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Business AdministrationImpact of Supply Chain Disruptions on Business Continuity Planning
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About This Research Topic Supply chains have become longer, more interdependent and geographically dispersed as firms pursue cost efficiency through global sourcing, just-in-time inventory and outsourcing. While delivering gains, these practices increased exposure: a shock at any node propagates rapidly. COVID-19 brought this vulnerability into sharp global focus, with factory shutdowns, port congestion and movement restrictions disrupting supply and demand across industries. At SCHOLARNESTHUB, we transform supply chain research into SEO-optimized academic articles. This study on supply chain disruptions and business continuity planning is crafted for students searching for business administration project topics and supply chain management project topics . In years following acute pandemic phase, Edo State manufacturing firms — agro-processing, plastics, building materials — continue contending with shipping delays, FX volatility, raw material scarcity, fuel scarcity, geopolitical conflict affecting routes, and port transportation bottlenecks. Business continuity planning (BCP) — proactive process identifying threats and developing structured plans to maintain critical functions — has received uneven attention, with many adopting reactive ad hoc responses rather than formal tested frameworks. This study examines 260 population, 158 sample, whether frequency and severity of disruption drives BCP maturity in Edo State. Main Abstract This study examined impact of supply chain disruptions on business continuity planning using selected manufacturing firms in Edo State, Nigeria. Recurring disruptions from global shipping delays, FX volatility, raw material scarcity, transportation bottlenecks and lingering aftershocks of COVID-19 have exposed manufacturing firms to considerable operational risk, motivating inquiry into perception and planning effectiveness. Guided by three objectives: examine relationship between supply chain disruptions and business continuity planning effectiveness; determine effect of disruptions on BCP effectiveness; assess extent to which risk management practices mediate relationship. Survey research design adopted, data collected from sample 158 employees drawn from population 260 staff across six purposively selected manufacturing firms, using Taro Yamane formula. Structured questionnaire anchored on five-point Likert scale was main instrument, reliability confirmed Cronbach Alpha 0.85. Data analysed using descriptive statistics (frequencies, percentages, means, SD) and inferential statistics (Pearson Product Moment Correlation and simple linear regression) with SPSS. Findings revealed strong positive statistically significant relationship between supply chain disruptions and business continuity planning effectiveness (r=0.69, p<0.05), and that disruptions had significant positive effect on extent and rigour of BCP effectiveness (R²=0.48, p<0.05). Study concluded frequency and severity of disruptions is significant driver of BCP activity among manufacturing firms in Edo State, and firms exposed to greater disruption tend to exhibit more developed continuity planning, though not uniformly across dimensions. Recommended institutionalising formal BCP frameworks, diversifying supplier base, investing in supply chain visibility technology, and embedding continuity planning as standing item in strategic risk management rather than reactive disruption-triggered exercise.
Business AdministrationIMPACT OF LOGISTICS DIGITALIZATION ON CUSTOMER SATISFACTION
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About This Research Topic Global logistics has undergone rapid digital transformation driven by e-commerce growth. Logistics digitalization and customer satisfaction spans GPS tracking, digital payment, automated SMS/app notifications, chatbots. For customers it offers visibility, convenient secure payment, proactive communication versus opaque traditional logistics. This aligns with SERVQUAL reliability, responsiveness, assurance. Within Enugu metropolis East, North, South, providers from GIG Logistics and DHL to local couriers brought digitalization into direct contact, yet adoption uneven: some fully integrated, others partial. As Enugu shifts online, logistics moved from occasional convenience to weekly touchpoint. Poor logistics undermines trust in entire online transaction. This study examines impact among Enugu customers focusing on tracking, payment, automated notifications, and fully vs partially digitalized providers. Main Abstract Study examined impact of logistics digitalization on customer satisfaction among logistics customers in Enugu metropolis. Objectives: real-time tracking, digital payment, automated notifications, comparison fully vs partially digitalized. Descriptive survey, 261 customers via Taro Yamane from population 750, multi-stage, 26-item Likert, SPSS 26. Findings: tracking beta 0.512 p<0.05; payment beta 0.437 p<0.05; automated notifications beta 0.548 p<0.05 largest; fully digitalized higher satisfaction t=6.41 p<0.05. Combined explains 52.3% variance. Concluded digitalization significant substantial driver, automated communication most influential, completeness distinguishes higher satisfaction. Recommend prioritise automated communication, invest in tracking, expand payment, pursue comprehensive transformation.
Business AdministrationEFFECT OF INVENTORY MANAGEMENT SYSTEMS ON THE PERFORMANCE OF SMALL AND MEDIUM ENTERPRISES (SMEs)
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About This Research Topic Inventory constitutes one of most significant assets of any business enterprise whether small medium or large and its effective management continued to occupy central place in operations and business management literature. Inventory management refers to systematic process of ordering storing tracking and controlling firm's stock raw materials work-in-progress finished goods in manner that balances cost holding inventory against cost stock-outs so as to ensure smooth continuous business operations per Coyle et al. 2017. For small and medium enterprises SMEs which typically operate with limited capital thin profit margins constrained access to credit manner in which inventory planned ordered stored disposed has direct often immediate effect on liquidity profitability overall survival. SMEs occupy strategic position economies both developed developing nations. In Nigeria SMEs estimated by SMEDAN and NBS to account for over 96% registered businesses contribute nearly 50% nation's GDP and provide employment substantial proportion working population per SMEDAN/NBS 2021. Despite strategic importance SMEs continue record high mortality rate several studies attributing this partly to poor inventory and working-capital management practices alongside challenges infrastructure finance multiple taxation per Ibrahim et al. 2020. Historically many SMEs in Nigeria including those in Benin City Edo State relied on manual largely informal inventory management practices such as periodic physical counting handwritten stock cards personal judgement. While such approaches may suffice for very small operations narrow product range they become increasingly inadequate as businesses grow resulting in stock-outs overstocking spoilage pilferage ultimately avoidable losses. Proliferation relatively affordable inventory management software point-of-sale POS systems barcoding mobile-based stock applications created opportunity for SMEs modernise practices and improve performance per Atnafu & Balda 2018. Research on impact of inventory management practices EOQ ABC JIT Computerised IM on SME performance Nigeria inventory management EOQ JIT lead time inventory turnover operational efficiency SMEs Lagos shows methods followed by SMEs are rule of thumb EOQ Always Better Control ABC Computerised IM Just in Time JIT Vendor Managed Inventory VMI and positive correlation between optimal inventory and economic performance. For related materials see ScholarNestHub SME collection . Main Abstract This study examined effect of inventory management systems on performance of SMEs in Benin City Edo State Nigeria. Motivated by persistent challenges stock-outs overstocking pilferage poor record-keeping that continue undermine profitability survival SMEs despite growing availability technologies. Anchored on Resource-Based View and Theory of Constraints adopted descriptive survey design. Population comprised owners managers registered SMEs operating trading manufacturing service sectors within Benin City from which sample 210 respondents drawn using Taro Yamane formula stratified random sampling technique. Structured questionnaire validated by experts tested reliability Cronbach Alpha=0.84 main instrument data collection. Data analysed descriptive frequency percentage mean standard deviation inferential Pearson Product Moment Correlation multiple regression ANOVA with SPSS version 26. Findings revealed inventory management systems comprising inventory control techniques inventory record-keeping systems inventory technology adoption had positive statistically significant effect on SME performance R2=0.612 F=106.324 p<0.05 accounting approximately 61.2% variation in performance measured profitability sales growth operational efficiency. Study further found adoption computerised/automated inventory systems significantly outperformed manual inventory record-keeping among sampled firms. Concluded effective inventory management critical determinant SME performance many SMEs still rely rudimentary manual inventory practices that limit competitiveness. Recommended SME operators invest affordable inventory management software government business support agencies subsidise access technologies for micro small enterprises and further training inventory control techniques such as Economic Order Quantity EOQ Just-In-Time JIT ABC analysis incorporated into SME capacity-building programmes.
