scholarly journals Risk Management Maturity Model for Logistic Processes

2021 ◽  
Vol 13 (2) ◽  
pp. 659
Author(s):  
Agnieszka A. Tubis ◽  
Sylwia Werbińska-Wojciechowska

Recently, the maturity models for risk management are attracting growing attention. The obtained maturity level defines an assessment of an organization’s management competence. Therefore, as a set of various tools and practices, the maturity model is critical for a company’s overall risk maintenance strategy development and implementation. Thus, the purpose of this article is to present a model for risk management maturity for logistic processes. We investigated the main defined assessment areas for risk maturity model implementation in logistic systems. Based on research findings, we introduced a new risk maturity assessment area based on participation in the supply chain—cooperation at risk. The proposed model constitutes the base for a two-stage assessment method implementation, where the global maturity index is introduced. Finally, we implement the proposed two-stage assessment method to verify the proposed model’s diagnostic function and determine its labor intensity. The study confirmed that the five defined maturity areas (knowledge, risk assessment, process risk management, cooperation at risk, and risk monitoring) provide a complex diagnostic tool for risk maturity level identification and, based on the obtained results, allows to define an appropriate development strategy for a given decision-making environment.


2014 ◽  
Vol 7 (2) ◽  
pp. 263-284 ◽  
Author(s):  
Budi Hartono ◽  
Deo F.N. Wijaya ◽  
Hilya M. Arini

Purpose – The purpose of this paper is to develop and to empirically verify a model of project risk management maturity (PRMM). Design/methodology/approach – Theoretical work to develop the initial model of risk maturity. Empirical study by a cross-sectional survey to the Indonesian construction industry. Findings – A new model of PRMM is developed and empirically tested. The model is valid (face validity, content validity, discriminant validity, convergent validity, and criterion validity) and reliable. Research limitations/implications – A more comprehensive, follow-up study is required to gain more insights on the actual maturity level of Indonesian construction industry. Practical implications – The model is applicable to assess the organizational maturity level which in turn could be used for improving organization performance. Originality/value – The work demonstrates a novel approach in developing models by emphasizing on the empirical verification.



2014 ◽  
Vol 8 (3) ◽  
pp. 335-356 ◽  
Author(s):  
Andreiwid Sheffer Corrêa ◽  
Alexandre de Assis Mota ◽  
Lia Toledo Moreira Mota ◽  
Pedro Luiz Pizzigatti Corrêa

Purpose – The purpose of this study is to present a system called NEBULOSUS, which is a fuzzy rule-based expert system for assessing the maturity level of an agency regarding technical interoperability. Design/methodology/approach – The study introduces the use of artificial intelligence and fuzzy logic to deal with the imprecision and uncertainty present in the assessment process. To validate the system proposed and demonstrate its operation, the study takes into account the Brazilian technical interoperability maturity model, based on the Brazilian Government Interoperability Framework (GIF). Findings – With the system proposed and its methodology, it could be possible to increase the assessment process to management level and to provide decision-making support without worrying about technical details that make it complex and time-consuming. Moreover, NEBULOSUS is a standalone system that offers an easy-to-use, open and flexible structuring database that can be adapted by governments throughout the world. It will serve as a tool and contribute to governments’ expectations for continuous improvement of their technologies. Originality/value – This study contributes toward filling a gap in general interoperability architectures, which is a means to provide an objective method to evaluate GIF adherence by governments. The proposed system allows governments to configure their technical models and GIF to assess information and communication technology resources.



Algorithms ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 115
Author(s):  
Mohammadjavad Arabpour Roghabadi ◽  
Osama Moselhi

Risk maturity evaluation is an efficient tool which can assist construction organizations in the identification of their strengths and weaknesses in risk management processes and in taking necessary actions for the improvement of these processes. The accuracy of its results relies heavily on the quality of responses provided by participants specialized in these processes across the organization. Risk maturity models reported in the literature gave equal importance to participants’ responses during the model development, neglecting their level of authority in the organization as well as their level of expertise in risk management processes. Unlike the existing models, this paper presents a new risk maturity model that considers the relative importance of the responses provided by the participants in the model development. It considered their authority in the organization and their level of involvement in the risk management processes for calculating the relative weights associated with the risk maturity attributes. It employed an analytic network process (ANP) to model the interdependencies among the risk maturity attributes and utilizes the fuzzy set theory to incorporate the uncertainty associated with the ambiguity of the responses used in the model development. The developed model allows the construction organizations to have a more accurate and realistic view of their current performance in risk management processes. The application of the developed model was investigated by measuring the risk maturity level of an industrial partner working on civil infrastructure projects in Canada.





