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Article
Publication date: 29 January 2024

Mahfooz Alam, Tariq Aziz and Valeed Ahmad Ansari

This paper aims to investigate the association of COVID-19 confirmed cases and deaths with mental health, unemployment and financial markets-related search terms for the USA, the…

Abstract

Purpose

This paper aims to investigate the association of COVID-19 confirmed cases and deaths with mental health, unemployment and financial markets-related search terms for the USA, the UK, India and worldwide using Google Trends.

Design/methodology/approach

The authors use Spearman’s rank correlation coefficients to assess the relationship between relative search volumes (RSVs) and mental health, unemployment and financial markets-related search terms, with the total confirmed COVID-19 cases as well as deaths in the USA, UK, India and worldwide. The sample period starts from the day 100 cases were reported for the first time, which is 7 March 2020, 13 March 2020, 23 March 2020 and 28 January 2020 for the US, the UK, India and worldwide, respectively, and ends on 25 June 2020.

Findings

The results indicate a significant increase in anxiety, depression and stress leading to sleeping disorders or insomnia, further deteriorating mental health. The RSVs of employment are negatively significant, implying that people are hesitant to search for new jobs due to being susceptible to exposure, imposed lockdown and social distancing measures and changing employment patterns. The RSVs for financial terms exhibit the varying associations of COVID-19 cases and deaths with the stock market, loans, rent, etc.

Research limitations/implications

This study has implications for the policymakers, health experts and the government. The state governments must provide proper medical facilities and holistic care to the affected population. It may be noted that the findings of this study only lead us to conclude about the relationship between COVID-19 cases and deaths and Google Trends searches, and do not as such indicate the effect on actual behaviour.

Originality/value

To the best of the authors’ knowledge, this is the first attempt to investigate the relationship between the number of COVID-19 cases and deaths in the USA, UK and India and at the global level and RSVs for mental health-related, job-related and financial keywords.

Details

Journal of Public Mental Health, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1746-5729

Keywords

Article
Publication date: 22 February 2024

Ranjeet Kumar Singh

Although the challenges associated with big data are increasing, the question of the most suitable big data analytics (BDA) platform in libraries is always significant. The…

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Abstract

Purpose

Although the challenges associated with big data are increasing, the question of the most suitable big data analytics (BDA) platform in libraries is always significant. The purpose of this study is to propose a solution to this problem.

Design/methodology/approach

The current study identifies relevant literature and provides a review of big data adoption in libraries. It also presents a step-by-step guide for the development of a BDA platform using the Apache Hadoop Ecosystem. To test the system, an analysis of library big data using Apache Pig, which is a tool from the Apache Hadoop Ecosystem, was performed. It establishes the effectiveness of Apache Hadoop Ecosystem as a powerful BDA solution in libraries.

Findings

It can be inferred from the literature that libraries and librarians have not taken the possibility of big data services in libraries very seriously. Also, the literature suggests that there is no significant effort made to establish any BDA architecture in libraries. This study establishes the Apache Hadoop Ecosystem as a possible solution for delivering BDA services in libraries.

Research limitations/implications

The present work suggests adapting the idea of providing various big data services in a library by developing a BDA platform, for instance, providing assistance to the researchers in understanding the big data, cleaning and curation of big data by skilled and experienced data managers and providing the infrastructural support to store, process, manage, analyze and visualize the big data.

Practical implications

The study concludes that Apache Hadoops’ Hadoop Distributed File System and MapReduce components significantly reduce the complexities of big data storage and processing, respectively, and Apache Pig, using Pig Latin scripting language, is very efficient in processing big data and responding to queries with a quick response time.

Originality/value

According to the study, there are significantly fewer efforts made to analyze big data from libraries. Furthermore, it has been discovered that acceptance of the Apache Hadoop Ecosystem as a solution to big data problems in libraries are not widely discussed in the literature, although Apache Hadoop is regarded as one of the best frameworks for big data handling.

