The goal of this paper is to present contemporary developments in the field of digital maturity models. By conducting a systematic literature review finally 24 relevant studies including 22 different ...models were identified and various characteristics of different digital maturity models were extracted. Focus was placed on the dimensions used to measure digital maturity in different model approaches. Special light was shed on organizational culture and to what extent it is represented in the models. Among other things, the findings indicate, that dimensions applied in various models can be very different and that just a few models incorporate transformational in addition to digital capabilities. In particular, organizational culture as a dedicated dimension of digital maturity is represented already in a few models, which indicates the growing importance of culture as an enabler of digital transformation efforts. Beside a comprehensive overview of the most widely used dimensions measuring digital maturity, a synthesis of the most frequently addressed cultural attributes is presented in this paper as well. This review finally reveals that most of the existing models give an incomplete picture of digital maturity, that cultural attributes reflecting a digital culture are not integrated systematically, and that digital maturity models specific to the domain of services are clearly under-represented. It also clearly demonstrates that research about digital transformation maturity as a holistic concept is scarce and needs more attention by research in the future.
The Baiyun Sag in the Pearl River Mouth Basin is a hydrocarbon-rich depression in which oil and natural gas fields coexist. The complex characteristics of oil and condensate in the sag have been ...long-term issues, and one of the questions is the formation stage of black oil, volatile oil and gas condensate in the sag. In this study, to accurately estimate the thermal maturity of oil in the Baiyun Sag, maturity parameters derived from normal alkanes, terpanes, steranes and aromatic hydrocarbons were systematically investigated. In addition, adamantane parameters were used to verify both the oil and condensate maturity. The results show that the saturated hydrocarbon biomarker parameters are not suitable for providing a complete understanding of the oil maturity in the Baiyun Sag. A qualitative evaluation method for various maturity stages of oil was proposed based on the methylphenanthrene distribution fractions, phenyldibenzothiophene maturity parameters, and diamantane concentration. Subsequently, the maturity was quantitatively evaluated using empirical equations based on methyl diamantine. The equations were selected by comparing the calculated equivalent reflectance (Rc) with the qualitatively determined maturity stage of the crude oil. Finally, the calculated vitrinite reflectance values indicated an overestimation of the maturity of light oils and condensate oils, which were thought to be produced in the late oil window (Ro: 1.0%∼1.3%) to wet gas stage (Ro: >1.3%). The new results indicate that the black oils with Rc values ranging between 0.72% and 1.05% was generated during the peak oil window. The Rc values of gas condensates in the eastern and northeastern structural belts range from 1.20% to 1.24%, suggesting that they are products of the late oil window. The maturity levels of gas condensates in the Panyu Low Uplift are the highest (Rc: 1.14%–1.46%) in the sag. They were produced in the late oil to wet gas stages. The oil maturity characteristics confirm the oil exploration potentials of the eastern and northeastern structural belts of the Baiyun Sag.
•The maturity of black oil, volatile oil and gas condensate were determined.•A qualitative evaluation procedure for oil maturity was proposed.•The black and volatile oils were principally generated during the peak oil window.•In Eastern and Northeastern Structural Belts, gas condensates were the late oil stage products.•The gas condensate in the Panyu Low Uplift are gas associated oil.
The proximal humerus ossification system (PHOS), olecranon apophyseal ossification system (OAOS), and modified Fels wrist skeletal maturity system (mFWS) were recently developed or updated using a ...historical, mostly White, pediatric population. These upper extremity skeletal maturity systems have demonstrated skeletal age estimation performance superior or equivalent to Greulich and Pyle in historical patients. Their applicability to modern pediatric populations has not yet been evaluated.
We reviewed anteroposterior shoulder, lateral elbow, and anteroposterior hand and wrist x-rays of 4 pediatric cohorts: White males, Black males, White females, and Black females. Peripubertal x-rays were evaluated: males 9 to17 years and females 7 to 15 years. Five nonpathologic radiographs for each age and joint were randomly selected from each group. Skeletal age estimates made by each of the 3 skeletal maturity systems were plotted against the chronological age associated with each radiograph and compared between cohorts, and with the historical patients.
