scholarly journals Research and Innovative Design of Search Engine for Banking Industry Decision-makers

2018 ◽  
Author(s):  
Huaihai Hui ◽  
Des McLernon ◽  
Ali Zaidi
Keyword(s):  
Search Engine ◽  
Banking Industry ◽  
Decision Makers ◽  
Innovative Design

Policymaking to Enhance Customer Loyalty by E-CRM

2019 ◽  
pp. 135-159
Author(s):  
Maysam Saifi
Keyword(s):  
System Dynamics ◽  
Customer Loyalty ◽  
Dynamic Models ◽  
Banking Industry ◽  
Relationship Management ◽  
Decision Makers ◽  
Policy Implications ◽  
Customer Relationship ◽  
Causal Loop ◽  
Major Decision

This chapter is about using the methodology of system dynamics for the analysis of the effect of electronic customer relationship management (e-CRM) on customer loyalty in the banking industry. For this purpose, after reviewing the existing theoretical literature, a research model including factors describing e-CRM in the bank based on the system dynamics approach is determined. Afterward, according to views of two major decision makers of one of the branches of the Iranian Tejarat Bank, causal loop diagrams and dynamic models of the system are defined that make it possible to describe trends of the past, present, and future of the e-CRM and customer loyalty in the bank. After verifying the validity of the model with the test of model structure, the test of model behavior, and test of policy implications, policies are described and explained.

scholarly journals Electronic Funds Transfer Systems: An Empirical Analysis Of User Interests

2011 ◽  
Vol 4 (1) ◽  
pp. 173 ◽  
Author(s):  
Donald W. Eckrich ◽  
James R. Moore ◽  
Vijay Bhasin
Keyword(s):  
Decision Making ◽  
Empirical Analysis ◽  
Operating Systems ◽  
Banking Industry ◽  
Decision Makers ◽  
User Interests ◽  
Marketing Function ◽  
Marketing Decision ◽  
Bank Marketing

Electronic Funds Transferring Systems have imposed a new dimension on bank marketing decision makers. An industry-wide trend toward greater automation in bank operating systems has not been as favorable received by consumers as first anticipated. Thus, as a first step toward improved decision making in the banking industry, the bank marketing function must be considered. A large innovating Midwestern consumer bank became the first in a 70 mile radius to implement a 24-Hour EFTS service. A total of 1728 users of this EFTS service provided the basis for this research to further explore consumer transaction interests and values attached to select service attributes.

scholarly journals Mediating and Moderating Factors Affecting Readiness to IoT Applications: The Banking Sector Context

2020 ◽  
Vol 12 (4) ◽  
pp. 1-26
Author(s):  
RashaAbd El-Aziz ◽  
Sarah El-Gamal ◽  
Miran Ismail
Keyword(s):  
Technology Adoption ◽  
Banking Sector ◽  
Banking Industry ◽  
Decision Makers ◽  
User Intention ◽  
Factors Affecting ◽  
Iot Applications ◽  
Moderating Factors ◽  
Main Factors ◽  
The Relationship

Although IOT seems to be the upcoming trend, it is still in its infancy; especially in the banking industry. There is a clear gap in literature, as only few studies identify factors affecting readiness to IOT applications in banks in general, and almost negligible investigations on mediating and moderating factors. Accordingly, this research aims to investigate the main factors that affect employees’ readiness to IOT applications, while highlighting the mediating and moderating factors in the Egyptian banking sector. The importance of Egypt stems from its high population and steady steps taken towards technology adoption. 479 valid questionnaires were distributed over HR employees in banks. Data collected was statistically analysed using Regression and SEM. Results showed a significant impact of ‘Security’, ‘Networking’, ‘Software Development’ and ‘Regulations’ on ‘readiness to IOT applications. Thus, the readiness acceptance level is high‘Security’ and ‘User Intention’ were proven to mediate the relationship between research variables and readiness to IOT applications, and only a partial moderation role was proven for ‘Efficiency’. The study contributes to increasing literature on IOT applications in general, and fills a gap on the Egyptian banking context in particular. Finally, it provides decision makers at banks with useful guidelines on how to optimally promote IOT applications among employees.

scholarly journals Business Intelligence and Analytics: Paving way for Operational Excellence in Indian Banks

2016 ◽  
Vol 3 (1) ◽  
Author(s):  
Rekha Mishra
Keyword(s):  
Business Intelligence ◽  
Banking Industry ◽  
Banking System ◽  
Decision Makers ◽  
Case Study Analysis ◽  
Major Transformation ◽  
Indian Banks ◽  
Operational Excellence

