scholarly journals A Method for Deriving High-Priority Financial Data Items that Must be Improved to Increase Market Capitalization.

2021 ◽  
pp. 109-114
Author(s):  
Yoshioka Tsuyoshi
Keyword(s):  
Customer Satisfaction ◽  
Correlation Coefficient ◽  
Vertical Axis ◽  
Horizontal Axis ◽  
Financial Data ◽  
Data Item ◽  
Analysis Model ◽  
Market Capitalization ◽  
A Company ◽  
Satisfaction Analysis

Market capitalization is one of the most important indicators for gauging the value of a company. Normally, improving financial data increases market capitalization. However, because there are numerous financial data, it is important to derive high-priority financial data items whose improvement can increase market capitalization. To achieve this, in this study, a method was developed using a remodeled customer satisfaction analysis model with financial data of the companies that make up the Nikkei 225. A graph was created with the correlation coefficient on the horizontal axis and the deviation value of each financial data item on the vertical axis, and then the financial data items plotted in the lower right corner of the graph were extracted. Using this method, it is possible to derive high-priority financial data items to increase market capitalization from numerous financial data.

scholarly journals A Method for Deriving High-Priority Financial Data Items that Must be Improved to Increase Market Capitalization

2021 ◽  
pp. 109-115
Author(s):  
Yoshioka Tsuyoshi
Keyword(s):  
Customer Satisfaction ◽  
Correlation Coefficient ◽  
Vertical Axis ◽  
Horizontal Axis ◽  
Financial Data ◽  
Data Item ◽  
Analysis Model ◽  
Market Capitalization ◽  
A Company ◽  
Satisfaction Analysis

Market capitalization is one of the most important indicators for gauging the value of a company. Normally, improving financial data increases market capitalization. However, because there are numerous financial data, it is important to derive high-priority financial data items whose improvement can increase market capitalization. To achieve this, in this study, a method was developed using a remodeled customer satisfaction analysis model with financial data of the companies that make up the Nikkei 225. A graph was created with the correlation coefficient on the horizontal axis and the deviation value of each financial data item on the vertical axis, and then the financial data items plotted in the lower right corner of the graph were extracted. Using this method, it is possible to derive high-priority financial data items to increase market capitalization from numerous financial data.

PENGARUH JASA PELAYANAN FREIGHT FORWARDING TERHADAP KEPUASAN PELANGGAN

2018 ◽  
Author(s):  
Andar Sri Sumantri ◽  
Radix Nugrahanto
Keyword(s):  
Customer Satisfaction ◽  
Service Quality ◽  
Secondary Data ◽  
Sampling Technique ◽  
Positive Influence ◽  
Linear Regression Equation ◽  
Independent Variables ◽  
Freight Forwarder ◽  
Freight Forwarding ◽  
A Company

<p>Customer is an important factor for the survival of a company. At a time, company sometimes didn’t know the level of customer satisfaction. If the company continues with this situation, the company would not know the next strategies to develop the company. There are many factors that connected with customer such as trust, facility and service quality. This research objective is to analyze if there is a positive influence, both individually and simultaneously between independent variables which are trust, facility and service quality to the dependent variable which is customers. In this research the object are the customers of PT Panah Persada Logisindo Semarang. The data sources are primary and secondary data using sampling technique of 80 respondents. The results of multiple linear regression equation show that there is a positive influence and partial significant between (t= 3,543 &gt; ttebal = 1, 99167) Trust, (t=4,976 &gt;ttebal=1,99167 ) Facility and (t =3,908 &gt; ttebal= 1, 99167) Service Quality effected by customer satisfaction.</p><p><strong>Keywords: Trust, Facility, Service Quality, Customer Satisfaction</strong></p><p>Kepuasaan Pelanggan merupakan faktor penting terhadap kelangsungan hidup sebuah perusahaan. Masalah yang dihadapi perusahaan saat ini berkaitan dengan tidak diketahuinya kepuasaan Pelanggan setiap tahun, Jika ini dibiarkan terus menerus, perusahaan tidak dapat menentukan strategi untuk meningkakan kepuasaan pelanggan. Ada banyak faktor yang mempengaruhi Kepuasaan Pelanggandipengaruhi oleh kepercayaan, fasilitas dan Kualitas Pelayanaan. Perumusan masalah, tujuan penelitian dan hipotesis pada latar belakang masalah dan tujuan penelitian ini untuk menganalisis adakah pengaruh yang positif baik secara individual dan simultan antara variabel independen yaitu kepercayaan, fasilitas, kualitas pelayanaan terhadap variabel dependen yaitu Kepuasaan Pelanggan. Pada penelitian ini obyek yang diambil pengguna jasa Freight forwarder PT Panah Persana Logisindo Semarang Sumber data meliputi data primer dan sekunder. Sampel pada penelitian ini adalah 80 responden teknik sampling yang digunakan seluruh populasi dijadikan sample. Berdasarkan hasil penelitian dan analisis berganda dihasilkan persamaan : Hasil persamaan regresi linear berganda menunjukkan bahwa ada pengaruh yang positif dan signifikan secara parsial antara ( t hitung = 3,543&gt; t tabel = 1,99167) kepercayaan, (t hitung4,976 &gt; t tabel =1,99167) Fasilitas ( t hitung = 3,908&gt; t tabel = 1,99167) Kualitas pelayanaan terhadap Kepuasaan Pelanggan.</p><p><strong>Kata kunci : Kepercayaan, Fasilitas, Kualitas Pelanggan. Kepuasaan Pelanggan</strong></p>

