Understanding ICT adoption amongst SMEs in Uganda: Towards a participatory design model to enhance technology diffusion

Kyakulumbye, Stephen; Pather, Shaun

doi:10.1080/20421338.2020.1802843

Cited by 17 publications

(21 citation statements)

References 54 publications

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“…This is because, as Abou-Shouk, Megicks and Lim (2013) argued, SMEs, particularly from developing countries, are slow adopters and users of social media. A study by Kyakulumbye & Pather (2022) established that there is low adoption of social media amongst SMEs in Africa, particularly in Uganda due to demographic antecedents and beliefs and attitudes of users. This is in line with a study by Mavimbela & Dube (2016) which established that SMEs in South Africa (SA) have been slow to adopt internet technologies.…”

Section: Smes and The Internet (Social Media)mentioning

confidence: 99%

“…Nedbal & Stieninger (2014) and Oliveira et al (2014) argue that organizations will adopt technological innovation if it can bring benefits to the organization both in organizational performance and economically. Kyakulumbye & Pather's (2022) study identified four pre-use factors which significantly influence decisions to adopt and use ICT among SMEs. These include benefit expectation, ICT learnability, User-confidence, and User-friendliness.…”

Section: Factors That Affect Adoption Of Social Media By Smesmentioning

confidence: 99%

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Adoption of Social Media for SME Growth in the Covid-19 Era: A Case of SMEs in the Clothing industry in Lusaka, Zambia

Kakumbi¹,

Phiri²

2022

OJBM

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Social media has become an emerging integral component to any business in the COVID-19 era. This study on social media adoption by SMEs in the COVID-19 era using the VT4 framework is thus essential. This study sought to investigate how the VT4 influences social media adoption and growth of SMEs. A quantitative research design was used to carry out this study. The target population of the study was SMEs staff in the clothing industry in Lusaka. A structured questionnaire was used as the data collection tool on 240 randomly selected sample size. The Statistical Packages for Social Sciences (SPSS) was used for data analysis. The study first sought to establish the social media platform adopted by SMEs in their business and the factors that influence adoption. The findings of the study revealed that Facebook was the most used social media platform among SMEs followed by WhatsApp. The least used was YouTube. The results of the study further revealed that among the factors that influenced social media adoption by SMEs was perceived usefulness and society's attitude. The study further sought to establish the impact of VT4 on social media adoption and SME growth. Descriptive analysis and the Pearson's correlation were used to analyze the results. The results of H 1 to H 5 showed a statistically significant Pearson's correlation with P Value of less than 0.005 (sig. 2-tailed) < 0.05, indicating that there is a statistically significant relationship between the VT4 and social media adoption and SME growth. Consequently, the study established that there was a statistical relationship between the VT4 (the independent variable) and social media adoption and SME growth (the dependent variable). The study thus concluded that SMEs in the clothing industry in Zambia have adopted social media and this has enhanced their growth. To elicit positive impact of the VT4 on social media adoption and SME growth, the study recommends mandatory social How to cite this paper: Kakumbi, G., &

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Section: Smes and The Internet (Social Media)mentioning

confidence: 99%

Section: Factors That Affect Adoption Of Social Media By Smesmentioning

confidence: 99%

Adoption of Social Media for SME Growth in the Covid-19 Era: A Case of SMEs in the Clothing industry in Lusaka, Zambia

Kakumbi¹,

Phiri²

2022

OJBM

View full text Add to dashboard Cite

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“…Dahnil et al [72] also developed a data warehousing stage-of-growth model based on the findings of [51] by emphasising that there is a need to understand the stages so that management is better able to plan and is better positioned to avoid any pitfalls. Kyakulumbye and Pather [73] developed a four-stage knowledge management technology (KMT) model, which was followed by [74], who developed a six-stage (levels 0-5) Knowledge Management Capability Assessment (KMCA) model, and from [75] five-level stage-of-growth models also emerged for E-Government and ICTs in healthcare and education.…”

Section: Stages-of-growth (Sog) Modelmentioning

confidence: 99%

Barriers to the Effective Integration of Developed ICT for SMEs in Rural NIGERIA

et al. 2022

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This study investigated three key factors (technological-related, organisational-related and environmental-related barriers) affecting the adaptation to or integration of developed ICT. It also examined how SMEs in less developed countries can explore the different stages of developed ICT by moving from one stage to the other. The integration of ICT in SMEs is important as technologies have become competitive tools in contemporary business practices. This study is based on a survey of 322 Nigerian SMEs which was successfully validated using the SmartPLS3 software. The quantitative analysis centred on the three hypothesised barriers to measure the extent to which SMEs’ internal and external variables could limit their competitiveness in relation to business expansion and organisational growth. The analysis helped explain some of the critical challenges faced by rural SMEs in an emerging economy such as Nigeria despite the literature’s previous emphasis on the impacts of ICT on the SMEs’ growth and expansion. A major contribution of the study is the development of a distinct model to help SMEs identify the significance of developed ICT and propose a strategy for SMEs to navigate the stages of developed ICT.

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“…Specifically, technology trend monitoring is mostly undertaken by the R&D group followed by CEOs and experts. Undeniably, because R&D is responsible for the development of new products and services, it explains their active involvement in the monitoring of technology trends (Kyakulumbye & Pather, 2021;Yoo, Lee & Jun, 2018). Empirically, Ghanaian SMEs' management structure will power to CEOs (Quartey, Turkson, Abor, & Iddrisu, 2017), and this explains why they rank higher behind R&D concerning technology trend monitoring.…”

Section: Monitoringmentioning

confidence: 99%

Management Principles for the Appraisal and Diffusion of Information Systems

Coffie

Zhao

Yeboah

et al. 2021

International Journal of Information Systems and Supply Chain Management

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In this paper, we bring to light the issue of appraising and diffusing information systems by small and medium scale enterprises (SMEs) in Ghana. The empirical data was gathered through an online questionnaire-based survey from 312 SMEs in Ghana. All these enterprises are registered members of the association of Ghanaian industries (AGI) and are confirmed users of information system. The framework of the study is developed based on the approaches found in technology management literature: management principles for disruptive technology, information system strategy, technological decision making and the technology acceptance models. The aim of the paper is to unearth management principles which allow SMEs in Ghana to appraise and diffuse information system successfully. We defined these principles through the comparison of known principles with the practiced principles of management of the small enterprises in Ghana and distilling the best management practices in information system appraisal and diffusion.

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Understanding ICT adoption amongst SMEs in Uganda: Towards a participatory design model to enhance technology diffusion

Cited by 17 publications

References 54 publications

Adoption of Social Media for SME Growth in the Covid-19 Era: A Case of SMEs in the Clothing industry in Lusaka, Zambia

Adoption of Social Media for SME Growth in the Covid-19 Era: A Case of SMEs in the Clothing industry in Lusaka, Zambia

Barriers to the Effective Integration of Developed ICT for SMEs in Rural NIGERIA

Management Principles for the Appraisal and Diffusion of Information Systems

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