Details

Digital Library Perspectives, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2059-5816

Keywords

Article
Publication date: 21 October 2023

Alex Rudniy, Olena Rudna and Arim Park

This paper seeks to demonstrate the value of using social media to capture fashion trends, including the popularity of specific features of clothing, in order to improve the speed…

Abstract

Purpose

This paper seeks to demonstrate the value of using social media to capture fashion trends, including the popularity of specific features of clothing, in order to improve the speed and accuracy of supply chain response in the era of fast fashion.

Design/methodology/approach

This study examines the role that text mining can play to improve trend recognition in the fashion industry. Researchers used n-gram analysis to design a social media trend detection tool referred to here as the Twitter Trend Tool (3Ts). This tool was applied to a Twitter dataset to identify trends whose validity was then checked against Google Trends.

Findings

The results suggest that Twitter data are trend representative and can be used to identify the apparel features that are most in demand in near real time.

Originality/value

The 3Ts introduced in this research contributes to the field of fashion analytics by offering a novel method for employing big data from social media to identify consumer preferences in fashion elements and analyzes consumer preferences to improve demand planning.

Practical implications

The 3Ts improves forecasting models and helps inform marketing campaigns in the apparel retail industry, especially in fast fashion.

Details

Journal of Fashion Marketing and Management: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1361-2026

Keywords

Article
Publication date: 9 January 2024

Jitendra Yadav, Kuldeep Singh, Nripendra P. Rana and Denis Dennehy

Social media has played a pivotal role in polarizing views on Russia–Ukraine conflict. The effects of polarization in online interactions have been extensively studied in many…

Abstract

Purpose

Social media has played a pivotal role in polarizing views on Russia–Ukraine conflict. The effects of polarization in online interactions have been extensively studied in many contexts. This research aims to examine how multiple social media sources may act as an integrator of information and act as a platform for depolarizing behaviors.

Design/methodology/approach

This study analyzes the communications of 6,662 tweets related to the sanctions imposed on Russia by using textual analytics and predictive modeling.

Findings

The research findings reveal that the tweeting behavior of netizens was depolarized because of information from multiple social media sources. However, the influx of information from non-organizational sources such as trending topics and discussions has a depolarizing impact on the user’s pre-established attitude.

Research limitations/implications

For policymakers, conflict mediators and observers, and members of society in general, there is a need for (1) continuous and consistent communication throughout the crisis, (2) transparency in the information being communicated and (3) public awareness of the polarized and conflicting information being provided from multiple actors that may be biased in the claims being made about the conflict crisis.

Originality/value

While previous research has examined Russia–Ukraine conflict from a variety of perspectives, this is the first study to examine how social media might be used to reduce attitude polarization during times of conflict.

Details

Information Technology & People, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0959-3845

Keywords

Article
Publication date: 28 February 2024

Nedal Sawan, Krayyem Al-Hajaya, Mohammad Alshhadat and Rami Ibrahim A. Salem

Focusing on the quality of teaching and learning, this study aims to explore the perceptions of accountancy students in two emerging UK Higher Education Institutions (HEIs) of the…

Abstract

Purpose

Focusing on the quality of teaching and learning, this study aims to explore the perceptions of accountancy students in two emerging UK Higher Education Institutions (HEIs) of the quality of their learning experiences and the impact of these experiences on generic skills development.

Design/methodology/approach

A questionnaire survey was used to collect the data. OLS regression was used to test the hypothesis regarding the impact of student learning experiences (lecturer ability, assessment and curriculum) on generic skills development.

Findings

Students value the lecturer as the most important determinant of the quality of their experience. They rated their assessment programme very positively, and the curriculum suggests that students tend to experience a deep blended approach to learning. They also felt that they acquired a wide range of soft competency skills such as those associated with research, critical thinking and time management. Multivariate findings indicate that lecturer ability and curriculum contribute significantly and positively to generic skills development.

