Rehan Aftab and Muhammad Naveed
The study invites seminal investigation on potential of investment returns in professional sports leagues. In line with scope of research, the analysis of this study brings into…
Abstract
Purpose
The study invites seminal investigation on potential of investment returns in professional sports leagues. In line with scope of research, the analysis of this study brings into focus the Pakistan Cricket Board (PCB) and franchises pertinent to Pakistan Super League (PSL) for investment appraisal and returns analysis.
Design/methodology/approach
The methodical aspect of research deals with financial ratios and sensitivity analysis capturing the potential of returns on investment for target sample of study.
Findings
The investment appraisal substantiates the significance of potential returns on sports projects. The returns of investment reports sluggish seasonal returns during initial phase of PSL; however, return on investment (ROI) optimized with the maturity and further capitalization of Pakistan Supper League in more concentrated competitive environment. Sensitivity analysis proves variability of returns with changes in growth prospect of franchises.
Research limitations/implications
The study provides important working knowledge for existing and potential new investors and sports boards to consider the financial investment feasibility through customized investment models and relative orientations of promotion of sports, new talent hunting and re-fabricating the structure of sports in line with new age.
Originality/value
The efficacy of research is ensured through empirical verification of data obtained from reliable sources, and the novelty of research comes from investment appraisal and analysis of growing sports league familiarized as Pakistan Super League. The research approach and target sample are quite unique in context of sports leagues literature.
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Rehan Aftab, Muhammad Naveed and Sajjad Hanif
The purpose of this paper is to ascertain the impact of coronavirus (Covid-19) on small and medium enterprises in Pakistan, which are vulnerable to crisis situations. This study…
Abstract
Purpose
The purpose of this paper is to ascertain the impact of coronavirus (Covid-19) on small and medium enterprises in Pakistan, which are vulnerable to crisis situations. This study also aims to provide policy recommendations to the stakeholders by reviewing the situation of small and medium scale enterprises (SMEs) after the Covid-19 sudden surge.
Design/methodology/approach
The descriptive study is based on quantitative data technique and primary data collection is undertaken. The survey instrument is adapted from the US Bureau of Labor Statistics public documents. Collected responses from SME owners are descriptively analyzed using appropriate graphs.
Findings
The analysis infers that SMEs in Pakistan have encountered unfavorable implications of Covid-19 in the form of shortage of goods, blockage in transportation, decrease in demand of products and services, decline in profits and sales, limited operations, lockdown and employee’s layoff.
Research limitations/implications
The limited sample and precise use of instruments are few limitations along with valuable implications of this research. The analysis of Covid-19 impact on SMEs is an ongoing phenomenon and aids in proactive planning for the second wave of this outbreak. Financing schemes, youth entrepreneurship loans, retention of skilled staff and proactive planning for adverse future are few recommended measures for revival of the SMEs sector.
Originality/value
The use of a unique sample and quality data set collected using the Bureau of Labor Statistics instrument adds value to the findings of the study and their consistency. The existing body of knowledge in the context of the SMEs sector of Pakistan is strengthened with an analysis of crisis implications for this sector, which remained unaddressed in the past.
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Rehan Ahmad, Khurram Shahzad, Muhammad Ishtiaq Ishaq and Junaid Aftab
The supply chain agility (SCA) is becoming a source of competitive differentiation but debate on its antecedents which can result in optimal firm performance is still…
Abstract
Purpose
The supply chain agility (SCA) is becoming a source of competitive differentiation but debate on its antecedents which can result in optimal firm performance is still non-pervasive in the literature. Taking this gap into consideration, the current research aimed at investigating various enablers of supply chain agility of Pakistani pharmaceutical industry.
Design/methodology/approach
The data were collected from 204 top executives working in different supply chain functions including planning, supplying, operations and purchasing in national and multinational pharmaceutical companies in Pakistan.
Findings
Through serial-mediation model, results revealed the strength of various SCA enablers, along with the mediating roles of delivery dependability.
Originality/value
This study adds in the literature on how various supply chain enablers and competencies help the organizations to achieve supply chain agility and performance, especially in a developing country.
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Syed Ali Raza, Rehan Ahmed, Muhammad Ali and Muhammad Asif Qureshi
The role of insurance is a backbone for consumers to secure their future. It is important to know where to invest and what are the benefits. Therefore, for the Muslim segment…
Abstract
Purpose
The role of insurance is a backbone for consumers to secure their future. It is important to know where to invest and what are the benefits. Therefore, for the Muslim segment, Islamic insurance system provides Riba (interest)-free environment where consumers invest their money and recover their losses according to sharia. This paper aims to examine the determinants that influence purchase intention of consumers toward Islamic insurance (Takaful) adoption in Pakistan with the help of the modified theory of planned behavior (TPB).
Design/methodology/approach
The authors added four specific variables related to Islamic sharia compliance in the conventional form of the TPB. The relationship among the variables is assessed by using partial least squares structural equation modeling, while the data are collected from 305 respondents.
Findings
The results suggest that attitude, subjective norm and perceived behavioral control are strong predictors of an Islamic insurance adoption in Pakistan. Moreover, factors such as compatibility, relative advantage and awareness have positive and significant impacts on takaful participation. A negative but insignificant relation is found between perceived risk and intention.
Practical implications
This paper provides insight for understanding the factors that lead to consumers' purchase intention of Islamic insurance.
Originality/value
This paper makes a unique contribution to the literature with reference to Pakistan, being a pioneering attempt to investigate the factors of Islamic insurance adoption by modifying the TPB and applying more rigorous statistical techniques like confirmatory factor analysis (CFA) and partial least square structural equation modeling.
