Customer Approach Research Articles

Značaj društvenih mreža kao digitalnih kanala komunikacije u srpskim bankama

The implementation of modern digital technologies in banking, as well as the integration of communication and sales channels are significant factors for business success in the banking market. Specifically, the benefits of digital banking are the ability to optimize and standardize services and more efficient customer approach, resulting in higher quality of service and lower costs of delivery. The method and form of communication with current and future clients is often a decisive factor in gaining loyalty and increasing the customer base, and digital communication channels, and above all social networks, have a significant upward trend in modern banking. The study whose results are presented in this paper, was aimed to investigate the views of bank managers regarding the influence of social networks, as digital channels of communication, on the profitability of banks in Serbia. The results show that managers believe that in order to increase market share and improve customer relations, banks should continuously invest resources in educating both their employees and their clients in respect to digital communication, and particularly in terms of communication through social networks. In addition to continuous employee education, the bank should observe and implement relevant modern technologies related to digital communication platforms, as this business model is an inevitable trend in modern banking.

Yığın Kişiselleştirme Yaklaşımı Ve Örnek Uygulama - Mass Customization And Sample Application

Unpredictable demand, heterogeneous customer requests, short product life cycles, increase in the demand for customized and quality product and services and technological and innovative discoveries that enable all these have boosted the rivalry between enterprises. The role of mass customization system in defining and meeting the requests and necessities of the customers who are the focal point of this rivalry in an efficient and adequate manner has increased since 1980’s. Mass customization means offering products that meet the requirements and the necessities of the customers at mass production costs. Mass customization system which provides for the customer participation at different points of product value chain provides the opportunity to customize products in different levels. In the kitchen production industry where design-production-assembly and distribution stages of the production are completely determined according to the specifications of the product which is going to be presented to the customer, mass customized products provide cost advantages. Aim of this study is to be able to present the cost advantage by comparing the costs of Enterprise B which custom produces kitchens and Enterprise A which produces modular kitchens with mass customization approach. To that end, cost data of the two enterprises analyzed and it was seen that the enterprise which uses mass customization production system gains cost advantage by using scale and scope economies efficiently.

Optimization Approach for Web Customers on Recommendation System Using Collaborative Filtering

The recent development in the Internet technology is very useful for the growth of enterprises. Almost every organization is on the internet and many of them have started their business through e-commerce. Organizations collect information about customers and their business transactions which are very beneficiary for their business growth. Data mining is a set of techniques used to extract unknown pieces of information from the large database repository. There are various Data Mining Techniques are available to extract valuable and useful information for enterprises. Data mining techniques help e-commerce business in many ways. This paper investigates the manipulation of e-commerce on markets where positioned businesses face competitors from web-established entrants with targeted options. In this paper, we proposed a technique which is based on recommendation system for the discounted items for the different procedures.

A Cluster-Based Baseline Load Calculation Approach for Individual Industrial and Commercial Customer

Demand response (DR) in the wholesale electricity market provides an economical and efficient way for customers to participate in the trade during the DR event period. There are various methods to measure the performance of a DR program, among which customer baseline load (CBL) is the most important method in this regard. It provides a prediction of counterfactual consumption levels that customer load would have been without a DR program. Actually, it is an expected load profile. Since the calculation of CBL should be fair and simple, the typical methods that are based on the average model and regression model are the two widely used methods. In this paper, a cluster-based approach is proposed considering the multiple power usage patterns of an individual customer throughout the year. It divides loads of a customer into different types of power usage patterns and it implicitly incorporates the impact of weather and holiday into the CBL calculation. As a result, different baseline calculation approaches could be applied to each customer according to the type of his power usage patterns. Finally, several case studies are conducted on the actual utility meter data, through which the effectiveness of the proposed CBL calculation approach is verified.

What predicts outcome of an Internet-delivered therapy? The role of socio-economic status and gambling behavior

This study analyzed the outcome predictors of an Internet-delivered cognitive behavior therapy (ICBT) for problem gambling, examining users' socio-economic profile and gambling behavior. Being males and employed, the fact of playing and to have gambling problems for less than a year, preference for non strategy-based games, and high frequency of playing were found to be predictors of therapy dropout. The findings from this study, though preliminary, suggest that certain patients' socio-economic characteristics and gambling behavior may have a bearing on the success or failure of an ICBT and that there is a need to adapt the therapy for those individuals at risk. In fact, detect at an early stage of the therapeutic relationship those patients with a greater propensity to dropout may allow the implementation of appropriate and customized approaches to reduce the difficulties to follow and complete a therapy.