Business AdministrationEffect of Organizational Culture on Employee Innovation Behaviour
Elijah T
About This Research Topic Organizations in Enugu metropolis face mounting pressure to innovate as competitive advantage shifts from resources to ideas. Innovation is no longer peripheral but central, yet at its heart lies employee innovation behaviour — the deliberate creation, promotion and realization of new ideas for role, group or organization benefit (Scott & Bruce, 1994). At SCHOLARNESTHUB, we turn management research into SEO-optimized academic articles. This study on organizational culture and employee innovation behaviour is built for students searching for business administration project topics and human resource management project topics . While innovation requires competent staff and technology, many Enugu firms across manufacturing, banking, telecoms and hospitality record low employee-driven innovation, suggesting barriers rooted in culture rather than resources. Using Cameron and Quinn’s Competing Values Framework, this study examines clan, adhocracy, market and hierarchy cultures and their influence on idea generation, promotion and realization among 3,200 employees in Enugu metropolis, with sample 384. Main Abstract This study examined the effect of organizational culture on employee innovation behaviour among selected organizations in Enugu metropolis. Anchored on four dimensions of Competing Values Framework — clan, adhocracy, market, and hierarchy culture — and their influence on innovation behaviour comprising idea generation, promotion, and realization. Objectives: examine effect of clan culture, determine effect of adhocracy culture, assess effect of market culture, evaluate effect of hierarchy culture. Study adopted survey research design. Population comprised 3,200 employees drawn from selected manufacturing, telecommunications, banking, and hospitality organizations in Enugu metropolis. Using Taro Yamane formula, sample size 384 determined and selected through stratified and simple random sampling. Structured 5-point Likert questionnaire was main instrument. Validated by business administration experts, reliability confirmed via Cronbach's Alpha >0.70 for all constructs. Data analysed using descriptive statistics (mean, SD, frequency, percentage) and Pearson Product Moment Correlation and hierarchical moderated multiple regression at 0.05 significance with SPSS. Findings revealed clan, adhocracy, market, and hierarchy cultures each had statistically significant positive effect on employee innovation behaviour, with adhocracy culture exerting strongest influence, followed by clan culture. Study concluded organizational culture is critical determinant and that flexible, adaptive, collaborative values yield higher innovative behaviour than rigid control-oriented cultures. Recommended management deliberately design and reinforce cultural values encouraging risk-taking, creativity, teamwork, open communication, while moderating excessive bureaucratic control that could stifle innovation.
Business AdministrationImpact of Ethical Leadership on Organizational Trust and Performance
Elijah T
About This Research Topic Leadership remains decisive in shaping character, culture and performance. In Nigeria’s banking sector, waves of corporate scandals, financial mismanagement and breaches of public confidence have refocused attention beyond strategic competence to integrity, fairness and moral responsibility. At SCHOLARNESTHUB, we transform banking and management research into publication-ready SEO articles. This study on ethical leadership, organizational trust and performance is crafted for students searching for business administration project topics and banking and finance project topics . Ethical leadership — demonstration of normatively appropriate conduct through actions, two-way communication and reinforcement — cultivates trust, willingness to be vulnerable based on expectation that leadership acts competently and in employee interest. Trust lowers transaction costs, encourages discretionary effort and strengthens cooperation. Where deficient, turnover rises and commitment falls. Banks, given trust-dependent intermediation, present instructive context. Despite CBN corporate governance codes tightening conduct requirements, anecdotal concerns persist around fairness in promotion, transparency in appraisal, and consistency between pronouncements and conduct among front-line and middle-level staff in Edo State, a sub-national context under-studied relative to Lagos and Abuja. Main Abstract This study examined impact of ethical leadership on organizational trust and performance using selected deposit money banks in Edo State, Nigeria. Growing incidence of corporate scandals, declining employee confidence, and inconsistent performance motivated inquiry into whether ethically grounded leadership can strengthen trust and improve performance. Study guided by three objectives: examine relationship between ethical leadership and organizational trust; determine effect of ethical leadership on organizational performance; assess extent to which organizational trust mediates relationship between ethical leadership and performance. Survey research design adopted, data collected from sample of 154 employees drawn from population 250 staff across five purposively selected banks, using Taro Yamane formula. Structured questionnaire anchored on five-point Likert scale was main instrument, reliability confirmed Cronbach Alpha 0.84. Data analysed using descriptive statistics (frequencies, percentages, means, SD) and inferential statistics (Pearson Product Moment Correlation and simple linear regression) with SPSS. Findings revealed strong positive statistically significant relationship between ethical leadership and organizational trust (r=0.72, p<0.05), and that ethical leadership had significant positive effect on organizational performance (R²=0.53, p<0.05). Study concluded ethical leadership is critical antecedent of organizational trust and significant predictor of performance in Nigerian banking industry. Recommended banks institutionalise ethical leadership training, embed integrity-based performance appraisal criteria, and establish transparent communication channels to sustain employee trust and enhance performance.
