Technology, Work and Organization

Semester: WS 19/20
Lecturers: Mag. Michael Filzmoser, PhD; Univ. Ass. IM Ing. Dipl.-Ing. Dragos-Cristian Vasilescu, BSc; Projektass. Setareh Zafari, MSc; Jesse De Pagter, MA; Helena Frijns, MSc; Guglielmo Papagni, MA; Dr. Martina Hartner-Tiefenthaler; Julia Schöllbauer, MSc; Prof.(FH) Dipl.-Ing. Dipl.-Wirtsch.-Ing. Michael Bartz; Univ.-Prof. Mag. Dr. Sabine Theresia Köszegi

The goal of this interdisciplinary course was to discuss and reflect current challenges on the intersection of technology, work and organization. The course consisted of four blocks – New ways of working, Impact of Innovation, Human Robot Collaboration, AI and work. After successful completion of the course, students are able to describe recent topics in the field of technology, work and organization based on scientific literature provided as well as critically discuss opportunities and challenges.

  1. New ways of working (Martina Hartner-Tiefenthaler, Julia Schöllbauer, Michael Bartz)

New ways of working is defined as the flexibility of time and place of work which is enabled via information and communication technology. In this block we discussed pros and cons of new ways of working with particular emphasis on communication and coordination (including the aspect of team rules) and their impact on recovery experiences.

  1. Impact of Innovation (Michael Filzmoser, Dragos-Cristian Vasilescu)

Technological change and technical innovations have an tremendous impact on society, companies and individuals. In the course we addressed the societal and economic positive and negative impacts of technological innovations as well as the scientific models used to describe and manage them based on the specific cases of (i) machine invention and (ii) automated.

  1. Human Robot Collaboration (Setareh Zafari, Jesse De Pagter, Helena Frijns, Guglielmo Papagni)

Human robot collaboration is when human(s), robot(s) and the environment come to contact with each other and form a tightly coupled dynamical system to accomplish a task. In this block we discussed some paradigmatic examples of robotization (and mechanization) which showcased the challenges that increasingly arise when humans and robots are collaborating with particular emphasis on the creation, maintenance and reestablishment of trust in such collaborative work scenarios.

  1. AI and work (Sabine Koeszegi)

This block analyzed the impact of AI technologies on work and work organization. More specifically, we discussed AI & Human Resources, Job Design, and Skills. Questions we encountered were, for example:

  • How can AI technologies be implemented in human resource management processes?
  • How can predictive tools be used in across the hiring funnel, how it can be used to predict, monitor and control work performance of employees and how the technology may be exploited to monitor health indicators of employees?
  • How will work and work organizations change through AI and robotic technologies?
  • Which jobs are likely to be automated and which new tasks and jobs may emerge?
  • How should jobs be redesigned?
  • How can individuals and organizations prepare to be ready for changes triggered by digitalization and the implementation of AI technologies?
  • Which skills will be key for the future of work?

Literature

  • Autor, David; Levy, Frank; Murnane, Richard. “The skill content of recent technological change: An empirical exploration.” The Quarterly Journal of Economics (2003): 1279-1333.
  • Gajendran, Ravi; Joshi, Aparna. “Innovation in globally distributed teams: The role of LMX, communication frequency, and member influence on team decisions.” Journal of Applied Psychology 97, no. 6 (2012):1252-1261.
  • Münzer, Stefan; Holmer, Torsten. “Bridging the gap between media synchronicity and task performance: Effects of media characteristics on process variables and task performance indicators in an information pooling task.” Communication Research 36, no. 1 (2009): 76-103.
  • Schlachter, Svenja; McDowall, Almuth; Cropley, Mark; Ilke, Inceoglu. “Voluntary work-related technology use during non-work time: A narrative synthesis of empirical research and research agenda.” International Journal of Management Reviews 20, no. 4 (2018): 825-846.
  • Filzmoser, Michael. Simulation of Automated Negotiation. Vienna: Springer Verlag, 2010.
  • Grubler, Arnulf. Technology and Global Change. Cambridge: Cambridge University Press, 2015.
  • Courvisanos, Jerry. “Technological Innovation: Galbraith, the Post Keynesians, and a Heterodox Future.” Journal of Post Keynesian Economics 28, no. 1 (2005): 83-102.
  • Tidd, Joe; Bessant, John. Managing Innovation: Integrating Technological, Market and Organizational Change. Chichester: Wiley, 2013.
  • Moniz, António; Krings, Bettina-J. Robots Working with Humans or Humans Working with Robots? Searching for Social Dimensions in New Human-Robot Interaction in Industry. Vienna: Societies, 2016.
  • Bauer, Andrea; Wollherr, Dirk; Buss, Martin. “Human-Robot Collaboration: A Survey.” International Journal of Humanoid Robotics (2007).
  • Wachter, Sandra; Mittelstadt, Brent; Floridi. “Why a Right to Explanation of Automated Decision-Making Does Not Exist in the General Data Protection Regulation.” International Data Privacy Law (2017).
  • Autor, David. “Why Are There Still So Many Jobs? The History and Future of Workplace Automation.” Journal of Economic Perspectives 29, no. 3 (2015): 3-30.
  • Bainbridge, Lisanne. “Ironies of Automation.” Automatica 19, no. 6 (1983): 775-779.
  • Bogen, Miranda; Rieke, Aaron. Help Wanted: An Examination of Hiring Algorithms, Equity, and Bias. Upturn, 2018. 

Individual Project
Format: Paper
Topic 1: Voluntary Work‐related Technology Use during Non‐work Time – A Narrative Synthesis of Empirical Research and Research Agenda
Topic 2: Technology and Innovation
Topic 3: Human-Robot Collaboration
Topic 4: AI and Work