Digital Textile Innovation and Smart Agriculture for Economic Diversification: Science, Technology, Engineering, and Mathematics (STEM), Broadband Access, and Public-private Partnership Ecosystem in Southeast Nigeria.

Digital Textile Innovation and Smart Agriculture for Economic Diversification: Science, Technology, Engineering, and Mathematics (STEM), Broadband Access, and Public-private Partnership Ecosystem in Southeast Nigeria.
Nexus Global Research Journal of Business and Management | Vol.2 Issue 4 | 2026
Digital Textile Innovation and Smart Agriculture for Economic Diversification: Science, Technology, Engineering, and Mathematics (STEM), Broadband Access, and Public-private Partnership Ecosystem in Southeast Nigeria.
Dr. Grace C. Onyebuchi-Igbokwe
Department of Fine and Applied Arts. Alvan Ikoku Federal University of Education, Nigeria.
Dr. Bertha Oluchi Uzowuihe
Department of Fine and Applied Arts. Alvan Ikoku Federal University of Education, Nigeria.
Dr.Chinyere Edwina Ndebilie
Department of Fine and Applied Arts. Alvan Ikoku Federal University of Education, Nigeria.
Chibueze Uzoma Chibundu
Agricultural Economics. Rockvile Montessori New Layout School, Port Harcourt, Nigeria.
Published: 23 April 2026 | DOI:

Abstract

This study examined the influence of digital textile innovation and smart agricultural systems on economic diversification in Southeast Nigeria, with particular emphasis on STEM integration, broadband-enabled infrastructure, and publicโ€“private partnership (PPP) mechanisms. The study was grounded in an innovation diffusion and digital economy framework and adopted a mixed-methods research design to generate both statistical and contextual evidence. A sample of 275 respondents, drawn from textile entrepreneurs, agricultural technology adopters, STEM educators, and ICT-based start-up operators, was surveyed using structured questionnaires. Constructs measured included digital textile adoption index, smart agriculture integration score, STEM exposure level, broadband accessibility rating, and PPP effectiveness scale. Qualitative data were obtained through semi-structured interviews with selected innovation stakeholders to complement quantitative findings. Data were analyzed using SPSS version 27 and SmartPLS 4. Pearson Product Moment Correlation (PPMC) was employed to determine the strength and direction of relationships among variables, while one-way Analysis of Variance tested group mean differences across institutional and demographic categories. Structural Equation Modeling (PLS-SEM) was further applied to estimate predictive pathways and effect sizes among latent constructs. Results indicated statistically significant positive relationships between digital textile innovation and smart agricultural productivity (r > 0.60, p < 0.05). Broadband accessibility and STEM exposure demonstrated strong predictive effects on entrepreneurial innovation outcomes (ฮฒ > 0.50, p < 0.01). PPP mechanisms significantly enhanced technology transfer efficiency and ecosystem scalability (p < 0.05), although infrastructural deficits and uneven digital literacy levels moderated overall impact strength. The study concluded that integrated digital textileโ€“agricultural systems significantly improved economic diversification outcomes when supported by STEM capacity development, broadband infrastructure expansion, and effective PPP frameworks. It recommended intensified digital infrastructure investment, structured innovation hubs, and stronger industryโ€“academia collaboration to sustain regional technological competitiveness and inclusive growth.

Keywords: Broadband Infrastructure; Digital Textile Innovation; Smart Agriculture Systems

1. Introduction

The Fourth Industrial Revolution has fundamentally transformed production systems through the integration of artificial intelligence (AI), the Internet of Things (IoT), cloud computing, robotics, big data analytics, and cyber-physical systems into manufacturing and agricultural value chains. These digital technologies have enhanced productivity, resource efficiency, product customization, and organizational competitiveness while creating new opportunities for sustainable economic diversification across both developed and emerging economies (Abbasi et al., 2022; Javaid et al., 2022; Maffezzoli et al., 2022).

2. Methodology

This study adopted a mixed-methods research design based on the pragmatic research paradigm. The design combined quantitative and qualitative approaches to provide a comprehensive assessment of the influence of digital textile innovation and smart agricultural diversification in systems Southeast on economic Nigeria. The quantitative component generated measurable evidence on the relationships among the study variables using structured questionnaire data, while the qualitative component provided contextual insights through semi-structured interviews with selected stakeholders drawn from the textile, agricultural, education, and ICT sectors.

3. Results and Discussion

The distribution shows a balanced gender representation, with a slightly higher proportion of male respondents (53.8%). Most respondents fall within the economically active age bracket (26โ€“35 years), suggesting strong exposure to digital and agricultural innovation systems. The majority hold tertiary education qualifications, indicating adequate literacy for interpreting digital and STEM based agricultural interventions.

4. Conclusion

Based on the empirical evidence generated from the study, it is concluded that economic diversification in Southeast Nigeria is significantly shaped by an interconnected system of digital, educational, infrastructural, and institutional factors. The study confirms that digital transformation in textile and agricultural systems is not an isolated phenomenon but part of a broader structural shift driven by technology adoption, human capital development, and collaborative governance.

References

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Full reference list available in the PDF version.