Challenges of small- and medium-sized businesses in Pakistan due to COVID-19 pandemic

Shah, Yasir; Liu, Yumin; Shah, Faiza; Shah, Fadia

doi:10.15826/recon.2020.6.3.019

Cited by 5 publications

(5 citation statements)

References 14 publications

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“…It is also important to note that the initial lockdown was imposed only in Pakistan's Sindh region during the first wave of COVID-19 due to the increasing number of people affected. Therefore, besides social life, entrepreneurial activities were also affected enormously (Shah et al , 2020>). Therefore, the participants were chosen from the Sindh region in Pakistan.…”

Section: Methodsmentioning

confidence: 99%

Learning experiences of women entrepreneurs amidst COVID-19

Afshan

Shahid

Tunio³

2021

IJGE

111

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Purpose COVID-19 pandemic triggered unexpected crises, which were beyond the imaginations of a common man. It changed the order of routine life and the business world. In this challenging condition, the survival of the small business was at high risk. Following experiential learning theory, the purpose of this paper is to explore women's entrepreneurial learning obtained during the COVID-19 pandemic, the challenges experienced by them and strategies undertaken to transform businesses. Design/methodology/approach To explore Pakistani women entrepreneurs' lived experiences and learning during the COVID-19, researchers used a qualitative interview design. The interviewees reported their experiences about the effects of COVID-19 on their business and entrepreneurial learning from such a crisis. Findings The findings of the study indicate new fractions of knowledge from the novel learning of the female entrepreneurs throughout the experience of the COVID-19. The transformation from manual business dealings and financial transactions to virtual dealing and the online transaction was the addition of novel learning. Furthermore, the analysis provides insights into the challenges experienced by women entrepreneurs, strategies undertaken and lessons learned from COVID-19. The life lessons learned showed the importance of technical skills and their business operations during the crisis. Research limitations/implications This study is very specific in its context and limitations of this study offers new avenue for research to extend study in different perspectives. First, interviews were conducted from women entrepreneurs running businesses in sub-urban cities of Pakistan, where study can be extended to include both male and female in a comparative study which can expose new dimensions. Second, this study is conducted in the sub-urban areas of the Sindh province of Pakistan, which can be extended to other areas of the country because Pakistan is multicultural and multilingual, which offer different gender specific factors for entrepreneurial activities in general terms but in case of the Covid-19 situation, there exists great variations and social stratifications. Third, this study can be extended to other developing or developed countries or comparative study can provide a new flavor of knowledge. Practical implications The study's finding offers few implications for the entrepreneurs, societies and government at large. Although the pandemic crisis has had devastating effects on health and lifestyle activities, there is always a ray of coming to innovative approaches to fulfill the entrepreneurial desires and serve the community. Thus, entrepreneurs are encouraged to contribute to the economy as a part of society through their sustainable products and services for the greater good. There is also a need for some social policies to find entrepreneurial ways to deal with the COVID-19 crisis that integrates value co-creation for society (Ratten, 2020b). Government and society should also intervene and play their role to encourage women entrepreneurs to feel a sense of empowerment, contribute to family income, alleviate poverty, create jobs and help in economic growth. Originality/value This study's unique contribution and origin are to explore the COVID-19-related entrepreneurial learning experiences of women entrepreneurs in a developing country (Pakistan). Moreover, this study theoretically contributes to the development of experiential learning theory by expanding its insights during COVID-19.

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Section: Methodsmentioning

confidence: 99%

Learning experiences of women entrepreneurs amidst COVID-19

Afshan

Shahid

Tunio³

2021

IJGE

111

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“…e existing literature has enlightened the association between ICT and economic growth. Because of ICT, there expanded the decisions for individuals, simple way to deal with the information and skill, and that actions that are important and agreeable to make life more agreeable [29,30].…”

Section: Literature Reviewmentioning

confidence: 99%

A Blockchain Technique for Trade Credit Maintainability Using the Role of Information and Communication Technology

Shah

Liu

Shah

et al. 2022

Journal of Mathematics

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Recent advances in data analysis and processing methods can improve the ability of computational applications to perform complex steps of different tasks. With the progress of information and communication technologies (ICT), Blockchain-based complex data processing for transaction analysis and smart contract agreement has become a new research area in the fields of mathematics and computation. Stability of financial sector based on the ICT is a core component for growing the economics of medium and small enterprises. This stability brings the innovation to businesses productivity, while the management of information takes more prospective for improving the efficiency and more ways for innovating the business of products. In this study, we use the autoregressive distribution lag (ARDL) model with Blockchain-based complex data processing approach to emphasize the role of ICT in the field of trade credit maintainability. Actually, the ICT connects the industries in the entire world and makes business sectors that use its technologies be more advanced. Based on the ARDL model conducted on the records gathered from 2000 to 2019, the analysis concludes that the ICT-based complex data processing is a critical component of trade credit. The statistics of ICT are chosen based on the economy penetrations through the Internet and mobile phones. The causality exposed between the trade credit and ICT is bidirectional in nature. Also, it is found that the usage of mobile phones has a substantial influence on the business sectors, as a substantial amount of trading and business transactions are conducted over the phone. Therefore, the primary concern is the association between the Blockchain and trade credit, which is thoroughly discussed in this work. The trade credit improves the stability of financial sector and the Blockchain supports its maintainability by the role of ICT. The results of the study can help the business stakeholders and investors to estimate the marketing for future useful execution.

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“…Different parts of the FinTech business are acquiring consideration step by step. It incorporates InsurTech, advanced venture executives, computerized loaning, installments, advanced banking, and blockchain innovation [7]. e financial sector relies heavily on financial data, which is utmost sensitive data, with enormous amounts of historical and market data emerging.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning: The Backbone of Intelligent Trade Credit-Based Systems

Shah

Liu

Anwar

et al. 2022

Security and Communication Networks

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Technology has turned into a significant differentiator in the money and traditional recordkeeping systems for the financial industry. To depict two customers as potential investors, it is mandatory to give the complex innovation that they anticipate and urge to purchase. In any case, it is difficult to keep on top of and be a specialist in each of the new advancements that are accessible. By reappropriating IT administrations, monetary administrations firms can acquire prompt admittance to the most recent ability and direction. Financial systems, along with machine learning (ML) algorithms, are vital for critical concerns like secure financial transactions and automated trading. These are the key to the provision of financial decisions for investors and stakeholders for the firms which are working with the trade credit (TC) approach, in Small and Medium Industries (SMEs). Huge and very sensitive data is processed in a limited time. The trade credit is a reason for more financial gains. The impact of TC with predictive machine learning algorithms is the reason why intelligent and safe revenue generation is the main target of the proposed study. That is, the combination of financial data and technology (FinTech) domains is a potential reason for sales growth and ultimately more profit.

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Challenges of small- and medium-sized businesses in Pakistan due to COVID-19 pandemic

Cited by 5 publications

References 14 publications

Learning experiences of women entrepreneurs amidst COVID-19

Learning experiences of women entrepreneurs amidst COVID-19

A Blockchain Technique for Trade Credit Maintainability Using the Role of Information and Communication Technology

Machine Learning: The Backbone of Intelligent Trade Credit-Based Systems

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