Search Results (531)

The rapidly evolving business landscape, driven by stringent energy conservation policies, compels construction firms to adopt energy-efficient project-centric structures, particularly in modern construction projects. These firms face a complex, multi-mode, resource-constrained, multi-project scheduling problem characterized by dynamic project arrivals and multiple resource constraints, including global, local, and non-renewable capacities. This environment pressures managers to simultaneously optimize the conflicting objectives of minimizing total project duration and total energy consumption. To address this challenge, we propose a novel multi-objective Smart Raccoon Family Optimization (SRFO) algorithm. The SRFO, a hybrid evolutionary approach, is designed to enhance global exploration and local exploitation. Its performance is boosted by integrating a non-dominated sorting mechanism, a dedicated energy-efficient search strategy, and enhanced genetic operators. The SRFO simultaneously optimizes two conflicting objectives: minimizing the total project duration and total energy consumption. This approach effectively integrates the unique constraint of off-site component production and on-site assembly within an intelligent scheduling framework. Empirical validation across benchmark problems and a real-world case study is conducted, comparing the SRFO with existing multi-objective approaches, such as NSGA-III, MOABC, and MOSMO. Performance is assessed using convergence and distribution metrics, augmented by TOPSIS-based multi-criteria decision-making. Results conclusively demonstrate that the proposed SRFO significantly outperforms existing approaches and offers a robust, high-quality solution for project management in energy-constrained environments. Full article

The aim of this research is to elaborate on the activities of non-formal experiential learning in agritourism developed by an organic family farm in Thessaloniki, Greece. Based on a qualitative approach, in-depth interviews with the owners of the farm and a Business Model Canvas (BMC) approach to this case study, the results indicate that workshops, seminars on nutrition, environmental conservation activities, plant identification, hands-on activities for children and cooking lessons with chefs are some of the non-formal learning tools. The aforementioned activities, on the one hand, raise gate sales for the family and, on the other hand, promote knowledge and awareness towards the contemporary environmental challenges that the rural areas and our food chain are facing. Future development strategies were also identified through the BMC, such as the adoption of digital educational tools, and ‘Do It Yourself’ kits for growing microgreens at home, while the need for official certification and support of multifunctional farms by the Ministry of Rural Development was also highlighted. Full article

This research examines the impact of five crucial factors underlying human resource management (HRM), namely, compensation, transformational leadership, motivation, and job satisfaction on sustainable employees’ performance in Lebanese family companies. The research is founded on Social Exchange Theory, Maslow’s Hierarchy of Needs, and Transformational Leadership Theory. Based on a cross-sectional design and quantitative approach, data were collected from 511 full-time employees working for family-owned businesses in Lebanon via structured questionnaires. Structural equation modeling (SEM) using SmartPLS-4 was used to analyze the relationships among the variables. The results point out that job satisfaction, motivation, and the transformational leadership style meaningfully impact employees’ performance. Compensation had a slight yet statistically significant effect. Furthermore, the work environment was found to have both a direct influence on performance and a moderating effect on the relationships between job satisfaction, transformational leadership style, and employees’ outcomes. These outcomes provide theoretical contributions to the literature on HRM in family-owned enterprises and deliver practical insights for improving employees’ performance through targeted HR strategies in emerging economies. The present study concludes by highlighting the role of a supportive environment at work and participative leadership in enhancing performance outcomes, mostly in culturally complex and intergenerational business settings. Full article

This study analyzes the relationship between family control and the internationalization of family firms in Mexico. Grounded in the resource-based view and socioemotional wealth theory, it addresses the theoretical problem of how familiness and governance mechanisms influence strategic decisions in emerging markets. Based on 326 observations of family businesses (51) listed on the Mexican Stock Exchange (BMV) from 2009 to 2016, and using a probit regression model, five hypotheses are tested regarding the effects of family directors, board independence, CEO duality, tenure, and ownership concentration on internationalization. The results show that board independence and chair tenure foster internationalization, while ownership concentration and family directors discourage it. The findings contribute to understanding the need for governance reforms that promote more independence and leadership stability to foment internationalization strategies among family businesses in emerging markets. Full article

