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The purpose of this study is to examine the dynamic relationship between intellectual capital (IC) and its components on financial performance of banks within the selected eight countries of Association of Southeast Asian Nations (ASEAN).

The study utilizes the balanced panel data of 37 publicly listed banks from eight leading ASEAN economies for the period of 2017–2021. In this sense, the authors applied the Ante Pulic's typology, i.e. value-added intellectual coefficient (VAIC™) to evaluate the efficiency of intangible and tangible assets. While, investigating the dynamic nature of relationship, the authors employed the generalized system method of moments because of its power to account for the problem of endogeneity and heteroscedasticity.

The results of the study demonstrate that banks in ASEAN countries shed a varied degree of a spotlight on VAIC™ and its components to create value. The findings revealed that structural capital efficiency is significantly associated with earning per share (EPS), return on assets (ROA) and return on equity (ROE), compared to human capital efficiency (HCE) and capital employed efficiency of ASEAN banks. These results endorse the importance of resource- and knowledge-based views of organizations to leverage the financial performance of banks. However, contrary to theoretical expectations, this study found no positive relationship between HCE with ROA and ROE. Whereas, the relationship of VAIC™ is positive and significant with EPS and ROE but it remains statistically very marginal.

There are some inherent limitations in this study that could be opportunities for future research. The current study uses the VAIC™ typology, but future researchers can use the modified value-added intellectual coefficient (MVAIC) or triangulation approach to enhance the validity and reliability of the study. Additionally, future research can investigate the similarities and differences among countries in terms of their cultural backgrounds and regulatory frameworks regarding the disclosure of intangibles. Furthermore, future research can increase the length and sample size of the study to enhance its generalizability.

The robust empirical findings extend the academic debate on IC by unveiling the dynamic nature of relationship between IC and financial performance in context of ASEAN banking sector. The findings provide plausible recommendations for policy makers (managers, regulators and stakeholders) to understand how to increase the IC efficiently, especially human capital as a source to evaluate the firms’ ability in determining value-added and financial performance. Further, findings of this study also suggest that how can policy makers get the benefit by investing more on structural capital as a valuable strategic source to guarantee the optimal performance returns.

Prior studies on IC have been country- and firm-specific, utilizing cross-sectional research designs. However, this research contributes to the limited literature by investigating the dynamic nature of the relationship between IC and financial performance of banks in the context of ASEAN countries using micro-panel data.

The purpose of this paper is to respond to the existing gap in the literature and analyze empirically the mediating role of potential absorptive capacity and innovation capacity in the relationship between socio-cognitive capital and new product performance in tourism businesses.

Partial least squares structural equation modeling (PLS-SEM) was applied to measure the effect of independent variables and mediators on the results of new products through information collected from 300 companies through a structured questionnaire applied to tourism companies.

Important findings are presented demonstrating the positive and significant influence of cognitive social capital on the results of new products; however, this is not enough, so the potential absorption capacity and the capacity for innovation play a very important role in improving the effect on the results of new products. The findings suggest that organizations should direct their culture and shared goals toward assimilation and knowledge and the development of innovation capabilities in order to obtain more successful new product results.

The study adds value to the study of social capital by analyzing social cognitive capital and its impact on new product performance. In contrast to previous studies, it suggests incorporating potential absorptive capacity and innovation capacity as mediating variables in a comprehensive model that illustrates the positive spillover effect, thereby enhancing the outcomes related to new product performance.

本文旨在處理現存文獻內的研究缺口。研究人員以實證研究法、去分析於旅遊業內潛在的吸收能力和創新能力在社會認知性資本與新產品性能之間的關聯上所扮演的協調角色。

研究人員以結構型問卷向300間旅遊公司收集資料和數據,並使用偏最小平方法的結構方程模型 (PLS-SEM),去測量各自變數與協調者對新產品的成效所產生的影響。

研究結果頗為重要,因它證明了認知性社會資本,對新產品的成效會產生積極和重大的影響。唯這仍不足夠; 研究結果更確認了潛在的吸收能力和創新能力在優化新產品成效所帶來的影響方面,確扮演著極其重要的角色; 因此,研究結果建議組織應引導其文化和共同目標,走向知識同化和發展創新能力的道路上,以獲取更成功的新產品成效。

