scholarly journals INFORMATION CRM SYSTEMS IN ORGANIZATIONAL AND MANAGEMENT ACTIVITIES OF TECHNICIANS-PROGRAMMERS

2020 ◽  
Vol 71 (3) ◽  
pp. 220-224
Author(s):  
G.B. Kamalova ◽  
◽  
N.A. Vodolazkina ◽  
K.I. Aklbekov ◽  
◽  
...  
Keyword(s):  
Large Scale ◽  
Rapid Development ◽  
Customer Relationship ◽  
Professional Activity ◽  
Small Companies ◽  
Functional Capabilities ◽  
Managerial Decisions ◽  
Corporate System ◽  
External Communications ◽  
Managerial Activity

Allocation of organizational and managerial activity as an independent type in the structure of the professional activity of a technician-programmer, including the implementation of such organizational and managerial functions as planning and teamwork, making and implementing managerial decisions, establishing and maintaining internal and external communications, evaluating and developing professional and career advancement, project management, will allow him to effectively organize activities, both his own and the division of the organization entrusted to him. One of the main organizational and managerial functions is the functions of customer relationship management. These tasks are implemented in CRM systems. To automate the organizational and management activities of specialists of various levels, including technicians-programmers, today, in the context of the rapid development of technology and technology, large-scale digitalization, it is advisable to use such information systems. Possessing high technical and functional capabilities, they allow to accumulate and quickly process huge volumes of various information, to make decisions based on this information adequately and quickly. However, ready-made CRM systems are mostly paid and overloaded with unnecessary functionality, since they are only one of the components of a giant corporate system. Practice shows that small companies are limited to the minimum required set of functions implemented in such CRM systems, so it is often easier to develop their own CRM systems for their processes. In this article the requirements for such systems of automation of organizational and management activities of technicians-programmers and its functional structure are describes.

Customer Relationship Management- A Strategy for Success in Electronic Commerce

2011 ◽  
pp. 1686-1700
Author(s):  
Nils Madeja ◽  
Detlef Schoder
Keyword(s):  
Electronic Commerce ◽  
Customer Relationship Management ◽  
Large Scale ◽  
Relationship Management ◽  
Customer Relationship ◽  
Success Factor ◽  
Small Companies ◽  
Critical Success ◽  
German Speaking ◽  
The Impact

Customer relationship management (CRM) is a concept for increasing companies’ profitability by enabling them to identify and concentrate on their profitable customers. The term “electronic commerce customer relationship management” (ECCRM) refers to the application of CRM in electronic commerce, i.e., when business relationships are maintained via the Internet or World Wide Web. Previous studies on the effectiveness of ECCRM have often focused on the process level, technical aspects, or on marketing issues. Yet only little evidence has been reported for the impact of ECCRM on the company level. In this chapter we present the results from a large-scale empirical study investigating the impact of ECCRM on corporate success in electronic commerce. The study comprises 469 cases of general companies in the German-speaking market. We find that ECCRM is a critical success factor in electronic commerce, independent of companies’ time on the Web. It is especially critical for B2C and small companies.

Customer Relationship Management- A Strategy for Success in Electronic Commerce

2005 ◽  
pp. 1-20
Author(s):  
Nils Madeja ◽  
Detlef Schoder
Keyword(s):  
Electronic Commerce ◽  
Customer Relationship Management ◽  
Large Scale ◽  
Relationship Management ◽  
Customer Relationship ◽  
Success Factor ◽  
Small Companies ◽  
Critical Success ◽  
German Speaking ◽  
The Impact

Customer relationship management (CRM) is a concept for increasing companies’ profitability by enabling them to identify and concentrate on their profitable customers. The term “electronic commerce customer relationship management” (ECCRM) refers to the application of CRM in electronic commerce, i.e., when business relationships are maintained via the Internet or World Wide Web. Previous studies on the effectiveness of ECCRM have often focused on the process level, technical aspects, or on marketing issues. Yet only little evidence has been reported for the impact of ECCRM on the company level. In this chapter we present the results from a large-scale empirical study investigating the impact of ECCRM on corporate success in electronic commerce. The study comprises 469 cases of general companies in the German-speaking market. We find that ECCRM is a critical success factor in electronic commerce, independent of companies’ time on the Web. It is especially critical for B2C and small companies.