<em>India’s banking industry is undergoing through a phase of major transformation, with entry of more players in an already competitive environment and as a result one common theme being seen across banks in India is increased adoption of business intelligence (BI) and analytics to drive their overall profitability. Can Business Intelligence and analytics assist in resolving some of the issues faced by modern day banks in India? This study explored Business Intelligence and Analytics application in Indian Banks using focused interviews, press release, bank website review and case study analysis. The study found tools and technologies being used and various areas of BI application in banks. It also found the areas in need of improvement, issues and challenges faced by Indian Banks in their BI and analytics implementation agenda. It is hoped that this study will serve as a knowledge base about BI and analytics in Indian bank and would assist managers, decision makers and researcher in making better informed decision. The study also provides the scope for further research in the role of Business Intelligence and Analytics in Indian Banking system.</em>

scholarly journals Historical Typhoon Search Engine Based on Track Similarity

2019 ◽  
Vol 16 (24) ◽  
pp. 4879 ◽  
Author(s):  
Meng-Han Tsai ◽  
Hao-Yung Chan ◽  
Chun-Mo Hsieh ◽  
Cheng-Yu Ho ◽  
Hung-Kai Kung ◽  
...  
Keyword(s):  
Search Engine ◽  
Critical Factor ◽  
Potential Effect ◽  
Decision Makers ◽  
Information Display ◽  
Preliminary Work ◽  
Typhoon Track ◽  
Similarity Algorithm ◽  
Extent Of Damage ◽  
The Impact

The potential effect of a typhoon track on the extent of damage makes the track a critical factor during the emergency response phase. Historical typhoon data may provide information for decision makers to anticipate the impact of an upcoming typhoon and develop prevention strategies to reduce the damage. In our preliminary work, we proposed a track similarity algorithm and implemented a real-time search engine for past typhoon events. However, the proposed algorithm was not discussed thoroughly in the preliminary work, and the great number of historical typhoon track records slowed down the similarity calculations. In addition, the tool did not feature the option of automatically importing upcoming typhoon track predictions. This research introduces the assumption of the recentness dominance principle (RDP), explores the details of the track similarity algorithm of the preliminary work, completes the discussion of parameter setting, and developed a method to improve the efficiency of the similarity calculation. In this research, we implemented the proposed advanced methodology by developing a new information display panel featuring the ability to auto-import forecast data. The results of this study provide decision makers and the public with a concise and handy search engine for searching similar historical typhoon records.

scholarly journals OPENPOLAR.NO

2021 ◽  
Author(s):  
Tamer Abu-Alam ◽  
Per Pippin Aspaas
Keyword(s):  
Open Access ◽  
Search Engine ◽  
Open Science ◽  
Research Data ◽  
Decision Makers ◽  
The Arctic

In this episode, we discuss the new service Open Polar: The Global Open Access Portal for Research Data and Publications on the Arctic and Antarctic (openpolar.no). Presenting only freely available documents on the Arctic and Antarctic, Open Polar is a thematic search engine that can be a useful tool for both researchers and decision makers. Tamer Abu-Alam explains the reasons for filtering out all research documents that are not available in open access, thereby promoting open science. Of the 1,8 million records currently included in Open Polar, approx. 22,5 percent are research datasets, which makes the service unique. First published online August 30, 2021.

An Analytical Approach for Evaluation of ATM Deployment Problem Criteria

2017 ◽  
Vol 16 (05) ◽  
pp. 1247-1278 ◽  
Author(s):  
Derya Celik Turkoglu ◽  
Mujde Erol Genevois
Keyword(s):  
Decision Process ◽  
Banking Industry ◽  
Evaluation Process ◽  
Analytic Network Process ◽  
Decision Makers ◽  
Importance Value ◽  
Location Selection ◽  
Network Process ◽  
The Right ◽  
The Impact

Automated Teller Machines (ATMs) are one of the most important key touch-points to reach the customers. The investment in ATMs and the impact on the banking industry is growing steadily. Therefore, in order to increase the profitability, banks seek to make their investments in the right places for ATMs. Banks have to take into consideration many factors such as traffic flow, competition, cost and safety in order to determine the optimum locations of ATMs. This paper proposes a decision support system that determines the importance value of ATM deployment decision criteria which can be used to decide the best ATM locations afterwards. Fuzzy Analytic Network Process (FANP) methodology is preferred to evaluate the importance levels of deployment criteria and Chang’s extent analysis is employed for eliminating the vagueness of the decisions from the evaluation process. The decision-makers are asked to express their opinions on the comparative importance of various factors in linguistic terms. These linguistic variable scales are then converted into fuzzy numbers, since it becomes more meaningful to quantify a subjective measurement into a range rather than an exact value. Finally, the relative importance of the criteria is obtained. The decision process includes the identification of 17 criteria grouped into 5 clusters which are named financial, commercial, traffic, demographic and strategic. The application of the proposed method was performed for Turkish banking industry. Number of Bank’s ATMs, Expected Level of Commission Income and Expected Level of Transaction Income were found as the three most significant criteria that should be analyzed deeply by the decision makers in ATM location selection decision. The results of the proposed method considered applicable and valid by the experts who included in the decision process and this analysis demonstrated by their responses to a set of questions.

