Abstract: This paper investigates the connotation of new quality productivity, integrating existing research findings to construct a measurement index system tailored for our country, and conducts an in-depth analysis of its impact on economic growth. The study utilizes provincial panel data from Chinese provinces spanning 2012 to 2022. The results indicate that, in contrast to prior studies, new quality productivity influences economic growth not only through supply-side mechanisms but also plays a pivotal role in demand-side transmission; notably, the upgrading of consumption structures and the expansion of investment domains exert both direct and indirect effects. Accordingly, this paper proposes relevant policy recommendations. The innovative aspects of this study are as follows: 1. Measuring new quality productivity across multiple dimensions by incorporating environmental and ecological factors while exploring its transmission mechanism from the demand side; 2. Introducing dynamic quantitative analysis to simulate the operational mechanisms of new quality productivity on consumption and investment; 3. Empirical tests demonstrate that after addressing issues related to heterogeneity, endogeneity, and robustness, the transmission mechanism of new quality productivity remains significant and robust.

Abstract:

Organizational excellence has emerged as a critical objective for businesses striving to remain competitive in dynamic and uncertain environments. Effective managerial practices, particularly in strategic leadership, communication, and innovation, are often identified as the primary drivers of organizational success. This study aims to provide empirical evidence to validate the relationship between these managerial practices and organizational excellence through a quantitative approach. Drawing upon theoretical frameworks such as the EFQM Excellence Model (EFQM, 2013) and the Balanced Scorecard (Kaplan & Norton, 1996), the research explores how management strategies influence performance metrics, employee satisfaction, and overall operational efficiency. A structured survey was administered to 150 employees across three key sectors—education, healthcare, and industry—in Saudi Arabia. The survey evaluated participants' perceptions of their organization’s leadership, internal communication systems, and innovation-driven practices. The findings confirm that strategic leadership is the most significant determinant of organizational excellence, accounting for 42% of the variance in performance outcomes. Moreover, internal communication was found to be positively correlated with employee engagement and alignment with organizational goals, as supported by Larkin and Larkin’s (1994) communication theories. The study also corroborates Schumpeter’s (1934) theory on innovation as a critical driver of organizational development, demonstrating that organizations fostering innovation reported a 28% improvement in key performance indicators. This research not only validates the theoretical underpinnings of effective managerial practices but also provides actionable insights for organizations seeking to enhance their operational excellence. Recommendations include investing in leadership development programs, implementing advanced communication systems, and fostering a culture of innovation to sustain competitive advantage. The study contributes to the broader discourse on organizational performance management and offers a foundation for future research on the longitudinal effects of managerial practices in diverse business contexts. Key references that frame this study include Kotter’s (1990) leadership principles, Kaplan and Norton’s (1996) performance measurement methodologies, and Schumpeter’s (1934) innovation theories. By integrating these frameworks with empirical evidence, the study affirms the indispensable role of effective management in achieving and sustaining organizational excellence.

Abstract: This study explores the long-run relationship between environmental footprint (EnF), renewable energy consumption, energy use, industrial growth, and urbanization in Saudi Arabia from 1990 to 2023, employing the Autoregressive Distributed Lag (ARDL) model, alongside Fully Modified Ordinary Least Squares (FMOLS), Dynamic Ordinary Least Squares (DOLS), and Canonical Cointegrating Regression (CCR) for robustness checks. Results indicate a significant long-term relationship among the variables, with renewable energy adoption emerging as a crucial factor in reducing carbon emissions. The ARDL bounds test confirms the existence of cointegration, re-vealing the dynamic interplay between renewable energy, economic growth, and environmental sustainability. The findings show that renewable energy consumption significantly reduces en-vironmental footprint (CO2 emissions), supporting Saudi Arabia's Vision 2030 goals for economic diversification and sustainable development. However, industrial expansion, while critical for economic growth, still contributes to increased emissions, underscoring the need for further in-vestment in clean technologies. The study also highlights the role of urbanization, which, while essential for development, poses challenges for environmental sustainability. Short-term dynamics, represented by the Error Correction Model, indicate a fast adjustment speed toward equilibrium, with deviations corrected by approximately 52% each period. The study offers valuable insights for policymakers aiming to balance industrial growth with environmental protection, emphasizing the need for strategic investments in renewable energy and energy efficiency. This research contributes to the understanding of energy-economy-environment interactions in oil-rich economies, providing a foundation for future studies to explore the impact of advanced technologies and policy interventions on sustainable development Keywords: Environmental Footprint; Co-integration; Renewable energy; Industrialization; Energy