Practical implications

The study provides a benchmark for international accounting and business educators in any efforts to assess the efficacy of HE delivery since the pandemic. By implication, it enables the identification of enhancements to the previous character of delivery and hence offers the means to direct improvements to the student experience. Such improvements can then be seen in the National Student Survey (NSS) scores, thereby positively contributing to the next Teaching Excellence Framework. Additionally, such tangible enhancements in NSS scores may be advantageous to HEIs, in the UK and other Western countries, in their efforts to recruit international students on whom they place great reliance for increased revenue, to their international business education programmes.

Originality/value

This study addresses the research gap surrounding the link between teaching and learning approaches in accounting and the development of generic skills. Furthermore, acknowledging that the COVID-19 pandemic with its imposed structural change in the HE teaching and learning environment ushered in a new model of curriculum delivery, this study reflects on the pre-COVID-19 scenario and gathers student perceptions of their teaching and learning experiences before the changes necessitated by lockdowns. It therefore brings the opportunity to anchor future research exploring the post-COVID-19 environment and secure comparative analyses.

Details

Journal of International Education in Business, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2046-469X

Keywords

Article
Publication date: 5 July 2023

Philip Seagraves

The paper aims to provide a comprehensive analysis of artificial intelligence’s (AI) transformative impact on the real estate industry. By examining various AI applications, from…

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Abstract

Purpose

The paper aims to provide a comprehensive analysis of artificial intelligence’s (AI) transformative impact on the real estate industry. By examining various AI applications, from property recommendations to compliance automation, this study highlights potential benefits such as increased accuracy and efficiency. At the same time, this study critically discusses potential drawbacks, like privacy concerns and job displacement. The paper's goal is to offer valuable insights to industry professionals and policy makers, aiding strategic decision-making as AI continues to reshape the landscape of the real estate sector.

Design/methodology/approach

This paper employs an extensive literature review, combined with a qualitative analysis of case studies. Various AI applications in the real estate industry are examined, including machine learning for property recommendations and valuation, VR/AR property tours, AI automation for contract and regulatory compliance, and chatbots for customer service. The study also delves into the optimisation potential of AI in building management, lead generation, and risk assessment, whilst critically discussing potential challenges such as data privacy, algorithmic bias, and job displacement. The outcomes aim to inform strategic decisions for industry professionals and policy makers.

Findings

The study finds that AI has significant potential to revolutionise the real estate industry through enhanced accuracy in property valuation, efficient automation and immersive AR/VR experiences. AI-driven chatbots and optimisation in building management also hold promise. However, this study also uncovers potential challenges, including data privacy issues, algorithmic biases, and possible job displacement due to increased automation. The insights gleaned from this study underscore the importance of strategic decision-making in harnessing the benefits of AI while mitigating potential drawbacks in the real estate sector.

Practical implications

The paper's practical implications extend to industry professionals, policy makers, and technology developers. Professionals gain insights into how AI can enhance efficiency and accuracy in the real estate sector, guiding strategic decision-making. For policy makers, understanding potential challenges like data privacy and job displacement informs regulatory measures. Technology developers can also benefit from understanding the sector-specific applications and concerns raised. Additionally, highlighting the need for addressing algorithmic bias and privacy concerns in AI systems may foster better design practices. Therefore, the paper's findings could significantly shape the future trajectory of AI integration in real estate.

Originality/value

The paper provides original value by offering a comprehensive analysis of the transformative impact of AI in the real estate industry. Its multi-faceted examination of AI applications, coupled with a critical discussion on potential challenges, provides a balanced perspective. The paper's focus on informing strategic decisions for professionals and policy makers makes it a valuable resource. Moreover, by considering both benefits and drawbacks, this study contributes to the discourse on AI's broader societal implications. In the context of rapid technological change, such comprehensive studies are rare, adding to the paper's originality.