Business AdministrationARTIFICIAL INTELLIGENCE ADOPTION AND COMPETITIVE ADVANTAGE AMONG SMALL AND MEDIUM-SIZED BUSINESSES
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About This Research Topic Competitive advantage — the ability to outperform rivals through superior value creation, cost efficiency or differentiation — has long been central to strategic management as articulated by Porter (1985) generic strategies framework . Historically, capabilities required for sustained advantage such as sophisticated analytics, automated operations and large-scale customer intelligence were accessible primarily to large corporations. The emergence of accessible cloud-based artificial intelligence tools has begun to change this dynamic, offering SMEs capabilities in cost reduction, process automation, personalised engagement and predictive decision-making previously reserved for large enterprises. For SMEs, which constitute over 90% of businesses in Nigeria, this democratisation carries strategic implications. AI applications such as chatbots, AI-assisted inventory forecasting, dynamic pricing and AI-powered marketing personalisation can allow SMEs to compete more effectively, reducing costs and creating differentiated value — the two pathways to advantage identified by Porter. Recent research on AI in SMEs enhancing business functions and AI adoption and sustainable competitive advantage in SMEs documents rising uptake even among smaller firms driven by falling cost of AI-as-a-service platforms. For related project materials, see ScholarNestHub SME research collection . Main Abstract Artificial intelligence is increasingly positioned as source of competitive advantage offering capabilities in cost reduction, personalised customer value creation and organisational agility previously accessible only to large well-resourced firms. Yet whether and how SMEs which typically face acute resource, skill and capital constraints are able to convert AI adoption into genuine competitive advantage remains empirically underexplored particularly within Nigerian emerging-market contexts. This study examined AI adoption and competitive advantage among small and medium-sized businesses in Enugu metropolis guided by four objectives: examine extent of AI adoption among SMEs in Enugu; assess effect on cost advantage; evaluate effect on differentiation advantage; and determine relationship between AI adoption and sustained competitive advantage. Descriptive survey research design adopted and data collected from 300 SME owners and managers in Enugu metropolis determined using Taro Yamane formula from estimated target population of 1,200 registered SMEs selected through multi-stage sampling technique using structured 26-item 5-point Likert-scale questionnaire. Data analysed using descriptive statistics (frequencies, percentages, mean scores) and inferential statistics (Pearson Product Moment Correlation, simple linear regression, independent samples t-test) with aid of SPSS version 26. Findings revealed statistically significant positive relationship between AI adoption and cost advantage (r=0.564, p<0.05); that AI adoption significantly and positively predicts differentiation advantage (β=0.517, p<0.05); that AI adoption significantly and positively predicts sustained competitive advantage (β=0.492, p<0.05); and that early/active AI-adopting SMEs reported significantly higher overall competitive advantage than late/minimal adopters (t=7.145, p<0.05). Study concluded AI adoption is statistically significant driver of competitive advantage among SMEs in Enugu metropolis enhancing both cost-efficiency and differentiation-based advantage but scale of benefit closely tied to how early and deeply business integrates AI relative to competitors. Recommended SMEs pursue timely phased AI adoption rather than wait-and-see approach, combine cost-focused and differentiation-focused AI applications for maximal benefit, and business support institutions provide targeted AI-adoption incentives and training to help late-adopting SMEs close competitive gap. Keywords: Artificial intelligence, AI adoption, competitive advantage, cost advantage, differentiation advantage, SMEs, Enugu metropolis
Business AdministrationSupply Chain Resilience Post-COVID-19: Nearshoring, Diversification and Digital Twins, and What They Actually Cost
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About This Research Topic For thirty years, global supply chains were built on a single assumption: that cost efficiency and lean inventory would always beat redundancy. Then COVID-19 shut down Wuhan's factories in January 2020, and within weeks that assumption looked like a liability rather than a strength. Multinationals spent the years that followed rebuilding, not by reversing globalisation outright, but by layering resilience strategies, nearshoring, supplier diversification, and digital twin technology, onto supply chains that had never been designed to absorb shocks of that scale. This article works through a study that measured what those strategies actually delivered, and what they cost, drawing on survey data from 120 supply chain managers, logistics directors, and procurement officers working within multinationals across Nigeria and sub-Saharan Africa. Readers who want to see how research like this is structured chapter by chapter can browse comparable studies in the business administration research library for reference. What follows sets out the background, problem, objectives, research questions, significance, scope, and key terms of the study, closing with answers to common questions about post-COVID-19 supply chain restructuring. Main Abstract Three decades of globally integrated supply chains, optimised primarily for cost efficiency and lean inventory, proved deeply fragile once COVID-19 arrived. Between 2020 and 2022, multinationals across manufacturing, technology, pharmaceuticals, and fast-moving consumer goods faced simultaneous disruptions in supply, logistics, and demand, a convergence that traditional risk mitigation frameworks were never built to handle. This study examines how multinational corporations restructured their global value chains in response, through three principal strategies: nearshoring, supplier diversification, and the adoption of digital twins. Using a descriptive survey design, the research gathered data from 120 supply chain managers, logistics directors, procurement officers, and operations executives working within multinational companies across Nigeria and sub-Saharan Africa. A structured, thirty-item, five-point Likert-scale questionnaire served as the primary instrument. Descriptive statistics were computed for all scale items, and three hypotheses were tested using independent samples t-tests and chi-square analysis at the 0.05 significance level. The results show nearshoring meaningfully improved supply chain responsiveness and cut lead time uncertainty (mean = 4.12; SD = 0.71), though it came with a measurable 8 to 15 percent increase in short-term per-unit production costs. Supplier diversification strengthened resilience scores but introduced coordination complexity that modestly reduced operational efficiency during early adoption. Digital twin deployment was positively and significantly associated with performance outcomes, including inventory accuracy, disruption response time, and demand forecast precision, though high implementation costs and talent scarcity continue to limit adoption. Hypothesis testing confirmed that post-COVID-19 restructuring strategies collectively improved resilience (χ² = 18.47, p < 0.001), with digital twin adopters showing a statistically significant performance advantage over non-adopters (t = 3.82, p = 0.002). The study concludes that the efficiency-resilience trade-off is real but manageable: multinationals that paired digital infrastructure investment with structural reconfiguration of their value chains achieved stronger long-run performance. It recommends a phased nearshoring approach, a dual-sourcing minimum as standard procurement policy, and prioritising digital twin investment within a broader digitalisation roadmap, while noting the cross-sectional, self-reported nature of the data as a limitation for future longitudinal research.
Business AdministrationRegulatory Compliance Costs, Business Formalisation and Informal Enterprise Growth
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About This Research Topic More than half of Nigeria's economic activity happens outside the formal system, carried by micro-enterprises that governments would very much like to bring on the books — and that entrepreneurs, for their own reasons, often choose to keep off them. This article draws on a study of micro-enterprise owners in Lagos State that asks a direct question: does formalising a business actually deliver the growth and credit access benefits it is supposed to, and are the costs of formalising calibrated to what micro-operators can realistically bear? For readers curious how a policy-relevant enterprise study like this is structured, our business administration project topics collection includes several comparable examples. What follows sets out the background to the study, the problem it investigates, its objectives and hypotheses, and what its findings suggest for policymakers, lenders, and micro-enterprise owners themselves. Main Abstract The informal economy accounts for a substantial share of employment and economic activity across sub-Saharan Africa, yet the enterprises that make it up remain largely shut out of formal credit markets and institutional growth pathways. This study examined the relationship between regulatory compliance costs, business formalisation, and micro-enterprise growth, with particular attention to whether formalisation pathways actually improve growth outcomes and credit access. Using a descriptive survey design, a structured questionnaire was administered to 150 micro-enterprise owners drawn from selected markets and business clusters in Lagos State, Nigeria, using a purposive and stratified sampling technique. Data were analysed using frequency distributions, descriptive statistics, and inferential tests including the chi-square test and Pearson correlation analysis. The findings show that high regulatory compliance costs are a significant deterrent to formalisation, with cost burden, bureaucratic complexity, and perceived low returns from formalising standing out as the dominant explanatory factors. Among enterprises that had formalised, however, a statistically significant positive relationship emerged between formalisation status and both enterprise growth and access to formal credit. The study concludes that while formalisation carries genuine economic benefits for micro-enterprises, Nigeria's current regulatory architecture is poorly calibrated to the financial and operational realities of informal operators. It recommends tiered and simplified registration procedures, reduced compliance costs for micro-businesses, and financial products specifically designed to bridge informal enterprises into formal credit channels — findings that speak directly to ongoing policy debates on inclusive formalisation strategies in developing economies.
