BYOD Policies as a Negotiable Control Lever . . . or Not

Mapping Intimacies ◽

10.1093/oso/9780190625504.003.0007 ◽

2018 ◽

Author(s):

Keri K. Stephens

Keyword(s):

Human Resources ◽

Mobile Device ◽

Labor Law ◽

Consumer Products ◽

Work Hours ◽

Bring Your Own Device ◽

Ongoing Debate ◽

Global Challenges ◽

Device Use ◽

Control Lever

Enterprise consumerization describes how technologies purchased by “enterprises” (i.e., organizations or companies) became consumer products. Mobile devices fall into this category because, as they became more affordable, individuals purchased them and brought them to work. As this trend proliferated, organizations had to protect their proprietary data, but their employees were clamoring for access to Wi-Fi. Their response: create bring-your-own-device-to-work (BYOD) policies. This chapter discusses human resources and global challenges surrounding BYOD policies. There are labor-law concerns at play, as well as national declarations that restrict mobile-device use outside of work hours. Furthermore, there’s still ongoing debate concerning who should be “allowed” to participate in BYOD. Readers are invited to consider that these policies have introduced a form of free control: individuals have flexibility in choosing their devices, but that freedom is also how people voluntarily participate in being controlled by organizations.

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Understanding the role of the bring-your-own-device policy in medical education and healthcare delivery at the University of Botswana’s Faculty of Medicine

Information and Learning Sciences ◽

10.1108/ils-09-2021-0077 ◽

2022 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Khutsafalo Kadimo ◽

Athulang Mutshewa ◽

Masego B. Kebaetse

Keyword(s):

Medical Education ◽

Mobile Devices ◽

Mobile Device ◽

Healthcare Delivery ◽

Medical Schools ◽

Bring Your Own Device ◽

Content Type ◽

Healthcare Facilities ◽

Device Use ◽

The University

Purpose Seeking to leverage on benefits of personal mobile device use, medical schools and healthcare facilities are increasingly embracing the use of personal mobile devices for medical education and healthcare delivery through bring-your-own-device (BYOD) policies. However, empirical research findings that could guide the development of BYOD policies are scarce. Available research is dominated by studies that were guided by technocentric approaches, hence seemingly overlooking the complexities of the interactions of actors in mobile device technologies implementation. The purpose of this study was to use the actor–network theory to explore the potential role of a BYOD policy at the University of Botswana’s Faculty of Medicine. Design/methodology/approach Purposive sampling was used to select the participants and interviews, focus group discussions, observations and document analysis were used to collect data. Data were collected from 27 participants and analysed using grounded theory techniques. Emerging themes were continually compared and contrasted with incoming data to create broad themes and sub-themes and to establish relationships or patterns from the data. Findings The results suggest that the potential roles for BYOD policy include promoting appropriate mobile device use, promoting equitable access to mobile devices and content, and integrating mobile devices into medical education, healthcare delivery and other institutional processes. Research limitations/implications BYOD policy could be conceptualized and researched as a “script” that binds actors/actants into a “network” of constituents (with shared interests) such as medical schools and healthcare facilities, mobile devices, internet/WiFi, computers, software, computer systems, medical students, clinical teachers or doctors, nurses, information technology technicians, patients, curriculum, information sources or content, classrooms, computer labs and infections. Practical implications BYOD is a policy that seeks to represent the interests (presents as a solution to their problems) of the key stakeholders such as medical schools, healthcare facilities and mobile device users. BYOD is introduced in medical schools and healthcare facilities to promote equitable access to mobile devices and content, appropriate mobile device use and ensure distribution of liability between the mobile device users and the institution and address the implication of mobile device use in teaching and learning. Originality/value The BYOD policy is a comprehensive solution that transcends other institutional policies and regulations to fully integrate mobile devices in medical education and healthcare delivery.

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Patterns of Mobile Device Use by Caregivers and Children During Meals in Fast Food Restaurants

PEDIATRICS ◽

10.1542/peds.2013-3703d ◽

2014 ◽

Vol 133 (4) ◽

pp. X18-X18

Keyword(s):

Mobile Device ◽

Fast Food ◽

Fast Food Restaurants ◽

Device Use

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0013 Mobile Device Use in Bed and Relationships to Work Productivity: Impact of Anxiety

SLEEP ◽

10.1093/sleep/zsaa056.012 ◽

2020 ◽

Vol 43 (Supplement_1) ◽

pp. A5-A5

Author(s):

A Gozar ◽

A Seixas ◽

L Hale ◽

C Branas ◽

M Barrett ◽

...

