Maturity Scores Research Articles

Maturity Assessment of the Health Information System Using Stages of Continuous Improvement Methodology: Results From Serbia.

Since the health information system (HIS) in public health care services in Serbia was introduced in 2009, it has gradually expanded. However, it is unclear how well the HIS components have developed and the whole system's stage of maturity. In June-September 2021, a maturity assessment of the Serbian HIS was conducted for the first time using the HIS Stages of Continuous Improvement (SOCI) toolkit. The toolkit measures HIS status across 5 HIS domains: leadership and governance, management and workforce, information and communication technology (ICT), standards and interoperability, and data quality and use. The domains were further divided into 13 components and 39 subcomponents whose maturity stage was assessed on a 5-point Likert scale, indicating the level of development: (1) emerging/ad hoc; (2) repeatable; (3) defined; (4) managed; and (5) optimized. The toolkit was applied in a working group of 32 professionals and experts who were engaged in developing the new national eHealth strategy and action plan. The overall maturity score of the Serbian HIS was 1.6, which indicates a low level. The highest baseline score (2) was given to the standards and interoperability domain, and the lowest (1.1) was given to ICT infrastructure. The remaining 3 domains (leadership and governance, Management and Workforce, and Data Quality and Use) were similarly rated (1.7, 1.7, and 1.6, respectively). A baseline assessment of the maturity level of Serbian HIS indicates that the majority of components are between the emerging/ad hoc stage and repeatable, which represent isolated, ad hoc efforts, with some basic processes in place and existing and accessible policies. This exercise provided an opportunity to address identified weaknesses in the upcoming national eHealth strategy.

Expert opinion aggregation-based decision support for human-robot collaboration digital twin maturity assessment

Human-centered smart manufacturing is an essential direction for the future development of manufacturing. Safe and reliable smart human-robot collaboration is the foundation for realizing human-centered smart manufacturing. Digital twin-based human-robot collaboration has been proposed as a new manufacturing paradigm to devise collaborative strategies, simulate collaborative processes, and ensure worker safety. Establishing a maturity model is essential to accurately assess the capabilities of the constructed human-robot collaboration digital twin. This paper aims to contribute to the formalization and standardization of the human-robot collaboration digital twin. It constructs a novel assessment framework for the overall maturity measurement of existing digital twin-based human-robot collaboration projects. The developed human-robot collaboration digital twin maturity model includes 5 evaluation dimensions and 24 evaluation factors. Additionally, 5 maturity levels and their definitions are defined for each evaluation factor for maturity scoring. The expert opinion aggregation approach is proposed to quantify the evaluation factor metrics and ultimately to obtain a maturity level for the human-robot collaboration digital twin. The effectiveness and feasibility of the proposed method are verified through a collaborative assembly case study. This paper provides a generic method for assessing the competency level of human-robot collaboration digital twins, which can provide insights into the maturity of digital twins for practitioners in the human-robot collaboration field to develop targeted strategies for optimizing and upgrading human-robot collaboration digital twins.

Evaluation of Information Technology Governance Maturity Using COBIT 2019: A Case Study on the IT Security Industry

This study aims to evaluate the maturity of IT governance in the IT security industry using COBIT 2019. The assessment covered 13 COBIT 2019 domains, namely APO03—Managed Enterprise Architecture, APO07—Managed Human Resources, APO12—Managed Risk, APO13—Managed Security, APO14—Managed Data, BAI02—Managed Requirements Definition, BAI03—Managed Solutions Identification & Build, BAI05—Managed Organizational Change, BAI06—Managed IT Changes, BAI07—Managed IT Change Acceptance and Transitioning, BAI09—Managed Assets, BAI10—Managed Configuration, and BAI11—Managed Projects. The research methodology included observation, domain-based question formulation, RACI interviews, data collection, and question validation testing, with maturity calculation performed using appropriate formulas. Results indicate that most domains are at Level 2 (Managed), with significant contributions to maturity at Levels 3 and 4. Significant gaps were found between the current state and the desired maturity targets for many domains, such as APO03 and BAI03. The percentage contribution from Level 2 is the highest, while contributions from Levels 3 and 4 vary, with very low contributions from Level 5. The total maturity score is 2.49, with percentage contributions from Levels 2, 3, 4, and 5 being 74%, 26%, 11%, and 3%, respectively. Recommendations include improving processes to achieve Levels 3 and 4 across more domains and investing in training and development for relevant teams.

