American Journal of Business Management, Economics and Banking ISSN (E): 2832-8078 Volume 20, | January, 2024 P a g e | 257 www.americanjournal.org THE RELATIONSHIP BETWEEN USING ARTIFICIAL INTELLIGENCE METHODS IN DEVELOPING DIGITAL MARKETING AT THE OIL MARKETING COMPANY Researcher: Israa Abdel Hussein Issa, Imam Ja’afar Al-sadiq University, Baghdad, IRAQ Israa.abid86@gmail.com Dr. Hussein Muhammad Saad, American University of Culture and Education, Lebanon huosseinsaad@yahoo.com A B S T R A C T K E Y W O R D S The study aimed to demonstrate the relationship of the use of artificial intelligence in developing digital marketing at the Oil Marketing Company, by applying this study to the employees of the (SOMO) Oil Marketing Company, and on an innovation consisting of 120 people at the (SOMO) Oil Marketing Company in an intentional manner. The use was used Description Analytical, a statement regarding the variables of the study must be excluded, and it will be distributed to the colored figures of the study, and it will be compiled, analyzed, and the hypotheses for the study will be tested through the use of the statistical packages program (SPSS), where it has been communicated that: There is a statistically significant relationship between artificial intelligence in the development of digital marketing. There is a statistically significant relationship between the diversity in the use of social media in marketing in the development of digital marketing, and the existence of a statistically significant relationship between the diversity in digital advertising in the development of digital marketing, in addition to the existence of a statistically significant relationship between the diversity of after- sales services in The development of digital marketing, and the existence of a statistically significant relationship between the use of e-mail in the development of digital marketing. Artificial intelligence - marketing - digital oil marketing company. Introduction Technology is considered the best tool in our present world, which is constantly changing to meet the needs of the future, advance any society, and ensure the well-being and happiness of individuals (Hajjaj, 2021, p. 21). In light of the successive developments of modern technological means used in American Journal of Business Management, Economics and Banking Volume 20 January, 2024 P a g e | 258 www.americanjournal.org organizations, the organization no longer relies on the traditional use of needs in the workplace. Technology has easily made room for communication within organizations, and has worked to improve their management and work to upgrade and advance them towards a new and better institutional reality based on advanced technology, the most important of which is artificial intelligence. The great technical development contributes to the increasing role of artificial intelligence in the development of various sectors - including marketing (Al-Joboy, 2020, p. 26). Marketing based on artificial intelligence can contribute to improving brand positioning, the relationship with customers, and advertising, that is, in almost all aspects of marketing. Similar to the competencies that are relied upon in manufacturing and controlling quality errors (Al-Hawamdeh, 2019). Marketing with artificial intelligence is done by relying on artificial intelligence to collect customer and company data and use this data to implement things that a person or group cannot implement. Artificial intelligence can improve marketing campaigns and customer journeys, as well as attract, nurture, and convert potential customers into business customers (Al-Fagi, 2012, p12). Despite the technical progress in artificial intelligence methods, and its importance in developing the field of electronic marketing, and what artificial intelligence methods can provide in terms of collecting and classifying customer data (Bosnan, 2012, p14), identifying needs and creating effective means of communication that lead to quality marketing. Digital marketing in the (SOMO) oil company is the subject of the current study, as the researchers noticed the weakness of the electronic marketing methods in the company, and the lack of use of artificial intelligence methods, which confirms the importance of the study and thus the problem of the study appeared. Objectives of the Study The study aims to identify the relationship between the use of artificial intelligence methods in developing digital marketing at the Oil Marketing Company, through: -Learning about the relationship between the variable artificial intelligence and the development of digital marketing - Identify the relationship between the variable use of social media in marketing and the development of digital marketing - Identify the relationship between the digital advertising variable and the development of digital marketing -Recognizing the relationship between variable after-sales services and digital marketing development - Identify the relationship between the variable use of email and the development of digital marketing. The importance of studying -The importance of this study is due to the modernity in the use of artificial intelligence methods in general, and in digital marketing in particular, which makes it a focus of interest for the student and researcher, and the study aims to know its effects, aspects of its application, and aspects associated with it. Especially since artificial intelligence is one of the elements of the future of marketing in the present time. -The results of the current study benefit Oil Company in finding a modern