Understanding customer satisfaction in e-commerce is crucial for businesses to remain competitive. While traditional feedback analysis methods are labour-intensive and subjective, machine learning advances have enabled more efficient and scalable sentiment analysis. However, existing models struggle with aspect-based sentiment analysis (ABSA), particularly in detecting implicit aspects and handling mixed sentiments. This paper presents a multi-model machine learning pipeline designed to enhance ABSA by integrating fine-tuned Large Language Models (LLMs) with BERT and RoBERTa-based models. The pipeline consists of an LLM-generated synthesized annotated feedback model, a BERT-based aspect detection model, a RoBERTa-based ABSA model, and an LLM-based ABSA model for handling implicit aspects and mixed sentiments. Additionally, a RoBERTa-based model is employed for overall sentiment detection. By leveraging both manually annotated and synthetic data, the pipeline improves sentiment classification accuracy and aspect coverage, even in data-scarce environments. The results demonstrate that combining multiple models enhances detection accuracy compared to single-model approaches. This study provides a scalable and effective solution for e-commerce feedback analysis, offering businesses valuable insights for improving customer experience and decision-making.

The aviation industry faces pressure to reduce its environmental footprint while maintaining cost efficiency, regulatory and safety compliance. This research investigates how recyclability, as a key strategy within circular economy principles, can be implemented for aircraft interior parts. Employing a multi-method approach, including literature analysis, field research, stakeholder interviews, and a case study, this research identifies critical enablers and barriers to recycling aircraft interior parts. The findings demonstrate that recycled materials can meet key fire safety standards, supporting their potential for reuse in safety-relevant aircraft applications. A decision-tree framework was developed to assess the recycling potential of interior parts across maintenance, repair, and overhaul (MRO) operations. The research concludes that advancing recyclability within aircraft interiors aligns with circular economy ambitions and is both technically feasible and economically advantageous, offering a scalable pathway to enhance sustainability and operational efficiency in the aviation sector.

Household food waste plays a crucial role in the overall global food waste problem. A significant portion of this waste consists of edible leftovers that could be repurposed instead of discarded. However, leftover reuse remains an underexplored strategy for reducing food waste, despite its potential to contribute to more sustainable food consumption. By framing leftover reuse as a sufficiency-driven behavior, this study positions it as a key strategy for reducing food waste and fostering responsible consumption. Following a mixed method approach consisting of qualitative interviews, a survey and creative sessions with designers, this research explores the psychological factors that influence individuals' intentions to reuse food leftovers and provides practical design strategies to encourage leftover reuse. Based on a dataset of 244 households in the Netherlands, we use Structural Equation Modeling (SEM) to test a conceptual model grounded in psychological constructs, assessing factors influencing intention to reuse leftover food. The findings reveal that attitudes, and personal norms are significant factors in encouraging reuse of leftover food, while perceived health risks negatively affect attitudes towards reuse. Based on qualitative and quantitative insights, six evidence-based design strategies were developed to address both psychological motivators and practical challenges. The results contribute to the literature and practice by highlighting the psychological determinants of food leftover reuse and proposing interventions to foster sustainable food consumption practices.

Previous research on digital transformation of Finance & Accounting is largely conceptual, lacking insights into financial specialists’ roles in adopting and implementing digital technologies. By employing Resource Orchestration Theory, this study examines digitalization’s impact on F&A functions through four case studies. Findings reveal diverse adoption strategies, evolving F&A processes, and data-driven decision-making. The results show that due to the adoption of digital technologies, the elusive boundaries of F&A functions have become opaque. This paper contributes to F&A functions literature and provides new knowledge on how to seize the opportunity arising from the more elusive boundaries of F&A within diverse organizations.

