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• Use Evolutionary Game to clarify the applicability of various resource allocations. • Expose the different key factors affecting the roles of resource allocations. • Breadth resource allocations have advantage when alliance environment is ambiguous. • Targeted resource allocations enhance the benefits if commercial prospects are clear. A lack of understanding regarding the roles and applicability of different resource allocations has become the underlying reason for the failure of resource efforts. Therefore, it is of important practical significance to examine the effects of different resource allocations and their impacts on the development of strategic alliances. Based on the development intentions of technological innovation cooperation and social capital accumulation, our study distinguished four patterns of resource allocation and viewed them as dynamic processes instead of unchanging decision results, using simulation from evolutionary game theory to explore the roles and applicability of various resource allocations by exposing their stability under different constraint situations. Our results indicate that, first, the randomly-oriented resource allocation has the highest probability of being unstable, while the knowledge-embedded resource allocation has the lowest probability. Second, randomly-oriented resource allocation can lead an alliance to become a pure technology or social alliance; relationship-oriented resource allocation is sensitive to opportunistic behavior, but more favorable to innovation diffusion; cooperation-oriented resource allocation is mainly affected by resource cost, and more suitable for firms with strong innovation intentions; and knowledge-embedded resource allocation is conducive to reducing the uncertainty and enhancing the configuration success rates. Third, the breadth of the resource allocation increases the probability of successfully configuring resources, and the strategic decision to switch from broad resource allocation to a targeted one may increase the extraneous benefits of firms when the development prospects are clear.
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Social innovation and high-quality agricultural systems are important for rural development. However, there is little information on methods for measuring the process and outcome of social innovation, particularly at the regional level. This study aimed to answer the research question: Which social innovation metrics can be applied to analyze rural development at the regional level? We carried out a systematic review of the literature on factors and indicators of social innovation, assessed the characteristics of social innovation in value-added agricultural production systems in developed countries, and proposed social innovation indicators for evaluating value-added agricultural systems in developing countries. Key elements of the process and outcome dimensions of social innovation were identified and used to generate factors, subfactors, indicators, and subindicators. The literature review showed that more research is needed on the outcomes of social innovation. Future studies should investigate the social transformations promoted by rural tourism and biodiversity valorization.
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The main purpose of this article is to introduce the Social Enterprise Model Canvas (SEMC), a Business Model Canvas (BMC) conceived for designing the organizational settings of social enterprises, for resolving the mission measurement paradox, and for meeting the strategy, legitimacy and governance challenges. The SEMC and the analysis that explains its features are of interest to academics concerned with the study of social entrepreneurship because they offer a new analytical tool that is particularly useful for untangling and comparing different forms of social enterprises. Also, it is of interest to social entrepreneurs, because the SEMC is a platform that can be used to prevent 'mission drifts' that might result from problems emerging from the mismanagement of such challenges. The arguments presented are grounded on scientific literature from multiple disciplines and fields, on a critical review of the BMC, and on a case study. The main features of SEMC that makes it an alternative to the BMC are attention to social value and building blocks that take into consideration non-targeted stakeholders, principles of governance, the involvement of customers and targeted beneficiaries, mission values, short-term objectives, impact and output measures.
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According to different authors, science and technology based companies could be considered as a crucial chain in transforming research and development investments into economic value. This could impact company’s business performance and at the same time the development of country’s economy. Moreover, according to today’s empirical research, extremely fast innovation and technology development all over the world has a different effect on separate industries. There is a lot of academic literature where science and technology based company environment assessment issues are described, however, there is a lack of assessment methods and/or ratios/indicators, which show how the company is science, innovation and technology based and even how to identify such kind of company. This article is divided into structural parts, reflecting: R&D environment analysis based on the case of Lithuania; academic literature overview regarding science and technology based company’s environment analysis; definition of S&T based company economic/financial assessment ratios. After the analysis, a list of ratios/indicators were presented, which empower to identify and/or asses such kind of company. Data availability was the core factor in these indicators creation processes. Research methods used are based on systematic literature analysis, mathematical statistics methods, logical comparative and generalization analysis.
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