Enterprise distribution routing optimization with soft time windows based on genetic algorithm

2021 ◽  
pp. 1-11
Author(s):  
Kaixian Gao ◽  
Guohua Yang ◽  
Xiaobo Sun
Keyword(s):  
Genetic Algorithm ◽  
Customer Satisfaction ◽  
Optimization Problems ◽  
Rapid Development ◽  
Time Windows ◽  
Theory And Practice ◽  
Routing Problem ◽  
Logistics Industry ◽  
Routing Optimization ◽  
A Company

With the rapid development of the logistics industry, the demand of customer become higher and higher. The timeliness of distribution becomes one of the important factors that directly affect the profit and customer satisfaction of the enterprise. If the distribution route is planned rationally, the cost can be greatly reduced and the customer satisfaction can be improved. Aiming at the routing problem of A company’s vehicle distribution link, we establish mathematical models based on theory and practice. According to the characteristics of the model, genetic algorithm is selected as the algorithm of path optimization. At the same time, we simulate the actual situation of a company, and use genetic algorithm to plan the calculus. By contrast, the genetic algorithm suitable for solving complex optimization problems, the practicability of genetic algorithm in this design is highlighted. It solves the problem of unreasonable transportation of A company, so as to get faster efficiency and lower cost.

Three‐component sonde orientation in a deviated well

Geophysics ◽  
1990 ◽  
Vol 55 (10) ◽  
pp. 1386-1388 ◽  
Author(s):  
M. Becquey ◽  
M. Dubesset
Keyword(s):  
Hydraulic Fracturing ◽  
Coordinate System ◽  
Vertical Plane ◽  
Vertical Axis ◽  
Horizontal Axis ◽  
Orthogonal Coordinate System ◽  
Coordinate Rotation ◽  
Orthogonal Components ◽  
Particle Velocities

In well seismics, when operating with a three‐component tool, particle velocities are measured in the sonde coordinate system but are often needed in other systems (e.g., source‐bound or geographic). When the well is vertical, a change from the three orthogonal components of the sonde to another orthogonal coordinate system can be performed through one rotation around the vertical axis and, if necessary, another one around a horizontal axis (Hardage, 1983). If the well is deviated, the change of coordinate system remains easy in the case when the source is located at the vertical of the sonde, or in the case when the source stands in the vertical plane defined by the local well axis. In the general case (offset VSPs or walkaways) or when looking for unknown sources (such as microseismic emissions induced by hydraulic fracturing), coordinate rotation may still be performed, provided that we first get back to a situation in which one of the axes is vertical.

Pengaruh Kualitas Pelayanan, Harga, dan Promosi Terhadap Kepuasan Pelanggan pada PT. Benua Trans Maju Bersama Cabang Medan

2021 ◽  
pp. 88-93
Author(s):  
Nurmaidah Ginting ◽  
Mila sari Br Ginting ◽  
, Ine Selvia Br Tarigan
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Customer Satisfaction ◽  
Service Quality ◽  
Significant Influence ◽  
Quantitative Research ◽  
Analysis Model ◽  
Validity And Reliability ◽  
Normality Test ◽  
Sample Test

in this study is to find out how the influence of service quality, price and promotion on customer satisfaction with the aim of testing and analyzing the effect of service quality, price and promotion on customer satisfaction at PT. Benua Trans Maju Bersama Cabang Medan. The research was started in October 2020 – May 2021. In this study, the researcher used quantitative research techniques with the type of research being descriptive quantitative and the nature of the research was descriptive explanatory research. The population in this study were all customers has 223 customers. where validity and reliability were first tested in order to determine whether a questionnaire was valid or not, and researchers did it to 30 customers and the rest were 143 customers as a sample test. Then it is processed using the classical assumption test which includes: normality test, multicollinearity test, and heteroscedasticity test. The data analysis model in this study uses multiple regression analysis. The conclusion from the results of this study is that there is a service quality partially positive and significant effect on customer satisfaction. The price partially positive and significant effect on customer satisfaction. Promotion positive and significant effect on customer satisfaction Simultaneously the variables of service quality (X1), price (X2) and promotion (X3), there is a positive and significant influence on customer satisfaction (Y).

