Capability/maturity based model for logistics processes assessment

2015 ◽  
Vol 64 (1) ◽  
pp. 28-51 ◽  
Author(s):  
Rachid Benmoussa ◽  
Charkaoui Abdelkabir ◽  
Achraf Abd ◽  
Marouane Hassou
Keyword(s):  
Capability Maturity Model ◽  
Maturity Model ◽  
Industrial Case Study ◽  
New Approach ◽  
Content Type ◽  
Capability Maturity ◽  
Distribution Logistics ◽  
Industrial Level ◽  
Logistics Process

Purpose – The purpose of this paper is to study how a general standardized processes assessment capability/maturity model, such as Capability Maturity Model Integration (CMMI), can be combined to a standardized benchmark of logistics processes best practices, such as FD X50-604, to propose a new approach that evaluates logistics processes capability/maturity. Design/methodology/approach – First, an analysis study of CMMI model and X50-604 standard is performed. In order to prove their coherence, a deep comparative analysis of CMMI and X50-604 practices is conducted. As illustration, the paper focuses on a particular application of this approach to evaluate capability/maturity of distribution logistics activities. An industrial case study that aims the validation of this particular application is finally conducted in a furniture company. Findings – The authors estimate that the paper findings provide an operational guide for industrials to evaluate their distribution processes that is a practical, verifiable, repeatable and extensible to other logistics process areas and an interesting opportunity to evolve the standard FD X50-604 regarding CMMI requirements to assess capability/maturity of logistics processes. Originality/value – In general, the few capability/maturity-driven models analyzed in literature present some limits that do not allow their diffusion in the industrial level, especially in logistics. This study proposes a new approach based on standards that provide an operational guide for industrials to evaluate their distribution processes based on capability/maturity concept.

Organizational Cognition in the Industrial Case Study

2010 ◽  
pp. 122-132
Author(s):  
Farley Simon Nobre ◽  
Andrew M. Tobias ◽  
David S. Walker
Keyword(s):  
Process Improvement ◽  
Capability Maturity Model ◽  
Maturity Model ◽  
Process Maturity ◽  
Industrial Case Study ◽  
Organizational Cognition ◽  
Capability Maturity ◽  
Organization Process ◽  
And Performance

This chapter is concerned with the implementation of The Capability Maturity Model in the organization of study. In this application, we define measures of organization process improvement and we propose correlations between them and organizational cognition. Among these measures are included organization process maturity, capability, and performance. Therefore, we define correlations between organizational cognition and organization process maturity, and also between organizational cognition and organization process capability and performance. From such correlations, we also define an association between organizational cognition and organizational learning. Hence, we outline new directions to the development of approaches to assess, to evaluate and to measure the degree of organizational cognition from appraisal methods of The Capability Maturity Model and of other organization process improvement models. Moreover, Chapter IX is complemented by Appendix I which summarizes concepts and characteristics about the five maturity levels of The Capability Maturity Model.

The development of the data science capability maturity model: a survey-based research

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mert Onuralp Gökalp ◽  
Ebru Gökalp ◽  
Kerem Kayabay ◽  
Altan Koçyiğit ◽  
P. Erhan Eren
Keyword(s):  
Data Science ◽  
Gap Analysis ◽  
Process Capability ◽  
Capability Maturity Model ◽  
International Electrotechnical Commission ◽  
Maturity Model ◽  
Data Governance ◽  
Content Type ◽  
Capability Maturity ◽  
Development Framework

PurposeThe purpose of this paper is to investigate social and technical drivers of data science practices and develop a standard model for assisting organizations in their digital transformation by providing data science capability/maturity level assessment, deriving a gap analysis, and creating a comprehensive roadmap for improvement in a standardized way.Design/methodology/approachThis paper systematically reviews and synthesizes the existing literature-related to data science and 183 practitioners' considerations by employing a survey-based research method. By blending the findings of this research with a well-established process capability maturity model standard, International Organization for Standardization/International Electrotechnical Commission (ISO/IEC) 330xx, and following a methodological maturity development framework, a theoretically grounded model, entitled as the data science capability maturity model (DSCMM) was developed.FindingsIt was found that organizations seek a capability/maturity model standard to evaluate and improve their current data science capabilities. To close this research gap, the DSCMM is developed. It consists of six capability maturity levels and twenty-seven processes categorized under five process areas: organization, strategy management, data analytics, data governance and technology management.Originality/valueThis paper validates the need for a process capability maturity model for the data science domain and develops the DSCMM by integrating literature findings and practitioners' considerations into a well-accepted process capability maturity model standard to continuously assess and improve the maturity of data science capabilities of organizations.