Details

Journal of Property Investment & Finance, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1463-578X

Keywords

Article
Publication date: 21 March 2024

Carla Chalhoub and Ibrahim Farah

This paper aims to study the after-effects of the crises hit by the Lebanese population and the solutions implemented to alleviate the ensuing problems on resource sharing in…

Abstract

Purpose

This paper aims to study the after-effects of the crises hit by the Lebanese population and the solutions implemented to alleviate the ensuing problems on resource sharing in Lebanese libraries.

Design/methodology/approach

Questionnaire to academic libraries. Nine libraries in Lebanon offer resource sharing services; all nine are academic. A self-administered questionnaire was sent to these nine libraries; eight responded. A semi-quantitative approach was used to analyze the responses. The questionnaire was administered through Microsoft Forms. The form was designed to include dichotomous questions for the sake of quantitative analysis and a short answer format that allowed responders to provide additional details. American University of Beirut Data. The access services department at the American University of Beirut Jafet Library compiles on a daily basis interlibrary loan statistics. The compiled data were divided into two groups: duration of two fiscal years prior to June 2020; and from June 2020 to June 2022. June 2020 was used as a cutoff date after which the interlibrary loan initiatives in response to COVID-19 were implemented. The services that were analyzed were RSCVD, OCLC WorldShare ILL profiled groups, Emergency Temporary Access Service for HathiTrust members and Open Access Services from vendors.

Findings

Libraries in Lebanon were able to continue providing resource-sharing services with a minimal budget due to four major initiatives and through the help of the international resource-sharing community.

Originality/value

Limited publication about inter library loan in Lebanese Libraries. The pandemic hit economies worldwide; however, Lebanon got hit by three synergetic crises, and the initiatives were instrumental in drastically reducing resource sharing expenditure without affecting the interlibrary loan fill rate.

Details

Information Discovery and Delivery, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2398-6247

Keywords

Article
Publication date: 16 January 2024

C.A. Saliya

The purpose of this study is to explore the roles that sociocultural systems such as traditions, religious practices, and rituals play in upholding gender imbalance in Fiji.

Abstract

Purpose

The purpose of this study is to explore the roles that sociocultural systems such as traditions, religious practices, and rituals play in upholding gender imbalance in Fiji.

Design/methodology/approach

This qualitative study relies on results from semi-structured interviews with auditors, educationalists, academics, partners from leading accounting/audit firms, company directors and high-ranked government officers. Thematic analysis was conducted both manually and using MAXQDA software, and the themes that emerged from both analyses are complementary. A few more complementary analyses were also conducted such as Word Cloud.

Findings

The results support the claim that the religious traditions and rituals are strongly linked to gender-inequitable beliefs and suggest sociocultural factors impose on women experiencing self-effacing emotions and passive acceptance of lower status, contributing to the persistence of gender inequality. It also emphasizes the need to challenge certain sociocultural practices to promote greater gender equality, which is the theme emerged from thematic analysis. Additionally, this paper proposes four distinct types of attitudes in this regard as self-effacing feminist, self-effacing traditional, self-effacing modesty and talented driven.

Research limitations/implications

Respondents' openness authenticity may be limited by factors like selection bias, small sample size and other potential constraints in this study.

Practical implications

The findings might influence stakeholders to advocate for policy changes to promote women's representation in leadership positions. The results give voice to various segments of society who are advocating greater gender diversity on board representation in Fiji. The themes immerged and theories developed would make a substantial contribution to the existing literature.

Social implications

The findings highlight the importance of addressing gender inequality in leadership positions to promote inclusive and sustainable growth.

Originality/value

This study sheds light on the less-explored domain of internal barriers to gender equality within Fiji. It adds a novel dimension to the understanding of how cultural norms intersect with individual perceptions to shape gender inequality.

