scholarly journals The Optimization Strategies on Clarification of the Misconceptions of Big Data Processing in Dynamic and Opportunistic Environments

2021 ◽  
Vol 5 (3) ◽  
pp. 38
Author(s):  
Wei Li ◽  
Maolin Tang
Keyword(s):  
Big Data ◽  
Impact Factors ◽  
Problem Size ◽  
Data Problem ◽  
Minimum Number ◽  
Overall Performance ◽  
The Impact ◽  
The Given ◽  
The Relationship ◽  
Mapreduce Paradigm

This paper identifies four common misconceptions about the scalability of volunteer computing on big data problems. The misconceptions are then clarified by analyzing the relationship between scalability and the impact factors including the problem size of big data, the heterogeneity and dynamics of volunteers, and the overlay structure. This paper proposes optimization strategies to find the optimal overlay for the given big data problem. This paper forms multiple overlays to optimize the performance of individual steps in terms of MapReduce paradigm. The optimization is to achieve the maximum overall performance by using a minimum number of volunteers, not overusing resources. This paper has demonstrated that the simulations on the concerned factors can fast find the optimization points. This paper concludes that always welcoming more volunteers is an overuse of available resources because they do not always bring benefit to the overall performance. Finding optimal use of volunteers are possible for the given big data problems even on the dynamics and opportunism of volunteers.

The Impact of Bar Service Operation Practices on Organizational Performance in Indian Hotel Industry

2015 ◽  
Vol 8 (1) ◽  
Author(s):  
Mohinder C. Dhiman ◽  
Abhishek Ghai
Keyword(s):  
Organizational Performance ◽  
Hotel Industry ◽  
Demographic Variables ◽  
Study Results ◽  
Service Operation ◽  
Managerial Implications ◽  
Overall Performance ◽  
The Impact ◽  
The Relationship ◽  
Bivariate Test

The paper has a two fold purpose - examine the impact of bar service operation practices (BSOP) on organizational performance (OP) and study the relationship between organizational performance and demographic variables. Based on a survey of 362 bar managers perceptions on the impact of bar service operation practices on organizational performance were assessed by 59 practices and 6 demographic variables. Bivariate test and ANOVA were employed to test the working hypothesis in the study. Results indicated that there is a positive relationship between the bar service operation practices and organizational performance. Further, the results indicate some practical and managerial implications to improve organizational overall performance.

Research on the hydrographic survey cycle for updating navigational charts

2021 ◽  
pp. 1-13
Author(s):  
Jing Duan ◽  
Xiaoxia Wan ◽  
Jianan Luo
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Calculation Model ◽  
Impact Factors ◽  
Factors Affecting ◽  
Material Resources ◽  
Hydrographic Survey ◽  
Survey Planning ◽  
The Impact ◽  
The Relationship

Abstract Due to the vast ocean area and limited human and material resources, hydrographic survey must be carried out in a selective and well-planned way. Therefore, scientific planning of hydrographic surveys to ensure the effectiveness of navigational charts has become an urgent issue to be addressed by the hydrographic office of each coastal state. In this study, a reasonable calculation model of hydrographic survey cycle is established, which can be used to make the plan of navigational chart updating. The paper takes 493 navigational charts of Chinese coastal ports and fairways as the research object, analyses the fundamental factors affecting the hydrographic survey cycle and gives them weights, proposes to use the BP neural network to construct the relationship between the cycle and the impact factors, and finally establishes a calculation model of the hydrographic survey cycle. It has been verified that the calculation cycle of the model is effective, and it can provide reference for hydrographic survey planning and chart updating, as well as suggestions for navigation safety.

scholarly journals Residents' Procedural Experience Does Not Ensure Competence: A Research Synthesis

2017 ◽  
Vol 9 (2) ◽  
pp. 201-208 ◽  
Author(s):  
Jeffrey H. Barsuk ◽  
Elaine R. Cohen ◽  
Joe Feinglass ◽  
William C. McGaghie ◽  
Diane B. Wayne
Keyword(s):  
Venous Catheter ◽  
Research Synthesis ◽  
Medical Procedure ◽  
Clinical Procedures ◽  
Simulated Performance ◽  
Northwestern University ◽  
Minimum Number ◽  
Overall Performance ◽  
Using Data ◽  
The Relationship