Business AdministrationMobile Money and Financial Inclusion: How Mobile Payment Platforms Are Changing Household Welfare in Sub-Saharan Africa
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About This Research Topic For a household with no bank account, a nearby branch that's too far to reach, or savings that vanish under a mattress, a mobile phone has quietly become the most useful financial tool it owns. Across Sub-Saharan Africa, mobile money has moved from novelty to necessity, letting people save, send remittances, and cover emergencies without ever setting foot in a bank. But adoption numbers alone don't tell us whether that access actually improves people's lives, and that gap between usage statistics and lived welfare is exactly what this study sets out to close. Drawing on survey data collected from 200 households in peri-urban communities in Ghana's Greater Accra Region, the research examines how mobile money adoption relates to savings behaviour, consumption, remittances, and access to emergency funds among the unbanked. Readers interested in how a study like this is scoped and structured, from theory through to hypothesis testing, can browse comparable studies in the economics research library for reference. What follows walks through the background, problem, objectives, research questions, significance, scope, and key terms of the study, closing with answers to common questions about mobile money and financial inclusion. Main Abstract Mobile money has become one of the most consequential financial technologies to reach Sub-Saharan Africa, with particularly significant effects for households that formal banking has historically bypassed. This study examines how mobile payment platforms affect the welfare of unbanked households in the region, drawing on primary survey data collected from 200 respondents across peri-urban communities in Ghana's Greater Accra Region. Using a descriptive and correlational design, the research applied a structured, five-point Likert-scale questionnaire to capture patterns of mobile money usage alongside household savings behaviour, consumption expenditure, healthcare access, food security, and perceived economic wellbeing. The study is anchored in Financial Inclusion Theory, the Digital Dividend Framework, and the Capability Approach. The results show mobile money adoption is strongly linked to stronger household savings discipline (mean = 4.17), a greater ability to send and receive remittances (mean = 4.34), better access to emergency funds (mean = 4.09), and improved consumption levels (mean = 3.88). Chi-square and Pearson correlation tests confirm that the relationship between mobile money adoption and these welfare outcomes is statistically significant at the 0.05 level. The study concludes that mobile payment platforms are a credible route to extending financial inclusion among unbanked populations and can meaningfully improve welfare across several dimensions at once. That said, poor network connectivity, low digital literacy, and the burden of transaction costs continue to hold back uptake and depth of use among the most vulnerable households. The study recommends targeted digital literacy campaigns, regulatory reform to bring down transaction costs, and continued investment in rural telecommunications infrastructure.
Business AdministrationGreen Human Resource Management Practices and Organisational Sustainability Performance
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About This Research Topic Manufacturing keeps industrialising economies running, but it also carries a disproportionate share of the world's pollution, waste, and resource strain — a tension Nigeria knows well, given how much its industrial base contributes to both growth and environmental pressure. This article draws on a study of manufacturing firms in Lagos State that asks a specific question: can two Green Human Resource Management practices — green recruitment and green training — actually move the needle on a firm's environmental, social, and economic sustainability performance? Readers interested in how a data-driven HR study like this is built can browse our business administration project topics for further examples. What follows sets out the background to the study, the problem it investigates, its objectives and hypotheses, and what its findings suggest for HR managers, sustainability officers, and policymakers. Main Abstract Reconciling economic production with environmental and social responsibility has pushed human resource management to the centre of organisational sustainability strategy. Green Human Resource Management (Green HRM) refers to HRM policies and practices that build employee environmental awareness, reduce the ecological footprint of organisational activity, and align workforce capability with sustainability goals. This study examined the relationship between two Green HRM practices — green recruitment and green training — and organisational sustainability performance among manufacturing firms in Lagos State, Nigeria. Using a descriptive survey design, the researcher targeted HR managers, sustainability officers, line managers, and senior production staff in manufacturing firms registered under the Manufacturers Association of Nigeria's Lagos chapter. Applying Taro Yamane's formula, a sample of 220 respondents was drawn from an estimated population of 920 professionals through stratified random sampling, yielding 198 usable responses after data cleaning. Data were gathered through a structured 30-item Likert-scale questionnaire and analysed using descriptive statistics, Pearson correlation, and ordinary least squares regression in SPSS version 27. Green recruitment practices showed a significant positive effect on environmental sustainability performance (Beta = 0.641, p < 0.001) and social sustainability performance (Beta = 0.573, p < 0.001). Green training practices showed a significant positive relationship with environmental sustainability (Beta = 0.682, p < 0.001) and economic sustainability performance (Beta = 0.604, p < 0.001), with green training exerting a stronger overall influence on sustainability performance than green recruitment — pointing to the value of continuous environmental capability-building over initial hiring filters alone. Findings were interpreted through Resource-Based View theory, Ability-Motivation-Opportunity (AMO) theory, and Stakeholder theory. The study recommends that manufacturing firms embed environmental criteria explicitly into recruitment frameworks, institutionalise structured green training programmes, and set sustainability key performance indicators tied to individual employee appraisals, while regulators are encouraged to incentivise Green HRM adoption through compliance frameworks and tax relief.
Business AdministrationPlatform Business Models, Network Effects and Antitrust Challenges
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About This Research Topic A small handful of technology platforms now sit at the centre of how the world buys, sells, communicates, and finds information — and that concentration has put an old question back on the table: what does market power even mean when the product is often free? This article draws on a study of how platform firms use network effects and multi-sided business models to build durable competitive advantages, and how regulators in major jurisdictions are trying to respond. The research surveyed 200 business professionals, postgraduate students, and regulatory affairs practitioners in Lagos, Nigeria, to gauge how these dynamics are understood and experienced in an emerging market context. Readers exploring related regulatory or digital-economy questions can browse our economics project topics for further examples of how a study like this is structured. What follows sets out the background, the specific problem the study investigates, its objectives and hypotheses, and what its findings suggest for regulators and platform operators alike. Main Abstract A small number of technology platform firms now dominate global commerce, communication, and information exchange, raising urgent questions about what market power actually looks like in a digital economy. This study examines how platform business models use network effects and multi-sided market structures to build and defend competitive advantages, and how regulators across major jurisdictions are responding. Drawing on a survey of 200 business professionals, postgraduate students, and regulatory affairs practitioners in Lagos, Nigeria, the study used a descriptive research design and structured Likert-scale questionnaires as its primary instrument, testing four hypotheses through descriptive statistics and chi-square analysis. The findings show a strong positive relationship between the strength of network effects and perceived barriers to market entry, and confirm that data accumulation strategies meaningfully reinforce platform market power. Awareness of the regulatory frameworks that govern platform markets was found to be limited among respondents, and existing antitrust instruments were widely seen as inadequate for addressing the specific competitive dynamics that platforms present. The study concludes that regulators need to move beyond legacy competition frameworks built around price-based theories of harm, and instead develop analytical tools that can account for the value of data, the entrenchment effects of switching costs, and the self-reinforcing logic of platform ecosystems. It offers recommendations for regulators, platform operators, and policymakers seeking to balance digital innovation against the preservation of competitive markets.
