Advances in Economics, Management and Political Sciences

Open access

Print ISSN: 2754-1169

Online ISSN: 2754-1177

About AEMPS

The proceedings series Advances in Economics, Management and Political Sciences (AEMPS) is an international peer-reviewed open access series that publishes conference proceedings from a wide variety of methodological and disciplinary perspectives concerning economic and management issues. The series welcomes empirical and theoretical articles concerning micro, meso, and macro phenomena. Proceedings that are suitable for publication in the AEMPS cover domains on various perspectives of economics, management and political sciences and their impact on individuals, businesses and society.

Aims & scope of AEMPS are:
· Economics
· Management
· Political Sciences

View full aims & scope

Editors View full editorial board

Canh Thien Dang
King's College London
London, UK
Editor-in-Chief
canh.dang@kcl.ac.uk
Shima Amini
University of Leeds
Leeds, UK
Vice Editors-in-Chief
S.Amini@lubs.leeds.ac.uk
Arman Eshraghi
Cardiff Business School
Cardiff, UK
Vice Editors-in-Chief
EshraghiA@cardiff.ac.uk
Alexandre Loktionov
King's College London
London, UK
Vice Editors-in-Chief
alexandre.loktionov@kcl.ac.uk

Latest articles View all articles

Research Article
Published on 30 September 2024 DOI: 10.54254/2754-1169/113/2024LD0102
Diwen Zheng

This research explores the key factors influencing successful organizational change through case studies of Netflix and FinoTechno. With the development of science and technology, enterprises should consider the continuous updating of organizational change to maintain their innovation and competitiveness while pursuing benefits throughout the process of expending. It utilizes the SWOT analysis, McKinsey 7-S Framework, Kotter’s Eight-Step Change Model, and Lewin's Three-Stage Change Management Model to analyze technological advancements, integration of diverse teams, and maintaining a competitive edge. The analysis found that the development strategies of FinoTechno and Netflix should emphasize common values, communication networks and leadership commitment, enhance corporate reputation, and require significant investment in technology infrastructure and customer education. The findings highlight the importance of leadership, communication, and strategic alignment in managing change. Recommendations offer actionable strategies for enhancing technological infrastructure, fostering a unified organizational culture, and driving innovation. These insights provide valuable lessons for organizations navigating complex change processes.

Show more
View pdf
Zheng,D. (2024).Key Factors in Organizational Change: Case Studies of Netflix and FinoTechno Using Change Management Models.Advances in Economics, Management and Political Sciences,113,1-8.
Export citation
Research Article
Published on 30 September 2024 DOI: 10.54254/2754-1169/112/20242534
Yeming Feng

The research utilizes case analysis techniques to examine the driving forces behind, and the effectiveness of, the international corporate mergers and acquisitions (M&A) in China Resources Pharmaceutical within the RCEP structure. Research indicates that international mergers and acquisitions markedly improved the firm’s expertise in market expansion, technology acquisition, resource integration, and synergy effects. Such initiatives have stimulated an increase in revenue and profits, streamlined the cost framework, and further enhanced the firm’s brand prominence, innovative prowess, and competitive edge in the market. Enacting RCEP presents not only prospects for China Resources Pharmaceutical but also introduces obstacles including adherence to policies, cultural assimilation, and the merging of operations. The research suggests related strategic approaches to tackle these issues and boost the firm’s global competitive edge and market impact.

Show more
View pdf
Feng,Y. (2024).Cross-border M&A Motivations and Performance Evaluation in the Healthcare Industry under the RCEP Framework — A Case Study of China Resources Pharmaceutical.Advances in Economics, Management and Political Sciences,112,6-12.
Export citation
Research Article
Published on 27 September 2024 DOI: 10.54254/2754-1169/112/20242802
Qingying Duan

This study uses value chain analysis to examine the basic and supporting activities in the homestay industry, explore the challenges present in the value chain activities, and offer recommendations. The study points out that homestay businesses should focus on core competencies and implement a series of measures to achieve value creation and cost control. Additionally, optimizing the policy environment and applying sustainable development are crucial for the transformation and upgrading of the homestay industry. The results provide practical guidance for the industry to achieve sustainable development in an increasingly competitive market.

Show more
View pdf
Duan,Q. (2024).Research on High-Quality Development Strategies for the Homestay Industry from the Perspective of Value Chain.Advances in Economics, Management and Political Sciences,112,1-5.
Export citation
Research Article
Published on 28 August 2024 DOI: 10.54254/2754-1169/111/2024GA0103
Ye Fan

As US Federal Reverse Systems has continued to raise federal funds in the past few years in order to curb inflation, this has had a huge impact on chinese capital market. Investors and financial institude are actively engaged in predicting stock returns to maximize their investment income. This study constructs a model to analyze and predict the financial factor of stock income based on supervised machine learning methods and evaluate the results. The datasample is extracted from wind, for the period half a year before and after the recent federal funds rate hike. Utilizing machine learning packages in R, this paper construct models based on linear discriminant analysis, decision tree and random forest models. After constructing estimation models, this paper visualizes the prediction result by utilizing drawing package in R. It has been found that the random forest algorithm predicting model generates very successful results for the financial factor prediction as the model accuracy reaches 99%. According to the analysis, relevant model to predict financial factors and non-financial factors based on non-linear supervised machine learning algorithm can be built by investors or hedge fund agency to estimate stock performance in the future. This study also investigates the economic result of the Federal Funds Rate hikes, which is instructive for investors to make well-informed decisions.

Show more
View pdf
Fan,Y. (2024).Stock Return Prediction under US Federal Funds Rate Hike Based on Supervised Machine Learning.Advances in Economics, Management and Political Sciences,111,1-9.
Export citation

Volumes View all volumes

Volume 113September 2024

Find articles

Proceedings of Finance's Role in the Just Transition - ICFTBA 2024

Conference website: https://2024.icftba.org/

Conference date: 4 December 2024

ISBN: 978-1-83558-639-6(Print)/978-1-83558-640-2(Online)

Editor: Ursula Faura-Martínez

Volume 112September 2024

Find articles

Proceedings of the 2nd International Conference on Management Research and Economic Development

Conference website: https://2024.icemgd.org/index.html

Conference date: 26 September 2024

ISBN: 978-1-83558-637-2(Print)/978-1-83558-638-9(Online)

Editor: Lukáš Vartiak

Volume 111August 2024

Find articles

Proceedings of Finance's Role in the Just Transition - ICFTBA 2024

Conference website: https://2024.icftba.org/

Conference date: 4 December 2024

ISBN: 978-1-83558-611-2(Print)/978-1-83558-612-9(Online)

Editor: Ursula Faura-Martínez

Volume 110August 2024

Find articles

Proceedings of the Decoupling Corporate Finance Implications of Firm Climate Action - ICEMGD 2024

Conference website: https://www.icemgd.org/index.html

Conference date: 26 September 2024

ISBN: 978-1-83558-581-8(Print)/978-1-83558-582-5(Online)

Editor: Lukáš Vartiak

Indexing

The published articles will be submitted to following databases below: