medium-sized enterprises (SMEs) between 2015 and 2025, with particular focus on trends in cyber threat exposure, defensive investment patterns, and the regulatory impact of the NIS2 Directive. Given the limited availability of long-term firm-level microdata, the research combines aggregated EU-level time-series data (Eurostat, ENISA, IBM) with a calibrated synthetic SME dataset (N = 100) to model maturity dynamics. Time-series forecasting was conducted using Prophet models to analyze the development of incident frequency (INCID_FREQ) and cybersecurity investment intensity (SPEND_RATIO), treating NIS2 as an exogenous regulatory shock. In parallel, K-Means clustering was applied across three maturity dimensions (investment ratio, NIS2 compliance level, and incident response time) to identify distinct cybersecurity profiles. The results indicate that cyber threat exposure has increased at a faster pace than defensive expenditures, particularly between 2015 and 2020. While the anticipated NIS2 effect in 2025 generates a measurable surge in security spending, it does not ensure long-term convergence between risk growth and investment intensity. The cluster analysis identifies three maturity groups (Ad-hoc, Managed, and Optimized) corresponding to consolidated CMMI and NIST-CSF levels. These findings suggest that regulatory pressure can accelerate short-term adaptation, but sustainable cybersecurity maturity among SMEs requires structural capability development, governance improvements, and strategic investment alignment
Locally produced drinks play a significant role in the cultural, economic and culinary lives of rural dwellers in Nigeria. However, factors influencing their consumption remain poorly understood. This study investigated these critical factors among local drink consumers in rural areas of Osun State, Nigeria with a view to suggesting policy recommendations for the development of small-scale local food business. It employed a multistage sampling procedure to select 205 respondents. Primary data collected with a structured interview schedule and in-depth interview guide were analysed using descriptive statistics and factor analysis. The study revealed that many (52.1% and 83.0%%) of the respondents were male and married, respectively, mean age was 40±12 years while mean household size was 6 persons. Zobo (100%), palm wine (99.5%), and soymilk (95.6%) were the most available local drinks in the study area. The sensory characteristics (63.45%), production (66.96%), and functional characteristics (74.03%) of the drinks were mostly considered by the consumers. The factors influencing consumption were the characteristics of the drinks, the educational background, and the economic status of the consumers. The study concluded that the identified factors were essential to the development of the local drinks industry and the small-scale food business in the study area. Policy recommendations that could provide a framework for this development were suggested based on the findings of the study.
This study examined the predictors of utilization and intensity of use of Farmer Field Business School (FFBS) recommendations among maize farmers in North West Nigeria. A structured questionnaire was administered to 231 FFBS participants in Kaduna and Kano States. Data were analysed using weighted mean scores, a Utilization Index, Probit regression for the binary utilization decision, and Tobit regression for intensity of use. Results showed that 95.7% of participants utilized FFBS recommendations, yielding a mean Utilization Index of 0.7415. Intensity of use varied widely across practice areas: planting and fertilizer application recorded the highest intensity (WM = 2.49 each), while use of Aflasafe and field measurement returned low scores (WM = 1.39 and 1.58). The Probit model identified sex (p < 0.10), age (p < 0.10), household size (p < 0.05), and land acquisition mode (p < 0.01) as significant determinants of the utilization decision. The Tobit model showed that marital status (p < 0.05), household size (p < 0.10), frequency of extension visits (p < 0.01), and the Perception Index of FFBS (p < 0.01) significantly influenced optimum use. These findings underscore the importance of targeted extension engagement and positive programme perception in deepening practice uptake among smallholder farmers.
