an article by Lingling Yu, Zhiying Liu and Junkai Wang (University of Science and Technology of China, Hefei, China) and Xiongfei Cao (Hefei University of Technology, China) published in Information Technology & People Volume 31 Issue 6 (2018)
Abstract
Purpose
The purpose of this paper is to explore the effects of excessive social media use on individual job performance and its exact mechanism. An extended stressor–strain–outcome research model is proposed to explain how excessive social media use at work influences individual job performance.
Design/methodology/approach
The research model was empirically tested with an online survey study of 230 working professionals who use social media in organizations.
Findings
The results revealed that excessive social media use was a determinant of three types of social media overload (i.e. information, communication and social overload). Information and communication overload were significant stressors that influence social media exhaustion, while social overload was not a significant predictor of exhaustion. Furthermore, social media exhaustion significantly reduces individual job performance.
Originality/value
Theory-driven investigation of the effects of excessive social media use on individual job performance is still relatively scarce, underscoring the need for theoretically-based research of excessive social media use at work. This paper enriches social media research by presenting an extended stressor–strain–outcome model to explore the exact mechanism of excessive use of social media at work, and identifying three components of social media-related overload, including information, communication and social overload. It is an initial attempt to systematically validate the casual relationships among excessive usage experience, overload, exhaustion and individual job performance based on the transactional theory of stress and coping.
Showing posts with label information_overload. Show all posts
Showing posts with label information_overload. Show all posts
Thursday, 17 January 2019
Friday, 26 October 2018
Excessive social media use at work: Exploring the effects of social media overload on job performance
an article by Lingling Yu, Zhiying Liu and Junkai Wang (University of Science and Technology of China, Hefei, China) and Xiongfei Cao (Hefei University of Technology, Hefei, China) Information Technology & People Volume 31 Issue 6 (2018)
Abstract
Purpose
The purpose of this paper is to explore the effects of excessive social media use on individual job performance and its exact mechanism. An extended stressor–strain–outcome research model is proposed to explain how excessive social media use at work influences individual job performance.
Design/methodology/approach
The research model was empirically tested with an online survey study of 230 working professionals who use social media in organizations.
Findings
The results revealed that excessive social media use was a determinant of three types of social media overload (i.e. information, communication and social overload). Information and communication overload were significant stressors that influence social media exhaustion, while social overload was not a significant predictor of exhaustion. Furthermore, social media exhaustion significantly reduces individual job performance.
Originality/value
Theory-driven investigation of the effects of excessive social media use on individual job performance is still relatively scarce, underscoring the need for theoretically-based research of excessive social media use at work. This paper enriches social media research by presenting an extended stressor–strain–outcome model to explore the exact mechanism of excessive use of social media at work, and identifying three components of social media-related overload, including information, communication and social overload. It is an initial attempt to systematically validate the casual relationships among excessive usage experience, overload, exhaustion and individual job performance based on the transactional theory of stress and coping.
Abstract
Purpose
The purpose of this paper is to explore the effects of excessive social media use on individual job performance and its exact mechanism. An extended stressor–strain–outcome research model is proposed to explain how excessive social media use at work influences individual job performance.
Design/methodology/approach
The research model was empirically tested with an online survey study of 230 working professionals who use social media in organizations.
Findings
The results revealed that excessive social media use was a determinant of three types of social media overload (i.e. information, communication and social overload). Information and communication overload were significant stressors that influence social media exhaustion, while social overload was not a significant predictor of exhaustion. Furthermore, social media exhaustion significantly reduces individual job performance.
Originality/value
Theory-driven investigation of the effects of excessive social media use on individual job performance is still relatively scarce, underscoring the need for theoretically-based research of excessive social media use at work. This paper enriches social media research by presenting an extended stressor–strain–outcome model to explore the exact mechanism of excessive use of social media at work, and identifying three components of social media-related overload, including information, communication and social overload. It is an initial attempt to systematically validate the casual relationships among excessive usage experience, overload, exhaustion and individual job performance based on the transactional theory of stress and coping.
