Aug 2026· IIARD International Journal of Economics and Business Management· 0 citations
Abstract
A high initial investment in acquiring environmentally friendly products can discourage
institutions from adopting them. This study explored the extent to which eco-friendly products
contribute to supply chain resilience and operational performance at the Nigerian Maritime
University. The study employed a quantitative survey method administering a sample of 303copies
questionnaire to the staff of the organization using a stratified sampling technique. The hypotheses
were tested and analyzed using a regression method with the aid of Minitab software. The
regression analysis indicates eco-friendly products significantly relates to operational efficiency
in Nigerian Maritime University, South-South Nigeria. The model regression indicates (R² = 99.20,
B = 1.039, β = 0.0162, p = 0.000); indicating that the model is a good fit. The coefficient 1.0399
is highly significant (p < 0.001). This indicates a positive and strong effect, explaining that for
every one-unit increase in eco-friendly products, the operational efficiency increases by
approximately 1.039 units. The NOVA result confirms F = 4117.07, p < 0.001. The study
concludes that the adoption of eco-friendly products plays a significant and positive role in
enhancing organizational sustainability performance or resilience. Organizations should embed
eco-friendly product selection into their procurement guidelines to promote sustainable
operations. Management should invest in environmentally friendly technologies and capacity
building initiatives to support the transition to sustainable practices.
Limited knowledge and awareness on green procurement policies among procurement officers, end users, and suppliers constitute obstacles to its effective implementation. The study investigates the relationship between product life cycle monitoring and real- time data sharing in Nigerian Maritime University. The total population of the study comprised of 1,252 employees, and sample size was determined using taro Yamane formula and calculated as 303. The study employed a descriptive survey research design, and a stratified random sampling technique in the distribution of the survey to ensure optimum allocation of survey to each stratum. The study population includes: procurement officers, internal auditors, logistics managers, administrative staff, and heads of departments. Out of 303 questionnaires distributed only 281 were returned and utilized while the remaining 22 were not returned and utilized for the study. Statistical tools such as descriptive, inferential statistics, and linear regression were used to analyze the hypotheses at 5 % significant level. The findings showed that the combined use of life cycle assessment and real-time visibility has a significant impact on better organizational and environmental performance. The study recommend that university management should organize regular training programmes to improve skill development of lecturers, researchers, technical staff, and students on LCA software (e.g., SimaPro, OpenLCA, GaBi) and real-time visibility technologies.
Ikenna Christopher Ugwu, K. Ugwu, Jude Aleakhue et al.· Journal of Commerce, Managem...· 0 citations
Nigeria’s electricity sector continues to face major challenges due to aging infrastructure, which
increases operational costs and reduces overall efficiency. This study aimed to assess how
procurement practices influence sustainability within the Nigerian Electricity Regulatory
Commission (NERC), South-East, with a specific focus on the effect of green technology on
environmentally friendly products. Using a quantitative correlational design, 148 surveys were
distributed to staff across Anambra, Enugu, Ebonyi, and Imo states, of which 133 were completed
and used for analysis. Pearson correlation and descriptive statistics were employed to test the
hypotheses. The results revealed a very strong and statistically significant positive correlation
between green technology and eco-friendly products (r = .994, n = 132, p < .01), indicating that
advancements in green technology account for a large proportion of changes in environmental
product outcomes. Based on these findings, the study recommends that NERC strengthen
procurement policies by prioritizing vendors who provide certified green technologies and
environmentally sustainable materials.
Rex Okoro· WORLD JOURNAL OF INNOVATION...· 0 citations
This study aimed to examine the linkages between the use of eco-friendly vehicles and the performance of supply chains of selected manufacturing firms in Southwest Nigeria. A cross-sectional survey was conducted among ten manufacturing firms, from which 395 responses were received. Eco-friendly vehicle utilisation was assessed based on the use of fossil fuel-based vehicles, utilisation policies, reasons for utilising eco-friendly vehicles, the introduction of structured programmes, and the measurement of fleet performance. The data were analysed using Pearson product-moment correlation and likelihood-ratio model fitting. The results indicated that supply chain performance was positively correlated with environmentally friendly vehicle utilisation, with the strongest association with delivery efficiency observed for fleet performance measurement (r = 0.870). Furthermore, delivery efficiency (r = 0.731) and environmental sustainability (r = 0.753) showed strong positive correlations with eco-friendly fleet size. The model was statistically significant (chi-square = 84.701, df = 12, p < 0.001). The results suggest that the adoption of eco-friendly vehicles can be more strongly linked with supply chain performance when their introduction is supported by policy, structured programmes, route and energy data, and the measurement of service and environmental performance. A key contribution of the study is the simultaneous consideration of fleet adoption, governance, implementation, and measurement within an empirical model of manufacturing supply chains in Southwest Nigeria.
