دانشنامه تحول دیجیتال
پیاپی 1 (زمستان 1399)

In a participatory economy, individuals lend, use, or lease assets to each other that are affected by various external and internal variables. The purpose of this study is to investigate the effect of privacy concerns on the users’ intention to participate in the context of a participatory economy with a mediating role of trust and comparative advantage. Users of the accommodation reservation platforms services were the statistical population in this study. Sampling was done easily. The data obtained from the distributed questionnaires were analyzed using structural equation modeling in Amos software. The reliability of the questionnaire was also confirmed by Cronbach's alpha in SPSS software. The results show that online privacy concerns have a significant direct effect on physical privacy concerns and perceived social advantage also have a significant direct effect on participation intention. The effects of online and physical privacy concerns on trust and the effect of online privacy concerns on perceived social and economic advantage have also been significant and inverse. It must be said that online privacy concerns affect the intention to participate in the residential services of these platforms through the impact it has on perceived social benefit. At the end, suggestions are presented according to the obtained results.

Using the Internet of Things (IoT) for intelligence of buildings and homes has posed many challenges. One of the main challenges in implementing IoT is the energy consumption of its equipment, so that leads to the short life time of equipment in networks like this. Various solutions have been proposed to achieve the goal of reducing energy consumption and increasing the life of nodes. The purpose of this study is to reduce energy consumption, increase the number of packets sent to the destination, increase the equipment life time in this type of network, and cover them more. To achieve this goal, the LEACH protocol is proposed instead of the probability distribution of fuzzy logic, in the cluster selection phase. The LEACH routing protocol is an organized one that distributes loads over sensor networks. In this protocol, nodes organize themselves into local groups, with one node in the group acting as the group leader. In this proposed method, a very small number of nodes are targeted in active mode for tracking, and the remaining nodes are switched to inactive (dormant) position. In this paper, the proposed method is compared with the H-LEACH protocol, which is the basis of tracking in important articles published exactly under the same conditions. Duo to boosting remaining energy in this method by 49.75% and reducing the sent packages by 36.44%, it is concluded that the proposed method performs better than the H-LEACH protocol in increasing the network life.

Data analysis has a fundamental role in decision making process and one effective way to do this is through data mining. In the field of health, by performing data mining on patients with acute conditions such as hemodialysis (HD), their future trends can be partially understood which helps to reduce the severity of their complications. Given that recent studies indicate an increased risk of stroke in HD patients, the aim of this study is to investigate a conventional surgical procedure in hemodialysis and its relationship with stroke. The method of the present study is the use of supervised data mining algorithms and with the focus on the "decision tree", which is one of the applied algorithms in the classification of variables and helps to identify the influential factors. The input data included 468 of hemodialysis patients who were studied over a five-year period and consisted of 324 females and 144 males. This study showed that the risk of stroke in patients whose vascular access surgery was performed by catheterization before fistula was 84.21%, while there was no significant relationship between the age of dialysis patients and their stroke, but in addition to catheter implantation, history of blood pressure or diabetes were also linked to stroke.

The main purpose of this research is to examine the impact of external reference prices on willingness to search, shop, and perception of transaction’s value in online and offline businesses while time limit, the market price dispersion, the type of discount tag, product involvement and shopping environment have moderator role. In terms of purpose, this research is practical and the methodology of that is quasi-experimental with 2*2*2*2 factorial designs. The study population included all Tehran consumers and the sampling method for selecting digital businesses’ consumers is simple random. After choosing online and offline businesses, the consumers were selected using available sampling. The data analysis approach for hypotheses tests have been done based on variance analysis using SPSS software. The results show that in the circumstance of low products and offline shopping environment involvement, Unbelievable reference prices are in terms of high time pressure, market price high dispersion, type of price Rial format increased tend to purchase, and perceived value of the transaction and reduced willingness to search.

In highly competitive and dynamic environment that digital businesses face, performance enhancement recquires trust development in businesses relationships to establish and maintain collaboration. This study investigates the effect of opportunistic behaviors on financial and non-economic performance and examines the mediating role of interpersonal and inter-organizational trust, commitment and investment in specific relationships. The research is applied in terms of purpose and descriptive-correlational in terms of data collection. The statistical population of the study is the businesses that use Varanger software. 384 employees of these businesses were considered as a statistical sample. The data collection tool was a questionnaire and the data collected with the questionnaire were analyzed using structural equation technique. Emos software was used to analyze the data. The results of the study hypotheses showed that interpersonal and inter-organizational trust in business relationships has a positive and significant effect on non-financial performance; Thus, striving to build trust can provide a solid foundation for building lasting relationships and collaborations with stakeholders.

Despite the advantages of implementation of safety management in construction projects, due to the lack of awareness for the requirements and lack of requirements for the safety management system as well as the absence of tools and new digital technologies such as BIM system at the design stage of projects, the system is still not being evaluated. For this purpose, this paper attempts to explore the applications of BIM system in order to meet the requirements of the safety management system in construction projects and the degree of conformity and integration of BIM system capabilities in line with the effectiveness of the safety management system. The research methodology in this study is quantitative and qualitative. The most important prerequisites for the establishment of the safety management system in the country's construction projects and the most important BIM capabilities to address these prerequisites and the effectiveness of the safety management system in construction projects categorized in eight main categories and 40 factors were introduced along side. The results showed that documentation of safety analysis topped the list above other factors by means of Friedman's test, and it was proved that the prerequisites for the occurrence of the collapse, the hight falling and the falling of objects and accidents with the machinery and fire planning, as well as the safety training in the site, can be achieved by BIM applications in projects.