جستجوی مقالات مرتبط با کلیدواژه « directional » در نشریات گروه « مدیریت »

The present study aimed at developing a conceptual model as well as categorizing blockchain driving factors in promoting entrepreneurship. The method of study was qualitative content analysis and the main tool of the data collection was semi-structured interviews. Data analysis was performed using directional and summary hybrid content analysis techniques. The identified factors include 140 open source codes that were categorized into 6 main categories which, using MAXQDA software, were classified and a conceptual model was drawn. Kappa method was used to evaluate the reliability and quality control of the present study. The kappa coefficient, calculated by SPSS software, was 0.950 which is highly acceptable. The results show that the six identified components, driving blockchain's promotion of entrepreneurship, include economic, technological, political, legal, social and environmental. Given that blockchain technology is not yet mature enough and is being developed, the current stage is a good opportunity for business units to be able to mitigate potential risks by employing appropriate strategies and taking advantage of potential opportunities and create a lasting competitive advantage for their business. The findings of this study are expected to be key metrics to assist managers and entrepreneurs in the field of entrepreneurship.

The purpose of this research is to develop a conceptual model and categorize the prerequisites and consequences of green supply chain in the parts manufacturing industry. A comprehensive and indigenous model is not provided. The method of studying qualitative content analysis and the main tools of data collection are semi-structured interviews. Data analysis was performed with combined and concise combined content analysis technique. The identified factors include 29 open codes, which are inserted in the form of seven main categories, and at the end, using Maxqda software; classification and conceptual model were drawn. In order to measure the reliability of the present coefficient, the calculated Kappa coefficient by SPSS software was equal to 0.960, which is at the level of excellent agreement. The results show that 7 components identified in the prerequisites and consequences of the green supply chain in the parts manufacturing industry include; Supplier and purchase of green, green design and packaging, green production, green distribution and marketing, environmental management, education and research, reverse logistics. The components of education and research and reverse logistics have emerged as new components in this research. Today, global organizations have found in a competitive environment that improving environmental performance can differentiate them from other competitors. The Green Supply Chain combines environmental concerns with the concept of supply chain through improved collaboration and coordination of supply chain members.