A capability maturity model for assessment of active learning in higher education

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fernanda Gobbi de Boer Garbin ◽  
Carla Schwengber ten Caten ◽  
Diego Augusto de Jesus Pacheco
Keyword(s):  
Higher Education ◽  
Active Learning ◽  
Stem Education ◽  
Teaching And Learning ◽  
Learning Processes ◽  
Capability Maturity Model ◽  
Maturity Model ◽  
Content Type ◽  
Capability Maturity ◽  
Traditional Pedagogy

PurposeAlthough active learning methodologies are recognized as an effective means to achieve expected educational demands, in practice, the teaching and learning processes are still widely characterized by traditional pedagogy aspects. As a result, teaching innovations in science, technology, engineering and math (STEM) education are carried out in isolation in specific disciplines, programs or departments. To addresses these challenges and to stimulate useful teaching innovations, this study aims to propose the capability maturity model to active learning (CMMAL) for assessing the maturity level of active learning methodologies in higher education institutions (HEIs).Design/methodology/approachThe CMMAL provides inputs for planning and decision-making, identifying variables such as the current state of teaching and learning processes, project management, team development, allocation of resources and infrastructure and the choice of evaluation and assessment methods. From the relevant literature, the primary aspects that impact on active learning were identified and incorporated into the structure of the model. Next, a survey was performed with 295 STEM professors and experts validating the scope of the model proposed.FindingsThe findings demonstrated the contribution of the CMMAL mainly to (1) assess the maturity levels of active methodologies in higher education and (2) stimulate the institutionalization of active learning practices in HEIs to minimize some problems related to the dissemination of new teaching practices.Practical implicationsThe primary practical and academic contribution of our study is the proposition of an artifact with a scope compatible with the need of the HEIs for the implementation of active learning methodologies. This paper presents a different perspective of current literature in active learning in STEM education, introducing a model that contributes to open the dialogue with HEIs interested in better understand and improve the performance in student-centered pedagogy.Originality/valueThe model also informs and leads to specific recommendations for HEIs seeking to enhance the performance of and alter the culture around active learning methodologies.

A proposal of intellectual capital maturity model (ICMM) evaluation

2019 ◽  
Vol 20 (2) ◽  
pp. 208-234 ◽  
Author(s):  
Caroline Rodrigues Vaz ◽  
Paulo Mauricio Selig ◽  
Claudia Viviane Viegas
Keyword(s):  
Literature Review ◽  
Intellectual Capital ◽  
Web Of Science ◽  
Maturity Model ◽  
Content Type ◽  
Capability Maturity ◽  
Further Development ◽  
Practical Implications ◽  
Engineering Institute

Purpose The purpose of this paper is to propose a model to evaluate the degree of intellectual capital (IC) maturity into organizations. Design/methodology/approach This is a qualitative, applied research designed as an exploratory and descriptive investigation. It employs a case study to apply the intellectual capital maturity model, which is developed from the literature review. The Proknow-C method of systematic literature review is the procedure adopted for the literature review in Scopus, Science Direct and Web of Science databases. In total, 21 IC constructs were derived from such review and assessed by 18 reviewers (judges). Findings In the scientific literature, IC is mainly viewed as a resource or set of resources an organization for the creation of competitive advantage and value. Using the information gathered about different views on IC, this study proposes a construction of the theoretical model, based on the models of the capability maturity model–Software Engineering Institute and Asian Productivity Organization–Knowledge Management, the management model and the application protocol. Practical implications This research offers view on the nature of the concept of IC showing (IC) as a business asset through maturity scale. The analysis of the concept of IC is focused at organizational and dimensional levels. Originality/value This study contributes to the further development of the concept of IC regarding its measurement in organizations through the maturity scale.