way to develop its digital marketing. American Journal of Business Management, Economics and Banking Volume 20 January, 2024 P a g e | 259 www.americanjournal.org -The current study benefits researchers to benefit from the research point and develop their scientific research in the field of artificial intelligence and digital marketing. The problem of the study Based on what was mentioned in the introduction to the study regarding the narration of the importance of artificial intelligence and development in digital marketing, and what the researchers observed of the increasing interest in digital marketing in the field of marketing through reviewing published research and periodicals that dealt with the variables of the current study, and based on prior knowledge of the importance of the marketing process in companies. Which is used to increase the effectiveness and success of marketing, by exploiting time, and providing all interaction and communication procedures at all time periods, which can be achieved through means of artificial intelligence. Therefore, the problem of the study is to know the impact of means of using artificial intelligence in developing digital marketing at Oil Company in Iraq. The problem of the study can be represented by answering the following main question: What is the relationship between using artificial intelligence methods in developing digital marketing at Oil Marketing Company? Study questions From the main question that was posed above in the problem of the study, several sub-questions are branched out: -What is the relationship of the artificial intelligence variable in the development of digital marketing? -What is the relationship of the variable of using social media in marketing to the development of digital marketing? -What is the relationship of the digital advertising variable in the development of digital marketing? -What is the relationship of the after-sales service variable in the development of digital marketing? -What is the relationship of the variable use of email to the development of digital marketing? Study hypotheses The study hypotheses were formulated as follows: Main hypothesis: There is a statistically significant relationship between the dimensions of the means of using artificial intelligence and the development of digital marketing at the oil marketing company. The following sub-hypotheses branch out from the main hypothesis: The first sub-hypothesis: There is a statistically significant relationship between the artificial intelligence variable in the development of digital marketing The second sub-hypothesis: A statistically significant relationship was found between the variable of using social media in marketing and the development of digital marketing The third sub-hypothesis: There is a statistically significant relationship between the digital advertising variable in the development of digital marketing -The fourth sub-hypothesis: There is a statistically significant relationship between the after-sales services variable in the development of digital marketing The fifth sub-hypothesis: There is a statistically significant relationship between the variable of using email in developing digital marketing American Journal of Business Management, Economics and Banking Volume 20 January, 2024 P a g e | 260 www.americanjournal.org Study Approach The current study followed the descriptive analytical approach, which aimed to identify methods of artificial intelligence methods in developing digital marketing. It also used a survey of a sample of employees of the Oil Marketing Company on digital marketing and its development. Study population The study population consists of employees of the oil marketing company The study sample The study sample consisted of 120 employees of the oil marketing company in a purposive manner. Data collection tool Data for the study was collected through a special questionnaire that was designed based on previous studies. Study model The relationship model between the study variables was built according to the following: Figure 1: The relationship between the study variables Source: Prepared by the researchers based on previous studies (Hajtaj, 2021), (Salah, 2020). Independent variable Dependent variable Dimensions of artificial intelligence Digital marketing artificial intelligence Use of social media Digital advertising After-sales service Use email American Journal of Business Management, Economics and Banking Volume 20 January, 2024 P a g e | 261 www.americanjournal.org The concept of artificial intelligence: Artificial intelligence refers to systems that mimic human intelligence to perform tasks and that can improve themselves based on the information they collect. It is related to the ability to think superiorly and analyze data more than it is related to a specific place or function. It is also used in a number of tasks, which process natural languages to understand customers and allow them to ask questions and obtain information. These robots can also learn over time so that they can add greater value to customer interactions. And also understand customer problems faster and provide more efficient answers (Dimitris, 2019, p12). The concept of digital marketing: The concept of electronic marketing is one of the new and innovative concepts in the world of marketing. It is noted that its concept has a kind of ambiguity. This is due to the belief that marketing only takes place through the Internet. This reason confirms the importance of giving an accurate definition of electronic marketing through marketing and its functions via