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Article
Publication date: 30 May 2020

Jason Snyder and Mark D. Cistulli

With the increase of social media usage in the workplace as a background, this paper specifically addresses social media efficacy's and social media privacy's impact on supervisor…

2483

Abstract

Purpose

With the increase of social media usage in the workplace as a background, this paper specifically addresses social media efficacy's and social media privacy's impact on supervisor and subordinate trust, affective organizational commitment (AOC) and organizational citizenship behavior (OCB) through the theoretical lens of communication privacy management (CPM) theory.

Design/methodology/approach

An online survey of 337 full- and part-time workers was conducted.

Findings

Path models showed that social media efficacy positively influenced social media privacy which in turn impacted both supervisor trust and subordinate trust. Supervisor trust was positively related to AOC, while subordinate trust positively influenced OCB. t-tests revealed differences between workers who have social media relationships with supervisors and/or subordinates and those workers without such relationships.

Practical implications

If workers believe they are adept at using social media, they will also be less concerned about the company's ability to infringe upon privacy through unwanted access to social media content. If social media efficacy drives perceptions of social media privacy and indirectly influences trust and organizational outcomes then it may be worthwhile for organizations to help enhance workers' feelings of social media efficacy through professional development programs.

Originality/value

This study is the first to extend research on workplace communication privacy into the realm of social media. Social media relationships also influence the work environment. These findings can be used as information in future research as well as policy development and professional development programs.

Details

Corporate Communications: An International Journal, vol. 25 no. 3
Type: Research Article
ISSN: 1356-3289

Keywords

Available. Open Access. Open Access
Article
Publication date: 6 March 2023

Melanie Wiese and Liezl-Marié Van Der Westhuizen

This study aims to explore public coping strategies with government-imposed lockdown restrictions (i.e. forced compliance) due to a health crisis (i.e. COVID-19). This directly…

1651

Abstract

Purpose

This study aims to explore public coping strategies with government-imposed lockdown restrictions (i.e. forced compliance) due to a health crisis (i.e. COVID-19). This directly impacts the public's power, as they may feel alienated from their environment and from others. Consequently, this study explores the relationships between the public's power, quality of life and crisis-coping strategies. This is important to help governments understand public discourse surrounding perceived government health crisis communication, which aids effective policy development.

Design/methodology/approach

An online questionnaire distributed via Qualtrics received 371 responses from the South African public and structural equation modelling was used to test the hypotheses.

Findings

The results indicate the public's experience of powerlessness and resulting information-sharing, negative word-of-mouth and support-seeking as crisis coping strategies in response to government-imposed lockdown restrictions.

Originality/value

The public's perspective on health crisis communication used in this study sheds light on adaptive and maladaptive coping strategies that the public employs due to the alienation they feel during a health crisis with government-forced compliance. The findings add to the sparse research on crisis communication from the public perspective in a developing country context and provide insights for governments in developing health crisis communication strategies. The results give insight into developing policies related to community engagement and citizen participation during a pandemic.

Details

Corporate Communications: An International Journal, vol. 28 no. 7
Type: Research Article
ISSN: 1356-3289

Keywords

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Article
Publication date: 17 November 2021

Lori Baker-Eveleth, Robert Stone and Daniel Eveleth

This study aims to identify the roles that privacy experiences and social media use play in influencing privacy-protection behaviors. As social media use expands in terms of the…

1692

Abstract

Purpose

This study aims to identify the roles that privacy experiences and social media use play in influencing privacy-protection behaviors. As social media use expands in terms of the number of users and functionality; it is important to understand social media user privacy-protection behaviors and the users’ psychological underpinnings driving those behaviors. Among these, perceptions are the users’ evaluation of their privacy concerns and data sharing benefits inherent in social media use which influence the users’ behaviors to protect their privacy.

Design/methodology/approach

To research these issues, a theoretical model and hypotheses were developed, based on self-efficacy theory. The theoretical model was empirically tested using 193 questionnaire responses collected from students enrolled in business courses at a medium-sized university in the western USA. All the respondents reported that they routinely use social media. The empirical analysis was performed using structural equations modeling in PC SAS version 9.4, procedure Calis.

Findings

The estimation of the paths in the structural model indicates that privacy concerns positively influence social media users’ protection behaviors while the perceived benefits of data sharing negatively influence protection behaviors. Privacy experience positively influences privacy concerns. Alternatively, social media use positively influences social media self-efficacy and perceived usefulness, which, in turn, have meaningful influences on data sharing benefits.