Business AdministrationGeopolitical Risk and FDI: How Political Tension Indices Predict Investment Flows and Shape Multinational Location Strategy
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About This Research Topic Foreign direct investment has always been sensitive to the political weather of the countries it flows into, but the last decade has sharpened that sensitivity into something investment analysts can no longer treat as background noise. Interstate conflict, sanctions regimes, trade wars, and sudden shifts in governance quality now show up directly in capital allocation decisions, and a growing toolkit of political tension indices exists specifically to help investors quantify what used to be treated as an unmeasurable "gut feel" about a country's risk profile. This article works through an academic study that set out to test how far these indices actually predict FDI flows, and how multinational enterprises fold that information into their location strategies. The research draws on responses from investment analysts, senior managers, and trade policy officers connected to investment activity in Nigeria and West Africa, applying descriptive statistics, correlation analysis, and regression to a structured survey. Readers who want to see how a study like this is put together chapter by chapter, including the methodology and sampling choices behind it, can browse the wider business administration research library for comparable examples. What follows sets out the background, problem, objectives, research questions, significance, scope, and key terms of the study, followed by a set of frequently asked questions on geopolitical risk and FDI. Main Abstract This study investigates the connection between geopolitical risk indices and foreign direct investment flows, paying close attention to how multinational enterprises adjust where and how they invest in response to political tension signals. Interstate conflicts, trade disputes, sanctions, and political instability have added new dimensions of uncertainty to global investment decisions — dimensions that conventional economic models struggle to capture on their own. Building on the OLI Eclectic Paradigm, Real Options Theory, and the Institutional Theory of FDI, the research used a descriptive survey design targeting investment analysts, senior managers at multinational firms, and trade policy officers involved in or overseeing investment activity in Nigeria and West Africa. A five-point Likert-scale questionnaire was distributed to 120 purposively and stratified-randomly selected respondents. The collected data were examined using descriptive statistics, Pearson correlation, and ordinary least squares regression. Results show that geopolitical risk measures, notably the Geopolitical Risk (GPR) Index and the World Bank's Political Stability indicator, act as significant negative predictors of inward FDI, accounting for close to 47 percent of the variance in location decisions within the sampled economies. A one-unit rise in perceived political tension corresponded with roughly a 0.63-unit fall in investment attractiveness ratings. Firms operating in higher-risk environments tended to adopt a "wait-and-see" stance consistent with real options reasoning, and institutional quality was found to soften the negative relationship between geopolitical risk and FDI. The study recommends that host governments strengthen governance, uphold the rule of law, and expand bilateral investment treaty networks as credible risk-mitigation signals, and suggests that future work examine sector-specific responses and the use of machine-learning-based geopolitical forecasting in investment decisions.
Business AdministrationGenerational Differences in Work Values and Retention Strategies for Generation Z
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About This Research Topic Every few years, a fresh cohort enters the workplace and unsettles the assumptions human resource teams had built their retention playbooks around. Generation Z — employees born between 1997 and 2012 — is doing exactly that, and doing it faster than most organisations expected. This article examines a study of private-sector employees in Lagos, Nigeria, that set out to answer a pointed question: do the retention tools that worked for Baby Boomers and Generation X — salary increments, pension schemes, long-service awards, hierarchical promotion — still hold up for a generation raised on instant connectivity and reshaped by successive global crises? For readers curious how a workplace-focused study like this is built from research question to hypothesis testing, our business administration project topics collection includes several comparable examples. What follows walks through the background of the study, the problem it investigates, its objectives and questions, and what its findings suggest for employers trying to hold on to their youngest talent. Main Abstract The entry of Generation Z into the workforce has raised a pointed question for employers: do the retention strategies built for Baby Boomers and Generation X still work? This study examined generational differences in work values between Gen Z and the cohorts that preceded it — Millennials, Generation X, and Baby Boomers — and tested how effective conventional retention tools, such as salary increases, pension schemes, long-term contracts, and hierarchical career ladders, actually are against what Gen Z employees say they want. Using a descriptive survey design, the researcher collected primary data from 210 respondents across selected private-sector organisations in Lagos, Nigeria, using a structured questionnaire built on a five-point Likert scale. The data were analysed through descriptive statistics, frequency distributions, and Pearson's chi-square test. The results showed statistically significant generational differences in work values. Gen Z respondents placed markedly higher value on workplace flexibility, purposeful work, mental health support, continuous learning, and digital integration than older cohorts, who leaned more toward job security, salary, and pension benefits. Traditional retention tools showed limited effectiveness among Gen Z respondents specifically — most indicated that compensation alone was not enough to keep them committed to an organisation. The study concludes that human resource practice needs a genuine recalibration to match the motivational profile of Generation Z, and recommends a multi-dimensional, personalised retention approach built around flexible working arrangements, technology-driven engagement, transparent communication of organisational purpose, and mental wellness support.
Business AdministrationFinancial Literacy and Its Impact on the Profitability of Small Business Owners in Nigeria
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About This Project Topic Small business owners across Nigeria carry a disproportionate share of the country's economic weight, yet a striking number struggle to convert daily effort into lasting profit. The gap, research increasingly suggests, often has less to do with market conditions and more to do with how well an entrepreneur understands and manages money. This article draws on a study of small business owners in Lagos State to examine how financial literacy — the practical ability to keep records, read financial statements, budget, and use credit wisely — shapes business profitability. Readers who want to see how a research question like this is developed from title to methodology can browse our library of business administration project topics for further examples drawn from Nigerian enterprises. The sections that follow walk through the background of the study, the specific problem it addresses, its objectives and guiding questions, and what the findings mean in practice for entrepreneurs, lenders, and policymakers. Main Abstract Financial literacy has become a widely recognised factor in the performance of small and medium-sized enterprises, particularly in developing economies where formal financial education is uneven. This study set out to examine how financial literacy affects the profitability of small business owners in Nigeria, with Lagos State as the specific area of focus. A descriptive survey design was adopted, and 200 registered small business owners were selected through stratified random sampling. Structured questionnaires were used to gather data, which was then analysed using descriptive statistics and regression analysis. The results showed that most small business owners in Lagos operate with only a moderate grasp of financial concepts, with particular gaps in record-keeping, tax compliance, and capital budgeting. Financial literacy was found to have a significant positive relationship with profitability, and bookkeeping practices, access to credit, and budgeting ability stood out as the most influential variables. Taken together, these financial literacy factors accounted for roughly 61 percent of the variation in profitability observed among respondents. Statistical testing confirmed that both record-keeping practices and access to credit had a significant effect on profitability at the 0.05 level. The study concludes that strengthening financial literacy among small business owners is not simply an academic concern but a practical necessity for business survival and growth. It recommends closer collaboration between government agencies, non-governmental organisations, and financial institutions to design financial education programmes suited to the day-to-day realities of Nigerian entrepreneurs.