The purpose of the study is to investigate the gap between entrepreneurial intention and entrepreneurial action among business administration students with the aim of understanding why many who develop entrepreneurial intentions do not ultimately take action. A quantitative methodology was adopted from a sample of students who took entrepreneurship courses at different stages of their studies, allowing for the mapping of changes in entrepreneurial intention over time. Findings show that although entrepreneurship education initially strengthens intention, it declines after course completion, mainly due to external constraints, perceived risk, lack of support, and differences in students’ personal backgrounds. This research confirms the existence of a significant “intention-action gap” and highlights determining factors such as self-confidence, family support, and entrepreneurial culture. The value of this study lies in its combined and quasi-longitudinal approach, which offers new insights into the conversion of intention into action and contributes to the development of educational and policy strategies to enhance student entrepreneurship. Full article

This study investigates the role of family involvement and succession planning in shaping the long-term sustainability of family businesses in Indonesia, with a specific focus on the mediating effect of transgenerational entrepreneurial orientation (TEO). This research responds to calls for integrative models that move beyond examining these factors in isolation. Indonesia offers a unique context due to its dominance of family-controlled firms and informal succession traditions, which shape entrepreneurial value transmission across generations. A quantitative approach was employed using survey data from 210 respondents representing active family businesses in Indonesia. Partial least squares structural equation modeling (PLS-SEM) with SmartPLS 4.0 was used to test reliability, validity, and structural relationships. Additional analyses included HTMT for discriminant validity, CVPAT for predictive relevance, and importance–performance map analysis (IPMA) to identify managerial priorities. The results reveal that family involvement and succession planning both exert significant positive effects on long-term family business sustainability, with TEO playing a mediating role. Family involvement strongly enhances both sustainability and entrepreneurial orientation, while succession planning contributes more indirectly through the development of TEO. The IPMA indicates that family leadership in governance and openness to innovation are highly important but underperforming drivers, suggesting key areas for improvement. The model explains 51.9% of the variance in TEO and 48.6% in long-term sustainability, with significant mediation paths (β = 0.092–0.104, p < 0.05). The cross-sectional design limits causal inference, and the focus on Indonesian firms may constrain generalizability to other cultural contexts. Future research could adopt longitudinal and cross-country comparative designs while also examining the role of digital transformation and generational differences in sustaining family firms. The findings highlight the need for Indonesian family firms to professionalize succession planning while strengthening transgenerational entrepreneurial orientation. Practical steps include formal mentoring, clear successor criteria, and embedding innovation and proactiveness in family governance. This study extends the family business literature by conceptualizing TEO as a dynamic capability that bridges family involvement, succession planning, and sustainability. By integrating these perspectives, it offers a more comprehensive understanding of how family firms can achieve resilience and continuity across generations. Full article

The use of full-battery electric vehicles is an essential strategy for reducing greenhouse gas emissions and mitigating climate change. This study examined the transition to full-battery electric vehicles by conducting a cross-sectional household survey in 2023 that collected information on vehicle preferences, evaluations, purchase intentions, environmental attitudes, and socioeconomic and demographic characteristics. The results show that among households using a vehicle as their primary mode of transportation, approximately 89% relied on fossil fuel vehicles, whereas only 6% used electric vehicles. The study further finds that acceptance of vehicles during inter-vehicle transitions is closely linked to energy type: households currently owning fossil fuel vehicles exhibited a high likelihood of repurchasing a fossil fuel vehicle, while electric vehicle owners were more inclined to choose another electric vehicle across cities and areas of different sizes. Households that own electric vehicles tend to report higher levels of well-being compared with those that own fossil fuel vehicles. In addition, sufficient charging infrastructure, stronger knowledge of environmental issues, participation in altruistic donation activities, and cooperative behavior positively influenced electric vehicle adoption. These findings suggest several policy implications, including the expansion of charging stations for business and public use, setting reasonable vehicle prices, improving charging speed, developing electric vehicles suitable for large families, and encouraging individuals to gain initial driving experience with electric vehicles to promote adoption. Full article

