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Article
Publication date: 22 December 2020

Zemenu Bires and Sahil Raj

The purpose of this study was to uncover the impact of social media in supporting environmental conservation (EC) in protected areas.

Abstract

Purpose

The purpose of this study was to uncover the impact of social media in supporting environmental conservation (EC) in protected areas.

Design/methodology/approach

The study has employed both quantitative and qualitative approaches of a cross-sectional type with simple random and purposive sampling were followed. Primary and secondary data sources were also entertained. A total of 146 observations were used in the analysis. A multiple linear regression analysis was used to measure the impact of social media.

Findings

The result revealed user-generated content and ease of language were significant in explaining EC. Environmental activism and social media usage shall be enhanced with environmental concerns (EnvCs) and objectives.

Originality/value

This is s an original research that tried to address the impact social media on EC and its dimensions in Lake Tana Biosphere Reserve. Unlike the research studies so far, this research attempted to uncover the impact of each social media element's impact on each EC dimensions. Besides, the impact of social media element is also assessed on EC as a construct in general. Thus, it will be helpful for policy makers, government and destination management organizations and other stakeholders to identify the areas which should be promoted and areas that need intervention.

Details

Journal of Cultural Heritage Management and Sustainable Development, vol. 11 no. 4
Type: Research Article
ISSN: 2044-1266

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Article
Publication date: 17 January 2022

Brinda Sampat and Sahil Raj

“Fake news” or misinformation sharing using social media sites into public discourse or politics has increased dramatically, over the last few years, especially in the…

Abstract

Purpose

“Fake news” or misinformation sharing using social media sites into public discourse or politics has increased dramatically, over the last few years, especially in the current COVID-19 pandemic causing concern. However, this phenomenon is inadequately researched. This study examines fake news sharing with the lens of stimulus-organism-response (SOR) theory, uses and gratification theory (UGT) and big five personality traits (BFPT) theory to understand the motivations for sharing fake news and the personality traits that do so. The stimuli in the model comprise gratifications (pass time, entertainment, socialization, information sharing and information seeking) and personality traits (agreeableness, conscientiousness, extraversion, openness and neuroticism). The feeling of authenticating or instantly sharing news is the organism leading to sharing fake news, which forms the response in the study.

Design/methodology/approach

The conceptual model was tested by the data collected from a sample of 221 social media users in India. The data were analyzed with partial least squares structural equation modeling to determine the effects of UGT and personality traits on fake news sharing. The moderating role of the platform WhatsApp or Facebook was studied.

Findings

The results suggest that pass time, information sharing and socialization gratifications lead to instant sharing news on social media platforms. Individuals who exhibit extraversion, neuroticism and openness share news on social media platforms instantly. In contrast, agreeableness and conscientiousness personality traits lead to authentication news before sharing on the social media platform.

Originality/value

This study contributes to social media literature by identifying the user gratifications and personality traits that lead to sharing fake news on social media platforms. Furthermore, the study also sheds light on the moderating influence of the choice of the social media platform for fake news sharing.

Details

Aslib Journal of Information Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2050-3806

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Article
Publication date: 8 October 2021

Abhishek Behl, Brinda Sampat and Sahil Raj

Gig workers form the backbone of any crowdsourcing platform where they showcase their talent and choose a job of their choice and freedom. The study explores the role of…

Abstract

Purpose

Gig workers form the backbone of any crowdsourcing platform where they showcase their talent and choose a job of their choice and freedom. The study explores the role of information quality (IQ) and social-mediated dialogue (SMD) in evaluating gig worker engagement and productivity on crowdsourcing platforms. The authors also propose to understand how gig worker productivity could be improved under the moderating effect of game elements.

Design/methodology/approach

A conceptual model was developed and empirically tested by integrating media richness theory and dialogic public relation theory. Data were collected from gig workers that are involved in crowdsourcing activities for the past three years. An overall sample of 346 gig workers contributing to at least one of the crowdsourcing platforms was collected. The authors tested the hypotheses using Warp PLS 7.0. Warp PLS 7.0 uses partial least square (PLS) structured equation modeling (SEM) and has been used widely to test path analytical models.

Findings

Results reveal that the information quality plays an essential role in the SMD, thereby fostering gig workers' productivity and engagement, which could be improved in the presence of game elements due to their nature of supporting rewards. However, engagement in the platform leading to improved productivity was not supported.

Practical implications

The study lays practical foundations for crowdsourcing platforms as it sets the importance of both IQ and dialogic communication channels. The two-way communication between gig workers and the platforms via accurate, timely, valuable and reliable information forms the key to the task's success. The introduction of the right game element will help to achieve better engagement and productivity.

Originality/value

This study also offers a new dimension to media richness theory and dialogic public relation theory in crowdsourcing platforms. The results would help platform designers and gig employers understand gig workers' quality and performance in a platform economy. The study uniquely positions itself in the area of crowdsourcing platforms by using game elements.

