Search results

The widening income gap between rich and poor has gained worldwide recognition in recent decades. This income gap between rich and poor is defined as the extent of income unevenly distributed in a host country. This study provides an empirical view of the association between information and communication technology and the widening of the income gap.

The study used panel data from 2005 to 2019. To detect unit root issues, Levin and Lin (LL) and Im, Pesaran and Shin (IPS) tests were first employed. The pooled mean group and mean group estimators were employed to investigate the short and long -term impact of information and communication technology and other control factors on reducing the gap between rich and poor in South Asia.

The results showed that the Pooled mean group's findings are more efficient and consistent as compared to mean group estimators. The results of the paper showed that the greater penetration of information and communication technologies in the economy negatively and significantly affects income inequality. Moreover, the information and communication technology, foreign remittances and foreign direct investment (FDI) significantly reduce the gap between rich and poor in the long run.

At last, the findings of the study serve as an excellent roadmap for policymakers seeking to address the issue of growing income inequality in the South Asian regions and worldwide.

Based on the findings of this study, South Asia can reduce the gap between rich and poor by investing more in the information and communication technology sector.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-10-2021-0638

The purpose of this paper is to explore the impact of market orientation on firm performance of software houses and examine the mediating firm innovativeness in the relationship between market orientation and firm performance.

Data were collected from the employees of software houses located in two big cities of Pakistan. Mean, SD, correlation and regression analysis were conducted to check the relationship among variables.

Results show that the performance of software houses largely depends on firm innovativeness and market orientation.

The authors recommend that further studies are required to test the propositions in longitudinal research design for achieving in-depth insights.

Software houses need to pay more attention toward market orientation and innovativeness.

It has been observed that software houses pay less attention toward market dynamics. This research discusses an implementation approach based on solid theoretical foundations to achieve the firm performance through market orientation and firm innovativeness.

The present study aims to develop a strategic business performance (SBP) model for larger firms by examining the mediating role of structural flexibility in the network capability–SBP link, as well as testing the moderating role of entrepreneurial orientation in the relationship between structural flexibility and SBP.

Data were collected from 929 senior managers/owners of large textile sector firms operating in Pakistan. Regression and bootstrapping techniques were used to test the proposed relationships.

The results revealed that network capability positively shapes firms' structural flexibility, which, in turn, helps firms achieve SBP. The present work also showed that entrepreneurial orientation strengthens the positive relationship between structural flexibility and SBP.

This study is based on the cross-sectional data, and data were collected from the textile sector firms operating in Pakistan.

The findings suggest that managers should focus on developing firms' network capability, which positively shapes structural flexibility and helps firms achieve SBP. Entrepreneurial orientation can also play an imperative role for strengthening the link between structural flexibility and SBP.

The value of the present work rests on the deeper understanding of the network capability–SBP link that it offered by examining the relationships of the network capability dimensions with SBP through structural flexibility. Moreover, by bringing to the fore firms' entrepreneurial orientation as a moderator of the structural flexibility–SBP relationship, the study provided a new vantage point to uncover the complexities involved in the links between network capability, structural flexibility, and SBP.

The purpose of this paper is to empirically examine the effects of financial liberalization and trade openness on the economic growth of two countries, namely, Pakistan and India for the period 1985-2014.

This study uses the autoregressive distributed lag technique, which allows mixed order of integration. In addition, it uses the principal component method to create an index for financial liberalization to examine how it affects the economic growth of the selected countries.

The findings reveal that in the short and long run, trade openness has positive effect on the Pakistan’s economic growth while the financial liberalization has positive impact only in the long run. In the case of India, both financial liberalization and trade openness positively and significantly influence the economic growth in the short and long run.

By comparing the results of both countries, trade openness and financial liberalization increase the economic growth of India more than that of Pakistan. These results suggest that Pakistan should consider appropriate positive policies regarding financial liberalization and trade openness to achieve high and stable economic growth in the future.

This study creates financial liberalization index by using the principal component analysis method to explain the role of financial liberalization in the economic growth of Pakistan and India. In addition, it makes comparison of the results based on which country benefits most from the liberalization of trade and financial sectors. Only very few studies have examined these countries, yet their results have remained inconclusive as well.