This study determines the factors influencing macadamia nut productivity among smallholder farmers in Zimbabwe's Chipinge District. Despite favourable agro-ecological conditions, smallholder productivity (1.89t/ha) significantly lags behind commercial farmers (3.9t/ha) and global benchmarks (7.17t/ha). Using cross-sectional data from 284 registered smallholder farmers collected in 2023-2024, ordinal regression analysis identified critical productivity determinants. Results revealed that farming experience significantly increases productivity, with each additional year of experience raising the log odds of achieving higher productivity by 18.4% (p<0.05). Labour availability positively influences productivity (p<0.05), particularly during labour-intensive operations like pruning and harvesting. Farm resilience score, capturing innovations that reduce field losses and improve market access, exhibited a strong positive effect (p<0.01). Unexpectedly, financial management skills (FMS) and risk management skills (RMS) demonstrated significant negative effects (p<0.05), suggesting a "formalization penalty" where sophisticated management systems incur overhead costs that fail to yield proportional returns in contexts of pervasive market failure, price volatility, and liquidity constraints. The study concludes that while farm experience, labour capacity, and resilience-building investments enhance productivity, the effectiveness of formal management skills is constrained by fundamental market structure failures. Policy recommendations emphasize capacity building in experiential learning, labour skill development, resilience-enhancing technologies, and most critically the market structure reforms to enable formal management systems to function effectively. Addressing transaction costs, information asymmetry, and capital access constraints must precede investments in sophisticated farm management training.
This study examines the dynamics of youth livelihood choices and aspirations in agriculture, focusing on how combined socio-economic, individual, and household characteristics in Bure Zuria Woreda, a rural community in West Gojjam, Northwest Ethiopia, influence youths' future-oriented livelihood decision-making. In the study, we employed a sample survey of 232 randomly selected young farmers, purposively selected 12 focus group discussions (FGD), 12 in-depth interviews (IDI), and 16 key informant interviews (KII). Using both individual and household data, we conducted a multi-stage analysis to understand the impacts of socioeconomic factors on youth livelihood choices. The study used a mixed method to triangulate the qualitative and quantitative analysis, specifically descriptive statistics and a multinomial logistic regression model along with thematic analysis for qualitative data. We contextualize young people in agriculture by exploring how changing access to land, educational levels, gender, the conditions of agriculture, the economic viability of the agricultural sector, and the perceptions of the status of agriculture influence livelihood decision-making. The result shows that youth livelihood choices and aspirations in agriculture are affected by socio-demographic factors at the individual, household, and societal levels. Farming land size, educational level, gender, the conditions of agriculture in the locality, the economic viability of agriculture, and nearby family career preferences were found among the factors that determine the aspirations and livelihood of young people in agriculture. Therefore, targeted interventions are essential to improve youth livelihood options in agriculture.
Information and Communication Technologies (ICTs) represent veritable tools for developing farmers’ capabilities in production resource optimisation. The study assessed fruit and vegetable farmers’ expertise and utilisation of ICT for cucumber and watermelon production. Members of the Osun State Exotic Fruit Farmers’ Group were randomly sampled (90 of 102 farmers) for the study. Data were collected using an interview schedule and analysed using descriptive statistics and multivariate regression analysis. Results reveal the farmers’ mean age was 43.8±10.33 years, and two-thirds (66.67%) were male. Low proportions (19.2% and 14.81%) were good and excellent in ICT use expertise, while many (42.96%) were poor. Some (18.89%) explored social media for linking high-value markets, and 16.67% searched online pages or links in learning about artificial pollination. Farmers’ ICT use expertise and extent of utilisation for cucumber and watermelon production purposes were significantly influenced by their familiarity with ICT tools (b = 1.29 and 1.47) and years of ICT use experience (b = 0.09 and 0.16), respectively, at p≤0.05 significance level. Experience and familiarity with ICT usage spurred farmers to greater proficiency and consequent increased utilisation to optimise cucumber and watermelon production. Specialised ICT training should be prioritised for farmers’ capacity building in intervention programmes
Food loss and waste remain a substantial challenge in agricultural value chains, particularly in developing countries. This study examines the influence of governance of food loss and waste within the pineapple value chain in Tanzania. Using qualitative methods, data were collected in Dar es Salaam. Geita, Morogoro, and Pwani regions through focus group discussions, interviews, and observations. The study mapped actors and explored the role of governance, power dynamics, and coordination, drawing on resource dependence and institutional theories to explain how actor relationships, power imbalances, and institutional influences shape food loss and waste. Three types of governance structures were revealed- Spot market, captive, and relational structures, affecting food loss differently. In the captive governance structures, pre-finance arrangements lock farmers into selling only to specific traders, often leading to significant on-farm losses when market conditions shift. Spot markets, on the other hand, generate losses when harvested fruits do not meet the informal standards set by buyers, such as size, ripeness, and other physical attributes, due to limited market information. Weak coordination, information asymmetry, and power imbalances among value chain actors contribute to substantial food loss and waste. Main challenges faced by farmers include poor access to markets, financial constraints, and weak bargaining power. Institutional gaps, including weak regulatory frameworks and inadequate support from government and private sector, exacerbate inefficiencies. The study emphasizes that governance plays a central role in shaping food loss and waste. Strengthening farmers' associations, improving market linkages, and addressing institutional gaps are critical for reducing food loss and waste and increasing value chain resilience.
