فصلنامه مطالعات مدیریت کسب و کار هوشمند
پیاپی 32 (تابستان 1399)

The increasing development of information and communication technologies and consequently the emergence of virtual teams has created important issues for managers. The purpose of this study is to investigate the relationship between trust and the effectiveness of virtual teams with the emphasis on knowledge sharing. The statistical population of this study is the employees of virtual activities in the form of virtual teams of Tebyan Cultural Institute affiliated with Islamic Advertising Organization. 40 virtual teams with 200 employees were selected and The data were collected by a questionnaire and Data analysis was also done through path analysis using Amos software. The results of the path analysis indicate that when the knowledge sharing variable is in a desirable state, the impact of trust components on the effectiveness of virtual teams increases.

Providing financial services on blockchain-based platforms as a new approach to financial markets has a lot of room for growth. This demonstrates the need to study and identify the drivers of users' attitudes towards using blockchain-based financial services. For this purpose, technology adoption models have been used. Using a combination of several technology adoption models, this research aims to study the factors affecting customers' intention to use financial services in blockchain-based platforms to determine what factors drive users to use them. For this purpose, first, by studying the literature, we have extracted the factors affecting customer behavioral intention to use financial services in blockchain-based platforms and on their basis, structural equations model has been developed. The results of the data analysis show that individual tendency to trust and structural guarantees directly affect initial trust and users’ initial trust also influences users' behavioral intention. On the other hand, technological features and task characteristics directly influence technology-task fit, and technology-task fit affects users' behavioral intention. Expecting performance also directly affects the behavioral intention of users. The results of this study show that the propensity to use financial services in blockchain-based platforms is due to a social need and even with some blockchain constraints users are eager to use financial services which are based on this technology.

Experienced people today are one of the most important assets of any organization. These people have acquired sufficient knowledge through years of experience and education as well as through various training courses. For this reason, one of the main concerns of many organizations is to use the knowledge of experienced retirees and transfer them to other people and employees of the organization. In this regard, the present study aimed to present a Framework for implementing knowledge management of outgoing employees of Ansar Bank. The present study is applied in terms of fundamental purpose and descriptive in nature. The sampling used in this study was simple random sampling with snowball sampling. The main basis for gathering information has been to conduct in-depth interviews with experts from the academic and academic community as well as specialists and managers of Ansar Bank to achieve theoretical saturation. A total of 19 interviews were conducted. After gathering information, the interview codes were analyzed. After discussing the totals obtained from the interviews conducted in the present study, the map of the totals obtained from this information was presented as a final Framework. The final Framework shows that the knowledge management of the departing Ansar Bank employees consists of 32 code and 8 concepts in two categories. Knowledge Management Emerging Personnel from Ansar Bank was formed in 8 concepts: knowledge transfer tools, enhancing engagement, processes, training, incentives, systems, information evaluation and knowledge storage and retention tools. It is recommended that Ansar Bank take each of these components and tools seriously and implement the practices introduced in this research step by step in order to successfully implement and improve its knowledge management status.

In recent decades, design thinking as a new approach to problem solving and innovation has attracted the attention of many researchers in different fields. Many organizations and individuals today are taking advantage of design thinking as they seek to use the skills and processes of designers to come up with solutions to complex problems or create processes that optimize results and improve conditions. However, there is no consensus in the field of research on the basic features, applications, and definitions of design thinking. To elucidate the knowledge of this field and conceptualize design thinking and its role as cognitive constructs in the entrepreneurial literature, this research has comprehensively reviewed 106 conceptual and empirical studies of a total of 2037 articles from 1985 to 2019. This study is a descriptive and systematic literature review. Identification of different conceptualizations of design thinking, tools for designing thinking, models discussed in this field, and its relation to entrepreneurship are the results of this study.

The aim of this research is to explain the scientific foundation and offer practical solutions for online purchase intonation based on assurance strategies by mediating role of trust in online stores. The research is applied from goal perspective and descriptive -correlative from data collection type. The statistical population is all people of Tabriz city who have had at least one Internet shopping experience. 384 samples were selected by random sampling. Standard questionnaires were used to collect data. The data were analyzed by structural equations modeling method with AMOS software.The research findings indicate, assurance statement has directly effect with path coefficient 0.4 and indirectly effect by the mediating role of trust with path coefficient 0.07 on online purchase intenation. Third party assurance has directly effect with path coefficient of 0.3and indirectly effect by the mediating role of trust with path coefficient 0.08 on online purchase intention. Also trust has a positive impact on online purchase intenation with path coefficient 0.37.Given the significant direct and indirect effect, trust plays a partial mediating role in the relationship between assurance strategies and online purchase intention. It is suggested that managers implement assurance strategies in online stores in order to gain more trust and online purchase intention.

