About unlearning and learning regions

Ernste, Huib

doi:10.4324/9780203422793.ch6

Cited by 3 publications

(5 citation statements)

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“…Unlearning has been identified as a key unlocking strategy to address the inertia of path dependency (Ernste, 2003;Hassink, 2005), where knowledge is identified by organizations that can be unlearnt as it is obsolete, and does not equip organizations for the future, or align with future strategy. Using the work of Rushmer and Davies (2004), Hislop et al (2014) position two types of unlearning in terms of the depth of unlearning, wiping versus deep unlearning with regard to knowledge, skills, and behaviors, and more deeply values, assumptions, and beliefs, where a third response, fading, is considered as organizational forgetting (see Manning et al, 2021).…”

Section: Inertia Organizational Order and Implications For Food Safetymentioning

confidence: 99%

Section: Inertia Organizational Order and Implications For Food Safetymentioning

confidence: 99%

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Organizational unlearning: A risky food safety strategy?

Manning

Morris

Birchmore

2023

Comp Rev Food Sci Food Safe

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Strategically unlearning specific knowledge, behaviors, and practices facilitates product and process innovation, business model evolution, and new market opportunities and is essential to meet emergent supply chain and customer requirements. Indeed, addressing societal concerns such as climate change and net zero means elements of contemporary practice in food supply chains need to be unlearned to ensure new practices are adopted. However, unlearning is a risky process if crucial knowledge is lost, for example, if knowledge is situated in the supply base not the organization itself, or there is insufficient organizational food safety knowledge generation, curation, and management when new practices/processes are designed and implemented. An exploratory, critical review of management and food safety academic and gray literature is undertaken that aims to consider the cycle of unlearning, learning, and relearning in food organizations and supply chains with particular emphasis on organizational innovation, inertia, and the impact on food safety management systems and food safety performance. Findings demonstrate it is critical with food safety practices, such as duration date coding or refrigeration practices, that organizations "unlearn" in a way that does not increase organizational, food safety, or public health risk. This paper contributes to extant literature by highlighting the organizational vulnerabilities that can arise when strategically unlearning to promote sustainability in a food supply context. Mitigating such organizational, food safety, and public health risk means organizations must simultaneously drive unlearning, learning, and relearning as a dynamic integrated knowledge acquisition and management approach. The research implications are of value to academics, business managers, and wider industry.

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Section: Inertia Organizational Order and Implications For Food Safetymentioning

confidence: 99%

Section: Inertia Organizational Order and Implications For Food Safetymentioning

confidence: 99%

Organizational unlearning: A risky food safety strategy?

Manning

Morris

Birchmore

2023

Comp Rev Food Sci Food Safe

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“…The smart city model operating with different issues will require a knowledge cooperation of different sectors, and universities or the university's structures could become centres (nodes), generating knowledge in or attracting it from outside smart city networks. The universities could serve this purpose much more effectively and play their special role in the community, not only by teaching, but also by accompany innovation in a municipal area, being the generator of smart change, organizing a reflective learning path, and addressing the hottest community problems and required developments [32]. Thus, a smart city is a model that creates a learning city format as a parallel to learning regions; the latter are described by a number of authors [33].…”

Section: Complexity and Adaptability In A Collaborative Smart City Modelmentioning

confidence: 99%

“…Thus, a smart city is a model that creates a learning city format as a parallel to learning regions; the latter are described by a number of authors [33]. The knowledge space has to be formed through collaboration in learning between city partners and thus creating the innovative information-delivery networks, supported by innovation policy for creativity, inspiration, and for reflection [32,34,35].…”