ABSTRACT Background Many medical certifying bodies require that a minimum number of clinical procedures be completed during residency training to obtain board eligibility. However, little is known about the relationship between the number of procedures residents perform and their clinical competence. Objective This study evaluated associations between residents' medical procedure skills measured in a simulation laboratory and self-reported procedure experience and year of training. Methods This research synthesis extracted and summarized data from multiple cohorts of internal medicine, emergency medicine, anesthesiology, and neurology resident physicians who performed simulated clinical procedures. The procedures were central venous catheter insertion, lumbar puncture, paracentesis, and thoracentesis. We compared residents' baseline simulated performance to their self-reported procedure experience using data from 7 research reports written by Northwestern University investigators between 2006 and 2016. We also evaluated how performance differed by postgraduate year (PGY). Results A total of 588 simulated procedures were performed during the study period. We found significant associations between passing the skills examinations and higher number of self-reported procedures performed (P = .011) and higher PGY (P < .001). However, performance for all procedures was poor, as only 10% of residents passed the assessments with a mean of 48% of checklist items correct (SD = 24.2). The association between passing the skills examination and year of training was mostly due to differences between PGY-1 and subsequent years of training. Conclusions Despite positive associations between self-reported experience and simulated procedure performance, overall performance was poor. Residents' clinical experience is not a proxy for skill.

The Impact of Adopting CSR on the Firm's Overall Performance

2021 ◽  
pp. 239-255
Author(s):  
Abdelmajid Ibenrissoul ◽  
Khawla Bouraqqadi ◽  
Souhaila Kammoun
Keyword(s):  
Developing Countries ◽  
Regression Analysis ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Social Dimensions ◽  
The Social ◽  
Managerial Implications ◽  
Overall Performance ◽  
The Impact ◽  
The Relationship

The purpose of the chapter is to study what effect CSR has on firms' overall performance in a developing country context. While most of the previous empirical researches focused on the relationship between CSR and financial performance, the present study suggests exploring the impact of CSR on overall performance which encompasses economic, environmental, and social dimensions as well as stakeholders. The empirical study aims to analyze and measure the social and environmental involvement of large Moroccan firms operating in the main sectors of activity and located in different geographical areas. Using multiple linear regression analysis, the authors empirically test the impact of CSR on overall performance on a sample of 44 companies. The main findings reveal that CSR is a driver for improving image and reputation, enabling the firm to achieve overall corporate performance. On the basis of the main results, they set out some managerial implications and further directions for CSR research in developing countries.

An Empirical Analysis of FII Movement and Currency Value in India

2015 ◽  
pp. 207-217
Author(s):  
Saurabh Sen ◽  
Ruchi L. Sen
Keyword(s):  
Exchange Rate ◽  
Exchange Rates ◽  
Critical Role ◽  
Institutional Investment ◽  
Currency Futures ◽  
Overall Performance ◽  
Foreign Institutional Investors ◽  
Us Dollar ◽  
The Impact ◽  
The Relationship

India opened its stock market to foreign investors in September 1992 and has received portfolio investment from foreigners in the form of foreign institutional investment in equities and other markets including derivatives. It has emerged as one of the most influential groups to play a critical role in the overall performance of the Indian economy. The liberalization of FII flows into the Indian capital market since 1993 has had a significant impact on the economy. With increased volatility in exchange rate and to mitigate the risk arising out of excess volatility, currency futures were introduced in India in 2008, which is considered a second important structural change. This chapter examines the impact of the Foreign Institutional Investors (FIIs) on the exchange rate and analyzes the relationship between FII and Indian Rupee-US Dollar exchange rates.

scholarly journals Understanding the Impact of Relationship Disruptions

2019 ◽  
Vol 84 (1) ◽  
pp. 66-87 ◽  
Author(s):  
Christian Schmitz ◽  
Maximilian Friess ◽  
Sascha Alavi ◽  
Johannes Habel
Keyword(s):  
International Business ◽  
Interpersonal Relationship ◽  
Relationship Management ◽  
Firm Level ◽  
Positive Effects ◽  
Life Cycle Theory ◽  
Overall Performance ◽  
The Impact ◽  
The Relationship ◽  
Business To Business

Personal relationships between salespeople and customers are essential for the success of business-to-business relationships, and research has shown that a change of the salesperson can severely harm financial performance. However, such interpersonal relationship disruptions may also have positive effects by encouraging vitalizing reexplorations of the relationship. Using multilevel loyalty theory and relationship life cycle theory, the authors offer a comprehensive conceptualization of potentially countervailing consequences of relationship disruptions. In particular, disruptions may have different effects on resale revenue (from previously sold products) versus new sale revenue (from newly sold products), contingent on both the history and expected future development of the relationship. Therefore, this study examines moderators on the firm-level relationship prior to disruption and salesperson relationship management afterward. Longitudinal data from 2,040 customers of an international business-to-business firm reveal that a disruption can increase overall performance by more than 29%, depending on the firm-level relationship before disruption and the new salesperson’s relationship management. Managers can use these findings proactively to evaluate and manage the risks and opportunities involved in relationship disruptions.

