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I have uploaded a paper that was done poorly. Please check through it revise it and also write the hypothesis as the writer just wrote questions. They wrote 950 words. Make it 1100 words. I will also attach the complete literature review to aid you in the writing. Thank you research_assignment__1_.docx chamuel_4__1_.docx artificial_intelligence.edited__2____revised.docx Unformatted Attachment Preview Running Head: AN APPLICATION OF ARTIFICIAL INTELLIGENCEBASED METHODOLOGY IN LITERATURE REVIEWS. 1 AN APPLICATION OF ARTIFICIAL INTELLIGENCE-BASED METHODOLOGY IN LITERATURE REVIEWS. Name College Name Date AN APPLICATION OF ARTIFICIAL INTELLIGENCE-BASED METHODOLOGY IN LITERATURE REVIEWS. 2 Background of the Problem: Artificial intelligence (AI) is focused on developing valued, automated resolutions (i.e. smart agents / systems) to problems that would require intelligence intervention if carried out by humans (Martínez-López & Casillas, 2013). There are problems to be solved in all fields that require this specific feature, which involves human judgment and interpretation in order to analyze and resolve these problems with assurances of success. These crucial situations often relate to strategic issues in companies and academia, where issues are not well structured. Because of their specific strengths, either the development and application of ad-hoc intelligent systems to process large data and offer valued information with a data-driven methodology or, in particular, a knowledge-driven methodology might be of concern to researchers. A review of the literature is a systematic overview of prior work on a topic. Books, scholarly articles and other relevant sources are essential in carrying out literature review. Literature review should list, summarize, describe and clarify previous research work objectively. Problem Statement: There is a lack of specialized research books with a strong emphasis on AI approaches and literature reviews, although there exist multiple research on artificial intelligence, none of these research have focused on academia especially literature review. According to Hussain and Qamar (2016), IA has contributed tremendously to the field of medical research and the treatment of complex neurological disorders. A study by Martínez-López & Casillas (2009) focused on artificial intelligence on decision-making. AN APPLICATION OF ARTIFICIAL INTELLIGENCE-BASED METHODOLOGY IN LITERATURE REVIEWS. 3 As indicated above, various researchers have carried research on artificial intelligence on different sectors of the economy. Most of the researchers focused on transport, business, health and technology. There is no previous study, which focused on artificial intelligence on academia and specifically literature review. This study will seek to provide information on the application of artificial intelligence-based methodology in literature reviews. Statement of Purpose: Over the last decade, the use of artificial intelligent systems to address different issues has been limited and mainly concentrated on few sectors. As a result, certain fields are still unexplored, as a major focus has been directed to some sectors such as health and business. With the application of artificial intelligence-based methodology in literature reviews. The study will aim at stimulating and publishing high-quality contributions on artificial intelligent and literature review. Theoretical Foundation/Conceptual Framework: The conception of AI as a science area was closer to fiction. The concept of AI, however, is no longer a myth but a fact, which has become part of our everyday lives. Hence, machine learning by using neural networks which imitate the real procedures of the actual neurons. AI permits sophisticated data processing devices and provides reliable knowledge (Iqbal et al. 2016). This marks the golden age of AI with the AI advancements and development. As a result, the most sophisticated technology has been the AI. According to Zhang and Minbiole (2016), people used the AI technology to develop selfdriving automobiles. Given the fact that the cars require a driver for safety purposes, innovations are a direct proof of the AI stage with respect to technical advancements. According to Hussain AN APPLICATION OF ARTIFICIAL INTELLIGENCE-BASED METHODOLOGY IN LITERATURE REVIEWS. 4 and Qamar (2016), IA has contributed tremendously to the field of medical research and the treatment of complex neurological disorders. For example, doctors with the AI may evaluate the health risks of a patient and decide the side effects of various medications. AI has profoundly influenced the field of medical research leading to advanced study, which in turn has saved lives. Brief Operational Definitions: Artificial intelligence – Computer systems theory and technology capable of performing tasks which normally require human intelligence, such as speech recognition, visual perception, language translation and decision-making. Literature reviews- A review of the literature is a systematic overview of prior work on a topic. Methodology- A collection of methods used in a given field of research or operation. Significance of the Study: Researchers and academic community will use the findings of this study as a reference for further studies and as a basis for on application of artificial intelligence-based methodology in literature reviews. It will also forms a reference material for study and analysis. It will also documents and makes available literature used by other scholars and researchers in assessing whether the findings are consistent with those in developing countries or not thus proving ground for further research. The research is of great benefit to the education stakeholders, they will find the study valuable in understanding the role and application of artificial intelligence in literature review. The public will find this study useful in understanding application of artificial intelligencebased methodology in literature reviews. This is useful in carrying out their own research for knowledge advancement. AN APPLICATION OF ARTIFICIAL INTELLIGENCE-BASED METHODOLOGY IN LITERATURE REVIEWS. 