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Article
Publication date: 27 July 2022

Piyush Katariya, Vedika Gupta, Rohan Arora, Adarsh Kumar, Shreya Dhingra, Qin Xin and Jude Hemanth

The current natural language processing algorithms are still lacking in judgment criteria, and these approaches often require deep knowledge of political or social contexts…

Abstract

Purpose

The current natural language processing algorithms are still lacking in judgment criteria, and these approaches often require deep knowledge of political or social contexts. Seeing the damage done by the spreading of fake news in various sectors have attracted the attention of several low-level regional communities. However, such methods are widely developed for English language and low-resource languages remain unfocused. This study aims to provide analysis of Hindi fake news and develop a referral system with advanced techniques to identify fake news in Hindi.

Design/methodology/approach

The technique deployed in this model uses bidirectional long short-term memory (B-LSTM) as compared with other models like naïve bayes, logistic regression, random forest, support vector machine, decision tree classifier, kth nearest neighbor, gated recurrent unit and long short-term models.

Findings

The deep learning model such as B-LSTM yields an accuracy of 95.01%.

Originality/value

This study anticipates that this model will be a beneficial resource for building technologies to prevent the spreading of fake news and contribute to research with low resource languages.

Details

International Journal of Web Information Systems, vol. 18 no. 5/6
Type: Research Article
ISSN: 1744-0084

Keywords

Article
Publication date: 18 June 2021

Sachin Kumar, Tapan K. Panda and Krishan Kumar Pandey

This study aims to examine the relationship between employees’ mindfulness and pro-environmental behaviour, along with the mediating role of self-transcendent values, at the…

Abstract

Purpose

This study aims to examine the relationship between employees’ mindfulness and pro-environmental behaviour, along with the mediating role of self-transcendent values, at the workplace.

Design/methodology/approach

The study uses online data collected from 381 respondents employed in different industries across India. Confirmatory factor analysis was used to check the construct’s validity and reliability and Pearson correlation was used to examine the relationship between the variables. Moreover, the PROCESS macro of Hayes (2017) was used to examine the mediation.

Findings

Employees’ mindfulness was found to be positively associated with voluntary pro-environmental behaviour at the workplace, and the mediation analysis specifies that a self-transcendent value partially mediates this relationship.

Research limitations/implications

This study tested and extends the S-ART model and Schwartz value theory in the context of employees’ pro-environment behaviours at the workplace.

Practical implications

The results could be encouraging and helpful for top management and organizational change champions in strategizing and effective implementation of mindfulness programmes that would encourage and enhance employees’ voluntary participation in environment-friendly activities at their workplace.

Originality/value

Despite the decisive role of employees in organisations’ environmental sustainability programmes’ success, the availability of scant literature has led researchers to call for more studies. The present study is timely and could be the first to examine the role of employees’ mindfulness and self-transcendent values in influencing employees’ engagement in environmental-friendly behaviours at the workplace.

Open Access
Article
Publication date: 21 September 2021

Ogechi Adeola, Adenike Aderonke Moradeyo, Obinna Muogboh and Isaiah Adisa

This study examines consumer online purchase behaviour in the Nigerian fashion industry.

18448

Abstract

Purpose

This study examines consumer online purchase behaviour in the Nigerian fashion industry.

Design/methodology/approach

A cross-sectional study was conducted with a total useable sample size of 241 respondents contacted through on-site visitation. Descriptive and inferential statistics were used to test the influence of customer value on online purchase behaviour in the fashion industry.

Findings

Consumer values are categorised into terminal (happiness, love and satisfaction) and instrumental (time-saving, price-saving discount, service convenience and merchandise assortment) values. The findings show that both values have significant influence on online consumer purchase behaviour, while fashion consciousness moderates the relationship between consumer values and online purchase behaviour.

Practical implications

Online fashion retailers should focus on increasing the terminal and instrumental values of their products and making available goods that meet the needs of different generational cohorts in society.

Originality/value

Studies have examined various factors, for example, consumer values that are determinants of consumer online purchase in the fashion industry; however, there has been limited focus on the nature of fashion and online purchasing in emerging markets, particularly those in Sub-Saharan Africa.

Details

PSU Research Review, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2399-1747

Keywords

Article
Publication date: 4 February 2022

Anshika Anshika and Anju Singla

This paper aims to study the level of financial literacy of entrepreneurs across the globe and its role in financial access and performance of micro, small and medium enterprises…

2320

Abstract

Purpose

This paper aims to study the level of financial literacy of entrepreneurs across the globe and its role in financial access and performance of micro, small and medium enterprises (MSMEs) based on a systematic review. The present study identifies the measures to enhance the level of financial literacy for increasing financial access and performance of enterprises.

Design/methodology/approach

Systematic literature review has been undertaken by identifying 358 studies from various sources. After removing the 237 studies based on selection criteria, 67 studies have been found relevant for the present study.

Findings

The level of financial literacy of entrepreneurs around the world is generally low. It has been found that financial literacy improves performance of an enterprise, particularly when the funds are readily available as insufficient funds disrupt the operating efficiency of the firm, thereby hindering its growth and survival. The other most important factors i.e. access to formal finance, lending policies of financial institutions, ease of doing business and training programmes have a substantial influence on the survival of the firms. The literature also revealed that there is no standardised methodology to measure the financial literacy of entrepreneurs.

Research limitations/implications

The study conceptualises a research model which can be used by the policymakers to develop training modules for entrepreneurs. These training modules will contribute to the nation’s economic growth by virtue of enhanced performance and superior financial access.

Originality/value

This study proposes a hypothesised research model which is one of its kinds to demonstrate the influence of financial literacy on financial access and performance of MSMEs.

Details

Managerial Finance, vol. 48 no. 9/10
Type: Research Article
ISSN: 0307-4358

Keywords

Article
Publication date: 28 November 2022

Preeti Khanna and Arunima Haldar

Blockchain technology is predicted by many to be the most disruptive technology which might bring accessibility, efficiency and transparency in the financial industry. This study…

Abstract

Purpose

Blockchain technology is predicted by many to be the most disruptive technology which might bring accessibility, efficiency and transparency in the financial industry. This study aims to understand the challenges likely to be faced by the Indian banking industry while adopting the technology.

Design/methodology/approach

The study adopted a qualitative approach to explore the challenges faced by the banking industry in India. Semi-structured in-depth interviews with senior executives and academicians in the finance and the information technology industries helped gain explorative insights about the challenges.

Findings

Thematic analysis suggested a framework comprising five challenges while adopting blockchain technology. These challenges relate to technology, organisation, operation, regulator and environmental context.

Originality/value

The paper contributes to the limited literature on the nascent blockchain technology adoption in banking industry in an emerging country context.

Details

Qualitative Research in Financial Markets, vol. 15 no. 2
Type: Research Article
ISSN: 1755-4179

Keywords

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