'Industrie 4.0' and an Aging Workforce - A Discussion from a Psychological and a Managerial Perspective

The aging workforce is already impacting on companies, particularly those in countries of the industrialized Western world. Furthermore, Western companies are coming under the increasing influence of technological developments, such as ‘Industrie 4.0’, which are in the process of completely changing traditional working environments. In order to maintain their industrial competitiveness, companies need to synchronize these technological developments with their own organizational requirements and in particular with the requirements of an aging workforce. We show how different types of competencies may be categorized in order to enable a successful synchronization. In addition, we take a look at recent developments in the domain of ‘Industrie 4.0’ and derive future research areas for solving the challenges involved.

[1]  Andrea De Mauro,et al.  What is big data? A consensual definition and a review of key research topics , 2015, AIP Conference Proceedings.

[2]  U. Lindenberger,et al.  Social participation attenuates decline in perceptual speed in old and very old age. , 2005, Psychology and aging.

[3]  Kagermann Henning Recommendations for implementing the strategic initiative INDUSTRIE 4.0 , 2013 .

[4]  U. Lindenberger,et al.  Relations between aging sensory/sensorimotor and cognitive functions , 2002, Neuroscience & Biobehavioral Reviews.

[5]  Jens P. Wulfsberg,et al.  Open Production: Chances for Social Sustainability in Manufacturing , 2015 .

[6]  László Monostori,et al.  ScienceDirect Variety Management in Manufacturing . Proceedings of the 47 th CIRP Conference on Manufacturing Systems Cyber-physical production systems : Roots , expectations and R & D challenges , 2014 .

[7]  Jens P. Wulfsberg,et al.  Unfold Collective Intelligence! , 2012 .

[8]  Frank Schieber,et al.  Human Factors and Aging: Identifying and Compensating for Age-related Deficits in Sensory and Cognitive Function , 2003 .

[9]  André Calero Valdez,et al.  Openness to Accept Medical Technology - A Cultural View , 2011, USAB.

[10]  Anne Linke,et al.  Management der Online-Kommunikation von Unternehmen , 2015 .

[11]  André Calero Valdez,et al.  Reasons for Using Social Networks Professionally - The Influence of User Diversity on Usage Motivation , 2014, HCI.

[12]  A. Fornalczyk,et al.  Age Management within Organizations – Employees’ Perceptions of the Phenomenon – Research Report , 2015 .

[13]  David Autor,et al.  The Growth of Low Skill Service Jobs and the Polarization of the U.S. Labor Market , 2009, SSRN Electronic Journal.

[14]  Malte Brettel,et al.  How Virtualization, Decentralization and Network Building Change the Manufacturing Landscape: An Industry 4.0 Perspective , 2014 .

[15]  M. Broy Cyber-Physical Systems — Wissenschaftliche Herausforderungen Bei Der Entwicklung , 2010 .

[16]  M. Haas,et al.  Which Problems to Solve? Online Knowledge Sharing and Attention Allocation in Organizations , 2014 .

[17]  Michael Jäckel,et al.  ‘Und sie mailten was sie tun.’ Erfahrungen mit neuen Informations- und Kommunikationstechnologien in Unternehmen und Verwaltungen , 2004 .

[18]  Neil Charness,et al.  Acquiring skill at mental calculation in adulthood: a task decomposition , 1988 .

[19]  Martina Ziefle,et al.  Effects of age, cognitive, and personal factors on PDA menu navigation performance , 2009, Behav. Inf. Technol..

[20]  H. Hirsch-Kreinsen Einleitung: Digitalisierung industrieller Arbeit , 2015 .

[21]  F. Craik,et al.  The handbook of aging and cognition , 1992 .

[22]  Steven W. Brown,et al.  The effects and interaction of spatial visualization and domain expertise on information seeking , 2004, Comput. Hum. Behav..

[23]  Tetlock,et al.  Group Dynamics in Top Management Teams: Groupthink, Vigilance, and Alternative Models of Organizational Failure and Success. , 1998, Organizational behavior and human decision processes.