2018 ◽  
Vol 13 (4) ◽  
pp. 31-49
Author(s):  
Simon Hart ◽  
Howard Amos

Abstract Objective – This paper presents a Library Assessment Capability Maturity Model (LACMM) that can assist library managers to improve assessment. The process of developing the LACMM is detailed to provide an evidence trail to foster confidence in its utility and value. Methods – The LACMM was developed during a series of library benchmarking activities across an international network of universities. The utility and value of the LACMM was tested by the benchmarking libraries and other practitioners; feedback from this testing was applied to improve it. Guidance was taken from a procedures model for developing maturity models that draws on design science research methodology where an iterative and reflective approach is taken.  Results – The activities decision making junctures and the LACMM as an artifact make up the results of this research. The LACMM has five levels. Each level represents a measure of the effectiveness of any assessment process or program, from ad-hoc processes to mature and continuously improving processes. At each level there are criteria and characteristics that need to be fulfilled in order to reach a particular maturity level. Corresponding to each level of maturity, four stages of the assessment cycle were identified as further elements of the LACMM template. These included (1) Objectives, (2) Methods and data collection, (3) Analysis and interpretation, and (4) Use of results. Several attempts were needed to determine the criteria for each maturity level corresponding to the stages of the assessment cycle. Three versions of the LACMM were developed to introduce managers to using it. Each version corresponded to a different kind of assessment activity: data, discussion, and comparison. A generic version was developed for those who have become more familiar with using it. Through a process of review, capability maturity levels can be identified for each stage in the assessment cycle; so too can plans to improve processes toward continuous improvement. Conclusion – The LACMM will add to the plethora of resources already available. However, it is hoped that the simplicity of the tool as a means of assessing assessment and identifying an improvement path will be its strength. It can act as a quick aide-mémoire or form the basis of a comprehensive self-review or an inter-institutional benchmarking project. It is expected that the tool will be adapted and improved upon as library managers apply it.



2021 ◽  
Vol 15 (2) ◽  
pp. 235-241
Author(s):  
Hans Thomas Maier ◽  
Oliver Schmiedbauer ◽  
Hubert Biedermann

With the comprehensive Lean Smart Maintenance philosophy and its associated maturity model, organisations were given a tool to reach asset and maintenance excellence. This paper discusses the approach used to transfer the scientifically based methods and concepts of the Lean Smart Maintenance Maturity Model into an assessment structure to generate a generic tool to collect the complete and correct information necessary to determine an organisation's maturity level. Research results show that a standardised assessment process combined with continuous improvement cycles, a more accurate assessment of the company's maturity is possible. A well-structured MM assessment supports less experienced assessors whereby experienced assessors will not need a full questionnaire but only a well-structured list of items and their maturity levels.



2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ingrid Saiala Cavalcante de Souza Feitosa ◽  
Luiz Cesar Ribeiro Carpinetti ◽  
Adiel Teixeira de Almeida-Filho

PurposeThe purpose of this paper is to propose a supply chain risk management (SCRM) maturity model combined with a fuzzy TOPSIS classification method to evaluate and sort an organization into a pre-defined maturity level.Design/methodology/approachAn axiomatic and prescriptive research method guided this study. Therefore, it proposes a prescriptive approach of maturity classification based on a theoretical SCRM maturity model combined with a multi-criteria decision technique.FindingsThe results of a pilot application indicated a consistent classification and the value of the model for diagnosing flaws and pointing directions for improving operational and disruption risk management. Its comprehensiveness allows applying it to supply chains of several industry sectors.Research limitations/implicationsThe proposed model does not include all possible risks and could be revised in further developments. Also, adjustment of the maturity profiles of the multi-criteria decision-making (MCDM) model requires a learning process from practical applications.Practical implicationsThe adoption of the risk management maturity grid by practitioners may bring the benefit of a more objective and comprehensive evaluation of risk management processes in the supply chain context.Social implicationsAn immediate social implication derives from the improvement actions that may result from the diagnosis of risk management vulnerabilities identified in the pilot application. In general, the proposed model has the potential to reduce risks, improve results and contribute to economic sustainability.Originality/valueThe maturity grid and decision model integrate overall aspects of risk management, bringing together managerial concepts to deal with a variety of supply chain operational risks. The combined multi-criteria classification procedure to sort the maturity level of an organization is also a novelty.



2021 ◽  
Vol 2 (Issue 1 (January to March 2021)) ◽  
pp. 23-32
Author(s):  
Moreblessing Ngwenya ◽  
Sam Ngwenya

Enterprise Risk Management (ERM) has become a necessity in the financial sector to fulfil stakeholder expectations. Studies confirm that ERM impacts positively on the performance of firms. The main objective of the study was to assess ERM maturity levels of the insurance industry in Botswana. This was achieved through first designing a framework to measure enterprise risk management maturity levels. The ERMMF incorporated elements from COSO’s ERM framework and the AON risk maturity model obtained through literature review. Data were sourced from four strata; 9 long term insurance companies (15 respondents), 11 short-term insurance companies (19 respondents), 3 reinsurers (5 respondents), and 44 brokerages (75 respondents). While all organisations in the population were used, a sample of 114 out of possible 134 respondents was used. Data were analysed using SPSS version 16. The findings revealed that the insurance industry in Botswana had somewhat implemented ERM. It is therefore recommended that the insurance industry in Botswana should take ERM as a continuous process for growth in ERM maturity levels as such an improvement is highly likely to enhance their performance.



Author(s):  
R E McQuater ◽  
B G Dale ◽  
R J Boaden ◽  
M Wilcox

There are a number of critical factors which need to be in place for the effective use and successful application of quality management techniques and tools (QMT&T). These ‘success’ factors may be classified into four categories: the role of the technique or tool in the improvement process, organization and infrastructure, data collection and the use and application of the tool or technique. Each of the categories are subject to influences, defined as experience, management, resources, education and training. It is these influences that create the issues and difficulties associated with the techniques and tools. Their effects may be minimal in isolation, but, when accumulated, may have a profound adverse influence on the successful use and application of QMT&T. Based on the outcome of the investigation described in the paper, guidelines for the effective use of QMT&T have been produced. When used in conjunction with the UMIST Quality Technique and Tool Assessment Method (UMIST QAM), the guidelines will provide organizations with the means of determining how the various influences manifest themselves in their own operating environments and will act as pointers for tackling them. This form of assessment process may also help organizations to realize the potential difficulties and issues that arise in areas such as new product development or strategy development, thereby aiding the continuous improvement process.



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