Business AdministrationESG Reporting Quality and Cost of Capital in Nigeria
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About This Research Topic Does putting real effort into ESG reporting actually pay off for a listed company, or is it just a compliance box to tick? This article reworks a full undergraduate research project — titled ESG Reporting Quality, Investor Confidence and Firm Valuation: Whether Better ESG Disclosures Reduce Cost of Capital Among Listed Firms — into a clear, search-friendly guide that preserves the original study's aim, objectives, and scope while making the material more accessible to students, finance professionals, and researchers. The question at its core sits at the intersection of accounting, corporate finance, and investor psychology: do higher-quality Environmental, Social, and Governance disclosures actually translate into cheaper financing for firms listed on the Nigerian Exchange Group? If you are scoping a related finance, accounting, or corporate governance project, you may find it useful to browse related accounting and finance project topics before settling on a final title. What follows traces the full logic of the original study — from the regulatory backdrop shaping ESG disclosure in Nigeria, through its problem statement, objectives, and research questions, to its practical significance for firms, investors, and regulators — closing with ten frequently asked questions drawn from its findings. Main Abstract Environmental, Social, and Governance reporting has become one of the primary channels through which listed firms communicate non-financial performance to investors, regulators, and the wider public. Yet even as ESG disclosure practices spread globally, considerable debate remains over whether the quality of that reporting — not merely its existence — produces measurable financial benefits, particularly a lower cost of capital. This study examined the relationship between ESG reporting quality, investor confidence, and firm valuation among firms listed on the Nigerian Exchange Group. A descriptive survey design was adopted, drawing respondents from finance directors, investor relations officers, compliance managers, and investment analysts connected to NGX-listed companies. A structured, thirty-item questionnaire built on a five-point Likert scale was administered to 210 respondents selected through stratified random sampling, and the resulting data were analysed using descriptive statistics, Pearson correlation, and ordinary least squares regression. The results showed that ESG reporting quality has a significant positive effect on investor confidence (r = 0.71, p < 0.05). High-quality ESG disclosures were also significantly associated with lower costs of both equity and debt capital, suggesting that firms reporting more transparently and comprehensively on ESG matters benefit from cheaper financing. Investor confidence was found to partially mediate the relationship between ESG reporting quality and firm valuation, a pattern consistent with the predictions of stakeholder theory, signalling theory, and the information asymmetry perspective. The study recommends that the Securities and Exchange Commission and the Financial Reporting Council of Nigeria mandate standardised ESG reporting frameworks for listed firms, and that firms themselves invest in ESG reporting competencies and weave material ESG factors into their core investor relations strategies.
Business AdministrationE-Commerce Logistics: Last-Mile Delivery in Emerging Markets
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About This Research Topic Order a phone charger on Jumia in Lagos and it might arrive the next afternoon. Order the same item to a neighbourhood twenty minutes outside the city centre, and that same parcel can take three days, get rerouted twice, or arrive at all only after the courier calls for directions. This gap between what e-commerce promises and what logistics infrastructure can actually deliver is one of the defining tensions of digital commerce in emerging markets today. This article draws on an original empirical study of e-commerce logistics and last-mile delivery in Lagos and Abuja, Nigeria, examining the bottlenecks, infrastructure gaps, and third-party logistics (3PL) partnerships shaping delivery outcomes. It is written for students, researchers, and operators trying to understand why last-mile delivery remains the hardest problem in the e-commerce supply chain, and what the evidence says about fixing it. Students building on this theme can find related studies in ScholarNestHub's business administration project topics , spanning supply chain, analytics, and operations research. Main Abstract E-commerce has grown explosively across Sub-Saharan Africa, South Asia, and Latin America, but the logistics infrastructure needed to fulfil that growth reliably has not kept pace. This study examined the nature and severity of last-mile delivery bottlenecks in emerging markets, focusing on infrastructure deficiencies and the role of 3PL partnerships in closing operational gaps, using Nigeria as the primary reference context. A descriptive survey design was used, drawing responses from 210 participants across logistics companies, e-commerce firms, and retail consumers in Lagos and Abuja. A structured, five-point Likert-scale questionnaire served as the main data collection instrument, with data analysed through descriptive statistics, frequency tables, and chi-square tests of independence. The findings identified poor road infrastructure, inadequate addressing systems, limited last-mile carrier capacity, and unreliable power supply as the most severe bottlenecks in emerging-market e-commerce logistics. 3PL partnerships were found to significantly improve delivery speed and geographic reach, though their effectiveness depended on contractual clarity, technology integration, and regulatory maturity. Hypothesis testing confirmed statistically significant relationships between infrastructure quality and delivery performance, and between 3PL adoption and customer satisfaction. The study recommends that e-commerce operators adopt geocoding and what3words-style addressing technologies to offset weak addressing infrastructure, build hybrid delivery models that combine 3PL partnerships with community-based agents, and advocate collectively for public investment in rural road networks. It also urges policymakers to treat logistics infrastructure as a prerequisite for digital economy growth, and calls on 3PL providers to design flexible, technology-driven service tiers suited to the topographical and socioeconomic realities of emerging markets.
Business AdministrationAlgorithmic Advertising Nigeria: Impulse Buying & Loyalty
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About This Research Topic Open any smartphone belonging to a young shopper in Lagos, Owerri, or Enugu today and you will notice something curious: the adverts that appear seem to already know what that person wants. A pair of sneakers browsed on Jumia yesterday reappears on Instagram this morning. A skincare brand "remembers" a search from last week and follows up with a discount code. This is not coincidence — it is algorithmic advertising at work, and it has quietly become one of the most powerful forces shaping how Nigerians shop online. As digital commerce expands across the country, understanding this force is no longer optional for marketers, students, or policymakers. This article distills an original empirical study conducted among online shoppers in Owerri, Imo State, examining how algorithm-driven advertising techniques — behavioural retargeting, personalised recommendations, and social media targeting — shape two outcomes that matter enormously to businesses: impulse buying and brand loyalty. For students and researchers looking to build on this line of enquiry, ScholarNestHub's collection of business and marketing research topics offers a useful starting point for related project ideas. The sections below walk through the study's background, problem statement, objectives, and definitions, rewritten and expanded for a general academic and business readership. Main Abstract This study set out to understand how algorithmic advertising — a defining feature of contemporary digital marketing analytics — shapes impulse buying and brand loyalty among Nigerian online shoppers. E-commerce platforms and social networks increasingly rely on machine-driven targeting to decide which product a consumer sees, and when, yet very little Nigerian research has tested whether these mechanisms actually change buying behaviour in a local market. Using a descriptive survey design, the research sampled 200 active online shoppers aged 18–45 in Owerri, Imo State, selected through purposive and stratified random sampling. A 25-item Likert-scale questionnaire captured respondents' exposure to and reactions toward algorithmically targeted advertising, and the resulting data were analysed using descriptive statistics alongside Pearson correlation and simple regression, with three hypotheses tested at the 0.05 significance level. The results were striking. Algorithmic advertising showed a statistically significant, positive relationship with impulse buying (r = 0.684, p < 0.05) and a similarly significant positive relationship with brand loyalty (r = 0.621, p < 0.05). Personalised product recommendations stood out as the single most influential driver of impulse purchases, while repeated, consistent ad exposure combined with positive post-purchase experience did the most to build loyalty. Shoppers between 18 and 34 years old were the most responsive to these algorithmic cues of all age groups sampled. The study concludes that algorithmic advertising is now a decisive force in Nigerian consumer behaviour — one that carries real commercial upside alongside genuine ethical questions around manipulation and data use. It recommends that businesses adopt personalisation responsibly and that Nigerian regulators continue developing frameworks fit for an algorithm-driven advertising economy.
