Asian J. of Management Science and Applications (4 papers in press)
From the ISO26000 Perspective: Does Corporate Social Responsibility Influence Corporate Value?
by Tomoya Maki, Ling Feng
Abstract: Corporate social responsibility (CSR) has drawn increased attention in the past decade. Consequently, many organizations 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 endeavors. 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: CSR; corporate value; ISO 26000; long-term perspectives; random forests.
I Am who I Connect With: The Interplay of a Group Leaders Leadership Identity, Intra-Organizational Ties, and Group Outcomes
by Xia Zhao, Kiran Ismail
Abstract: This article conceptually explores the role of intra-organizational 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 groups outcomes such as its power and organizational resource access potential that thus affect the groups performance.
Keywords: group leaders; leadership identity; intra-organizational ties; group outcomes.
Determining the size of a mix bank in a mixed-model assembly line
by Ryojiro Itou, Haruki Matsuura, Akiko Asada
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 analyzing 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.
A data mining framework for classification of organizational performance based on Rough Set Theory
by Seyed Mohammad Jafar Jalali, Hamid Hasani, Danial Rezaei, Mohsen Maleki
Abstract: Today’s organizations 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. Performance of an organization shows whether that organization is successful or not successful in the corresponding industry. If a company has a great performance, it shows that the company is successful in its own industry and if the performance of a company is not convenient, it represents the company's failure. So, the managers of these organizations need advanced tools to help them in the process of decision making. This matter is important for bigger industry such as petrochemical industry. There are various factors which are involved on the performance of a company (business) and each factor affects the organizational performance in a different way. There are some factors which are quantitative, such as financial ratios, and some factors which are qualitative, such as human resource management. In the last researches about evaluation of different organizational aspects (such as risk evaluation), quantitative factors are mostly considered in comparison with qualitative factors. However, there are some qualitative factors which are more important than the other factors to determine the organizational performance. There are numerous companies which have great financial assets but their performances are not good, because of not regarding the other factors. These companies only consider financial ratios and they don’t consider qualitative factors. For example, alignment of IT/IS with business is an important qualitative factor which affect the overall performance of a business. Because of the vital role of qualitative factors to determine the organizational performance, in this study we mostly concentrate on qualitative factors to consider organizational performance. So, we use a data mining framework based on Rough Set Theory (RST) for classification and description usage of the organizational 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 organizational performance are examined. For each of these ten factors, there are some indices which are derived from recent researches and some which are obtained with the help of domain experts. These indices determine the overall label (low, moderate, or high) of each corresponding factor. Total number of indices is 28, so it makes this work, an exhaustive research study. With the analysis of these data, we can derive the latent knowledge which is helpful for decision making about organizational performance. This study can be used as a great help for managers and experts of petrochemical organizations to improve their performances. There are two different usages of this study. One of them is classification (predictive) usage and the other is descriptive usage. For classification usage, after building the model (deriving of qualified rules) we classify the performance of new organizations and label them, high, moderate, and low, according to the previous 28 organization’s information. For descriptive usage, after building the model (deriving of qualified rules) we analysis each rule (qualified rule) to determine that which factors are the most important than the others.
Keywords: rough set theory; data mining; oranizational performance