Background/Objectives: Modern families face challenges in maintaining healthy and sustainable diets due to time constraints and busy lifestyles. The Mediterranean diet (MD), known for its benefits to both personal health and environmental sustainability, is often difficult to apply consistently within households. This paper presents and validates the SWITCHtoHEALTHY AI-based Family Nutrition Recommendation System, designed to generate meal plans aligned with MD guidelines. Methods: Two complementary recommendation engines were developed: the AI-based Family Nutritional Recommender, which creates personalized meal plans for adults that include shared family meals, and the Child Nutritional Recommender, which generates meal plans for children that could also incorporate school menus or proposals from the school cafeteria. Both systems rely on an expert-validated dataset of Mediterranean foods and are designed to comply with the expert-validated nutritional rules based on MD principals and national dietary guidelines. Results: The recommendation systems were validated using data from a real-world family intervention, achieving 90% accuracy in generating meal plans for all family members, while meeting the expert validated dietary rules for both adults and children. Moreover, AI-based Family Nutritional Recommender exceeds 90% accuracy in estimating calorie and nutrient content for adults. Conclusions: The results demonstrate the preliminary potential of AI-based recommendation systems to facilitate healthier and more sustainable dietary habits within modern households by generating personalized, nutritionally balanced family meal plans consistent with MD principles. Full article

Family businesses play a central role in the ongoing growth and development of the Vietnamese economy. Economic, social, and demographic changes are undermining the transition of family business to succeeding generations. This study examines the challenges of intergenerational succession in Vietnamese family businesses through the lens of social capital theory. The article examines how the next generation of family business leaders in Vietnam is addressing social capital deficiencies that hinder effective business transition. The study employed a constructionist ontology and an interpretivist epistemology, utilising semi-structured interviews with family business owners and managers. The research draws from participants’ perceptions of social, political, and competitive contexts and the subsequent behaviour that is predicated by those contexts. Findings: Economic transformation, driven by disruptions to the business environment through central planning, coupled with demographic shifts and changes in educational attainment, has impacted family structures, complicating intergenerational business transfers. This is compounded by social transformation weakening familial relationships and connections critical to family cooperation and business continuity. The preservation and renewal of social capital are critical issues for succession planning in Vietnamese family businesses. This research addresses gaps in understanding the interplay between the generational divide, social capital, and family business succession in Vietnam. Full article

This study examines the adoption of artificial intelligence (AI) among micro and small hospitality enterprises in Slovenia, a small EU economy where digital transformation remains limited. It explores how organisational characteristics and managers’ attitudes toward AI are related to its adoption and firms’ operating revenues. Data were collected from 286 accommodation and food-and-beverage enterprises through a structured questionnaire completed by managers or owner–managers, complemented by secondary official financial data. Using ordinary least squares regression, the analysis examined associations among organisational characteristics, managerial attitudes, AI use intention and adoption, and financial performance. The results indicate that firm size and structural features alone are not closely linked to digital transformation. AI adoption shows stronger associations with managers’ positive attitudes and with factors such as non-family ownership and smaller firm size. The overall General Attitudes toward AI Scale (GAAIS) score showed no direct relationship with revenue, but two specific items—enthusiasm for AI and recognition of business opportunities—were positively associated with higher revenues. Among AI tools, only smart text editors and CRM systems were statistically associated with revenues, suggesting that better-performing firms are more likely to use simpler, more affordable technologies. The study provides contextual evidence on behavioural and organisational dimensions of AI adoption in resource-constrained hospitality SMEs. Full article

In transforming emerging economies, the historical origins of family firms can be traced either to the restructuring of SOEs or to direct establishment. Drawing on imprinting theory and intergenerational family governance, this study investigates how restructuring imprints shape green innovation in family firms and under what conditions these effects vary. Based on data from Chinese A-share listed family firms (2007–2022), we find that restructuring imprints—manifested in risk aversion and path dependence—persist long after privatization. Consequently, restructured family firms demonstrate significantly weaker green innovation performance than entrepreneurial family firms. This negative effect is reinforced by founder control but mitigated by second-generation involvement. Overall, this study identifies a critical source of heterogeneity among family firms and contributes to the literature on green innovation within family business research. Full article