All digital technologies, and there are those who believe that electronic commerce is electronic marketing (Dan, 2019, p12). Applied study Study Approach The current study falls within the framework of descriptive survey studies that aim to identify the relationship between the use of artificial intelligence methods in developing digital marketing at the (SOMO) Oil Marketing Company on a sample of the company’s employees specializing in marketing. The questionnaire was used as a study tool to collect data, classify it, analyze it, interpret it, and draw conclusions. Reliability using Cronbach's alpha method The researchers calculated the alpha coefficient for each scale used in the study in order to test the reliability of these scales. Table No. (1) shows the values of the Cronbach's alpha coefficient. Table No. (1): Alpha coefficient for each scale used in the study Variables The value of Cronbach's alpha coefficient Number of paragraphs Dimensions of artificial intelligence Artificial intelligence variable 0.604 5 Social media use variable 0.845 5 Digital advertising variable 0.751 5 After-sales service variable 0.816 5 Email usage variable 0.714 5 Source: Prepared by the researchers based on the outputs of the statistical program (SPSS). The table above indicates that all Cronbach's alpha reliability values for the variables of the study tool were greater than 0.6, which means a high degree of reliability and validity of the content of the study variables. American Journal of Business Management, Economics and Banking Volume 20 January, 2024 P a g e | 262 www.americanjournal.org Description of the study sample The researchers determined some features of the study sample’s vocabulary using statistical standards, as follows: Table No. (2): Characteristics of the study sample Type the number % Gender male 79 68.8 % Females 41 34.2 % job position president 2 1.7 % vice president 4 3.3 % Head of the Department 14 11.7 % employee 100 83.3 % Years of Experience From 1 to 5 years 24 20 % From 6 years to 10 years 51 42.5 % From 11 years to 15 years 15 12.5 % From 16 years and over 30 25 % Source: Prepared by the researchers based on the outputs of the statistical program (SPSS). Results of descriptive statistics for the study variables The two researchers described the opinions of the study sample with regard to all study variables, and statistical analyzes were conducted on the collected data to prove some of the relationships that serve the research, using the statistical package program SPSS, represented by the standard deviation, the arithmetic mean, the relative importance, and the item score and its level. Results of the descriptive statistics of the opinions of the study sample regarding the variable artificial intelligence Table No. (3): Artificial Intelligence variable Number of Paragraphs Standard Deviation Mean Result Level Relative Importance Rank 1 I deal with social media easily 0.871 4.08 agree High 81.6 % 3 2 I have the ability to interact with interactive chatbots 0.843 4.06 agree High 81.2 % 4 3 I have the ability to use search engines to obtain information 0.721 4.28 agree High 85.6 % 1 4 Use e-mail to receive and send information 0.693 4.20 agree High 84% 2 5 Oil Marketing Company provides its services and assistance through the website 0.849 4.03 agree High 80.6 % 5 Source: Prepared by the researchers based on the outputs of the statistical program (SPSS). The data presented in the table above show that the highest arithmetic mean is for paragraph (3), which states: “I have the ability to use search engines to obtain information,” as its value reached American Journal of Business Management, Economics and Banking Volume 20 January, 2024 P a g e | 263 www.americanjournal.org (4.28), and its standard deviation represents (0.721), and it was the result of the opinions of individuals The study sample agreed with the content of the paragraph, and the importance percentage was (85.6%), and its level was high. While the lowest arithmetic mean is for paragraph (5), which states: “The Oil Marketing Company provides its services and assistance via the website,” where its value was (4.03), and its standard deviation represented (0.849), and the result of the opinions of the study sample members was agreement to The content of the paragraph was (80.6%) important, and its level was high. Results of the descriptive statistics of the opinions of the study sample regarding the variable of using social media in marketing Table No. (4): The variable of using social media in marketing Number of Paragraphs Standard Deviation Mean Result Level Relative Importance Rank 1 I have an account on Facebook, Twitter and Instagram 0.784 3.92 agree High 78.4% 5 2 I love engaging with social media 0.803 4.17 agree High 83.4% 3 3 I am interested in following product announcements through social media 0.830 4.32 agree High 86.4% 2 4 I am interested in communicating at any time through social media 0.769 4.33 agree High 86.6% 1 5 Use social media to advertise products 0.818 4.11 agree High 82.2% 4 Source: Prepared by the researchers based on the outputs of the statistical program (SPSS). The data presented in the table above show that the highest arithmetic mean is for paragraph (4), which states: “I am interested in communicating at any time through social media.” Its value reached (4.33), and its standard deviation represented (0.830), and it was the result of the opinions of individuals. The study sample agreed with the content of the paragraph, and the importance percentage was (86.4%), and its level was high. While the lowest arithmetic