Sensor-based proximity metrics for team research. A validation study across three organizational contexts
- PDF / 4,229,278 Bytes
- 26 Pages / 595.224 x 790.955 pts Page_size
- 107 Downloads / 158 Views
Sensor-based proximity metrics for team research. A validation study across three organizational contexts 1 ¨ Muller ¨ Jorg
· Julio Meneses1 · Anne Laure Humbert2 · Elisabeth Anna Guenther3
© The Author(s) 2020
Abstract Wearable sensors are becoming increasingly popular in organizational research. Although validation studies that examine sensor data in conjunction with established social and psychological constructs are becoming more frequent, they are usually limited for two reasons: first, most validation studies are carried out under laboratory settings. Only a handful of studies have been carried out in real-world organizational environments. Second, for those studies carried out in field settings, reported findings are derived from a single case only, thus seriously limiting the possibility of studying the influence of contextual factors on sensor-based measurements. This article presents a validation study of expressive and instrumental ties across nine relatively small R&D teams. The convergent validity of Bluetooth (BT) detections is reported for friendship and adviceseeking ties under three organizational contexts: research labs, private companies, and university-based teams. Results show that, in general, BT detections correlated strongly with self-reported measurements. However, the organizational context affects both the strength of the observed correlation and its direction. Whereas advice-seeking ties generally occur in close spatial proximity and are best identified in university environments, friendship relationships occur at a greater spatial distance, especially in research labs. We conclude with recommendations for fine-tuning the validity of sensor measurements by carefully examining the opportunities for organizational embedding in relation to the research question and collecting complementary data through mixed-method research designs. Keywords Wearable sensors · Bluetooth · Team science · Mixed-methods · Organizational context
Introduction Wearable sensors are providing exciting new research opportunities for the social sciences. Following up on initial technical developments to miniaturize and combine several sensor technologies into wearable devices in the first decade of the 21st century, interested scholars have invested considerable effort in assessing the validity and reliability of the resulting data (Chaffin et al., 2017; Chen & Miller, 2017; Elmer et al., 2019; Kayhan et al., 2018). These initial studies relied mainly on laboratory experiments to assess the
J¨org M¨uller
[email protected] 1
Universitat Oberta de Catalunya, Internet Interdisciplinary Institute IN3, Barcelona, Spain
2
Oxford Brookes University, Oxford, UK
3
Department of Management, Vienna University of Economics and Business, Vienna, Austria
validity of sensors as indicators of physical constructs such as ‘proximity’ based on Bluetooth (BT) signals or ‘faceto-face’ detections based on infrared sensors. However, an increasing number of studies that deploy wearable sensors in real-world organizational settin
Data Loading...
