Trends and Impacts of Different Barriers on Bangladeshi RMG Industry’s Sustainable Development

Hasan, Morshadul; Parven, Tanjina; Khan, Shajib; Mahmud, Appel; Lu, Yuping

doi:10.21632/irjbs.11.3.245-260

Cited by 12 publications

(13 citation statements)

References 45 publications

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“…The purpose of this study is to locate academic research focusing on the related studies of big data and finance. To accomplish this research, secondary data sources were used to collect related data [31,32,34]. To collect secondary data, the study used the electronic database Scopus, the web of science, and Google scholar [33].…”

Section: Methodsologymentioning

confidence: 99%

Current landscape and influence of big data on finance

2020

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In the age of technological innovation, various types of data are available with the advance of information technologies, and data is seen as one of the most valuable commodities in managing automation systems [13, 68]. In this sense, financial markets and technological evolution have become related to every human activity in the past few decades. Big data technology has become an integral part of the financial services industry and will continue to drive future innovation [12]. Financial innovations are also considered the fastest emerging issues in financial services. More specifically, they cover a variety of financial businesses such as online peer-to-peer lending, crowd-funding platforms, SME finance, wealth management and asset management platforms, trading management, crypto-currency, money/remittance transfer, mobile payments platforms, and so on. All of these services create thousands of pieces of data every day. Therefore,

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Section: Methodsologymentioning

confidence: 99%

Current landscape and influence of big data on finance

2020

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“…That is why the data used in this article is collected from variety of sources using multiple methods (D. H. Shin & Park, 2017). When using content analysis, most articles were collected from secondary sources (Hasan et al, 2018;Hasan & Mahmud, 2017a, 2017bNekmahmud & Rahman, 2018;D. H. Shin & Park, 2017).…”

Section: Data Collection and Content Analysismentioning

confidence: 99%

Regional Development of China’s Inclusive Finance Through Financial Technology

Hasan

Mahmud

2020

Sage Open

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Financial technology, commonly used the term as FinTech, is a key emerging driver of inclusive finance. This is also one of the emerging issues of finance as well as financial research. This research is done with the purpose of showing the present status of China’s FinTech in inclusive finance development. In addition, the study raises regional disparity and critical issues related to the inclusive development. A secondary data analysis methods are systematically carried out to demonstrate the present situation of internet finance in the development of inclusive finance in China, as well as the developing status of different provinces through internet finance. The ultimate finding of this research is that, despite significant development in China’s financial system, there is still a development inequality between the most and least developed regions. This study also identifies some important issues that should be taken care of by the policy makers. This research is done from authentic data also sources with appropriate explanations, which help the readers, academicians, researchers, and others to get comprehensive understanding of China’s FinTech and its influence on inclusive development.

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“…Following the abolition of global quotas and multi-fibre agreements on trade in clothing and textiles under the World Trade Organization, on 1 January 2005, the RMG industry has faced tremendous challenges, especially when Bangladesh moved into the quota-free world market. Thus, it is an immense challenge for the garment industry of Bangladesh to preserve its existing market share and progress trade by increasing competitiveness (Hasan et al, 2018). However, Bangladesh's apparel industry growth is declining as it has seen only a 0.20% rise in the 2016/17 fiscal year, which is the lowest on record in the last fifteen years.…”

Section: Problem Statementmentioning

confidence: 99%

“…The readymade garment industry has a more significant prospect than any other sector in terms of female empowerment, poverty alleviation, employment opportunities and making a contribution to the national economy (Ahamed, 2014). It is the driving force for the economic development of the country (Hasan et al, 2018;Mahmud & Afrin, 2018). Bangladesh has already secured second place in garment exports in the global market scenario, following just behind China (Dhaka Tribune, 2019).…”

Section: Introduction and Motivation Of The Studymentioning

confidence: 99%

The Effects of Wages and Welfare Facilities on Employee Productivity: Mediating Role of Employee Work Motivation

Alam¹,

Hassan²,

Bowyer³

et al. 2020

AABFJ

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Purpose- Garment employee productivity in Bangladesh is the lowest compared to its competitors such as China, India, Pakistan and Sri Lanka. The Bangladeshi Ready-Made Garment (RMG) industry will find it a challenge to survive in the global market unless they improve employee productivity. Therefore, the primary purpose of this study was to observe the relationship among wages and benefits, welfare facilities, employee work motivation and employee productivity. Design/Methodology/Approach- The study was conducted under the positivism philosophy for which Maslow’s Hierarchy of Needs Theory was used for framing the hypotheses. A deductive approach, explanatory research design and a quantitative methodology was followed in order to conduct the study. Through a questionnaire survey, twenty-five items were taken from existing literature to measure the variables. By a systematic probability sampling technique, 500 samples were collected from the target population. Thereafter, SPSS and SEM using Smart-PLS were utilised for analysing and developing the model. Findings- The outcome of the analysis revealed that all seven hypotheses were supported. Practical Implications- These findings will assist the policymakers, the government of Bangladesh, factory owners, managers and other stakeholders to formulate new policies and practices. Originality/Value- This study explores the relationship among wages and benefits, welfare facilities, employee work motivation and employee productivity which has not been explored theoretically and tested empirically in a Bangladeshi context. In the future, comparative research can be carried out by collecting samples from the EPZ (Export Processing Zone) and non-EPZ factories.

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Trends and Impacts of Different Barriers on Bangladeshi RMG Industry’s Sustainable Development

Cited by 12 publications

References 45 publications

Current landscape and influence of big data on finance

Current landscape and influence of big data on finance

Regional Development of China’s Inclusive Finance Through Financial Technology

The Effects of Wages and Welfare Facilities on Employee Productivity: Mediating Role of Employee Work Motivation

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