Keyword(s):

Mobile Phone ◽

Mobile Device ◽

Productivity Loss ◽

Work Productivity ◽

Well Being ◽

Mobile Phone Use ◽

Mediating Role ◽

Mobile Phone Usage ◽

Device Use ◽

Healthy Activity

Abstract Introduction Mobile phone use at night is associated with worse sleep quality. It may also be associated with daytime productivity, possibly via anxiety. Methods Data were obtained from the Sleep and Healthy Activity, Diet, Environment, and Socialization (SHADES) study, including N=1007 adults age 22–60. Mobile device use in bed was assessed as the frequency that participants reported: a device in the bedroom, use of the device in bed, texting, emails, internet browsing, calls, and/or social networking in bed, being woken up by the device in a planned (alarm) or unplanned (alert/call/message) way, and checking the phone at night. Each of these were coded as “never,” “rarely,” or “often.” Work productivity was assessed with the Well-Being Assessment of Productivity (WBA-P; scores 0–22 measure productivity loss). Regressions with WBA-P score as outcome and mobile phone variables as predictors were adjusted for age, sex, race/ethnicity, education, and income level. Post-hoc analyses included GAD7 score to examine the mediating role of anxiety. Results The presence of a device was not associated with productivity loss, but frequent use (“often”) was (B=1.26,p=0.01). Increased productivity loss was also seen in those who frequently (“often”) sent texts (B=1.20,p=0.008), browsed internet (B=1.14,p=0.01), emailed (B=2.09,p<0.0005), called (B=1.42,p=0.004), and used social media (B=1.26,p=0.004). Productivity loss was associated with being woken by a call/alert “rarely” (B=1.20,p=0.001) or “often” (B=1.72,p=0.005), but not by alarm. Checking the phone at night “rarely” (B=0.89,p=0.01) and “often” (B=1.73,p<0.0005) were also associated with productivity loss. When anxiety was entered into the model, all relationships except those with frequent emails and calls in bed became nonsignificant. Conclusion Anxiety may be the underlying cause for both increased mobile phone usage and reduced productivity. Reducing anxiety levels may indirectly aid in decreasing nighttime mobile phone use and increasing daytime productivity. Support The SHADES study was funded by R21ES022931 Dr. Grandner is supported by R01MD011600

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Can we predict device use? An investigation into mobile device use in surveys

International Journal of Social Research Methodology ◽

10.1080/13645579.2019.1593340 ◽

2019 ◽

Vol 22 (5) ◽

pp. 517-531

Author(s):

Marieke Haan ◽

Peter Lugtig ◽

Vera Toepoel

Keyword(s):

Mobile Device ◽

Device Use

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Investigating Daily Mobile Device Use Among University Students in Indonesia

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/325/1/012004 ◽

2018 ◽

Vol 325 ◽

pp. 012004

Author(s):

Ahmad R Pratama

Keyword(s):

University Students ◽

Mobile Device ◽

Device Use

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The association of mobile device use of electronic health record with the wellbeing of nurses: cross-sectional survey study (Preprint)

10.2196/preprints.28729 ◽

2021 ◽

Author(s):

Tarja Heponiemi ◽

Anu Kaihlanen ◽

Kia Gluschkoff ◽

Kaija Saranto ◽

Sari Nissinen ◽

...

Keyword(s):