Who owns a personal home page?

2003 ◽  
Vol 62 (2) ◽  
pp. 121-129 ◽  
Author(s):  
Astrid Schütz ◽  
Franz Machilek
Keyword(s):  
Search Engine ◽  
Home Page ◽  
Sampling Strategies ◽  
Home Pages ◽  
Personal Home Pages ◽  
Age And Sex

Research on personal home pages is still rare. Many studies to date are exploratory, and the problem of drawing a sample that reflects the variety of existing home pages has not yet been solved. The present paper discusses sampling strategies and suggests a strategy based on the results retrieved by a search engine. This approach is used to draw a sample of 229 personal home pages that portray private identities. Findings on age and sex of the owners and elements characterizing the sites are reported.

EURRECA’s Approach for Estimating Micronutrient Requirements

2011 ◽  
Vol 81 (4) ◽  
pp. 256-263 ◽  
Author(s):  
Christophe Matthys ◽  
Pieter van ‘t Veer ◽  
Lisette de Groot ◽  
Lee Hooper ◽  
Adriënne E.J.M. Cavelaars ◽  
...  
Keyword(s):  
Reference Values ◽  
Policy Decision ◽  
Individual Variability ◽  
The Body ◽  
Decision Makers ◽  
Nutrient Requirements ◽  
Factorial Approach ◽  
Dietary Reference Values ◽  
Health Policy Decision ◽  
Quantitative Integration

In Europe, micronutrient dietary reference values have been established by (inter)national committees of experts and are used by public health policy decision-makers to monitor and assess the adequacy of diets within population groups. The approaches used to derive dietary reference values (including average requirements) vary considerably across countries, and so far no evidence-based reason has been identified for this variation. Nutrient requirements are traditionally based on the minimum amount of a nutrient needed by an individual to avoid deficiency, and is defined by the body’s physiological needs. Alternatively the requirement can be defined as the intake at which health is optimal, including the prevention of chronic diet-related diseases. Both approaches are confronted with many challenges (e. g., bioavailability, inter and intra-individual variability). EURRECA has derived a transparent approach for the quantitative integration of evidence on Intake-Status-Health associations and/or Factorial approach (including bioavailability) estimates. To facilitate the derivation of dietary reference values, EURopean micronutrient RECommendations Aligned (EURRECA) is developing a process flow chart to guide nutrient requirement-setting bodies through the process of setting dietary reference values, which aims to facilitate the scientific alignment of deriving these values.

Haunted by a Doppelgänger

2014 ◽  
Vol 61 (1) ◽  
pp. 12-22 ◽  
Author(s):  
Bettina von Helversen ◽  
Stefan M. Herzog ◽  
Jörg Rieskamp
Keyword(s):  
Relevant Information ◽  
Psychological Research ◽  
Decision Makers ◽  
Human Judgment ◽  
Rule Based ◽  
New Employees ◽  
High Performing ◽  
Facial Similarity ◽  
Similarity Effect ◽  
Judgment Strategy

Judging other people is a common and important task. Every day professionals make decisions that affect the lives of other people when they diagnose medical conditions, grant parole, or hire new employees. To prevent discrimination, professional standards require that decision makers render accurate and unbiased judgments solely based on relevant information. Facial similarity to previously encountered persons can be a potential source of bias. Psychological research suggests that people only rely on similarity-based judgment strategies if the provided information does not allow them to make accurate rule-based judgments. Our study shows, however, that facial similarity to previously encountered persons influences judgment even in situations in which relevant information is available for making accurate rule-based judgments and where similarity is irrelevant for the task and relying on similarity is detrimental. In two experiments in an employment context we show that applicants who looked similar to high-performing former employees were judged as more suitable than applicants who looked similar to low-performing former employees. This similarity effect was found despite the fact that the participants used the relevant résumé information about the applicants by following a rule-based judgment strategy. These findings suggest that similarity-based and rule-based processes simultaneously underlie human judgment.

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