Businesses

Design thinking is an innovative methodology that may be applied by small and medium enterprises which emphasizes a human-centered approach to problem-solving, facilitating the creation of novel solutions for complex and open-ended challenges like the development of new products. Despite its recognized importance in business and academia, many industrial SMEs struggle with applying design thinking in their product development processes. This research aims to identify the central characteristics of design thinking and its critical success factors to enable effective application by industrial SMEs. Based on a systematic search in the Scopus database (last searched 14 May 2024) for the relevant literature, which resulted in a selection of 30 published papers, with titles and/or abstract fields containing words of design thinking and small- and medium-sized enterprises in industrial sectors, and a bibliometric analysis of co-word occurrence using VOS Viewer (1.6.20 version), we construct a framework that identifies central characteristics, design thinking principles, criteria, phases, and tools, as well as four dimensions of critical success factors: strategy, culture, competences, and implementation. This finding is new as it applies to industrial SMEs, as compared to extant research’s more general orientation. The framework is presented in visual form to facilitate use in developmental workshops with SMEs and supporting actors. This paper ends with notes on limitations and proposals for further research. Full article

The purpose of this research is to explore the fitting models for cross-border e-commerce by developing localized business strategies tailored to cultural factors. The study adopts Hofstede’s five cultural dimensions along with Sheth et al.’s five consumption value dimensions. A canonical correlation analysis is employed to identify the fitting relationships between cultural dimensions and consumer values. The targeting samples focus on the rapidly growing Southeast Asian economy. The results indicate differences in cultural dimensions among countries like Taiwan, Vietnam, Malaysia, Indonesia, and Myanmar. The canonical correlation analysis reveals fitting combinations for each region: Taiwan’s higher individualism, masculinity, and long-term orientation align with demands for functional, conditional, and emotional values in e-commerce. Vietnam’s high risk-taking propensity fits demands for conditional and epistemic values. Malaysia and Indonesia, with similar cultural profiles, are highly correlated with consumer demands in functional and emotional values, with Malaysia additionally emphasizing epistemic value. Myanmar’s high masculinity and long-term orientation correlate with demands for functional, emotional, and conditional values, while its low power distance links to demands for social and epistemic values. Overall, the study shows that there is no fixed correspondence between cultural dimensions and consumption values in e-commerce. Optimal configurations vary, emphasizing the importance of tailored strategies to promote e-commerce development across different regions. Full article

Technology has become crucial for businesses of all scales, enhancing operational efficiency, customer experience, and overall performance. While many formal businesses have embraced technology, small and informal businesses, particularly in rural areas, often struggle with adoption due to resource constraints. This study examines the impact of technological capability (TC) on the performance of informal food service operators (IFO) in southwestern Nigeria. This study employed a quantitative approach whereby a closed-ended questionnaire was administered to 180 IFOs across different LGAs in Oyo State to elicit information about the effect of their activities on performance indicators. The response rate was 93.8%. Data was analyzed using a binary logistic regression model. Findings revealed that the innovation capability (β—1.657; p—0.003*) and production capability (β—3.276; p—0.009*) of the IFOs significantly influenced their sales turnover and profit level is influenced by innovation capability (β—1.657; p—0.013*), investment capability (β—2.013; p—0.004*) and linkage capability (β—2.716; p—0.003*) within the study area. The study recommends that there should be strong linkages between the operators and technology-providing organisations to enhance their innovation capability. Full article

In response to the rapid advancement in smart technology and the 2019–2020 pandemic, the hospitality industry has accelerated its adoption of innovative technologies. However, new technologies are often disruptive and may not be aligned with the organization’s strategy, technological expertise, and employee and customer expectations. This negatively affects the perceived value of the new technology and its adoption and continuous use. The review of the relevant research presented in this paper indicates that despite the many potential points of intersection between technology acceptance and adoption theories and studies of entrepreneurship and change management, these connections have not been explored in sufficient depth in the hospitality context. Drawing on extant theories, this study proposes a novel conceptual framework for the management of technology adoption in hotel organizations. The four stages of the framework represent the process of technology adoption from initiation to institutionalization to new challenges, connecting the theoretical constructs with the tangible needs of the hotel organizations. The framework considers technology adoption as a process of change that involves capability and leadership building. It shows how managing technology adoption through an integrated change management and digital capability-building perspective can lead to sustainable digital innovation. Practitioners can use the framework to systematically evaluate the potential of new and emerging technologies and develop the required digital competencies while managing organizational culture shifts and user resistance to change. Full article

The rising commitment to entrepreneurial learning, both in academic and industry settings, has prompted the development of new mechanisms and methodologies. In recent years, the literature on entrepreneurship has progressively focused on the problem-based learning (PBL) methodology, particularly in response to evolving challenges within the learning environment. This paper presents a systematic bibliographic literature review (SBLR) on the application of PBL across various entrepreneurial processes in higher education and industry. This review aimed to identify significant entrepreneurial opportunities for PBL. A comprehensive search of bibliographic databases was conducted for documents published between 2002 and May 2024, resulting in the identification of 142 empirical and non-empirical papers related to PBL in entrepreneurship. The data analysis uncovered a range of subthemes regarding the use of PBL in entrepreneurship, highlighting its applications in both higher education institutions and industry. This study was guided by the research question: “What is the relationship between problem-based learning methodology and entrepreneurship?”. This research’s central and novel contribution lies in identifying diverse applications of PBL to address the various challenges that emerge within different entrepreneurial contexts. This paper also suggests future research directions. Full article

In the context of sustaining innovation, small and medium enterprises (SMEs) strive to enhance their market position through product improvements. However, globalization and rapid technological advancements pose significant challenges, urging SMEs to integrate innovative capabilities into their business models. Effective SME business model innovation, fueled by customer insights, process efficiency, and technology application, can promote development and unlock additional value-creation resources. Despite this, SMEs encounter difficulties in capitalizing on disruptive innovation due to the competitive, technology-driven, and volatile global market. This study aimed to define a comprehensive conceptual model of disruptive innovation specifically tailored for SMEs. Through an automated content analysis of relevant literature, 13 themes and 82 concepts were identified and categorized into four strategic alignment domains. These domains provide a framework for operationalizing the findings and constructing a conceptual model of disruptive innovation. Utilizing this conceptual model as a checklist can assist SMEs in turning disruption into opportunity, thereby supporting their adaptation and growth in an increasingly competitive landscape. Full article

Entrepreneurship has gained significant relevance in contemporary societies due to its role in generating economic and social value, including job creation, new businesses, and technological and social innovations. Scientific interest in entrepreneurship, which dates back to the 17th century, has increased since the 1990s. This field of study has evolved to encompass not only strict business creation but also impactful social initiatives. This article explores the intersection of academic and social entrepreneurship, examining factors to understand impactful initiatives through the seminal ideas presented by Joseph Schumpeter. The text offers insights and recommendations for advancing the transdisciplinary study of academic social entrepreneurship starting from an Economic Sociology perspective. Full article

With global leadership as the new norm, discussion about followers’ preferred leader behaviors across cultures is growing in significance. This study proposes a comprehensive predictive model to explore significant preferred leadership factors, drawn from the Leader Behavior Description Questionnaire (LBDQXII), across cultures using automated machine learning (AML). We offer a robust empirical measurement of culturally contingent leader behavior and entrepreneurship behaviors and provide a tool for assessing the cultural predictors of preferred leader behavior to minimize predictive errors, explore patterns in the data and make predictions in an empirically robust way. Hence, our approach fills a gap in the literature relating to applications of AML in leadership studies and contributes a novel empirical method to better predict leadership preferences. Cultural indicators from Global Leadership and Organizational Behavior (GLOBE) predict the likelihood of the preferred leader behaviors of “Role Assumption”, “Production Emphasis” and “Initiation of Structure”. Hofstede’s Long-Term/Short-Term Orientation is the most critical predictor of preferences for “Tolerance of Uncertainty” and “Initiation of Structure”, whereas the value of restraint impacts the likelihood of preferring leaders with skills in “Integration” and “Consideration”. Significant entrepreneurial values indicators have a significant impact on preferences for leaders focused on “Initiation of Structure”, “Production Emphasis” and “Predictive Accuracy”. Findings also support earlier studies that reveal age and gender significantly impact our preferences for specific leader behaviors. We discuss and offer conclusions to support our findings that foster development of global business managers and practitioners. Full article