The Brazilian (FRANCO) method for dental age estimation: Willems' model revisited.

This study aimed (I) to test the Willems' dental age estimation method in different geographic samples of the Brazilian population, and (II) to propose a new model combining the geographic samples in a single reference table of Brazilian maturity scores. The sample consisted of 5017 panoramic radiographs of Brazilian males (n = 2443) and females (n = 2574) between 6 and 15.99 years (mean age = 10.99 ± 2.76 years). The radiographs were collected from the Southeastern (SE) (n = 2920), Central-Western (CW) (n = 1176), and Southern (SO) (n = 921) geographic regions. Demirjian's technique was applied followed by Willems' method and the proposed Brazilian model. Willems' method led to mean absolute errors (MAE) of 0.79 and 0.81 years for males and females, respectively. Root mean squared errors (RMSE) were 1.01 and 1.03 years, respectively. The Brazilian model led to MAE of 0.72 and 0.74 years for males and females, respectively, and RMSE of 0.93 years for both sexes. The MAE was reduced in 70% of the age categories. Differences between regions were statistically (p < 0.05) but not clinically significant. The new model based on a combined population had an enhanced performance compared to Willems' model and led to reference outcomes for Brazilians. Assessing patients' biological development by means of dental analysis is relevant to plan orthopedic treatments and follow up. Having a combined-region statistic model for dental age estimation of Brazilian children contributes to optimal age estimation practices.

Supraspinatus Tendon Reconstruction Versus the Bridging Technique in a Rat Model: Histological, Biomechanical, and Functional Outcomes

Background: Massive irreparable rotator cuff tears (MIRCTs) are among the most challenging shoulder conditions to treat surgically. Supraspinatus tendon reconstruction (STR) is a recently introduced technique for MIRCTs based on fascia lata-muscle interface healing, which completely differs from the classic bridging technique with fascia lata-tendon interface healing. However, histological and biomechanical comparisons of the fascia-muscle and fascia-tendon interfaces have not been performed. Purpose: To investigate the histological and biomechanical healing of the fascia-bone interface and fascia-muscle interface after chronic MIRCTs in a rat model using different surgical methods. Study Design: Controlled laboratory study. Methods: The authors established a chronic MIRCT model in the right shoulder of rats and then repaired it using the STR or bridging repair technique. Evaluations were performed at 2, 4, 8, and 12 weeks, including histological, imaging, biomechanical, and functional analyses. Results: Both techniques resulted in good fascia-bone interface healing based on the histological results. The STR group had significantly more cartilage formation at 8 and 12 weeks and higher Modified Tendon Maturity Score after 12 weeks at the fascia-bone interface compared with the bridging repair group and formed the typical 4-layered structure. Collagen fibers in the fascia-muscle and fascia-tendon interfaces exhibited normal muscle-tendon interface characteristics at 12 weeks. However, the STR group had more improvement in fatty infiltration compared with the bridging repair group. The ultimate failure load and stiffness did not differ between the STR and bridging repair groups 4 weeks postoperatively in both the fascia-bone interface and supraspinatus muscle-fascia-bone integrity. Movement distance and grasp time were significantly longer in the STR group than in the bridging repair group at 12 weeks and attached the level in the normal control groups. Conclusion: These results suggest that the fascia-muscle interface from the STR technique is histologically and functionally better than the fascia-tendon interface. Moreover, this study provides a theoretical basis for the clinical use of the STR technique. Clinical Relevance: The fascia-muscle interface and fascia-tendon interface were the key points of the STR and bridging techniques, respectively. The fascia-muscle interface is histologically and functionally superior to the bridging technique, and the STR technique might be a better choice for the treatment of MIRCTs.

Maturity Assessment of District Health Information System Version 2 Implementation in Ethiopia: Current Status and Improvement Pathways.