Five hundred forty modern radiographs were evaluated (180 shoulders, 180 elbows, and 180 wrists). All radiographic parameters had inter- and intra-rater reliability coefficients at or above 0.79, indicating very good reliability. For PHOS, White males had delayed skeletal age compared with Black males (Δ-0.12 y, P =0.02) and historical males (Δ-0.17 y, P <0.001). Black females were skeletally advanced compared with historical females (Δ0.11 y, P =0.01). For OAOS, White males (Δ-0.31 y, P <0.001) and Black males (Δ-0.24 y, P <0.001) had delayed skeletal age compared with historical males. For mFWS, White males (Δ0.29 y, P =0.024), Black males (Δ0.58 y, P <0.001), and Black females (Δ0.44 y, P <0.001) had advanced skeletal age compared with historical counterparts of the same sex. All other comparisons were not significant ( P >0.05).
The PHOS, OAOS, and mFWS have mild discrepancies in skeletal age estimates when applied to modern pediatric populations depending on the race and sex of the patient.
Level III - retrospective chart review.
Today many manufacturing firms expect a significant impact of 'Industry 4.0' on their supply chains, operations, and business models. However, its complex characteristics are yet to be fully ...comprehended by most of them. As a result, there are several apprehensions pertaining to its structure, techno-organisational capabilities, and methodologies for shaping the vision of Industry 4.0. We propose an Industry 4.0 maturity model, which is empirically grounded and technology-focussed for assessing the maturity level of Indian manufacturing organisations. The model comprises of 7 dimensions and 38 maturity items. Further, the model is validated in an auto-component manufacturing company to reinforce the learning from the model. The results reveal that the company is in 'Digital Novice' maturity level with a maturity score of 2.88 against the highest maturity score of 5. The study demonstrates that the model is validated in a real-life environment and is easy for self-assessment.
The article studies peculiarities of the formation of socially mature students in the educational space. The following problems of this phenomenon may be mentioned: unplanned pregnancy, ...prematurity of a child, rejection of a child by one or two parents, aggravating heredity, postnatal disorders in physical or mental development, individual features of a child, negative impact of environment and people, lack of educational influence and social maladaptation, as well as other political, socio-economic, and ethnocultural specifics. In the research, attention is paid to procedural aspects of forming social maturity of students in the educational space. Besides, the article presents its model, main aspects of model creation and implementation are reflected. In addition, the author provides the purposes, objectives, factors, and psycho-pedagogical conditions of the considered occurrence. Some of the given factors of the research affecting a child in early preschool, school, and student age can prevent its favourable formation in any educational institution which happens in such a direction as the natural teaching and educational process. The specifics of the faculty are traced in disciplines and competencies that correspond to the characteristics of social maturity of students.
Introduction. A literature review devoted to the study of adolescents’ economic socialization patterns allows us to assume that the attitude of adolescents to money (conscientiousness of the attitude ...to money and confidence in their financial rights) is mediated by the characteristics of their personal maturity. The article presents the novel results of an empirical test of this hypothesis. Methods. The study involved 1.145 adolescents aged 13–17 years (725 girls and 418 boys) who do not have independent sources of income. Empirical data were collected using the “Scale self-assessment of personal maturity” (A. V. Miklyaeva) and the “Adolescent money attitude scale” (I. Beutler, C. Gudmunson). Results. The indicator of financial conscientiousness increases with age (F = 4.17 at p < 0.01), and the financial rights indicator undergoes less pronounced changes (F = 1.34 at p > 0.05). The indicator of financial conscientiousness is significantly higher in the sample of girls (F = 17.16 at p < 0.001). Throughout older adolescence, the indicator of financial rights is positively associated with the regulatory maturity indicator (F = 3.11 at p = 0.05), the financial conscientiousness indicator is positively associated with the indicator of reflexive maturity (F = 9.92 at p = 0.001) and negatively – with the indicators of regulatory (F = 7.92 at p = 0.001) and cognitive (F = 3.50 at p = 0.03) maturity. Discussion. The results are interpreted in the context of a socio-psychological approach to personality formation in the growing-up process. The conclusion is made that the recorded change in the money attitude in adolescence is closely associated with the assessment by adolescents of their personality potential, in particular, those aspects of it that allow them to make independent financial decisions. Proposals are formulated for the development of programs of activities aimed at promoting constructive economic socialization of adolescents.
