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Small and medium-sized enterprises (SMEs) are highly concerned about every aspect of their international performance (IP) due to their limited resources. However, the literature has not given equal attention to every necessary aspect and has left some fields unexplored. Moreover, different approaches to assessing SME IP have made the literature even more fragmented. This research aims to identify the gaps in the research context and assessment methods of this concept.

A systematic literature review and a thematic analysis method are employed to review 272 journal papers published in high-quality journals.

By extracting six contexts in which the concept of international performance of SMEs has been analyzed, this study integrates the research themes with geographical domains and highlights which contexts require more attention. Moreover, this study provides a comprehensive review of the current state of this concept’s operationalization methods, illustrating the level of fragmentation and differences in the literature. Following the presentation of an enriched future research agenda, this study guides scholars on the current gaps and needs for research in specific contexts and domains while providing suggestions for a more cohesive assessment of the concept.

This study is the first to systematically review the research concerning the foreign performance of firms with less than 500 employees, extract their research context, illustrate uninvestigated fields and provide helpful suggestions about the concept’s operationalization method based on a comprehensive review of the extant assessment methods.

The 21st century has brought the business model earth-shaking changes, especially since the Corona Virus Disease 2019 (COVID-19) epidemic at the end of 2019. Now, the epidemic normalization is slowing down China's rapid development. However, technological development, like artificial intelligence (AI), is unstoppable and is transforming China's economic growth modes from factor-driven to innovation-driven systems. Therefore, it is necessary to study further the new changes in labor entrepreneurship and innovation business models and their mechanism of action on economic growth.

This work studies how innovative human capital (IHC) uses AI and other scientific and technological (S&T) innovation technologies to promote China's innovation-driven economic growth model transformation from the labor entrepreneurship and innovation perspective.

The research shows that the entrepreneurial innovation ability of IHC can increase marginal return and output multiplier effect. It changes the traditional business model and promotes China's economic growth and innovation development. At the same time, this work analyzes China's inter-provincial panel data through the panel smooth transition regression (PSTR) model. It concludes that there is a nonlinear relationship between IHC and the output of innovative achievements. The main body presents three stages of nonlinear changes: first rising, then slightly declining, and rising so far.

The finding provides a direction for solving the problem of slow economic growth and accelerating the transformation of economic growth mode under epidemic normalization.

Within the framework of EU policies and measures to develop a just and fair green energy transition model. This paper aims to offer valuable insights into a paramount concern not so well debated in the literature, i.e. the spatial variation of energy poverty.

This empirical analysis investigates the regional variation of energy poverty we draw on a sample of more than 300,000 Spanish households, extracted from the Spanish Household Budget Survey (HBS) for the period 2006–2022. To characterize the probability of a household finding itself in a situation of energy poverty the authors use a discrete choice univariate probit model.

The results confirm that energy poverty is a phenomenon that is asymmetrically distributed across Spain, and mainly occurs in un-densely populated regions. In addition, the findings demonstrate that the incidence of energy poverty drivers is highly heterogeneous across regions.

The paper ends with some recommendations for policymakers suggesting that countries need to design an energy poverty policy for the households that jointly pursue both a correct identification of vulnerable groups and a match with the type of measure to the characteristics of each region.

This study enhances previous research by considering the case of areas at a lower level of aggregation (i.e. on the NUTS two regions in Spain called autonomous communities) and offers the opportunity to tailor policies to those regions most in need. Furthermore, to provide a more realistic picture of the complex phenomenon of energy poverty, the authors use the information for the period 2006–2022 differentiating by economic micro-cycle. This timespan allows the authors to understand the dynamics of energy poverty in periods of economic crisis, including the effects of the 2008 crisis and the present global energy crisis.

Online grocery service (OGS) has significantly grown in recent years, particularly during the Covid-19 pandemic. This surge has attracted significant scholarly attention and resulted in many scientific articles in the last five years. Adopting a bibliometric review approach, this study attempts to comprehensively and systematically analyse the academic literature on OGS.

A Scopus search using pertinent keywords followed by PRISMA screening identified 384 relevant articles. Articles were analysed using VOSviewer and Biblioshiny, which employed citation and thematic analysis.

The study identifies the significantly impactful authors, articles, and journals. While the analysis reveals the evolution across four time-frames, it also highlights the clusters representing the literature strands. Six major themes are identified in the literature, and potential future research enquiries are suggested.

As the first study to include over 350 articles, it comprehensively represents the current state of the OGS literature, utilising performance and thematic analysis techniques. The article contributes significantly to the academic discourse surrounding OGS by synthesising and presenting diverse themes. Further, the future research questions provide a foundation for advancing the literature and guiding future scholarly work in the OGS domain.