mean is for paragraph (1), which states: “I have an account on Facebook, Twitter, and Instagram,” where its value was (3.92), and its standard deviation was (0.784), and the result of the opinions of the study sample members was agreement with the content of the paragraph, the importance percentage was (78.4%), and its level was high. American Journal of Business Management, Economics and Banking Volume 20 January, 2024 P a g e | 264 www.americanjournal.org Results of the descriptive statistics of the opinions of the study sample regarding the digital advertisements variable Table No. (5): Digital advertising variable Number of Paragraphs Standard Deviation Mean Result Level Relative Importance Rank 1 I am interested in publishing advertisements through the media 0.822 4.28 agree High 85.6 % 1 2 The creative design in the advertisement attracts attention 0.710 4.02 agree High 80.4 % 4 3 Advertising products through electronic applications attracts more attention than traditional advertisements 0.952 4.21 agree High 84.2 % 3 4 (SOMO) Oil Marketing Company allocates a sufficient budget for digital advertising 1 3.98 agree High 79.6 % 5 5 I can determine the target groups in digital advertising 0.957 4.22 agree High 84.4 % 2 Source: Prepared by the researchers based on the outputs of the statistical program (SPSS). The data presented in the table above show that the highest arithmetic mean is for paragraph (1), which states: “I care about publishing advertisements through the media,” as its value reached (4.28), and its standard deviation represented (0.822), and the result of the opinions of the study sample members was The percentage of approval on the content of the paragraph was (85.6%), and its level was high. While the lowest arithmetic mean is for paragraph (4), which states, “The (SOMO) Oil Marketing Company allocates a sufficient budget for digital advertising,” as its value reached (3.98), and its standard deviation represents (1), and the result of the opinions of the study sample members was agreement with the content. paragraph, the importance percentage was (79.6%), and its level was high. Results of the descriptive statistics of the opinions of the study sample regarding the after-sales services variable Table No. (6): After-sales services variable Number of Paragraphs Standard Deviation Mean Result Level Relative Importance Rank 1 I can provide after-sales services at any time through the website 0.944 4.18 agree High 83.6 % 2 2 We communicate with the customer on an ongoing basis 1 4.04 agree High 80.8 % 4 3 (SOMO) Oil Marketing Company is interested in training employees on digital marketing through electronic applications 0.922 4.13 agree High 82.6 % 3 4 (SOMO) Oil Marketing Company uses an automated customer response method to provide direct support to the customer 1 3.97 agree High 79.4 % 5 5 The Oil Marketing Company website contains a database of all clients 0.900 4.22 agree High 84.4 % 1 Source: Prepared by the researchers based on the outputs of the statistical program (SPSS). American Journal of Business Management, Economics and Banking Volume 20 January, 2024 P a g e | 265 www.americanjournal.org The data contained in the table above show that the highest arithmetic mean is for paragraph (5), which states, “The Oil Marketing Company’s website contains a database of all customers,” as its value reached (4.22), and its standard deviation represented (0.9), and it was the result of opinions The members of the study sample agreed with the content of the paragraph, and the importance percentage was (%), and its level was high. While the lowest arithmetic mean is for paragraph (4), which states, “The (SOMO) Oil Marketing Company uses an automated response method to the customer to provide direct support to the customer,” where its value was (3.97), and its standard deviation represents (1), and it was the result of the opinions of the sample members. The study aimed to agree on the content of the paragraph, and the importance percentage was (79.4%), and its level was high. Results of the descriptive statistics of the opinions of the study sample regarding the variable of using e-mail Table No. (7): Email usage variable Number of Paragraphs Standard Deviation Mean Result Level Relative Importance Rank 1 (SOMO) Oil Marketing Company has an email account 1 4.03 agree High 80.6% 4 2 I use e-mail in advertising 1 4.02 agree High 80.4% 5 3 You can respond to customers and send announcements via email in an automated manner 1 4.09 agree High 81.8% 2 4 Interests in digital marketing among company members are increasing 0.995 4.05 agree High 81% 3 5 Email helps you see all the latest news from Oil Marketing Company quickly and easily 1 4.13 agree High 82.6% 1 Source: Prepared by the researchers based on the outputs of the statistical program (SPSS). The data presented in the table above show that the highest arithmetic mean is for paragraph (5), which states: “E-mail helps to see everything new at Oil Marketing Company quickly and easily,” as its value reached (4.13), and its standard deviation represents (1), The result of the opinions of the study sample members was agreement with the content of the paragraph, and the importance percentage was (82.6%), and its level was high. While the lowest arithmetic mean is for paragraph (2), which states, “I use e-mail for advertising,” as its value reached (4.02), and its standard deviation represents (1). The result of the opinions of the members of the study sample was agreement with the content of the paragraph, and it was The percentage of importance was (80.4%), and