Journal of World Economy

Rethinking Entrepreneurship for Sustainability: An Application of the Spirit, Body and Soul (SBS) Model to Developing Economies

2025-04-22T09:37:51+00:00

Entrepreneurship has truly driven the developed economies to growth and development, and the case of developing economies cannot be different. Despite the huge population and natural resource dominance of these economies, development in terms of infrastructure and growth has been distorted. This paper takes a critical look at the understanding of the concept of entrepreneurship with the aim of ensuring sustainable entrepreneurship in the developing economies. To achieve this, the paper examines the SBS model of entrepreneurship relating its applicability to the developing economies for there to be any form of sustainable development. Following the lead of scholars such as Baumol (1968); Dees (2001); Coyne & Leeson (2004); Austin et.al. (2006); Baumol & Strom (2007) Desai & Acs (2007); Schumpeter (2008); Boettke & Coyne (2009); Kirzner (2009); Simons et. al. (2011); Desai (2013); Lucas & Fuller (2015); Hippel (2017), the paper adopted the approach of giving ‘life’ to entrepreneurship through the application of the spirit, body and soul (SBS) model, where entrepreneurship or being enterprising is likened to the human ‘body’, entrepreneurial to the ‘spirit’, and entrepreneurialism to the ‘soul’ with the submission that sustainable entrepreneurship must connect the trio in the entrepreneur who is the ‘person’ that creates the product and the enterprise, as the ‘business’ that work in partnership to create sustainable development.

The Greatest Opportunities to Realize a New Understanding of Perfect Competition by Example of Hong Kong

2025-04-22T09:40:32+00:00

Abstract

Research on Automation and Efficiency Optimization in Intelligent Logistics Centers — Taking JD Logistics’ “Asia No.1” as an Example

2025-04-22T09:42:40+00:00

This study investigates how automation technology in intelligent logistics centers can significantly enhance logistics efficiency, taking JD Logistics’ “Asia No.1” smart logistics center as a case example. By analyzing the implementation methods of highly automated operations and their impact on operational efficiency, the research finds that large-scale application of artificial intelligence, big data, cloud computing, and robotics can build a comprehensive intelligent logistics system. This system achieves full-process intelligence and unmanned operations in logistics, greatly improving operational efficiency. In addition, the study explores the application effects of automation technology in different logistics links and provides insights for the design and management of future logistics centers.

The Effect of IFRS 16 on Corporate Lease Accounting in Australia

2025-04-22T09:44:20+00:00

The implementation of IFRS 16 has significantly altered corporate lease accounting by eliminating the distinction between finance and operating leases, requiring nearly all leases to be recognized on the balance sheet. This study examines the financial and strategic implications of IFRS 16 adoption in Australia, focusing on its effects on corporate financial statements, industry-specific challenges, market reactions, and regulatory responses. The findings indicate that IFRS 16 has led to increased reported liabilities, EBITDA inflation, and shifts in corporate lease management strategies, particularly in retail, aviation, and real estate sectors, where lease obligations are substantial. In response to these changes, firms have renegotiated lease terms, reconsidered asset ownership, and adjusted financing structures to mitigate the impact of higher reported debt levels. The transition has also influenced investor sentiment, initially causing stock price volatility, as financial markets adjusted to the new lease accounting framework. Additionally, credit rating agencies have reassessed corporate leverage ratios, resulting in credit rating adjustments for some lease-intensive firms. The study further explores potential refinements in disclosure requirements and regulatory guidance, emphasizing the long-term implications of IFRS 16 on corporate financing, investment decisions, and capital structure management. The findings suggest that while IFRS 16 has enhanced financial transparency and comparability, its implementation challenges require ongoing adjustments in accounting practices, investor analysis frameworks, and corporate financial policies.

Wealth Distribution and Class Reconstruction in the Context of Artificial Intelligence

2025-04-22T09:49:25+00:00

The rapid development of artificial intelligence technology is reshaping the global production system with unprecedented strength. In this process, the phenomena of imbalance in wealth distribution and class restructuring triggered by the technology have gradually exceeded the scope of explanation of traditional economics. In order to deeply understand this phenomenon, this paper adopts historical materialism as an analytic tool, aiming to reveal the deep mechanism of technological alienation in the era of artificial intelligence. It explores how the intelligence revolution has systematically reconfigured the labor value pattern, capital accumulation mode and social power structure, and these changes are profoundly affecting the logic of socioeconomic operation. On this basis, this paper further proposes a social governance path that conforms to the laws of technological civilization evolution, aiming at balancing technological development and social equity, ensuring that technological progress can benefit a wider range of social groups, and promoting the construction of a more harmonious and sustainable pattern of social development.

Data-Driven User Experience Optimization: Practices and Insights from the E-Commerce Industry

2025-04-22T09:51:53+00:00

In the fiercely competitive e-commerce market, user experience is a key factor that determines the success or failure of a platform. This paper takes the e-commerce platform of Shemanquban Supply Chain Co., Ltd. as the research object and explores how to optimize user experience through data analysis. The study focuses on the in-depth mining of user behavior data and proposes a multi-dimensional data-based user behavior analysis framework that can accurately identify the points for improving user experience. By optimizing page layout, interaction design, and employing technical means to shorten page loading time, the platform has significantly enhanced user satisfaction and page retention rate. Meanwhile, the implementation of a personalized recommendation system has increased user purchase conversion rate by 22%, significantly enhancing user stickiness. The results show that data-driven optimization strategies can significantly improve user experience and platform competitiveness, providing practical experience and theoretical support for user experience optimization in the e-commerce industry.

Navigating the Era of the Feeling Economy: Labor Market Shifts, Industrial Structure Transformations, and Strategic Policy Interventions

2025-04-22T09:53:45+00:00

Against the backdrop of the rapid development of AI, this study delves into how the “Feeling Economy” reshapes the labor market, industries, and consumer markets, and what challenges it brings. The main results highlight that the labor market is evolving from a “Thinking Economy” to a “Feeling Economy”. Demand for data analysis and basic computation is decreasing, while high-cognitive tasks are on the rise. This shift transforms industries via human-AI collaboration, hyper-personalization, and emotional branding. Consumer markets increasingly prioritize emotional connections. Nevertheless, challenges such as structural unemployment and data privacy issues surface. Thus, the government should conduct skills training, safeguard privacy, and regulate AI, and suppliers should enhance emotional value.