JOURNAL CLUB: Structured Reporting: The Voice of the Customer in an Ongoing Debate About the Future of Radiology Reporting.

The purpose of this survey was to assess the perception, preferences, and expectations of recipients of radiology reports in terms of style and content. In 2016, 3610 general practitioners and hospital-based physicians in northwestern Switzerland were invited to participate in a survey. The questionnaire consisted of a demographics section, a current satisfaction section, and a section addressing expectations and preferences concerning content and structure. The participants were asked to rate (range of scores, 1-10) four different layouts of radiology reports (text, structured text, tables, images) in terms of comprehensibility and efficiency. A total of 570 participants (132 general practitioners, 438 hospital physicians at five hospitals) completed the survey. Regarding layout preferences, structured text (median, 8) and images (median, 7) rated highest in terms of readability, time saving, and helpfulness in communication with patients compared with tables (median, 5) and unstructured text (median, 4). The participants responded that reports should give normal values as references (60% [344/570] positive), mention normal structures (50% [286/570] positive), and list additional findings in the summary (89% [507/570] positive). Positive ratings for a confidence statement (54% [308/570]), a list of differential diagnoses (89% [507/570]), and a recommendation (66% [377/570]) indicated an active radiologist's role is appreciated. Eighty percent (459/570) of respondents stated a report should allow fast and efficient reading. The voice of the customer approach shows referring physicians have distinct expectations and specific but predominantly coherent preferences with regard to radiology reporting. The survey results offer valuable specific feedback and a strong argument in favor of structured reporting.

Response Burden Management for Establishment Surveys at Four National Statistical Institutes

Abstract Managing response burden is key to ensuring an ongoing and efficient supply of fit-forpurpose data. While statistical organizations use multi-faceted approaches to achieve this, response burden management has become an essential element of the strategy used by the U.S. Census Bureau, Statistics New Zealand, Statistics Canada, and Statistics Netherlands. Working in collaboration with respondents, with internal resources dedicated to provide customized approaches for large respondents and with other stakeholders (constituency representatives, associations, etc.) response burden management endeavors to minimize burden and educate stakeholders on the benefit of official statistics. The role continues to evolve with important initiatives regarding the compilation of burden metrics, improvements to existing tracking tools, and an expanded communication role.

A customized approach for arm fat reduction using cryolipolysis.

Cryolipolysis of the arms has been demonstrated to be an effective treatment for non-invasive reduction of subcutaneous fat. This study evaluated the safety and efficacy of the concurrent use of a new commercially-available small applicator in conjunction with an existing medium sized applicator for the customized treatment of arm fat. Bilateral arms of 15 eligible subjects were simultaneously treated using one or two vacuum applicators with flat contours. Either a medium or small cryolipolysis applicator with an oblong cup-shaped cooling surface was selected to treat upper arm fat. The shape of the fat bulge in each subject's arm was assessed and up to two treatment cycles (-11°C for 35 minutes each) were delivered to each arm in one session, based upon investigator discretion. Throughout the procedure and at the completion of each treatment cycle, investigators assessed the subject's level of comfort, as well as sensory and motor nerve effects. Post-treatment manual massage was performed, and clinical assessments of each treatment site were recorded. Adverse events were recorded to monitor procedural safety. Baseline and 12 weeks post-treatment photographs and ultrasound measurements were taken to assess efficacy. Subject questionnaires were administered to evaluate satisfaction. Fifteen female subjects (mean age of 51.1, mean BMI of 26.8) completed the study. Ultrasound imaging revealed statistically significant fat layer reduction of 2.5 mm (SD ± 2.4 mm, 95%CI 1.6-3.3). Subject surveys administered 12 weeks post-treatment demonstrated 87% satisfaction with the arm cryolipolysis procedure. A panel of blinded, independent physicians correctly identified 83% of the before and after photos. Clinical assessments found adverse events were mild and included erythema and mild swelling that resolved without intervention. Mild treatment area numbness was reported by 73% of subjects at the 4-week interim visit and fully resolved at the 12-week visit. This study documents the first reported customized approach for assessment and treatment of arm fat using a small or medium cup applicator with varied applicator placement. By incorporating one or two treatment cycles per arm in a single session, the issue of variable fat distribution in people's arms can be addressed. This approach was shown to be a safe and effective way to reduce unwanted arm fat with high patient satisfaction. Lasers Surg. Med. © 2018 Wiley Periodicals, Inc.