本研究分析社會認知性資本及它對新產品成效的影響,就此而言,本研究增添了研究社會資本的價值。與過去的研究相比,本研究建議設計一個顯示積極的溢出效應的全面性模型,當中包含潛在的吸收能力和創新能力,作為中介變數,因此,與新產品性能有關的成果得以提昇。

The business landscapes in Asia and Africa are predominantly characterized by small and medium enterprises (SMEs) facing significant resource constraints. Understanding the capability dynamics of these enterprises in such contexts carries significant implications for theory and practice. This paper aims to addresses a crucial question of whether increasing customer involvement capability consistently yields the necessary rent for enterprises operating under resource constraints in emerging markets in Asia and Africa. By investigating this question, the paper offers SMEs a more nuanced approach to capability development, enabling them to achieve better returns on their investments.

To ensure the robustness of the findings, data were collected from SME service firms operating in two emerging economies: India (Asia) and Ghana (Africa). Data were collected in two waves to allow for catering to specific environmental conditions not accounted for in the study. Two-stage data analysis was then conducted to test the hypothesized relationships across the two countries.

The findings reveal that customer involvement capability does not always lead to an increase in firm-level competitiveness, and the effect follows an inverted U-shaped pattern. However, the nature of this relationship varies under different market conditions in both contexts. Specifically, in periods of low customer demand and intense competition, the relationship is linear and positive. On the other hand, in periods of high demand and competition, the relationship becomes inverted U-shaped, returning to a direct relationship with firm-level competitiveness.

This paper provides a resolution to the critical issue of whether customer involvement capability consistently delivers firm performance benefits, particularly for resource-constrained SMEs in emerging markets. By explaining how SMEs in emerging markets can fully capitalize on their capability development to optimize their resources, this paper makes a distinctive contribution. Moreover, it sheds light on the importance of aligning involvement capabilities with prevailing market conditions for SMEs to reap the maximum benefits.

The study explores how Taiwan’s electronic health data systems can be used to build algorithms that reduce or eliminate medical errors and to advance precision medicine.

This study is a narrative review of the literature.

The body of medical knowledge has grown far too large for human clinicians to parse. In theory, electronic health records could augment clinical decision-making with electronic clinical decision support systems (CDSSs). However, computer scientists and clinicians have made remarkably little progress in building CDSSs, because health data tend to be siloed across many different systems that are not interoperable and cannot be linked using common identifiers. As a result, medicine in the USA is often practiced inconsistently with poor adherence to the best preventive and clinical practices. Poor information technology infrastructure contributes to medical errors and waste, resulting in suboptimal care and tens of thousands of premature deaths every year. Taiwan’s national health system, in contrast, is underpinned by a coordinated system of electronic data systems but remains underutilized. In this paper, the authors present a theoretical path toward developing artificial intelligence (AI)-driven CDSS systems using Taiwan’s National Health Insurance Research Database. Such a system could in theory not only optimize care and prevent clinical errors but also empower patients to track their progress in achieving their personal health goals.

While research teams have previously built AI systems with limited applications, this study provides a framework for building global AI-based CDSS systems using one of the world’s few unified electronic health data systems.

We study the role of having an audit committee (AC) as a signal of firm quality and as a monitoring device of the information quality contained in the listing prospectus.

Ordinary Least Squares regressions are used to examine the association between the presence of an audit committee and (1) the initial return (IR), and (2) the earnings forecast error in the listing prospectus in a sample of 55 Real Estate Investment Trusts that went public on the BME Growth market during 2013–2022. Heckman two-step estimation procedure to correct for endogeneity and bootstrap are used for robustness.

We show that IR and earnings forecasts are significantly affected by the presence of AC. The IR is higher and the earnings forecast included in the prospectus are of higher quality in firms with AC.

Our research provides (1) managers with new tools when deciding on their corporate governance structure in the listing process, (2) specific evidence for regulators on the role played by ACs in the process of going public, which may be useful in the context of the ongoing regulatory changes regarding admission processes in Europe, and (3) society with a sign that AC can enhance investor and public confidence in financial markets and foster a more stable and transparent investment environment.