5 Research Questions 1. To examine the effect of growth of artificial intelligence-based methodology in literature reviews. 2. To determine the extent of expansion of artificial intelligence-based methodology in literature reviews. 3. To determine the effects of innovation of artificial intelligence-based methodology in literature reviews. Research Hypotheses 1. How does growth on artificial intelligence-based methodology influence literature reviews? 2. How does expansion on artificial intelligence-based methodology affect on artificial intelligence-based methodology affect literature reviews? 3. How does innovation literature reviews? AN APPLICATION OF ARTIFICIAL INTELLIGENCE-BASED METHODOLOGY IN LITERATURE REVIEWS. 6 References Hussain, F., & Qamar, U. (2016). Identification and Correction of Misspelled Drugs Names in Electronic Medical Records (EMR). In ICEIS (2) (pp. 333-338). Iqbal, R., Doctor, F., More, B., Mahmud, S., & Yousuf, U. (2016). Big data analytics: computational. Intelligence techniques and application areas. International Journal of Information Management. Martínez-López, F. J., & Casillas, J. (2013). Artificial intelligence-based systems applied in industrial marketing: An historical overview, current and future insights. Industrial Marketing Management, 42(4), 489–495. https://doiorg.ezp.waldenulibrary.org/10.1016/j.indmarman.2013.03.001 Zhang, R., & Minbiole, J. (2016). The idea of inventing machines that work more efficiently than humans can date back to the Industrial Revolution (Marshall). Oxford University Press, New York. Chamuel 4 Assignment: Problem Statements, Purpose Statements, Descriptive Questions, and Hypotheses • o o o o o o • • • • • • • o o For this Assignment, you will develop an introduction that contains a problem statement and purpose statement. Although your work to this point may have guided you toward a particular research design or approach, there is still value in examining your topic from a variety of perspectives. Toward that end, one useful exercise involves returning to the triumvirate of quantitative, qualitative, and mixed-methods approaches and to create hypotheses and descriptive research questions accordingly in your introduction. To prepare for this Assignment: Review: Chapters 5, 6, and 7 in the Creswell text Chapter 2, “Paper Elements and Format” and Chapter 3, Journal Article Reporting Standards in the APA Manual The “A Typology of Research Purposes and its Relationship to Mixed Methods” book excerpt Sections on Introductions and Conclusions in the Introductions and Conclusions webpage The Problem Statements interactive media The Developing Purpose Statements, Research Questions, and Hypotheses interactive media Write a 4 page introduction based on your literature review in Week 3 Assignment 1. (will be in the second link) Your introduction should address and include the elements suggested by this weeks Learning Resources, including: Background of the Problem: This section should provide the context for your study. Problem Statement: The problem statement identifies, in 1–2 paragraphs, the research problem under investigation. It is not a social problem. Rather, it is a problem of knowledge—what we do not know about something. You can find a research problem by identifying a “gap” in the literature you reviewed. Statement of Purpose: The purpose of the study is one paragraph that describes the overall goal of your study and why you are undertaking it. Be sure to identify specific deficiencies in past studies and explain how your study will address these deficiencies. Theoretical Foundation/Conceptual Framework: Doctoral scholarship represents an understanding of theory and how it is generated and tested. Identify at least one theoretical perspective that will guide your research. In 1–2 paragraphs, describe the theoretical framework and provide citations to appropriate references. Brief Operational Definitions: Any specialized terms you are including, or variables under investigation in the study, must be defined. Significance of the Study: What are the implications of the results of the study for researchers, practitioners, and social change? What good can be produced from your study (regardless of whether you find statistically significant results)? Research Questions and Hypotheses for the quantitative section, qualitative section, and mixed-methods section. Develop 3–4 research questions for the qualitative section. Develop a directional hypothesis, a non-directional hypothesis, and a null hypothesis for the quantitative or mixed-methods section that derive from the theory you are considering. For each hypothesis, describe the relationships between at least two variables. Chamuel 4 Week 3 Assignment 1 References Artificial intelligence-based systems applied in industrial marketing: An historical overview, current and future insights References Martínez-López, F. J., & Casillas, J. (2013). Artificial intelligence-based systems applied in industrial marketing: An historical overview, current and future insights. Industrial Marketing Management, 42(4), 489–495. https://doiorg.ezp.waldenulibrary.org/10.1016/j.indmarman.2013.03.001 //////////////////////////////////////////// Advanced process control of irrigation: the current state and an analysis to aid future development. References McCarthy, A., Hancock, N., & Raine, S. (2013). Advanced process control of irrigation: the current state and an analysis to aid future development. Irrigation Science, 31(3), 183–192. https://doi-org.ezp.waldenulibrary.org/10.1007/s00271-011-0313-1 ///////////////////////////////////////////////////// Impacts of artificial intelligence on organizational decision making. References Lawrence, T. (1991). Impacts of artificial intelligence on organizational decision making. Journal of Behavioral Decision Making, 4(3), 195–214. https://doiorg.ezp.waldenulibrary.org/10.1002/bdm.3960040306 /////////////////////////// PRM81 - AN APPLICATION OF ARTIFICIAL INTELLIGENCEBASED METHODOLOGY IN LITERATURE REVIEWS Running head: ARTIFICIAL INTELLIGENCE Artificial intelligence Student’s Name Institutional Affiliation 1 ARTIFICIAL INTELLIGENCE 2 Artificial intelligence The artificial intelligence mainly focuses on the establishment of automated and valuable solutions to problems requiring human intelligence. The issue of artificial intelligence has been discussed in many scholarly publications. Martínez-López and Casillas (2013) conclude that artificial intelligence offers excellent chances for making substantial advancement in the analytical systems and methods used mainly by farms to manage several marketing issues. The authors address the issue of artificial intelligence in the context of marketing issues. In this case, the authors conclude that artificial intelligence can solve the underlying problems in marketing. More specifically, this article discusses the application of intelligent systems in marketing matters. The report, therefore, concludes that artificial intelligence significantly boosts industrial marketing. Lawrence (1991) does not address the issue of artificial intelligence in line with industrial marketing. Instead, the article directs its interest in organizational decision making. According to Lawrence (1991), out of the many technological advancements, artificial intelligence serves a vital role in the decision making of an institution. The article also recognizes the impacts of artificial intelligence in decision making (Lawrence, 1991). The artificial intelligence will enable machines to think like humans and make crucial decisions regarding critical aspects of an organization. On the other hand, McCarthy, Hancock, and Raine (2013) direct their research on the potentiality of using artificial intelligence in irrigation. Arguably, the advanced process control, which is a form of artificial intelligence, can be used for irrigation purposes. The technique is capable of dealing with the soil’s complexities and other factors necessary for irrigation purposes (McCarthy, Hancock & Raine, (2013). The article concludes that artificial intelligence can ARTIFICIAL INTELLIGENCE 3 handle irrigation issues. Several factors are examined in the article about how artificial intelligence can be used in irrigation. Beulah et al. 2018 present research that addresses artificial intelligence in the form of a weber effect. The analysis presented in this case cuts across the reporting trends in FDA over the last ten years. The reviews, in this case, reveal that technology has played a vital role in the trends. They further reveal the need for more intelligence in the reporting (Beulah et al. 2018). Therefore, artificial intelligence can be significantly used in this context. Based on the above-synthetized researches, one thing that needs further study is the negative implication of artificial knowledge where it is applied. The scholars in these articles hold a common assumption that artificial intelligence can function the same as human intelligence. They fail to dig deep into the potential adverse effects that are likely to counteract the positive impacts. Future studies should be dedicated to the adverse effects of artificial intelligence and compare them with the positive ones so that they can be balanced. The topic fills a fundamental gap in research. For many years, technology has been termed to be able to relieve human beings of some duties. There has been little knowledge of whether technology can relieve human beings some intelligence duties or make them more useful. The topic fills this gap as it provides the answer that technology can serve intelligence duties. The artificial intelligence can perform some of the responsibilities that are performed through human intelligence. A thorough research on the positive and negative impacts of this technique are however needed to get their balance before they are implemented in every setting. ARTIFICIAL INTELLIGENCE 4 Reference Beulah, E., Reddy, N., Subeesh, V., Maheswari, E., & Pudi, C. (2018). Prm79-Weber Effect: An Extended Analysis for Ten Years of Reporting Trends in FDA Adverse Event Reporting System (Faers). Value in Health, 21, S369. Lawrence, T. (1991). Impacts of artificial intelligence on organizational decision making. Journal of Behavioral Decision Making, 4(3), 195-214. Martínez-López, F. J., & Casillas, J. (2013). Artificial intelligence-based systems applied in industrial marketing: An historical overview, current, and future insights. Industrial Marketing Management, 42(4), 489-495. McCarthy, A. C., Hancock, N. H., & Raine, S. R. (2013). Advanced process control of irrigation: the current state and an analysis to aid future development. Irrigation Science, 31(3), 183-192. ARTIFICIAL INTELLIGENCE 5 ... Purchase answer to see full attachment