Policy for Fostering Entrepreneurship and Innovation in Creative Industries

This policy review describes the efforts to develop an ecosystem to boost innovation in creative industries. Since the 2017 re-imposition of the US-led sanctions on Iran, creative industries in the country emerged as a competitive advantage which could help lessen reliance on foreign countries and generate revenues through self-sufficiency. Accordingly, the Iranian government has invested in creative industries ecosystem to foster entrepreneurship and innovation. This policy review briefly touches on Iran's experiences in the implementation of the policies in this regard

Social commerce constructs and consumers' purchase intention from minimalist brands

The social media and online communities have established new platforms for e-commerce by engaging both consumers and corporations in producing new product or services. Moreover, individuals' interaction on the cyberspace has evolved e-commerce towards social commerce. On the other hand, business incorporations have found the use of minimalism application in designing, which removes unnecessary aspects, attracts more audience. Therefore, drawing on literature the authors propound a new adopted model to portray a more transparent vision of social commerce. To examine the relationships among the model constructs, an empirical study was organised for this purpose; a survey was designed. In doing so, structural equation modelling (SEM) methodology has been used with Smart PLS 3 software in order to confirm or reject assumptions in the present study and is employed to gauge the proposed model

Decision Making with Multi Criteria through Hierarchic Analysis Technique and its Effect on Customer Decision Procedure

Today, world competition situation is in a way that organizations need to increase the quality and increase the customer satisfaction, increase the benefit and decrease in outgoings, all at the sometime together. One side, goods prices increase and sever competition in market between goods, and on the other side, complexity in customers attitude and their vary expectations made disaster in management and share increase of the market. So, increase of effects on customer decision procedure as a new attitude in these situations born. Customer decision procedure is a kind of decision- making that is mode by the users. In general, decision-making is recognition processes through selection among different choices. How many criteria are used to analysis by the users? In addition, what kind of criteria do they consider? In addition, to what extent do they emphasize according to their favorites or goods importance. Hierarchic analysis procedure (AHP) is a decision-making with multi criteria that is suitable complex decisions, and consist of decision elements compare in where recognition of quality has encountered with problem. Ranking in decision choices of AHP is to solve the puzzle complexity AHP procedure by finding the specification through different choices, declare good buying decision

La influencia de la co-creación de valor en la lealtad del cliente, la intención de comportamiento y la satisfacción del cliente en los mercados emergentes.

One of the current major trends in the media industry is customer value co-creation. User participation can significantly affect news media organisations. This study examines the impact of value co-creation on the loyalty, satisfaction, and behavioural tendencies of media consumers, using a survey of users of My Fars news platform. The conceptual model of this study is developed and tested by using survey data from 283 users of the news campaign in Fars News and Structural Equation Modelling (SEM) is employed to simultaneously test the hypothesized relationships. The results show that user participation in value co-creation significantly affects their satisfaction, loyalty, and behavioural tendencies.Una de las principales tendencias actuales en la industria de los medios de comunicación es la cocreación de valor para el cliente. La participación de los usuarios puede afectar significativamente a las organizaciones de medios informativos. Este estudio examina el impacto de la co-creación de valor en la lealtad, la satisfacción y las tendencias de comportamiento de los consumidores de medios de comunicación, utilizando una encuesta de los usuarios de la plataforma de noticias My Fars. El modelo conceptual de este estudio se desarrolla y prueba mediante el uso de datos de encuestas de 283 usuarios de la campaña de noticias en Fars News y se emplea el modelo de ecuaciones estructurales (MES o SEM, por sus siglas en inglés) para probar simultáneamente las relaciones hipotetizadas. Los resultados muestran que la participación de los usuarios en la co-creación de valor afecta significativamente su satisfacción, lealtad y tendencias de comportamiento

Estrategias competitivas de conocimiento y comercialización de la innovación: un dofa unificado y un enfoque de proceso de análisis jerárquico difuso (fuzzy ahp)

