دانشنامه تحول دیجیتال
سال دوم شماره 3 (پیاپی 4، پاییز 1400)

The emergence of many problems in the global supply chain has accelerated the digital transformation in the food industry, but studies show that the rate of innovation and the use of new technologies in Iran's food and beverage industry is slow, and few studies have been conducted. The current research was conducted with the aim of reducing the gap between studies. For this purpose, the conceptual model of Herandi et al. (2022) was chosen as the basic model to identify and prioritize the maturity criteria of digital transformation capability. Also, for the first time, the fuzzy DANP technique was used to extract, determine the weights, and prioritize the criteria and sub-criteria of digital transformation maturity in this industry. The results showed that among the selected industries in Tehran province, infrastructure criteria, digital senior management criteria, and digital delivery leadership criteria were ranked first to third, respectively. Also, the criteria of digital leadership and senior management are effective criteria for infrastructure, especially digital culture. Sub-criteria of human, managerial, and technical infrastructures are also among the sub-criteria of influence and cause. Also, among the criteria of digital senior management, the sub-criteria of digital planning and guidance, environmental monitoring, and digital networking have the effect aspect, and digital coordination and actions have the cause aspect. Among the digital transformation leadership criteria, only the sub-criteria of digital resources are of the effect type, and the rest of the sub-criteria are of the cause type.

In order to know the effective and controlled nodes as well as the density of the two networks in order to influence the company and its control over the network and flow. Publishing information with the aim of promoting marketing and communication with customers. During a period of fourteen days, the information of the above networks, including tweets and the characteristics of related nodes, were extracted and refined online and directly using data mining software, and then three major indicators of social network analysis called special vector, betweenness centrality and density The networks were calculated and the results were analyzed and it was determined that the company's user account in the main network has the highest degree of control and influence But in the hashtag network, it is not among the effective nodes and has no control or influence on what is happening in the network. Also, the density of the main network is higher than the hashtag network, which indicates the higher speed of information flow in the main network. Despite the fact that the company's official user account is the most effective node in the main network, it does not use this influence effectively and efficiently for marketing activities. Also, there is no influence or control over the ongoing events in the hashtag network. In addition, the subsidiary accounts of the company as well as the cooperative sellers have a relatively influential role in the hashtag network.

Steganography is the science and art of hiding a message in images to secure the commercial or military information sent from one source to another. Comparative steganography methods for concealing the message pay special attention to the text of the image folders and hide the message by considering the conditions in the text of the clandestine image. The steganography and the steganalyst are also two opposing people, each of whom's strategy is determined by the other party's strategies. This is especially evident in comparative steganography. This article models and analyzes the strategies of two players from the perspective of game theory, considering a two-player game with a total of zero between a steganographer and an steganalyzer detective. In this game, Alice (steganographer) wants to hide a secret message of length k in a binary sequence (video folder) and Eve (steganalyzer) wants to determine if the secret message is in the images being transmitted in the channel. Is there a desired connection? In this model, without considering the limit for Eve's detection power, each player's Max Max strategies, along with the structural constraints necessary to balance the game, are presented, and at the end it is shown that the optimal strategy for Alice is a random adaptation strategy.

Digital transformation has been defined as the use of new digital technologies, such as mobile, artificial intelligence, cloud, blockchain, and Internet of things (IoT) technologies, to enable major business improvements to augment customer experience, streamline operations, or create new business models. This research examines how companies build dynamic capabilities for digital transformation. This research presents a model for creating dynamic capabilities for digital transformation in Astan Quds Razavi Endowment Productivity Foundation using structural equation modeling. The research results show that the creation of three groups of dynamic capabilities provides the basis for the organization's digital transformation. A) Digital Sensing capabilities including: (1) digital scouting, (2) digital scenario planning and (3) Digital mindset crafting. b) digital Seizing capabilities including: (1) strategic agility, (2) Rapid prototyping and (3) balancing the digital portfolio and c) digital transformation capabilities including: (1) Navigating innovation ecosystems, (2) Redesigning internal structures (3) improving the digital maturity of employees

The growing volume of information on the Web and the Internet has made difficult the process of deciding and selecting the information, data, or products needed for many web users. This study proposed a novel method to improve the performance of collaborative filtering recommender systems. The goal is to use deep feature extraction to provide more effective and desirable recommendations to the user. In the preprocessing step, the input data is first entered into the primary processing system and the feature values are normalized. Then, in order to perform more accurate calculations and reduce computation time, the size of the data is reduced using a deep belief network (DBN), while extracting deep features. Afterwards, using the collaborative filtering technique, the recommended items are offerd to the user. Finally, according to the system outputs in the recommendation to the user, the accuracy of the proposed items is evaluated. To evaluate the proposed method, a comparison of its performance on the real-world MovieLens dataset with basic methods has been used. Experimental results showed that the proposed method has better performance in terms of coverage and support than other compared methods.

A network-aware auction method for allocating resources in Turin computingabstract Grid computing is able to aggregate heterogeneous computing resources to support scalable applications in science, engineering, and commerce. Turin calculations are a set of consumers and resource providers; These institutions are usually independent and make autonomous decisions based on their own policies for resource allocation.In this paper, we introduce a network-aware continuous double auction method for the allocation of Turin resources; Where resources are considered as supply factors and users as consumption factors. In this approach, users and suppliers determine their bids based on parameters. And the network is considered an influential element in Turin. Which tries to allocate resources consciously from the network and based on the current state of the system. The simulation results show that the proposed method performs better than the environment in which the mentioned parameters are not considered .are not considered.