While blockchain technology (BCT) has emerged as a disruptive force capable of redefining trust and transparency in global supply chains, its adoption among Small and Medium-sized Enterprises (SMEs) remains critically low, resulting in a severe digital productivity paradox. Existing literature predominantly attributes this technological lag to financial constraints and complex technical requirements. This study challenges the traditional cost-centric paradigm by exploring the underlying cognitive, organizational, and institutional factors driving SME decision-making. Utilizing a qualitative, exploratory research design, 22 semi-structured in-depth interviews were conducted with strategic decision-makers across five SME sectors in Hungary. The theoretical framework synthesized the Technology Acceptance Model (TAM), the Unified Theory of Acceptance and Use of Technology (UTAUT), and Institutional Theory. An innovative "negative proof" thought experiment—assuming 100% external funding—was applied to rigorously isolate cognitive barriers from financial constraints. The findings reveal that the primary barrier to adoption is a fundamental cognitive gap: the lack of technological awareness, profound fears regarding transparency (e.g., GDPR conflicts, trade secrets), and exceptionally low perceived business usefulness. Furthermore, SME innovation strategies regarding decentralized networks are structurally reactive. Adoption intentions are almost exclusively driven by coercive institutional isomorphism—specifically, the mandates of dominant multinational partners and regulatory compliance—rather than internal innovativeness. These insights emphasize that BCT must be treated as a socio-technical system, necessitating proactive mentoring from large corporate integrators and targeted regulatory frameworks to bridge the technological divide.
ICT, digital and smart tools are an integral part of a competitive agriculture in the 21st century. The world's population is growing, which also means that demand for food will increase, so there is a need to increase agricultural productivity (increasing output/input factor efficiency), for which technological innovation is essential. An important aspect is that some factors of production in agriculture are limited (land, water, etc.), so a fundamental issue for farmers in agriculture is how to carry out their agricultural activities in a sustainable and cost-effective way. Innovative and modern solutions are needed to increase productivity in agriculture in a sustainable way. Digitalisation, of which data and the information derived from data are an integral part, is the basis for these innovative solutions. Technological progress and digitalisation are making a major contribution to the emergence of sustainable agriculture. The aim of the present study is to briefly describe the development and milestones of agriculture, based on a literature review, and to highlight the importance of agricultural digitisation, especially from the perspective of sustainable agriculture.
Tobacco remains Zimbabwe's Leading agricultural export crop, increasingly produced under contract farming arrangements. While contract farming offers inputs, technical assistance and assured markets, concerns persist that benefits are skewed towards merchancts rather than smallholder farmers. This study investigates the determinants of smallholder participation in tobacco contract farming in ward 22, Svosve communal area, Marondera District, Mashonaland East Province. Guided by the New Institutional Economics(NIE) theory, which emphasises the role of institutions in reducing transaction cost under market imperfections, a mixed methods approach was employed. Quantitative data were from 246 communal tobacco farmers using qestionnaires, while qualitative insights were gathered from 10 key informant interviews with agricultural business advisory officers(ABAO), tobacco merchants and farmer leaders. Multistage sampling was used select 5 villages;Mere 1, Mere 2, Mere 3, Neshamba and Bonda. Data were analysed using descriptive statistics and multiple linear regression in SPSS version 25. The statistics revealed that contracted farmers had higher education levels(10 years), larger landholding(mean 2.1 hacters) and greater access to irrigation(65%) than their counterparts. The regression model was statistically significant (F = 24.73, p < 0.001) with a strong explanatory power (R² = 0.68; Adjusted R² = 0.65). Results showed that landholding size (β = 0.62) and years in contract farming (β = 0.45) were the strongest positive predictors of participation, followed by irrigation access (β = 0.38), household income (β = 0.31), and education level (β = 0.29). In contrast, multiple income sources (β = -0.27) and years in general agriculture (β = -0.27) negatively influenced participation, indicating that diversified and highly experienced farmers were less inclined to join contracts. The discussion highlighted that resource endowments and institutional support drive participation, while lack of collateral and financial literacy hinder broader inclusion. The study concludes that contract farming remains a viable pathway for smallholder integration into value chains but requires reforms to ensure equitable benefits. Policy implications emphasize collateral support, farmer training, and resource provision particularly land development and irrigation infrastructure to enhance participation and productivity among smallholder farmers.