Tuesday, 4 March 2014
The stress potential of social media in the workplace
an article by Eliane Bucher, Christian Fieseler and Anne Suphan (University of St. Gallen, Institute for Media and Communications Managment, Switzerland) published Information, Communication & Society Volume 16 Issue 10 (2013)
Abstract
Social media have enriched the communication profession with new and immediate ways of stakeholder interaction. Along with new possibilities also come challenges – as professionals are engaging in real-time conversations with their audiences on Facebook, Twitter, blogs and the like, they have to learn to mentally cope with an oversupply of possibly relevant information, with an invasion of work matters into the private domain and with changing work contents and structures.
This paper proposes a measurement routed in the technostress and overload research to assess these challenges brought to communication workforces by social media. These data were collected in a quantitative survey among 2,579 marketing and communication professionals. Based on an exploratory factor analysis, we demonstrate that being literate in an age of social media encompasses not only knowing how to retrieve and process information appropriately in various social settings, but also – and maybe more importantly – to mentally cope with overload, invasion and uncertainty.
Abstract
Social media have enriched the communication profession with new and immediate ways of stakeholder interaction. Along with new possibilities also come challenges – as professionals are engaging in real-time conversations with their audiences on Facebook, Twitter, blogs and the like, they have to learn to mentally cope with an oversupply of possibly relevant information, with an invasion of work matters into the private domain and with changing work contents and structures.
This paper proposes a measurement routed in the technostress and overload research to assess these challenges brought to communication workforces by social media. These data were collected in a quantitative survey among 2,579 marketing and communication professionals. Based on an exploratory factor analysis, we demonstrate that being literate in an age of social media encompasses not only knowing how to retrieve and process information appropriately in various social settings, but also – and maybe more importantly – to mentally cope with overload, invasion and uncertainty.
Tuesday, 12 February 2013
Knowledge acquisition: Past, present and future
an article by Brian R. Gaines (University of Calgary and University of Victoria, Canada)
published in International Journal of Human-Computer Studies
Volume 71 Issue 2 (February 2013)
Abstract
As we celebrate the 50th knowledge acquisition conference this year it is appropriate to review progress in knowledge acquisition techniques not only over the quarter century since the conference series began but backwards through the millennia to the beginnings of knowledge capture and forwards through the foreseeable future to speculate on reasonable expectations, appropriate targets and potential surprises in the next quarter century.
Figures and tables from this article
Worth looking at just for the images!! Stunning stuff.
Abstract
As we celebrate the 50th knowledge acquisition conference this year it is appropriate to review progress in knowledge acquisition techniques not only over the quarter century since the conference series began but backwards through the millennia to the beginnings of knowledge capture and forwards through the foreseeable future to speculate on reasonable expectations, appropriate targets and potential surprises in the next quarter century.
Time present and time past are both perhaps present in time future, and time future contained in time past. What might have been is an abstraction remaining a perpetual possibility only in world of speculation.
T.S. Eliot, Four Quartets
Figures and tables from this article
Worth looking at just for the images!! Stunning stuff.
Monday, 28 January 2013
More Is Not Always Better: Intuitions About Effective Public Policy Can Lead to Unintended Consequences
an article by Ellen Peters and Louise Meilleur (The Ohio State University), William Klein and Annette Kaufman (National Cancer Institute) and Anna Dixon (The King’s Fund, London) published in Social Issues and Policy Review
Volume 7 Issue 1 (January 2013)
Abstract
Public policy decisions often appear based on an assumption that providing more options, more information, and greater decision-making autonomy to consumers will produce better outcomes.
We examine reasons why this “more-is-better” approach exists based on the psychological literature. Although better outcomes can result from informed consumer choice, we argue that more options, information, and autonomy can also lead to unintended negative consequences.
We use mostly health-related policies and guidelines from the United States and elsewhere as exemplars.
We consider various psychological mechanisms that cause these unintended consequences including cognitive overload, affect, and anticipated regret, information salience and availability, and trust in governments as authoritative information providers.
We also point toward potential solutions based on psychological research that may reduce the negative unintended consequences of a “more-is-better” approach.
Abstract
Public policy decisions often appear based on an assumption that providing more options, more information, and greater decision-making autonomy to consumers will produce better outcomes.
