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1 – 10 of 19Muhammad Umer Mujtaba, Wajih Abbassi and Rashid Mehmood
The aim of our study is to explore the nexus between the gender composition of board and firm financial performance. We use the data of 114 listed banks from 10 Asian emerging…
Abstract
The aim of our study is to explore the nexus between the gender composition of board and firm financial performance. We use the data of 114 listed banks from 10 Asian emerging economies. Data were extracted from the DataStream for the year 2012–2021. We apply fixed effect model to analyze the data. In addition, we use generalized method of moments (GMM) to verify our main findings. We find that both proxies of board gender composition which are the proportion of female board members and the percentage of female executives on the board have a significant impact on banks' financial performance. Findings suggest that female representation on board provides more insights of monitoring and optimal advisory capabilities and, therefore, gender-diversified board enhances firm performance. Females are more active in business matters and take more interests to fulfill their responsibilities. The results of our study provide useful signals for corporate and regulatory policymakers. Board gender disparities between enterprises should be better understood by all stakeholders to have the optimal combination of board members that ultimately lead to better performance of the firm.
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This chapter examines the influence of external public borrowing resources on economic progress in Tunisia. The study focuses on two stages: First, the influence is studied in a…
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This chapter examines the influence of external public borrowing resources on economic progress in Tunisia. The study focuses on two stages: First, the influence is studied in a direct sense and then in an indirect sense, i.e., through a transmission channel of this influence. By applying the autoregressive distributed technique with staggered lags (ARDL), over a period ranging from 1986 to 2019, the results showed that the influence of external borrowing resources on growth seems to be unfavorable in the short term but positive in the long term, hence the importance of the empirical technique chosen. Second, three interaction variables were tested, namely total government expenditure, government investment expenditure, and the real effective exchange rate. The results obtained call for better attention to the channels identified to maximize the positive influence of external public debt on the country's economic progress.
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Kishan Agarwal, Sharmi Sen, Ghirmai Tesfamariam Teame and Tonmoy Chatterjee
Issues related to economic development and growth are oft discussed to illustrate the health of a nation. However, such development is constrained by the inequality parameter of…
Abstract
Issues related to economic development and growth are oft discussed to illustrate the health of a nation. However, such development is constrained by the inequality parameter of the representative society. Again, economic fluctuations arising from several crises may hinder the representative nation from getting on a smooth path to development. Now, augmentation of crises along with the presence of inequality may trigger economic vulnerabilities, leading to unsustainable economic development. Against this backdrop, we initially frame a theoretical model to capture the above-mentioned issues and try to derive plausible economic interpretations for the same. To verify the same in a more robust manner, we consider a panel of 30 developing countries from Africa, spanning the time period 1980–2020. Both the health status and the education status of our panel of countries are used to explore the sustainability issue in the presence of income inequality. All data have been collected from the World Development Indicators (WDI) and Standardized World Income Inequality Database (SWIID) (Table 21.1
Variables | Description |
---|---|
PCGHE | Domestic General Government Health Expenditure Per Capita (Current US$) |
PCPHE | Domestic Private Health Expenditure Per Capita (Current US$) |
PCOPE | Out-of-Pocket Expenditure Per Capita (Current US$) |
LE | Life Expectancy at Birth, Total (Years) |
IMR | Mortality Rate, Infant Per 1,000 Live (Birth) |
GEE | Government Expenditure on Education, Total (% of GDP) |
PSE | School Enrolment, Primary (% gross) |
SSE | School Enrolment, Secondary (% gross) |
PCGDP | GDP Per Capita (Current US$) |
GRCGDP | GDP Per Capita Growth (Current US$) |
FDI | Foreign Direct Investment, Net Inflow (% of GDP) |
POP | Population, Total |
GINI | Gini Index of Net Income Inequality |
Variables Description.
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Akansha Mer and Amarpreet Singh Virdi
Introduction: Amidst Volatility, Uncertainty, Complexity, and Ambiguity (VUCA), turbulence is a vital component of an entrepreneurial landscape. VUCA world has set a new dynamic…
Abstract
Introduction: Amidst Volatility, Uncertainty, Complexity, and Ambiguity (VUCA), turbulence is a vital component of an entrepreneurial landscape. VUCA world has set a new dynamic in the business environment and organisation’s settings. In such an environment, it is pertinent for entrepreneurs to exhibit creativity, innovative service behaviour, and performance.
Purpose: The study investigates whether creativity, innovative service behaviour, and performance of entrepreneurs are fostered through employee engagement practices in a highly volatile, uncertain, complex, and ambiguous environment.
Methodology: The methodology involves a systematic review and meta-synthesis. By identifying the major topics, a systematic literature review helped critically analyse and synthesise the literature.
Findings: According to the study, corporate entrepreneurial factors like (management reinforcement, reward/reinforcement, job autonomy/discretion, time attainability, and organisational boundaries) entrepreneurial potential, entrepreneurial orientation, human capital, self-efficacy beliefs lead to employee engagement, which, in turn, fosters creativity, innovative service behaviour, and performance among entrepreneurs in the VUCA world.