Although Ethiopia has made remarkable progress in the uptake of the District Health Information System version 2 (DHIS2) for national aggregate data reporting, there has been no comprehensive assessment of the maturity level of the system. This study aims to assess the maturity level of DHIS2 implementation in Ethiopia and propose a road map that could guide the progress toward a higher level of maturity. We also aim to assess the current maturity status, implementation gaps, and future directions of DHIS2 implementation in Ethiopia. The assessment focused on digital health system governance, skilled human resources, information and communication technology (ICT) infrastructure, interoperability, and data quality and use. A collaborative assessment was conducted with the engagement of key stakeholders through consultative workshops using the Stages of Continuous Improvement tool to measure maturity levels in 5 core domains, 13 components, and 39 subcomponents. A 5-point scale (1=emerging, 2=repeatable, 3=defined, 4=managed, and 5=optimized) was used to measure the DHIS2 implementation maturity level. The national DHIS2 implementation's maturity level is currently at the defined stage (score=2.81) and planned to move to the manageable stage (score=4.09) by 2025. The domain-wise maturity score indicated that except for ICT infrastructure, which is at the repeatable stage (score=2.14), the remaining 4 domains are at the defined stage (score=3). The development of a standardized and basic DHIS2 process at the national level, the development of a 10-year strategic plan to guide the implementation of digital health systems including DHIS2, and the presence of the required competencies at the facility level to accomplish specific DHIS2-related tasks are the major strength of the Ministry of Health of Ethiopia so far. The lack of workforce competency guidelines to support the implementation of DHIS2; the unavailability of core competencies (knowledge, skills, and abilities) required to accomplish DHIS2 tasks at all levels of the health system; and ICT infrastructures such as communication network and internet connectivity at the district, zonal, and regional levels are the major hindrances to effective DHIS2 implementation in the country. On the basis of the Stages of Continuous Improvement maturity model toolkit, the implementation status of DHIS2 in Ethiopia is at the defined stage, with the ICT infrastructure domain being at the lowest stage as compared to the other 4 domains. By 2025, the maturity status is planned to move from the defined stage to the managed stage by improving the identified gaps. Various action points are suggested to address the identified gaps and reach the stated maturity level. The responsible body, necessary resources, and methods of verification required to reach the specified maturity level are also listed.

The Information and Communication Technology Maturity Assessment at Primary Health Care Services Across 9 Provinces in Indonesia: Evaluation Study.

Indonesia has rapidly embraced digital health, particularly during the COVID-19 pandemic, with over 15 million daily health application users. To advance its digital health vision, the government is prioritizing the development of health data and application systems into an integrated health care technology ecosystem. This initiative involves all levels of health care, from primary to tertiary, across all provinces. In particular, it aims to enhance primary health care services (as the main interface with the general population) and contribute to Indonesia's digital health transformation. This study assesses the information and communication technology (ICT) maturity in Indonesian health care services to advance digital health initiatives. ICT maturity assessment tools, specifically designed for middle-income countries, were used to evaluate digital health capabilities in 9 provinces across 5 Indonesian islands. A cross-sectional survey was conducted from February to March 2022, in 9 provinces across Indonesia, representing the country's diverse conditions on its major islands. Respondents included staff from public health centers (Puskesmas), primary care clinics (Klinik Pratama), and district health offices (Dinas Kesehatan Kabupaten/Kota). The survey used adapted ICT maturity assessment questionnaires, covering human resources, software and system, hardware, and infrastructure. It was administered electronically and involved 121 public health centers, 49 primary care clinics, and 67 IT staff from district health offices. Focus group discussions were held to delve deeper into the assessment results and gain more descriptive insights. In this study, 237 participants represented 3 distinct categories: 121 public health centers, 67 district health offices, and 49 primary clinics. These instances were selected from a sample of 9 of the 34 provinces in Indonesia. Collected data from interviews and focus group discussions were transformed into scores on a scale of 1 to 5, with 1 indicating low ICT readiness and 5 indicating high ICT readiness. On average, the breakdown of ICT maturity scores was as follows: 2.71 for human resources' capability in ICT use and system management, 2.83 for software and information systems, 2.59 for hardware, and 2.84 for infrastructure, resulting in an overall average score of 2.74. According to the ICT maturity level pyramid, the ICT maturity of health care providers in Indonesia fell between the basic and good levels. The need to pursue best practices also emerged strongly. Further analysis of the ICT maturity scores, when examined by province, revealed regional variations. The maturity of ICT use is influenced by several critical components. Enhancing human resources, ensuring infrastructure, the availability of supportive hardware, and optimizing information systems are imperative to attain ICT maturity in health care services. In the context of ICT maturity assessment, significant score variations were observed across health care levels in the 9 provinces, underscoring the diversity in ICT readiness and the need for regionally customized follow-up actions.

