فصلنامه پژوهش های مدیریت راهبردی
پیاپی 77 (تابستان 1399)

Achieving success by an organization and creating value for a long time depends on having an efficient business model in different periods of business cycles. This adaptation to the business model requires the capabilities that need to be created in the organization. The development of these capabilities helps organizations to overcome the inflexibility of their active business model and implement the change process in a systematic and structured way. For this purpose, Businesses must constantly monitor their environmental forces and adapt themselves to these changes to stay competitive. The purpose of this study identifies the dynamic capabilities to adapt and change the organization's business model. For this purpose, the ICT industry has been studied and using Multi grounded theory, data analyzed from systematic literature review over the past 15 years, and interviews with 18 industry experts, which are improbably and purposefully selected using the snowball method. Finally, a model was developed in which the dynamic capabilities needed to adapt the business model of the ICT industry into the four groups of "External observation and evaluation", "Internal resource renewal", "External resource acquisition" and "Internal resource reconfiguration" have been conceptualized. Also, business model adaptation has been conceptualized into three groups: "value proposition adaptation", "value creation adaptation" and "value capture adaptation"

With the advent of the knowledge-based economy, human capabilities are recognized as the most important and lasting competitive advantage for organizations in today's turbulent environments; Therefore, today the attention to the knowledge and skills of human resources and empower these irreplaceable assets in organizations is very necessary and undeniable. The purpose of this research is to design a strategic model for empowering human capital using an interpretive structural modeling technique in this regard. By reviewing the literature review of the comparative method, two categories of empowerment factors were identified in the small industries of the province, Kohgeloyeh and Boyer Ahmad. In the following, after determining the levels of each of the factors as well as considering the final availability matrix, the final model of the interpretive structure of the drawing is rounded. The results showed that training and improvement variables, employee sharing in information and access to information, occupational enrichment, access to resources and equipment, monitoring and control, feedback, welfare facilities, replacement of holoca racy, knowledge management, salary management, participatory management, clarifying goals in the field of structural factors empowerment are the most influential and influential factors.

The present study has tried to provide an automated strategic model for classifying and exploring the opinions presented about a particular product, brand or service by using machine learning and survey techniques. Applying such a strategic model can be very effective in identifying the characteristics of brands and factor clustering between them and provide very valuable information in this regard. The results of this evaluation can be used in the development of marketing management strategies and quantitative or qualitative improvement of this factor. The model based on machine learning and deep neural network identifies related opinions, measures different characteristics at different levels of evaluation, and automatically categorizes opinions depending on the quality of the presentation. The output of this model is efficiently imported by using marketing capabilities to improve the sales of defined goods / brands / services.The data set used in this study is related to the collection of comments of Persian language users of the online sales site of Digitala and Holokish, which was uploaded as an educational-experimental (70% educational data and 30% experimental data) in three alternate models in order to identify And the classification of the various properties of the goods and services provided in the dataset has been used.The proposed model uses error functions to calculate the amount of computational error to evaluate the capability to be able to provide the degree of deviation from the correct values for its predicted information. For this purpose, the mean square error and the square root mean square error have been used. The results show the high accuracy of the model of evaluations and prediction of different conditions.

Banks are considered the countries’economic development engine through collecting small and wandering capitals in economic system and granting privilege besides providing banking and financial services through various strategies. Banking activities with any related strategy are done in community domain and banks can not be indifferent to their responsibilities toward the society in which they perform their activities. One of the most practical, and yet efficient new strategies of the banks is the careful and accurate use of CSR strategy. Banks can create a positive image regarding their brand and improve their economic function by means of their social responsibility strategy. In our country, cultural features consist of national and ancient customs and traditions while being Islamic and religious. Since the adopted strategy in banks in social responsibility domain have mostly western origin and have been compiled based on those societies’ features, then a new approach for the use of this strategy is necessary. This research has been done based on deep interviews with 10 university and banking system experts and fulfilling the theoretical saturation hypothesis.Via Tem Analaysis method, four main domains were extracted from the contents of the interviews which separately consist of 15 cultural features in clients’ domain, 14 cultural features in staff’s domain, 14 cultural features in community domain and cultural features in environment’s domain, totally 52 features were recognized so that with a new approach to be able to compile and implement the state banks’ social responsibility strategy with Iranian Islamic approach.

The purpose of this study is to expose a model for Individual entrepreneurs based on interpretive analysis of interviews approach. This research is in area Qualitative studies. For data collection, we used the semi-structured interview technique with 20 entrepreneurs locate in university science parks in Iran and the purposive sampling method is used. Validity was confirmed by participants' reviews and peer review by the opinions of seven academic experts and the reliability’ tools were evaluated using exact note in the interview and agreement method of two coders. the text of the interviews is coded and revised and based on open, axial and selective coding, behavioral intentions are brought to the surface. categories and associations and relationships were identified and this process led to the extraction of codes. Based on the findings of this study, entrepreneurs' behavior is classified in three stages: opportunity, creation and exchange and four levels of micro (action), base (activity), integration (duty) and Galactic (combination). As a result, the causal factors, environmental factors, and the stages and levels of behavior identified in this study contribute to the process of the formation of Individual entrepreneurship in Iran.

Teacher support strategy is among human behaviors that influences student's beliefs and development. But according to studies, despite the importance of this strategy in educational settings, there is no measure to identify its type and intensity. Therefore, in this study, based on the existing theoretical definitions, the operational definition of this concept was investigated and finally, there was an attempt to measure this concept by defining a questionnaire tool. For this purpose, the present study, using a descriptive-analytical cross-sectional approach, in the year 1398 surveyed the views of 1071 female teachers of physical education in 19 districts of Tehran. According to Cochran formula, 387 people were designated and randomly selected based on the classification of Tehran city. Validity of the implement was assessed by CVR and CVI for content validity, paired sign test for criterion validity and factor analysis for construct validity. Also, test-retest and Cronbach's alpha coefficient were used to assess reliability. Data analysis was one using SPSS and Smart PLS software. The results showed that the tool designed in this study has the ability to measure and typify teacher support strategy with acceptable validity and reliability based on 4 vectors and 10 pair-scale constructs.