The adoption of an AC is voluntary in this market, so this discretionary decision provides an exceptional opportunity to conduct such an analysis. Additionally, this issue has not been previously analysed in Europe.

我們擬探討審計委員會在作為是公司質素的一個信號, 以及在作為是監控上市招股書內資料質素的一個機制所扮演的角色。

研究人員使用普通最小二乘法回歸模型, 去探討審計委員會的存在與 (一) 初期回報、和 (二)上市招股書內收益預測的錯誤兩者之間的關聯。研究的樣本為55個於2013年 至 2022年間在 BME Growth 市場上市的不動產投資信託。研究人員使用自助法和可幫助修正內生性問題的赫克曼兩階段回歸, 以達數據的穩健性。

研究結果顯示, 審計委員會的存在會顯著地影響初期回報和收益預測。若公司採用審計委員會, 初期回報則會較高; 而且, 招股書內的收益預測也顯示較高的質素。

由於採用審計委員會與否在這研究的有關市場內純基於自主的決定、而非屬強制性, 因此, 與這決定有關的課題為學者提供了特殊的研究機會。再者, 在歐洲至今似仍未有學者曾嘗試探討這個課題。

本研究帶來以下實務方面的啟示: (一) 當經理需決定其在上市過程中的公司治理結構時, 本研究為他們提供了新的工具給他們使用; (二) 本研究為調控者就公司上市過程中審計委員會所扮演的角色提供具體的證據。而這因歐洲正進行更改與批核上市有關的規管而可能使其產生用處; (三) 本研究為社會提供一個信號, 顯示審計委員會不但可增強投資者和大眾對金融市場的信心, 而且還能培育更穩定和透明的投資環境。

公司治理、審計委員會、上市、初期回報、盈餘預測、不動產

This study aims to explore the holistic context of organisational staff retention in small, medium and large organisations. It also aims to identify the factors affecting the retention of organisations of different sizes.

The study implements an empirical test of a model created during previous research with the participation of 511 employees. The responses to the online questionnaire and the modelling were analysed using the partial least squares structural equation modelling method. The models were tested for internal consistency reliability, convergent and discriminant validity, multicollinearity and model fit.

Two models were tested by organisation size, which revealed a total of 62 significant correlations between the latent variables tested. Identical correlations were present in both models in 22 cases. After testing the hypotheses, critical variables (nature of work, normative commitment, benefits, co-workers and organisational commitment) were identified that determine employees’ organisational commitment and intention to leave, regardless of the size of the organisation.

As a result of this research, the models developed are suitable for identifying differences in organisational staffing levels, but there is as yet no empirical evidence on the use of the scales for homogeneous groups of employees.

The results show that employees’ normative commitment and organisational commitment are critical factors for retention. Of the satisfaction factors examined, the nature of work, benefits and co-workers have a significant impact on retention in organisations, so organisational retention measures should focus on improving satisfaction regarding these factors.

The readers of the journal would appreciate the work, which highlights the significance of employee psychology and retention for organisational success.

The study is based on primary data and, to the best of the authors’ knowledge, is one of the few studies that take a holistic approach to organisational staff retention in the context of the moderating effect of organisational size. This study contributes to a comprehensive understanding of the phenomenon of employee retention and in contrast to previous research, examines the combined effect of several factors.

This study aims to analyze and compare the relationship between international trade in global value chains (GVC) and greenhouse gas (GHG) emissions for Brazil and China from 2000 to 2016.

The input-output method apply to multiregional tables from Eora-26 to decompose the GHG emissions of the Brazilian and Chinese productive structure.

The data reveals that Chinese production and consumption emissions are associated with power generation and energy-intensive industries, a significant concern among national and international policymakers. For Brazil, the largest territorial emissions captured by the metrics come from services and traditional industry, which reveals room for improving energy efficiency. The analysis sought to emphasize how the productive structure and dynamics of international trade have repercussions on the environmental dimension, to promote arguments that guide the execution of a more sustainable, productive and commercial development strategy and offer inputs to advance discussions on the attribution of climate responsibility.

The metrics did not capture emissions related to land use and deforestation, which are representative of Brazilian emissions.