Effects of single and complex probiotics in growing-finishing pigs and swine compost.

This study was conducted to supplement single and complex probiotics to investigate the effect on growing-finishing pigs and compost. In experiment 1, the 64 crossbred ([Landrace × Yorkshire] × Duroc) pigs with an initial body weight of 18.75 ± 0.33 kg and a birth of 63 days were assigned to a completely randomized four treatment groups based on the initial body weight (4 pigs in a pen with 4 replicate pens for each treatment). For 13 weeks, the dietary treatments were provided: 1) Control (CON; basal diet), 2) T1 (CON + 0.2% Bacillus subtilis), 3) T2 (CON + 0.2% Saccharomyces cerevisiae), 4) T3 (CON + 0.2% Bacillus subtilis + 0.2% Saccharomyces cerevisiae). In experiment 2, the pig manure was obtained from Chungbuk National University (Cheongju, Korea) swine farm. For 12 weeks, the supplementary treatments were provided: 1) CON, non-additive compost; 2) T1, spray Bacillus subtilis 10 g per 3.306 m2; 3) T2, spray Bacillus subtilis 40 g per 3.306 m2; 4) T3, spray Saccharomyces cerevisiae 10 g per 3.306 m2; 5) T4: spray Saccharomyces cerevisiae 40 g per 3.306 m2; 6) T5, spray Bacillus subtilis 5 g + Saccharomyces cerevisiae 5 g per 3.306 m2; 7) T6, spray Saccharomyces subtilis 20 g + S. cerevisiae 20 g per 3.306 m2 and there were 6 replicates each treatment. In experiment 1, During the overall experimental period, T3 showed significantly improved (p < 0.05) feed conversion ratio and average daily gain compared to other groups. In average maturity score, T3 showed significantly higher (p < 0.05) than other groups. Supplementing complex probiotics group improved (p < 0.05) H2S emissions and fecal microflora compared to the non-supplementing group. In experiment 2, additive probiotics groups had no effect (p > 0.05) on moisture content than the non-additive group at 9 and 12 weeks. T6 showed a significantly improved (p < 0.05) average maturity score at all periods and ammonia emissions at 1 week and 4 weeks compared to other groups. In summary, supplementation complex probiotics induced positive effects on both pigs and compost.

Reversible Sterilization of Channel Catfish via Overexpression of Glutamic Acid Decarboxylase Gene.

The confinement of transgenic fish is essential to prevent their escape and reproduction in natural ecosystems. Reversible transgenic sterilization is a promising approach to control the reproduction of transgenic fish. Therefore, the present study was conducted to develop a reversibly sterile channel catfish (Ictalurus punctatus) via the transgenic overexpression of the goldfish (Carassius auratus) glutamic acid decarboxylase (GAD) gene driven by the common carp (Cyprinus carpio) β-actin promoter to disrupt normal gamma-aminobutyric acid (GABA) regulation. Three generations of GAD-transgenic fish were produced. All studied generations showed repressed reproductive performance; however, this was not always statistically significant. In F1, 5.4% of the transgenic fish showed a sexual maturity score ≥ 4 (maximum = 5) at five years of age, which was lower (p = 0.07) than that of the control group (16.8%). In the spawning experiments conducted on F1 transgenic fish at six and nine years of age, 45.5% and 20.0% of fish spawned naturally, representing lower values (p = 0.09 and 0.12, respectively) than the percentages in the sibling control fish of the same age (83.3% and 66.7%, respectively). Four of six pairs of the putative infertile six-year-old fish spawned successfully after luteinizing hormone-releasing hormone analog (LHRHa) therapy. Similar outcomes were noted in the three-year-old F2 fish, with a lower spawning percentage in transgenic fish (20.0%) than in the control (66.7%). In one-year-old F2-generation transgenic fish, the observed mean serum gonadotropin-releasing hormone (GnRH) levels were 9.23 ± 2.49 and 8.14 ± 2.21 ng/mL for the females and males, respectively. In the control fish, the mean levels of GnRH were 11.04 ± 4.06 and 9.03 ± 2.36 ng/mL for the females and males, respectively, which did not differ significantly from the control (p = 0.15 and 0.27 for females and males, respectively). There was no significant difference in the estradiol levels of the female transgenic and non-transgenic fish in the one- and four-year-old F2-generation fish. The four-year-old F2-generation male transgenic fish exhibited significantly (p < 0.05) lower levels of GnRH and testosterone than the control fish. In conclusion, while overexpressing GAD repressed the reproductive abilities of channel catfish, it did not completely sterilize transgenic fish. The sterilization rate might be improved through selection in future generations.