Agricultural extension services play a vital role in Ghana’s vegetable sector modernization and growth agenda. The Government of Ghana has made efforts to enhance extension delivery by improving the Agricultural Extension Agent (AEA)-farmer ratio from 1:1,906 in 2016 to 1:709 in 2020. However, access to extension services remains limited, raising concerns about their reach and effectiveness. This study examines the socio-economic factors influencing farmers’ access to extension services in Ghana, focusing on the role of credit, farmer-based organizations (FBOs), and experience. Specifically, it analyzes the determinants of access using the Tobit model to predict probabilities and expectations associated with corner solution responses. Cross-sectional data were collected from 400 vegetable farmers across selected regions of Ghana. Findings revealed that, on average, a randomly selected vegetable farmer had about a 33% probability of accessing extension services. Key socio-economic factors influencing access included credit availability, FBO membership, household size, and farming experience. The study recommends strengthening and expanding FBOs to improve access, enhancing collaboration between government and financial institutions to facilitate credit, and providing adequate logistical and operational support to district extension directorates to ensure timely and effective service delivery across Ghana.
Widowhood is a catastrophic event for women farmers at any stage of their lives, with serious implications for their well-being. We examines the effect of household commercialization on poverty of widowed cowpea farmers in North-east Nigeria. Multistage dsampling procedure was employed which arrived at 525 respondents. The Data were collected using structured questionnaire and analysed using both descriptive and inferential statistic (muliple regression). The result revealed that Household commercialization index (HCI) was 55.44% and 54.19% of the IDPs and host communities respectively. The average progress out of poverty index (PPI) score was lower for IDP farmers (33.55) compared to host community farmers (42.96) with homogeneity in both. Explanatory variables influencing PPI explained 35.30% of its variation, Legume farming experience and value harvest were found to be improving PPI, Household size and IDP status were reducing the PPI. The HCI was explaining 4.7% of Poverty of widowed cowpea farmers, and the HCI had inverse relationship with poverty. All in all, widowed cowpea farmers’ household commercialization increases poverty by 0.126, with heterogeneity among households with higher legume farming experience, lower household sizes, IDPs host communities and higher value of cowpea which experienced less poverty in the study area. Strengthening cooperative development, promoting value addition of cowpea products, expanding access to financial services and targeted support for widowed farmers is hence recommended.
Over the past decade, an intensive industrialization process has unfolded in Debrecen, driven primarily by foreign direct investment (FDI). Large-scale industrial investments—particularly projects in the automotive and battery industries—are fundamentally transforming the city’s economic structure. The aim of the research is to examine how new industrial investments are altering Debrecen’s manufacturing structure, as well as to what extent the emerging industrial structure differs from the previous economic structure. The empirical basis of the study is the manufacturing production database of the Central Statistical Office, as well as land-use data from companies operating in or relocating to Debrecen’s two main industrial zones (the Southern Economic Zone and the Northwestern Economic Zone). During the research, I applied several empirical methods: the Herfindahl–Hirschman concentration index, shift–share analysis, and finally, the Location Quotient assessment. The results show that the new wave of industrialization is leading to significant industrial concentration. More than ninety percent of the manufacturing area in the industrial zones examined is linked to two industries—vehicle manufacturing and electrical equipment manufacturing. The significant increase in concentration indices indicates that Debrecen’s economy is shifting toward a specialized industrial model. This process holds significant potential for economic growth, but it also increases the risk of economic vulnerability.
