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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 aims of the current study were twofold: first, to rank the world’s emerging economies based on a novel National Intellectual Capital Index (NICI) and its components; and second, to examine the impact of NICI and its components on economic growth, measured in terms of real GDP per capita.

We employed principal component analysis (PCA) to construct the novel NICI based on five key socio-economic indicators including (1) national human capital, (2) national structural capital, (3) national relational capital, (4) national informational capital and (5) national innovational capital. These indicators are publicly available for many countries. The index was generated by considering the most appropriate socio-economic indicators as precise measures of NIC from the Penn world table (version 10.0), the World Bank’s database of world governance and development indicators and the KOF globalization across the selected emerging economies.

The empirical findings revealed that national human capital is a significant driver of NIC, corresponding to higher economic growth. This is followed by national informational capital, national relational capital, national innovation capital and national structural capital. Furthermore, results indicate that the contribution of national structural capital is marginal compared to other critical strands of NIC.

NIC is generally considered the most valuable strategic resource for driving knowledge economies, especially in the Industry 5.0 revolution. Ranking emerging economies based on the NICI sheds light on the accumulated stock of NIC and how it contributes to and improves the economic growth of these economies. The stock of NIC is considered a critical success factor for measuring both current and future economic prosperity. Therefore, using the socio-economic indicators of KOFGI as accurate measures of NICI will assist policymakers in formulating and implementing relevant policies to enhance the accumulation of knowledge-based capital, which are critical components of NIC.

To the best of the authors' knowledge, this is the first study of its kind, both theoretically and empirically, to measure the National Intellectual Capital Index (NICI) using the most nascent socio-economic indicators of NIC. Moving forward, this study evaluates the impact of NICI and its components on economic growth, which is a relatively sparse area of research in the context of emerging knowledge economies.

The authors empirically aim to study the implications of uncertainty generated by oil price volatility on some key macroeconomic variables, including production, exchange rates and interest rates, of both oil-exporting and oil-importing countries. Using a block exogeneity structural Vector Auto Regression (VAR) model that mutes the effects of domestic variables on global factors and that is suitable for small open economies because of significant differences in the responses of domestic production in oil-importing countries will most likely decrease through reducing planning horizons, postponing investment projects and relocating resources more inefficiently.

The authors integrated into the structural vector autoregressive (SVAR) model the block exogeneity feature since all the countries in this study are small open economies that cannot influence the global economic variables. The block exogeneity feature imposes the restriction that the domestic variables have neither a contemporaneous nor a lagged impact on the global variables. This model has eight variables: oil price volatility, world demand and federal funds rate as the global variables; and domestic production, monetary aggregate, inflation rate, exchange rate and interest rate as domestic variables. The authors assemble the data for 12 developing countries for which the necessary data for the analysis are available: six oil exporting countries (Russia, Saudi Arabia, Iran, Kazakhstan, Mexico and Colombia) and six oil importing countries (Turkey, India, Philippines, Poland, South Africa and Indonesia).

The results point out significant differences in the responses of macroeconomic variables to oil price volatility shocks between oil-exporting and oil-importing countries. Furthermore, the local currencies of these countries depreciate due to concerns about possible current account worsening. In response to the shock, domestic interest rates are reduced so as to alleviate the negative exposure of the shock on domestic economic activity. While domestic production in some oil-exporting countries (i.e. Russia, Saudi Arabia and Iran) increases during oil price uncertainty; in some other countries (i.e. Mexico, Kazakhstan and Colombia), domestic production decreases.

Several components of the study contribute to its novelty. One of them is the period under consideration. The time frame that encompasses the most significant geopolitical and financial events, such as the Middle East Spring and the global financial crisis of 2007–2008. The research was conducted using the block-exogeneity SVAR model, which includes 12 oil exporting and importing developing countries. With this model, the global dynamics, particularly the energy market, that these nations may influence and are influenced by, i.e. global and nonglobal factors can be constrained. This makes it easy to determine the various effects prices have on macroeconomic variables.