The influence of executive function therapy on improving social maturity in children with Attention Deficit Hyperactivity Disorder (ADHD): An experimental study

Children with Attention Deficit Hyperactivity Disorder (ADHD) have non-adaptive behavioral problems related to social maturity, which impact their future lives as adults, thus necessitating access to appropriate treatment. This experimental study aims to examine the effect of executive function therapy on improving social maturity in children with ADHD. It adopts a comprehensive approach, employing a one-group pretest-posttest design on 20 children with ADHD. The social maturity scores of the children in the initial examination ranged from 32 to 86, measured using the Vineland Social Maturity Scale (VSMS), and then analyzed by one-way repeated measures ANOVA using SPSS. The results show an improvement after executive function therapy (Phase III/Post-test, M = 75.90; Phase II, M = 64.00; Phase I, M = 64.30; Pre-test, M = 61.35), thus indicating a significant influence of the therapy on the improvement of the social maturity of children with ADHD, F(3; 16) = 73.9; p .001, η_p2 = .795 showed moderate level of therapy effectiveness. This study suggested that executive function therapy is effective in improving social maturity in children with ADHD.

An NLP-based approach to assessing a company’s maturity level in the digital era

Conducting a maturity assessment allows companies to measure their readiness in implementing novel technologies. However, this task is challenging due to the multidimensional, complex, unpredictable, and non-linear nature of innovation. In this paper, we introduce an innovative approach to maturity assessment that enables both intra- and inter-company analysis. Our approach evaluates a company’s absolute maturity score concerning a specific technology or area. By leveraging a Natural Language Processing pipeline applied to a semi-structured questionnaire we extract popular concepts from the answers and present them to a human expert for analysis. The expert can refine the analysis by adding or removing concepts as needed. Subsequently, we compute a similarity metric for each answer to determine a company’s maturity in specific concepts. The output of our analysis is presented through human-readable plots, offering clear insights into the internal maturity level of the company and allowing for a comparison with competitors across the chosen concepts. To demonstrate the capabilities of our method, we provide a running example showcasing both quantitative and qualitative results of the analysis. Our approach demonstrates efficiency, with preprocessing completed in 1.967±0.758 s, and information extraction in 0.074±0.017 s on average, excluding human intervention time, and requiring low hardware resources.

A Holistic Approach for Assessment of Global Industry 4.0 Maturity Level

A cogent transformation strategy in the paradigm of Industry 4.0 involves a thorough understanding of the present situation and desired future state. Based on a careful investigation of multiple global indicators and academic Industry 4.0 literature, this study proposes a model for evaluating the maturity level of nations. Nine maturity dimensions: Strategy,People and Culture,Product,Technology,Process,Cybersecurity,Governance, Organization, and Sustainability are chosen in the proposed maturity model considering overall socio-economic development as well as sustainability into account. The indicators used for evaluation are standard metrics. Observation shows a direct relationship between a country’s income level and maturity score. The top three performing nations were all from Europe. Europe also did exceptionally well in the sustainability dimension. On a sub-dimension basis, low maturity has been observed in Research and Development and Quality. The analysis demonstrates Africa’s low maturity across the board. In each category, more than 50% of the economies perform worse than average. Only 50 countries out of 122 performed better than the global average of 44.48, with Switzerland scoring the highest at 69.75. India scored 44.48 and ranked 48th as the top performer in the lower-middle-income group.

