Background and Objectives: Today, the creation of shared value between institutions, organizations and businesses is one of the important factors of economic growth and business development and improving stakeholder relations. Therefore, this study aimed to design and validate a tool to measure shared value creation in technology businesses with a practical purpose. The main goal of the researcher in the present study was to answer this question: what are the dimensions of the Common value creation evaluation tool for technology businesses? The study further attempted  to design and validate psychometrics co-value creation tools for technology businesses.Methods: The research adopted a mixed method (grounded theory). Qualitative statistical population consisted of CEOs and board members in the field of information technology and technology businesses and new technology-based businesses. Through purposeful sampling method in accordance with the law of saturation of opinions, 14 people were selected. Statistical community in the qantitative part included more than 2773 companies active in the information technology industry, which are available on the website (www.ictkey.ir) and, consequently, the same number of top and senior managers; Also, due to lack of accurate transparency of information about the statistical community and considering the sample size formula without a statistical population in terms of proportion of 408 first, second and third tier managers working in the field of technology businesses, especially in the field of IT&ICT and new areas of technology, the public and private institutions or companies in Tehran were included by simple random sampling. The primary tool was extensive study of theoretical foundations, previous research, related articles and interviews with experts, which eventually led to the design of the initial questionnaire. Then, face validity and quantitative and qualitative content were examined and its reliability was determined by Cronbach's alpha method and combined reliability with a value above 0.7. Finally, the confirmatory factor analysis of the mentioned tool was confirmed using SPSS21 and Samartpls3 software.Findings: Findings indicate that in formal and quantitative validity content, the effects score of items less than 1.5 and content validity ratio less than 0.62 and content validity index less than 0.79 were removed, which included categories such as internal and external stakeholders, mental integrity and agreements, social psychology, resources and benefits, foresight & futurism, win-win cultural feature, analysis, initiation and pioneering. The results of confirmatory factor analysis test showed that the dimensions of shared value creation include 12 dimensions describing: interactive processes, technology performance/ functionality, customer focus, sustainable value, co-creation requirements, value creation, culture, decision making, economics, value learning, Policies and rules and regulations, opportunities and indicators include 28 components such as needs assessment/needs building, participation and production of shared value, satisfaction and indexable, operation of smart tools/tools, paradigm/technological view, customer, service-based, Based on continuous processes, and model and strategy, social and legal areas, infrastructure, information acquisition and sharing, policy/governance, value generation and absorption, stimulus, benefit sharing, cultural variable, online and up-to-date proposing system, financial, optimal consumption, investors, defining and applying the concept of value, university and higher education, fostering creative manpower, protecting intellectual property, government support policies, motivating and brainstorming individuals, creation opportunities.Conclusion: In evaluating the validity of the structure, the factor load value of all items, appropriate values above 0.4, the reliability of both criteria (Cronbach's alpha, combined reliability), all dimensions above 0.7, the mean extracted variance and all dimensions greater than 0.5 were obtained and approved. Finally, the findings of this study indicated that the designed tool included 12 dimensions and 28 components that had appropriate and strong credibility and reliability and can be used to assess the joint co-creation of value in technological businesses for business excellence and development and creating a new business and economic environment.

This research has been done with the aim of designing a technology intelligence model in technological businesses with a Common value creation approach with a practical purpose and with a mixed-exploratory method. The statistical population in the qualitative section includes 14 CEOs and members of the board of directors of technological businesses in Tehran by purposive sampling method and in the quantitative section 385 technological business managers by simple random sampling method from January 2021 to July 2021 have been adopted. The data collection tool is semi-structured in the qualitative part of the interview and researcher-made in the quantitative part of the questionnaire. The face and content validity of the instruments were confirmed by experts and their structural validity was calculated with the mean variance extracted and the factor load, Cronbach's alpha and combined reliability were calculated and confirmed. Data were analyzed using Kolmogorov-Smirnov test, confirmatory factor analysis, Friedman ranking, Sobel and structural equations, and Samartpls3 and SPSS21 software. The results show 17 dimensions with 41 components for technology intelligence, 10 dimensions with 21 components for technology businesses, 12 dimensions with 28 components for joint value creation and showed that there is a significant and positive relationship between technology intelligence and technology businesses. This relationship of co-creation of value has a positive and significant effect as a mediator. The proposed model has a suitable and relatively strong fit from the experts

Currently, none of organizations can satisfy its stakeholders and customers by simply emphasizing its unique capabilities and assets. In fact, organizations work together and cooperate to provide distinctive products and services to customers. In this paper, the value network framework in banking industry is examined based on 33 banking experts’ opinions using one sample t-test to investigate the validity of model elements and using interpretive structural modeling (ISM) on the opinions of the same sample extracted from matrix questionaire, for analyzing the relationships among the elements. According to the research findings, the value network model of banking industry is drawn in four levels, in which, in the first level, "value creation in Banking value Network"; in the second level, "Bank Interactions with Stakeholders"; in the third level, "Bank as the Core of value Network", "Banks' Internal Conditions", "Banking Rules and Policies" and "Competition in Banking Industry"; and finally, "Bank Assets", "Changes in Banking Industry", "Macro-conditions in the Country", "Iran Banking Industry" and "Customer Needs and Characteristics" are placed. The results show that environmental and contextual elements, especially banks’ internal conditions, play the important role in value co-creation in banking industry.

The aim of current fundamental research is designing and explaining of metaheuristic framework of the value creation process. In this regard, in the first phase, based on the extensive, deep and systematic study of theoretical foundations, 9 dimensions, 27 components and 100 indicators identified as the elements of the above framework. In addition, in the second phase and after implementation of the two-phase fuzzy Delphi technique, according to experts' opinion, among the 100 identified indicators, 68 indicators were refined and confirmed and the appropriateness of dimensions and components confirmed. Finally based on the above two steps, metaheuristic framework of the value creation process. was developed and explained. In addition, in the second phase, in order to implement a fuzzy Delphi technique, in order to inform the experts, a sample of 30 selected university professors who have a research and writing background in the field of marketing, especially value creation, selected for interview. The results of this study have been helpful in solving theoretical gaps and developing knowledge in the context of the concept of value.