Shahzad Ali
@superior.edu.pk
Lecturer and Department of Business and Management Sciences
Superior University, Lahore
EDUCATION
Ph.D. in Economics (Candidate)
RESEARCH, TEACHING, or OTHER INTERESTS
Economics and Econometrics, General Economics, Econometrics and Finance
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Shahzad Ali, Muhammad Boota, Warda Sajid Khan, Mehrooz Khan, and Mubashar Ali
Springer Science and Business Media LLC
Ahmad Bilal, Shahzad Ali, Muhammad Haseeb Shakil, Muhammad Mukarram, and Sayyed Zaman Haider
Springer Science and Business Media LLC
Shahzad Ali, Nor Azam Bin Abdual Razak, and Naveeda Sajjid
Inderscience Publishers
Pedro Neves Mata, Shahzad Ali, João Luis Lucas, Jéssica Nunes Martins, and Mahwish Zafar
MDPI AG
This study’s primary objective is to investigate the impact of stressful living environments and extreme weather conditions on youth’s education. For the fulfillment of this objective, the unique and latest methodology, such as second-generation unit root, cross-sectional ARDL, and the Westerlund approach are used on panel data taken from India and Pakistan. The cross-sectional dependency test is also employed to determine the internal correlations between cross-sections. The results indicate that there are long- as well as short-run relationships between variables. This study helps to develop policies to manage natural disasters, as well as provide the theoretical background to reduce the stressful living environment.
Rui M. Dantas, Shahzad Ali, Muhammad Rafiq, José Moleiro Martins, António Abreu, and Mário Nuno Mata
Ital Publication
Objective: This study examines the asymmetric impact of both internal (military, education, and health expenditures) and external (trade opening and foreign direct investment) factors that contribute to poverty reduction. Methodology: To find an asymmetric relationship between the proposed variables, we used a non-linear ARDL co-integration approach for the period ranging from 1981-2019. Findings: The findings of the study confirm the asymmetric impact of internal (education, military, health expenditures, quality of governance) and external (foreign direct investment, openness) factors on poverty. The finding confirms that ignoring nonlinear or asymmetric properties of macroeconomic variables may mislead inferences. This study has policy implications for government officials to reduce poverty. Novelty: theeconomic theory of poverty is studied from different perspectives by using internal and external factors that have direct and indirect effects on poverty. Furthermore, for in-depth analysis, a nonlinear approach is used to determine which factor has a strong contribution to eliminating poverty. Doi: 10.28991/ESJ-2023-07-03-07 Full Text: PDF
Shahzad Ali, Nor Azam Abdul Razak, Bakti Hasan-Basri, and Hasnain Ali
Emerald
PurposeThis study investigated the in-role and extra-role performance of male and female teachers. Multigroup Analysis is applied to the unique combination of independent variable time pressures, mediating variable psychological empowerment and dependent variable teacher in-role and extra-role performance.Design/methodology/approachThe reason for employing a distinctive methodology is because of male and female characteristics. In addition, data were gathered during COVID-19 using convenient sampling techniques from male and female teachers working in Pakistani higher education institutions.FindingsThe results showed that time has a significant impact on how well male and female teachers do their jobs. According to the gendered characteristics, psychological empowerment significantly intervenes between time pressure and teacher performance. Furthermore, the result provides policymakers with guidelines while assigning the task to teachers.Practical implicationsThis article highlighted the issues of performance under time pressure imposed by an educational institution's employer and developed the mechanism for effective and efficient policies to improve the performance of teachers.Originality/valueUnder the lens of the cognitive theory of load, this study contributes to the literature on time pressure, psychological empowerment and teacher performance by introducing a novel concept and novel research framework.
Muhammad Saeed Meo, Shahzad Ali, Muhammad Saif Ul Islam, Rabia Qammar, Shahan Mehmood Cheema, and Mohd Zaini Abd Karim
Springer Nature Singapore
Shahzad Ali and Nighat Talha
Wiley
The purpose of this research is to look into financial management behavior during the COVID‐19. Without a doubt, financial knowledge is an important, but in the COVID‐19, the majority of people are experiencing economic insecurity, which is regarded as unique contribution when testing financial management behavior. Furthermore, Pakistan is an Islamic country, so, financial knowledge, is further subdivided into objective, subjective, and Islamic financial knowledge, with financial wellbeing serving as mediating variable. Pakistan has a diverse population of respondents, this model was tested on university students in Pakistan between the ages of 20 and 40, with the majority of respondents experiencing job and food insecurity as a result of COVID‐19. The research employs a two‐stage method, PLS‐SEM, for reliability checking via composite reliability and average variance extract, and discriminant validity checking via HTMT ratio. According to the findings, Islamic financial knowledge as positive, and other financial knowledge as negative, and economic insecurity (food and job insecurity) also has negative and significant impact on students' financial management behavior. Financial well‐being significantly acts as a bridge between independents and dependent variables. The findings imply that financial knowledge has a significant impact on financial management behavior. Policymakers and administrators should improve information disclosure while promoting financial education in order to foster trust and responsible financial conduct among people.