We examine reasons why this “more-is-better” approach exists based on the psychological literature. Although better outcomes can result from informed consumer choice, we argue that more options, information, and autonomy can also lead to unintended negative consequences.
We use mostly health-related policies and guidelines from the United States and elsewhere as exemplars.
We consider various psychological mechanisms that cause these unintended consequences including cognitive overload, affect, and anticipated regret, information salience and availability, and trust in governments as authoritative information providers.
We also point toward potential solutions based on psychological research that may reduce the negative unintended consequences of a “more-is-better” approach.
Wednesday, 13 July 2011
Information overload may give students even more cause for complaint
by Simon Baker for Times Higher Education
The government’s higher education White Paper puts forward a series of recommendations for information that ministers want universities to provide to students on top of the Key Information Sets that are already set for launch next year.
They include an “expectation” that institutions publish the results of internal evaluation surveys for courses; a call for data on the qualifications held by successful applicants to be revealed; and suggestions that prospective students should also be informed of likely class sizes and given details about the expertise of teaching staff.
David Palfreyman, director of the Oxford Centre for Higher Education Policy Studies, said the release of much more information would provide more “pegs” to hang grievances on, but could also make disputes more legalistic.
and so on and so forth!!
The government’s higher education White Paper puts forward a series of recommendations for information that ministers want universities to provide to students on top of the Key Information Sets that are already set for launch next year.
They include an “expectation” that institutions publish the results of internal evaluation surveys for courses; a call for data on the qualifications held by successful applicants to be revealed; and suggestions that prospective students should also be informed of likely class sizes and given details about the expertise of teaching staff.
David Palfreyman, director of the Oxford Centre for Higher Education Policy Studies, said the release of much more information would provide more “pegs” to hang grievances on, but could also make disputes more legalistic.
and so on and so forth!!
Friday, 4 March 2011
The Information Age Measurement Paradox: …
Collecting Too Much Data
an article by Nitza Geri (The Open University of Israel Raanana) and Yaris Geri (Commercial Aircraft Group IAI Ben Gurion International Airport) published in Informing Science: the International Journal of an Emerging Transdiscipline Volume 14 (2011)
Abstract
Information overload is one of the major challenges of management in the information age. Usually, the emphasis in the literature is on incoming information, whereas the creation of information or data is rarely discussed. This paper presents the measurement paradox and demonstrates how managerial decisions, or monitoring conventions, cause collection of tremendous amounts of unnecessary data. The measurement paradox is observed when advanced technologies, such as Enterprise Resource Planning (ERP) systems, which are intended to improve control and provide managers with better information, collect ample data, most of which are unnecessary.
The paper illustrates the measurement paradox by developing a model for estimating the amount of data required for a cost accounting system. It analyses the amount of data necessary for traditional cost accounting systems, which are usually based on one cost driver, mostly direct labour hours, versus the amount of data used by activity-based costing (ABC) systems, which use multiple cost drivers. It shows that the amount of data depends mainly on the number of measurements, and in order to improve managerial accounting systems and eliminate non-value adding activities, one should reduce the number of measurements.
Abstract
Information overload is one of the major challenges of management in the information age. Usually, the emphasis in the literature is on incoming information, whereas the creation of information or data is rarely discussed. This paper presents the measurement paradox and demonstrates how managerial decisions, or monitoring conventions, cause collection of tremendous amounts of unnecessary data. The measurement paradox is observed when advanced technologies, such as Enterprise Resource Planning (ERP) systems, which are intended to improve control and provide managers with better information, collect ample data, most of which are unnecessary.
The paper illustrates the measurement paradox by developing a model for estimating the amount of data required for a cost accounting system. It analyses the amount of data necessary for traditional cost accounting systems, which are usually based on one cost driver, mostly direct labour hours, versus the amount of data used by activity-based costing (ABC) systems, which use multiple cost drivers. It shows that the amount of data depends mainly on the number of measurements, and in order to improve managerial accounting systems and eliminate non-value adding activities, one should reduce the number of measurements.
Hazel’s comment:
I always knew that much information overload was self-inflicted – this article sets out in detail. You can read it in full here.
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