South Korea has become one of the most important economies in Asia. The largest Korean multinational firms are affiliated with influential family-owned business groups known as the chaebol. Despite the surging academic popularity of the chaebol, there is a considerable knowledge gap in the bibliometric analysis of business groups in Korea. In an attempt to fill this gap, the article aims to provide a systematic review of the chaebol and the role that business groups have played in the economy of Korea. Three distinct bibliometric networks are analyzed, namely the scientific collaboration network, bibliographic coupling network, and keyword co-occurrence network. Full article

This study examines how parental leadership, entrepreneurial self-efficacy, and entrepreneurial resilience—viewed through social capital theory—shape intentions around family business succession in Saudi Arabia. It also investigates the moderating role of the presence of older siblings, exploring how family dynamics affect the transfer of social capital and the likelihood of succession. This research employs structural equation modeling to analyze data from 522 respondents in Saudi Arabia. Entrepreneurial self-efficacy emerges as a key factor in shaping intentions around family business succession, highlighting the importance of psychological resources in this process. The moderating analysis shows that the presence of older siblings weakens the impact of parental guidance and entrepreneurial traits on intentions around family business succession, possibly due to competition among siblings for leadership roles in the family firm. These findings underscore the need for family businesses to strategically manage the distribution of social capital, especially in households with multiple siblings. Initiatives that enhance entrepreneurial self-efficacy and resilience can improve preparedness for succession. Moreover, addressing sibling rivalry through structured succession planning and conflict resolution mechanisms is essential for maintaining business continuity in the Saudi context. Based on social capital theory, this research offers a new perspective on how a family’s resources, networks, and relationships influence intentions around family business succession. Emphasizing the moderating role of sibling dynamics provides useful insights into managing family business transitions in Saudi Arabia, where family ties and social capital are vital. Full article

This review surveys how contemporary machine learning is reshaping financial and economic forecasting across markets, macroeconomics, and corporate planning. We synthesize evidence on model families, such as regularized linear methods, tree ensembles, and deep neural architecture, and explain their optimization (with gradient-based training) and design choices (activation and loss functions). Across tasks, Random Forest and gradient-boosted trees emerge as robust baselines, offering strong out-of-sample accuracy and interpretable variable importance. For sequential signals, recurrent models, especially LSTM ensembles, consistently improve directional classification and volatility-aware predictions, while transformer-style attention is a promising direction for longer contexts. Practical performance hinges on aligning losses with business objectives (for example cross-entropy vs. RMSE/MAE), handling class imbalance, and avoiding data leakage through rigorous cross-validation. In high-dimensional settings, regularization (such as ridge/lasso/elastic-net) stabilizes estimation and enhances generalization. We compile task-specific feature sets for macro indicators, market microstructure, and firm-level data, and distill implementation guidance covering hyperparameter search, evaluation metrics, and reproducibility. We conclude in open challenges (accuracy–interpretability trade-off, limited causal insight) and outline a research agenda combining econometrics with representation learning and data-centric evaluation. Full article

Small businesses, particularly micro-entrepreneurships, are a vital economic engine in many developing nations, providing essential income and employment. This study analyzes the post-shock trajectory of Chilean micro-enterprises through the lens of the digitalization–formality trade-off during and after the pandemic. During the crisis, micro-enterprises relied on a short-run substitution mechanism: those with greater capital and intensive Internet use saw a notable increase in sales, demonstrating that digital channels were effectively substituting for the growth benefits typically conferred by formal status. Interestingly, formal business registration or permits did not directly translate into higher sales during this period. Looking at the medium-run pattern, the initial surge in necessity-driven businesses was followed by renewed incentives for opportunity-seeking entrepreneurs as the economy recovered. However, the crisis created a lasting disincentive: both men and women were less likely to formalize their businesses after the pandemic, indicating that the high cost or low benefit of formality persisted, further entrenching the reliance on informal, digitally enabled operations. Full article