مجله مدیریت کسب و کار
پیاپی 53 (بهار 1401)

The purpose of this study is to provide a structural interpretive model of human resource agility in government organizations. This research was applied in terms of purpose and was conducted with a combined approach. Data collection tools were semi-structured in-depth interviews and the statistical population included senior managers of government agencies, 14 of whom were selected by purposive sampling (to achieve theoretical saturation). The model was validated based on the results of the interview, using interpretive structural modeling, design, and its validity and reliability. The results led to the development of 5 levels of manpower agility. The first level - the most important level - related to the organizational performance variable, the second level was allocated to productivity and the third to perceptual skills, planning and contemplation. Communication, team and job skills were ranked at the fourth level and personality variables at the fifth level. This model can be an effective help in creating the necessary infrastructure to improve the level of human resource agility in organizations.

The purpose of this study is to identify the effective factors of technology capabilities on increasing innovation capacity for the development of home businesses. The research was applied research with a qualitative approach. The technique used for data collection, analysis and data analysis was content analysis. The statistical population is handicrafts (pottery, ceramics and hand-woven carpets) in the year 2019. After reviewing the literature of the subject, by compiling the interview guide questions, seventeen interviews were conducted using the in-depth interview technique with purposeful sampling of key informants using the snowball method. Research data was categorized and refined by linking between categories. As a result of 34 concepts of barriers and 17 concepts of drivers of innovation, increasing capacity respectively the importance of research and development components, knowledge acquisition capacity and increasing experimental skills as the most important capabilities with 14 sub-components, in the dimensions of innovation with priority- : Refining of raw materials, creative design, modification of production operations and market knowledge were identified.

Each steel company buys the raw materials it needs from the manufacturers in question, thus forming supply chains with network properties. Therefore, there is a need to conduct performance research to improve the performance of these chains. In studies, the study of specific structures in the supply chain has received less attention. In this research, we have tried to examine the network and how to evaluate its performance in the presence of uncontrollable, undesirable factors. For this purpose, network DEA models are proposed that evaluate the performance of the chain in the presence of uncontrollable inputs and outputs, undesirable output even in its internal structure. Then, 11 present steel companies, the corresponding chain of each of which has two stages, were evaluated by the presented models in 1398. The designed model was based on the network Data Envelopment Analysis of tailored the companies under study and their efficiency was calculated. Based on the results, one company under the first stage and one company under the second stage were recognized as efficient, and all companies had a total efficiency of less than one.

Intensifying competition among banks and increasing their risk, including emerging risks such as strategic risks, has a significant negative impact on the value of the bank. Therefore, the key to the survival of banks is to create the necessary capabilities to identify, analyze and react to them. .The purpose of this study is to identify effective strategic risk criteria in order to support the strategic goals of the banking industry and determine their effectiveness.In this regard, based on documentary studies and in-depth study of the literature and with the help of Fuzzy Delphi method and the opinion of 15 experts, risky areas in the banking industry, including seven groups of Operational risks, Accuracy, Environmental, Management, Strategy, Technology Information and Finances were comprehensively identified. In order to structure the relationships between strategic risk criteria, Interpretive Structural Modeling was used and by developing an integrated model to measure the effectiveness of the criteria in order to support the strategic goals of the banking industry. The results showed that the effectiveness of "customer satisfaction" criterion is better than other criteria and vice versa, the effectiveness of "investment risk assessment" criterion is weaker than other criteria.

The aim of the present study is to explore aspects of consumer behavior, with an emphasis on inbound and outbound marketing. From the qualitative point of view, the grounded theory method has been used. The statistical population of the present study in the qualitative section was formed by academic experts and in the quantitative section, "Consumers of consumer goods in Tehran" and the statistical sample of the quantitative section, the current research is 385 people. In the qualitative part of the present study, using open, axial and selective coding, an attempt was made to create the data obtained in 10 interviews to create a research process model.In the qualitative section, the research results are presented in the form of process and contextual models of consumer behavior with emphasis on inbound and outbound marketing, which consists of a structured model of semantic variables, inbound and outbound marketing, content effectiveness and social convergence of advertising.

Identify the risks and challenges of the blockchain technology maturity model with a data-based theory approachAccording to their business, using blockchain maturity models while identifying and resolving this technology's barriers and challenges can affect steps to achieve blockchain maturity. this research qualitatively presents a conceptual model in grounded theory. At First, the initial factors were extracted through reviewing the research background; then, by conducting semi-structured interviews with 12 blockchain technology experts, the data collected. challenges of the blockchain maturity model presented in three stages of coding: were given the research model. The reliability of semi-structural data has confirmed by Test-Retest and intra-subject agreement. data analysis show that structural risks refer to acceleration, change management, Organizational resistance and technical risks to new emergence, interoperability, scalability, and the right to be forgotten in privacy, legal threats to the rules and government of the and the conflict of interest and, financial risks, place lack of planning and incorrect allocation of investment have more emphasis.

Over recent years, business-to-business (B2B) firms have been growingly using digital content marketing to strengthen their relationships with customers. However, most companies disregard the importance of aligning the content marketing strategy with their competitiveness goals. Furthermore, no previous research has been performed to provide a comprehensive framework to implement content marketing in line with the firm’s competitiveness objectives. Hence, this research aims to theoretically contribute to content marketing literature by presenting a conceptual model for planning B2B digital content marketing strategy in line with the firm’s competitiveness goals. For this, a conceptual review was conducted. In light of our findings from this review, effective factors for implementing successful B2B content marketing were identified. Then, the main pillars of B2B content marketing in line with the firms’ competitiveness goals were extracted. Next, the conceptual model of the research was presented. Finally, the relationships between identified variables of the model were tested using the Partial Least Squares method in Smart PLS. Based on our findings, we argue that in order to implement effective digital content marketing in B2B contexts, it is essential to deploy an integrated approach that considers customers’ needs as well as the competitiveness goals of the firm.

