Abstract This paper presents a thorough examination of Sino–U.S. trade dynamics from 2008 to 2022, utilizing the Standard International Trade Classification (SITC) for commodity categorization. It employs essential trade indices, including the Revealed Comparative Advantage (RCA), the Trade Complementarity Index (TCI), and the Export Similarity Index (ESI), to assess trade competitiveness and complementarity. The RCA findings reveal China's persistent comparative advantage in sectors such as machinery and transport equipment (C7), with values predominantly exceeding 1. At the same time, the United States demonstrates significant advantages in chemicals (C5) and crude materials (C2), also with RCA values above 1. TCI analysis shows China's stability in C0 but declining complementarity in C2, whereas the US demonstrates increasing complementarity in C2, C5, C7, and C8. ESI results reveal high structural similarity in C7 and partial alignment in C8, suggesting potential for bilateral cooperation. The study recommends that both countries strategically leverage their respective strengths and pursue collaboration in areas with high complementarity to optimize trade outcomes in a shifting global economic landscape.

Abstract Changes in preferences of consumers and advancement in technology the banking industry has gone through a change and has resulted to newer forms of banks providing services. One such form is Neo Bank. High demand for Neobanks is caused by wide availability of cell phones and Internet. At the same time, there exist a big problem with the successful persuasion of clients to switch from traditional banking to mobile banking. This is because a great number of customers does not find mobile banking solutions acceptable rather they desire to communicate with banks through face to face contacts or telephonic conversations. In this context, we use Behavioural Reasoning Theory (BRT) an established IS research paradigm to explore the reasons for and against adoption of Neobanks. The data was gathered using netnography method and we have used Structure Topic Modelling (STM) to analyze the data. We extracted insights from the textual data, and performed sentiment analysis to determine how people felt about Neo Banks. According to the findings of our research, the reasons for adopting Neobanks are: Convenience and Digital Accessibility, Cost Savings, Personalisation together with Technological Integration, and Support for Small Businesses. The reasons given against Neobanks are: Security Concerns, Uncertainty in Regulations and Compliance, Problems in the Interface and Financial Literacy Issues, and Consumer Preferences for Traditional Banking. Testing and exploration prior to full adoption and, risk evaluation and value assessment are the variables that are associated with the Behavioural Intention, which is an individual’s conscious decision of performing or not performing a behavior and it is determined by reasons, beliefs and attitude behind it. This research has significant repercussions for managerial decisions and policymaking. To effectively implement strategies that enhance adoption, confidence, and accessibility while also fix unpredictability about legal and security issues, it is crucial for senior leaders of Neobanks, fintech businesses, regulatory bodies, and legislators to have a comprehensive understanding of such factors.

Abstract The study aims to explain the role of companies in economic development and how they can continue this development to achieve sustainable development, as there is no doubt that this is sustainability and that it will face challenges during the future The study addressed the concept of financial sustainability, the main factors of financial sustainability, what is the role of technology in achieving financial sustainability, and reviewed the different models in different industries that would contribute to development and achieving sustainable development. The study reached an explanation of the role of companies in sustainable development while maintaining financial sustainability. Identify deficiencies or areas for improvement, and implement strategies to increase revenues and reduce costs by addressing these problems.

Abstract Short-termism drives our industry’s hiring of new investment strategies and the firing of existing. Investors/advisors all too often, focus and base their decisions on the last “15-years,” falsely claiming that they’re considering the “long-run.” This is unusually true today, with the S&P 500 having returned almost 13% per annum over and above inflation since Feb 2009. The negative impact of this behavior is felt most severely by retirement savers due to the duration, size, and their heightened sensitivity to left-hand tail-risk (no retiree can tolerate running out of money, and will do almost anything to avoid such an outcome). The objective of this article is to present a twelve-step process that if implemented correctly should mitigate the lion’s share of this problem. To make the proposed solution understandable, immediate, and resonate, we use the strawman of TAA (Tactical Asset Allocation) as the investment strategy/approach under review/scrutiny. TAA was selected because it most clearly represents the challenge. TAA’s unusually easy to define, has a clearcut documented history, data is readily available, and it classically represents the problem examined herein, i.e., TAA quintessentially represents the challenge of decisions based on recent performance.