The role of big data in digital transformation

Today, we are creating and collecting more information than ever before. All of this data comes from a variety of sources, including social media platforms, our phones and computers, health gadgets and wearable technologies, scientific tools, financial institutions, and more. When combined with big data, it gives businesses the opportunity to understand consumers better than ever before. Businesses are now using specific information as well as insights about customers and their behavior from the data they collect to transform themselves while simultaneously changing their sales and marketing strategies. Big data is at the center of all this. Digital transformation is an inevitable necessity and no organization or business will be safe. In the next few years, many existing businesses will be removed and new businesses based on digital technologies will be formed, and the digital economy will show off its true and complete meaning. Paying attention to human factors and their impact on the success of a digital transformation program is also very important. Correct leadership of the digital journey and change management and the culture governing a business are among the most important factors in the success of a digital transformation program. Undoubtedly, big data and its strategic management is one of the vital capabilities in achieving the success of a digital transformation program. Because the success of a business will be highly dependent on the level of intelligence regarding everything (from customers to competitors and the market situation, etc.). In this research, the dimensions and roles of big data management in digital transformations are investigated and the place of this technology among transformational technologies is examined and analyzed

Simulation of Sales Scenarios in Chain Store Marketing with a Futuristic Approach

This paper examines the simulation method as one of the future prediction techniques. In this article, while examining the concepts related to futuristic studies, one of the powerful tools in this field is introduced. Examining the concepts, how to form analytical approaches with simulation, and using it in futures studies are some of the most important topics in this article. What emerges from the study and application of this method in its use in marketing and sales is that in many approaches, simulation can be a useful tool especially that by determining specific scenarios, the decision proper capture is done. The simulation approach uses a precise analysis of the current situation to reflect the present view of the future, and in addition, by considering future probabilities and components, a proper analysis of present decisions and policies for the future can be made create. In this paper, while introducing simulation as one of the futures research approaches, its application in different fields is investigated and a case study of this technique in the field of retail queue systems is analyzed. The results show that the future of the market for chain stores is based on creativity, innovation and effective management relationship with customers

Identifying and Evaluating Smart City Marketing Parameters (Case study: Tabriz)

The main goal of this article is to investigate, identify, and rank the factors that influence the development of a sustainable smart city in Tabriz. The statistical population comprises all of Tabriz Municipality's managers, which number 257 at the moment. The data collected using a standard questionnaire of parameters from "A unique taxonomy of smart sustainable city metrics," which was randomly distributed. In addition, descriptive and inferential statistical techniques were used. Spss software is also used to analyze data using descriptive statistical methods and conclusions from sample tests and Friedman ranking tests, as well as to execute Econometric operations. The findings suggest that all of the variables affecting the improvement of a sustainable smart city in Tabriz have a direct and relatively strong relationship, with four variables affecting the marketing of a sustainable smart city. The socio-cultural parameter, which has an average rank of 3.80, the governance parameter, that has an average rank of 3.18, the second parameter, the environmental parameter with rank of 2.03, and the economic parameter, with rank of 1.00, all impact on the improvement of a sustainable smart city marketing

The problem of production-distribution under uncertainty based on Vendor Managed Inventory

In this paper, a problem of managed inventory by the vendor in the production-distribution supply chain is presented based on the scenario. The main purpose of presenting the model of maximizing producer profit in a three-level supply chain network consisting of various strategic and tactical decisions under uncertainty. Due to the nonlinearity and NP-Hardness of the problem, meta-heuristic genetic algorithms, Whale optimization algorithm and league champions algorithm have been used. The results of problem solving show the high efficiency of meta-heuristic algorithms compared to accurate methods in solving the above model. So that the maximum percentage of relative differences between the methods mentioned with GAMS is less than 1%.Also, by solving the sample problems in larger sizes, it was observed that the league champions algorithm has the highest efficiency in terms of achieving the optimal value of the target function in a shorter time than the other algorithms used, with a useful weight of 0.998

Optimizing The Transportation of Petroleum Products in A Possible Multi-Level Supply Chain

The goal of many supply chain optimization problems is to minimize the costs of the entire supply chain network. However, since environmental protection is one of the main concerns, the green supply chain network has been seriously considered as a solution to this concern in order to minimize its effects on nature. This article refers to the modeling and solution of a green supply chain network for the transportation of petroleum products in order to reduce the annual costs, considering the environmental effects. In this article, the cost elements of the supply chain such as the transportation costs of each petroleum product, operating costs, the cost of purchasing crude oil products and the fixed costs of building oil centers as well as the components of the environmental effects of the supply chain such as the amount of gas emissions and volatile organic particles produced by transportation options in the supply chain. considered green. Considering these two components (cost and environmental impact), we have proposed a multi-objective supply chain model. In this facility model, oil centers have limited capacity and at each level of the chain, there are several types of transportation options with different costs. To solve the problem, we have used two multi-objective particle swarm optimization algorithms and genetic multi-objective optimization algorithm with non-dominant sorting II with a priority-based decoding to encode the chromosome. Finally, we have used TOPSIS method to compare these two algorithms