1. Oil prices and volatility still matter to the global economy

2. Monetary and fiscal policy interventions in response to oil price volatility create uncertainty and impede investment activity

3. The response of macroeconomic variables to volatility shocks in oil prices varies across oil importers and exporters

4. Interest rates help stabilize production in oil-importing economies that have well-functioning financial markets

Oil prices and volatility still matter to the global economy

Monetary and fiscal policy interventions in response to oil price volatility create uncertainty and impede investment activity

The response of macroeconomic variables to volatility shocks in oil prices varies across oil importers and exporters

Interest rates help stabilize production in oil-importing economies that have well-functioning financial markets

The purpose of this paper is to value the role of organizational virtuousness in predicting employee performance through mediation of affective well-being and work engagement.

Data were collected through questionnaires from 487 banking employees from 60 branches of ten banks.

Analysis through structural equation modeling proves that virtuousness positively predicts employees’ well-being and engagement, which in turn influence their performance. Furthermore, both well-being and engagement proved to be partial mediation in the relation, where well-being had stronger explanatory role.

This study offers novel explanatory mechanism in the relationship of employee performance and organizational virtuousness, where in past studies such mediation mechanism has not received due attention.

The purpose of this paper is to determine university service quality in the International branch of Amirkabir University (Iran).

In this study, a total of 102 students in five courses (Electronic engineering, Civil engineering, Mechanical engineering, Chemical engineering and MBA) in the international branch of Amirkabir University, were asked to complete a SERVQUAL questionnaire. This questionnaire measured students’ perceptions and expectations in five dimensions of service that consists of assurance, responsiveness, empathy, reliability and tangibles. The quality gap of university services was determined based on differences between students’ perceptions and expectations.

The results demonstrated that in all of the five SERVQUAL dimensions there was a negative quality gap (p<0.05). Also responsiveness is the most important dimension for the students but had the largest gap. So improvements are necessary and the university must pay more attention to the students’ requirements.

The current research was conducted among international branch of Amirkabir University, so the results are limited to those faculty, not to the whole of the university. Also, there were many questions in the questionnaire, which made the students tired and impatient.

There are limited researches that consider service quality in Iranian higher education. However, for the first time, the service quality of the international branch of Amirkabir University was measured in this research by SERVQUAL. Measuring education service via SERVQUAL in order to determine ways to improve quality is one of the major fields of application of the model. Continuous research in the field will benefit the welfare of the public society.

For better mapping the path of intellectual capital (IC) research, the purpose of this paper is to selectively review empirical studies of IC published, and identify theories, components and three dimensions of analysis: national IC (NIC), regional IC (RIC) and organizational IC (OIC).

The systematic literature review (SLR) subject to analysis is based on empirical studies made between 1960 and 2016, and focuses on three dimensions of analysis: NIC, RIC and OIC. Four research questions were designed, using the following databases, namely, Web of Science, Scopus and Google Scholar, for data collection purposes.

The SLR unveils a multidimensional taxonomy for measuring and classifying the type of IC applicable to the different levels of analysis and provides some recommendations for future studies of NIC, RIC and OIC, by outlining the need for clear definitions of components and measures of IC and identifying strengths, limitations and future research avenues.

In order to fill the gap found in the literature and the non-existence of a study clarifying the multiple dimensions of analysis of IC, this SLR makes a twofold, original contribution to the literature on management: providing an SLR of the main empirical studies dealing with different units of analysis; and identifying a multidimensional taxonomy for measuring and classifying the type of IC applicable to the different levels of analysis.

The purpose of this paper is twofold: first, to examine the interaction of tangibles, reliability, assurance, responsiveness and empathy dimensions of the service quality (SERVQUAL) and student satisfaction (SS), and second, to explore the mediating role of cross-functional collaboration (CFC) on these relationships.

The structural equation modelling was used to examine the direct and mediated effect models using data collected through a survey of 352 students from 18 higher education institutes (HEIs) in Oman.

The statistical analysis confirms our main hypotheses. First, the centrality of tangibles, reliability, assurance, responsiveness and empathy dimensions of the service quality was established in the direct effect model, while the importance of tangibles and responsiveness was not confirmed in the mediated effect model. Second, it approved the partial mediation effect of CFC on the five dimensions of SERVQUAL and satisfaction.