Universities have shown a strong desire to commercialize researches and innovations. As a result, they are increasingly weaning themselves from public budgets. Commercialization has become the gateway for privatization, but the improper selection of commercialization strategies often results in the elimination of resources and time. The correct evaluation and ranking of strategies for the best resources is essential for the competitive performance of a university. The hybrid SWOT and Fuzzy AHP model adopted in this study provides a clear categorization of these university strategies. The first and relevant criteria as well as sub-criteria are identified using SWOT analysis. Fuzzy AHP tool is then used to evaluate and rank the internal and external factors that affect competition in Iranian universities. Based on the IE matrix, the growth and the process of building strategies are important priorities when considering commercializing. The results of this study revealed that academic startups, joint technology, joint research laboratories, strategic alliances, recruiting pundit and contracting with industry are the best strategies for Iranian universities.Las universidades han mostrado un fuerte deseo de comercializar investigaciones e innovación. Como resultado de esto, cada vez más buscan depender menos de los presupuestos públicos. La comercialización se ha convertido en la entrada a la privatización, sin embargo, la selección incorrecta de las estrategias de comercialización con frecuencia resulta en la eliminación de recursos y tiempo. La correcta evaluación y ranking de estrategias para los mejores recursos es esencial para el desempeño competitivo de una universidad. El híbrido entre el DOFA y el modelo proceso de análisis jerárquico difuso (Fuzzy AHP) adoptado en este estudio, provee una categorización clara de las estrategias de estas universidades. Los criterios principales y relevantes, al igual que los subcriterios, son identificados utilizando el análisis DOFA. La herramienta Fuzzy AHP se utiliza luego para evaluar y valorar los factores internos y externos que afectan la competencia en las universidades de Irán. Teniendo como base la matriz IE, el crecimiento y el proceso de construcción de las estrategias son prioridades cuando se tiene en cuenta la comercialización. Los resultados de este estudio revelan que los emprendimientos académicos, la tecnología conjunta, los laboratorios de investigación conjunta, las alianzas estratégicas, los expertos en reclutamiento y las contrataciones con la industria son las mejores estrategias para las universidades iraníes.

Marco de comercialización de conocimiento: factores que afectan a los países en desarrollo

Amid economic pressure and inclination for independent financing, universities tend to commercialize knowledge, a growing trend emerging as an entry gate for the privatization of scientific advancements and the development and transfer of technology from universities. Numerous studies have been conducted on the commercialization of knowledge. This article aims to integrate previous studies and develop a comprehensive model out of the factors cited in those studies. Therefore, 57 relevant articles were analyzed to identify the indices of knowledge commercialization within the framework of a systematic review literature guideline. In addition to guideline validate criteria, three university professors were interviewed for conceptual model include the subjects (contextual, individual, organizational, institutional, and environmental), and components.  En medio de la presión económica y la inclinación por el financiamiento independiente, las universidades tienden a comercializar el conocimiento, una tendencia creciente que emerge como una puerta de entrada para la privatización de los avances científicos y el desarrollo y la transferencia de tecnología desde las universidades. Se han realizado numerosos estudios sobre la comercialización del conocimiento. Este artículo tiene como objetivo integrar estudios previos y desarrollar un modelo integral a partir de los factores citados en esos estudios. Por lo tanto, se analizaron 57 artículos relevantes para identificar los índices de comercialización del conocimiento en el marco de una guía de revisión sistemática de la literatura. Además de los criterios de validación de la guía, se entrevistaron tres profesores universitarios para que el modelo conceptual incluyera las áreas (contextual, individual, organizacional, institucional y ambiental) y los componentes

Competitive strategies of knowledge and innovation commercialization: a unified swot and fuzzy ahp approach