scholarly journals High-Rate Transition Metal-based Cathode Materials for Battery-Supercapacitor Hybrid Devices

2021 ◽  
Author(s):  
Cong Wang ◽  
Zehao Song ◽  
Pei Shi ◽  
Lin Lv ◽  
Houzhao Wan ◽  
...  
Keyword(s):  
Large Scale ◽  
Rapid Development ◽  
Electronic Devices ◽  
High Rate ◽  
Specific Power ◽  
Energy Storage Devices ◽  
Storage Devices ◽  
Electrochemical Devices ◽  
Hybrid Devices ◽  
Scale Grid

With the rapid development of portable electronic devices, electric vehicles and large-scale grid energy storage devices, it needs to reinforce specific energy and specific power of related electrochemical devices meeting...

scholarly journals High-Throughput Phenotyping Methods for Breeding Drought-Tolerant Crops

2021 ◽  
Vol 22 (15) ◽  
pp. 8266
Author(s):  
Minsu Kim ◽  
Chaewon Lee ◽  
Subin Hong ◽  
Song Lim Kim ◽  
Jeong-Ho Baek ◽  
...  
Keyword(s):  
Drought Stress ◽  
High Throughput ◽  
Large Scale ◽  
Crop Yields ◽  
Plant Traits ◽  
Rapid Development ◽  
Plant Responses ◽  
Phenotypic Data ◽  
Agricultural Technologies ◽  
High Throughput Phenotyping

Drought is a main factor limiting crop yields. Modern agricultural technologies such as irrigation systems, ground mulching, and rainwater storage can prevent drought, but these are only temporary solutions. Understanding the physiological, biochemical, and molecular reactions of plants to drought stress is therefore urgent. The recent rapid development of genomics tools has led to an increasing interest in phenomics, i.e., the study of phenotypic plant traits. Among phenomic strategies, high-throughput phenotyping (HTP) is attracting increasing attention as a way to address the bottlenecks of genomic and phenomic studies. HTP provides researchers a non-destructive and non-invasive method yet accurate in analyzing large-scale phenotypic data. This review describes plant responses to drought stress and introduces HTP methods that can detect changes in plant phenotypes in response to drought.

scholarly journals Cloud-based intelligent self-diagnosis and department recommendation service using Chinese medical BERT

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Junshu Wang ◽  
Guoming Zhang ◽  
Wei Wang ◽  
Ka Zhang ◽  
Yehua Sheng
Keyword(s):  
Cloud Computing ◽  
Large Scale ◽  
Medical Service ◽  
Rapid Development ◽  
Medical Knowledge ◽  
Language Models ◽  
Computing Environment ◽  
Computing Power ◽  
Cloud Computing Environment ◽  
Proposed Model

AbstractWith the rapid development of hospital informatization and Internet medical service in recent years, most hospitals have launched online hospital appointment registration systems to remove patient queues and improve the efficiency of medical services. However, most of the patients lack professional medical knowledge and have no idea of how to choose department when registering. To instruct the patients to seek medical care and register effectively, we proposed CIDRS, an intelligent self-diagnosis and department recommendation framework based on Chinese medical Bidirectional Encoder Representations from Transformers (BERT) in the cloud computing environment. We also established a Chinese BERT model (CHMBERT) trained on a large-scale Chinese medical text corpus. This model was used to optimize self-diagnosis and department recommendation tasks. To solve the limited computing power of terminals, we deployed the proposed framework in a cloud computing environment based on container and micro-service technologies. Real-world medical datasets from hospitals were used in the experiments, and results showed that the proposed model was superior to the traditional deep learning models and other pre-trained language models in terms of performance.