Comparative analysis of emissions embodied in traditional sectoral trade flows and GVC, on backward and forward sides, for developing countries with the main economic regions of the world.

The metaverse is a virtual world where users can communicate with each other in a computer-generated environment. The use of metaverse technology has the potential to revolutionize the way businesses operate, interact with customers, and collaborate with employees. However, several obstacles must be addressed and overcome to ensure the successful implementation of metaverse technology. This study aims to examine the implementation of metaverse technology in the management of an organization's supply chain, with a focus on predicting potential barriers to provide suitable strategies.

Covariance-based structural equation modeling (CB-SEM) was used to test the model. In addition, artificial neural network modeling (ANN) was also performed.

The CB-SEM results revealed that a firm's technological limitations are among the most significant barriers to implementing metaverse technology in the supply chain management (SCM). The ANN results further highlighted that the firm's technological limitations are the most crucial input factors, followed by a lack of governance and standardization, integration challenges, poor diffusion through the network, traditional organizational culture, lack of stakeholder commitment, lack of collaboration and low perception of value by customers.

Because metaverse technology has the potential to provide organizations with a competitive advantage, increase productivity, improve customer experience and stimulate creativity, it is crucial to discuss and develop solutions to implementation challenges in the business world. Companies can position themselves for success in this fascinating and quickly changing technological landscape by conquering these challenges.

This study provides insights to metaverse technology developers and supply chain practitioners for successful implementation in SCM, as well as theoretical contributions for supply chain managers aiming to implement such environments.

Amidst the ongoing digital transformation in the maritime industry, this study aims to interrogate the application of electronic certification (e-certification) to seafarers globally.

Data and methodological triangulation were used in the study. This included a scoping review to analyze the components of effective e-certificates; document analysis to evaluate the nature and functions of the international legal framework of seafarers’ e-certification and thematic and statistical analyses of responses from survey questionnaires and interviews to examine the merits, demerits and challenges to global implementation of seafarers’ e-certification. A modified Unified Theory of Acceptance and Use of Technology (UTAUT) model was used to determine the stakeholders’ usage behavior regarding seafarers’ e-certification.

The results revealed several merits associated with the implementation of seafarers’ e-certificates, outweighing the presence of certain drawbacks. It also identified various challenges to global application along with potential solutions. Despite the strong industry support for the entire replacement of seafarers’ traditional printed certificates with e-certificates, the study concludes that the coexistence of both formats will persist until crucial challenges are effectively addressed. The International Convention on Standards of Training, Certification and Watchkeeping for Seafarers (STCW), 1978, as amended, along with the relevant International Maritime Organization (IMO) guidelines, functions as the international legal framework for the effective global application of electronic certification for seafarers.

The study addresses a significant aspect of the contemporary digital transformation of seafarers’ certification under the STCW Convention, 1978, as amended.

The present study focused on examining the effect of treated wastewater (TWW) on soil chemical properties. Also, efforts were made to compare the soil chemical properties under TWW irrigation with that under groundwater (GW).

During the years 2021 and 2022, surface and subsurface soil samples were randomly collected in triplicate by using an auger fortnightly at two depths (20 and 40 cm) from the selected spot areas to represent the different types of irrigation water sources: TWW and GW. Samples of the GW and the TWW were collected for analysis.

This study examines the impact of TWW on soil characteristics and the surrounding environment. TWW use enhances soil organic matter, nutrient availability and salt redistribution, while reducing calcium carbonate accumulation in the topsoil. However, it negatively affects soil pH, electrical conductivity and sodium adsorption ratio, although remaining within acceptable limits. Generally, irrigating with TWW improves most soil chemical properties compared to GW.

In general, almost all of the soil’s chemical properties were improved by irrigating with TWW rather than GW. Following that, wastewater is used to irrigate the soil. Additionally, the application of gypsum to control the K/Na and Ca/Na ratios should be considered under long-term TWW and GW usage in this study area in order to control the salt accumulation as well as prevent soil conversion to saline-sodic soil in the future. However, more research is needed to thoroughly investigate the long-term effects of using TWW on soil properties as well as heavy metal accumulation in soil.