. They highlight the need to address perceived risks and enhance facilitating conditions and underscore the potential of AI autonomy and firm innovativeness as drivers of AI adoption. The study also emphasizes the role of government support in fostering a conducive environment for AI adoption. Originality/value As in many emerging nations, the AI adoption research for MSMEs in Jordan (which constitute 99.5% of businesses), is under-researched. In addition, the study adds value to the entrepreneurship literature and integrates four theories to explore other significant factors such as firm innovativeness and AI autonomy.

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How does Unified Theory of Acceptance and Use of Technology (UTAUT) Work on Adopting Financial Technology (FinTech) by MSMEs?

Cited by 3 publications

References 3 publications

Extending UTAUT with competitive pressure for SMEs digitalization adoption in two European nations: a multi-group analysis

Extending UTAUT with competitive pressure for SMEs digitalization adoption in two European nations: a multi-group analysis

Behavioral Financial Aspects Analysis on MSMEs Business Development of Culinary Sector in Semarang City

AI’s call: Jordan’s MSMEs answer with intent

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