Analysis of infield rainwater harvesting and land use change impacts on the hydrologic cycle in the Wami River basin

The management of water resources in a river basin experiencing the expansion of agricultural activities requires a proper understanding of impacts on its hydrologic cycle. This study focused on the analysis of impacts of infield rainwater harvesting (IRWH) and future agricultural expansion as land and water uses change (LWUC) on the hydrologic cycle in the Wami River basin (Tanzania) using the Soil and Water Assessment Tool (SWAT). In the SWAT model, IRWH was implemented by fragmenting rainwater harvesting hydrological response units (HRUs) from cropland HRUs and assigning them as potholes for rainwater impoundment. LWUC was implemented by customizing land cover types and their corresponding model parameters in all original HRUs, and introducing projected water uses in the model. The study thus demonstrated the successful modelling of IRWH and land use change in the SWAT model using HRU fragmentation and customization approaches, respectively. The results indicated that IRWH applications in croplands led to a large increase in evapotranspiration (ET) and the soil water content, and a decrease in percolation, especially in the dry years. However, the average annual streamflow showed negligible changes when IRWH was implemented, even in 50% of current low-coverage croplands in the river basin. Thus, IRWH applications in the river basin are recommended. The results also indicated that LWUC caused huge changes in ET, the soil water content, percolation and the streamflow from the river basin. The average annual streamflow was predicted to decrease by 26% due to LWUC. However, land use change alone without projected water uses was predicted to cause a minor decrease of about 1% in the average annual streamflow. Therefore, further studies on the eco-hydrology of the river basin under various water use scenarios are recommended prior to the expansion of agricultural areas.

Pengukuran Kinerja RSUD Dr. Saiful Anwar Melalui Metode Balanced Scorecard

The purpose of research to find out the performance measurement of RSUD Dr. Saiful Anwar through Balanced Scorecard method. The research method used in this research using mixed methods approach. The result of research shows that the measurement of public performance based on Balanced Scorecard method of RSUD Dr.Saiful Anwar Malang 2014 - 2016 is divided into 4 approaches: customer approach, financial approach, approach with internal business process and overall learning & growth are included in good performance. The performance of hospitals Dr.Saiful Anwar Malang in the perspective of customers included in the category very well with the value reached 83.28, Performance RSUD Dr.Saiful Anwar Malang in the financial perspective included in the category good, Performance RSUD Dr.Saiful Anwar Malang in the perspective of internal business processes including in good category, and the performance of RSUD Dr.Saiful Anwar Malang in perspective of Learning & Growth included in good category, so it can be said that RSUD Dr.Saiful Anwar Malang able to increase employee capability and employee commitment.

A Custom Approach for a Flexible, Real-Time and Reliable Software Defined Utility.

Information and communication technologies (ICTs) have enabled the evolution of traditional electric power distribution networks towards a new paradigm referred to as the smart grid. However, the different elements that compose the ICT plane of a smart grid are usually conceived as isolated systems that typically result in rigid hardware architectures, which are hard to interoperate, manage and adapt to new situations. In the recent years, software-defined systems that take advantage of software and high-speed data network infrastructures have emerged as a promising alternative to classic ad hoc approaches in terms of integration, automation, real-time reconfiguration and resource reusability. The purpose of this paper is to propose the usage of software-defined utilities (SDUs) to address the latent deployment and management limitations of smart grids. More specifically, the implementation of a smart grid’s data storage and management system prototype by means of SDUs is introduced, which exhibits the feasibility of this alternative approach. This system features a hybrid cloud architecture able to meet the data storage requirements of electric utilities and adapt itself to their ever-evolving needs. Conducted experimentations endorse the feasibility of this solution and encourage practitioners to point their efforts in this direction.