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Muhammad Shujaat Mubarik and Sharfuddin Ahmed Khan
This chapter investigates the potential of integrating multiple criteria decision-making (MCDM) techniques with decision support systems of digital supply chain management (DSCM…
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This chapter investigates the potential of integrating multiple criteria decision-making (MCDM) techniques with decision support systems of digital supply chain management (DSCM) to achieve optimal outcomes. Digital supply chain (DSC) employs digital technologies (DTs) such as artificial intelligence (AI), Internet of Things (IoT), and big data analytics to provide extensive datasets and valuable insights pertaining to supply chain operations. MCDM techniques employ these realizations to facilitate informed decision-making through the assessment of multiple competing criteria. Usually MCDM approaches are used in the academic research with comparatively lesser application in industry. We argue that MCDM methodologies can play an instrumental role in DSCM, specifically in the areas of supplier selection, demand forecasting, and inventory management. Nevertheless, the integration of MCDM like AHP, ANP, DEMATEL, etc., with decision support systems presents several challenges, including concerns regarding the quality of data and the intricate task of assigning weights to various factors.
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Uma Shankar Yadav, Kiran Sood, Ravindra Tripathi, Ashish Kumar and Saad Ahamad Khan
Introduction: A company or organisation must resolve various problems in the business environment for better operation in any corporate environment. Such issues are traditionally…
Abstract
Introduction: A company or organisation must resolve various problems in the business environment for better operation in any corporate environment. Such issues are traditionally handled in multiple ways. A small sector unit with many employees encounters this corporate issue, for example, the handicraft sector. The impact of handicraft issues and their intensity, speed, and regularity is growing in our system.
Purpose: This chapter studies how small businesses might succeed in the handcraft industry in a volatile, uncertain, complex, and ambiguous (VUCA) environment. There is a lack of proper knowledge of how the VUCA affects business proficiency in the Indian handicraft sector. A novel business strategy for the handicraft sector, like other business proficiency called best practices in handicraft business in a VUCA environment, will be presented along with a discussion about VUCA environments. This considers both the individual influences of each particular word and the overall impact of VUCA.
Methodology: The study included a thorough literature analysis for three learning areas: performance improvement, including VUCA, and the leadership incorporation of risk and quality. Awareness in the trade will be examined in further sections, as the mastery of VUCA is achieved with various traditional and digital management ideas.
Findings: The research defined a new unorganised firm concept to maintain and succeed in a high VUCA environment in the handicraft sector, identifying 18 important success characteristics through a comprehensive literature review. The authors proposed a conceptual framework for fusing quality management to attain proficiency in the handicraft sector VUCA environment.
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Curt Davidson, Sara Ghezzi and Dan McCoy
This chapter highlights a case study at the University of Wyoming (UW) to explore the role of integrating ecotourism and eco-entrepreneurship into higher education at the…
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This chapter highlights a case study at the University of Wyoming (UW) to explore the role of integrating ecotourism and eco-entrepreneurship into higher education at the bachelor’s level. The university has developed a modern, comprehensive curriculum, and practical learning opportunities with local communities, conservation organizations, and industry stakeholders through a state-funded initiative. The program equips students with essential knowledge and eco-entrepreneurial skills for the sustainable development of ecotourism, outdoor recreation, and tourism industries. The chapter presents a pedagogical model as a replicable framework for other institutions aiming to incorporate sustainable, eco-centric curricula into their programs. The findings can guide policymakers, educators, and stakeholders in designing programs that synergize environmental sustainability and eco-entrepreneurial innovation to promote global sustainable development and successful higher education experiences.
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Biqiang Liu, Brent Moyle, Anna Kralj and Yaoqi Li
Visual stimuli are integral for the destination selection process, as well as for the delivery of unique, novel and compelling tourist experiences. Emerging techniques, such as…
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Visual stimuli are integral for the destination selection process, as well as for the delivery of unique, novel and compelling tourist experiences. Emerging techniques, such as eye-tracking, are effective for mapping tourists' visual interests and paths, presenting an opportunity to identify patterns of visual attention, which provide insights into the underlying cognitive processes which underpin experiences. Building on a systematic review of the progress and development of eye-tracking in tourism field, this chapter summarises five main current research contexts for application and five future research directions. It also narrows the gap between eye-tracking and cognitive psychology by critically examining bottom-up and top-down attentional mechanisms.
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Mohamed Ismail Mohamed Riyath, Narayanage Jayantha Dewasiri, Kiran Sood, Yatiwelle Koralalage Weerakoon Banda and Kiran Nair
By examining the impact of the day of the week during the COVID-19 pandemic and the subsequent economic recession, it is possible to provide insights into market behaviour during…
Abstract
Introduction
By examining the impact of the day of the week during the COVID-19 pandemic and the subsequent economic recession, it is possible to provide insights into market behaviour during volatile times that can be furnished to investors and policymakers for informed decisions.
Purpose
This study investigates the day-of-the-week effect on the Colombo Stock Exchange (CSE), with particular emphasis on the variations in this effect during the COVID-19 pandemic and the subsequent economic crisis.
Design/Methodology/Approach
The study applies the Exponential Generalised Autoregressive Conditional Heteroskedasticity (EGARCH) model, allowing for the evaluation of asymmetric responses to positive and negative shocks. The data span from January 2006 to December 2022 and are segmented into different periods: the entire sample, war and post-war periods, the COVID-19 pandemic and the economic crisis period, each reflecting distinct market conditions.
Findings
The study uncovers a significant day-of-the-week effect on the CSE. Mondays and Tuesdays typically show a negative effect, while Thursdays and Fridays display a positive impact. However, this pattern shifts notably during the COVID-19 pandemic, with all weekdays exhibiting significant positive impact, and varies further across different waves of the pandemic. The economic crisis period also shows unique weekday effects, particularly before and after an important political event.
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