Modeling and Solving Flow Shop Scheduling Problem Considering Worker Resource

In this paper, an uninterrupted hybrid flow scheduling problem is modeled under uncertainty conditions. Due to the uncertainty of processing time in workshops, fuzzy programming method has been used to control the parameters of processing time and preparation time. In the proposed model, there are several jobs that must be processed by machines and workers, respectively. The main purpose of the proposed model is to determine the correct sequence of operations and assign operations to each machine and each worker at each stage, so that the total completion time (Cmax) is minimized. Also this paper, fuzzy programming method is used for control unspecified parameter has been used from GAMS software to solve sample problems. The results of problem solving in small and medium dimensions show that with increasing uncertainty, the amount of processing time and consequently the completion time increases. Increases from the whole work. On the other hand, with the increase in the number of machines and workers in each stage due to the high efficiency of the machines, the completion time of all works has decreased. Innovations in this paper include uninterrupted hybrid flow storage scheduling with respect to fuzzy processing time and preparation time in addition to payment time. The allocation of workers and machines to jobs is another innovation of this article

Uncertainty analysis of tourism components in Tabriz

Purpose: Predicting the profitability of the tourism industry is always faced with uncertainties. Especially in the last two years, when the global pandemic conditions have added to it. The purpose of this study is to investigate and analyze the uncertainties in the components affecting tourism in Tabriz. Methodology: In addition to library studies, interviews with experts and professors in the field of tourism have been conducted in order to identify the components affecting tourism. Input factors in four areas of strategic planning, tourism potentials, regional conditions and infrastructure facilities and effective consequences on the problem in two economic areas and tourism consequences are categorized. Then, to explain the uncertainty of the obtained components, a fuzzy system is designed in MATLAB software. The system is based on an if-then rule approach with 84 rules that determine the relationship between input and output variables. Findings: Our findings from the fuzzy system model show that following the current situation, the tourism outcome of Tabriz will be normal and its economic consequences for the city of Tabriz will be inappropriate due to its historical and economic history. Also, changes in regional conditions and urban potentials do not cause much change in the tourism situation. The results of the model show that simply paying attention to the plan and infrastructure without considering other conditions does not create a suitable situation for tourism. That is, plans and infrastructure should serve the better development of urban places and potentials and the proper bedding of regional conditions. Originality/Value: Despite several years of capital and commercial center of Iran and high capabilities, Tabriz has not been able to achieve a good position in the Iranian tourism industry. Some of these factors are related to the uncertainty in plans and policies, etc. This article with this approach is an innovation in explaining the tourism conditions of Tabriz

Impact of the Tourism Industry Scenarios in Urban Economy: (Case Study Tabriz)

oai:ojs2.ijimes.ir:article/2Purpose: The tourism industry, especially in its urban dimension, has a special place in the economies of countries and its effects and consequences are evident in all dimensions. Cities are considered as tourist places due to their structure, texture and identity, and one of the components of economic development of cities and its result in countries is tourism. Methodology: To do this, in addition to library studies, interviews with experts and professors in the field of tourism and economics have been conducted in order to identify the components affecting tourism. Based on the research findings from statistical analysis based on SPSS and Mini Tab software, different scenarios for the development of tourism in Tabriz have been designed in accordance with Micmac software and based on them, the necessary solutions have been provided. To do this, by designing a questionnaire to collect data, by analyzing the information obtained, input factors in four areas of strategic planning, tourism potentials, regional conditions and infrastructure facilities and effective consequences on the problem in two economic areas. And tourism consequences are categorized. Findings: Using the results, probable, plausible and possible scenarios are identified and finally suggestions for economic development of tourism in Tabriz based on these scenarios are expressed. The results show that despite the many conditions and capabilities in the city of Tabriz, programs and infrastructure facilities are still not suitable for tourism development and, consequently, the prosperity of the urban economy in this area. Originality/Value: The main purpose of this study is to explain the impact and importance of the tourism industry in the flourishing of the urban economy and the purpose of its implementation in the metropolis of Tabriz is to study tourism scenarios in the future of Tabriz urban economy