Parallel Assessment Tracks for Human-Centered Design (PATH): A Framework for Transitioning to a New Health Information Technology System

2021 ◽  
Vol 65 (1) ◽  
pp. 294-298
Author(s):  
Jason J. Saleem ◽  
Kyle Maddox ◽  
Jennifer Herout ◽  
Kurt Ruark
Keyword(s):  
Information Technology ◽  
Human Factors ◽  
Health Information Technology ◽  
Health Information ◽  
Large Scale ◽  
Comprehensive Evaluation ◽  
Customer Relationship ◽  
Human Factors Engineering ◽  
Human Centered Design ◽  
Legacy System

This practice-oriented paper presents a human-centered design (HCD) framework that we developed to perform a comprehensive evaluation of a new health information technology (HIT) system under development, intended to replace a legacy system. The Department of Veterans Affairs (VA) Veteran Crisis Line (VCL) program provides a vital service in crisis intervention and suicide prevention. VCL staff rely on a Customer Relationship Management (CRM) legacy system, Medora. VCL intended to replace Medora with Microsoft Dynamics 365 (D365) CRM system. Due to wide-spread criticism of D365, the VA Human Factors Engineering (HFE) team engaged in a multi-study, mixed-method HCD evaluation to investigate the legacy system and intended replacement in terms of ability to support VCL staff needs. The HCD framework we developed to perform this evaluation may be adapted for other large-scale HIT transitions and may provide human factors practitioners with guidance to make evidence-based decisions to support (or abandon) such transitions.

Directions of Economic and Ecological Transformation of Enterprises of the Defence-industrial Complex of Ukraine

2021 ◽  
pp. 211-219
Author(s):  
Oleksii Hutsaliuk ◽  
◽  
Tatiana Obniavko ◽  
Keyword(s):  
Environmental Sustainability ◽  
Large Scale ◽  
Economic Effects ◽  
High Tech ◽  
Industrial Complex ◽  
Military Equipment ◽  
Managerial Decisions ◽  
Current Period ◽  
Cumulative Deterioration ◽  
High Level

Since the beginning of the third millennium, ecological safety has become of paramount importance for Ukraine. The cumulative deterioration of the environment, fixed by the annual official reports on the ecological situation in the country, is fraught with irreparable consequences not only for the present generations, but also for descendants. The authors propose to consider the enterprises of the defence-industrial complex (DIC) of Ukraine as those that make a significant contribution to the development of the economy of the country, while not only not destroying the environment, but also contributing to sustainable development. The defence-industrial complex of Ukraine is the basis of the high-tech sector of the Ukrainian economy, which determines its key importance for the functioning and development of the entire national economy, in the current period of change of technological modes, as the enterprises of the Ukrainian defence-industrial complex have a high level of innovation. One of the key features of the domestic defence-industrial complex is that it has the potential to concentrate various types of resources to achieve breakthrough results not only in addressing the issues of creating the latest weapons and military equipment, but also for implementing large-scale projects of national economic importance. This potential for breakthrough development currently remains underutilized, requiring adjustments not only in industrial, but also in state economic policy as a whole. The current state of development of defence industry enterprises is characterized by insufficient economic and environmental sustainability and requires modernization based on global experience in the greening of the military-defence sphere and NATO environmental standards, which will have environmental and economic effects. The obstacles of economic and ecological transformation of enterprises of the defence-industrial complex of Ukraine were identified and a number of managerial decisions that can become drivers to accelerate the economic and ecological transformation of the defence-industrial complex of Ukraine were proposed.

scholarly journals Differential Regulatory Analysis Based on Coexpression Network in Cancer Research

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Junyi Li ◽  
Yi-Xue Li ◽  
Yuan-Yuan Li
Keyword(s):  
Cancer Research ◽  
Large Scale ◽  
Rapid Development ◽  
Differential Expression Analysis ◽  
Coexpression Network ◽  
Differential Analysis ◽  
Integrative Research ◽  
Research Fields ◽  
System Properties ◽  
Regulatory Analysis