Shahzad Khuram, Hina Ahmed, and Shahzad Ali
Frontiers Media SA
This research aims to investigate the role of financial self-efficacy in mediating the relationship between entrepreneurial education and venture capital intention, as well as the moderating influence of government support on the relationship between financial self-efficacy and venture capital intention. The target population consists of Lahore students from public and private universities who have already studied entrepreneurship. Based on the 250 responses to the online survey the findings show the mediating role of financial self-efficacy between entrepreneurial education and intention toward venture capital. Moreover, it also indicates the moderated effect of government support on the relationship between financial self-efficacy and intention toward venture capital. This study will not only help the curriculum committees in business schools to design entrepreneurial education outlines that enable the students to explore the different financing modes by including financial knowledge to cope with financial challenges but also to the government officials in devising financing plans accompanied by their expertise in the development of a business.
Muhammad Umar, Syed Abdul Rehman Khan, Mohd Yusoff Yusliza, Shahzad Ali, and Zhang Yu
Emerald
PurposeThe purpose of this study is to examine the impact of Industry 4.0 on economic and environmental performance through the mediation of green supply chain management (GSCM) practices in the emerging economic context, like Pakistan.Design/methodology/approachThis cross-sectional study investigates Industry 4.0 effects on economic and environmental performance through GSCM practices in an emerging economy. For the testing of hypotheses, Smart-PLS is employed. In total, 284 valid responses were analyzed in this study.FindingsThe outcomes indicate that GSCM practices mediate the effect of Industry 4.0 on both economic and environmental performance. Also, the results indicate that GSCM practices are positively affected by Industry 4.0.Research limitations/implicationsThe scope of this study is limited to manufacturing firms in Pakistan. Future studies may explore other variables that could expedite the adoption of GSCM as the concept of GSCM is still in its infancy. Future studies can conceptualize GSCM through resource based theory as mainstream SCM research has largely ignored the synergistic view of resource based approach in conceptualizing green supply chain models. Implications include policy making that emphasis on enhancing environmental knowledge training.Originality/valueAccording to the best knowledge of the researcher, no study has been conducted regarding the effect of Industry 4.0 on economic and environmental performance through the mediation of GSCM practices in the emerging economy, like Pakistan.
Qasim Ali Nisar, Nadia Nasir, Samia Jamshed, Shumaila Naz, Mubashar Ali, and Shahzad Ali
Emerald
PurposeThis study is undertaken to examine the antecedents and role of big data decision-making capabilities toward decision-making quality and environmental performance among the Chinese public and private hospitals. It also examined the moderating effect of big data governance that was almost ignored in previous studies.Design/methodology/approachThe target population consisted of managerial employees (IT experts and executives) in hospitals. Data collected using a survey questionnaire from 752 respondents (374 respondents from public hospitals and 378 respondents from private hospitals) was subjected to PLS-SEM for analysis.FindingsFindings revealed that data management challenges (leadership focus, talent management, technology and organizational culture for big data) are significant antecedents for big data decision-making capabilities in both public and private hospitals. Moreover, it was also found that big data decision-making capabilities played a key role to improve the decision-making quality (effectiveness and efficiency), which positively contribute toward environmental performance in public and private hospitals of China. Public hospitals are playing greater attention to big data management for the sake of quality decision-making and environmental performance than private hospitals.Practical implicationsThis study provides guidelines required by hospitals to strengthen their big data capabilities to improve decision-making quality and environmental performance.Originality/valueThe proposed model provides an insight look at the dynamic capabilities theory in the domain of big data management to tackle the environmental issues in hospitals. The current study is the novel addition in the literature, and it identifies that big data capabilities are envisioned to be a game-changer player in effective decision-making and to improve the environmental performance in health sector.
Muhammad Saeed Meo, Vina Javed Khan, Tella Oluwatoba Ibrahim, Shabnam Khan, Shahzad Ali, and Kashif Noor
Informa UK Limited
ABSTRACT The current study is intended to examine the asymmetric impact of inflation and unemployment on the poverty of Pakistan over the period of 1970 to 2016 by applying asymmetric Autoregressive Distributed Lag (ARDL) cointegration approach. The results revealed the presence of long-run asymmetries among inflation, unemployment and poverty. These findings also confirmed the atypical reaction of poverty to negative and positive shocks in unemployment and inflation. Furthermore, findings also confirmed negative and significant association among health expenditures (HE), population growth and poverty. The findings of the study have relevant implications for policymakers interested in the asymmetric relationship among inflation, unemployment and poverty in Pakistan.