ГЕНДЕРНЫЕ РАЗЛИЧИЯ ПРИ ИНФАРКТЕ МИОКАРДА В ИСХОДЕ ОКС С ПОДЪЕМОМ СЕГМЕНТА ST В РЕСПУБЛИКЕ БУРЯТИЯ

Evidential base for diagnosis and treatment of myocardial infarction is based on the results of randomized clinical
 studies that included mostly male patients.
 Objective: to determine gender specifics in development, progression, methods of treatment, diagnostics, outcomes of
 myocardial infarction for defining customized approaches to its treatment.
 Study material and methods: 84 medical records of patients with myocardial infarction – 50 male and 54 female patients
 admitted in the emergency cardiac care department. Statistical data is processed in Microsoft Excel and Statistica v. 10.0.
 Results. Female patients suffer myocardial infarction late in life; they display higher obesity rate, renal dysfunction, type
 2 diabetes as compared to male patients. At the time of admission to hospital the risk of hemorrhage is higher among
 female patients, which is related to the higher rate of renal disfunction and age. Average CRUSADE score for female
 patients is 39.14 ± 2.5, for male patients – 22.7 ± 1.4 points. Female patients demonstrate higher frequency of atypical
 symptoms for myocardial infarction – 18 %, compared to 8 % for males (p = 0.05), that leads to prolongated period
 of symptom-hospitalization. Thus, there are less women who are hospitalized within first 3 hours – 6 % against 28 %
 men (p = 0.01). Women display tendency to a higher frequency of Q-negative and recurrent myocardial infarctions,
 men – to first-time and Q-positive infarctions. As for the frequency of CAG, TLT and PCI, as well as mortality rate due
 to MI there is no difference between the groups.

Signal Processing in Functional Near-Infrared Spectroscopy (fNIRS): Methodological Differences Lead to Different Statistical Results.

Even though research in the field of functional near-infrared spectroscopy (fNIRS) has been performed for more than 20 years, consensus on signal processing methods is still lacking. A significant knowledge gap exists between established researchers and those entering the field. One major issue regularly observed in publications from researchers new to the field is the failure to consider possible signal contamination by hemodynamic changes unrelated to neurovascular coupling (i.e., scalp blood flow and systemic blood flow). This might be due to the fact that these researchers use the signal processing methods provided by the manufacturers of their measurement device without an advanced understanding of the performed steps. The aim of the present study was to investigate how different signal processing approaches (including and excluding approaches that partially correct for the possible signal contamination) affect the results of a typical functional neuroimaging study performed with fNIRS. In particular, we evaluated one standard signal processing method provided by a commercial company and compared it to three customized approaches. We thereby investigated the influence of the chosen method on the statistical outcome of a clinical data set (task-evoked motor cortex activity). No short-channels were used in the present study and therefore two types of multi-channel corrections based on multiple long-channels were applied. The choice of the signal processing method had a considerable influence on the outcome of the study. While methods that ignored the contamination of the fNIRS signals by task-evoked physiological noise yielded several significant hemodynamic responses over the whole head, the statistical significance of these findings disappeared when accounting for part of the contamination using a multi-channel regression. We conclude that adopting signal processing methods that correct for physiological confounding effects might yield more realistic results in cases where multi-distance measurements are not possible. Furthermore, we recommend using manufacturers’ standard signal processing methods only in case the user has an advanced understanding of every signal processing step performed.

Orthodontic and orthopedic treatment for a growing patient with Tessier number 0 cleft

The purpose of this case report was to introduce the concept of orthodontic and orthopedic treatment for a growing patient with Tessier number 0 cleft. A 5-year-old boy patient with Tessier number 0 cleft presented congenitally missing maxillary central incisors (MXCI), a bony defect at the premaxilla, a constricted maxillary arch, an anterior openbite, and maxillary hypoplasia. His treatment was divided into three stages: management of the bony defect at the premaxilla and the congenitally missing MXCIs using a fan-type expansion plate, iliac bone grafting, and eruption guidance of the maxillary lateral incisors into the graft area for substitution of MXCIs; management of the maxillary hypoplasia using sequential facemask therapy with conventional and skeletal anchorage; and management of the remaining occlusal problems using fixed orthodontic treatment. The total treatment duration was 15 years and 10 months. Class I canine and Class II molar relationships and normal overbite and overjet were achieved at the end of treatment. Although the long-term use of facemask therapy resulted in significant protraction of the retrusive maxilla, the patient exhibited Class III profile because of continued mandibular growth. However, the treatment result was well maintained after 2 years of retention. The findings from this case suggest that interdisciplinary and customized approaches are mandatory for successful management of maxillary hypoplasia, bony defect, and dental problems in Tessier number 0 cleft. Moreover, considering the potential of orthognathic surgery or distraction osteogenesis, meticulous monitoring of mandibular growth until growth completion is important.