In our survey-based research, assessed the opinions of 39 small and medium-sized enterprise (SME) leaders in Hajdú-Bihar County on digitalization, how they evaluate their employees' digital skills, what digital best practices they apply, and how familiar they are with current trends in digital best practices. In the literature review, we touch on the concepts and significance of digitalization and digital transformation, the characteristics and types of best practices, benchmarking as a tool for identifying them, and the steps involved in their implementation. We introduced five currently popular digital best practices: optical character recognition, homomorphic encryption, robotic process automation, intelligent process automation, and blockchain technology. The advantages and impact of these practices on corporate efficiency are highlighted. Based on the results, we reached the following conclusions: The findings show that most Hungarian companies view digitalization as an opportunity, but there are deficiencies in strategic planning and commitment. Although leaders theoretically support technological progress, 93% of companies do not have a developed digital strategy, and leaders also rate employee engagement as low. The resources allocated for digitalization investments are also low, with most companies spending only between 0-10 million HUF. The application of artificial intelligence (AI) technologies is still in its early stages, though there are positive examples. Dissatisfaction is evident regarding employees' digital competencies, particularly in problem-solving and data security. The lack of knowledge of modern digital technologies also hinders innovation. Companies' digital maturity is low, with most having only taken initial steps in this area. Often, the perceived digital intensity of the industry does not reflect reality, which can hinder development.
Enhancement of small-scale agricultural performance is undoubtedly one of the Tanzanian government’s initiatives toward an industrialized economy as stipulated in “Intergrated Industrial Development Strategy 2025”. The coordination of agricultural commodity exchange market operations with those of warehouse receipt system was aimed at improving the forward market linkages for agricultural products from small-scale farming. However, due to the growth of the sector, it became imperative to review the marketing structure in place to align with the new changes. This study was conducted to assess a need of upgrading the marketing structure for small scale agribusinesses by focusing on sunflower sub-sector. Primary data were collected from 399 sunflower farmers from Kondoa and Itigi district councils based on cross-sectional survey design. The gross margin analysis revealed that, smallholder farmers engaged in sunflower oil business earned 5.085 times more than those who just sell unprocessed seeds. The secondary data from Tanzania corporation development commission (TCDC), Tanzania mercantile exchange (TMX) and warehouse receipt regulatory board (WRRB) showed that, the current marketing structure did not support the trading of processed agricultural products. It was therefore recommended to upgrade that system in place to have a designated window for trading the value added agricultural products for improved performance.
One essential component of the competitive operation of the fishing industry is the availability of finance. Access to finance is an important issue, but women's access to finance is more critical than men's. The study's objective is to emphasize gendered experiences with financial need, access to and selection of financial services, and service providers among Liberian actors in the fish industry. The study collected and analyzed data using a cross-sectional design. The research used primary data collection methods. Workers in Liberia's artisanal fishing value chain, both men and women, were the main population of interest. Respondents were chosen for the study using a two-stage sampling technique. Purposive sample of counties and random sampling of respondents were the two components of the two-stage sampling strategy. For the study, 278 men and women fish actors were selected as respondents using the random sampling technique. This study employed quantitative methodologies for data collection. From the findings, access to financial products is generally limited for fish actors. Nonetheless, some financial services and products are exclusive to either gender. Commercial banks are more accessible to men than to women. Because of their low income and educational attainment, women have limited access to commercial banks.
