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The purpose is to analyze and discuss the sustainable development (SD) and financing risk assessment (FRA) of resource-based industrial clusters under the Internet of Things (IoT) economy and promote the application of Machine Learning methods and intelligent optimization algorithms in FRA.

This study used the Support Vector Machine (SVM) algorithm that is analyzed together with the Genetic Algorithm (GA) and Ant Colony Optimization (ACO) algorithm. First, Yulin City in Shaanxi Province is selected for case analysis. Then, resource-based industrial clusters are studied, and an SD early-warning model is implemented. Then, the financing Risk Assessment Index System is established from the perspective of construction-operation-transfer. Finally, the risk assessment results of Support Vector Regression (SVR) and ACO-based SVR (ACO-SVR) are analyzed.

The results show that the overall sustainability of resource-based industrial clusters and IoT industrial clusters is good in the Yulin City of Shaanxi Province, and the early warning model of GA-based SVR (GA-SVR) has been achieved good results. Yulin City shows an excellent SD momentum in the resource-based industrial cluster, but there are still some risks. Therefore, it is necessary to promote the industrial structure of SD and improve the stability of the resource-based industrial cluster for Yulin City.

The results can provide a direction for the research on the early warning and evaluation of the SD-oriented resource-based industrial clusters and the IoT industrial clusters, promoting the application of SVM technology in the engineering field.

The purpose of this paper is to investigate what types of open innovation search strategies are associated with internal innovation activities in family and non-family SMEs within natural resource-based clusters.

This study is based on an empirical analysis of a sample of 245 Chilean firms.

Results suggest that while family and non-family SMEs do not significantly differ in terms of internal innovation activities, important differences exist in terms of open innovation search strategies. In particular, family SMEs search for new ideas and knowledge within their closest network of relationships (e.g. customers, suppliers and competitors), whereas non-family SMEs mainly focus on broader network relationships (e.g. universities, public institutions and fair trade organizations).

This study shows that within a natural resource cluster, the types of firm do matter. In fact, family and non-family SMEs use different open innovation search strategies to innovate; hence, this research may help and assist policy makers in tailoring innovation policies aimed at expanding the potential benefits of clusters for regional growth and development.

This research addresses the call to further investigate the link between family SMEs and innovation in developing countries, given that SMEs may also act as a lively player for regional development.

El objetivo de este artículo es investigar las estrategias de búsqueda de innovación abierta de las pequeñas y medianas empresas familiares y no familiares en un clúster basado en los recursos naturales.

Este estudio está basado en un análisis empírico con una muestra de 245 empresas Chilenas.

Los resultados muestran que no hay diferencias significativas en las actividades internas de innovación entre las pequeñas y medianas empresas familiares y no-familiares de la muestra. Sin embargo, se han encontrado diferencias en las estrategias de búsqueda de innovación abierta que utilizan de las empresas. Las empresas familiares buscan nuevas ideas y conocimiento para innovar entre sus contactos más cercanos (por ejemplo: clientes, proveedores y competidores). Las empresas no-familiares se enfocan en contactos más amplios (por ejemplo: tales como universidades, instituciones públicas y ferias internacionales).

Este estudio muestra que distinguir entre empresas familiares y no familiares dentro de los clúster basados en los recursos naturales es importante. Las pequeñas y medianas empresas familiares y no familiares usan diferentes estrategias de búsqueda de innovación abierta. Por lo tanto, nuestros resultados pueden ayudar al diseño de políticas públicas de innovación diferenciando empresas familiares y no familiares con el objetivo de potenciar los beneficios de los clúster para el crecimiento y desarrollo regional.

Este artículo intenta avanzar en la investigación relacionando innovación y pequeñas y medianas empresas familiares en países en desarrollo.

With the advancement of new-types of urbanization, our country needs to construct reasonable structures of the resource-based central city and sub-central city in the regions, to transform the mode of the development of the city, to achieve the coordinated and the sustainable in resources, to avoid the resources of waste and to build the green, low carbon, agglomeration and sustainable new towns. This paper does the analysis of SWOT by putting forward a specific example which establishes Handan as the central city and Wu’an and Feixiang act as the sub-central cities to explore the advantages of choosing resource-based city as a central city, which gives the support in theory and practice for realizing the winwin situation and maximization of interests in the regions.

The purpose of this paper is to study how local government policy influences the structure of Chinese pharmaceutical clusters during their industrial catch-up.

This paper applies a case study method by targeting pharmaceutical clusters in Tonghua, Taizhou, and Tianjin.

The varied structures of pharmaceutical clusters in China demonstrate local governments' efforts to utilize local resources accordingly. While the local governments in China introduce different policies to firms with different ownership in the process of constructing different cluster composition, all the local governments emphasize motivating the development of small- and middle-sized enterprises for cluster dynamics.

