Factors affecting the adoption of information technologies by small woman-managed enterprises in Cameroon

Kamdjoug, Jean Robert Kala; Chengo, Sandra Manuela Djuitchou; Gueyié, Jean‐Pierre

doi:10.1080/08276331.2020.1716134

Cited by 4 publications

(2 citation statements)

References 44 publications

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“…The study also supported H3, which examined the negative association between perceived cost and SMEs' intention to adopt AI-based chatbots. Wong et al [62], Ghobakhloo and Ching [81] and Kala Kamdjoug et al [82] reported similar findings regarding SMEs' adoption of new technology. In other words, because SMEs face more significant financial constraints than do larger businesses [92,93], they will be less likely to adopt AI-based chatbots when they perceive the cost of implementing and maintaining such systems to be high.…”

Section: B Measurement Modelmentioning

confidence: 69%

“…Ghobakhloo and Ching's [81] study demonstrated that the cost factor is positively associated with SMEs' increased adoption of smart manufacturing technologies. Kala Kamdjoug et al [82] reported similar results when examining factors affecting the IT adoption of Cameroon's women-managed small enterprises. The similarly expensive nature of AI adoption has affected businesses' adoption of this technology [66].…”

Section: Technological Factorsmentioning

confidence: 75%

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Why Do SMEs Adopt Artificial Intelligence-Based Chatbots?

Sharma

Singh

Islam

et al. 2024

IEEE Trans. Eng. Manage.

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Developments in artificial intelligence (AI) have led to the emergence of new technologies offering unique business opportunities. This study examines the factors influencing AI-based chatbot implementation by small and medium enterprises (SMEs). We grounded the study's conceptual model in the technology-organisation-environment (TOE) framework. Employing a quantitative research methodology, we collected data from 292 SME respondents via an online survey. We then utilised covariance-based structural equation modelling (CB-SEM) to analyse the data. The empirical results reveal that perceived employee capability, perceived availability of financial support, perceived top management support, perceived cost, perceived complexity and perceived relative advantage are positively associated with SMEs' AI-based chatbot adoption intention. This study thus contributes to the scarce literature on the adoption of AI-based chatbots for SMEs in developing small island countries. The findings provide meaningful insights to developers, marketers and SMEs to enhance firms' performance and competitiveness by increasing the adoption of AI-based chatbots.

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