Operational efficiency in the presence of undesirable byproducts: an analysis of Indian banking sector under traditional and market-based banking framework

PurposeIn the backdrop of an increase in market-based banking activities, this paper aims to study operational efficiency of Indian banking sector during 2009–2010 through 2017–2018 considering Capital Gain and Gain from Forex Market (as desirable outputs) and Slippage (as undesirable byproducts) simultaneously, along with Advances – a desirable output considered in the traditional banking performance assessment literature. This enables to have an assessment of performance (as captured by the measured efficiency scores) of Indian Banks following an alternative viewpoint about the banking activities. The authors also explain such efficiency scores in terms of bank-specific factors, banking industry competition scenario and interest rate channel.Design/methodology/approachUsing data envelopment analysis (DEA) method, the authors estimate six alternatives but interlinked operational efficiency scores (TES) of the Indian domestic commercial banks. In the second stage, they explain such TES in terms of bank-specific factors, banking industry competition scenario and interest rate channel.FindingsThe authors observe that the private sector banks as a group outperform those under public ownership. Moreover, although the private sector banks could maintain somewhat consistency in their operational efficiency performance over the sample period, public sector banks clearly show a declining tendency. The second stage econometric estimation results show that the priority sector lending has a negative effect on efficiency. Interestingly, the authors get varying results for the relationship between maturity and efficiency score depending on banks’ strategies on stressed assets management. Furthermore, the analyses result that banks are not so efficient in managing relatively larger-volume loans. It is also observed that banks’ efficiency positively depends on the Credit-to-Deposit (CD) ratio. It is found that the overall operational efficiency of the banks to manage their credit risk portfolio improves with a reduction in the lending rate (LR). However, the interaction of lending activities and capital market shows that with the increase in LR, corporate borrowers may switch to capital market to explore for desired funds, which may induce the banking sector to investment in capital markets and create a positive market sentiment.Originality/valueLiterature, although scanty, is there dealing stressed assets of a bank as some undesirable byproducts of its operational and business activities. However, such literature mostly done within the traditional framework of banking business activities and modern market-based business activities are almost absent in the literature. The authors have done it in the present study.

Ultrasound supports clinical decision-making in determining the Sanders’ skeletal maturity score of the hand

PurposeThe Sanders Scoring System has revolutionized the way we assess the remaining growth potential of the skeleton. However, because it involves radiation exposure, it must be used with caution in children. The purpose of the study was to evaluate whether the Sanders skeletal maturity score (SMS) could be accurately determined using ultrasound (U).MethodsWe took radiographs (R) of the hand and performed U of the thumb and index finger in 115 patients between six and 19 years of age who were undergoing treatment for scoliosis or limb deformities. Paediatric orthopaedic surgeons, a paediatrician, and a paediatric radiologist were evaluated the blinded images. Those classified images are based on the SMS and the Thumb Ossification Composite Index (TOCI).ResultsIntrarater reliability was high for SMS and slightly weaker for TOCI, but still significant. Interrater reliability was clear for R and weaker for U in both staging systems. Ultimately, SMS 3 and 7 achieved the highest percentage of concordance (P) of 71.7% and 66.0%, respectively, when U was performed. Combining the clinically relevant groups of SMS 3&4 and SMS 7&8 also significantly increased peak scores (SMS 3 and 4 P = 76.7%; SMS 7 and 8 P = 79.7%). The probabilities of peak scores were significantly weaker when the TOCI score was examined.ConclusionOur study shows that U can be used effectively especially to measure stages 3 and 4 and stages 7 and 8 of SMS. The U method is easy to use and therefore may offer advantages in clinical practice without the need for radiation exposure.