Universities have shown a strong desire to commercialize researches and innovations. As a result, they are increasingly weaning themselves from public budgets. Commercialization has become the gateway for privatization, but the improper selection of commercialization strategies often results in the elimination of resources and time. The correct evaluation and ranking of strategies for the best resources is essential for the competitive performance of a university. The hybrid SWOT and Fuzzy AHP model adopted in this study provides a clear categorization of these university strategies. The first and relevant criteria as well as sub-criteria are identified using SWOT analysis. Fuzzy AHP tool is then used to evaluate and rank the internal and external factors that affect competition in Iranian universities. Based on the IE matrix, the growth and the process of building strategies are important priorities when considering commercializing. The results of this study revealed that academic startups, joint technology, joint research laboratories, strategic alliances, recruiting pundit and contracting with industry are the best strategies for Iranian universities.Las universidades han mostrado un fuerte deseo de comercializar investigaciones e innovación. Como resultado de esto, cada vez más buscan depender menos de los presupuestos públicos. La comercialización se ha convertido en la entrada a la privatización, sin embargo, la selección incorrecta de las estrategias de comercialización con frecuencia resulta en la eliminación de recursos y tiempo. La correcta evaluación y ranking de estrategias para los mejores recursos es esencial para el desempeño competitivo de una universidad. El híbrido entre el DOFA y el modelo proceso de análisis jerárquico difuso (Fuzzy AHP) adoptado en este estudio, provee una categorización clara de las estrategias de estas universidades. Los criterios principales y relevantes, al igual que los subcriterios, son identificados utilizando el análisis DOFA. La herramienta Fuzzy AHP se utiliza luego para evaluar y valorar los factores internos y externos que afectan la competencia en las universidades de Irán. Teniendo como base la matriz IE, el crecimiento y el proceso de construcción de las estrategias son prioridades cuando se tiene en cuenta la comercialización. Los resultados de este estudio revelan que los emprendimientos académicos, la tecnología conjunta, los laboratorios de investigación conjunta, las alianzas estratégicas, los expertos en reclutamiento y las contrataciones con la industria son las mejores estrategias para las universidades iraníes

Consumer Knowledge Sharing Behavior and Consumer Purchase Behavior: Evidence from E-Commerce and Online Retail in Hungary

The twenty-first century has been full of fundamental changes in consumers’ behavior patterns, especially with the use of diverse social media knowledge-sharing platforms. Therefore, companies have highlighted the significance of knowledge sharing and the importance of social network use in purchasing processes. Accordingly, his paper tries to reveal how consumer purchase behavior (CPB) can be affected by consumer knowledge sharing behavior (CKSB) and the moderating role played by value co-creation dimensions, which are citizenship behavior (CB) and participation behavior (PB), within a sustainable e-commerce field. To test our hypotheses deducted from the literature review, we opted for the PLS-SEM method. We also employed other innovative approaches, such as the IPMA matrix, MAICOM test, FIMIX approach, and CTA analysis, to evaluate the outer and inner model. Our statistical population covered individuals living in Hungary with at least one online purchase involvement. We distributed the questionnaire via various online platforms and, finally, 433 completed questionnaires were prepared for analysis. The results showed that CPB, CB, and PB are positively influenced by the CKSB. However, the link between CPB and CB was not confirmed. As for the moderating role of gender, the permutation test was applied to compare male and female groups and see the difference between them. With a focus on CKSB, this study contributes to the success of international marketing strategies to attain higher competitive advantages

Startups and Consumer Purchase Behavior: Application of Support Vector Machine Algorithm

This study evaluated the impact of startup technology innovations and customer relationship management (CRM) performance on customer participation, value co-creation, and consumer purchase behavior (CPB). This analytical study empirically tested the proposed hypotheses using structural equation modeling (SEM) and SmartPLS 3 techniques. Moreover, we used a support vector machine (SVM) algorithm to verify the model’s accuracy. SVM algorithm uses four different kernels to check the accuracy criterion, and we checked all of them. This research used the convenience sampling approach in gathering the data. We used the conventional bias test method. A total of 466 respondents were completed. Technological innovations of startups and CRM have a positive and significant effect on customer participation. Customer participation significantly affects the value of pleasure, economic value, and relationship value. Based on the importance-performance map analysis (IPMA) matrix results, “customer participation” with a score of 0.782 had the highest importance. If customers increase their participation performance by one unit during the COVID-19 epidemic, its overall CPB increases by 0.782. In addition, our results showed that the lowest performance is related to the technological innovations of startups, which indicates an excellent opportunity for development in this area. SVM results showed that polynomial kernel, to a high degree, is the best kernel that confirms the model’s accuracy