Big Data or Big Brother ? - Big Data HR Control Practices and Employee Trust
Type
applied research project
Start Date
2017
End Date
2020
Acronym
Big Data
Status
ongoing
Keywords
Big Data
trust
human resources management
HRM
HR analytics
workplace analytics
HR control practices
business ethics
labor law
Description
The aim of this project is to understand the impact of big data-driven workforce analytics on employees’ trust in their employer. Drawing from literature on HR control practices (Weibel et al., 2015), we expect that three main contingencies will shape employees’ perception of the use of predictive analytics and their trust in the employer: (1) the bundle of metrics and predictive analytics actually used by HR; (2) the implementation of legal requirements by the employer (particularly data and privacy protection laws); and (3) ethical guidelines on what is being measured for what reason, and how individuals’ data are being dealt with. We will study these influences using four modules including the following steps: (1) Interviews with experts on big data from both academia and practice who will serve as a ‘trust in big data’ sounding board for the entire duration of the project; (2) a survey of 1,200 Swiss companies on their big data practices; (3) in-depth case studies of leading companies in the field; and (4) a factorial survey that will allow us to test causal hypotheses derived from modules 1-3.
Funder
Topic(s)
Big Data
trust
human resources management
HRM
HR analytics
workplace analytics
HR control practices
business ethics
labor law
Notes
Big Data, trust, human resources management, HRM, HR analytics, workplace analytics, HR control practices, business ethics, labor law
Range
HSG + other universities
Range (De)
HSG + andere
Eprints ID
247238
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Item type:Publication, No stone left unturned? Towards a framework on the impact of datafication technologies on organizational control(2019-12-06); ; ; ; Type:conference paper - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Unleashing Employee-Employer Trust: The Uncharted Influence of Responsible Leadership in Technology-Permeated Workplaces(HICSS- 57; Hawaii International Conference on System Sciences, 2024-01-03); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, No stone left unturned? Towards a framework for the impact of datafication technologies on organizational control(2020-05-15); ; ; ; Type:journal articleJournal:Academy of Management DiscoveriesVolume:6Issue:3Scopus© Citations 121 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The Challenges of Algorithm-based HR Decision-making for Personal Integrity(Springer, 2019-06); ; ; ; Organizations increasingly rely on algorithm-based HR decision-making to monitor their employees. This trend is reinforced by the technology industry claiming that its decision-making tools are efficient and objective, downplaying their potential biases. In our manuscript, we identify an important challenge arising from the efficiency-driven logic of algorithm-based HR decision-making, namely that it shifts the delicate balance between employees’ personal integrity and compliance toward favoring compliance. The reason is that algorithm-based HR decision-making may marginalize human sense-making, promote blind trust in rules, and replace moral imagination. We suggest that critical data literacy, ethical awareness, the use of participatory design methods, and private regulatory regimes within civil society can help overcome these challenges. Our paper contributes to literature on workplace monitoring, critical data studies, personal integrity and literature at the intersection between HR management and corporate responsibility.Type:journal articleJournal:Journal of business ethics : JOBEVolume:160Issue:2Scopus© Citations 285 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Workplace Surveillance and Big Data: Contextualizing Digital Threats to Employees Moral Agency and Integrity(Academy of Management Global Proceedings, 2018); ; ; ; Type:conference paperVolume:2018 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, «Bis auf die Unterhose überwacht»: Wie Unternehmen im Home-Office Daten über ihre Mitarbeiter sammelnType:newspaper articleJournal:Neue Zürcher Zeitung NZZ - Some of the metrics are blocked by yourconsent settings
Item type:Publication, No stone left standing? Understanding the impact of technology on established modes of organizational control.The goal of this paper is to develop an empirically grounded framework to analyze how new technologies alter or expand traditional organizational control configurations. New technologies for data gathering, analysis, interpretation and learning are increasingly applied in the workplace. Technology suppliers are developing and aggressively marketing solutions for employee management and control with growing interest. Yet detailed insight about the effects of these technologies on traditional control is lacking. To convey a better understanding about new technologies in employee management and control, this paper proposes a “New Technology Control Framework” on the basis of an iterative research design. The framework is anchored in the configurational control theory, drawing on empirical insights of research on electronic performance monitoring and enhanced 26 topic-guided interviews with experts, who either produce new technological control solutions or apply these. The prototype of a morphology of new technology control configurations (NTCCs) is refined through expert workshops and undergoes plausibility checks with users. The final framework is composed of eleven distinct, yet interrelated conceptual building blocks. The framework offers a first point of orientation to systematically analyze key implications for theory and practice for turning NTCC into a productive force for organizational control. It indicates which elements a configurational theory of organizational control should address in the digital age, to assist decision makers to strategically implement, customize off-the-shelf products and manage digitalization at the workplace. The results offer a conducive starting point for a range of scientific discourses in multiple fields by contributing to understanding how technological progress and digital transformation influence organizations.Type:conference paper - Some of the metrics are blocked by yourconsent settings
Item type:Publication, - Some of the metrics are blocked by yourconsent settings
Item type:Publication, No stone left standing? Understanding the impact of technology on established modes of organizational control.The goal of this paper is to develop an empirically grounded framework to analyze how new technologies alter or expand traditional organizational control configurations. New technologies for data gathering, analysis, interpretation and learning are increasingly applied in the workplace. Technology suppliers are developing and aggressively marketing solutions for employee management and control with growing interest. Yet detailed insight about the effects of these technologies on traditional control is lacking. To convey a better understanding about new technologies in employee management and control, this paper proposes a “New Technology Control Framework” on the basis of an iterative research design. The framework is anchored in the configurational control theory, drawing on empirical insights of research on electronic performance monitoring and enhanced 26 topic-guided interviews with experts, who either produce new technological control solutions or apply these. The prototype of a morphology of new technology control configurations (NTCCs) is refined through expert workshops and undergoes plausibility checks with users. The final framework is composed of eleven distinct, yet interrelated conceptual building blocks. The framework offers a first point of orientation to systematically analyze key implications for theory and practice for turning NTCC into a productive force for organizational control. It indicates which elements a configurational theory of organizational control should address in the digital age, to assist decision makers to strategically implement, customize off-the-shelf products and manage digitalization at the workplace. The results offer a conducive starting point for a range of scientific discourses in multiple fields by contributing to understanding how technological progress and digital transformation influence organizations.Type:conference paper