scholarly journals CHALLENGES OF ADVANCED ANALYTICS MATURITY MODEL DEVELOPMENT

2021 ◽  
Vol 2 ◽  
pp. 88-92
Author(s):  
Santa Lemsa
Keyword(s):  
Decision Making ◽  
Action Plan ◽  
Model Development ◽  
Professional Experience ◽  
Maturity Model ◽  
Process Automation ◽  
Maturity Level ◽  
Maturity Models ◽  
Advanced Analytics ◽  
Automated Decision Making

Significance to understand the advanced analytics ecosystem maturity is increasing caused by constantly growing data volumes and demand for advanced analytics including automated decision making based on data or process automation. The analytics maturity assessment helps to identify strengths and weaknesses of the organization’s analytics ecosystem and can provide detailed action plan to move to the next level. The focus of the paper is to review and analyse analytics maturity models to assess their application as frame to build a new analytics maturity model or replicate with time adjustment any of reviewed models. The literature review and publicly available assessment models provided by analytics sector were used to review and analyse analytics maturity models.  Fifteen models were reviewed and four of them analysed by twelve characteristics. Summary of four models includes analytics maturity levels, domains, accessibility of questionnaire, discloser of maturity level detection and authors assessment of several characteristics. Comprehensive descriptions of analytics maturity levels were available for many models. Solid recommendation sets for each maturity level provided for the most disclosed models. One of the most important components, approach to detect specific maturity level, was not transparent or disclosed with limitations. However, it is possible to develop a new model or replicate in some extent based on models reviewed in this paper, but it requires extensive professional experience in advanced analytics and related functions. 

scholarly journals Architecting an Advanced Maturity Model for Business Processes in the Gig Economy: A Platform-Based Project Standardization

Economies ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 176
Author(s):  
Arfive Gandhi ◽  
Yudho Giri Sucahyo
Keyword(s):  
Business Processes ◽  
Empirical Test ◽  
Model Development ◽  
Three Dimensions ◽  
Business Continuity ◽  
Maturity Model ◽  
Maturity Level ◽  
Gig Economy ◽  
Development Phases ◽  
Target Platform

The business continuity of the gig economy is strongly driven by the operator’s ability to manage the maturity of business processes. Moreover, projects in the gig economy are risky due to the lack of monitoring and involvement of actors’ profiles. When business processes become mature as the target, platform-based project results can satisfy actors’ expectations. To reach targeted maturity, operators need to standardize their business processes. This standardization is actualized in a maturity model as a benchmark and guideline tool. It exposes how mature the current business processes are and the required improvements. This research aims to construct a maturity model systematically and comprehensively to encourage operators in the gig economy (as the model user) to improve the products and services delivered. This research has constructed a new maturity model for business processes using the maturity model development phases initiated by de Bruin et al. It explores the gig economy ecosystem in Indonesia. This research initiates the maturity model by collecting 48 factors in the gig economy. It continues by composing 13 determinant candidates as representations of the factors. After an empirical test involving 200 people (consisting of gig worker, client, and operator) and two iterations of mixed-method validation involving 16 experts, this research generates ten determinants classified into three dimensions: actors, platforms, and transactions. The maturity level of each determinant is measured to indicate its position toward digital business continuity.

scholarly journals Artificial intelligence maturity model: a systematic literature review

2021 ◽  
Vol 7 ◽  
pp. e661
Author(s):  
Raghad Baker Sadiq ◽  
Nurhizam Safie ◽  
Abdul Hadi Abd Rahman ◽  
Shidrokh Goudarzi
Keyword(s):  
Artificial Intelligence ◽  
Systematic Approach ◽  
State Of The Art ◽  
Model Development ◽  
Significant Proportion ◽  
Maturity Model ◽  
Methodological Issues ◽  
Maturity Models ◽  
Essential Contribution ◽  
Review State

