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Challenge, Hindrance, And Threat Stressors: A Within- And Between-Persons Examination Of General And Specific Stressor Appraisal Tendencies And A Priori Categorizations, Lisa Brady, Christopher J. L. Cunningham
Challenge, Hindrance, And Threat Stressors: A Within- And Between-Persons Examination Of General And Specific Stressor Appraisal Tendencies And A Priori Categorizations, Lisa Brady, Christopher J. L. Cunningham
Industrial and Organizational Psychology Translational Research and Working Papers
Within the occupational stress literature, researchers have often identified stressors as being inherently challenging or hindering, based on previous classifications or on the outcomes usually associated with each. Although the challenge-hindrance model is based on the transactional theory of stress (Lazarus & Folkman, 1984), which emphasizes the importance of an individual’s cognitive appraisal of stimuli, much of the research on this framework has failed to measure an individual’s direct appraisal of stimuli in the environment as challenging, hindering, and threatening, which can be problematic when attempting to understand and predict occupational stress. In the present study we identify and share …
Do You Speak Hadoop? An Analytics Tutorial Of The Latest Tech In Big Data, And How You Can Utilize Them In Hr., Maira Compagnone, Jessica Harris, Philip Hinson, Yalcin Acikgoz
Do You Speak Hadoop? An Analytics Tutorial Of The Latest Tech In Big Data, And How You Can Utilize Them In Hr., Maira Compagnone, Jessica Harris, Philip Hinson, Yalcin Acikgoz
River Cities Industrial and Organizational Psychology Conference
Organizations are increasingly using big data and analytics in decision-making, and HR is no exception to this trend. Applications of big data analytics are becoming common in HR with advanced tools being developed for this purpose. However, despite having a good grasp of the basic research methodologies, I-O and HR professionals generally lack the knowledge and skills to use big data analytics in their practice. In addition, the latest guidelines for education and training in industrial-organizational psychology do not even mention the terms “big data” and “analytics”, showing that this concern also extends to graduate education, and the literature is …
Suffering From Whiplash? The Effects Of Pencil Whipping On Data Variability In The Safety Industry, Maira Compagnone, Royale Nicholson, Sam Biggs, Connor Linden, Tara O'Neil, Matthew Laske, Philip Hinson, Yalcin Acikgoz
Suffering From Whiplash? The Effects Of Pencil Whipping On Data Variability In The Safety Industry, Maira Compagnone, Royale Nicholson, Sam Biggs, Connor Linden, Tara O'Neil, Matthew Laske, Philip Hinson, Yalcin Acikgoz
River Cities Industrial and Organizational Psychology Conference
Big data is being used by organizations to identify trends and predict future safety incidents. However, analytics using big data relies heavily on data quality, which can be compromised by a lack of data variability. In the safety industry, the data reports most frequently analyzed include checklists that are filled out by managers and operators, and research is being attempted to link the variables from these reports to safety outcomes. A major obstacle is the reduced variability in these reports due to a phenomenon known as “pencil whipping.” Pencil whipping occurs when an employee completes a safety checklist during behavior-based …
Does A Quota A Day Keep The (Safety) Doctor Away? The Effect Of Mandatory Observation Quotas On Safety Outcomes, Maira Compagnone, Ava Young, Rachel Bellflowers, Tara O'Neil, Matthew Laske, Yalcin Acikgoz
Does A Quota A Day Keep The (Safety) Doctor Away? The Effect Of Mandatory Observation Quotas On Safety Outcomes, Maira Compagnone, Ava Young, Rachel Bellflowers, Tara O'Neil, Matthew Laske, Yalcin Acikgoz
River Cities Industrial and Organizational Psychology Conference
Injuries and fatalities continue to occur at high rates across industries (BLS, 2018) despite attempts from researchers and practitioners to identify risks and improve operating procedures. Data analysis is currently used across other industries to improve outcomes, and the safety industry is turning to the use of big data in an attempt to lower injury rates. Despite the growing body of research including both data and safety outcomes, little has been done to understand the mechanisms of one of the most popular intervention techniques, behavior-based safety (BBS). BBS relies on human observation techniques, along with checklists, which increases the amount …
An Indentured Servant: The Impact Of Green Card Waiting Time On The Life Of Highly Skilled Indian Immigrants In The United States Of America, Pooja B. Vijayakumar, Christopher J. L. Cunningham
An Indentured Servant: The Impact Of Green Card Waiting Time On The Life Of Highly Skilled Indian Immigrants In The United States Of America, Pooja B. Vijayakumar, Christopher J. L. Cunningham
Industrial and Organizational Psychology Translational Research and Working Papers
Highlighting the archaic immigration system in the United States of America (US), the present study demonstrates for the first time the impact of green card waiting time on the work and family life of Indian immigrants living in the US. Our present findings show that 93.4% of our participants are very concerned about the estimated green card waiting time in the US. We find 70% of the total participants are seriously thinking at the present time about emigrating to a more visa-friendly country. Also, 30% of the participants have already applied for permanent residency in a visa friendly country and …