Details

The TQM Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1754-2731

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Article
Publication date: 29 January 2020

Shivinder Nijjer and Sahil Raj

The high rate of internet penetration has led to the proliferation of social media (SM) use, even at the workplace, including academia. This research attempts to develop a…

Abstract

Purpose

The high rate of internet penetration has led to the proliferation of social media (SM) use, even at the workplace, including academia. This research attempts to develop a topology and thereby determine the dominant use motive for faculty’s use of SM.

Design/methodology/approach

In this two-part study, a two-stage research design has been adopted for topology development based on the application of Uses and Gratifications Theory. In the second part, the Technology Acceptance Model is applied to discern the dominant motive for SM use in academia.

Findings

The work is able to develop a seven-item topology, conforming to the basic three use motives, namely, hedonic, utilitarian and social. The work shows faculty attach more value to the instrumental utility of SM, while the hedonic function is also significant.

Practical implications

Discerning dominant motive implies that SM use at the workplace should not be banned, rather effective regulated use will instil the faculty to enhance work outcomes. The conceptualisation of topology for SM use in academia at the workplace can aid in designing an effective organisation policy, and design of an internal SM platform.

Originality/value

The study is unique towards topology development for academic faculty and has many important implications for management and academia, especially towards policy design for SM use at the workplace.

Details

Journal of Information, Communication and Ethics in Society, vol. 18 no. 2
Type: Research Article
ISSN: 1477-996X

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Book part
Publication date: 30 September 2020

Shivinder Nijjer, Kumar Saurabh and Sahil Raj

The healthcare sector in India is witnessing phenomenal growth, such that by the year 2022, it will be a market worth trillions of INR. Increase in income levels…

Abstract

The healthcare sector in India is witnessing phenomenal growth, such that by the year 2022, it will be a market worth trillions of INR. Increase in income levels, awareness regarding personal health, the occurrence of lifestyle diseases, better insurance policies, low-cost healthcare services, and the emergence of newer technologies like telemedicine are driving this sector to new heights. Abundant quantities of healthcare data are being accumulated each day, which is difficult to analyze using traditional statistical and analytical tools, calling for the application of Big Data Analytics in the healthcare sector. Through provision of evidence-based decision-making and actions across healthcare networks, Big Data Analytics equips the sector with the ability to analyze a wide variety of data. Big Data Analytics includes both predictive and descriptive analytics. At present, about half of the healthcare organizations have adopted an analytical approach to decision-making, while a quarter of these firms are experienced in its application. This implies the lack of understanding prevalent in healthcare sector toward the value and the managerial, economic, and strategic impact of Big Data Analytics. In this context, this chapter on “Predictive Analytics in Healthcare” discusses sources, areas of application, possible future areas, advantages and limitations of the application of predictive Big Data Analytics in healthcare.

Details

Big Data Analytics and Intelligence: A Perspective for Health Care
Type: Book
ISBN: 978-1-83909-099-8

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Book part
Publication date: 30 September 2020

Abstract

Details

Big Data Analytics and Intelligence: A Perspective for Health Care
Type: Book
ISBN: 978-1-83909-099-8

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Article
Publication date: 3 March 2020

Tomayess Issa, Pedro Isaias and Piet Kommers

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Abstract

Details

Journal of Information, Communication and Ethics in Society, vol. 18 no. 2
Type: Research Article
ISSN: 1477-996X

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Book part
Publication date: 30 October 2018

FR. Oswald A. J. Mascarenhas, S.J.

The typical corporation is based on free capital markets, and in general, on the free market capital system for all its factors of production, distribution, and…

Abstract

Executive Summary

The typical corporation is based on free capital markets, and in general, on the free market capital system for all its factors of production, distribution, and consumption. Hence, this chapter studies the economic, legal, ethical, and moral goodness and promise of the Free Enterprise Capitalist System (FECS) as it exists and thrives in the open and free economies of the world. We will review several versions of FECS starting from Thomas Aquinas (1225–1274) views on private property, Thomas Hobbes’ (1588–1679), The Leviathan (1651), Adam Smith (Wealth of Nations, 1776), Max Weber (The Protestant Ethic and the Spirit of Capitalism, 1904/1958) to modern defenses of capitalism by David Bollier (Aiming Higher, 1997), Raghuram Rajan and Luigi Zingales (Saving Capitalism from Capitalists, 1998, 2004), C. K. Prahalad (2005) on Inclusive Capitalism, Nitesh Gor (The Dharma of Capitalism, 2012), and John Mackey and Raj Sisodia (Conscious Capitalism, 2014), to name a few. Based on these seminal authors and subsequent theoretical developments, this chapter seeks to defend, save, and uphold the goodness of the FECS along multiple viewpoints such as economics, management, law, ethics, morals, and executive spirituality.

Details

Corporate Ethics for Turbulent Markets
Type: Book
ISBN: 978-1-78756-187-8

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