Developmental structure of digital maturity

The last decades have seen growing attention for the positive and negative effects of digital technology on adolescent's wellbeing. Large individual variability in these effects is likely caused by individual differences in the way people interact with digital devices. Digital maturity aims to capture the extent to which young individuals use digital technology in a healthy and adaptive way. The recently developed Digital Maturity Inventory (DIMI) uses self-report to measure ten domains, from digital literacy to emotion regulation, that constitute digital maturity of adolescents. To better understand the relative contribution and interplay of the different domains in the development of digital maturity, we employed a moderated psychometric network model. We measured digital maturity scores of 378 participants, aged 9–43 years. The results revealed that support-seeking and the regulation of aggressive impulses are central domains within the network, indicating important starting points for intervention studies. Although age did not moderate the connections within the network, we did find that older participants were more digitally literate and asked less often for support regarding digital issues. These results suggest that digital maturity is a relatively robust concept across adolescence and into adulthood and provide important footholds for interventions.

Development of a digital transformation maturity model for the construction industry

PurposeDigital transformation is crucial for achieving high-quality development in the construction industry. Assessing the industry's digital maturity is an urgent necessity. The Digital Transformation Maturity Model is a potential tool to systematically evaluate the digital maturity levels of various industries. However, most existing models predominantly focus on sectors such as the Internet and manufacturing, leaving the construction industry comparatively underrepresented. This study aims to address this gap by developing a maturity model tailored specifically for digital transformation within the construction industry.Design/methodology/approachThis study leverages the Capability Maturity Theory and integrates the unique characteristics of the construction industry to construct a comprehensive maturity model for digital transformation. The model comprises five critical dimensions: industry environment, strategy and organization, digital infrastructure, business process and management digitization, and digital performance. These dimensions encompass a total of 25 assessment indexes. To validate the model's feasibility and effectiveness, a digital transformation maturity assessment was conducted within China's construction industry.FindingsThe results of the maturity assessment within the Chinese construction industry reveal that it currently operates at the third level of digital maturity (defined level). The industry's maturity score stands at 2.329 out of 5. This outcome indicates that the developed model is accurate and reliable in assessing the level of digital transformation maturity within the construction industry.Originality/valueThis paper contributes both practical and theoretical insights to the field of digital transformation within the construction industry. By creating a tailored maturity model, it addresses a significant gap in existing research and offers a valuable tool for assessing and advancing digital maturity levels within this industry.

IJCM_79A: A cross sectional study to compare the emotional maturity between middle school children of working and non-working mothers.

Background: A child’s overall development is based on physical and emotional well-being. Parenting skills plays a vital role in child’s emotional well-being and can be influenced by many factors and one of the factors is mother’s working status. Objectives: 1. To assess the emotional maturity level of middle school children. 2. To compare the emotional maturity levels between middle school children having working mothers and middle school children having non- working mothers. Methodology: An analytical cross-sectional study among middle school children between the age of 13 and 16 years was conducted in a school. A questionnaire-based interview was conducted using a standard semi structured Emotional maturity scale questionnaire. Results: The total students interviewed were 150 and were equally divided based on working status of mothers. Among them, 54.7% were boys and 45.3% were girls. 1.3% of the children of working mothers exhibited very low emotional maturity, but none of the children of non-working mothers did. Of the children of working mothers, 12% demonstrated low emotional maturity, compared to 8% of the children of non-working mothers. 78.7% of children whose mothers were working had an average level of emotional maturity, compared to 85.3% of children whose non-working mothers. 8% of the children of working mothers exhibited a high level of emotional maturity, compared to 6.7% of the children of non-working mothers. There was no significant difference between emotional maturity of children of working and non-working mothers (P=0.595). Conclusion: The study showed nil significant difference in emotional maturity score between children of working and non-working mothers. However, very low emotional maturity level was seen in Children of working mother which needs further importance. So, similar Future Studies with higher sample size will be needed to address this statistically and the concept of emotional maturity needs to be looked into with more preference to emotional maturity factors.

