for Journals by Title or ISSN
for Articles by Keywords
help
Journal Cover
Asian Journal of Management Science and Applications
Number of Followers: 4  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 2049-8683 - ISSN (Online) 2049-8691
Published by Inderscience Publishers Homepage  [435 journals]
  • From the ISO26000 perspective: does corporate social responsibility
           influence corporate value?
    • Authors: Tomoya Maki, Ling Feng
      Pages: 97 - 116
      Abstract: Corporate social responsibility (CSR) has drawn increased attention in the past decade. Consequently, many organisations are in need of international guidance for implementing CSR. From the International Organization for Standardization (ISO) 26000 perspective, the present study examines the evolution of CSR activities and the relationship between CSR and financial performance or corporate value. Using the random forests model to rank CSR activities, this study found that CSR changed from environmental and compliance activities to philanthropic endeavours. Then, using multiple linear regression analysis, this study found that in the short-term, there is no relationship between CSR and financial performance when measured by return on assets (ROA), return on equity (ROE), and return on sale (ROS). However, in the long-term, the findings show that there is a relationship between CSR activities and corporate value.
      Keywords: corporate social responsibility; CSR; corporate value; ISO26000; long-term perspectives; random forests
      Citation: Asian J. of Management Science and Applications, Vol. 3, No. 2 (2018) pp. 97 - 116
      PubDate: 2018-04-06T23:20:50-05:00
      DOI: 10.1504/AJMSA.2018.091004
      Issue No: Vol. 3, No. 2 (2018)
       
  • I am who I connect with: the interplay of a group leader's leadership
           identity, intra-organisational ties, and group outcomes
    • Authors: Xia Zhao, Kiran M. Ismail
      Pages: 117 - 131
      Abstract: This article conceptually explores the role of intra-organisational ties of group leaders in influencing group outcomes. We use insights from the leadership identity construction theory to bridge the gap between the group leadership literature and the leadership networks literature. We propose that group leaders' leadership identity influences their instrumental ties with their subordinates, other group leaders, and higher-level managers. These networks, in turn, play a significant role in influencing the group's outcomes such as its power and organisational resource access potential that thus affect the group's performance.
      Keywords: group leaders; leadership identity; intra-organisational ties; group outcomes
      Citation: Asian J. of Management Science and Applications, Vol. 3, No. 2 (2018) pp. 117 - 131
      PubDate: 2018-04-06T23:20:50-05:00
      DOI: 10.1504/AJMSA.2018.091014
      Issue No: Vol. 3, No. 2 (2018)
       
  • Determining the size of a mix bank in a mixed-model assembly line
    • Authors: Ryojiro Ito, Haruki Matsuura, Akiko Asada
      Pages: 132 - 155
      Abstract: This paper provides a guideline for determining the size of a mix bank using the number of sequences generated by the bank. A mix bank is a buffer system that consists of a set of parallel first-in, first-out lanes of a specific capacity. We derive the exact solution of the number of sequences generated in two special cases, the case where the capacity of each lane is only one and the case of two lanes with a capacity equal to the number of models minus one. The input for the mix bank is assumed to be a sequence of n different models. In the general case, upper and lower bounds on the number of sequences are presented by analysing the results of two special cases. A procedure for determining the size of a mix bank is demonstrated with a numerical example. Ways to use a mix bank to increase efficiency and flexibility are also discussed.
      Keywords: mixed-model assembly line; mix bank; line length; flexibility; size; buffer; re-sequencing; scheduling; upper bound; lower bound
      Citation: Asian J. of Management Science and Applications, Vol. 3, No. 2 (2018) pp. 132 - 155
      PubDate: 2018-04-06T23:20:50-05:00
      DOI: 10.1504/AJMSA.2018.091015
      Issue No: Vol. 3, No. 2 (2018)
       
  • A data mining framework for classification of organisational performance
           based on rough set theory
    • Authors: Hamid Hasani, Seyed Mohammad Jafar Jalali, Danial Rezaei, Mohsen Maleki
      Pages: 156 - 180
      Abstract: Today's organisations perform their activities in difficult situations with uncertainty, rapid changes of technology, global markets and etc. There are a lot of factors which affect their performances. In this study we mostly concentrate on qualitative factors to consider organisational performance. So, we use a data mining framework based on rough set theory (RST) for classification and description usage of the organisational performance in some Iranian petrochemical companies. The proposed framework consists of three stages: 1) problem definition and data collection; 2) RST analysis (rules generation and evaluation); 3) usage of derived rules. For this purpose, 28 Iranian petrochemical companies are considered. Ten most important factors which affect organisational performance are examined. Total number of indices is 28, so it makes this work, an exhaustive research study. There are two different usages of this study. One of them is classification (predictive) usage and the other is descriptive usage.
      Keywords: rough set theory; RST; data mining; organisational performance
      Citation: Asian J. of Management Science and Applications, Vol. 3, No. 2 (2018) pp. 156 - 180
      PubDate: 2018-04-06T23:20:50-05:00
      DOI: 10.1504/AJMSA.2018.091020
      Issue No: Vol. 3, No. 2 (2018)
       
 
 
JournalTOCs
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
Email: journaltocs@hw.ac.uk
Tel: +00 44 (0)131 4513762
Fax: +00 44 (0)131 4513327
 
Home (Search)
Subjects A-Z
Publishers A-Z
Customise
APIs
Your IP address: 54.144.16.135
 
About JournalTOCs
API
Help
News (blog, publications)
JournalTOCs on Twitter   JournalTOCs on Facebook

JournalTOCs © 2009-