International Journal of Advances in Business and Management Research (IJABMR)

The Evolution of Digital Transformation in Chinese Manufacturing: A Review Amidst the Drive for High-Quality Development

Chen Huihong — 2025-06-12

Chinese businesses now have more chances than ever before to achieve high-quality development because of the rise of the digital economy. There are several issues that have arisen as a result of digital transformation in Chinese manufacturing enterprises. These include a severe lack of digital transformation talent, an incomplete pattern of collaborative innovation throughout the industrial chain, and a lack of a solid foundation for digital transformation in Chinese enterprises. Using findings from field investigations and literature reviews, this paper lays out a theoretical framework and process for digital transitions in enterprises. It then proposes a top-tier design that includes data resource accumulation, digital platform, and the construction of a benign collaborative ecological system. All of this will take place against the backdrop of developing high-quality digital transformation and the trajectory for the growth. The significance of digital transformation and its role in helping companies maintain market competitiveness of economies. However, environmental, social, and institutional factors are also affected by disruptive changes that happen at the corporate level. Because of this, a broad variety of issues related to digital transformation have been extensively studied in academic literature during the 20 years.

A Look at How Climate Bonds Can Help Emerging Markets Grow Their Economy- An Analysis Based on Newly Industrialised Countries (NICs)

Nithin. S — 2025-06-12

This current study investigates the key causes that have been driving the green bond market over the past several years, as well as the constraints that prohibit emerging nations from accessing this market. A greater awareness of climate change among investors appears to be supporting the development of green bonds, which appear to be a reality in both developed and developing nations. It also indicates that climate bonds are becoming more prevalent in the financial market. On the other hand, the market in developing countries is still in its early phases, and it appears that its full potential is not being fully appreciated. The key difficulties inhibiting the growth of green bonds in developing nations include the lack of appropriate institutional structures for managing climate bonds, the issue of minimum size requirements, and the high transaction costs associated with issuing these bonds. These difficulties are preventing the growth of climate bonds in developing countries. Overall, the current study focuses on specifying investment strategies for climate bonds that are essential for NICs. The study focusses on establishing a relationship among climate bonds and the economic growth of NICs, using data from 2014 to 2023, with respect to the Great British Pound (GBP), Euro (EUR), Chinese Yuan (CNY), and Japanese Yen (JPY). The integration of the data resulted in a model analysis using the Panel Auto Regressive Distributed Lag (PARDL), which ultimately demonstrates that EUR- and CNY-issued climate bonds have the most significant impact on developing economies. This will ultimately help a country to concentrate on sustainable economic development built on the climate finance bonds, giving priority in these two currencies. Furthermore, it will ultimately reduce the need for unnecessary foreign aid – an external burden for growing economies.

Investment Intentions Among Early-Career Professionals in Dakshina Kannada District in India: A Behavioral Perspective

Raghavendra — 2025-06-12

This study investigates the key factors influencing investment intentions among early career professionals in Dakshina Kannada, focusing on attitudes, subjective norms, perceived behavioural control (PBC), self-efficacy, and investment intention. A quantitative survey method was adopted involving 220 participants selected through stratified random sampling across five talukas: Mangaluru, Puttur, Moodabidre, Sullia, and Mulki. The data collected via both offline and Google Forms included variables related to investment behaviour and demographics. Descriptive statistics were used to summarise participants’ profiles, and Smart PLS was employed to test the proposed hypotheses and explore variable relationships, including the mediating role of self-efficacy. The findings reveal that attitudes, subjective norms, and PBC significantly influence investment intentions. Moreover, self-efficacy partially mediates the link between PBC and investment intentions, highlighting the importance of confidence in managing financial decisions. This study underscores the value of financial literacy and personal beliefs in investment capabilities as drivers of investment behaviour. The practical implications suggest that financial education programs should aim to build both knowledge and confidence. Additionally, leveraging social influence and improving access to investment resources can enhance investment engagement. This study offers valuable insights for educators, policymakers, and financial institutions aiming to foster investment among young professionals.