Big Data (BD) has emerged as a pivotal tool for small and medium-sized enterprises (SMEs), offering substantial benefits in enhancing business performance and growth. This review investigates the impact of BD on SMEs, specifically focusing on business improvement, economic performance, and revenue growth. The objective of this systematic review is to evaluate the drivers and barriers of BD adoption in SMEs and assess its overall impact on operational efficiency and business outcomes. A comprehensive systematic review of 93 research papers published between 2014 and 2024 was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework. The methodology included detailed analysis of research approaches, addressing biases and gaps in the literature. BD adoption in SMEs led to significant improvements in operational efficiency, revenue generation, and competitiveness. However, the studies reveal persistent challenges, such as limited financial resources and technical expertise. The review identified a reporting bias, with 47% of studies using quantitative methods, 28% employing case studies, and mixed-method and qualitative studies underrepresented (22% and 17%, respectively). This imbalance highlights a potential overreliance on quantitative approaches, which may limit the depth of insights gained. While BD offers considerable potential for driving innovation and enhancing competitiveness in SMEs, addressing the current methodological biases and resource-related barriers is crucial to fully harness its benefits. Future research should focus on diverse approaches to provide a holistic understanding of BD’s impact on SMEs. Full article

Social norms can affect food consumption. Although social media could be used to disseminate such norms, there is limited experimental research on the subject. The purpose of the study was to examine the effects of socially endorsed social media food posts, in the form of Instagram likes, on participants’ eating behavior of wheat food products. The survey was conducted in sensory booths where 149 participants were assigned to one of three conditions viewing three types of images: traditional Greek foods, modern foods, and home decoration as control. However, only one type was socially endorsed with likes. Participants self-reported on a series of questionnaires and were offered traditional Greek rusks (paximathia) and modern crackers as a snack reward during break time on two separate dishes. The hypothesis was that those who had paid attention to socially endorsed images of traditional foods would prefer to consumer Greek rusks, whereas those having paid attention to socially endorsed modern foods would opt for the crackers. Using the ANCOVA model, there was not identified any significant effect of condition on rusk or cracker consumption in grams after controlling the covariates. The results propose that exposure to socially endorsed images with Instagram likes, as a form of social media norm, do not incite people to consume more of either traditional rusks or modern crackers. Full article

The coronavirus crisis hit both the world and national economies hard. By using a structural equation modelling (SEM) approach and microlevel data from the Community Innovation Survey (CIS2020) on a representative sample of 6437 Norwegian firms comprising a set of COVID-19-related questions, this paper explores the role of firms’ innovation capabilities and strategic agility in times of crises. Our main hypothesis is that these two concepts are interrelated. More specifically, this paper investigates the ‘push’ and ‘pull’-mechanisms of the pandemic on firms’ innovation strategies, as well as which firms were most agile, adapted quickly, introduced innovation due to the COVID-19 crisis rapidly and became more effective with respect to their pre-crisis innovation capabilities. The results indicate that both mechanisms were active during the coronavirus crisis, and most of the firms carried out strategic reactions and changed their business operations on along-term basis. However, the results for innovation output and efficiency improvements vary significantly. “Process developers”, “active R&D doers” and “radical innovators” (the firms that are persistent innovators with the highest score on performing in-house R&D continuously and on innovating in the pre-crisis period) are found to be most agile during the pandemic. They had both introduced innovation and improved their efficiency in quick response to COVID-19. However, firms with low innovation capabilities demonstrated poorer performance during the crisis. These results imply that pre-existing innovation capabilities are important for firms’ strategic flexibility during crises and their ability to respond to changes quickly and efficiently. Full article