Section: Complexity and Adaptability In A Collaborative Smart City Modelmentioning

confidence: 99%

A Pattern of Collaborative Networking for Enhancing Sustainability of Smart Cities

et al. 2020

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This paper represents a research response to the current vision on transformations regarding the capacity building of smart cities focused towards sustainability, by addressing the knowledge based urban development and collaborative tools that support the development, dissemination, and use of knowledge. The purpose of this paper is to develop a collaborative pattern of knowledge networking, focusing on sustainability goals within a smart city concept, using the logic of the Complex Adaptive System (CAS). The study was carried out in an innovation cluster in Romania; the Social Network Analysis (SNA) was used as a tool to perform the study. The results of this analysis, due to the suggested networking, have led to delimitation of the roles that Groups of Competences play to enhance the sustainability of smart cities in areas where the use of knowledge has the greatest impact. Results show that the success of the smart solutions’ implementation depends on how the social and competence structures of the network are shaped and whether it permanently adapts to fit the sustainability objectives in the considered areas.

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“…Em síntese, o aprendizado organizacional é firm-specific, mas é também local, sectorial e contextual-specific. Segundo Ernst (2003), existem três "movimentos circulares" (loop) relacionados ao processo de aprendizado: o primeiro (single-loop learning) caracteriza-se por ser uma "reação adaptativa" ao conhecimento já produzido (codificado); o segundo (double-loop learning) relaciona-se à capacidade de reflexão/solução de problemas; e o terceiro (triple-loop learning) define-se pela forma como se atingem os objetivos, abrangendo o segundo movimento e formando o que o autor conceitua como "reflective learning". Em suma: "If single-loop learning is described as improvement and double-loop learning as renewal, then triple-loop learning may be characterized as development" (ERNST, 2003, p. 115, grifo nosso).…”

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Processo de aprendizado, acumulação de conhecimento e sistemas de inovação: a “co-evolução das tecnologias físicas e sociais” como fonte de desenvolvimento econômico

Pereira

Dathein

2012

Rev. Bras. Inov.

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ResumoAo conceber a empresa como uma instituição de produção e aprendizado, a abordagem "institucionalista-evolucionária" tem avançado na compreensão das causas e efeitos de seu desempenho como agente da inovação. A partir dessa perspectiva, este artigo faz uma revisão da discussão teórica sobre o papel das empresas na consolidação dos sistemas de inovação, enfatizando a importância do processo de aprendizado como base da acumulação de conhecimentos necessários à promoção de inovações tecnológicas, organizacionais e também institucionais.Nesse sentido, entende-se que a empresa contribui e, ao mesmo tempo, se favorece dos sistemas de inovação, na medida em que o processo de aprendizado é parte inerente da "coevolução das tecnologias físicas e sociais", propiciando avanços nos níveis micro e mesoeconômicos, o que promove o desenvolvimento econômico.Processo de aprendizado, acumulação de conhecimento e sistemas de inovação: a "co-evolução das tecnologias físicas e sociais" como fonte de desenvolvimento econômico* Learning process, accumulation of knowledge and innovation systems: the coevolution of physical and social technologies as source of economic development abstRact By conceiving the firm as an institution of production and learning, the "institutionalistevolutionary" approach has been making progress in understanding the causes and effects of its performance as an agent of innovation. From this perspective, this article is a survey of the theoretical discussion about the role of companies in the consolidation of innovation systems, emphasizing the importance of the learning process as a basis for the knowledge accumulation necessary to promote technological, organizational and also institutional innovations. Adriano José PereiraIn this sense, the paper shows that companies contribute and, at the same time, benefit from innovation systems, as the learning process is an inherent part of the "co-evolution of physical and social technologies", providing advances in micro and meso economic levels, thus promoting economic development.

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About unlearning and learning regions

Cited by 3 publications

References 18 publications

Organizational unlearning: A risky food safety strategy?

Organizational unlearning: A risky food safety strategy?

A Pattern of Collaborative Networking for Enhancing Sustainability of Smart Cities

Processo de aprendizado, acumulação de conhecimento e sistemas de inovação: a “co-evolução das tecnologias físicas e sociais” como fonte de desenvolvimento econômico

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