The Impact of Social Media on Mental Health and Well- Being on Students

Mohammad Imtiaz Hasan — 2025-06-12

This paper's goal was to examine how social media affects undergraduates' mental health and general well-being. Social media's pervasive usage in the contemporary digital era has fundamentally changed how individuals interact with one another. Although social media facilitates information exchange and social relationships, there are increasing concerns regarding its detrimental effects on mental health. The study examines previous research and literature and offers a thorough analysis based on various research findings, professional judgements, and long-term investigations. It begins by outlining social media's diverse applications and impacts. The impact of social media on fostering emotional experiences, self-esteem, and interpersonal interactions is then examined. This study examines social media's influence on mental health, both good and bad. Increased social support, community development, and opportunities to learn about mental health are all positive features. On the other hand, drawbacks include the possibility of addiction, excessive social comparison, and cyberbullying. Four questions were used to gather data, and a modified Likert scale was used for analysis to identify the social media sites that are most influencing students' lives.

Customization and Personalization: Driving Engagement and Loyalty in the Digital Marketplace

Sneha Motlani — 2025-06-12

Purpose:The Purpose of this paper is to systematically review the literature available on the concepts of customization and personalization within the framework of digitized market structure. Being a customer centric era, the research aims at analyzing and evaluating the impact of these strategies on the customer engagement and customer loyalty taking into consideration the current trends, implications and challenges. The paper also delves into the role of Artificial intelligence and technological advancements in shaping branding strategies. Design/methodology/approach: The Systematic Literature Review(SLR) method is used to critically evaluate the existing literature on personalization and customization in branding. The in depth study of various relevant academic work provides a clear and holistic understanding of the topic. Findings: The digital era has revolutionized the approach and the experience that the companies are providing to the customers. Personalization and customization backed up with Artificial intelligence are playing a major role in increasing the customer satisfaction by providing tailored products and services.This ultimately impacts the customer connections and loyalty towards the brands in a positive way. Although a major challenge is the existence of privacy concerns due to personalization. The marketers can overcome this by balancing this concern with the privatization and standardization. Practical implications: The marketers should utilize the consumers demand with the help of customer interactions to effectively craft their branding strategies and increase customer engagement and loyalty.

A Study on Hybrid Recommender Systems for Effective Targeted Marketing in E-Commerce Platforms

Sanjukta Chakraborty — 2025-06-12

In the rapidly evolving world of digital commerce, offering tailored user experiences has emerged as a key factor in driving long-term success and staying ahead of the competition. With users generating vast amounts of behavioural data across various digital channels, e-commerce platforms face the dual challenge of interpreting this data effectively and translating it into actionable marketing strategies. Recommender systems have proven instrumental in this regard, offering predictive insights into consumer preferences. Conventional recommendation techniques, including collaborative filtering and content-based approaches, often struggle with limitations such as sparse data availability, cold-start problems, and a lack of contextual depth when used in isolation. To overcome these barriers, hybrid recommender systems have emerged as a robust solution, integrating multiple algorithmic strategies to deliver more precise, varied, and scalable personalized suggestions. This study investigates the application of hybrid recommendation models within targeted marketing frameworks in e-commerce. It examines various hybridization techniques, such as weighted, mixed, and switching models, and their effectiveness in tailoring product suggestions to user behaviour patterns. By analysing real-world e-commerce data, the research examines essential performance indicators such as click-through rates, conversion metrics, and the overall lifetime value of customers. Moreover, the research explores how insights from hybrid systems can be integrated into campaign automation tools, creating adaptive feedback loops for marketing optimization. Beyond algorithmic performance, the study addresses critical concerns including user privacy, algorithmic interpretability, and ethical personalization. The role of explainable AI (XAI) in enhancing user trust and regulatory compliance is also examined. Ultimately, this work offers a holistic framework for leveraging hybrid recommender systems to build responsive, user-centric digital commerce strategies.