Search Results (10)

The Brazilian craft beer market has experienced continuous growth, increasing operational challenges for small- and medium-sized breweries that frequently rely on empirical and spreadsheet-based production routines. These practices often lead to inefficient resource allocation, production instability, and sustainability concerns. This study proposes an integrated analytical framework combining Machine Learning (ML) and Operations Research (OR) to improve demand forecasting and production planning. The methodology is based on a synthetic dataset calibrated to the operational conditions of a Brasília-based craft brewery, incorporating realistic demand patterns such as seasonality, trend, and intermittency across multiple SKUs over an 18-month horizon. Forecasting models—including Moving Average, Single Exponential Smoothing, and a global ML-based proxy—were evaluated using rolling-origin validation. The resulting probabilistic forecasts were integrated into a capacity-constrained optimization model based on linear programming, extended with risk-aware decision-making using Conditional Value-at-Risk (CVaR). The results indicate that the ML-based approach achieved competitive forecasting performance (sMAPE = 5.83% and MAE = 11.76) while enabling the generation of capacity-feasible and risk-aware production plans aligned with service-level targets. The integration of probabilistic forecasts into the optimization model allowed explicit trade-offs between cost, service level, and resource utilization. The main contribution of this study lies in demonstrating how the integration of predictive and prescriptive analytics can support more sustainable production planning in resource-constrained manufacturing environments. By replacing ad hoc spreadsheet routines with a closed-loop decision-support system, the proposed framework advances the literature on data-driven PPC and provides practical guidance for SMEs operating under uncertainty. Full article

This study rethinks innovation diffusion in craft-based small and medium-sized enterprises (SMEs) by examining how cultural logics and collective governance shape selective digitalization. Drawing on a qualitative case of Ata handicraft SMEs in Bali, Indonesia, the study analyzes in-depth interviews with artisans through the lens of Innovation Diffusion Theory. The findings reveal that digital technologies are not rejected but adopted selectively, mediated by Balinese Hindu philosophies such as Tri Hita Karana, Tat Twam Asi, and Segilik Seguluk Selunglung Sebayantaka, which emphasize balance, relational ethics, and communal solidarity. Rather than pursuing efficiency-driven digital adoption, artisans prioritize collective control, cultural continuity, and equitable value distribution. Digital tools function primarily as complementary mechanisms—supporting coordination, documentation, and market interaction—rather than as transformative drivers of organizational change. This study contributes theoretically by extending Innovation Diffusion Theory beyond linear adoption models, demonstrating how culturally grounded governance structures recalibrate the meaning and trajectory of digital innovation. More broadly, it offers insights for inclusive innovation discourse by showing how collective institutions enable SMEs to engage with digitalization while safeguarding cultural integrity and social sustainability. Full article

Small and medium enterprises (SMEs) are critical actors in housing supply chains; however, they often struggle to adopt industrialized construction. High variability, limited infrastructure, and skill constraints can reduce repeatability and quality. This study shows that SMEs can start with targeted standardization of prefabricated wood panels. A panel library and coded kits support scalable production, repeatable quality, and a structured workflow for light timber framing. Evidence is provided by a Chilean industrial case study using a time-study campaign. The campaign quantified processing, setup, and internal movement times across a five-station manual layout. Results indicate that a standardized panel set for larger housing typologies stabilizes manual operations. Throughput improves only after key bottlenecks are addressed as staffing increases from 12 to 18 operators, enabling production above 200 homes per year. When two of eight activities are automated at Station 2 using CNC (fixing and cutting), annual capacity can approach 300 homes. Overall, the findings suggest a staged pathway for SMEs: standardize first, add selective automation once constraints are removed, and then integrate internal logistics to sustain the transition from craft-based to industrialized housing production. Full article

Digitalisation has evolved as a multidimensional phenomenon and impacts the business world. SMEs heavily invest in digital platform capabilities to keep track of digital transformation, enabling them to perform business model experimentation to generate and develop innovation. This paper explores the role of these two crucial growth-promoting variables in the performance of art and craft-based firm’s performance. Through this paper, the researchers contest the argument that, although digital platform capabilities accelerate business model experimentation for firm performance, competitive advantage plays a significant mediating role. Along with these arguments, this study also explores the role of digital platform capability in business model experimentation. It examines the mediating role of business model experimentation in the forming of a competitive advantage. The research model under examination belongs to the explorative school of research; hence, the researchers have used partial least square–structural equation modelling (PLS-SEM) on a sample of 211 Indian firms belonging to the category of art and craft-based businesses. The hypothesis testing results facilitate exciting insights about the direct and indirect effects of digital platform capabilities, business model experimentation, and competitive advantage on firm performance. In light of the research findings, policymakers, SME consultants, and managers may obtain practical insights in order to develop an intervention mechanism. Researchers working in this area will glean a fresh look at the antecedents of SME performance as this model is explorative; future research may explore the testing of the model in different geographic locations and industry contexts. Full article

This study examines the influence of leaders’ artificial intelligence symbolization on job-crafting behaviors, highlighting both positive and negative consequences in Chinese small and medium-sized firms. This research utilizes signaling theory to investigate the impact of leaders’ visible adoption of AI on employees’ readiness for change, perceived threats, and job-crafting behaviors. This study examines the moderating influence of organizational support to understand its amplifying and decreasing effects. This work utilizes Python-based statistical tools to provide a novel approach for evaluating behavioral data in social science research. The results reveal that leaders’ AI symbolization significantly improves employees’ readiness for change and promotes proactive job crafting. Conversely, symbolic actions may exacerbate perceived risks, adversely affecting job-crafting behaviors. Organizational support is essential to enhancing the beneficial impacts of AI symbolization on change readiness while alleviating its adverse consequences on perceived threats. These results show how crucial symbolic leadership is for getting people to use new technology and making staff more flexible in SMEs that use AI. By offering organizational training and resources, leaders may optimize favorable results and mitigate adverse effects. This study highlights its significance regarding change readiness, perceived threats, and job crafting. Furthermore, it underscores Python’s (3.9) potential as a groundbreaking tool for enhancing behavioral research in the age of AI. Full article

Small enterprises are essential in supporting economic growth, particularly in emerging countries. Due to their constrained resources and capacities, many small businesses in developing nations encounter intricate obstacles when trying to enter the global market rapidly. The study is intended to develop a theoretical framework that can reveal the essential and integrated resources, and capabilities in the internationalization process. Instead of literature investigations, multiple case studies were adopted to explore the process of achieving the international success of Indonesia’s export-oriented small enterprises. In-depth interviews with twelve small enterprises across the culinary, fashion, and craft sectors were conducted to collect qualitative data. A content analysis followed the input–process–output–outcome structure as the basis for developing the robust framework. Based on the Resource-Based View (RBV), this study reveals the synergistic role of production, networks, marketing, learning, and legal capabilities in creating competitive advantages that support business continuity and sustainability. Research findings reveal that successful internationalization is not achieved by a single capability but through an integrated bundle of capabilities that can serve market needs. This study contributes to the literature by offering a comprehensive framework that maps the input–process–output–outcome structure of the internationalization process and offers practical insights for policymakers and practitioners aiming to enhance SME competitiveness. The results underscore the importance of capability development and government support in facilitating SME global expansion. Ultimately, this study provides a basis for further investigation into the dynamic capabilities that SMEs need to thrive in international markets. Full article

The southeast Asian new immigrants face significant barriers in employment due to language and cultural differences, making it challenging for them to find jobs. Consequently, many southeast Asian immigrants have turned to entrepreneurship as a means to achieve economic independence and contribute to their family’s income. This study adopts entrepreneurial marketing (EM) as a theoretical lens and utilizes a process research methodology, based on sequentially ordered events, to explore the entrepreneurial journey of immigrant micro and small to medium-sized enterprises (SMEs). Employing purposive sampling, twenty-two southeast Asian immigrant entrepreneurs were selected for in-depth interviews to ensure data quality through multiple data collection methods. The research developed a dynamic adjustment model and management mechanisms for the entrepreneurial marketing of immigrant micro and SMEs. These findings not only bridge theoretical gaps in immigrant entrepreneurship strategy but also deepen the academic understanding of the dynamism in entrepreneurial marketing. Practically, the outcomes assist immigrant micro and small business entrepreneurs in developing operational strategies and serve as a reference for governmental units in crafting immigrant policies. Full article

In an increasingly competitive landscape, both researchers and businesses are showing growing interest in promoting employee’s innovative work behavior (EIWB). Although earlier studies have highlighted the significance of transformational leadership (TL) in cultivating innovation among employees, there needs to be more understanding regarding the precise mechanisms and processes by which leaders exert their influence over the IWB of their employees. This study is based on the social exchange theory (SET) and upper echelon theory (UET) to investigate how the relationship between TL and employees’ IWB is mediated by the employees’ intellectual agility (EIA) and the employee’s voice (EV). To the best of researchers’ knowledge, this study represents the pioneering effort to examine the mediating mechanisms of EIA and EV between TL and EIWB within the specific context of small and medium Enterprises (SMEs) in a developing country. An online self-administered questionnaire was utilized to collect data from 430 SMEs in Pakistan. The proposed hypotheses were examined using partial least squares structural equation modeling (PLS-SEM). The study findings revealed a significant influence of TL on EIWB mediated by both their EIA and EV. These findings empower leaders to recognize their pivotal roles in nurturing innovation within their enterprises and crafting an optimal culture and climate conducive to innovative endeavors. Furthermore, this insight enables leaders to establish innovative environments that promote employees’ confident sharing of ideas and concepts. The study also includes a comprehensive finding and their implications, limitations, and suggestions for future research directions. Full article

One of the main objectives of rural development programs is the economic diversification of rural areas. In the context of the European Union, the application of the Leader Initiative (referred to today as the Leader Approach) is perhaps the best example of this type of policy. Based on the case study methodology, the objective of this work is to analyze the viability of the projects promoted by this type of program. A long-term scenario is taken as a reference, and this is precisely one of the main methodological innovations of this research in relation to most of the analyses focused on the impacts of rural development programs. The results of the research show (a) an orientation of the development strategy towards the promotion of rural tourism and (b) differences in the survival of the projects according to the type of productive measure under which they have been implemented: agricultural valorization and marketing projects offer better results than those promoting rural tourism or the promotion of SMEs and crafts and services. These results call into question the notable concentration of investment in projects aimed at creating tourist accommodation. Full article

This article seeks to contribute to the literature on circular business model innovation in fashion retail. Our research question is which ‘model’—or combination of models—would be ideal as a business case crafting multiple value creation in small fashion retail. We focus on a qualitative, single in-depth case study—pop-up store KLEER—that we operated for a duration of three months in the Autumn of 2020. The shop served as a ‘testlab’ for action research to experiment with different business models around buying, swapping, and borrowing second-hand clothing. Adopting the Business Model Template (BMT) as a conceptual lens, we undertook a sensory ethnography which led to disclose three key strategies for circular business model innovation in fashion retail: Fashion-as-a-Service (F-a-a-S) instead of Product-as-a-Service (P-a-a-S) (1), Place-based value proposition (2) and Community as co-creator (3). Drawing on these findings, we reflect on ethnography in the context of a real pop-up store as methodological approach for business model experimentation. As a practical implication, we propose a tailor-made BMT for sustainable SME fashion retailers. Full article