its level was high. Testing the study hypotheses This study carried a main hypothesis and five sub-hypotheses branched out from it. They were all investigating the relationship between the dimensions of the means of using artificial intelligence and the development of digital marketing. In order to examine the study’s hypotheses, automated American Journal of Business Management, Economics and Banking Volume 20 January, 2024 P a g e | 266 www.americanjournal.org processing was relied upon using the statistical package system (SPSS), and using the Pearson statistical method, which resulted in the following results: Main hypothesis test: There is a statistically significant relationship between the dimensions of the means of using artificial intelligence and the development of digital marketing at the oil marketing company. Table No. (8): Correlation coefficient between dimensions of artificial intelligence and digital marketing development Variables Correlation coefficient value Statistical significance Result Dimensions of artificial intelligence 0.000 Significant at 0.01 Artificial intelligence variable 0.932 Social media use variable 0.934 Digital advertising variable 0.973 After-sales service variable 0.966 Email usage variable 0.958 Source: Prepared by the researchers based on the outputs of the statistical program (SPSS). From the table above it is noted that the probability value (0.000) is less than (0.01), and therefore there is a statistically significant relationship between at the significance level of 0.01, and with a correlation coefficient estimated at (0.932), for the artificial intelligence variable, and (0.943) for the social media use variable, (0.973) for the digital advertising variable, (0.966) for the after-sales services variable, and (0.958) for the email use variable. Testing the first sub-hypothesis: There is a statistically significant relationship between the artificial intelligence variable in the development of digital marketing Table No. (9): Correlation coefficient between the artificial intelligence variable and digital marketing development Variables Correlation coefficient value Statistical significance The result Artificial intelligence variable 0.943 0.000 Significant at 0.01 Digital marketing Source: Prepared by the researchers based on the outputs of the statistical program (SPSS). From the table above, it is noted that the probability value (0.000) is less than (0.01), and therefore there is a statistically significant relationship between the artificial intelligence variable and digital marketing development at the significance level of 0.01, with a correlation coefficient estimated at (0.943). American Journal of Business Management, Economics and Banking Volume 20 January, 2024 P a g e | 267 www.americanjournal.org Testing the second sub-hypothesis: There is a statistically significant relationship between the variable of using social media in marketing and the development of digital marketing Table No. (10): Correlation coefficient between the variable of using social media and the development of digital marketing Variables Correlation coefficient value Statistical significance Result Social media use variable 0.880 0.000 Significant at 0.01 Digital marketing Source: Prepared by the researchers based on the outputs of the statistical program (SPSS). From the table above, it is noted that the probability value (0.000) is less than (0.01), and therefore there is a statistically significant relationship between the variable of using social media and the development of digital marketing at the significance level of 0.01, with a correlation coefficient estimated at (0.880). Testing the third sub-hypothesis: There is a statistically significant relationship between the digital advertising variable in the development of digital marketing Table No. (11): Correlation coefficient between the digital advertising variable and digital marketing development Variables Correlation coefficient value Statistical significance Result Digital advertising variable 0.973 0.000 Significant at 0.01 Digital marketing Source: Prepared by the researchers based on the outputs of the statistical program (SPSS). From the table above, it is noted that the probability value (0.000) is less than (0.01), and therefore there is a statistically significant relationship between the digital advertising variable and the development of digital marketing at the significance level of 0.01, with a correlation coefficient estimated at (0.973). Testing the fourth sub-hypothesis: There is a statistically significant relationship between the after-sales services variable in the development of digital marketing Table No. (12): Correlation coefficient between the after-sales services variable and digital marketing development Variables Correlation coefficient value Statistical significance Result After-sales service variable 0.966 0.000 Significant at 0.01 Digital marketing Source: Prepared by the researchers based on the outputs of the statistical program (SPSS). From the table above, it is noted that the probability value (0.000) is less than (0.01), and therefore there is a statistically significant relationship between the after-sales services variable and digital marketing development at the significance level of 0.01, with a correlation coefficient estimated at (0.966). American Journal of Business Management, Economics and Banking Volume 20 January, 2024 P a g e | 268 www.americanjournal.org Testing the fifth sub-hypothesis: There is a statistically significant relationship between the variable of using email in developing