Supplier Capability Maturity Model - Case Study at DivgiWarner

2011 ◽  
Author(s):  
Dipak Annasaheb Vani ◽  
Ashwin koppikar ◽  
Manjunath Aribenchi
Keyword(s):  
Capability Maturity Model ◽  
Maturity Model ◽  
Model Case ◽  
Capability Maturity

Cybersecurity workforce in railway: its maturity and awareness

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ravdeep Kour ◽  
Ramin Karim
Keyword(s):  
Positive Impact ◽  
Secondary Data ◽  
Primary Data ◽  
Maturity Model ◽  
Railway Transportation ◽  
Content Type ◽  
Capability Maturity ◽  
Railway System ◽  
And Training

PurposeThe purpose of this research paper is to evaluate and estimate the cybersecurity maturity and awareness risk for workforce management in railway transportation by using Railway-Cybersecurity Capability Maturity Model (R-C2M2) and Information Security Awareness Capability Model (ISACM), respectively.Design/methodology/approachThis research uses a case study strategy, so primary data comprise the majority of data collected. These data were collected through interviews and questionnaires. The secondary data were collected from the literature, technical reports and standards.FindingsThe results show that there is a gap in cybersecurity awareness within the workforce and there is a need to improve this gap. This paper provides some of the recommendations and literature to enhance cybersecurity workforce culture within railway organizations.Practical implicationsIn this paper, the authors have demonstrated that cybersecurity awareness has positive impact on the overall dependability of the railway system.Originality/valueThis paper describes the importance of cybersecurity awareness and training in building more cyber resiliency across the operation and maintenance of railway.

Alternative classification framework for engineering capability enhancement

2015 ◽  
Vol 27 (1) ◽  
pp. 68-90 ◽  
Author(s):  
Mana Patamakajonpong ◽  
Tirapot Chandarasupsang
Keyword(s):  
Quality Improvement ◽  
Human Resource Development ◽  
Human Resource ◽  
Resource Development ◽  
Capability Maturity Model ◽  
Maturity Model ◽  
Maturity Level ◽  
Content Type ◽  
Capability Maturity ◽  
The Individual

Purpose – This paper aims to present an alternative practical framework to classify the skill and knowledge of the individual trainees by comparing it with the expert in an organization. This framework gives the benefit to the organization in order to know the ability level of the personnel and to be able to provide the personnel development method both in academic learning and workplace learning. Design/methodology/approach – This research develops the framework based on relevant methodologies. Competency-Based Development is applied to investigate the knowledge and skill of the specific task. Knowledge Engineering is used to capture the experiences and construct knowledge model from relevance parties. Capability Maturity Model is then adapted to develop the capability and maturity level of the personnel. It can then be used to cluster the knowledge and skill. Finally, the Substation Maintenance Department of Provincial Electricity Authority (PEA), Thailand, is selected as a case study to test the proposed framework. Findings – The results have shown that the proposed framework can be utilized to identify the capability level of the individual personnel. Furthermore, the appropriate maturity development of the employees in each level can also be identified. This proposed framework provides better results when comparing to the current PEA competency model, as the criteria in this framework are systematically derived from experts rather than relying solely on the proficiency level. Although, this framework was tested with the switchgear maintenance task, the results and its systematic approach have indicated that it can also be used to develop the capability maturity model for other fields of work. Originality/value – The main originality of this research is the proposed competency analysis table, which integrates human resource development with knowledge management, risks management and management information system. Rather than performing these tasks separately for continuous quality improvement, organization can practically plan and perform the quality improvement-related tasks spontaneously. Moreover, the application of the capability maturity model to classify knowledge and skill of the maintenance tasks into maturity level is another academic value presented in this paper. The proposed framework gives the benefit to organization to classify the capability of the personnel. This is potentially beneficial to the human resource development personnel than traditional methods in the sense that it provides the information on how to develop the specific skill of the employees.

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