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Leadership competencies are of crucial importance in every organisation as to a large extent they determine its success. This is especially evident in the time of Industry 4.0. Given this fact, the aim of our paper is to examine the relationship between leadership competencies and 4.0 leadership effectiveness. The heat and power plants industry was chosen as the subject of our research. The fuzzy-set qualitative comparative analysis (fs/QCA) was used as the research method. It enabled us not only to analyse particular variables, competences, and typical statistical relations between them, but we also revealed the patterns of causal relationships between particular variables. The key finding of our research was the juxtaposition of leadership competencies that are indispensable for 4.0 leaders in the CHP plants. We also found out that managerial competencies were not sufficient, and they should be supported by intellectual or socio-emotional ones.

The literature emphasizes that interactions between biotic (the individual) and abiotic entities (the institutional environment) are central to entrepreneurial ecosystems. However, despite the importance of digital entrepreneurial ecosystem (DEE) elements, it might be questioned if all elements are equally necessary. Furthermore, different outputs might require different conditions. The same can happen with different levels of a given output. The answer to these questions is of particular concern from a policy perspective. By using necessary condition analysis (NCA) alongside with fuzzy-set qualitative comparative analysis (fs/QCA), this study advances understanding of the entrepreneurial ecosystems. While fs/QCA identifies only one necessary condition to produce digitally-enabled unicorns – market conditions – and none to unicorns and new business creation, NCA shows that all elements of DEE are necessary to produce digitally-enabled unicorns, and most of them are also necessary for producing unicorns. NCA also identifies formal institutions, regulations, and taxation and finance as necessary conditions for new business creation. Moreover, NCA shows that necessary conditions do not have the same degree of importance, and the necessity of a given condition does not automatically imply its highest level is required. For researchers, these results emphasize the importance of using NCA as a complement of fs/QCA. For practitioners, these findings can be used to optimize the allocation of policy resources, particularly targeting the elements that constitute bottlenecks. Policymakers should target different levels of entrepreneurial ecosystem pillars performance to produce unicorns. Ambitious entrepreneurship is important for country competitiveness in the digital age. Digital entrepreneurial ecosystems can facilitate the rise of digitally-enabled unicorns, an extreme case of ambitious entrepreneurship. This study shows which conditions are necessary to produce this output; these conditions can be required at different levels. The comparison of country’s performance on each condition shows which of them constitute bottlenecks. Although all elements of digital entrepreneurial ecosystems are relevant for digitally-enabled unicorns, policymakers should target the ones that constrain the emergence of this output. This study identifies the levels that should be reached in each condition, not only for digitally-enabled unicorns, but also for unicorns in general. The results show relevant differences between the levels needed for these outputs. For example, knowledge creation and dissemination seem to be more important to boost digitally-enabled unicorns rather than unicorns in general. Thus, policymakers should consider specific levels of the conditions to optimize resource allocation.

The integration of culture and tourism is conductive to the realization of urban-rural integration and rural revitalization. Taking 16 typical traditional villages in Beijing as cases, this study proposes an evaluation system and influencing factor model for the integration of culture and tourism in traditional villages. Based on the TOPSIS model supported by the entropy method, the level of culture and tourism integration in traditional villages is analyzed. Moreover, we discuss the main factors influencing the integration of culture and tourism in traditional villages and their paths by using fuzzy-set qualitative comparative analysis (fs/QCA). The results can be summarized in four main areas. (1) The integration of culture and tourism in traditional villages is a dynamic process that continues to promote the comprehensive revitalization by deepening resource integration, advancing product cultivation and strengthening industry functions. (2) There are obvious differences in the development levels of the integration of culture and tourism among the case villages. Specifically, the levels of each village in the four dimensions present the characteristics of differentiation and imbalance. (3) No single factor can capture the necessary and sufficient conditions for the integrated development of culture and tourism. (4) There are three paths influencing the integration of culture and tourism in traditional villages, namely, the mature development path, the rapid development path and the progressive development path, which correspond to their respective combinations of influencing factors. The results of this study can provide theoretical inspiration and scientific guidance for the urban-rural integration and rural revitalization of traditional villages from the perspective of the integration of culture and tourism.

Although corporate social innovation studies in developing countries acknowledge the importance of firm resources and capabilities for attaining social goals, they overlook the way in which these interact with broader institutions to generate successful outcomes. We address this gap by exploring the relationship between firm resources-capabilities and institutions that is conducive to meeting both business and social interests in developing countries. By employing a fuzzy-set qualitative comparative analysis of corporate social innovation projects performed by joint ventures of Dutch SMEs and their local partners in developing countries, we show that firm resources and/or capabilities complement strong institutions in these countries. Corporate social innovation can also be facilitated by firm capabilities in running highly legitimate projects that substitute institutional voids in these economies, attesting to multiple paths that corporations can take to achieve social innovation.

A study was conducted to identify the closest possible contributors to human behavior during sensory evaluation of fortified yogurt. Following a numbers-only method, sensory scores (1-9) were assigned to four Attributes - Color, Taste, Texture and Flavor by the panel members. For the first time, set theory was used to identify a subset of the Attributes that are primarily responsible for the sensory acceptability of yogurt. fs/QCA (fuzzy set Qualitative Comparative Analysis) is an open software developed by Ragin and Davey that uses all data points singly and in combination to identify influence on Outcome. The technique gave a solution that the combination of Taste, Flavor and Texture had approximately 90% consistency with the consumer choice. Further, a parsimonious solution identified Taste as the most important contributor to sensory acceptance of yogurt. Such results would be helpful in guiding cost-effective formulation and production of foods.