digital marketing Table No. (13): Correlation coefficient between the variable of using email and the development of digital marketing Variables Correlation coefficient value Statistical significance Result Email usage variable 0.958 0.000 Significant at 0.01 Digital marketing Source: Prepared by the researchers based on the outputs of the statistical program (SPSS). From the table above, it is noted that the probability value (0.000) is less than (0.01), and therefore there is a statistically significant relationship between the variable of using email and the development of digital marketing at the significance level of 0.01, with a correlation coefficient estimated at (0.958). Conclusion It is evident from the above results 1-There is a statistically significant relationship between the dimensions of the means of using artificial intelligence and the development of digital marketing at the oil marketing company. 2-There is a statistically significant relationship between the variable artificial intelligence in the development of digital marketing 3-There is a statistically significant relationship between the variable of using social media in marketing and the development of digital marketing 4-There is a statistically significant relationship between the digital advertising variable in the development of digital marketing 5-There is a statistically significant relationship between the after-sales services variable in the development of digital marketing 6-There is a statistically significant relationship between the variable of using email in developing digital marketing 7- A large number of employees use the Internet and its applications, meaning that they have an increased desire for this field, which prompts marketers to deal with the Internet because it is a positive and effective market, easy to use and available to many users. 8-The importance of using data and information and what is easily provided by artificial intelligence methods, which are useful in digital marketing that can be collected and obtained through social media. 9- Attention is paid to digital advertisements for products, which draw the attention of users to (SOMO)’s products through creative publishing and design. Artificial intelligence methods help speed up the publication of advertisements and create an atmosphere of effective communication. 10- Artificial intelligence means achieve the most important principles of digital marketing quality through after-sales service, as artificial intelligence means provide automatic response features that allow communication at any time and from anywhere, which achieves interactivity. American Journal of Business Management, Economics and Banking Volume 20 January, 2024 P a g e | 269 www.americanjournal.org Recommendations Based on the above results, the researchers recommend the following: 1-Work more on using the dimensions of artificial intelligence in developing digital marketing at the Oil Marketing Company. This is of great importance in reaching correct marketing decisions. 2-Focus on using artificial intelligence methods to use search engines to obtain information about the Oil Marketing Company. 3- Developing the skills of employees at the (SOMO) Oil Marketing Company with the aim of dealing with artificial intelligence methods to a large extent. This would work to program the work of employees in a technological manner that qualifies them to deal with modern methods more effectively. 4- Linking the process of applying artificial intelligence methods and developing digital marketing in the (SOMO) Oil Marketing Company, in a way that strengthens the various administrative levels in the company. 5- Holding several workshops on the dimensions of artificial intelligence and development of digital marketing at the (SOMO) Oil Marketing Company, as well as asking employees to prepare research and studies related to this to increase the application of the dimensions of artificial intelligence in the company. 6-The need to pay more attention to the practice of applying artificial intelligence methods in order to develop marketing strategies. References 1-Al- Fagi, A. (2012). Artificial Intelligence and Expert Systems, Dar Al Thaqafa publishing and Distribution, Jordan 2-Al-Hawamid, Tharwat, (2019), The impact of artificial intelligence in creating the correct strategic thinking for the entrepreneurial leaders of business organizations to reach the added value of their strategic operations, Jerash University, Volume 21. 3- Al-Jobuwi, Siham, (2020), The impact of using artificial intelligence technology in the e-learning environment on developing future thinking skills and academic achievement in science among middle school female students, Tabuk University Journal for Humanities and Social Sciences, University of Tabuk, No. 9. 4-Brosnan, F. (2012). Business intelligence: What works where in B2B digital marketing. Journal of Direct, Data and Digital Marketing Practice, 14 (2), 154-159 5-Dan Dumitriu, Mirona Ana-Maria Popescu (2019): Artificial Intelligence Solutions for Digital Marketing, University Politehnica of Bucharest, Faculty of Entrepreneurship, Business Engineering and Management, Splaiul Independentei 313 6-Dimitris C Gkikas1 and Prokopis K Theodoridis(2019): Artificial Intelligence (AI) Impact on Digital Marketing Research, University of Patras, Seferistr. 2, 30100 Agrinio, Greece dgkikas@upatras.gr. 7- Hajjaj, Ismail, (2021), The impact of using artificial intelligence methods on the development of digital marketing, Al-Madaniyah Higher Institute for Management and Technology, Volume 12, Issue 4.