Petri Net Model of a Smart Factory in the Frame of Industry 4.0

Industry 4.0 advocates an intensive use of information and communication technologies in manufacturing facilities for achieving sustainability and success in a market with exigent and informed consumers willing personalized products and services. Three main concepts of the Industry 4.0 paradigm are addressed: cyber-physical systems, the Internet of Things, and virtualization. A Petri net model of a smart factory regarding the Industry 4.0 paradigm is proposed as virtualization for decision making support. Enhanced computing and communication capabilities of machines and products allow implementing the approach of mass customization. Any product is associated to a sequence of services, being able to request them to the appropriate machines. The formalism of the object Petri nets has been chosen, where a token net is associated to the product and a system net to the facility. The resulting model can be considered for analysis, performance evaluation, and decision making support.

The Identification of Portfolio Attraction (Customer) Approaches; Case Study: Iran Insurance Company - Tabriz City

The Identification of Portfolio Attraction (Customer) Approaches; Case Study: Iran Insurance Company - Tabriz City

HANDLING SPECIFIC ISSUES OF WASTE HAZARDOUSNESS EVALUATION ACCORDING TO WASTE TYPE

The aim of this article is to demonstrate for one relevant case study how to make a correct waste classification according to the harmonized European laws facing different issues according to the waste type. Waste hazard characterization should be based on data about waste source/origin, waste producing process, waste description, data on the waste appearance, composition as well as results from tailored prescribed analytical tests to complement the necessary information in different producer s management scenarios in order to have a documented characterization. The resulted customized step wise methodological approach should guide any producer to seek specialized information from a third party in case of doubt on waste hazardousness, namely when the generated waste is a mirror entry type. The conclusions are presented in relation to the beneficial impact for the waste producer in order to positive responds to the European endeavor of waste improvement management creating the premises to make a transition to a circular economy.

Spotlight on customization: An analysis of necessity and sufficiency in services

This study aims to advance the service management literature by further illuminating the relationships between service employees' adaptive behaviors and customer satisfaction. Using data from a survey of 349 customers of an insurance company, this study employs fuzzy-set Qualitative Comparative Analysis to examine how distinct levels of service-offering adaptive behavior and interpersonal adaptive behavior relate to customer satisfaction. The results show that interpersonal adaptive behavior is a necessary condition or, in other words, a prerequisite for high customer satisfaction. In addition, the results show that a high level of service-offering adaptive behavior is a sufficient condition or, in other words, a guarantee for high customer satisfaction. These findings improve the understanding of the explicit connections between customization approaches and satisfaction in services and help guide service managers in developing effective and efficient service designs.

Flourishing Demand for shopping websites as an opportunity forforthcoming Entrepreneurs

The government initiative to make a Digital Bharat i.e. India is booming the demand for shopping websites for the entrepreneurs. The Customer's approach towards shopping is also shifting form stores to online, as store shopping is stressful and time consuming. This shift towards online is not only for shopping goods and services but for receiving latest information and market trends too. The research is a primary analysis of 90 respondents i.e. 50 respondents of Snapdeal and 40 respondents of Flipkart. The study rated the factors of online purchasing and found that cash back benefits, accessibility, delivery time, varieties of products and discounts on products. Results of this study provide a valuable reference for entrepreneurs using online shopping websites. The Entrepreneurs must make it sure that their company websites should be easy and convenient to use.

Performance Assessment of Tailored Split-Window Coefficients for the Retrieval of Lake Surface Water Temperature from AVHRR Satellite Data

Although lake surface water temperature (LSWT) is defined as an essential climate variable (ECV) within the global climate observing system (GCOS), current satellite-based retrieval techniques do not fulfill the GCOS accuracy requirements. The split-window (SW) retrieval method is well-established, and the split-window coefficients (SWC) are the key elements of its accuracy. Performances of SW depends on the degree of SWC customization with respect to its application, where accuracy increases when SWC is tailored for specific situations. In the literature, different SWC customization approaches have been investigated, however, no direct comparisons have been conducted among them. This paper presents the results of a sensitivity analysis to address this gap. We show that the performance of SWC is most sensitive to customizations for specific time-windows (Sensitivity Index SI of 0.85) or spatial extents (SI 0.27). Surprisingly, the study highlights that the use of separated SWC for daytime and night-time situations has limited impact (SI 0.10). The final validation with AVHRR satellite data showed that the subtle differences among different SWC customizations were not traceable to the final uncertainty of the LSWT product. Nevertheless, this study provides a basis to critically evaluate current assumptions regarding SWC generation by directly comparing the performance of multiple customization approaches for the first time.