Originality/value

Previous findings about the effect of self-efficacy on protection behaviors has been inconclusive. This study adds some clarity. Specifically, the findings suggest that the effect depends upon the foci of self-efficacy. While higher self-efficacy with respect to using privacy-related features of a specific technology tends to lead to greater privacy concerns, higher self-efficacy with respect to the more general technology (e.g. social media, computer) seems to affect protection behaviors through perceived benefits. Further, the results of this study offer conclusions about the roles that privacy experiences, social media use and perceived social media benefits play in affecting protection behaviors.

Available. Open Access. Open Access
Article
Publication date: 28 June 2022

Martin Ahlenius, Björn Berggren, Tommy Gerdemark, Jonas Kågström and Lars-Johan Åge

The purpose of this article is to describe and analyze the occupational life cycle of Swedish real estate brokers.

2153

Abstract

Purpose

The purpose of this article is to describe and analyze the occupational life cycle of Swedish real estate brokers.

Design/methodology/approach

Voluntary turnover among real estate brokers could lead to occupational turnover and/or employee turnover and has been described as problematic by both practitioners and researchers alike. Most previous studies focusing on this issue have explored connections between real estate brokers' personality, economic and market conditions and turnover. Employee turnover involves shifting jobs within the profession (real estate brokerage), whereas occupational turnover concerns movement to a job not related to the real estate brokerage profession. Both perspectives on turnover are however lacking data about the average time spent as a broker. This study fills this gap by exploring real estate brokers' life cycle through data analysis using a cohort study consisting of a sample of 5,304 real estate brokers registered and/or deregistered over a ten-year period from 2010 to 2019.

Findings

The analysis show that the decline is almost linear, resulting in 50% of the newly registered real estate brokers remain in the occupation eight years after registration. These findings are not in line with previous assumptions as the real estate brokers' life cycle is substantially longer. The results also reveal that there are differences in life cycles due to gender and year of registration.

Originality/value

The analysis of longitudinal, aggregated data on the life cycle of real estate brokers is highly relevant as it serves as a point of reference for future longitudinal studies analyzing the motives for leaving the occupation.

Details

Journal of European Real Estate Research, vol. 15 no. 3
Type: Research Article
ISSN: 1753-9269

Keywords

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Article
Publication date: 28 July 2020

Jagadeesan Dhanapal, Badrinath Narayanamurthy, Vijayakumar Shanmugam, Asha Gangadharan and Magesh S.

The purpose of this paper is to provide a model for prediction of respiratory symptoms in the progression of COVID-19, social distancing, frequent hand washes, wearing of face…

850

Abstract

Purpose

The purpose of this paper is to provide a model for prediction of respiratory symptoms in the progression of COVID-19, social distancing, frequent hand washes, wearing of face mask in public are some of the potential measures of preventing the disease from further spreading. In spite of the effects and efforts taken by governments, the pandemic is still uncontrolled in major cities of the world. The proposed technique in this paper introduces a non-intrusive and major screening of vital symptoms and changes in the respiratory organs.

Design/methodology/approach

The novel coronavirus or Covid-19 has become a serious threat to social and economic growth of many nations worldwide. The pace of progression was significantly higher in the past two months. Identified by severe respiratory illness, fever and coughs, the disease has been threatening the lives of human society. Early detection and prognosis is absolutely necessary to isolate the potential spreaders of the disease and to control the rate of progression.

Findings

Recent studies have highlighted the changes observed in breathing characteristics of infected patients. Respiratory pattern of Covid-19 patients can be differentiated from the respiratory pattern of normal cold/flu affected patients. Tachypnoea is one among the vital signs identified to be distinguishing feature of Covid-19. The proposed respiratory data capture will commence with facial recognition, use of infrared sensors and machine-learning approaches to classify the respiratory patterns, which finally narrows down as a symptom of Covid-19.

Originality/value

Proposed system produced outcome of 94% accuracy, precision, recall and a F1-measure as an average in the conducted experiments. This method also proves to be a fruitful solution for large-scale monitoring and categorisation of people based on the symptoms.

Details

International Journal of Pervasive Computing and Communications, vol. 16 no. 4
Type: Research Article
ISSN: 1742-7371

Keywords

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