The aim of the paper is to map the thematic landscape of the sustainable supply-chain management (SSCM) research field and contribute to exploring “relationships among specific constructs” in the field. The use of bibliometric methodology and the focus given to relationships among topics categorized into thematic clusters within the field are the features which differ the study from other reviews in the research field. The operational objectives of the study are as follows: (1) to profile the development of the SSCM research field and its scientific output, (2) to identify leading thematic areas in the field and explore their composition and relationships among them, (3) to identify ‘hot’, emerging topics in the field. The analysis of change in the number of publications and citations related to the SSCM concept supports the study of research productivity in the field. General publication profiling focuses on the identification of subject areas and leading contributors to the research field, i.e., countries, research institutions, source titles and authors. Keywords co-occurrence analysis is employed to identify and explore leading and emerging topics. The study points out that the main thematic areas in the SSCM research field are: (1) economy and management in the context of the environment, (2) supply chain in the context of sustainability, (3) sustainable supply chains—process approach, (4) decision making for SSCM, (5) the practice context of supply-chain management, and (6) competition and social responsibility (SR) issues. The most up-to-date topics of scientific inquiry in the field focus around the following issues: (1) human aspects, (2) sustainable supplier selection, (3) manufacturing, (4) circular economy, (5) efficiency, (6) sustainable practices, (7) commerce, (8) costs, (9) environmental impact, and (10) the textile industry.

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The dynamic growth in the use of cloud computing systems results in increasing energy consumption. Consequently, more and more attention is given to energy efficiency issues both in research and theory development as well as the business practice of cloud computing systems. In spite of the rapid development of research, the field has not been mapped from the bibliometric perspective yet. This study aims at publication profiling and mapping the thematic structure of the cloud computing energy efficiency research field. Detailed research objectives include: (1) profiling scientific publications in the field, (2) identifying and exploring thematic research areas, (3) identifying emerging topics and discussing their potential as future research lines. The aforementioned objectives are translated into the following study questions: (1) What are the most productive nations, institutions, source titles, and scholars contributing to research on energy efficiency in cloud computing? (2) What does the thematic structure of the research field look like? (3) What are the “hot” research topics attracting scholars’ attention? The research methodology toolbox includes a combination of bibliometric descriptive studies (research profiling), science mapping (keyword co-occurrence analysis), and literature reviews (systematic literature review). Bibliometric data for analysis were elicited from the Scopus database. The VOSviewer software supported bibliometric analysis and data visualization.

The innovation capability of a company is considered the determinant of its competitiveness in the long-term. Therefore, it is of increasing importance to understand the critical variable behind a firm’s innovation capability. The paper explores these issues and contributes to the research on the factors that drive a company’s innovation capability. The aim of the paper is to identify which factors determine the innovation capability of manufacturing enterprises operating in Poland. In the theoretical part, it provides an overview of recent contributions to the literature on a company’s innovation capability enhancers. The empirical contribution of the paper refers to recognising the relationship between the certain practices pursued by Polish manufacturing enterprises and their innovation capability measured by innovation output. Using a model for panel data, the study finds that that the factors driving innovation capability of manufacturing enterprises operating in Poland are the following: inter-organisational cooperation, hiring employees in research and development (R&D) activities as well as firms’ internal expenditures on R&D. The study is based on the data from publications of the Central Statistical Office of Poland, which contain information on the activities of manufacturing enterprises and reports presenting the results of research on the innovation capability of enterprises.