Abstract: Real estate plays a pivotal role in the contemporary world, accounting for over half of global wealth and significant employment and GDP shares. This essay examines three key events of our times - the 2007-2008 Global Financial Crisis (GFC), the COVID-19 pandemic, and recent technological revolutions - to place real estate's centrality. Analyzing housing price indexes in major economies, the paper identifies global trends and regional nuances, and it highlights real estate's dual role as both a reflection and driver of economic cycles. Then I explore in detail the GFC, the urban roots of COVID-19 and its effects on real estate markets, and the relationship between new techno-economic paradigms and cities and real estate. Future research directions on real estate are pointed out.

Abstract: This study examines the association between managerial ability and audit pricing in the Nigerian banking sector between 2011 and 2022. Using a multi-theoretical framework, audit pricing is regressed on managerial ability using shape-restricted regression splines comprising restricted cubic splines, monotone spline, integrated spline, integrated basis spline, basis spline, natural cubic spline, and integrated natural cubic spline. Managerial ability is proxied using bias-corrected two-stage bootstrapped truncated regression. Consequently, managerial ability is classified into low, intermediate, and high-ability regions. Audit pricing is proxied by audit fees. The results show three knots demarcating the boundaries of four segments, indicating non-linearity. Furthermore, the results reveal that the effect of managerial ability on audit pricing is insignificantly negative in the low-ability region, statistically positive in the intermediate-ability region, and statistically negative in the high-ability region. The study recommends continuous learning and training programmes aimed at improving managers’ abilities.

Abstract:

Purpose: The study aims to analyze forecast errors for various time series generated by a 3PL logistics operator across ten distribution channels managed by the operator.

Design/methodology/approach: The research focused on ten distribution channels served by a 3PL logistics operator utilizing the Google Cloud AI forecasting tool as part of the Google Cloud AI service. The R environment was used in the study. The research centered on analyzing forecast error series, particularly decomposition analysis of the series, to identify trends and seasonality in forecast errors.

Findings: The analysis of forecast errors reveals diverse patterns and characteristics of errors across individual channels. Statistical tests for various channels show significant differences in forecast error groups in some cases, suggesting that the forecasting tool may perform more accurately for certain channels than others. A systematic component was observed in all analyzed Household Appliance Channels (seasonality in all channels, and no significant trend identified only in Channel 10). In contrast, significant trends were identified in one Pharmaceutical Channel (Channel 02), while no systematic components were detected in the remaining channels within this group.

Research limitations: Logistics operations typically depend on numerous variables, which may affect forecast accuracy. Additionally, the lack of information on the forecasting models, mechanisms (black box), and input data limits a comprehensive understanding of the sources of errors.

Value of the paper: The study highlights the valuable insights that can be derived from analyzing forecast errors in time series within the context of logistics operations. The findings underscore the need for a tailored forecasting approach for each channel, the importance of enhancing the forecasting tool, and the potential for improving forecast accuracy by focusing on trends and seasonality. This analysis makes a significant contribution to the theory and practice of demand forecasting by logistics operators in distribution networks. The research offers valuable contributions to ongoing efforts in demand forecasting by logistics operators.