[24]  R. Norton,et al.  Measurement of ambiguity tolerance. , 1975, Journal of personality assessment.

[25]  Thomas Bauernhansl,et al.  Die Vierte Industrielle Revolution - Der Weg in ein wertschaffendes Produktionsparadigma , 2017, Handbuch Industrie 4.0.

[26]  Wolfgang Weller,et al.  Auf dem Weg zur 4. Industriellen Revolution , 2014 .

[27]  Rebecca Bulander,et al.  Usability Requirements for Complex Cyber-Physical Systems in a Totally Networked World , 2014, PRO-VE.

[28]  Michael ten Hompel,et al.  Digitalisierung industrieller Arbeit: Entwicklungsperspektiven und Gestaltungsansätze , 2017, Handbuch Industrie 4.0.

[29]  P. Warr Age and job performance , 2020 .

[30]  Sarah Sharples,et al.  Novel interaction styles, complex working contexts, and the role of usability , 2010 .

[31]  Edward A. Lee Cyber Physical Systems: Design Challenges , 2008, 2008 11th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing (ISORC).

[32]  Peter Letmathe,et al.  Ökonomische Bewertung von Kommunikationsflüssen am Beispiel von Führungsimpulsen , 2017 .

[33]  Huw Richards,et al.  Strategy and Performance: Competing through Competences , 2002 .

[34]  Viswanath Venkatesh,et al.  Unified Theory of Acceptance and Use of Technology--Revised , 2018 .

[35]  T. Gregory,et al.  Übertragung der Studie von Frey/Osborne (2013) auf Deutschland: Endbericht , 2015 .

[36]  André Calero Valdez,et al.  The diversity of why: a meta-analytical study of usage motivation in enterprise social networks , 2017, Universal Access in the Information Society.

[37]  Insup Lee,et al.  Cyber-physical systems: The next computing revolution , 2010, Design Automation Conference.

[38]  Günther Schuh,et al.  Collaboration Moves Productivity to the Next Level , 2014 .

[39]  Detlef Gerst,et al.  Designing Workplaces from a Work Organizational Perspective by Detlef Gerst , 2015 .

[40]  A. Dey World report on ageing and health , 2017, The Indian Journal of Medical Research.

[41]  Klaus North,et al.  Transparency and Transfer of Individual Competencies - A Concept of Integrative Competence Management , 2003, J. Univers. Comput. Sci..

[42]  Joseph Sharit,et al.  Factors predicting the use of technology: findings from the Center for Research and Education on Aging and Technology Enhancement (CREATE). , 2006, Psychology and aging.

[43]  Yadira Espinal Viktor Mayer-Schonberger and Kenneth Cukier, Big Data: A Revolution That Will Transform How We Live, Work and Think , 2013 .

[44]  Klaus-Detlev Becker Arbeit in der Industrie 4.0 – Erwartungen des Instituts für angewandte Arbeitswissenschaft e.V. , 2015 .

[45]  Nicole Sprafke,et al.  Vom Kompetenzmanagement zum Kompetenzcontrolling , 2015 .

[46]  Friedemann Schulz von Thun,et al.  Störungen und Klärungen : allgemeine psychologie der Kommunikation , 1981 .

[47]  Friedemann Schulz von Thun,et al.  Miteinander reden / 1 Störungen und Klärungen : Psychologie der zwischenmenschlichen Kommunikation , 1983 .

[48]  Mick Swiney State of the Net , 2014 .

[49]  Eva Geisberger,et al.  acatech STUDIE März 2012 > agendaCPS , 2012 .

[50]  Philipp Brauner,et al.  Preparing production systems for the Internet of Things : The potential of socio-technical approaches in dealing with complexity , 2016 .

[51]  Daqiang Zhang,et al.  Internet of Things , 2012, J. Univers. Comput. Sci..

[52]  Peter Letmathe,et al.  Competence management in the age of Cyber Physical Systems , 2017 .

[53]  Ray Reagans,et al.  Network Structure and Knowledge Transfer: The Effects of Cohesion and Range , 2003 .