scholarly journals Why service recovery fails

2009 ◽  
Vol 20 (3) ◽  
pp. 253-273 ◽  
Author(s):  
Stefan Michel ◽  
David Bowen ◽  
Robert Johnston
Keyword(s):  
Customer Satisfaction ◽  
Service Failure ◽  
Human Resources Management ◽  
Service Recovery ◽  
Recovery Process ◽  
Content Type ◽  
Information Recovery ◽  
Service Logic ◽  
Recovery Management ◽  
A Company

PurposeThe keys to effective service recovery are familiar to many throughout industry and academia. Nevertheless, overall customer satisfaction after a failure has not improved, and many managers claim their organizations cannot respond to and fix recurring problems quickly enough. Why does service recovery so often fail and what can managers do about it? This paper aims to address these issues.Design/methodology/approachThe objective is to produce an interdisciplinary summary of the growing literature on service recovery, bringing together what each of the author's domain – management, marketing, and human resources management – has to offer. By contrasting those three perspectives using 141 academic sources, nine tensions between customer, process, and employee recovery are discovered.FindingsIt is argued that service recovery often fails due to the unresolved tensions found between the conflicting perspectives of customer recovery, process recovery, and employee recovery. Therefore, successful service recovery requires the integration of these different perspectives. This is summarized in the following definition: “Service recovery are the integrative actions a company takes to re‐establish customer satisfaction and loyalty after a service failure (customer recovery), to ensure that failure incidents encourage learning and process improvement (process recovery) and to train and reward employees for this purpose (employee recovery).”Practical implicationsManagers are not advised to directly address and solve the nine tensions between customer recovery, process recovery, and employee recovery. Instead, concentrating on the underlying cause of these tensions is recommended. That is, managers should strive to integrate service recovery efforts based upon a “service logic”; a balance of functional subcultures; strategy‐driven resolution of functional differences; data‐based decision making from the seamless collection and sharing of information; recovery metrics and rewards; and development of “T‐shaped” employees with a service, not just functional, mindset.Originality/valueThis paper provides an interdisciplinary view of the difficulties to implement a successful service recovery management. The contribution is twofold. First, specific tensions between customer, process and employee recovery are identified. Second, managers are offered recommendations of how to integrate the diverging perspectives.

scholarly journals Application of mathematical probabilistic statistical model of base – FFCA financial data processing

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Zhengqing Li ◽  
Jiliang Mu ◽  
Mohammed Basheri ◽  
Hafnida Hasan
Keyword(s):  
Big Data ◽  
Statistical Model ◽  
Probability Density ◽  
Mathematical Reasoning ◽  
Statistical Design ◽  
Financial Data ◽  
Data Filtering ◽  
Analysis Model ◽  
Design Data ◽  
Mathematical Probability

Abstract In order to improve the detection and filtering ability for financial data, a data-filtering method based on mathematical probability statistical model, a descriptive statistical analysis model of big data filtering, probability density characteristic statistical design data filtering analysis combined with fuzzy mathematical reasoning, regression analysis according to probability density of financial data distribution, and threshold test and threshold judgment are conducted to realize data filtering. The test results show that the big data filtering and the reliability and convergence of the mathematical model are optimal.

scholarly journals PENGARUH SERVICE QUALITY, SATISFACTION, DAN PERCEIVED SWITCHING COST TERHADAP CUSTOMER LOYALTY OPERATOR SELULER

2020 ◽  
Vol 9 (1) ◽  
pp. 1-16
Author(s):  
Tommy Setiawan Ruslim ◽  
Henryanto Wijaya ◽  
Halim Putera Siswanto ◽  
Hadi Cahyadi
Keyword(s):  
Customer Satisfaction ◽  
Service Quality ◽  
Social Relations ◽  
Customer Loyalty ◽  
Cell Phone ◽  
Switching Cost ◽  
Cell Phone Use ◽  
Mobile Operator ◽  
Personal Needs ◽  
A Company

The need for cell phone use can be said to be a necessity that cannot be avoided anymore in this day and age, both its use in communicating in business needs, personal needs to social relations with others. The importance of maintaining customer loyalty is very significant to the survival of a company, to maintain customer loyalty many variables that can influence it. This study examines the effect of service quality, customer satisfaction, perceived switching cost on customer loyalty of "X" mobile operator users at a university in West Jakarta. In this research, it was founded that was a positive and significant effect service quality, customer satisfaction, perceived switching cost on customer loyalty of "X" mobile operator users at a university in West Jakarta.

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