Keywords: time series of forecasting errors, 3PL, logistics operator, demand forecasting, distribution channels,

Abstract: This study investigates whether a model combining financial ratios and non-financial variables can predict audit opinions (qualified or unqualified) for firms listed on the Athens Exchange (ATHEX) from 2018 to 2022. Using 450 firm-year observations from 90 non-financial firms, we applied a probit regression model to examine the impact of 11 financial ratios and non-financial factors such as auditor quality, auditor turnover, and corporate performance. Our findings reveal that financial ratios and auditor characteristics, particularly auditor quality, have significant explanatory power in determining audit opinions. The model offers practical benefits for auditors, enabling them to predict audit opinion types, assess client risks, define audit scope, and reduce litigation risks. These insights are particularly relevant in emerging economies like Greece, where audit risk and firm failures are heightened. The study highlights the importance of financial and non-financial variables in identifying material misstatement risks, consistent with International Standards on Auditing (ISA 520). However, its findings are limited by the small sample size and Greece's specific economic and regulatory context. Future research should explore the model’s applicability to larger and more developed markets.

Abstract:

The influence of country of origin on consumer perceptions and purchase decisions is a well-researched topic in marketing and international business. This review of 67 articles highlights that country of origin significantly impacts how consumers perceive product quality, value, and prestige, influencing their early decision-making processes. However, the ultimate impact on purchase choice is less clear when considering other product and brand factors. The review emphasizes the context-specific nature of these effects, influenced by product stereotypes, consumer characteristics, and changing national reputations in a globalized market. As production becomes more globalized, a nuanced understanding of country of origin is needed, considering multiple origin facets throughout value chains. Further research is needed to explore these influences in blended sourcing environments and evolving perceptions of developing economies. Adapting measurement approaches to reflect contemporary global realities is crucial for leveraging country equity effectively in a complex, interconnected world.

Abstract:

As the world grapples with the compounding crises of environmental degradation, social inequality, and economic instability, the imperative for a radical rethinking of prevailing financial systems and economic governance frameworks has never been more pressing. Drawing on the transformative principles of Innovationology, a pioneering new science, this article offers an exploration of how the field of finance can be reimagined and reinvigorated to drive sustainable, equitable progress on a global scale. Transcending the limitations of neoclassical economic models and shareholder-centric approaches to value creation, Innovationology-informed finance provides a comprehensive, systems-oriented lens for understanding the complex, interdependent relationships between monetary systems, financial markets, and the broader social and ecological context. By embracing the core principles of Innovationology - collaborative governance, value-driven innovation, and adaptive resilience - this framework empowers policymakers, financial practitioners, and civil society actors to anticipate emerging economic and financial risks, respond to disruptive shocks, and continuously evolve innovative solutions to address the world's most pressing challenges. Through in-depth case studies and interdisciplinary analyses, the article delves into pioneering initiatives that have harnessed the power of Innovationology to redefine the role of finance in driving sustainable, equitable development, from innovative public-private investment mechanisms that channel resources towards regenerative, community-oriented projects to collaborative platforms that are reshaping the rules and practices of global financial governance. It unpacks how these initiatives have navigated the entrenched power dynamics and narrow profit-maximizing incentives that have historically undermined the potential of finance to serve the broader public good. Crucially, the article also examines the profound implications of Innovationology for the future of economic policymaking, the role of emerging and developing economies in shaping global financial systems, and the potential for more inclusive, sustainable models of value creation and distribution. By positioning Innovationology as a vital lens for reframing the study and practice of finance, this article offers a bold, visionary pathway for cultivating the collaborative, adaptive capacities necessary to address the world's most pressing challenges and unlock a more equitable, regenerative global future.

Abstract: The study aims to examine the enterprise risk management (ERM) practices of Ethiopian commercial banks. This approach is undertaken to examine the current approach to enterprise risk management within the Ethiopian banking context. Mixed methods research design is employed which comprises content analysis and survey. The study found that the prevailing emphasis of risk management functions in Ethiopian commercial banks revolves on ensuring compliance with regulatory reporting standards. A significant number of the banks have implemented ERM programs primarily to meet regulatory obligations, rather than leveraging ERM to generate firm value. The study identified several gaps in the risk management function of Ethiopian commercial banks, including: lack of integration of risk management with the banks' mission and core values, failure to assess the resources required for effective risk management and to prioritize resource allocation accordingly, inadequate coverage of relevant activities and functional areas by both risk management and internal audit activities, and limitations on the assignment of Chief Risk Officers (CROs) to oversee the risk management function within the banks. Overall, the maturity level of ERM implementation among Ethiopian commercial banks is moderate and requires further enhancement.