Matthew J Kerry
After double-majoring in Psychology and Economics at Emory University in 2008, I attended Georgia Tech for my PhD in Quantitative-Organizational Psychology until 2014. Thereafter, I continue my PostDoctoral Research Associate appointment at the Swiss Federal Institute of Technology (ETH, 2014-2017). I currently hold appointment as a Scientific Research Associate at the Zurich University of Applied Sciences’ (ZHAW’s) Institute of Health Sciences.
My research pertains to substantive methods with applications within the health sciences domain.
Substantive methods complements practical theory and includes novel use of design-measurement-analysis procedures.
Substantive methods also advances such procedures, for example, as optimal design theory, item response measurement theory (IRT), and counterfactual analytics.
I apply substantive methods broadly within the health sciences domain.
Rooted in my MS Thesis on interprofessional education (IPE), my topical research has developed to link patient safety with population wellbeing. Patient-centricity and quality-of-life (QoL) continue to figure prominently in my research.
Most recent, my research interests pertain to IRT-measurement advances in patient-reported outcomes (PROs).
Supervisors: Susan E. Embretson
Phone: +41 078 614 8001
My research pertains to substantive methods with applications within the health sciences domain.
Substantive methods complements practical theory and includes novel use of design-measurement-analysis procedures.
Substantive methods also advances such procedures, for example, as optimal design theory, item response measurement theory (IRT), and counterfactual analytics.
I apply substantive methods broadly within the health sciences domain.
Rooted in my MS Thesis on interprofessional education (IPE), my topical research has developed to link patient safety with population wellbeing. Patient-centricity and quality-of-life (QoL) continue to figure prominently in my research.
Most recent, my research interests pertain to IRT-measurement advances in patient-reported outcomes (PROs).
Supervisors: Susan E. Embretson
Phone: +41 078 614 8001
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Conference Presentations by Matthew J Kerry
smartphones and wearables devices that support the QoL / Patient Reported Outcomes (PROs) assessment by
operationalizing these via Technology-enabled Reported outcomes (Tech-ROs). We discuss examples of
currently researched or operational technologies leveraged for Tech-ROs towards monitoring of the patient’s
physical and psychological health, social interactions or environmental conditions. We identify the factors
influencing the success of these technologies (accuracy and reliability of the collected Tech-ROs data) be it
from a viewpoint of patients (e.g., usability, ‘wearability’), or of technology providers (e.g., raw signal), or
from legal (e.g., privacy), organizational (e.g., workflow), or ethical perspective (e.g., dignity). We summarize
the trans-disciplinary aspects of the Tech-RO-driven research and its challenges, and delineate the future
education and research areas for a successful deployment and adoption of mobile information technologies
assuring the patients’ accurate and reliable Tech-RO assessment.
Books by Matthew J Kerry
Papers by Matthew J Kerry
smartphones and wearables devices that support the QoL / Patient Reported Outcomes (PROs) assessment by
operationalizing these via Technology-enabled Reported outcomes (Tech-ROs). We discuss examples of
currently researched or operational technologies leveraged for Tech-ROs towards monitoring of the patient’s
physical and psychological health, social interactions or environmental conditions. We identify the factors
influencing the success of these technologies (accuracy and reliability of the collected Tech-ROs data) be it
from a viewpoint of patients (e.g., usability, ‘wearability’), or of technology providers (e.g., raw signal), or
from legal (e.g., privacy), organizational (e.g., workflow), or ethical perspective (e.g., dignity). We summarize
the trans-disciplinary aspects of the Tech-RO-driven research and its challenges, and delineate the future
education and research areas for a successful deployment and adoption of mobile information technologies
assuring the patients’ accurate and reliable Tech-RO assessment.
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Learning organizational ambidexterity: A joint-variance synthesis of exploration–exploitation modes on performance
June 2018The Learning Organization 6(5)
Project: Health-Services Research, Patient-Reported Outcomes, Quality-of-Life Assessment
Matthew KerryMatthew KerryJustin A. DeSimone
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Organizational ambidexterity (OA) figures prominently in a variety of organization science phenomena. Introduced as a two-stage model for innovation, theory specifies reciprocal reinforcement between the OA processes of exploration and exploitation. In this study, we argue that previous analyses of OA necessarily neglect this reciprocality in favor of conceptualizations that conform to common statistical techniques. Because reciprocality is theorized, yet absent in current models, existing results represent confounded or biased evidence of the OA’s effect on firm performance. Subsequently, we propose joint-variance (JV) as a soluble estimator of exploration-exploitation reciprocality. An updated systematic literature synthesis yielded K=53 studies (56 independent samples, N = 11,743) for further testing. After observing a significantly stronger relationship between exploration and exploitation than either’s standalone relationship with performance, three primary findings are reported in support of JV’s index of reciprocality. First, JV reduced negative confounding from past operational inconsistencies of exploration-exploitation, explaining 45% of between-study variance. Second, JV quantified the positive confounding in current meta-evidence from doublecounting performance in separate estimates of exploration (53%) and exploitation (55%). Third, JV’s substantive application to hypothesis testing supported theoretical predictions. We discuss practical consideration for eR-eT reciprocality, as well as theoretical contributions for cohering the OA empirical literature.
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(AoM)_Kerry & DeSimone (2018) JV of Explor-Exploit for OrgAmbidex on Performance.pdf
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