Organizations and Markets in Emerging Economies
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The Dark Side of The Moon: Unmasking Behavioral Risk Behind Fintech Adoption Among Digital Natives
The rapid expansion of financial technology ( fintech) has reshaped financial behavior, especially among digital natives in Indonesia. This study examines the impact of financial inclusion and financial literacy on online loan decisions and impulsive buying behavior, with online loan decisions serving as a mediator. A survey was conducted with 334 respondents, focusing on digital natives who have used online loan services. Using Structural Equation Modeling (SEM), the study found that financial inclusion positively influences online loan decisions, while financial literacy negatively impacts both online loan decisions and impulsive buying behavior. Notably, online loan decisions partially mediate the relationship between financial inclusion, financial literacy, and impulsive buying behavior. These findings highlight the complex role of fintech in promoting financial inclusion while also introducing behavioral risks. The study underscores the importance of financial literacy in mitigating impulsive financial behaviors among digital natives
COVID-19 Effect on Accelerating Technology and Innovation in Businesses
This paper assesses empirically the COVID-19 effect on businesses and the potential dynamic changes regarding post-COVID-19 automation and technology penetration using various logistic regression models. A field survey was used to collect the necessary data for testing various hypotheses. This study demonstrates the severity of the pandemic on businesses and how it has changed their perspectives on technology as a critical aspect of survival and future success. The results showed that capital-intensive firms are more resilient to the crisis. In addition, the firms that were affected severely in terms of employment due to the pandemic believe that technology will significantly impact hiring, investment, and value added. This paper investigates a unique phenomenon represented by COVID-19, its impact on businesses in a resource-rich context and their responsiveness concerning technology deployment and automation
Examining the Impact of Bank Cost Efficiency on Non-Performing Loans in a Dollarised Economy: Evidence from Zimbabwe
This paper investigates the effects of cost efficiency on non-performing loans (NPLs) in Zimbabwe during dollarisation. The research applies the random effects and bootstrap quantile regression models using the full dollarisation era dataset for 13 banks from 2009 to 2017. The obtained results revealed that: (i) the average cost efficiency score for the Zimbabwean banking industry is 81.36%, (ii) improvement in cost efficiency leads to an increase in NPLs but begins to fall for a cost inefficiency level of 7.14% and below, (iii) the effect of bank cost efficiency on NPLs is prominent and highly significant at a higher quantile (90th), (iv) the interaction effect between cost efficiency and bank size on NPLs is negative and significant. According to these results, NPLs tend to fall when large banks are more cost-efficient. Thus, the present study recommends that banks employ strategies that simultaneously improve the asset base and cost efficiency
Unveiling Green Supply Chain Practices: A Bibliometric Analysis and Unfolding Emerging Trends
Supply chain management is a multi-dimensional approach. Growing eco-consciousness has forced businesses to optimize operations and incorporate green practices across all the stages of supply chain in manufacturing and service sectors. Reviewing the past research literature propels us to understand its current and future prospects. Employing a systematic analysis, this research explores the intellectual structure of green supply chain practices and their connection to performance outcomes in various industries. This study covers a systematic literature review, content analysis, and bibliometric analysis on green supply chain management using VosViewer. It utilizes a PRISMA-guided screening method for identification, screening, eligibility and inclusion of literature from the literature available since 1999. The bibliometric analysis reveals key contributors, thematic clusters, prevailing theoretical frameworks, and emerging research trends in the domain of green supply chain management. China, followed by the United States and the United Kingdom, emerged as leading contributors to research in this area, driven by rapid economic growth, heightened environmental concerns, and well-established academic and industrial infrastructures. The study identifies eight thematic clusters within green supply chain management, including the triple bottom line, circular economy, and carbon emissions. The most highly cited papers within these clusters were examined for their methodologies, tools, and key findings, highlighting the prominent theories utilized in this field. Moreover, the research discusses how advanced technologies such as AI, blockchain, and big data analytics are poised to transform supply chains by enhancing decision-making and mitigating risks, thus playing a pivotal role in the future of green supply chain management
A Study of Determinants of Intellectual Capital Performance in Firms: The Vietnamese Case
This research examines determinants of intellectual capital (IC) performance in firms in Vietnam during the period 2007–2022 through employing the system generalized method of moments (SGMM) and the structural equation model (SEM). Our findings show that market capitalization (MC), sales growth, profitability, leverage, FDI, inflation and GDP significantly affect IC performance. Global crises influence it negatively and have a moderating effect on IC performance through MC, sales growth, and return on asset. This research contributes to the existing literature by examining IC performance with a consideration of the effect of the global crises and analyzing the moderating effect of the crises on IC performance. It also contributes to the literature by adding and examining the effect of MC on IC performance
How Productivity and Trade Liberalization Can Affect the Economies of Developing Nations is Illustrated by the Vietnamese Manufacturing Sectors Case
This article proposes a model to examine the impact of trade liberalization on productivity growth in developing countries, exemplified by Vietnam, which is positioned at a technological distance from the frontier. Built upon the Schumpeterian framework and Total Factor Productivity (TFP) analysis, the study illustrates that free trade can directly influence the technological gap of a small developing nation by necessitating the importation of all intermediate goods from its dominant trading partner, a developed country. Moreover, trade liberalization has a negative impact on Vietnam’s productivity growth, with domestic competition and trade barriers emerging as significant factors. Additionally, the research concludes that the national economic policies of Vietnam during the 2016–2020 period were ineffective, partially attributed to the failure of state-owned enterprises. As a result, international trade openness may lead to enduring adverse consequences for smaller developing countries, like Vietnam, and serves as a noteworthy example of diminishing innovation
Bank Diversification, Competition and Earnings Opacity
The paper explores the impact of bank diversification on earnings opacity. We aim at offering a comprehensive analysis by focusing on four dimensions of diversification: income, assets, funding, and loan portfolios. Using data from Vietnam over the period 2007–2022, we document consistent and robust evidence that increased diversification across all forms mitigates earnings management via discretionary loan loss provisions. To shed further light on this pattern, we examine how the banking complexity and opacity nexus varies with multiple measures of bank competition. We find that more intense competition in the banking system likely accentuates the impact of diversification on bank earnings manipulations. Our findings provide important implications related to bank business models and banking market structures in the era of financial deregulation and innovation
Contrasting the Performance of Active and Passive Unit Trusts under Normal Market Conditions: Is the Experience of Emerging Markets Different?
The predominant tradition in the literature is to scrutinise the competitive performance of passive and active investment strategies with less regard to the prevailing market climate. The thesis of this paper is that volatile market conditions may necessitate investment strategy adjustments. Such readjustments may confound empirical comparison of passive and active investing if econometric models do not adapt accordingly. Currently, the literature cannot give a stylised fact of whether the historical claims of passive–active relationships relate to normal market conditions or not, which is a flaw. The present study reduces the flagged knowledge gap by answering the question whether passive investment outperforms active investing under normal market conditions. The study applies the parametric and non-parametric risk-adjusted models of the Jensen alpha and Sharpe index. The empirical analysis is based on the weekly returns of 16 unit trusts listed on South Africa’s Johannesburg Stock Exchange for ten years (between 2009 and 2019). Consistent with the hypothesis of inefficient capital markets in developing economies, the study finds that active investing significantly outperforms passive investment strategy under normal market conditions. The results should benefit investors and policymakers in the era of increasing competitiveness, digitalisation, and globalisation