With rapid development of high-throughput techniques and accumulation of big transcriptomic data, plenty of computational methods and algorithms such as differential analysis and network analysis have been proposed to explore genome-wide gene expression characteristics. These efforts are aiming to transform underlying genomic information into valuable knowledges in biological and medical research fields. Recently, tremendous integrative research methods are dedicated to interpret the development and progress of neoplastic diseases, whereas differential regulatory analysis (DRA) based on gene coexpression network (GCN) increasingly plays a robust complement to regular differential expression analysis in revealing regulatory functions of cancer related genes such as evading growth suppressors and resisting cell death. Differential regulatory analysis based on GCN is prospective and shows its essential role in discovering the system properties of carcinogenesis features. Here we briefly review the paradigm of differential regulatory analysis based on GCN. We also focus on the applications of differential regulatory analysis based on GCN in cancer research and point out that DRA is necessary and extraordinary to reveal underlying molecular mechanism in large-scale carcinogenesis studies.

scholarly journals KK-DBP: A Multi-Feature Fusion Method for DNA-Binding Protein Identification Based on Random Forest

2021 ◽  
Vol 12 ◽  
Author(s):  
Yuran Jia ◽  
Shan Huang ◽  
Tianjiao Zhang
Keyword(s):  
Dna Binding ◽  
Prediction Accuracy ◽  
Large Scale ◽  
Protein Identification ◽  
Feature Fusion ◽  
Binding Protein ◽  
Rapid Development ◽  
Dna Binding Protein ◽  
Feature Extraction Method ◽  
Independent Test Dataset

DNA-binding protein (DBP) is a protein with a special DNA binding domain that is associated with many important molecular biological mechanisms. Rapid development of computational methods has made it possible to predict DBP on a large scale; however, existing methods do not fully integrate DBP-related features, resulting in rough prediction results. In this article, we develop a DNA-binding protein identification method called KK-DBP. To improve prediction accuracy, we propose a feature extraction method that fuses multiple PSSM features. The experimental results show a prediction accuracy on the independent test dataset PDB186 of 81.22%, which is the highest of all existing methods.

scholarly journals Quick and efficient approach to develop genomic resources in orphan species: Application in Lavandula angustifolia

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0243853
Author(s):  
Berline Fopa Fomeju ◽  
Dominique Brunel ◽  
Aurélie Bérard ◽  
Jean-Baptiste Rivoal ◽  
Philippe Gallois ◽  
...  
Keyword(s):  
Large Scale ◽  
De Novo ◽  
Rapid Development ◽  
Genetic Distances ◽  
Lavandula Angustifolia ◽  
Distance Analysis ◽  
Alternative Medicines ◽  
Dna And Rna ◽  
Snp Development ◽  
High Level

Next-Generation Sequencing (NGS) technologies, by reducing the cost and increasing the throughput of sequencing, have opened doors to generate genomic data in a range of previously poorly studied species. In this study, we propose a method for the rapid development of a large-scale molecular resources for orphan species. We studied as an example the true lavender (Lavandula angustifolia Mill.), a perennial sub-shrub plant native from the Mediterranean region and whose essential oil have numerous applications in cosmetics, pharmaceuticals, and alternative medicines. The heterozygous clone “Maillette” was used as a reference for DNA and RNA sequencing. We first built a reference Unigene, compound of coding sequences, thanks to de novo RNA-seq assembly. Then, we reconstructed the complete genes sequences (with introns and exons) using an Unigene-guided DNA-seq assembly approach. This aimed to maximize the possibilities of finding polymorphism between genetically close individuals despite the lack of a reference genome. Finally, we used these resources for SNP mining within a collection of 16 commercial lavender clones and tested the SNP within the scope of a genetic distance analysis. We obtained a cleaned reference of 8, 030 functionally in silico annotated genes. We found 359K polymorphic sites and observed a high SNP frequency (mean of 1 SNP per 90 bp) and a high level of heterozygosity (more than 60% of heterozygous SNP per genotype). On overall, we found similar genetic distances between pairs of clones, which is probably related to the out-crossing nature of the species and the restricted area of cultivation. The proposed method is transferable to other orphan species, requires little bioinformatics resources and can be realized within a year. This is also the first reported large-scale SNP development on Lavandula angustifolia. All the genomics resources developed herein are publicly available and provide a rich pool of molecular resources to explore and exploit lavender genetic diversity in breeding programs.

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