Methodology: SLR(systematic literature review) IMPORTANT!
The database requirement is Scopus + ABI + EBSCO
Deliverables:
AI and sharing economy framework in the digitalisation era.
Objectives:
How to blend AI and sharing economy to build capabilities in digital supply chains
Problem Statement / Reason why this project is important for industry:
It is well known that innovation is the driver of economic growth and there are several empirical pieces of evidence from different countries perspectives that suggest innovation would help companies to develop and maintain competitive advantage. Recently organizations are investing heavily in sharing economy platforms as well as data and design capabilities (Chhabra and Williams, 2019). Data has been considered as a superpower when decision-makers own it to overcome various assumptions and intuitions from product development to customer engagement. Having both design and data specialists together will enable companies to develop newer products and business processes. The latest advancement in analytics and support of artificial intelligence is highly helpful to understand the thinking of various stakeholders to end up in incremental and radical innovations (Kakatkar et al., 2020). The open question right now is how to effectively blend AI and sharing economy platforms to shift the focus from silos to interdisciplinary teams to engage both designer and data specialist with the disconnected workflow to deep synchronicity of multiple skills and innovation (Chhabra and Williams, 2019). The project will review AI techniques applications in sharing economy which is an emerging paradigm that integrates information/knowledge, analytics and artificial intelligence to support and manage the entire lifecycle of a product. AI techniques will help the product and process development team to understand the features that are most and least popular and how exactly the customers use their products.
The insights obtained will need to be analyzed to develop products that perform better, are cost effective and satisfy the customer requirements. Product development and process teams in companies are beginning to look at ways the enormous steam of real-time data into actionable information to improve the product and process development stages and underst and where innovation is necessary.
Example of Outlines(SLR):
TABLE OF CONTENTS
ABSTRACT
ACKNOWLEDGEMENTS
LIST OF FIGURES
LIST OF TABLES
LIST OF ABBREVIATIONS
KEY DEFINITIONS
1 INTRODUCTION
1.1 Business Problem
1.1.1 Supply Chain Disruption
1.2 Research Objectives and Questions
1.3 Justification for the Research
1.4 Structure of the Dissertation
2 METHODOLOGY
2.1 Introduction
2.2 Systematic Literature Review
2.3 Review Panel
2.4 Defining Search Terms
2.5 Search Strings
2.6 Academic Databases and Journals
2.7 Screening Process
2.7.1 Academic Article Generation
2.7.2 Academic Article Inclusion and Exclusion Criteria
2.8 Incorporating Additional Sources
2.9 Quality Appraisal
2.10 Data Extraction Process
2.11 Chapter Summary
3 DESCRIPTIVE FINDINGS
3.1 Introduction
3.1.1 Chronological Distribution
3.1.2 Geographic Location
3.1.3 Sector Type
3.1.4 Document Type
3.1.5 Document Source Disciplines
3.1.6 Research Method
3.1.7 Themes
3.2 Chapter Summary
4 THEMATIC FINDINGS
4.1 Introduction
4.2 Industry
4.3 XXX
4.4 Chapter Summary
5 DISCUSSION
5.1 Introduction
5.2 Chapter Summary
6 CONCLUSION
6.1 Key Findings
6.1.1 Fulfilment of Research Objective
6.2 Limitations of Research
6.3 Reflections and Key Learning Points
6.4 Further Research Opportunities
REFERENCESWEB-BASED REFERENCES5
APPENDICES..
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