an article by Premilla D’Cruz and Ernesto Noronha (Indian Institute of Management Ahmedabad, Ahmedabad, India) published in Employee Relations Volume 40 Issue 1 (2018)
Abstract
Purpose
The purpose of this paper is to report a study of bullying on online labour markets (OLMs), highlighting how abuse unfolds in digital workplaces and depicting the trajectory of target resilience.
Design/methodology/approach
Adopting van Manen’s hermeneutic phenomenology, targets’ lived experiences of bullying on OLMs was explored. Data gathered from Indian freelancers located on Upwork via conversational telephonic interviews were subjected to sententious and selective thematic analyses.
Findings
The core theme of “pursuing long-term and holistic well-being” showed how targets tapped into yet augmented their resilience while navigating the features of OLMs as they coped with their experiences of bullying. The interface between targets’ internal and external resources, including platform support, vis-à-vis the concreteness and permanence of the site as targets asserted agency, sought control and realized positive outcomes while preserving their reputation, relationality, success and continuity was captured. It may be noted that bullying in digital workplaces is exclusively virtual in form.
Research limitations/implications
Alongside theoretical generalizability, statistical generalizability of the findings should be established.
Practical implications
Recommendations for action for platforms and targets are forwarded. In particular, the critical role of formal workplace support in influencing employee resilience is emphasized.
Originality/value
The paper makes several pioneering contributions. First, it reports the first empirical inquiry examining bullying in digital workplaces. Moreover, OLM research on abuse and harassment has not been undertaken so far. Second, it furthers theorization of resilience, especially with regard to workplace antecedents. Apart from identifying the new organizational antecedent of formal workplace support, it uncovers the complexities of resilience. Third, it extends knowledge on workplace cyberbullying, positive outcomes of workplace bullying and OLMs in India.
Showing posts with label crowdsourcing. Show all posts
Showing posts with label crowdsourcing. Show all posts
Sunday, 4 March 2018
Friday, 3 February 2017
A social media and crowdsourcing data mining system for crime prevention during and post-crisis situations
an article by Konstantinos Domdouzis, Babak Akhgar,Simon Andrews, Helen Gibson and Laurence Hirsch (Sheffield Hallam University, UK) published in Journal of Systems and Information Technology Volume 18 Issue 4 (2016)
Abstract
Purpose
A number of crisis situations, such as natural disasters, have affected the planet over the past decade. The outcomes of such disasters are catastrophic for the infrastructures of modern societies. Furthermore, after large disasters, societies come face-to-face with important issues, such as the loss of human lives, people who are missing and the increment of the criminality rate. In many occasions, they seem unprepared to face such issues. This paper aims to present an automated social media and crowdsourcing data mining system for the synchronization of the police and law enforcement agencies for the prevention of criminal activities during and post a large crisis situation.
Design/methodology/approach
The paper realized qualitative research in the form of a review of the literature. This review focuses on the necessity of using social media and crowdsourcing data mining techniques in combination with advanced Web technologies for the purpose of providing solutions to problems related to criminal activities caused during and after a crisis. The paper presents the ATHENA crisis management system, which uses a number of data mining techniques to collect and analyze crisis-related data from social media for the purpose of crime prevention.
Findings
Conclusions are drawn on the significance of social media and crowdsourcing data mining techniques for the resolution of problems related to large crisis situations with emphasis to the ATHENA system.
Originality/value
The paper shows how the integrated use of social media and data mining algorithms can contribute in the resolution of problems that are developed during and after a large crisis.
Abstract
Purpose
A number of crisis situations, such as natural disasters, have affected the planet over the past decade. The outcomes of such disasters are catastrophic for the infrastructures of modern societies. Furthermore, after large disasters, societies come face-to-face with important issues, such as the loss of human lives, people who are missing and the increment of the criminality rate. In many occasions, they seem unprepared to face such issues. This paper aims to present an automated social media and crowdsourcing data mining system for the synchronization of the police and law enforcement agencies for the prevention of criminal activities during and post a large crisis situation.
Design/methodology/approach
The paper realized qualitative research in the form of a review of the literature. This review focuses on the necessity of using social media and crowdsourcing data mining techniques in combination with advanced Web technologies for the purpose of providing solutions to problems related to criminal activities caused during and after a crisis. The paper presents the ATHENA crisis management system, which uses a number of data mining techniques to collect and analyze crisis-related data from social media for the purpose of crime prevention.
Findings
Conclusions are drawn on the significance of social media and crowdsourcing data mining techniques for the resolution of problems related to large crisis situations with emphasis to the ATHENA system.
Originality/value
The paper shows how the integrated use of social media and data mining algorithms can contribute in the resolution of problems that are developed during and after a large crisis.
Wednesday, 16 May 2012
Towards an integrated crowdsourcing definition
an article by Enrique Estellés-Arolas and Fernando González-Ladrón-de-Guevara (Technical University of Valencia, Spain) published in Journal of Information Science Volume 38 Number 2 (April 2012)
Abstract
“Crowdsourcing” is a relatively recent concept that encompasses many practices. This diversity leads to the blurring of the limits of crowdsourcing that may be identified virtually with any type of internet-based collaborative activity, such as co-creation or user innovation.
Varying definitions of crowdsourcing exist, and therefore some authors present certain specific examples of crowdsourcing as paradigmatic, while others present the same examples as the opposite.
In this article, existing definitions of crowdsourcing are analysed to extract common elements and to establish the basic characteristics of any crowdsourcing initiative. Based on these existing definitions, an exhaustive and consistent definition for crowdsourcing is presented and contrasted in 11 cases.
Abstract
“Crowdsourcing” is a relatively recent concept that encompasses many practices. This diversity leads to the blurring of the limits of crowdsourcing that may be identified virtually with any type of internet-based collaborative activity, such as co-creation or user innovation.
Varying definitions of crowdsourcing exist, and therefore some authors present certain specific examples of crowdsourcing as paradigmatic, while others present the same examples as the opposite.
In this article, existing definitions of crowdsourcing are analysed to extract common elements and to establish the basic characteristics of any crowdsourcing initiative. Based on these existing definitions, an exhaustive and consistent definition for crowdsourcing is presented and contrasted in 11 cases.
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