%0 Report %1 krzywdzinski2022measuring %A Krzywdzinski, Martin %A Pfeiffer, Sabine %A Evers, Maren %A Gerber, Christine %C Berlin %D 2022 %K algorithmic_management digital_assistance logistics manufacturing wearables %N SP III 2022-301 %T Measuring Work and Workers. Wearables and Digital Assistance Systems in Manufacturing and Logistics %U https://bibliothek.wzb.eu/pdf/2022/iii22-301.pdf %X The smart glove or smart data glasses: Digitalization of work means that technology is moving closer to the bodies of employees. It can make movements, vital signs and even emotions visible. Technologies which many people use privately to monitor their sporting activities or health opens up a new dimension of control in the workplace, but also the possibility of supporting employees in complex work processes. Based on case studies of companies in manufacturing and logistics as well as a survey of employees, this study provides insights into operational use cases of wearables and the assessments of employees. It reveals contradictory experiences and a high importance of co-determination and co-design of new technologies by employees and works councils as a condition for using new technologies for improving work quality.

@techreport{krzywdzinski2022measuring, abstract = {The smart glove or smart data glasses: Digitalization of work means that technology is moving closer to the bodies of employees. It can make movements, vital signs and even emotions visible. Technologies which many people use privately to monitor their sporting activities or health opens up a new dimension of control in the workplace, but also the possibility of supporting employees in complex work processes. Based on case studies of companies in manufacturing and logistics as well as a survey of employees, this study provides insights into operational use cases of wearables and the assessments of employees. It reveals contradictory experiences and a high importance of co-determination and co-design of new technologies by employees and works councils as a condition for using new technologies for improving work quality.}, added-at = {2022-09-05T15:34:47.000+0200}, address = {Berlin}, author = {Krzywdzinski, Martin and Pfeiffer, Sabine and Evers, Maren and Gerber, Christine}, biburl = {https://www.bibsonomy.org/bibtex/2dd00c553628c668d102777c7c2912e97/meneteqel}, institution = {Wissenschaftszentrum Berlin für Sozialforschung - Social Science Research Center Berlin, WZB}, interhash = {c0ed8042d3ab4a7a3045b16c7183fbd2}, intrahash = {dd00c553628c668d102777c7c2912e97}, keywords = {algorithmic_management digital_assistance logistics manufacturing wearables}, language = {en}, month = mar, number = {SP III 2022-301}, timestamp = {2024-05-12T16:14:56.000+0200}, title = {Measuring Work and Workers. Wearables and Digital Assistance Systems in Manufacturing and Logistics}, type = {WZB Discussion Paper}, url = {https://bibliothek.wzb.eu/pdf/2022/iii22-301.pdf}, year = 2022 }