The escalation of climate-induced disasters underscores how climatic variability has become a main question in designing risk-sensitive policies in advanced and developing countries. The macroeconomic implications of Natural Hazards (NHs) are extremely significant, as they can compromise financial stability and long-term prosperity. To mitigate risks and close the knowledge, protection, and development gaps can free resources, speeding up reconstruction of infrastructure, recovering from disruption of supply chains, and returning to pre-disaster levels of activities. This is not a simple task involving different steps of a “ladder approach”, sharing the burden of cost and responsibilities across the relevant stakeholders and reducing moral hazard. This approach rests on Public–Private Partnerships (PPPs) and technological R&D public investments able to crowd private ones in and establish useful Public–Private Insurance Schemes enhancing the disaster risk management role of the state. This paper proposes leveraging innovation technology both to enhance risk assessment and reduce uncertainty for climate-related NHs such as landslides. It is an important interdisciplinary question; in fact, despite the unequivocal acknowledgment of the global warming system, the precise ramifications of global warming and associated climatic shifts on NHs like landslides remain still elusive. The advanced modeling technique implemented by our interdisciplinary PPP contributes to geographically circumscribe the areas eventually subjected to landslides and constantly monitor the vulnerability of their structures, infrastructures, economic activities, and hence population. The reliable data that we can produce through remote sensing acquisition systems are necessary inputs to contain risk exposure both physically and financially. Full article

We used three different databases that cover different years from 2006 through 2023 that provide different insights into the associations of firm features with their E, S, and G scores, as well as the composite ESG score. We find that large market capitalization firms are associated with higher ESG and environmental scores as well as with ESG-related strengths. These associations likely stem from the increased scrutiny and expectations from investors, regulators, and the public for large-cap firms. However, we find that changes in ESG scores have no significant associations with changes in basic firm characteristics—market cap, growth options, or profitability. That is, changes in ESG scores over time do not seem to significantly enhance or alter these basic features of a firm. Full article

Olive oil, a staple of the Mediterranean diet, encounters substantial commercial obstacles in Spain and other olive oil-producing nations. Historically, these obstacles have been examined from a consumer demand standpoint, focusing on aspects such as quality enhancement, pricing issues, and consumer awareness deficiencies. This study shifts the focus to the supply-side perspective, providing novel insights into the factors affecting the marketing and sale of olive oil. To investigate these factors, a comprehensive consultation with an expert panel consisting of industry leaders from olive oil mills was conducted. These experts evaluated 13 critical factors identified through a literature review and their practical experience. The findings from this panel offer immediate practical applications, emphasizing the importance of marketing strategies, professionalization, internationalization, and the utilization of social networks and e-commerce in driving olive oil sales. The implications of these findings suggest that companies must restructure to become more professional and market-oriented to navigate and surmount the traditional commercial barriers in the olive oil industry. Overall, this research enhances our understanding of the supply-side dynamics influencing the marketing and sale of olive oil in the Spanish context and beyond. Full article

This study examines the transformative changes in the wine industry of Southern Europe over recent decades, focusing on one of Spain’s oldest Protected Designations of Origin (PDO), Montilla–Moriles. The region faced severe challenges during the second wave of globalization at the beginning of the 21st century. According to the 1999 Strategic Plan for this PDO, far-reaching strategic actions were needed; 25 years later, however, fewer than half of the original companies remain. To understand this complex issue, a qualitative analysis was conducted using case studies and in-depth interviews with key stakeholders in the sector. The paper presents several success stories featuring companies with strong dynamic capabilities: Bodegas Robles, Lagar de la Salud, and Tonelería del Sur–Casknolia. These companies were selected for their notable growth, contrary to the general industry trend, their diverse strategies, and their role in revitalizing the Montilla–Moriles wine market. Their success is attributed to a blend of traditional expertise, innovation, sustainability, and strategic internationalization. The findings of this study reveal that despite the industry’s challenges, innovative initiatives can thrive by leveraging global market opportunities. Full article