This research investigates how professional designers engage with sustainability in their practices, focusing on the early ideation phase. A comprehensive literature review identified gaps in existing tools and methods, highlighting a lack of practical guidance for addressing sustainability within organisational and societal contexts. Semi-structured interviews with design practitioners provided insights into the challenges designers face, including conflicting stakeholder priorities, greenwashing, and the need for alignment across diverse perspectives. A co-creation session further refined these insights, leading to the development of the Tactical Sustainability Cards—a tool designed to inspire sustainable thinking, guide decision-making, and foster collaboration. The Tactical Sustainability Cards were validated through expert feedback and iterative refinement, emphasising their utility in overcoming limitations of existing Design for Sustainability (DfS) tools, such as complexity and narrow focus. By providing actionable prompts and a shared language, the cards empower designers to navigate sustainability challenges, align stakeholders, and justify sustainable initiatives effectively. This research contributes to bridging the gap between sustainability theory and practice by offering a practical tool that integrates sustainability into design processes. The findings lay a foundation for future work exploring the broader applicability of the cards and elaborate on the potential for design to harmonise innovation and sustainability, addressing the environmental and societal challenges.

The transition to recyclable packaging is a strategic priority for the Fast-Moving Consumer Goods (FMCG) sector, aligning with the EU Packaging and Packaging Waste Regulation (PPWR). Adapting to regulatory uncertainty and integrating evolving recyclability criteria require not only technical innovation but also organisational transformation and cross-functional alignment. This paper investigates how FMCG companies can develop dynamic capabilities to embed recyclability into packaging design, balancing sustainability, functionality and business viability. This paper aims to develop and validate design-led toolkits that enable FMCG companies to integrate recyclability and regulatory compliance into packaging innovation in alignment with the EU PPWR. Drawing on a mixed-methods approach combining literature review, stakeholder interviews and a case study within the case company's packaging division, we develop and validate strategic and tactical roadmaps and a recyclable-ready design process template. The toolkits support managerial decision-making by enabling regulatory preparedness, sustainable innovation and enhanced collaboration across R&D, marketing and supply chain functions. By framing recyclability as both a design and strategic organisational challenge, this paper positions PPWR compliance readiness as a dynamic capability and offers actionable frameworks for FMCG companies' transition towards circular packaging in a complex regulatory landscape. The findings contribute to sustainability-oriented innovation literature and provide practical recommendations and solutions to managers and decision-makers aiming at sustainable packaging transitions while maintaining competitive advantage.

Purpose: This research paper aims to delve into the perceptions of health susceptibility among Iranian, Afghan and Tajik individuals hailing from asylum-seeking or refused asylum-seeking backgrounds currently residing in Finland, Norway and Sweden. Design/methodology/approach: Semi-structured interviews were conducted between May and October 2022 involving a sample size of 27 participants. An adapted framework based on the health belief model along with previous studies served as a guide for formulating interview questions. Findings: Notably influenced by cultural background, religious beliefs, psychological states and past traumatic experiences during migration journeys – before arrival in these countries till settling down – subjects’ perception of health concerns emerged significantly shaped. Additionally impacting perspectives were social standing, occupational status, personal/family medical history, lifestyle choices and dietary preferences nurtured over time, leading to varying degrees of influence upon individuals’ interpretation about their own wellness or illness. Practical implications: Insights garnered throughout the authors’ analysis hold paramount significance when it comes to developing targeted strategies catering culturally sensitive health-care provisions, alongside framing policies better aligned with primary care services tailored explicitly around singular demands posed by these specific communities dwelling within respective territories. Originality/value: This investigation represents one among few pioneering initiatives assessing perceptions regarding both physical and mental well-being within minority groups under examination across Nordic nations, unveiling complexities arising through intersecting factors like individual attributes mingling intricately with socio-cultural environments, thereby forming unique viewpoints towards health-care belief systems prevalent among such population segments.