Details

International Journal of Sociology and Social Policy, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0144-333X

Keywords

Article
Publication date: 19 May 2023

Ambareen Beebeejaun

The phenomenal proliferation of crowdfunding platforms raises concerns on the heightened occurrence of financial crimes since billions of funds are exchanged through these online…

Abstract

Purpose

The phenomenal proliferation of crowdfunding platforms raises concerns on the heightened occurrence of financial crimes since billions of funds are exchanged through these online systems frequently. Accordingly, some countries have implemented legislative responses to address these risks, although each countries’ laws have varying degrees of severity. Hence, the purpose of this study is to assess the efficiency and robustness of Mauritian laws to combat financial crimes that may arise from a crowdfunding transaction with a particular emphasis on money laundering and tax evasion.

Design/methodology/approach

To achieve this research objective, the black letter approach was used to analyse Mauritian rules and regulations on the researched topic and a comparative analysis was carried out against the corresponding laws on crowdfunding in some other jurisdictions, notably the UK and the USA with the view of suggesting the policy recommendations to Mauritian authorities.

Findings

It was found that there is still scope for improving the existing legal and regulatory framework on crowdfunding in Mauritius to prevent instances of money laundering and tax evasion. The paper suggests that a crowdfunding operator must be categorised as a reporting person and must carry out regular due diligence checks. There must also be more collaboration in terms of information exchanges and training sessions among the tax authority of Mauritius, crowdfunding operators, fund seekers and investors to shed light on the tax treatment of income and deductions to avoid issues of tax evasion.

Originality/value

At present, to the best of the authors’ knowledge, this study is amongst the first academic writings on the efficiency of Mauritian laws in dealing with the risk of financial crimes through crowdfunding, and also, because existing literature is quite scarce on assessing the adequacy of crowdfunding rules in developing countries, this research aims at filling in the gap in literature. The study is carried out with the aim of combining a large amount of empirical, theoretical and factual information that can be of use to various stakeholders and not only to academics.

Details

Journal of Financial Crime, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1359-0790

Keywords

Article
Publication date: 16 February 2024

Hajar Chetioui, Hind Lebdaoui, Oumaima Adelli, Fatima Zahra Bendriouch, Youssef Chetioui and Kawtar Lebdaoui

Following the COVID-19 pandemic, most higher education institutes shifted to online learning as the sole alternative to continuing education while mitigating the risks imposed by…

Abstract

Purpose

Following the COVID-19 pandemic, most higher education institutes shifted to online learning as the sole alternative to continuing education while mitigating the risks imposed by the pandemic. This has raised several concerns regarding students’ learning experience, satisfaction and academic achievement, particularly in countries where students have restrained technological resources (i.e. developing nations). The current research aims to investigate the key factors influencing students’ attitudes, satisfaction and academic achievement among university students in an emerging market context (i.e. Morocco). The moderating effect of students’ motivation to study online was also scrutinized.

Design/methodology/approach

The authors propose an integrated conceptual framework that combines the technology acceptance model (TAM) with the outcomes of prior literature related to online learning. Based on data collected from 850 Moroccan university students, the authors empirically tested the conceptual model using a partial least squares (PLS) estimation.

Findings

First, attitude toward online learning and satisfaction positively impact university students’ academic achievement; at the same time, attitude positively impacts students’ satisfaction with online learning. Second, students’ satisfaction and attitude toward online learning were found to be mainly influenced by instructor performance, ease of use of the online learning platform, information quality, interactivity and perceived usefulness (PU). Finally, student motivation acts as a moderator, e.g. students with higher motivation to learn online are more likely to develop a favorable attitude toward online learning and can, therefore, accomplish better academic performance.

Originality/value

The current study makes a considerable contribution to the literature by contributing to the on-going debate about the potentials and challenges of online learning, particularly in an emerging country where education remains a considerable challenge. The study findings can help higher education institutes gauge the quality of online education programs and design efficient strategies to develop high-quality online learning for students. Our findings have implications not only for educational institutions and instructors in developing markets but also for the vendors of online course delivery software.

Details

Journal of Applied Research in Higher Education, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2050-7003

Keywords

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