This study addresses the security of information systems (ISS) as one of the most important issues in organizations and especially municipalities. Instead of exceptions, information security breaches have become a norm, and security of information systems can only be realized when employees completely accept this concept by changing their behavior in line with advanced information security systems. The model of this research is based on institutional theory. This two-way model has introduced organizational citizenship behavior (OCB) and counterproductive work behavior (CWB) in the process of verifying the security of the information system. This research also measures the impact of innovative culture on the information security system. The statistical population of the study consisted of Mashhad Municipal Information Technology experts and data collection tool was a questionnaire. The data support mainly the proposed research model and the results indicate the application of institutional theory in explaining the process of institutionalizing the changes in the security of the information system on the innovative culture of the organization, legitimizing and accepting those changes, and increasing organizational citizenship behavior (reduction of counterproductive work behavior) in employees Which, in the end, will increase the effectiveness of the security of the information system.

Nowadays, people use others' opinions on social networks for decision-making to purchase online products and services. Likewise, the companies which offer the products employ sentiment analysis of opinions of users and customers to adopt informed decisions and offer new products. Considering the high volume of the contextual data, conversion, and analysis of such data is a major challenge in e-commerce. Sentiment analysis is a modern approach in the extraction of opinions. The obtained information from sentiment analysis can have a considerable impact on the efficient selection of customers. In the present study, a model has been proposed for sentiment analysis of users' opinions for buying a cell phone in Digikala. This study is applicable to the objective aspect. The data includes users' opinions in Digikala. The statistical sample consists of opinions of cell phone users in Digikala. Supervised learning, as well as Python package, were utilized for analysis and implementation.  A model has been proposed for sentiment analysis of users' opinions. The results demonstrate that this model can classify users' opinions with an accuracy equal to 0.892. Similarly, the results reveal that users' opinions about ease of use, possibilities, and capabilities of the cell phone are positive and about purchase value to price, innovation, design and appearance, and quality of cell phones are negative. The proposed model can be implemented in e-commerce websites like Digikala and its output can be observed by users systematically. Finally, it can be led to inform decision-making for buyers and companies which offer products.

In the turbulent world of business,  Corporate entrepreneurship is a step into a market with high uncertainty. Therefore, companies need to have a good understanding of capabilities in a dynamic environment so that they can achieve the long-term profit with minimal loss. So, This study aimed to investigate the impact of dynamic capabilities on corporate entrepreneurship in the Communications Industry. This research in terms of its purpose, is applicable and in terms of data collection is descriptive and correlation research. The statistical population of the study was included of 350 managers, chief executives, senior experts of Hamrah Aval company and Irancell company. Also, for collecting data, a researcher-made questionnaire was used. Structural equation modeling was used to analyze the data and hypotheses. Finally, the finding of research show that the positive effect of dynamic capabilities on corporate entrepreneurship, and it was concluded that environmental perception capabilities, learning capabilities, integration capabilities, coordination capabilities, reorganization capabilities has a positive and significant effect on corporate entrepreneurship. Also, the environmental dynamism moderates the impact of dynamic capabilities on corporate entrepreneurship.In this way, whatever the amount of environmental dynamism increase, the relationship between the two variables of dynamic capability and corporate entrepreneurship will be stronger. Because this dynamics is a useful mechanism for responding to new competitive forces. Companies operating in highly dynamic environments are more innovative, risk-taking and proactive than those with less uncertainty and external pressures.

The purpose of this study is to identify the components of smart tourism industry in Iran through mixed method. In the qualitative section, in the qualitative section, the statistical population consisted of tourism industry managers. 13 depth interview was conducted. Data analysis was performed in the qualitative part by conventional qualitative content analysis method using MaxqDa software. In the quantitative section, the statistical population consisted of experts from travel agencies as well as tourists from these three cities. 390 respondents were selected by using Cochran formula and random sampling method Structural equation modeling with partial least squares (PLS) approach was used for data analysis.The results of confirmatory factor analysis showed that all observable variables were significant and confirmed at the 0.05 level. The results identified four components: smart governance, socio-cultural empowerment, development of using new smart technologies and comprehensive smart tourism services.