The pervasive integration of digital platforms into daily life has amplified their perceived indispensability. This study investigates the factors influencing this perception across countries with contrasting platform landscapes, focusing on platform quality and usage patterns. We conducted surveys in Finland and Korea, countries representing distinct platform ecosystems. The results revealed higher perceived indispensability in Korea than in Finland, with usefulness and habitual platform use emerging as significant predictors of indispensability in both countries. However, the specific aspects of platform quality influencing this perception diverged. In Finland, the platform’s comprehensiveness and security risk significantly impacted indispensability, while social interaction features played a negligible role. Conversely, in Korea, social interaction features significantly influenced indispensability, while platform comprehensiveness and security risk were non-significant. These findings underscore the multifaceted nature of digital platform indispensability, shaped by the interaction of platform quality and usage patterns. The contextual variations highlighted by our cross-country comparison suggest that a one-size-fits-all approach to platform regulation or user education may be ineffective. Future research should explore these cultural and platform-specific nuances to devise tailored policies.

Purpose: Despite the considerable increase in research on entrepreneurship education, few studies examine the role of entrepreneurship educators. Similarly, most frameworks from entrepreneurship education recognize the educator’s importance in facilitating instruction and assessment, but the factors influencing the educator role are not well understood. According to the identity theory, personal factors including self-efficacy, job satisfaction and personal values influence the perspective of self, significance and anticipations that an individual in this role associates with it, determining their planning and actions. The stronger the role identity the more likely entrepreneurship educators will be in effectively developing their entrepreneurial skills as well as the overall learning experience of their students. The objective of this study is to pinpoint the factors that affect entrepreneurial role identity. Design/methodology/approach: Drawing upon the identity theory, this study developed a theoretical framework and carried out an empirical investigation involving a survey of 289 entrepreneurship educators across the globe. Structural equation modeling (SEM) technique was applied to analyze and explore the factors that impact the identity of the educators in their role as entrepreneurship teachers. Findings: The findings show that the role identity of entrepreneurship educators is significantly influenced by their self-efficacy, job satisfaction and personal values. Among these factors, self-efficacy and job satisfaction have the most significant impacts on how educators perceive their role. The implications of these results and directions for future research are also discussed. Originality/value: The novelty of the current study is derived from its conceptualization of the antecedents of role perception among entrepreneurship educators. This study stands out as one of the earliest attempts to investigate the factors that shape an individual’s scene of self and professional identity as an entrepreneurship educator. The significance of comprehending the antecedents of role perception lies in the insights it can offer into how educators undertake and execute their role, and consequently, their effectiveness in teaching entrepreneurship.

Purpose: To co-create value through dynamic collaborations, enterprises and their suppliers need to orchestrate the integration of complementary resources when providing business services. As such enterprises' strategic decision to apply a plural sourcing strategy to establish dynamic collaborations with their suppliers implies that both in-house and outsourced business services should be bundled into a business services portfolio. However, the antecedents that affect a business services portfolio have rarely conceptually been identified. Design/methodology/approach: Drawing on resource orchestration theory, the authors theoretically developed and empirically validated a business services portfolio conceptual model. The model aims at explaining the critical antecedents to a business services portfolio based on a unique data set, comprising 121 international enterprises with variation in the degree of outsourcing, size, geographies and maturity. Partial least squares structural equation modelling was used to examine the relationships among the antecedents and a business services portfolio. Findings: The findings show that the antecedent, i.e. plural sourcing strategy, modularised business processes and customer orientation have a direct and significant effect on the enterprises' business services portfolio orchestration. The results of the mediation test indicate that modularised business processes fully mediate the relationships between three independent variables with the orchestration of business services portfolio. Originality/value: This study is the first to analyse the impact of plural sourcing strategy, modularised business processes and customer orientation on the business services portfolio orchestration from a plural sourcing context. Additionally, it examines the mediating role of modularised business processes in the relationship between the antecedents and business services portfolio orchestration.

