Human Digital Transformation Readiness

2022 ◽  
pp. 16-30
Author(s):  
Ota Novotný ◽  
Martin Potančok ◽  
Vladimír Krajčík

Digital transformation can effectively support innovative strategic planning. However, it is necessary to realise that the digital ecosystem produces enormous volumes of data and creates unique requirements for working with it. Due to this, data needs to be integrated into the mindset and decision-making processes properly. The proposed solution is based on an analysis of digital transformation readiness models, analyses of the status of data and data literacy in the models and their extensions, a definition of the levels of readiness that need to be achieved, and preparation of educational programs for the enhancement of human digital transformation readiness from the mindset and skillset perspective. The main outputs of the chapter correspond to the problem and the suggested solution. They include the human digital transformation readiness index based on the capability maturity model (CMM), required mindset, and skillset, taking into account the digital and data literacy of the participants of innovation activities.

2019 ◽  
Vol 26 (4) ◽  
Author(s):  
Lígia de Oliveira Franzosi ◽  
Carla Cristina Amodio Estorilio

Abstract Food companies have been seeking certification of their Product Development Processes (PDP) as a symbol of quality, however, few are prepared to obtain it. One of the hypotheses is that some companies are not mature enough to obtain this certification and maintain it in the long term. To guarantee the product quality, it is important that all the activities responsible for the PDP are aligned, integrated, measured and controlled, thus characterizing the PDP maturity. Therefore, the aim of this work is to analyze the PDP maturity level of the food industry to identify the compatibility with the situation of their Quality Certifications. For this, an adapted method of the Capability Maturity Model Integration (CMMI) is used to measure the company’s maturity, seeking also to identify the status of their certifications. Information was collected from five companies in the food industry, which presented consistency between their certifications and maturity levels; four are level 1 and have no certification and one is level 2 and is certified by the International Organization for Standardization (ISO)


Buildings ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 645
Author(s):  
Millicent Asah-Kissiedu ◽  
Patrick Manu ◽  
Colin Anthony Booth ◽  
Abdul-Majeed Mahamadu ◽  
Kofi Agyekum

Safety, health and environmental (SHE) management is becoming a priority as construction companies (i.e., contractors) strive to reduce construction accidents and negative environmental impacts, conform to regulatory requirements, and sustain their competitiveness. Consequently, construction firms are expected to adopt and implement innovative SHE management systems to mitigate SHE risks effectively and efficiently. For construction firms to effectively do this, they need to have the adequate capability in respect of integrated SHE management. However, there is limited empirical insight regarding the integrated SHE management capabilities of construction companies. Furthermore, there is limited insight regarding the mechanisms for ascertaining the integrated SHE management capability of construction companies to guide such organisations towards SHE management excellence in their operations. Drawing on the capability maturity model integration (CMMI) concept, this study, by applying expert reviews (i.e., Delphi technique and the design methodology for capability maturity grids), developed an integrated Safety, Health and Environmental Management Maturity Model (iSHEM-CMM). The model offers capability maturity assessment on a five-level scale within five thematic categories and 20 integrated SHE management capability attributes. Based on an industrial validation by construction professionals, it is concluded that the maturity model is a useful assessment framework or tool for industry stakeholders, particularly construction firms, to evaluate the status of their current SHE management capabilities, identify strengths and improvement areas, and accordingly prioritise strategies/actions for improving their SHE management. Furthermore, clients who appoint construction companies could use the model as part of prequalification arrangements in selecting construction companies with an adequate SHE management capability.


2017 ◽  
Vol 7 (1.1) ◽  
pp. 290
Author(s):  
B Chaitanya Krishna ◽  
A Yeshwanth Srinath ◽  
N Bhavani ◽  
G Jaya Sai

Capability Maturity Model Integration is the best proposed theory for software quality assurance. Implementing the agile methods linking to Capability Maturity Model Integration and presenting the software. Basically Scrum is one of the best implemented methods. We will link the scrum to CMMI level managed to the scrum methods and define software quality.This Application totally involves with Consumer or customer behaviour while shopping an Item.Seller Companies analyzes this behaviour in order to rate their product or increase the sales of the product. Every Product selling company need to know about market analysis of their product. This project is proposed to provide market analysis of the each product to the seller companies with interaction of the customer purchases. Now days because of increase in media and internet, shopping items through online is increased. Seller companies need to rank their products and they need to administrate products in their companies , that is few products they want to retain, few they have delete/stopbut in order to stop or promote a product they need to know about product status in the market. With survey sites sometimes it may fake results. To overcome such kind of drawbacks, this project is proposed, this project directly estimates the behaviour of customer, in search, and buy a product. The result given this project is useful for company to estimate the status of the project in the market.


2021 ◽  
Author(s):  
Blaž Gašperlin ◽  

Digital transformation has brought about a rapid shift towards a completely digital enterprise, generating a huge amount of data. Most small and medium-sized enterprises (SMEs) have data stored in different places, formats, and systems, or are unaware that it exists (Dark Data). While digital technologies are at the root of rapid data growth within and outside organizations, sharing and exchanging data between organizations presents an additional challenge. We argue that one of the barriers to the successful digital transformation of SMEs is data immaturity. The concept of data maturity has been addressed from different aspects (data quality, governance,...), in specific domains (supply chain management, manufacturing companies,...) and from the perspective of the Capability Maturity Model. However, there has been no study that has addressed a comprehensive assessment of data maturity for the SME sector as a multi-criteria problem. In this research, we propose to combine the ideas of maturity models and multicriteria decision modeling by using a design science research approach. The developed model will help SMEs assess their data maturity level and help them understand what aspects of data maturity they need to advance, what steps they need to take, and how to evaluate their progress


2014 ◽  
Vol 4 (1) ◽  
Author(s):  
Padma Tripathi

The present study was conducted to examine the implementation of PCMM in the Indian IT Industry by analyzing the perceptions of managers regarding the reasons for PCMM implementation, people related issues and benefits of PCMM. The objectives of the study were to gain a conceptual understanding of PCMM, to examine the methods and application of PCMM in IT industry and to gain an overview of the dissemination of PCMM on organizational field by focusing on the implementation of PCMM in organizations, and its impact on the effectiveness of people management and the overall business. Based on the findings of literature review a questionnaire was developed using Google Docs. Subjects of this study were managers belonging to middle and higher managerial positions of various IT companies with PCMM certification ranging from Level 2 to Level 5. The data collected was then analyzed using statistical tools like SPSS and Microsoft Excel. The survey brought out that the reasons for PCMM certification do not vary significantly across IT companies. The Level of PCMM to which an employee’s organization belonged had a significant impact on his/her perception of factors leading to success of IT projects. Reducing turnover was rated as the most prevalent issue followed by overcoming low morale and burnout, and identifying competencies. Integrating workforce development with process improvement was ranked as the most important benefit of PCMM implementation.


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