Over the past decades, business schools' Masters in Entrepreneurship Development have become one of the most important venues for training future entrepreneurs worldwide. The concept of entrepreneurship and the role of the entrepreneur has been in a constant state of flux over the years, with a significant impact on the structure, methodology and objectives of training courses. Universities need to focus not only on providing traditional business skills but also on developing competences adapted to an increasingly changing economic and social environment.In this article, after reviewing the most important foreign and domestic literature on the topic, we examine the current situation of Master's programmes in business development in Hungary through qualitative research. We focus on the social and economic changes that have influenced the development of entrepreneurship education in recent years and on the trends that may shape the content and form of education in the coming period. The research will use in-depth interviews with programme leaders to find out what expectations different stakeholders - labour market actors, university leaders, students and external stakeholders - have of the Master's in Business Development. We will explore the entrepreneurial competences and effective educator roles that are seen as key today, as well as the main challenges that programme leaders of training courses are currently facing. Based on this, this paper aims to identify potential opportunities and directions for improvement in the teaching of Masters in Business Development, which can contribute to preparing students more effectively for the challenges of a dynamically changing economic environment.
Agricultural financing enhances food security, job creation, a transition from subsistence to commerce farming, and strengthens the overall economy. However, due to unfavorable weather and market conditions there is limited financing directed towards agriculture especially in developing countries. Despite smallholder farmers' high adoption rate of traditional risk management strategies to minimize these risks, little has been done to examine its moderating role on the relationship between agricultural risks and credit risks. Thus, this study examines the role of farm business risk management strategies on minimizing the influences of production and market risk on smallholder farmers loan repayment capacity. The quantitative study used pooled cross-sectional data from a Tanzanian commercial bank from 2019 to 2021, covering 1,277 smallholder farmers from different administrative regions. Using binary interaction effect logistic regression analysis model, the study's results indicate that irrigation, mechanization, and off-farm diversification significantly minimizes the effects of production and market risk amongst smallholder farmers in Tanzania, an indication that traditional risk management strategies are effective tools amongst smallholder farmers. On the contrary, on-farm diversification strengthens the influence of production and market risk on loan repayment amongst the smallholder farmers in Tanzania, the results that can be influenced by a number of factors, including poor diversification knowledge among smallholder farmers. In light of these findings, the study recommends that policy makers and other development partners to develop agricultural infrastructure and provide more extension agents that can educate smallholder farmers on the best practices on traditional risk management.
Divestitures post-acquisition are a common occurrence yet the jury is still out on whether they represent correction of prior mistakes or are a restructuring tool to improve performance in the hands of managers evaluating overall portfolio of assets. We take a sample of 1,344 deals buy Indian public listed buyers from 2000 to 2020 of which 13% were followed by a divestiture to create models to predict if an acquisition is likely to be followed by a divestiture or not using logistic regression and discriminant analysis. Our model is more than 75% accurate in its prediction even when tested on unselected data (new data for the model). We find support for portfolio theory and reject the correction of prior mistakes theory to explain post-acquisition divestitures. We support the theory that financial constraints leads to post acquisition divestiture. We also support the theory on indigestion that post acquisition divestitures are due to cookie-jar problem where buyers are finding it difficult to integrate. Increased volatility and poor mean stock price returns both contribute to conditions leading to such divestitures. The model constructed is useful for shareholders and other stakeholders to predict whether a divestiture will follow an acquisition or not. Managers can also use the model to predict eventual outcome of their acquisition decisions.
Small-scale sunflower oil processors dominate Tanzania’s sunflower value chain but face persistent performance challenges. This study examines how service value chain governance – defined by factors such as transaction complexity, service characteristics, technological capabilities, market transparency, market structure, and institutional frameworks – influences the capabilities and performance of small sunflower processing industries in Dodoma. Drawing on global value chain and transaction cost economics theories, we hypothesize that high transaction complexity and service intangibility negatively impact processors’ technological and human resource capabilities, while robust technological capacity and market transparency improve logistics and marketing performance. A cross-sectional survey of 275 sunflower oil processors in Dodoma was conducted, and six multiple regression models were used to test each specific hypothesis. Results show that all six governance factors significantly affect the processors’ operational capabilities in the expected directions. High transaction complexity and service heterogeneity are associated with lower technological competency and workforce efficiency, whereas greater technological capability and market transparency yield improved logistical coordination and market access. Fragmented market structures (many small suppliers) correlate with weaker financial performance, and a strong institutional framework is linked to better regulatory compliance. These findings highlight critical governance-related barriers and enablers for small agro-processors. We discuss practical and managerial implications for improving value chain integration – including investing in technology, training, and policy support – and outline theoretical contributions.