Health Care ◽

Mobile Devices ◽

Mobile Device ◽

Time Pressure ◽

Ease Of Use ◽

Survey Study ◽

Technical Quality ◽

Cross Sectional ◽

Low Levels ◽

Device Use

BACKGROUND Mobile devices such as tablets and smartphones are increasingly used in health care in many developed countries. Nurses form the largest group in health care that uses electronic health records (EHRs) and their mobile versions. Mobile devices are suggested to promote nurses’ workflow, constant updating of patient information and improve the communication within the health care team. However, little is known about their effect on nurses’ wellbeing. OBJECTIVE The present study aimed to examine the association of mobile device use of the EHR with nurses’ perceived time pressure, stress related to information systems (SRIS) and self-rated stress. Moreover, we examined whether mobile device use modifies the associations of EHR usability (ease of use and technical quality), experience in using EHRs and number of systems in daily use with these wellbeing indicators. METHODS The present study was a cross-sectional population-based survey study among 3,610 Finnish registered nurses gathered in 2020. The associations were examined using analyses of covariance and logistic regression adjusted for age, gender and employment sector (hospital, primary care, social service and other). RESULTS Those who used mobile version of their EHR had higher levels of time pressure ( F(1)= 14.96, p < .001) and SRIS ( F(1)= 6.11, p = .01) compared to those who did not use mobile versions. Moreover, the interactions of mobile device use with experience in using EHRs (F(1) = 14.93, p < .001), ease of use (F(1) = 10.16, p = .001) and technical quality (F(1) = 6.45, p = .01) were significant for SRIS. Inexperience in using EHRs, low levels of ease of use and technical quality were associated with higher SRIS and this association was more pronounced among those who used mobile devices. That is, the highest levels of SRIS were perceived among those who used mobile devices and were inexperienced EHR users, perceived low levels of ease of use or low levels of technical quality of their EHR. CONCLUSIONS According to our results it seems that at the moment mobile device use is not beneficial for the nurses’ wellbeing. In addition, mobile device use seems to intensify the negative effects of usability problems of the EHRs. Especially inexperienced users of EHRs seem be at disadvantage when using mobile devices. Thus, we suggest that EHRs and their mobile versions should be improved in a manner that they would be easier to use and would better support the nurses’ workflow. For example, improvements to problems related to small display, user interface and difficult data entry of mobile versions might be useful. Moreover, more training related to EHRs, their mobile versions and workflow related to these should be provided to nurses.

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Towards Future IT Service Personalization

Advances in Systems Analysis, Software Engineering, and High Performance Computing - Advanced Research on Cloud Computing Design and Applications ◽

10.4018/978-1-4666-8676-2.ch008 ◽

2015 ◽

pp. 102-117

Author(s):

Stuart Dillon ◽

Florian Stahl ◽

Gottfried Vossen

Keyword(s):

Social Networking ◽

Recent Work ◽

Mobile Device ◽

Cloud Services ◽

Professional Communication ◽

Bring Your Own Device ◽

It Service ◽

File Storage ◽

Business Perspective ◽

Fast Evolution

Cloud services are ubiquitous today and increasingly used for a variety of purposes, including personal and professional communication, social networking, media streaming, calendar management, file storage etc. In recent years, a fast evolution of cloud services from private applications to corporate usage has been observed. This has led to the question of how private and business cloud services can be dual-accessed through a single device, in particular a mobile device that is used as part of a BYOD (Bring Your Own Device) policy. This chapter considers the issues that arise from a consolidation of private and professional applications when accessed from a single device and introduces the term “personal cloud” to characterise such situations. It also surveys recent work in the field and finally presents an approach to cloud governance from a business perspective focusing in particular on security tokens, hardware keys and smart containers, thereby providing a glimpse into the future of IT service personalization.

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Mobile Devices and Investment News Apps: The Effects of Information Release, Push Notification, and the Fear of Missing Out

The Accounting Review ◽

10.2308/accr-52625 ◽

2019 ◽

Vol 95 (5) ◽

pp. 95-115 ◽

Cited By ~ 5

Author(s):

Shana M Clor-Proell ◽

Ryan D Guggenmos ◽

Kristina Rennekamp

Keyword(s):

Mobile Device ◽

Information Dissemination ◽

Data Availability ◽

Fear Of Missing Out ◽

Nonprofessional Investors ◽

Social Settings ◽

Device Applications ◽

The Media ◽

Device Use ◽

Jel Classifications

ABSTRACT We examine how information dissemination via mobile device applications (apps) affects nonprofessional investors' judgments. In response to the prevalence of mobile device use, the media ungroups content into smaller pieces to accommodate users, and apps use push notifications to highlight this content. These changes increase users' ability to access investment information in real time, leaving some investors feeling as if they are missing out if they are not continuously connected. We validate a scale to capture investors' fear of missing out on investment information (I-FoMO) and document that I-FoMO is distinct from traditional FoMO that occurs in social settings. Then, using an experiment, we find that receiving ungrouped content via a mobile device has a greater effect on investment allocations in the presence, rather than absence, of push notifications. Further, we find that these results hold for higher, but not for lower, I-FoMO investors. JEL Classifications: G23; M41; M48; M49. Data Availability: Contact the authors.

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