The present study aimed to investigate the strategic impact on organizational development and entrepreneurial behavior with respect to the mediating role of transformational leadership. The present study is of the purpose type, applied research, also in terms of data collection, survey and cross-sectional type and correlational type. The statistical population of the study consisted of all employees of Iranian Industries Development and Renovation Construction (Mana) Company, in which 203 people were selected as a sample using Cochran's formula. The results of structural inhibition model showed that strategic intelligence has a positive and significant effect on organizational development, entrepreneurial behavior and transformational leadership. Transformational leadership also has a positive and significant effect on entrepreneurial behavior. But the impact of transformational leadership on organizational development was not confirmed. Also, strategic intelligence has a significant effect on entrepreneurial behavior and organizational development due to the mediating role of transformational leadership.

In recent years, the growth of social media and the increase in their use by customers, has made the media a tool for the company to communicate with consumers. The purpose of this research is to validate digital marketing based on marketing intelligence in Isaco. The research has been quantitative and descriptive-applied. The statistical population included all employees of Isaco and other affiliates in the field of marketing and sales. The statistical sample consisted of 340 people based on the rules of sample size in structural equations and randomly available methods. According to the research findings, all correlations had values less than 0.8, so the existence of multiple common linear relationships between variables is ruled out. The value of average variance extracted for the variables of this study is between 0.7759 and 0.5098, which is more than the minimum value of 0.5. Findings showed that digital marketing has a significant effect on marketing intelligence. It has a path coefficient of digital marketing variables and marketing intelligence which is 0.784 and T-statistic is 12.254. GOF index is 0.39, which indicates a strong fit of the model and validity.

The purpose of this article was to investigate the role of exchange rate fluctuations on private sector investment in housing in Tehran. For this purpose, statistical data for the period 1970-2020 based on the frequency of annual data and the Markov switching regime approach have been used. In general, the developments in the housing sector play an essential role in intensifying the fluctuations of prosperity and stagnation of economic activities. Fluctuations in the return on other assets, such as currency, will affect demand for housing. When a monetary shock occurs, it changes the opportunity cost of maintaining durable goods, including housing, by changing interest rates, and this shock is due in part to the demand for housing resulting from the demand for services. The result of this property affects the housing. The results of this study showed that the exchange rate in the two currency regimes of high and low fluctuations has affected the investment of the private sector in housing in Tehran. The results also showed that the stability of the regime with high fluctuations in exchange rate volatility is greater than the stability of the regime with low fluctuations in exchange rate volatility.

The purpose of this study is analyzing the effects of Sentimental tendencies and investor trusts and diversity on the level of investment of companies. The statistical population is the companies listed on the Tehran Stock Exchange by Systematic elimination sampling method and 128 companies during the period from 1390 to 1399 were studied. The econometric method in this research is the System of Simultaneous Equations (3SLS). Findings show that the effects of investor trust on the investment rate is positive and significant and shows that increasing investor trust will lead to increased liquidity with the market and increase prices and profits and thus increase investment. The results show that Sentimental tendencies in companies accepted in Tehran Stock Exchange on the level of investment are negative and significant and show that in the long run, emotional tendencies lead to volatile movements and sudden outflow of liquidity from the stock market and reduce investment in companies.

An era in which the survival of large companies is threatened by competitors and customers do not stay loyal to a brand for a long time and often change brands. On the other hand, the multiplicity of brands has caused people to be more exposed to strategies, advertisements and promotions related to brands, which has led organizations to explore in order to survive and gain more market share. Be more effective with their customers and consumers, manage and manage their brand relationships with consumers.In the present study,using one of the most comprehensive conceptual models available, we have investigated these factors affecting the impact of love and commitment to the brand on brand loyalty, willingness to pay more and word of mouth in choosing and buying a smartphone among Islamic Azad University students. In this research, structural equation method (multivariate analysis) SEM and smart-pls software have been used and Spss software has been used to measure descriptive statistics.The validity of the research is assessed through face, content and structural validity and reliability through Cronbach's alpha and combined reliability (CR). The statistical sample size was obtained from the table related to structural equations, which was a sample of 180 people

Presenting the corporate entrepreneurship process model in businesses active in the Iranian cellulose industryAbstract:Translation types Text translation Source text 1112 / 5000 Translation results The present study aims to provide a corporate entrepreneurship process model in businesses active in the Iranian cellulose industry in terms of explanatory purpose in terms of practical results and a mixed approach. Data were collected through a library study of available resources and semi-structured interviews with 20 Iranian cellulose industry experts who were purposefully selected and using the data theory method and three-step coding (re-axis -Optional) 259 open codes, 24 central codes and 5 selected codes were counted. The results showed that the central phenomenon (corporate entrepreneurship process) includes 9 steps of strategy, idea generation, market analysis, idea analysis, idea selection, idea modification, concept and construction, marketing and commercialization, and its causal preconditions, including Business competencies are human resource prerequisites, managerial competencies, market information drivers. Contextual factors including political-legal context, social context, and intervening factors including economic contexts and technical contexts were considered to be effective on strategies (human resource strategies, marketing strategies, knowledge strategies, network strategies), and the consequences of these strategies.