Business AdministrationData-Driven Decision Making (DDDM) Maturity and Firm Performance: Linking Analytics Capability to Sales Growth, Cost Efficiency and Customer Satisfaction
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About This Research Topic "We're a data-driven company" has become one of the most repeated lines in modern business, and one of the least examined. Most studies simply ask whether a firm uses data at all, as if that were a yes-or-no question, when in practice there is an enormous gap between a firm that glances at last month's sales report and one that has built prediction and decision-making directly into how it operates. This study treats that gap as the actual research question: not whether Lagos State firms use data, but how deeply and systematically they do, and whether that depth shows up in real performance numbers. Students exploring a related quantitative business research project can browse ScholarNest's Business Administration project topics for related ideas in firm-level analytics and organisational performance. This article walks through a complete undergraduate research project built around that exact question: whether data-driven decision-making (DDDM) maturity, treated as a continuum rather than a binary, predicts sales growth, cost efficiency, and customer satisfaction among firms in Lagos State, Nigeria. Grounded in the Resource-Based View and Dynamic Capabilities Framework, the study surveys 120 respondents across 20 firms in manufacturing, services, and retail, then tests three hypotheses using Pearson correlation. What follows breaks down the study's background, problem statement, objectives, and scope, for students, researchers, and business decision-makers curious about what actually separates data-driven firms from firms that merely say they are. Main Abstract The growing prevalence of digital technologies and the exponential accumulation of business data have elevated data-driven decision making (DDDM) from a competitive differentiator to a strategic imperative for modern firms. However, most empirical studies in the developing-world context have examined DDDM as a binary phenomenon — either firms use data or they do not — rather than as a maturity continuum with measurable performance implications. This study addressed that gap by examining the relationship between DDDM maturity and firm performance across the dimensions of sales growth, cost efficiency, and customer satisfaction among selected businesses in Lagos State, Nigeria. Anchored on the Resource-Based View (RBV) theory and the Dynamic Capabilities Framework, the study adopted a descriptive survey research design. A structured questionnaire, validated through expert review and tested for reliability using Cronbach's Alpha (α = 0.86), was administered to a sample of 120 respondents drawn from 20 purposively selected firms across the manufacturing, services, and retail sectors. Data collected were analysed using descriptive statistics (frequency counts, means, and standard deviations) and Pearson's Product Moment Correlation Coefficient for hypothesis testing, with all analyses conducted at a 0.05 level of significance. The findings revealed a strong positive and statistically significant relationship between DDDM maturity and sales growth (r = 0.71, p < 0.05), a moderate positive relationship between analytics capability and cost efficiency (r = 0.58, p < 0.05), and a strong positive relationship between data usage in customer intelligence and customer satisfaction scores (r = 0.68, p < 0.05). All three null hypotheses were rejected. The study concluded that the depth and institutionalisation of analytics capability within a firm — not merely its existence — are what drive meaningful performance improvements. Firms were recommended to invest in analytics infrastructure, build data literacy across all organisational levels, and appoint dedicated data governance leadership. Directions for further research, particularly longitudinal and sector-specific studies, were also proposed.
Business AdministrationCYBERSECURITY RISK MANAGEMENT AND BUSINESS CONTINUITY
Idongesit James
Cyber threats have emerged as one of the most consequential risks facing modern organisations, with the potential to inflict severe financial losses, disrupt operations, and erode hard-won reputational capital. This study examines how firms operating in Nigeria's financial and telecommunications sectors apply the NIST Cybersecurity Framework (NIST CSF) and ISO/IEC 27001 to manage cybersecurity risks and sustain business continuity. The research adopted a descriptive survey design and collected primary data from 234 respondents drawn from IT departments, risk management units, and compliance offices across fifteen purposively selected firms in Lagos, Abuja, and Port Harcourt. Data were gathered through a structured 28-item Likert-scale questionnaire validated through expert review and pilot testing. Three hypotheses were tested using Pearson's correlation and regression analysis at a 0.05 level of significance. Findings reveal that both frameworks are positively and significantly related to improved business continuity outcomes (r = 0.712, p < 0.05 for NIST CSF; r = 0.689, p < 0.05 for ISO 27001). The study further demonstrates that firms with ISO 27001 certification report lower mean financial loss from cyber incidents (mean = 2.14) relative to non-certified counterparts (mean = 3.67). Additionally, a statistically significant relationship exists between framework adoption maturity and reduced reputational damage, as measured by customer trust indices. The study concludes that structured cybersecurity frameworks, when embedded within broader enterprise risk management strategies rather than deployed as compliance tick-box exercises, materially strengthen an organisation's capacity to prevent, detect, and recover from cyber incidents. Recommendations include mandatory baseline NIST CSF adoption for firms in critical infrastructure sectors, government-backed incentives for ISO 27001 certification among SMEs, and integration of cybersecurity KPIs into board-level performance reviews. Keywords: Cybersecurity risk management, NIST Cybersecurity Framework, ISO 27001, business continuity, reputational damage, financial risk, Nigeria.