Organizations in various industries have widely developed the artificial intelligence (AI) maturity model as a systematic approach. This study aims to review state-of-the-art studies related to AI maturity models systematically. It allows a deeper understanding of the methodological issues relevant to maturity models, especially in terms of the objectives, methods employed to develop and validate the models, and the scope and characteristics of maturity model development. Our analysis reveals that most works concentrate on developing maturity models with or without their empirical validation. It shows that the most significant proportion of models were designed for specific domains and purposes. Maturity model development typically uses a bottom-up design approach, and most of the models have a descriptive characteristic. Besides that, maturity grid and continuous representation with five levels are currently trending in maturity model development. Six out of 13 studies (46%) on AI maturity pertain to assess the technology aspect, even in specific domains. It confirms that organizations still require an improvement in their AI capability and in strengthening AI maturity. This review provides an essential contribution to the evolution of organizations using AI to explain the concepts, approaches, and elements of maturity models.

scholarly journals Research IT maturity models for academic health centers: Early development and initial evaluation

1900 ◽  
Vol 2 (5) ◽  
pp. 289-294 ◽  
Author(s):  
Boyd M. Knosp ◽  
William K. Barnett ◽  
Nicholas R. Anderson ◽  
Peter J. Embi
Keyword(s):  
Model Development ◽  
Data Access ◽  
Health Science ◽  
Health Centers ◽  
Academic Health Centers ◽  
Maturity Model ◽  
Maturity Models ◽  
Academic Health ◽  
It Systems ◽  
Technological Advances

AbstractThis paper proposes the creation and application of maturity models to guide institutional strategic investment in research informatics and information technology (research IT) and to provide the ability to measure readiness for clinical and research infrastructure as well as sustainability of expertise. Conducting effective and efficient research in health science increasingly relies upon robust research IT systems and capabilities. Academic health centers are increasing investments in health IT systems to address operational pressures, including rapidly growing data, technological advances, and increasing security and regulatory challenges associated with data access requirements. Current approaches for planning and investment in research IT infrastructure vary across institutions and lack comparable guidance for evaluating investments, resulting in inconsistent approaches to research IT implementation across peer academic health centers as well as uncertainty in linking research IT investments to institutional goals. Maturity models address these issues through coupling the assessment of current organizational state with readiness for deployment of potential research IT investment, which can inform leadership strategy. Pilot work in maturity model development has ranged from using them as a catalyst for engaging medical school IT leaders in planning at a single institution to developing initial maturity indices that have been applied and refined across peer medical schools.

scholarly journals Assessment of maturity of reverse logistics as a strategy to sustainable solid waste management

2020 ◽  
Vol 38 (1_suppl) ◽  
pp. 65-76 ◽  
Author(s):  
Claudia C Peña-Montoya ◽  
Marina Bouzon ◽  
Patricia Torres-Lozada ◽  
Carlos Julio Vidal-Holguin
Keyword(s):  
Decision Making ◽  
Waste Management ◽  
Solid Waste ◽  
Reverse Logistics ◽  
Solid Waste Management ◽  
Decision Making Process ◽  
Maturity Model ◽  
Maturity Models ◽  
Production Processes ◽  
Holistic Vision

Small- and medium-sized enterprises primarily focus on their operations and rarely pay attention to issues related to sustainable solid waste management that originate from their production processes. A suitable strategy to support sustainable solid waste management is reverse logistics. Through the use of maturity models, it is possible to determine the grade to which small- and medium-sized enterprises are prepared to perform this strategy. This study proposes an adapted maturity model to measure maturity levels of reverse logistics aspects at small- and medium-sized enterprises in regions from Colombia in order to contribute to sustainable solid waste management. The maturity model was applied to seven small- and medium-sized enterprises in the plastics sector in the central and southern regions of Colombia by adapting a maturity model that was previously correlated to suggested drivers and barriers in this sector. Results show that maturity levels range from naïve to immature owing to the incipient development of reverse logistics in Colombia. Therefore, it is necessary to establish a holistic vision of the organisation to improve the reverse logistics decision-making process to achieve sustainable solid waste management.

scholarly journals An Overlapless Incident Management Maturity Model for Multi-Framework Assessment (ITIL, COBIT, CMMI-SVC)

10.28945/4083 ◽  
2018 ◽  
Vol 13 ◽  
pp. 137-163 ◽  
Author(s):  
João Aguiar ◽  
Ruben Pereira ◽  
José Braga Vasconcelos ◽  
Isaias Bianchi
Keyword(s):  
Design Science ◽  
Science Research ◽  
The Body ◽  
Future Research ◽  
Incident Management ◽  
Maturity Model ◽  
Maturity Level ◽  
Structured Interviews ◽  
Maturity Models ◽  
The One

