Human Resources Management and Services(TRANSFERRED)

Human Resources Management and Services is an international Open Access journal that publishes original research articles and review articles related to all areas of human resources. The targeted audiences included academics, human resources and managers.


 

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Submission Preparation Checklist

As part of the submission process, authors are required to check off their submission's compliance with all of the following items, and submissions may be returned to authors that do not adhere to these guidelines.

  1. The submission has not been previously published, nor is it before another journal for consideration (or an explanation has been provided in Comments to the Editor).
  2. The submission file is in OpenOffice, Microsoft Word, RTF, or WordPerfect document file format.
  3. Where available, URLs for the references have been provided.
  4. The text is single-spaced; uses a 12-point font; employs italics, rather than underlining (except with URL addresses); and all illustrations, figures, and tables are placed within the text at the appropriate points, rather than at the end.
  5. The text adheres to the stylistic and bibliographic requirements outlined in the Author Guidelines, which is found in About the Journal.
  6. If submitting to a peer-reviewed section of the journal, the instructions in Ensuring a Blind Review have been followed.
 

Privacy Statement

The names and email addresses entered in this journal site will be used exclusively for the stated purposes of this journal and will not be made available for any other purpose or to any other party.

Article Processing Charges (APC)

Human Resources Management and Services is an Open Access Journal under EnPress Publisher. All articles published in Human Resources Management and Services are accessible electronically from the journal website without commencing any kind of payment. In order to ensure contents are freely available and maintain publishing quality, Article Process Charges (APC) is applicable to all authors who wish to submit their articles to the journal to cover the cost incurred in processing the manuscripts. Such cost will cover the peer-review, copyediting, typesetting, publishing, content depositing and archiving processes. Those charges are applicable only to authors who have their manuscript successfully accepted after peer-review.

Journal TitleAPC
Human Resources Management and Services$800

We encourage authors to publish their papers with us and don’t wish the cost of article processing fees to be a barrier especially to authors from the low and lower middle income countries/regions. A range of discounts or waivers are offered to authors who are unable to pay our publication processing fees. Authors can write in to apply for a waiver and requests will be considered on a case-by-case basis.

APC Payment

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Article No.*

*Article No. is mandatory for payment and it can be found on the acceptance letter issued by the Editorial Office. Payment without indicating Article No. will result in processing problem and delay in article processing. Please note that payments will be processed in USD. You can make payment through Masters, Visa or UnionPay card.


Vol 1, No 1

Table of Contents

Open Access
Articles
Article ID: 282
PDF
by Huiyuan Ai, Shuming An, Jianwen Zhou
2018 , 1(1);    555 Views
Abstract In the new century, the traditional model of enterprise human resource management is facing the challenge of the times, improving the human resource management of enterprises, and must innovate the concept of enterprise human resource management. After the 1950s, some economists established the theory of human capital, not only can more effectively explain the problems of modern social economic growth, but also on the enterprise's human resources management contribution to a positive impact. This paper introduces the concept of human capital and human capital investment into enterprise human resource management, which opens up a new perspective for enterprise human resource management. In this paper, we will first define the characteristics of human capital and the main body of human capital investment, and then analyze the meaning of various human resource management behaviors from the perspective of capital investment, estimate their benefits, costs and risks, and finally use scientific means to establish investment decision model and risk control mechanism, to maximize the effectiveness of human resources, so that the management behavior of enterprise's human can bring more revenue for the enterprises, thereby enhancing the competitiveness of enterprises. At present, the scientific operation of human resources is the key to the healthy development of enterprises.
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Open Access
Articles
Article ID: 397
PDF
by Zuoming Jiang, Daisheng Li, Yongqi Zhou
2018 , 1(1);    615 Views
Abstract With the advent of knowledge economy, international competition is becoming increasingly fierce, human resources management in the role of enterprise management is growing. In the 21st century, the trend of globalization of the world economy has been strengthened, and the development of science and technology has been changing with each passing day. The essence of comprehensive national competition is becoming the competition of human resources. Similarly, enterprises in order to compete in the fierce and healthy development, we must reduce costs and improve management efficiency, must have a set of their own talent management methods. Human resources are the most important resources in all resources, effectively play the important role of human resources in the core competitiveness, and formulate the countermeasures of human resource competition, which is of great significance to improve the core competitiveness of enterprises. In the new century to further improve the management of human resources in state-owned enterprises, improve China's enterprise human resources management system is to enliven the state-owned enterprises, improve our comprehensive national strength of the top priority, to promote China's economic development is of great significance.
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Open Access
Articles
Article ID: 323
PDF
by Ke Meng, Guiyao Lu, Mingyang Shen
2018 , 1(1);    2274 Views
Abstract Small and medium-sized enterprises as the main body of Chinese enterprises should be an important driving force for China's economic development. However, the problems of salary management faced by small and medium-sized enterprises are increasingly hindering their own survival and development. Whether it is standing on the position of the enterprise or the workers, the pay problem is that they are more concerned about the problem, while the remuneration is also an indispensable modern means of competition and incentives. Salary management is not only indispensable content of enterprise human resources, but also the establishment of modern enterprise system, and optimization of the allocation of social resources requirements. Enterprise salary management operation flexibility or not, directly affect the production and operation management, which will affect the long-term development of enterprises. This paper analyzes the problems of salary management in small and medium-sized enterprises (SMEs), such as unreasonable pay system, lack of forward-looking management system, and so on, and analyzes and discusses their own countermeasures.
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Open Access
Articles
Article ID: 216
PDF
by ITHAYA RANI PANNEERSELVAM, Hari Prasath T.
2018 , 1(1);    156 Views
Abstract Machine analysis of detection of the face is an active research topic in Human-Computer Interaction today. Most of the existing studies show that discovering the portion and scale of the face region is difficult due to significant illumination variation, noise and appearance variation in unconstrained scenarios. To overcome these problems, we present a method based on Extended Semi-Local Binary Patterns. For each frame, an aggregation of the pixel values over a neighborhood is considered and a local binary pattern is obtained. From these a binary code is obtained for each pixel and then histogram features is computed. Adaboost algorithm is used to learn and classify these discriminative features with the help of exemplar face and non-face signature of the images for detecting the location of face region in the frame. This Extended Semi Local Binary Pattern is sturdy to variations in illumination and noisy images. The developed methods are deployed on the real time YouTube video face databases and found to exhibit significant performance improvement owing to the novel features when compared to the existing techniques.
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Announcements

 

Journal News: Announcement of Transferring Journal

To whom it may concern:

 

Due to operational and developmental considerations, EnPress Publisher LLC is delighted to announce that the journal entitled Human Resources Management and Services  is now published by PiscoMed Publishing Pte Ltd. in Singapore. All operations related to the journal will be solely handled by PiscoMed Publishing Pte Ltd. and its partners.

 

 

Posted: 2018-12-21
 

Journal News: Publisher’s Note

We are pleased at the constructive and collaborative manner in which we were able to work with the Editorial Board Member. We appreciate those of scholars who help and surpport us running the Journal. We are reaching primary goal of launching journal, we hope our scholars will continue to pay attention and participate enthusiastically, and submit some high quanlity papers to our Journal. Thank you!

Posted: 2018-09-14
 
More Announcements...