Developing new business models: Logic of network value or cross-industry approach

The focus of the research is to develop recommendations of smart specialization (SS) for Ukrainian policymakers using European approaches. The authors revealed that the main SS projects are presented in such sectors as agri-food, industrial modernization and energy. More than 12 EU countries were the plot for conducted analysis of SS, as a result of which the level of activity of each country was determined. The creation of consortiums, including SMEs, associations, universities and other participants, disclosed the successful way of SS realization. The structure of SME’s innovative potential in Ukraine was identified underlining their main characteristic features like types of innovations and innovative activity, differentiation according to enterprise size, their regional distribution. The authors explored lack of innovations on regional and national level and significant territorial disparities, which could be eliminated through policy implementation of regional SS. The existing legislative norms for possibility of SS implementation in Ukraine were analyzed due to correspondence with the EU ones. The analysis provides the opportunity to consider them only as general framework documents without any action plans and sectoral prioritization at all. The weak points of these law documents are emphasized. As a result of research, the authors developed recommendations presented by direct action plan for Ukrainian policymakers, which include such activities as underlining key priorities (especially ICT applicability in every SS project) and their correspondence with the EU ones; eliminating regional imbalances by focusing on innovation development and reorientation of some regions according to SS priorities; respecting regional existing capacities; providing organizational mechanism for cooperation of stakeholders and financial mechanism for SS support through the EU structural funds.

The rapidly changing business climate and competition that has been getting stricter demand companies to have a proper strategy to grow and sustain their business. The objective of this quantitative study is to analyze the benefits of innovation in business strategy to create a competitive advantage for micro, small and medium enterprises (MSME). Inferential statistical analysis was performed on three mediating variables: people innovation, process innovation, and product innovation, in their involvement in business strategies as an independent variable, against competitive advantage as a dependent variable. Twenty-nine MSMEs in Indonesia were used as a sample of this study to examine four hypotheses. Thirty indicators of five variables were transformed into 50 questions in a Likert-scale questionnaire distributed to selected respondents using purposive sampling. The results of the T-test show that business strategy has a significant effect on competitive advantage, which means that business strategy without innovations creates only 20.2% of its competitive advantage. On the other hand, Sobel test results demonstrate that innovations significantly mediate the influence of business strategies on companies’ competitive advantages. Finally, product innovation potentially increases the competitive advantages by 53.1%, followed by process innovation and people innovation by 47.2% and 44.5%.

Acknowledgment
The author would like to express special gratitude to the Department of Industrial Engineering at Universitas Kristen Krida Wacana, who supported this investigation, as well as all participating MSMEs. This study received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

This study studies social entrepreneurial competencies, social values, and transformational leadership. They are a requirement during the COVID-19 pandemic. It arises to find out the effect of social entrepreneurship on social values and the influence of transformational leadership in memorizing the influence of social entrepreneurship on social values with a total of 200 respondents as social entrepreneurship leaders who have been announced in Indonesia. This study uses a quantitative method with a structural equation model (SEM) analysis tool in AMOS software. SEM analysis in this study uses the moderating SEM method with a mixed-methods approach. Data analysis has been carried out through data processing. The values obtained mean that higher social entrepreneurship will increase social value by 9.4%; if transformational leadership increases, a significance value of 0.85 is obtained. This value is greater than 0.05. It is proved that the role of social entrepreneurship fosters innovative abilities, proactive development, and the courage to take risks for the people in Indonesia and the impact of social values fosters social recognition, responsibility, and contribution to the economy with attitudes with potential transformational leadership behaviors as well as inspirational motivation, intellectual stimulation, and consideration of the community.

Acknowledgments
The author appreciates the contribution of all co-authors in preparing the data set.