Aim/Purpose: This research aims to develop an information technology (IT) maturity model for incident management (IM) process that merges the most known IT frameworks’ practices. Our proposal intends to help organizations overcome the current limitations of multiframework implementation by informing organizations about frameworks’ overlap before their implementation. Background: By previously identifying frameworks’ overlaps it will assist organizations during the multi-framework implementation in order to save resources (human and/or financial). Methodology: The research methodology used is design science research (DSR). Plus, the authors applied semi-structured interviews in seven different organizations to demonstrate and evaluate the proposal. Contribution: This research adds a new and innovative artefact to the body of knowledge. Findings: The proposed maturity model is seen by the practitioners as complete and useful. Plus, this research also reinforces the frameworks’ overlap issue and concludes that some organizations are unaware of their actual IM maturity level; some organizations are unaware that they have implemented practices of other frameworks besides the one that was officially adopted. Recommendations for Practitioners: Practitioners may use this maturity model to assess their IM maturity level before multi-framework implementation. Moreover, practitioners are also incentivized to communicate further requirements to academics regarding multi-framework assessment maturity models. Recommendation for Researchers: Researchers may explore and develop multi-frameworks maturity models for the remaining processes of the main IT frameworks. Impact on Society: This research findings and outcomes are a step forward in the development of a unique overlapless maturity model covering the most known IT frameworks in the market thus helping organizations dealing with the increasing frameworks’ complexity and overlap. Future Research: Overlapless maturity models for the remaining IT framework processes should be explored.

scholarly journals Measuring e-Government Maturity: A meta-synthesis approach

SEEU Review ◽  
2015 ◽  
Vol 11 (2) ◽  
pp. 51-67 ◽  
Author(s):  
Agron Chaushi ◽  
Blerta Abazi Chaushi ◽  
Florije Ismaili
Keyword(s):  
Decision Making ◽  
Developing Countries ◽  
Decision Making Process ◽  
Maturity Model ◽  
Maturity Models ◽  
The World ◽  
Comparative Results ◽  
The Right ◽  
Government Initiative ◽  
Synthesis Approach

Abstract Many governments in the world have created e-government initiatives including developed and developing countries. In order to better understand e-government evolution, different maturity models have been developed by many authors. In this paper the most cited e-government maturity models are analyzed using the meta-synthesis approach. As a result, five stages of e-government maturity are identified. The comparative results show the supported stages by each e-government initiative as important elements in the decision making process. This paper is attempting to show that although there are many models for measuring e-government maturity, they all converge on one common model. The contribution of this paper is in simplifying work for researchers when choosing the right maturity model.

Development of an Industry 4.0 maturity model for the delivery process in supply chains

2018 ◽  
Vol 13 (4) ◽  
pp. 840-883 ◽  
Author(s):  
Björn Asdecker ◽  
Vanessa Felch
Keyword(s):  
Supply Chain ◽  
Industry 4.0 ◽  
Reference Model ◽  
Design Science ◽  
Model Development ◽  
Science Research ◽  
Maturity Model ◽  
Maturity Models ◽  
Content Type ◽  
The Status

Purpose This paper aims to show that current Industry 4.0 maturity models primarily focus on manufacturing processes. Until now, research has been lacking with regard to outbound logistics, that is, the delivery process. This paper develops such a model. Design/methodology/approach Methodologically, this paper is grounded in design science research (DSR) and rigorously follows the model development guidelines presented by De Bruin et al. (2005). This work builds on current maturity models and original empirical research to populate and test the model. Findings The model appears to be applicable to describing the status quo of the digitization efforts in outbound logistics, developing a corporate vision for delivery logistics excellence and providing guidance on the development path. Research limitations/implications Thus far, the model has been applied only for a development stakeholder. For further validation, the authors are currently working on additional case studies to demonstrate the model’s applicability. Practical implications The developed model provides guidance for the digitization of an important value-adding activity in supply chain management: the delivery process. Originality/value To the authors’ knowledge, the proposed model is the first to explicitly consider the delivery process; therefore, it complements available approaches that focus on the manufacturing process. Moreover, the results show that the widely used Supply Chain Operations Reference model can serve as the basis for additional process maturity models.