Octopus maya is the main species caught in Mexico. From September 2007 to June 2008, its sex ratio, reproductive season, frequency of non-vitellogenic and vitellogenic oocytes, reproductive indices, ...and size and weight at maturity, were evaluated. The monthly sex ratio was significantly different from 1:1. The major reproductive season occurs during February to June (dry season) in Yucatan. MayâJune is the common reproductive season to both Yucatán and Campeche populations. Higher frequencies of vitellogenic oocytes (> 50%) were found from January-March and in May. From five reproductive indices, only the macroscopic and microscopic maturity indices were the best descriptors of the reproductive season in females, whilst only the reproductive complex index was the best descriptor in males. The weight at sexual maturity (BW â â%) was 335 g for females and 242 g for males. The size at sexual maturity (DML â â%) was 12.58 cm for females and 7.42 cm for males. It is recommend revising the minimum catch size by following these results. The reproductive traits here evaluated could contribute to the recently created Plan for Management of Octopus Fisheries, in particular action line no. 1.4, which refers to protection of females during breeding, and to their protection throughout the entire reproductive season.
El presente estudio busca analizar la madures digital de las empresas medianas del municipio de Tecomán, Colima, México y su relación con el género y grado de estudios de la persona responsable de la ...organización, haciendo uso del modelo Forrester de cuatro dimensiones. Para ello se emplea un enfoque mixto, seleccionando una muestra de 40 unidades económicas de un total de 47 que existen en la municipalidad, todas empresas medianas con entre 51 y 250 empleados. Se observa como resultado que el género y el nivel de estudios de la persona a cargo de la empresa, no tiene influencia directa en la madures digital de esta.
Identifying olive cultivars and maturity stages is crucial in the olive industry, as these traits significantly impact the nutritional and sensory properties of olive products and extracted oil. For ...this purpose, this study presents a novel automatic computer vision system that applies state-of-the-art deep learning technology to sort and classify two Iranian olive cultivars, Zard and Roghani, in five maturity stages, resulting in a total of ten distinct classes. The model was developed by evaluating multiple user-defined and standard structures. It was based on a dual-path lightweight convolutional neural network that uses both regular and dilated convolution operators. Dilated convolutions were used to extract more information and capture different properties by providing larger receptive fields. With a significantly lower number of trainable parameters than standard architectures, the lightweight nature of the model would enhance its potential for delivering fast responses in on-the-go applications. Four optimizers (RMSProp, SGD, Adam, and Nadam) were tested on the developed model to enhance its performance, and Nadam exhibited the greatest accuracy. The proposed model achieved a total classification accuracy of 95.79 % and a loss of 0.2214. The proposed model was completely accurate for some classes, and the classification metrics for all categories were high, ranging from 88 % to 100 % for precision, 83–100 % for recall, and 86–100 % for F1-score. The accuracy of classification within the Roghani cultivar classes stood at 98.28 %, while for the Zard cultivar classes, it achieved 97.76 %. The study found that the proposed model can be efficiently incorporated into an olive sorting system, facilitating the identification of olives with different cultivars and varying levels of maturity, thereby enhancing the production of post-harvest products and superior quality of oil.
•RGB images and DL were used to sort two olive cultivars in five maturity stages.•Dual-path lightweight CNN with both regular and dilated convolutions was employed.•Four optimizers were tested on the developed model to enhance its performance.•Promising results in terms of classification metrics were achieved.
The increasing digitalization of business and society has brought major changes for organizations to transform in an effort to maintain their sustainability. Adaptation to technological developments ...that impact various adjustments to strategies, business processes, and organizational structures has become an integral part of being able to transformation. This transformation effort is accompanied by monitoring and evaluation to ensure conformity of the transformation with digital transformation maturity level standards. This study proposes an independent digital maturity measurement model (DX-SAMM Digital Transformation Self-Assessment Maturity Model) that allows companies to classify their achievement of digital maturity. The expansion of existing digital maturity measurement models to include multidimensional engagement that dominates Digital Transformation is the focus of the research objectives. Overall, seven dimensions and twenty-one sub-dimensions were defined to measure the maturity level of digital transformation in organizations. This digital maturity measurement application considers various dimensions related to Digital Transformation, namely Strategy, Organizational Structure, Technology, Employees, Customers, Business Processes, and Culture. The Digital Transformation maturity level standard used adopts SPICE. It is part of the ISO/IEC 3300XX family of standards, which specifically serves as a maturity reference for established structures. Case studies as empirical tests of model implementation are presented in this study.
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