A Practical Approach to Enhance Data Quality Management in Government: Case Study of Indonesian Customs and Excise Office

Background: The exponential data growth emphasises the importance of efficient information flow in organisations, especially in the financial sector. Data quality significantly influences decision-making, necessitating reliable Data Quality Management (DQM) frameworks. Previous studies propose DQM to maintain data quality through regulation, technology, measurement, evaluation, and improvement. Researchers highlight high-quality data benefits in private organisations but note the lack of improvement in data utilisation in public organisations. In Indonesia, data accuracy and quality are crucial for financial policies, with frequent reports of data inaccuracies in the Directorate General of Customs and Excise (DJBC), demanding standardised DQM practices. However, However, prior studies have yet to provide comprehensive and practical solutions to improve DQM practices. This study therefore aims to measure the DQM maturity, provide recommendations based on best practices, and formulate a practical strategy for improvements along with indicators tailored to the organisation, a topic that previous research has not explored. Methods: This study falls under a mixed method approach (a quantitative study followed by a qualitative study) and employs a three-stage methodology. The authors conduct maturity assessment using Loshin model through an assisted enumeration from 5 key stakeholders followed by recommendations based on the Data Management Body of Knowledge (DMBOK) and strategy formulation from internal documents and interview. Results: The data analysis yielded a DQM maturity score of 3.10, indicating a "defined to managed" level of maturity. Among eight components, only one receives a Managed level, two components are in the Defined level and the rest belongs to a Repeatable level. This study also proposes three strategies to bolster DQM by targeting 49 weak points, which will be progressively and sequentially implemented over a three-year period, using twelve possible solutions. Conclusion: The study highlights the importance of efficient data flow, particularly in the financial sector, and suggests DQM for maintaining data quality. DJBC's import DQM level is assessed using Loshin's measurements, revealing areas for improvement through key DMBOK activities. Recommendations include data governance, strategic planning, and sequential DQM implementation. The study concludes by formulating a practical approach to be applied in a three-year span with ten indicators to measure success. Keywords: Data Quality Management, Data Quality Maturity Model, Data Quality Strategy, Loshin, DMBOK

Enhancing IT Hybrid Projects in The Directorate General Of Customs And Excise of Indonesia: An Improvement Process

The Directorate General of Customs and Excise (DJBC) confronts mounting challenges due to the expanding international trade. To address this issue, an optimal software solution is required for efficient service provision and supervision of transactions. However, the completion of IS projects faces significant delays, with only 25% reaching completion despite the immediate need for a reliable system. These delays stem from various problems encountered during project execution. This research employs the Kerzner Project Management Maturity Model to assess the IS project management maturity level at DJBC and categorise the identified problems. Subsequently, solutions extracted from PMBOK 7 are mapped to address these issues. Findings indicate an average maturity score of 390, falling short of the target of 600 required for level 1 maturity. Additionally, 13 problems have been identified and linked to solutions within the seven standards/domains of PMBOK 7. The research presents two strategic goals: improving project management processes and enhancing client satisfaction, assessed using seven measurement indicators. This study offers valuable insights for DJBC to address project management challenges, enhance maturity levels, and achieve desired outcomes.

To estimate the maturation of permanent teeth in different facial patterns in Rajasthan population: A comparative retrospective study

The purpose of this study was to estimate and compare the maturation stages of permanent teeth in different facial patterns in Rajasthan population. Pre-treatment lateral cephalograms and orthopantomogram of 90 subjects (30 horizontal, 30 vertical and 30 average growth patterns with subgroup of male and female in horizontal, vertical and average growth pattern), with 8 – 16 years of age, were selected from the patients records who had reported to the Department of Orthodontics &amp; Dentofacial Orthopaedics, Darshan Dental College and Hospital, Udaipur. Lateral Cephalograms were traced manually and orthopantomogram were used to get the overall dental maturity score by adding the value of left eight mandibular teeth. Student’s t test was used to compare the maturation of chronological age and dental age in horizontal, vertical and average growth patterns and Pearson’s correlation test was used to found correlation between the group. The results suggest a difference in dental age and chronological age in subject with vertical growth patterns. Vertical female growers showed early dental age maturation compared to chronological age. There was insignificant difference present in dental age and chronological age in horizontal growth patterns and average growth patterns. Insignificant intergroup difference was found in dental age between horizontal vs vertical, horizontal vs average and vertical vs average growth patterns. Subjects with vertical female growth patterns shows early dental age maturation than chronological age. Sn-Go-Gn, lower anterior facial height and Jara back’s ratio are highly significant in determining growth patterns. There also exists strong correlation between dental age and chronological age in horizontal, vertical and average growth patterns in male and female subgroup.