scholarly journals DATAFICATION AS A NECESSARY STEP IN THE PROCESSING OF BIG DATA IN DECISION-MAKING TASKS OF BUSINESS

2021 ◽  
Vol 2 ◽  
pp. 75-80
Author(s):  
Martin Misut ◽  
Pavol Jurik
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Quantitative Methods ◽  
Digital Data ◽  
Classification Model ◽  
Decision Making Process ◽  
Digital Form ◽  
Suitable Alternative ◽  
The Given ◽  
The Relationship

The digital transformation of business in the light of opportunities and focusing on the challenges posed by the introduction of Big Data in enterprises allows for a more accurate reflection of the internal and external environmental stimuli. Intuition ceases to be present in the decision-making process, and decision-making becomes strictly data-based. Thus, the precondition for data-based decision-making is relevant data in digital form, resulting from data processing. Datafication is the process by which subjects, objects and procedures are transformed into digital data. Only after data collection can other natural steps occur to acquire knowledge to improve the company's results if we move in the industry's functioning context. The task of finding a set of attributes (selecting attributes from a set of available attributes) so that a suitable alternative can be determined in its decision-making is analogous to the task of classification. Decision trees are suitable for solving such a task. We verified the proposed method in the case of logistics tasks. The analysis subject was tasks from logistics and 80 well-described quantitative methods used in logistics to solve them. The result of the analysis is a matrix (table), in which the rows contain the values of individual attributes defining a specific logistic task. The columns contain the values of the given attribute for different tasks. We used Incremental Wrapper Subset Selection IWSS package Weka 3.8.4 to select attributes. The resulting classification model is suitable for use in DSS. The analysis of logistics tasks and the subsequent design of a classification model made it possible to reveal the contours of the relationship between the characteristics of a logistics problem explicitly expressed through a set of attributes and the classes of methods used to solve them.

scholarly journals Research on the Relationship between Corporate Social Responsibility and Commercial Credit Financing-Empirical Analysis Based on Big Data of Shanghai and Shenzhen A-share Enterprises

2021 ◽  
Vol 251 ◽  
pp. 01045
Author(s):  
Feng Gege
Keyword(s):  
Big Data ◽  
Corporate Social Responsibility ◽  
Social Responsibility ◽  
Market Competition ◽  
Negative Relationship ◽  
Credit Financing ◽  
Corporate Social ◽  
The Impact ◽  
The Relationship ◽  
A Share

Based on the big data of Shanghai and Shenzhen stock exchanges A-share listed companies from 2009 to 2019, this paper uses fixed effect model to analyze the impact mechanism of corporate social responsibility on commercial credit financing. The results show that: there is a significant negative relationship between corporate social responsibility and commercial credit financing, and the degree of market competition positively adjusts the relationship between the two. Further research finds that corporate social responsibility will increase cash holdings and then affect commercial credit financing.

The issues of implementing legislation on personal data in the era of big data

2020 ◽  
pp. 319-326
Author(s):  
Ekaterina Shebunova
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Nonprofit Organizations ◽  
Personal Data ◽  
Legal Regulation ◽  
Financial Control ◽  
Large Databases ◽  
The Impact ◽  
The Given ◽  
Improved Methods

We consider the impact of automation processes on the implementation of external financial control. We study the practical application features of new sources of data analysis – state information systems. In particular, the legal regulation of the functioning of such systems and their use for financial control purposes. We present methods for collecting and analyzing big data in order to improve the legal regulation of the budgetary process, as well as the law enforcement practice of using big data arising in the process of digitalization of the control and supervisory activities of external financial control bodies. We focus on the fact that big data analysis methods (for ex-ample, spatial analysis, social network analysis, machine learning, etc.) can be used to implement state financial control over the activities of nonprofit organizations. We find that improved methods of collecting and analyzing data helps not only to respond flexibly to sudden changes and make faster and more accurate decisions, but also to use large databases, which, in turn, allows us to move from monitoring the legality of spending to analyzing the effectiveness of use financial resources of the state. Based on the given ex-amples, we conclude that automation contributes to improving the methods of state financial control.

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