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Mehdi Jahangiri, Ahmad Haghani, Shahram Heidarian, Ali Mostafaeipour, Heidar Ali Raiesi and Akbar Alidadi Shamsabadi
Rural areas are one of the effective regions in economy and self-sufficiency field especially in agricultural and livestock section. Planning in the rural section and the effort…
Abstract
Purpose
Rural areas are one of the effective regions in economy and self-sufficiency field especially in agricultural and livestock section. Planning in the rural section and the effort in solving the problems of farmers lead to increase their interest in farming and manufacturing in the villages and decrease their migration to the cities and metropolitans. Therefore, the present study aimed at feasibility of electricity to a rural household in Iran using off-grid solar-based hybrid system.
Design/methodology/approach
In renewable energy projects, a successful evaluation requires suitable criteria so that one can properly analyze the operational behavior of all feasible scenarios. In the present paper, HOMER software has been used for this purpose for a village with no access to electricity grid (Bar Aftab-e Jalaleh, Iran). Due to drastic fluctuation of fossil fuel prices and varied solar radiations in various years because of climate change, sensitivity analysis has been performed using HOMER.
Findings
In the optimum status economically, 70% of needed energy is provided by solar cells at the price 0.792 $/kWh. The comparison between the optimum condition economically and the condition that only use fossil fuels revealed that the return on investment will occur after less than 2 years and have remained profitable over 23 years.
Social implications
The authors hope that the results of this study can be used in planning of the authorities to realize the interests of people in this village.
Originality/value
According to the surveys, despite Iran being the first country in terms of providing solar power to the villages, so far no socio-economic-environmental assessment has been done for a solar cell-based micro-grid in an off-grid mode for a remote village that is deprived of electricity from a national electricity grid. In addition, for the first time in Iran, the effect of the fuel price and solar radiation parameters variability on the performance of system have been investigated.
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Ngan Thi Thanh Nguyen, Phuong Van Nguyen, Demetris Vrontis and Ngan Thi Thanh Vo
This study aims to investigate the influence of knowledge application, government policy and green market orientation (GMO) on organizational sustainable performance in Vietnam…
Abstract
Purpose
This study aims to investigate the influence of knowledge application, government policy and green market orientation (GMO) on organizational sustainable performance in Vietnam, with a particular focus on the mediating role of green innovation in these relationships.
Design/methodology/approach
Data were collected from 253 Vietnamese organizations using purposive random sampling and manager-administered questionnaires. The analysis was conducted using partial least squares structural equation modeling.
Findings
The findings underscore the critical role of government policy in facilitating green innovation and enhancing the sustainable performance of organizations. While knowledge application and GMO are important drivers of green innovation, their direct impact on sustainable performance is not significant. Furthermore, the study confirms the mediating role of green innovation in bridging these relationships.
Practical implications
The study offers critical insights for policymakers and organizational leaders in emerging markets like Vietnam, demonstrating that strategic investments in knowledge application, green innovation and alignment with GMO and government policies can substantially enhance sustainable performance.
Originality/value
This research extends the resource-based view and institutional theory by identifying key determinants of sustainable organizational performance. It underscores the pivotal role of knowledge application, GMO and government policy in promoting sustainable performance through the facilitation of green innovation.
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Jahanzaib Alvi and Imtiaz Arif
The crux of this paper is to unveil efficient features and practical tools that can predict credit default.
Abstract
Purpose
The crux of this paper is to unveil efficient features and practical tools that can predict credit default.
Design/methodology/approach
Annual data of non-financial listed companies were taken from 2000 to 2020, along with 71 financial ratios. The dataset was bifurcated into three panels with three default assumptions. Logistic regression (LR) and k-nearest neighbor (KNN) binary classification algorithms were used to estimate credit default in this research.
Findings
The study’s findings revealed that features used in Model 3 (Case 3) were the efficient and best features comparatively. Results also showcased that KNN exposed higher accuracy than LR, which proves the supremacy of KNN on LR.
Research limitations/implications
Using only two classifiers limits this research for a comprehensive comparison of results; this research was based on only financial data, which exhibits a sizeable room for including non-financial parameters in default estimation. Both limitations may be a direction for future research in this domain.
Originality/value
This study introduces efficient features and tools for credit default prediction using financial data, demonstrating KNN’s superior accuracy over LR and suggesting future research directions.
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Huy-Cuong Vo-Thai and My-Linh Tran
In the dynamic landscape of 2023, global challenges are amplified by escalating conflicts and the COVID-19 aftermath. Developing nations like Vietnam face a critical juncture…
Abstract
Purpose
In the dynamic landscape of 2023, global challenges are amplified by escalating conflicts and the COVID-19 aftermath. Developing nations like Vietnam face a critical juncture, requiring diversified economies for enhanced livelihoods and poverty reduction. However, this growth necessitates increased energy consumption, potentially escalating carbon emissions. Green innovation (GI) emerges as a beacon of hope, offering products and services designed for a minimal carbon footprint. Beyond socio-economic advancement, GI aligns with sustainable development goals. This study aims to examine the influence of knowledge management (KM) and digitalization (DG) on GI, particularly in sustainable competitive advantage.
Design/methodology/approach
Using structural equation modeling and drawing upon a survey administered to 301 Vietnamese enterprises.
Findings
The findings illuminate diverse underpinnings between green product and process innovation, unravel the intricate relationship between KM, DG and GI, and provide crucial insights for firms seeking sustainable competitive edges.
Originality/value
This multidimensional approach significantly enriches the understanding of these pivotal elements in contemporary business landscapes.