[54]  S. Swinnen,et al.  Proprioceptive sensibility in the elderly: Degeneration, functional consequences and plastic-adaptive processes , 2009, Neuroscience & Biobehavioral Reviews.

[55]  André Calero Valdez,et al.  Personality Influences on Etiquette Requirements for Social Media in the Work Context - When Jaunty Juveniles Communicate with Serious Suits , 2013, SouthCHI.

[56]  Mathias Schmitt,et al.  Mensch-Maschine-Interaktion im Industrie 4.0-Zeitalter , 2017, Handbuch Industrie 4.0.

[57]  Dov Elizur,et al.  Effect of Participation in Strategic and Tactical Decisions on Acceptance of Planned Change. , 1990, The Journal of social psychology.

[58]  D. Alwin,et al.  Aging, cohorts, and verbal ability. , 2001, The journals of gerontology. Series B, Psychological sciences and social sciences.

[59]  Peter Letmathe,et al.  Determinants of feedback effectiveness in production planning , 2016 .

[60]  André Calero Valdez,et al.  State of the (net)work address Developing criteria for applying social networking to the work environment. , 2012, Work.

[61]  John Erpenbeck,et al.  Handbuch Kompetenzmessung : erkennen, verstehen und bewerten von Kompetenzen in der betrieblichen, pädagogischen und psychologischen Praxis , 2017 .

[62]  Katharine Armstrong,et al.  Big data: a revolution that will transform how we live, work, and think , 2014 .

[63]  N. Yee,et al.  The Digital Workforce and the Workplace of the Future , 2016 .

[64]  Michael A. Osborne,et al.  The future of employment: How susceptible are jobs to computerisation? , 2017 .

[65]  Jean Loup Schere,et al.  TOLERANCE OF AMBIGUITY AS A DISCRIMINATING VARIABLE BETWEEN ENTREPRENEURS AND MANAGERS , 1982 .

[66]  Susanne Voigt E-Mail-Kommunikation in Organisationen : eine explorative Studie zu individuellen Nutzungsstrategien , 2003 .

[67]  Viswanath Venkatesh,et al.  Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology , 2012, MIS Q..

[68]  Klaus North,et al.  Kompetenzmanagement in der Praxis , 2005 .

[69]  Joerg Freiling,et al.  A Competence-based Theory of the Firm , 2004 .

[70]  Peter Nyhuis,et al.  Employee competences in manufacturing companies – an expert survey , 2015 .

[71]  Hartmut Hirsch-Kreinsen,et al.  Entwicklungsperspektiven von Produktionsarbeit , 2015 .

[72]  A. Pentland The new science of building great teams , 2012 .

[73]  Harold W. Thimbleby,et al.  Validating the unified theory of acceptance and use of technology (UTAUT) tool cross-culturally , 2007, BCS HCI.

[74]  Vallabh Sambamurthy,et al.  Special Issue on Information Technology and Knowledge Management , 2005 .

[75]  D. Boyd,et al.  CRITICAL QUESTIONS FOR BIG DATA , 2012 .

[76]  André Calero Valdez,et al.  The Impact of User Diversity on the Willingness to Disclose Personal Information in Social Network Services - A Comparison of Private and Business Contexts , 2013, SouthCHI.

[77]  William R. King,et al.  A meta-analysis of the technology acceptance model , 2006, Inf. Manag..

[78]  Linda Argote,et al.  Managing Knowledge in Organizations: An Integrative Framework and Review of Emerging Themes , 2003, Manag. Sci..

[79]  Götz Wehberg Big Data - Mustererkennung als Erfolgsfaktor der Logistik 4.0 , 2017, Handbuch Industrie 4.0.

[80]  Simone Kauffeld,et al.  Kompetenzen messen, bewerten, entwickeln : ein prozessanalytischer Ansatz für Gruppen , 2006 .

[81]  Helmut Zaiser,et al.  Competences for Cyber-physical Systems in Manufacturing – First Findings and Scenarios , 2014 .