The local governments should try to reach a balance between short-term foundation and long-term competitiveness for industrial cluster development.

This paper provides the detailed analysis of local governments' influences on the formation of pharmaceutical clusters in China and helps to enrich the knowledge about how local government promotes industrial clusters to realize industrial catch-up through sectoral innovation system.

The purpose of this study is to provide a revision of the literature that links the concepts of sustainability and internationalization in the context of emerging markets

The results are presented following the recommendations of Challahan (2014), who introduced the concept of the “Six W” as components of a literature review.

It can be noted that there are common characteristics among the study of internationalization and sustainability in emerging markets. It is possible to suggest a framework of research that considers internationalization as a driver for the pursuit of sustainability initiatives.

There is an increasing evidence of the inclusion of corporate social responsibility activities and sustainable development on international business. This way, the present paper can serve as a base to understand the internationalization processes of emerging market multinationals (EMNEs) and their commitment to sustainability.

The purpose of this paper is to develop a contemporary resource‐based taxonomy of manufacturing micro, small, and medium‐sized enterprises (MSMEs) and to relate the findings to other small to medium‐sized enterprise (SME) taxonomies and to resource‐based theory.

Cluster analysis of 186 Swedish manufacturing MSMEs. The cluster analysis is based on resources and capabilities. The cluster variables were identified through case studies and a literature review of contemporary studies in resource‐based theory.

The cluster analysis resulted in identification of six different clusters: Ikeas, conservatives, technocrats, marketeers, craftsmen, and nomads. The results are related to other SME taxonomies and the usefulness of going beyond the one‐dimensional scale of entrepreneurs and non‐entrepreneurs is discussed.

Classifications of firms, for example the Miles and Snow typology, have been used successfully in numerous studies. Also, the resource‐based view of the firm has had a great impact on business research and there has been increasing interest in MSMEs. However, there are very few contemporary resource‐based taxonomies of MSMEs.

The purpose of this paper is to evaluate the competitiveness of the Brazilian ceramic tile industry using a conceptual model that the authors developed which integrates two contemporary approaches: industrial districts and the resource‐based view.

A quantitative study was carried out, using a survey with firm CEOs.

The results indicate that companies present in industrial districts have greater access to the strategic resources they share, such as knowledge transfer, access to information, and collective reputation. This fact results in higher levels of competitiveness, from the resource‐based view, since companies outside the district do not have the same resources available to them.

Idiosyncratic characteristics of the industry can limit our results. For further discussion, we suggest studies with other industries and local players and the positive effect of the social capital.

One contribution from our work is linking the resource‐based view to industrial district dynamics, which can help to develop local industrial policies.

This study considers the viability of the combination strategy with regard to the Porter and Miles & Snow generic strategy typologies. Within each framework, it is possible to pursue a “combination strategy,” whereby dimensions of two or more pure strategies are incorporated simultaneously. The present study presents findings from a recent assessment of perceptions of 415 American and Mexican managers regarding their firms’ strategies and levels of performance. Data suggests that combination strategies can be associated with either inferior or superior performance. This paper also suggests that additional research should considerre‐visit the I/O versus resource‐based schism and seek to integrate the two schools of thought into a broader consensus.

The resource‐based view of the firm has recently emerged as a new paradigm in strategic analysis. According to this view, firms are heterogeneous collections of resources that lead them to distinct market performance. This paper uses this approach not to analyse an individual firm but a cluster of firms, whose competitiveness depends not only on their individual resources and capabilities but also on those shared by the cluster as a whole. The analysis was developed for a wine cluster located in southern Brazil. The main objective was the identification of the resources and capabilities shared by the cluster in its effort to formulate sustainable competitive strategies. The research method employed combined the techniques of cognitive mapping analysis with the theoretical basis of the resource‐based view approach. The results of the study produced a significant improvement in managers’ and strategists’ perceptions about the competitive potential of the cluster.

This study sought to develop an aggregated assessment of the literature on the resource-based view (RBV). The main aim was to map the RBV field based on a systematic literature review (SLR) of 226 academic articles published in refereed journals from 1994 to 2022.

Two bibliometric analysis methods were used: bibliographic coupling and co-citation. These measures are complementary because bibliographic coupling is retrospective in nature and co-citation is forward-looking.

The analysis identified the most influential studies, top-cited articles and journals and six major thematic clusters: RBV, customer orientation and alliance portfolio, resource-based theory, firm performance, entrepreneurial orientation (EO) and dynamic capabilities.

This research was based on a combination of bibliographic coupling and co-citation analysis. The results provide a better understanding of the RBV field’s intellectual structure, which reveals potential new lines of future research.