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All Journal Annals of Management and Organization Research Annals of Human Resource Management Research
Ebuka, Arachie Augustine
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

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Artificial Intelligence as a catalyst for the Sustainability of Small and Medium Scale Businesses (SMEs) in Nigeria Ebuka, Arachie Augustine; Emmanuel, Dibua; Idigo, Peter
Annals of Management and Organization Research Vol. 5 No. 1 (2023): August
Publisher : goodwood publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/amor.v5i1.1719

Abstract

Purpose: This study examines the role of AI in small business operations. Specifically, we identified areas where AI could be deployed, barriers to deployment of AI, identified AI tools in business, and ascertained the number of SMEs that consciously use any form of AI in their business operations. Research Methodology: This study adopted a descriptive design. The population of the study was 27546 small businesses that were registered under the Cooperate Affairs Commission (CAC), and a sample size of 379 was arrived at by adopting Krejcie and Morgan's 1970 sample size determination formula. The source of data was solely primary through interviews, which later formed a stepping stone for the structured questionnaire used for the study. The instrument was validated and tested for reliability. Data analysis was performed using descriptive statistics consisting of frequencies and percentages. Results: Most SMEs in Nigeria are still operating manually; hence, they do not enjoy the massive potential of AI deployment and remain perpetually small in size. Limitations: Descriptive statistics for the analysis were used to reduce the inferrability of the findings. Contribution: Given the increasing dependence on technology and AI, this study highlights the importance of AI not only for big and multinational corporations, but also for SMEs in Nigeria. Novelty: A study of this nature has not been undertaken in Nigeria, specifically focusing on southeast Nigeria, which has a large number of small businesses in the region.
Job Crafting, a brain drain antidote in Public Universities in Nigeria Ebuka, Arachie Augustine; Ngozi, Nzewi Hope; Obianuju, Chiekezie; Peace, Nwakoby Nkiru
Annals of Human Resource Management Research Vol. 2 No. 1 (2022): March
Publisher : Goodwood Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/ahrmr.v2i1.887

Abstract

Purpose: This study examined job crafting (JC) and the role it could play in reducing brain drain in universities in Nigeria. Research Methodology: -it adopted a survey research design, with its population consisting of 8051 academic staff of six selected universities in the Southeast. A sample size of 367 was determined using Krejcie and Morgan’s (1970) formula. The source of data collection was a structured questionnaire. A combination of descriptive and inferential statistics was used for data analysis. Results–among others, the result revealed that there are ways academics can craft their jobs in universities in Nigeria and that there is a significant mean difference among the various dimensions of job crafting activities carried out by academics. Limitations: The study looked at a particular section of Nigeria, thereby, limiting the inference power of the findings. Contributions: None of the previous studies seem to have focused solely on how job crafting is done and which one is more prominent among lecturers in Nigeria. Similarly, none also appear to have looked at job crafting and how it can be used to reduce brain drain in Nigerian Universities.
Digital literacy in a post Coronavirus era: a management perspective for small businesses in Africa Ebuka, Arachie Augustine; Nzewi, Hope Ngozi; Gerald, Emejulu; Ezinne, Kekeocha Mary
Annals of Management and Organization Research Vol. 1 No. 3 (2020): February
Publisher : goodwood publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/amor.v1i3.410

Abstract

Purpose: This study examined how small businesses in Africa can use technology to grow and sustain their businesses in a post-Covid-19 world. The paper looked at various digital skills needed by these businesses to navigate and profit from the digital space's massive opportunities. It also ascertained the challenges facing them from keying into the digital ecosystem. The place of technology in the fight against Covid-19 was also highlighted. Research methodology: This study is a qualitative review study. Results: The study concluded that possessing some form of digital skills by business owners and employees could be the difference between a competing and a non-competing organization. Limitations: The work did not use methodology as it is a qualitative review study that limited the study's generalizability. Contribution: This work represents a current work in digital technology and how it relates to pandemic situations and economic challenges, especially in Africa. Keywords: Digital, Technology, Covid-19, Small businesses, Management, Skills
Artificial Intelligence as a catalyst for the Sustainability of Small and Medium Scale Businesses (SMEs) in Nigeria Ebuka, Arachie Augustine; Emmanuel, Dibua; Idigo, Peter
Annals of Management and Organization Research Vol. 5 No. 1 (2023): August
Publisher : goodwood publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/amor.v5i1.1719

Abstract

Purpose: This study examines the role of AI in small business operations. Specifically, we identified areas where AI could be deployed, barriers to deployment of AI, identified AI tools in business, and ascertained the number of SMEs that consciously use any form of AI in their business operations. Research Methodology: This study adopted a descriptive design. The population of the study was 27546 small businesses that were registered under the Cooperate Affairs Commission (CAC), and a sample size of 379 was arrived at by adopting Krejcie and Morgan's 1970 sample size determination formula. The source of data was solely primary through interviews, which later formed a stepping stone for the structured questionnaire used for the study. The instrument was validated and tested for reliability. Data analysis was performed using descriptive statistics consisting of frequencies and percentages. Results: Most SMEs in Nigeria are still operating manually; hence, they do not enjoy the massive potential of AI deployment and remain perpetually small in size. Limitations: Descriptive statistics for the analysis were used to reduce the inferrability of the findings. Contribution: Given the increasing dependence on technology and AI, this study highlights the importance of AI not only for big and multinational corporations, but also for SMEs in Nigeria. Novelty: A study of this nature has not been undertaken in Nigeria, specifically focusing on southeast Nigeria, which has a large number of small businesses in the region.
Co-Authors Emmanuel, Dibua Ezinne, Kekeocha Mary Gerald, Emejulu Idigo, Peter Ngozi, Nzewi Hope Nzewi, Hope Ngozi Obianuju, Chiekezie Peace, Nwakoby Nkiru