This study examines the adaptation of the Uppsala Model to enhance the management of European Union (EU)-funded projects, particularly focusing on the macro- and micro-foundational elements of the model. The Uppsala Model, originally developed for firm-level internationalization, provides a valuable framework for addressing the complex challenges of EU project implementation, which include bureaucratic hurdles, diverse stakeholder management, and the intricacies of European integration. This paper highlights the persistent issues faced by project managers despite improved application processes and skilled beneficiaries. By applying the Uppsala Model, which emphasizes incremental knowledge development and resource commitment, this study aims to bridge the gap between fund acquisition and project delivery. The integration of both macro- (broad external factors) and micro- (individual and organizational behaviors) perspectives of the Uppsala Model offers a comprehensive approach to managing international, multi-stakeholder EU initiatives. This approach is exemplified through the SuMaNu project, which addresses nutrient recycling and sustainable manure management in the Baltic Sea Region. The findings suggest that the Uppsala Model’s principles can be effectively applied to enhance the execution of complex EU projects by fostering better stakeholder relationships, incremental learning, and adaptive strategies. This study underscores the relevance of experiential learning and network perspectives in achieving successful project outcomes in the EU context. Full article

Workplace cyberbullying, exacerbated by the growing prevalence of digital work environments, has emerged as a significant threat to employee well-being and organisational productivity. Despite increasing research attention around the world, there is a critical gap in understanding the unique context and implications of cyberbullying within African workplaces, particularly those operating in digital spaces. This bibliometric analysis, utilising Scopus and Web of Science databases, systematically examines the publications on workplace cyberbullying from 2000 to 2024 using Microsoft Excel and visualisation tools such as VOS Viewer. The findings underscore a stark disparity in research focus, with most studies originating from developed countries and neglecting African organisations’ specific challenges. Although South Africa and Ghana have made initial contributions, a comprehensive understanding of the prevalence, manifestations, and consequences of cyberbullying in diverse African cultural and organisational settings in Africa remains elusive. This study serves as a call to action for researchers and practitioners to prioritise investigations into cyberbullying in Africa, highlighting the need for culturally sensitive interventions and policies tailored to digital work environments. By addressing this research gap, organisations can promote healthier and more sustainable workplaces for employees across Africa. Full article

As digital content increasingly moves away from free access, microtransactions may provide an alternative. There is a need for research on microtransactions as a general digital content payment mechanism. Businesses can capitalize on this technological advancement by expanding their paid digital content offerings without resorting to subscription-based services. This study examines a taxonomy for microtransactions based on consumer buying behavior, presents business models for microtransaction payment processing, and examines issues with its implementation. Data collected from 180 consumers were analyzed using quantitative and qualitative analyses to assess the receptiveness and perception of microtransactions. The results indicate that consumers are receptive to the concept of microtransactions and are willing to spend on five distinct digital content categories. This study concludes with a discussion of issues that consumers foresee with digital content microtransactions and implications for interested businesses. Full article

While artificial intelligence has successful and innovative applications in common medicine, could its application facilitate research on rare diseases? This study explores the application of artificial intelligence (AI) in orphan drug research, focusing on how AI can address three major barriers: high financial risk, development complexity, and low trialability. This paper begins with an overview of orphan drug development and AI applications, defining key concepts and providing a background on the regulatory framework of and AI’s role in medical research. Next, it examines how AI can lower financial risks by streamlining drug discovery and development processes, analyzing complex data, and predicting outcomes to improve our understanding of rare diseases. This study then explores how AI can enhance clinical trials through simulations and virtual trials, compensating for the limited patient populations available for rare disease research. Finally, it discusses the broader implications of integrating AI in orphan drug development, emphasizing the potential for AI to accelerate drug discovery and improve treatment success rates, and highlights the need for ongoing innovation and regulatory support to maximize the benefits of AI-driven research in healthcare. Based on those results, we discuss the implications for traditional and AI-powered business in the drug industry. Full article