J. Aworemi, B. Ayantoyinbo, A. K. Akintola· Asian Research Journal of Ar...· 0 citations
This study examined the organisational and regulatory factors influencing the adoption of environmental sustainability practices in selected petroleum industries in Southeast Nigeria. The petroleum sector remains economically important, but its operations are associated with environmental concerns that require stronger sustainability responses. A cross-sectional survey research design and quantitative approach were adopted. Primary data were collected through a structured questionnaire administered to employees and management personnel in selected oil and gas companies. A total of 420 questionnaires were distributed, 392 were retrieved, and 384 valid responses were used for analysis, representing a valid completion rate of 91.4%. Data were analysed using descriptive statistics, including frequencies, percentages, mean scores and standard deviation, as well as multiple regression analysis. The findings showed high agreement with organisational factors, regulatory factors and environmental sustainability adoption, with mean scores of 4.23, 4.07 and 3.95, respectively. The regression results indicated that organisational factors had a significant positive effect on environmental sustainability adoption (β = 0.45, t = 9.62, p < 0.05). Regulatory factors also had a significant positive influence on adoption (β = 0.37, t = 7.88, p < 0.05). The model explained 58.0% of the variation in environmental sustainability adoption. The study concludes that internal organisational support and consistent regulatory oversight are important for improving sustainability practices in petroleum firms.
Napoleon-Ekeh, Nwadiuto Konyere, Ogunbanwo Babatunde Michael· Asian Journal of Advanced Re...· 0 citations
The purpose of this study was to examine the influence of green supply chain management on organizational sustainability, where technology innovation and environmental performance are taken as mediating factors. The focus of this study was on the increasing need for better protection of the environment and the increasing demands of the sustainable development of industries, especially in developing countries, where there are limited empirical data available on sustainability activities. The collected sample comprised 387 managers and technologists from Libyan manufacturing companies using a survey instrument and a stratified random sampling technique. Validity scales were used, and the measurements were done using the five-point Likert scale. The data analysis involved the use of PLS-SEM, where SmartPLS 4.0 was used. It entailed the analysis of the measurement model as well as the structural model, with the bootstrapping being done for 5000 samples. The findings show that GSCM significantly affects the OS. Specifically, it has a positive impact on environmental performance (EP) and technological innovation (TI), which, in turn, enhance the OS. Among the mediating factors, the EP was found to be the strongest predictor and mediator of the OS, followed by TI. The developed model proved to have a high explanatory power, with a coefficient of determination (R2) of 0.660. Thus, the integration of GSCM with innovation and environmental activities can lead to the successful achievement of sustainability objectives among manufacturing enterprises. The study’s limitations are associated with its cross-sectional design and its focus on managers. Future research could employ longitudinal designs and examine other contexts, such as digital transformation, the institutional environment, and the organizational culture.
Mohamed Alakrod, Sami Mohammad· Sustainability· 0 citations
The growing demand for sustainability in manufacturing and the inefficiencies of traditional methods in the supply chain highlight the importance of finding smarter solutions. Even with the growing availability of digital tools and AI technologies, organizations are yet to fully utilize them to aid sustainability efforts, causing inefficient use of resources, waste, and environmental damage. The chapter examined AI supply chains optimizing for sustainability: evidence from Nigeria manufacturing industry. The chapter utilized a survey research design with a population of 950 supply chain employees in Nigerian Breweries, Lagos State, with an estimated sample size of 281 using the Yamane (1967) formula. Data was collected using a structured questionnaire with a five-point Likert scale. Descriptive statistics and multiple regression analysis were used to analyze the data in SPSS version 27. The findings showed that AI-driven demand forecasting (coefficient = 4.287) and AI-based inventory optimization (coefficient = 3.549) have a positive significant on sustainability, with 56.7% of the variance in sustainability outcomes. The chapter concluded that AI-driven supply chain optimization plays a significant role in minimizing waste, optimizing resources, and meeting market demand. The study recommended that Nigerian Breweries should utilize AI-powered demand forecasting tools for production planning and should implement AI-based inventory optimization systems to ensure that inventory levels are optimized and reducing excess stock.
Dolapo Stephen Akinwumi, A. Salau· Al-Zaytoonah University Jour...· 0 citations
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