A resilience engineering-based approach to improving service reliability in maintenance organizations

Asadzadeh, Seyed Mohammad; Maleki, Hadi Rezghi; Tanhaeean, Mehrab

doi:10.1007/s13198-020-01015-5

Cited by 6 publications

(2 citation statements)

References 27 publications

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“…Another categorization for knowledge is individual and organizational knowledge, in which by having synergy, personal knowledge will be converted to organizational (Bhatt, 2002 ). Asadzadeh et al ( 2020 ) argue that with a quick increase in international competition, in-depth KM and its contributing factors will make organizations and industries capable of boosting their operational excellence. It should be considered that the KM implementation for recent findings and advancements within the organizations is a critical phenomenon for the skill improvement of individuals (Ramesh & Sivakumar, 2021 ).…”

Section: Literature Reviewmentioning

confidence: 99%

“…During this way, they will get the benefits of KS the foremost (Ganesh et al, 2014 ). Learning and knowledge sharing improves the resilience in organizations (Asadzadeh et al, 2020 ). Sometimes, executives and staff are ready and keen to use knowledge sharing within the supply chain but do not know their authority and responsibilities on this subject.…”

Section: Literature Reviewmentioning

confidence: 99%

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Motivational Factors Affecting Knowledge Sharing in Steel Industry Supply Chain: A Mixed Qualitative-Quantitative Method Analysis

2023

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The knowledge sharing creates a collaborative environment which contributes to creation of flexibility and meeting demands in supply chain. It guarantees the access of members to external knowledge and overall supply chain improvement in competitive environment. The steel industry as the second “key” and “strategic” industry after oil and petrochemical industry in Iran as one of the important countries in middle-east and due to its importance for development but also due to the characteristics of its cost accounting system is selected as case study. Regarding to, this study aimed to design a comprehensive list containing all knowledge sharing (KS) motivational factors for steel industries supply chain. Thus, a mixed method of qualitative (a three-phase Delphi method) and quantitative (decision-making trial and evaluation laboratory-DEMATEL) has been adopted. At first stage, the 33 motivational factors of KS were identified through literature review. Then using Delphi method, respondents were provided with the findings from the literature to shortlist and merge the factors based on steel industry supply chain features. Due to different theoretical and practical standpoints of views about KS motivators in steel industry supply chain, 30 respondents (experts) participated. The final factors extracted via Delphi method was 15. Then, DEMATEL method was used to find interdependence among factors. At the end, cost accounting system for each factor were asked from knowledge management departments in steel supply chain. The results indicated that majority of the costs in steel industry supply chain is spent in decreasing power and sense of ownership of knowledge, improving culture and expectations, and improving personal contact and interaction, team culture, rewards, strategic thinking, and individual management of time, respectively. Whereas, the results of DEMATEL technique indicated that team culture, power, and sense of ownership of knowledge; personal contact and interaction; trust; culture; and expectations are the 5th high ranking factors. Although there are plenty of techniques used for improving team culture such as community of practice, after action review, Knowledge caf’e, it is not so dominant in cost accounting system. Hopefully, departments consider power and sense of ownership of knowledge more carefully. Managers in steel supply chain pay more attention to cultural issues by having educational courses. Strategic thinking is not among the highest-ranking factors, but there are costs spent for it in steel supply chain which should be pondered upon it.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Motivational Factors Affecting Knowledge Sharing in Steel Industry Supply Chain: A Mixed Qualitative-Quantitative Method Analysis

2023

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Reliability assessment of photovoltaic quasi Z-source inverter through stochastic modeling

Rexy,

Seyezhai,

Umarani

et al. 2024

Electr Eng

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Development of a Business Model Resilience Framework for Managers and Strategic Decision-makers

Radic

Herrmann

Haberland

et al. 2022

Schmalenbach J Bus Res

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Following the massive impact of the Covid-19 pandemic on the global economy and on small and medium-sized enterprises (SMEs) in particular, the concept of resilience has experienced a renaissance. As an organizational concept, business model resilience describes the extent to which an organization can maintain or quickly recover its value proposition despite unexpected current or future disruptions (Palzkill-Vorbeck 2018). Although research has been conducted in this area for decades, there is still a lack of a unified framework that brings together the findings from research and links them to organizational practice. The paper addresses this gap by developing a framework for business model resilience and demonstrating its practical relevance for organizational performance during the Covid-19 pandemic in 2020. The framework includes 11 factors that characterize the resilience of an organization’s business model. For managers and decision-makers, the framework is an opportunity to assess and improve the resilience of their organizations. For researchers, the framework is an important foundation for transferring the concept of business model resilience into organizational practice.

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A resilience engineering-based approach to improving service reliability in maintenance organizations

Cited by 6 publications

References 27 publications

Motivational Factors Affecting Knowledge Sharing in Steel Industry Supply Chain: A Mixed Qualitative-Quantitative Method Analysis

Motivational Factors Affecting Knowledge Sharing in Steel Industry Supply Chain: A Mixed Qualitative-Quantitative Method Analysis

Reliability assessment of photovoltaic quasi Z-source inverter through stochastic modeling

Development of a Business Model Resilience Framework for Managers and Strategic Decision-makers

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