Business AdministrationCORPORATE GREENWASHING: DETECTION, CONSUMER RESPONSE AND REGULATION
Idongesit James
Corporate greenwashing — the deliberate misrepresentation of environmental credentials by firms seeking commercial advantage — has emerged as one of the most consequential ethical challenges facing sustainable business practice in the twenty-first century. As consumer interest in environmental responsibility has grown, so too has the incentive for companies to project a green image without incurring the costs of genuine sustainability transformation. This study investigated the mechanisms by which consumers detect misleading environmental claims, the behavioural and attitudinal responses that detection triggers, and the regulatory frameworks capable of curtailing greenwashing practices. A descriptive survey research design was adopted, targeting adult consumers in Lagos State, Nigeria. A structured questionnaire employing a five-point Likert scale was administered to a sample of 250 respondents drawn through stratified random sampling. Data were analysed using frequency counts, percentages, mean scores, standard deviation, and independent samples t-tests. Findings revealed that the majority of respondents (68.4%) had encountered what they believed to be greenwashing in their purchasing experience, yet only 31.2% felt confident in their ability to identify specific deceptive practices. Consumers primarily relied on label scrutiny, third-party certification verification, and peer reviews as detection strategies. The study further found that greenwashing significantly erodes brand trust, reduces repurchase intention, and amplifies negative word-of-mouth, with statistically significant differences in response patterns between high- and low-environmental-concern consumer segments. Regulatory awareness was low, with 54.8% of respondents unaware of any existing framework governing green marketing claims in Nigeria. The study concludes that a combination of mandatory third-party verification, enforceable labelling standards, robust consumer education programmes, and harmonised national regulation constitutes the most effective bulwark against greenwashing. Recommendations are addressed to regulators, corporations, consumer advocacy bodies, and future researchers. Keywords: Greenwashing, Green Marketing, Consumer Behaviour, Environmental Claims, Regulation, Sustainability, Nigeria
Business AdministrationBRAND AUTHENTICITY, INFLUENCER MARKETING AND CONSUMER TRUST IN THE CREATOR ECONOMY: WHETHER MICRO-INFLUENCERS ARE MORE TRUSTED THAN MACRO-INFLUENCERS — AND WHY IT MATTERS
Idongesit James
The rapid expansion of the creator economy has fundamentally altered how brands communicate with consumers. Influencer marketing, now a multi-billion-dollar industry, relies heavily on the perceived authenticity of online personalities to drive consumer trust and purchase decisions. Yet not all influencers carry equal persuasive weight, and academic literature increasingly distinguishes between micro-influencers (those with 1,000–100,000 followers) and macro-influencers (those with over 100,000 followers) in terms of credibility, relatability, and audience engagement. This study investigates whether micro-influencers generate higher levels of consumer trust than their macro counterparts, and examines the mediating role of brand authenticity in this relationship. Using a descriptive survey research design, data were collected from 220 social media users across Nigerian university campuses through a structured questionnaire anchored on a five-point Likert scale. The study drew on the Elaboration Likelihood Model, Source Credibility Theory, and Para-social Interaction Theory as its theoretical foundations. Data were analysed using descriptive statistics, Pearson correlation, and simple regression analysis with the aid of IBM SPSS version 26. Findings reveal that micro-influencers are perceived as significantly more authentic, relatable, and trustworthy than macro-influencers among the sampled population. Brand authenticity was found to be a strong positive mediator of the relationship between influencer type and consumer trust. Additionally, perceived authenticity was the single most important predictor of consumer purchase intention in influencer-mediated marketing environments. These results carry important implications for brand managers, digital marketing strategists, and future researchers seeking to optimise influencer selection and campaign credibility in emerging markets. Keywords: Brand Authenticity, Influencer Marketing, Consumer Trust, Micro-Influencers, Macro-Influencers, Creator Economy, Para-social Interaction, Purchase Intention
Business AdministrationAI ADOPTION AND EMPLOYEE PRODUCTIVITY IN SMALL AND MEDIUM-SIZED ENTERPRISES (SMEs): OPPORTUNITIES, PRODUCTIVITY GAINS, AND RESISTANCE TO CHANGE
Idongesit James
The increasing availability of affordable artificial intelligence tools has opened new possibilities for small and medium-sized enterprises (SMEs) seeking to improve operational efficiency and workforce productivity. Yet despite the growing accessibility of these technologies, many SMEs continue to lag behind in AI adoption, and where adoption occurs, outcomes are frequently below expectations. This study examined the relationship between AI adoption and employee productivity in SMEs in Onitsha, Anambra State, Nigeria, with particular attention to the productivity gains associated with AI integration and the organisational and behavioural barriers that impede sustained adoption. A survey research design was employed. The study population comprised owners, managers, and employees of registered SMEs in the Onitsha metropolis. Using Yamane's formula, a sample of 234 respondents was drawn from a population of 1,500 employees across 80 SMEs, selected through stratified and purposive sampling techniques. Data were collected through a structured questionnaire of 28 items rated on a five-point Likert scale. Validity was established through expert review and content validity ratio, while Cronbach's alpha was used to confirm reliability (α = 0.84). Descriptive statistics, including mean and standard deviation, were employed to answer research questions, while the Pearson Product-Moment Correlation Coefficient and independent samples t-test were used to test hypotheses at a 0.05 level of significance. The findings revealed a significant positive relationship between AI adoption and employee productivity in SMEs (r = 0.71, p < 0.05). AI tools were found to enhance task completion speed, reduce error rates, and improve customer response times. However, resistance to change — driven by fear of job displacement, low digital literacy, and inadequate managerial support — emerged as the most significant barrier to sustained AI adoption. Furthermore, the study found a statistically significant difference in productivity levels between AI-adopting and non-AI-adopting SMEs (t = 6.43, p < 0.05). The study recommends that SME owners invest in targeted digital literacy training, adopt participatory change management strategies that involve employees in AI integration decisions, and seek government and institutional support for technology access. Policy-makers should design incentive frameworks that lower the cost of AI adoption for small businesses operating in resource-constrained environments. Keywords: Artificial intelligence, AI adoption, employee productivity, SMEs, resistance to change, digital transformation, Nigeria
Business AdministrationAfCFTA IMPLEMENTATION, INTRA-AFRICAN TRADE BARRIERS AND SME EXPORT READINESS
Idongesit James
The African Continental Free Trade Area (AfCFTA), which entered into force in May 2019 and commenced trading under its framework in January 2021, represents the most ambitious trade liberalisation initiative in Africa's post-independence history. Despite the promise it holds for integrating a market of 1.4 billion people with a combined GDP of approximately US$3.4 trillion, persistent structural and institutional trade barriers continue to impede the access of small and medium-sized enterprises (SMEs) to intra-African markets. This study examined the extent to which AfCFTA implementation has translated into practical export opportunities for SMEs, with specific focus on Lagos State, Nigeria. The study adopted a descriptive survey research design with a mixed-quantitative orientation. A structured questionnaire based on a five-point Likert scale was administered to 143 SME operators and trade facilitation officers drawn purposively from Lagos State. Data were analysed using descriptive statistics, frequency distributions, and the independent samples t-test for hypothesis testing. Findings revealed that while awareness of AfCFTA among SME operators is moderately high (mean = 3.62), actual export readiness remains low (mean = 2.41), constrained primarily by non-tariff barriers, inadequate trade finance, limited digital infrastructure, and weak institutional support. The study further found a statistically significant relationship between AfCFTA-related institutional reforms and SME export performance. The study concludes that AfCFTA's promise has not yet been matched by structural conditions that enable SMEs to participate meaningfully in intra-African trade. It recommends targeted public–private interventions, simplified rules of origin, and digitisation of trade documentation as priority areas for policy attention. Keywords: AfCFTA, SME export readiness, intra-African trade barriers, trade liberalisation, non-tariff barriers, Nigeria
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