Management Challenges and Solutions for Effective Utilization of Artificial Intelligence in Business Firms
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This presentation covers the contemporary management issues introduced by usage of Artificial Intelligence in business, the benefits of using AI in business firms, management challenges created because of AI, and effective solutions in handling AI management issues.
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KNOWLEDGE EXCHANGE PROJECT
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TABLE OF CONTENTS •INTRODUCTION •Overview of Hettie •Influencing Literature •Research Project Objectives •Proposed Methodology •Research Limitations •Research Ethics •References
INTRODUCTION AI Technology today: •Is used for data management •Predicting consume behavior •Improving consumer service Small Businesses today: •Are looking for ways to improve business operations to compete with multinational organizations The research will investigate: •Contemporary management issues introduced by usage of Artificial Intelligence in business. The complex challenges associated with this topic are covered in this presentation along with solutions for eliminating these challenges
OVERVIEW OF HETTIE Hettie: •Award winning luxury family lifestyle brand •Offers made in England products •Classic British accessories, inspired by our local British landscape •Offers sustainable alternative to fast fashion
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INFLUENCING LITERATURE Advantages of AI in business •As per the view of Gurtu (2021) the usage of Artificial intelligence is beneficial for business firms. •Increases precision •Replaces human labor •Helps predict future outcomes through data analysis
MANAGEMENT OBSTACLES CREATED BY AI •Accordingto Vadapalli(2021)there are different challenges associated with the usage of AI in the corporate world. •High Computing power of AI •Trust Deficit •Limited Knowledge •Data Privacy and Security
WAYS OF EFFECTIVELY UTILIZING AI According to Marvin and Horowitz (2018) it is important for business firs to take measures while adopting AI so that it can e effectively used. •Understand the role of AI in business •Fill internal knowledge gaps •DevelopingeffectiveleadershipforAI implementation
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RESEARCH PROJECT OBJECTIVES •To understand the benefits of using AI in business firms •To determine the management challenges createdbecauseof AI •To identify effective solutions inhandlingAIrelated management issues
PROPOSED METHODOLOGY Research methodology •A contextual framework used for completing coherent research with logical basis. Research philosophy: •Positivism and interpretivism. •Positivism emphasizes factual knowledge. •Interpretivism states that reality exists outside of individual mind
RESEARCH APPROACH •Deductiveresearchapproachand inductive research approach. Deductive research Approach •Helps test an existing theory •Supports quantitative measurement Inductive research approach •Improves flexibility
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RESEARCH STRATEGY •Experimental research, case study research and survey are some of the examples of research strategy. Experimental Research •Dependent, independent and extraneous variables are used Survey •Supportssystematicinvestigationthrougha survey questionnaire
RESEARCH DESIGN Research Design •ExplanatoryandDescriptivearetwo types of research design Explanatory Research Design •Operational definition is generated •Detailed explanation Descriptive Research Design •Systematic description of the topic
DATA COLLECTION •Qualitative data collection and quantitative data collection •Qualitative Data Collection •Involves approximation and characterization •Non-numerical in nature Quantitative Data Collection •Statistical significance •Numerical in nature
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SAMPLING •Probabilisticsamplingmethodandnon-probabilistic sampling method Probabilistic Sampling •Equal opportunity for representation •Supports generalization Non-probabilistic Sampling •Selection of sample is not known •Non-random ways of selecting sample
COST ArticlesExpanse Transferable mainframe£20 Internet linking£15 Writing supplies£30 TOTAL£65
TIMESCALE One week Two-weekThree- week Four week Five- week Six weekSeven- week Eight week Nine week Ten- week 11 week12 week Choosingthe research topic Creatingresearch aim and objectives Developing researchrationale and background Data collection Data analysis Final submission
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RESEARCH LIMITATION •Completing the research with time constraint •Low Budget •COVID-19 pandemic affecting data collection Questionnaire •Confusion in understanding the questions correctly •False answer •Pandemic affecting research consistency
RESEARCH ETHICS •Maintainingparticipant anonymity •Protecting personal data of the participant •Avoiding data manipulation •Onlyassessingrelevant components
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REFRENCES •Flynn, R., Albrecht, L. and Scott, S. D., 2018. Two approaches to focus group data collection for qualitative health research: Maximizing resources and data quality.InternationalJournalofQualitativeMethods, 17(1). p.1609406917750781. •Varghese, S. S., Ramesh, A. and Veeraiyan, D. N., 2019. Blended Module‐Based Teaching in Biostatistics and Research Methodology: A Retrospective Study with Postgraduate Dental Students.Journal of dental education, 83(4). pp.445-450.
REFRENCES •10 Steps to Adopting Artificial Intelligence in Your Business, 2018. [Online] Availablethrough https://www.pcmag.com/news/10-steps-to-adopting-artificial-intelligence-in-your- business •Five Industries Reaping The Benefits Of Artificial Intelligence, 2021. [Online] Availablethrough https://www.forbes.com/sites/forbestechcouncil/2021/06/02/five-industries-reaping -the-benefits-of-artificial-intelligence/?sh=2766522359ca •Top 7 Challenges in Artificial Intelligence in 2021. [Online] Available through