As an energy-intensive industry, the aviation sector’s carbon emissions have drawn significant attention. Against the backdrop of the “dual carbon” goals, how to enhance the carbon emission efficiency of airlines has become an urgent issue to be addressed for both industry development and low-carbon targets. This paper constructs an evaluation system for the carbon emission efficiency of airlines and uses the SBM-DDF model under the global production possibility set, combined with the bootstrap-DEA method, to calculate the efficiency values. On this basis, the fuzzy-set qualitative comparative analysis method is employed to analyze the synergistic effects of multiple influencing factors in three dimensions: economic benefits, transportation benefits, and energy consumption on improving carbon emission efficiency. The research findings reveal that, first, a single influencing factor does not constitute a necessary condition for achieving high carbon emission efficiency; second, there are four combinations that enhance carbon emission efficiency: “load volume-driven type”, “scale revenue-driven type”, “high ticket price + technology-driven type”, and “passenger and cargo synergy mixed type”. These discoveries are of great significance for promoting the construction of a carbon emission efficiency system by Chinese airlines and achieving high-quality development in the aviation industry.

It is of great significance to exert the driving force of digitalization on the creative transformation and innovative development of ethnic traditional sports culture to accelerate the construction of a sports power and a cultural power. The study uses the construction activity data of ethnic traditional sports programs in 50 recreational regions as a case study to construct an analytical framework based on the technology-organization-environment (TOE) theory. After gathering 235 pieces of data, the study narrows down the factors that lead to the digital transformation of traditional ethnic sports programs. It then uses fuzzy-set qualitative comparative analysis (fs QCA) to look at the impacts of five factors that lead to the digital transformation of traditional ethnic sports programs: innovation investment, digital facilities, government support, enterprise integration, and teaching and learning digital intelligence. Using fuzzy set qualitative comparative analysis (fs QCA), we examined the group effects of five antecedent conditions, namely, innovation investment, digital facilities, government support, enterprise integration, and digital teaching, on the digital transformation of ethnic traditional sports. The study found that innovation input and digital facilities have significant time effects on the digital transformation of traditional ethnic sports programs and that a single variable does not constitute a necessary condition for digital transformation. Based on the results of the study, a development strategy for the digital transformation of ethnic traditional sports programs oriented towards martial arts training is proposed.

Improving logistics efficiency is a central goal in the green transformation of logistics. However, traditional efficiency measurement approaches fail to distinguish the respective impacts of energy conservation efficiency and emission reduction efficiency on overall green logistics efficiency. Thus, based on the NDDF-DEA, this study develops a new logistics efficiency evaluation model, which incorporates the energy structure. The model separately measures overall logistics efficiency, energy conservation efficiency, and emission reduction efficiency. Empirical results show that overall logistics efficiency reaches its highest level when energy conservation efficiency and emission reduction efficiency are aligned. In contrast, a gap between energy conservation efficiency and emission reduction efficiency often leads to lower overall efficiency. The proposed model introduces a new approach to evaluating green logistics efficiency and highlights that emission reduction could be a critical, limiting factor in the green transformation of logistics. In order to identify high-efficiency development pathways for the logistics industry, this study employs fs-QCA to explore four distinct configurations under multiple influencing factors. The results provide valuable insights and policy implications for governments and enterprises aiming to advance the sustainable transformation of logistics.

Digital transformation, organizational resilience, and agility are now becoming key to meeting the competitive challenges of modern organizations. It is no surprise that digital transformation and digital technologies have also begun to significantly impact the energy industry, moving towards improving the sector’s profitability and efficiency. However, to move the difficult process of digital transformation in today’s dynamically changing environment, organizations, including those in the energy sector, need to build organizational resilience. Nevertheless, the relationship between digital transformation and organizational resilience has not yet been explained in a satisfactory and sufficient manner. Focusing on the level of digital transformation, and more precisely within the two dimensions of digital maturity, i.e., digital intensity and transformation management intensity, as well as based on the perspective of dynamic capabilities, this study developed a configurational framework and proposed a theoretical model to study the equifinal paths through which digital transformation and dynamic capabilities influence organizational resilience in energy sector companies. Based on a fuzzy set qualitative comparative analysis (fs/QCA) conducted on selected companies in the energy sector, i.e., Polish CHP plants, the relationship among digital transformation, dynamic capabilities, and organizational resilience was investigated. The results show that a high level of organizational resilience is possible to achieve through two main paths based on the dominance of dynamic capabilities and the dominance of digital maturity. The results show that a high level of organizational resilience is possible to achieve through two main paths based on the dominance of dynamic capabilities and the dominance of digital maturity. The study found that digital maturity can significantly influence CHP resilience. Moreover, the transformation management intensity is strongly related to high organizational resilience. The paper concludes by describing theoretical and practical implications, as well as research limitations and prospects for future research.

To explore the most desirable pathway for a successful local energy transition, a fuzzy-set qualitative comparative analysis was conducted on 16 regional cases in South Korea. We developed four propositions based on previous studies and theories as a causal set. Based on the South Korean context, we selected the solar photovoltaic (PV) generation and solar PV expansion rate as barometers for measuring the success of a local energy transition. Our analysis highlights the importance of the International Council for Local Environmental Initiatives (ICLEI) membership (network), local legislation, and the environmental surveillance of locally-based non-governmental organizations (NGOs). The implications of this study will provide insights for developing or newly industrialized countries where an energy transition is underway.