Introducing the innovation performance model of knowledge-based companies: A meta-synthesis approach

Relying on the knowledge based economy of the developing countries is the escape route, and in the meantime, the hope for the innovation of the knowledge-based companies as one of the most important actors in this field has been hoped for. The aim of this study is to identify the determinants of innovation performance of knowledge-based companies using a meta-synthesis method. In line with this method, after filtering the articles, 140 researchers who directly addressed the issue of innovation performance of these companies finally entered the analysis stage in Maxqda software. After the integration step, 110 distinct codes are identified, and among the identified codes, codes; Absorption capacity with 10 references; Knowledge management with 9 citations, organizational networks with 8 citations and organizational learning with 7 citations had the highest number of citations in research texts, respectively. At higher abstraction levels, codes are in the form of 13 concepts and ultimately in the form of 7 topics (innovation context, government, networking, knowledge capital management, organizational dichotomy, competitive strategy and firm science, technology and innovation system (STI). Division and were presented in the framework of three-dimensional model.

Since companies are the main platform for innovation in a country, they are always considered as one of the most important pillars of economic growth in countries. This irreplaceable role has led policymakers to pay special attention to removing barriers to innovation and preparing the ground for corporate growth and prosperity. Therefore, recognizing the factors affecting the innovation performance of the enterprise is very important. However, despite a number of experimental studies to identify the specific characteristics of innovative companies In most of the research conducted in this field, researchers have only considered one or more limited factors to investigate their effects on enterprise innovation. More limited research has attempted to provide more general frameworks and models for classifying the many factors that can affect enterprise innovation, and the results do not converge. However, research is ongoing, and researchers are emphasizing the nature of innovation-related contexts (both internal and external contexts) and recommending models with contextual requirements that naturally describe the more limited power conditions. Theoretical foundations and background of innovation performance research findings by Wei and colleagues (2020) show that manufacturing companies with higher welfare than employees have better innovation performance, which is measured by the number of patents, and this positive relationship is mainly reflected in the quality of innovation and not in its quantity.
Using data from advanced Chinese manufacturing companies from 2016 to 2018, Douan et al. (2020) found that with the help of the panel data model, the innovation performance increased by increasing the potential surplus capacity and available surplus capacity. Advanced technology firms show an initial upward trend and then a downward trend. Conversely, by increasing the recoverable surplus capacity, the performance of innovation in these firms shows a downward trend and then a growing trend. In addition, the mediating role of adsorption capacity variable in this study has been tested. The findings showed that the excess capacity available could affect the innovation performance of manufacturing companies with advanced technology through the realized (actual) absorption capacity.

The present research is analytical-descriptive in terms of the research method and the research data are collected and analyzed using a Meta synthesis method. The statistical population of the present study is all research published in reputable domestic and foreign scientific databases that have been surveyed based on keywords defined to achieve an example that leads to theoretical saturation. Thus, the sampling method in this study was theoretical sampling. The main steps of the transcendental technique from the point of view of Sandlowski and Barlows (2007). Findings and presentation of research model In the final stage of the analysis, the results of the analysis and the extraction pattern are presented. As mentioned, in this study, 13 concepts and at a higher level, 7 categories were identified as determinants of innovation performance of knowledge-based companies and their quality test was also confirmed. In this step, the resulting research model is presented at the level of topics (categories) and with the expansion at the level of concepts. Due to the compatibility and semantic and conceptual compatibility of the extracted categories with the Mirzaei three-branch model, therefore, the proposed model is presented in the form of Figure (2). In the proposed model, 7 identified issues are shown separately in three branches (texture, structure and behavior). Innovative contextual context with two concepts (internal contextual factors and external contextual factors) in contextual context; Government issues with the concept (macro policy) and networking with the concept (networking and open innovation) in the branch of structure, and in the branch of behavior; Knowledge Leadership Intellectual Capital with Concepts (Strategic Management of Knowledge, and Leadership and Management of Intellectual Capital) And the firm's science, technology, and innovation systems are embedded in concepts (innovation management, research and development management, and strategic management of technological capabilities.

In the present study, all published research was searched until 2020. Finally, 140 appropriate researches were selected as the analysis source and after the analysis process with Max Kioda software, 110 distinct codes were identified. Among these codes, absorption capacity with 10 references; Knowledge management with 9 citations, organizational networks with 8 citations, and organizational learning with 7 citations had the highest number of citations, respectively. The codes identified at the higher level formed the concepts that identified 13 distinct concepts. Among these concepts, strategic knowledge management with 16 codes was identified, as well as internal contextual and leadership factors and strategic management of intellectual capital with 12 codes had the highest number of codes. Eventually, concepts formed at a higher level of abstraction of subjects (categories). In this research, 7 categories were identified, which are presented in the final model of the research in the form of Mirzaei three-branch model.