scholarly journals ASSESSING ANALYTICS MATURITY LEVEL IN THE INDONESIAN TAX ADMINISTRATION: THE CASE OF COMPLIANCE RISK MANAGEMENT

Scientax ◽  
2021 ◽  
Vol 2 (2) ◽  
pp. 199-217
Author(s):  
Gitarani Prastuti ◽  
Lasmin
Keyword(s):  
Tax Administration ◽  
Maturity Model ◽  
Maturity Level ◽  
Process Maturity ◽  
Compliance Management ◽  
Analytic Process ◽  
Economic Background ◽  
Directorate General ◽  
Advanced Analytics ◽  
Further Development

Using Grossman (2018)’s Analytic Process Maturity Model (APMM) Framework, we examine the maturity level of advanced analytics development related to taxpayer compliance management in the Indonesian Tax Administration, Directorate General of Taxes (DGT). The framework helps to indicate room for improvement within revenue bodies to allow the organisation to become more analytics-driven in dealing with the COVID-19 crisis and in the future. The results suggest that the organisation has reached a maturity level of 4.43 and capable of applying from enterprise-wide data analytics. To establish an analytics-driven organisation, remedial works are required to upgrade the current maturity level. Revenue authorities that have similarities in the economic background, compliance structure, and maturity level could acquire valuable lessons from Indonesia’s experience that could be considered in the further development of advanced analytics within taxpayer compliance management.

scholarly journals The new culture of mexican maturity: a professional development plan and strategic actions aimed at improving the maturity level on the baja californian professionals

2020 ◽  
Vol 3 (2) ◽  
Author(s):  
Octavio Pelayo Ramos ◽  
◽  
Brenda Bravo Diaz ◽  
Keyword(s):  
Project Management ◽  
Portfolio Management ◽  
Action Plan ◽  
The State ◽  
Maturity Model ◽  
Maturity Level ◽  
Strategic Actions ◽  
Level 3 ◽  
Definition Of ◽  
Applied Knowledge

A Project Management Maturity Model helps organizations measure and mature their practices in project, program and portfolio management, through the definition of knowledge improvements in their processes. In Mexico, there are states with higher growth in the development of new projects, as has been seen in the last 20 years in the state of Baja California Norte. The national observatory reported that “the population of professionals in the state reached 305,374 people”(SNE, 2020). Therefore, it is intended to know if this sector of the population knows or applies any maturity model in their work.Therefore, a new maturity model is proposed that combines the strengths of the best-known models in the literature and proposes a plan of strategic actions aimed at maturity. The level of maturity of project management and individual, group and institutional competencies of this population in the state was analyzed by means of a multidimensional survey. To check its validity, exploratory factor analysis was applied. Knowledge in project management processes was found to have maturity level 3. However, the mission, vision and institutional competencies barely reached a level 2. Which suggests that the BajaCalifornian managements should work on these aspects. The new culture proposes an action plan that aligns with the strategies and fosters maturity in any organization

Continuous Improvement Maturity Models

2019 ◽  
Vol 10 (4) ◽  
pp. 26-38
Author(s):  
Brian J. Galli
Keyword(s):  
Continuous Improvement ◽  
Process Improvement ◽  
Maturity Model ◽  
Model Assessment ◽  
Maturity Level ◽  
Structured Interviews ◽  
Maturity Models ◽  
Skill Sets ◽  
Practice Models ◽  
A Company

Maturity models seek to enhance a business with the passage of time. The purpose is to attain a competitive advantage. Various maturity models are accessible, including the continuous improvement maturity model (CIMM). The model offers outstanding techniques and practice models in addition to tools, skill sets, and a proper mindset to process improvement. This article analyzes the need for Continuous Improvement Maturity Models in a company. Hence, the current maturity of a company cannot be indicated by this model. There is a need for progress and knowledge to combine and improve the company's level of maturity. The model assessment refers to an instrument that is research-based and assists the users to set a goal assessment of the maturity level. The purpose of designing this model is for it to be utilized by any manufacturing company. A series of repetitive phases are required by this instrument, and its moderations and validation are based on various case-studies and semi-structured interviews conducted with experts.

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