Supporting the Change to Digitalized Production Environments Through Learning Organization Development

Fischer, Christoph; Pöhler, Alexander

doi:10.1007/978-3-319-63257-5_10

Cited by 17 publications

(8 citation statements)

References 27 publications

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“…However, current developments have also positive effects, such as safer and more rewarding jobs if different technologies take care of the demanding, monotonous, and dangerous tasks. For example, industrial robots can assist workers with heavy objects (Fischer and Pöhler, 2018). To control the ongoing revolution, we need a comprehensive view of how (digital) technology affects our lives (Schwab, 2015).…”

Section: Digitalization Of Working Lifementioning

confidence: 99%

“…The use of ICT at work can assist in effective information transfer, improve work performance, and give more freedom and flexibility to employees in terms of working places and work-life balance, thus enhancing employee well-being (Bordi et al, 2018;Day et al, 2010). In addition, ICT at work can enhance productivity, help to provide better service quality (Korunka and Hoonaker, 2014;Korunka and Vartiainen, 2017), and assist human decisions with complex data analysis (Fischer and Pöhler, 2018).…”

Section: Relations With Techno-work Engagement and Technology-relatedmentioning

confidence: 99%

See 1 more Smart Citation

A Novel Construct To Measure Employees’ Technology-Related Experiences of Well-Being: Empirical Validation of the Techno-Work Engagement Scale (TechnoWES)

Mäkiniemi¹,

Ahola²,

Joensuu

2020

Scandinavian Journal of Work and Organizational Psychology

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Section: Digitalization Of Working Lifementioning

confidence: 99%

Section: Relations With Techno-work Engagement and Technology-relatedmentioning

confidence: 99%

A Novel Construct To Measure Employees’ Technology-Related Experiences of Well-Being: Empirical Validation of the Techno-Work Engagement Scale (TechnoWES)

Mäkiniemi¹,

Ahola²,

Joensuu

2020

Scandinavian Journal of Work and Organizational Psychology

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“…Overall, our study provides first ideas on how retentivity and prior knowledge are generally related to learning and forgetting of working routines, which is especially important in the context of organizational change and the frequent technical innovations in a digital age [3]. Thus, it adds to a corpus of studies that aim to evaluate paths to cope with frequent change in the workplace.…”

Section: Discussionmentioning

confidence: 96%

“…This requires the ability to learn new working routines and to forget old, obsolete knowledge [2]. As a main part of the Work 4.0 development includes a digital connectivity between all parts of the value chain, many changes will be experienced within all sorts of production environments [3]. In order to properly face those transformational processes of the work environment, both the organization as well as the people involved need to be equipped and prepared in a best possible way.…”

Section: Introductionmentioning

confidence: 99%

Retentivity Beats prior Knowledge as Predictor for the Acquisition and Adaptation of New Production Processes

Haase¹,

Matthiesen²,

Schueffler³

et al. 2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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In the time of digitalization the demand for organizational change is rising and demands ways to cope with fundamental changes on the organizational as well as individual level. As a basis, learning and forgetting mechanisms need to be understood in order to guide a change process efficiently and successfully. Our research aims to get a better understanding of individual differences and mechanisms in the change context by performing an experiment where individuals learn and later re-learn a complex production process using a simulation setting. The individual's performance, as well as retentivity and prior knowledge is assessed. Our results show that higher retentivity goes along with better learning and forgetting performances. Prior knowledge did not reveal such relation to the learning and forgetting performances. The influence of age and gender is discussed in detail.

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“…The largest impact of the Digiprogram was that the city and its departments were learning a new culture. This was a culture where (technical) innovations were viewed as positive actions and the attitude toward experimenting was equally positive [71], [72].…”

Section: Discussionmentioning

confidence: 99%

Impacts of Digitalization: Many Agendas on Different Levels

Hellsten¹,

Pekkola²

2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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Contemporary organizations investing in digitalization initiatives aim at enhancing their productivity, streamlining their processes, or just cutting their costs. However, little is known about the impacts of how digitalization initiatives create value, for whom, or where and when these occur. In this paper, we study what kinds of impacts different digitalization initiatives in a midsized city create and for whom. We show that they vary for different stakeholders and according to their perspectives. Potential impacts diverge for city employees, decision makers, citizens, organizational activities, and the public sector in general. Our findings show that potential impacts are multifaceted and numerous. This has implications for the assessment of the success and the benefits of digitalization initiatives or information systems investments; they vary according to the stakeholders and their expectations. The distinction between the digitalization experiment with its novelty and uncertain suitability for the purpose and the standardized service is essential.

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Supporting the Change to Digitalized Production Environments Through Learning Organization Development

Cited by 17 publications

References 27 publications

A Novel Construct To Measure Employees’ Technology-Related Experiences of Well-Being: Empirical Validation of the Techno-Work Engagement Scale (TechnoWES)

A Novel Construct To Measure Employees’ Technology-Related Experiences of Well-Being: Empirical Validation of the Techno-Work Engagement Scale (TechnoWES)

Retentivity Beats prior Knowledge as Predictor for the Acquisition and Adaptation of New Production Processes

Impacts of Digitalization: Many Agendas on Different Levels

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