One of the challenges for international companies is to manage multicultural environments effectively. Cultural intelligence (CQ) is a soft skill required of the leaders of organizations working in cross-cultural contexts to be able to communicate effectively in such environments. On the other hand, organizational structure plays an active role in developing and promoting such skills in an organization. Therefore, this study aimed to investigate the effect of leader CQ on organizational performance mediated by organizational structure. To achieve the objective of this research, first, conceptual models and hypotheses of this research were formed based on the literature. Then, a quantitative empirical research design using a questionnaire, as a tool for data collection, and structural equation modeling, as a tool for data analysis, was employed among executives of knowledge-based companies in the Science and Technology Park, Bushehr, Iran. The results disclosed that leader CQ directly and indirectly (i.e., through the organizational structure) has a positive and significant effect on organizational performance. In other words, in organizations that operate in a multicultural environment, the higher the level of leader CQ, the higher the performance of that organization. Accordingly, such companies are encouraged to invest in improving the cultural intelligence of their leaders to improve their performance in cross-cultural environments, and to design appropriate organizational structures for the development of their intellectual capital. ABOUT THE AUTHORSSaeed Nosratabadi is a Ph.D. candidate in management and business study and has published many research articles on different topics related to management and businesses such as human resource management, business model innovation, and marketing.Parvaneh Bahrami is a Ph.D. candidate in human resource management at the
Success in a business depends on different factors. One of these factors is design and implementation of a unique business model. This model is representation of a pattern commercializing innovations and ideas. Indeed, this model illustrates the profitability boundaries caused by innovations. Hence, this study was conducted to recognize the business model types used by Tehran's Tourism agencies. The main question of the study is what kinds of business model are used by Tehran's tourism agencies? The utilized framework to analysis the business models, in this study, comprises four dimensions service, target market, infrastructure management, and financial aspects. This study was conducted in Tehran's tourism agencies in 2014 (n=110). A questionnaire was administered for data collection. Hierarchical clustering using SPSS 19.0 used to analyses data and acquires the main purpose of the study.
The purpose of this study was to model the impact of mentoring on women’s work-life balance. Indeed, this study considered mentoring as a solution to create a work-life balance of women. For this purpose, semi-structured interviews with both mentors and mentees of Tehran Municipality were conducted and the collected data were analyzed using constructivist grounded theory. Findings provided a model of how mentoring affects women’s work-life balance. According to this model, role management is the key criterion for work-life balancing among women. In this model, antecedents of role management and the contextual factors affecting role management, the constraints of mentoring in the organization, as well as the consequences of effective mentoring in the organization are described. The findings of this research contribute to the mentoring literature as well as to the role management literature and provide recommendations for organizations and for future research.
The COVID-19 pandemic forced many organizations to move to telework and smart work (SW), and this practice is expected to continue even later in the postpandemic period. Hence, it is very important for managers and organizations to identify the motivating and deterrent factors in adopting smart work and plan to manage them. Therefore, the present study using an innovative methodology tried to identify and prioritize the factors influencing employee SW adoption. In the first stage, the conceptual model of the research was designed, inspired by the literature. In the next step, using structural equation modeling (SEM), antecedents whose effects on employee SW adoption were confirmed were identified. Finally, the output of the SEM model was considered as the input of the multilayer perceptron (MLP) model, which is an artificial neural network model, to determine the importance of each antecedent in the prediction of employee behavior. The present study provides quantitative empirical evidence that perceived value, institutional and technological support, perceived limited communication, and perceived cost are antecedents of employee SW adoption that are, respectively, important in predicting the behavioral intentions of employees in acceptance of SW. The findings of this study contribute to both the SW and the behavioral intention theory literature.
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