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1 – 3 of 3Wiebke M. Roling, Marcus Grum, Norbert Gronau and Annette Kluge
The purpose of this study was to investigate work-related adaptive performance from a longitudinal process perspective. This paper clustered specific behavioral patterns following…
Abstract
Purpose
The purpose of this study was to investigate work-related adaptive performance from a longitudinal process perspective. This paper clustered specific behavioral patterns following the introduction of a change and related them to retentivity as an individual cognitive ability. In addition, this paper investigated whether the occurrence of adaptation errors varied depending on the type of change content.
Design/methodology/approach
Data from 35 participants collected in the simulated manufacturing environment of a Research and Application Center Industry 4.0 (RACI) were analyzed. The participants were required to learn and train a manufacturing process in the RACI and through an online training program. At a second measurement point in the RACI, specific manufacturing steps were subject to change and participants had to adapt their task execution. Adaptive performance was evaluated by counting the adaptation errors.
Findings
The participants showed one of the following behavioral patterns: (1) no adaptation errors, (2) few adaptation errors, (3) repeated adaptation errors regarding the same actions, or (4) many adaptation errors distributed over many different actions. The latter ones had a very low retentivity compared to the other groups. Most of the adaptation errors were made when new actions were added to the manufacturing process.
Originality/value
Our study adds empirical research on adaptive performance and its underlying processes. It contributes to a detailed understanding of different behaviors in change situations and derives implications for organizational change management.
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Annette Kluge, Arnulf Sebastian Schüffler, Christof Thim, Jennifer Haase and Norbert Gronau
Insight has grown that for an organization to learn and change successfully, forgetting and unlearning are required. The purpose of this paper is to summarize the relevant…
Abstract
Purpose
Insight has grown that for an organization to learn and change successfully, forgetting and unlearning are required. The purpose of this paper is to summarize the relevant existing body of empirical research on forgetting and unlearning, to encourage research using a greater variety of methods and to contribute to a more complementary body of empirical work by using designs and instruments with a stronger reference to previous studies.
Design/methodology/approach
As the number of theoretical papers clearly exceeds the number of empirical papers, the present paper deals with the main insights based on the empirical state of research on unlearning and forgetting. So far, these empirical results have shown relationships between unlearning and other organizational outcomes such as innovation on an organizational level, but many of the other proposed relationships have not been investigated. The authors presents suggestion to apply a larger variety of qualitative, quantitative and mixed methods in organizational research.
Findings
Unlearning and forgetting research can benefit both from more diverse theoretical questions addressed in research and from a more complementary body of empirical work that applies methods, designs and instruments that refer to previous research designs and results. To understand and manage unlearning and forgetting, empirical work should relate to and expand upon previous empirical work to form a more coherent understanding of empirical results.
Originality/value
The paper presents a variety of research designs and methods that can be applied within the research context of understanding the nature of organizational forgetting and unlearning. Additionally, it illustrates the potential for different methods, such as experience sampling methods, which capture the temporal aspects of forgetting and unlearning.
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Marcus Grum and Norbert Gronau
With shorter product cycles and a growing number of knowledge-intensive business processes, time consumption is a highly relevant target factor in measuring the performance of…
Abstract
Purpose
With shorter product cycles and a growing number of knowledge-intensive business processes, time consumption is a highly relevant target factor in measuring the performance of contemporary business processes. This research aims to extend prior research on the effects of knowledge transfer velocity at the individual level by considering the effect of complexity, stickiness, competencies, and further demographic factors on knowledge-intensive business processes at the conversion-specific levels.
Design/methodology/approach
We empirically assess the impact of situation-dependent knowledge transfer velocities on time consumption in teams and individuals. Further, we issue the demographic effect on this relationship. We study a sample of 178 experiments of project teams and individuals applying ordinary least squares (OLS) for regression analysis-based modeling.
Findings
The authors find that time consumed at knowledge transfers is negatively associated with the complexity of tasks. Moreover, competence among team members has a complementary effect on this relationship and stickiness retards knowledge transfers. Thus, while demographic factors urgently need to be considered for effective and speedy knowledge transfers, these influencing factors should be addressed on a conversion-specific basis so that some tasks are realized in teams best while others are not. Guidelines and interventions are derived to identify best task realization variants, so that process performance is improved by a new kind of process improvement method.
Research limitations/implications
This study establishes empirically the importance of conversion-specific influence factors and demographic factors as drivers of high knowledge transfer velocities in teams and among individuals. The contribution connects the field of knowledge management to important streams in the wider business literature: process improvement, management of knowledge resources, design of information systems, etc. Whereas the model is highly bound to the experiment tasks, it has high explanatory power and high generalizability to other contexts.
Practical implications
Team managers should take care to allow the optimal knowledge transfer situation within the team. This is particularly important when knowledge sharing is central, e.g. in product development and consulting processes. If this is not possible, interventions should be applied to the individual knowledge transfer situation to improve knowledge transfers among team members.
Social implications
Faster and more effective knowledge transfers improve the performance of both commercial and non-commercial organizations. As nowadays, the individual is faced with time pressure to finalize tasks, the deliberated increase of knowledge transfer velocity is a core capability to realize this goal. Quantitative knowledge transfer models result in more reliable predictions about the duration of knowledge transfers. These allow the target-oriented modification of knowledge transfer situations so that processes speed up, private firms are more competitive and public services are faster to citizens.
Originality/value
Time consumption is an increasingly relevant factor in contemporary business but so far not been explored in experiments at all. This study extends current knowledge by considering quantitative effects on knowledge velocity and improved knowledge transfers.
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