Service quality, level of CFC and relative SS in higher education could be subjected to contextual verification and evaluation of these internal and external contextual factors should be considered.

Several implications are highlighted for the effective development of the service quality of student affairs departments (SADs), the development of CFC for effective management, development and deployment of various student affairs initiatives.

This paper satisfies the need to validate the SERVQUAL model in different contexts such as SADs, and the need to investigate the possible mediating effect of other factors on SERVQUAL dimensions and satisfaction to show how the latter can be achieved.

The purpose of this paper is to test a theoretical model examining the potential impact of abstract thinking on entrepreneurial intentions (EI). The impact of perceived desirability of entrepreneurship on the relationship between abstraction and intentions was also examined.

A total of 155 participants completed measures of abstraction, self-efficacy, desirability and EI. Hierarchical regression was used. A bootstrapping approach was utilized to test for mediation.

High levels of abstraction were positively related to EI, while also interacting with self-efficacy. High levels of abstraction counteracted otherwise low levels of self-efficacy, resulting in subsequently higher intentions. The perceived desirability of entrepreneurship mediated the relationship between abstraction and EI.

The scope of analysis and student population sample may limit generalizability.

The results identify a cognitive process that may help individuals overcome feasibility concerns. Entrepreneurial training programs might choose to instruct individuals that, when encountering a roadblock, they should focus on their ideals and the bigger picture rather than being discouraged by the challenges of the process.

The results provide insight into the psychological processes that lead individuals to become entrepreneurs. The study helps in explaining the mechanism by which a tendency toward abstract thinking leads to stronger EI and identifies an additional antecedent to individuals’ perceptions of desirability toward entrepreneurship.

This study aims to develop a moderated mediation model that enables the examination of the direct relationship between brand orientation (BO) and export performance, the mediating effects of external and internal branding capabilities on the BO-export performance link, and the moderating influence of institutional environment, i.e. regulatory turbulence and policy support.

A time-lag primary data was collected from two-wave survey of 684 cross-industry exporting small and medium-sized enterprises (SMEs) using an online-email based survey technique, and the research model was validated using ordinary least squares regression analysis in SPSSV.27 and Hayes’ PROCESS macroV.2.13.

Regression findings indicate that the relationship between BO and export performance is not direct, but rather mediated by means of both external and internal branding capabilities. It further helps to uncover the dual role of institutional environment, with regulatory turbulence weakening and policy support strengthening the indirect influences of BO on export performance via external and internal branding capabilities.

This study advances branding literature by conceptualizing and empirically testing the role of BO associated with internal and external branding capabilities and, subsequently, with export performance.

The research findings indicate that brand-oriented SMEs must actively engage in the development of branding capabilities to improve their export performance.

While brand creation is essential for the success and growth of SMEs competing in the worldwide marketplaces, there is a dearth of research explaining the underlying mechanisms and boundary conditions through which BO influences export performance.

The purpose of this research paper is to predict sustainability-driven entrepreneurship intention among university students in the developing market (Pakistan).

The target population of this study was university students in Pakistan. According to UNDP (2017) report, Pakistan has the largest youth population. More than 64% of the total population (210 million) is below 30 years of age. If trained properly, this huge chunk of the population could become a source of intellectual capital for the development of the nation. The quota based on age sampling technique was used to collect the data from university students in Karachi because more than 64% of the Pakistan population is below 30 years of age.

The findings reveal that university entrepreneurial support has a strong influence on attitude toward sustainable entrepreneurship and entrepreneurial self-efficacy.

The role of university entrepreneurial support, environmental concern and students’ entrepreneurial self-efficacy are vital factors in sustainability-driven entrepreneurship. This study enriches the literature of green entrepreneurship helping to understand university students’ intention for sustainable entrepreneurship. The outcome of this study would help strategists and environmental academicians to guide university students regarding the launch of sustainable ventures.

To the best of authors’ knowledge, this is one of the first studies to explore the effects of environmental concern on entrepreneurial intention among university students in the context of a developing country – Pakistan.