Purpose: Students' satisfaction with e-learning outcomes is a vital component in determining the adoption of e-learning systems. Understanding the antecedent factors impacting students' satisfaction with e-learning outcomes helps decision-makers at the higher education to take the necessary actions to enhance the quality of students' performance, especially during the exceptional times, such as the COVID-19 pandemic. Design/methodology/approach: This paper aims to determine and analyse the antecedent factors influencing students' satisfaction with e-learning outcomes during the pandemic. Structural equation modelling (SEM) is used to analysis a proposed research model. Findings: The SEM results show that digital communities in e-learning, information technology (quality and accessibility) and the online course design quality directly influence students' satisfaction with e-learning outcomes. More interestingly, results show that the COVID-19-related factors (1) awareness of the COVID-19, (2) perceived challenges (negatively) and (3) the educational institutions' preparedness also influence e-learning outcomes. Research limitations/implications: The results suggest that the decision-makers at the educational institutions should consider adopting a blended learning system approach to deliver e-learning during the emergency, such as the COVID-19 outbreak situation. Originality/value: This is one of the first studies in higher education context, which seek to identify the antecedent factors that influence students' satisfaction with e-learning outcomes during the COVID-19 pandemic.

Purpose: The choices that international students make regarding abroad study destination selection or leave the host country after graduation are influenced by a variety of factors that are both related to positive and negative aspects of the host country. Design/methodology/approach: This study builds on the push-pull factor theory and examines the factors that influence international students' decision to choose abroad study destination (Finland) or leave the country after their graduations. The data were collected through an online survey of 195 international students currently studying in Finland and were analysed using partial least squares structural equation modelling (PLS-SEM) technique. This method offers a flexible and robust approach to test relationships, particularly in situations where sample size and the conceptual model are small and complex. Findings: The results show that international students' choice of study destination (Finland) is influenced by the host country's quality of life, academic excellence and economic factors such as salary and benefits. Unfamiliarity with the culture and language barriers have a negative impact on their decisions to stay in the host country after graduation. Originality/value: By utilising a comprehensive analysis of both push and pull factors in relation to the host country, this study unveils a novel perspective in the field of international student mobility. The results provide insights to the institutional leaders and policymakers into how to attract and retain international students by focusing on the factors that matter most to international students. To attract more international students, higher education institutions (HEIs) should include career development activities, e.g. job fairs, language training, scholarships and internships in their curriculum. Moreover, it provides recommendations on how to create a welcoming and supportive environment that promotes academic excellence and career development.

Purpose: Entrepreneurship education (EE) is critical for developing the skills of tomorrow's entrepreneurs and leaders. While significant research examines the content, student learning processes and outcomes, less studied are the entrepreneurship educators and their pedagogical preferences. Following a cognitive process model of decision-making, this study explores how self-efficacy, philosophy of teaching, entrepreneurship training and teaching experience influence entrepreneurship educator preferences to follow either a teacher-centric or a student-centric approach. This study also includes gender in a secondary analysis of the relationships. Design/methodology/approach: The data were collected from 289 entrepreneurship educators in 2021, and fuzzy-set comparative qualitative analysis (fsQCA) was used to obtain configurations of conditions (causal recipes) that lead to teacher-centric or student-centric model. A secondary analysis explores whether there are different configurations of conditions when gender is added to the analysis. Findings: The results of our fsQCA analysis reveal multiple configurations of conditions (causal recipes) that result in a preference for either a teacher-centric or student-centric approach to teaching entrepreneurship. The authors find that teaching experience is the main condition for the teacher-centric model, while self-efficacy and entrepreneurship training are the main conditions for the pathways leading to student-centric model. The fsQCA results also show that the configurations are affected when gender is taken into account in the analysis. Originality/value: This study, one of the first of its kind, uses a configurational approach to examine pathways that contribute to the teaching preferences of entrepreneurship educators. This paper uses self-efficacy, teaching philosophy, teaching experience and entrepreneurship training as conditions to identify multiple unique pathways that result in either a teacher-centric or student-centric pedagogical model in EE. Notably, differences by gender are also found in this study.