Reducing Agency Problem and Improving Organizational Value-Based Decision-Making Model of Inter-Organizational Strategic Alliance

2011 ◽  
pp. 290-307
Author(s):  
Tsai-Lung Liu ◽  
Chia-Chen Kuo
Keyword(s):  
Decision Making ◽  
Intellectual Capital ◽  
Strategic Alliance ◽  
Negative Impact ◽  
Agency Problem ◽  
Agency Cost ◽  
Core Knowledge ◽  
Knowledge Based ◽  
Decision Making Model ◽  
Organizational Value

This chapter employs a cross-theory perspective by combining the four theories of agency theory, resource-dependent theory, resource-based theory, and knowledge- based theory, intending to explore the impact of inter-organizational strategic alliance on organizational value-based decision-making model and intellectual capital. Drawing the related variables upon making the literature review, analysis and inference, it infers 18 propositions and builds up a conceptual model. As a result, it is found that different formation factors of inter-organizational strategic alliance not only have significanty impact on an agency problem, but also have positive or negative impact on core resource and core knowledge strategic alliance. It is also found that when there is an inter-organizational agency problem, it will further increase the agency cost, and impact on the organizational value-based decision of inter-organizational strategic alliance in the future. Furthermore, the authors hope that researchers understanding through the governance mechanisms of inter-organizational core resource alliance and core knowledge strategic alliance are more matured, it will be more effective to prevent the appearance of agency problem and reduce agency cost and will be more helpful to the increase of organizational intellectual capital and the creation of organizational value.

Measuring intellectual capital in a firm belonging to a strategic alliance

2015 ◽  
Vol 16 (1) ◽  
pp. 174-198 ◽  
Author(s):  
Stefania Veltri ◽  
Andrea Venturelli ◽  
Giovanni Mastroleo
Keyword(s):  
Decision Making ◽  
Expert System ◽  
Intellectual Capital ◽  
Strategic Alliances ◽  
Strategic Alliance ◽  
Empirical Work ◽  
Organizational Level ◽  
Decision Making Process ◽  
Content Type ◽  
Scant Attention

Purpose – The purpose of this paper is to propose a method to measure intellectual capital (IC) in firms involved in strategic alliances, an area that has received scant attention in the literature, as existing research is focused mainly on organizational level mainly and increasingly on macro-level unit such as regions or nations. There are very few works at the meso-level (i.e. alliances, clusters), and the paper aims to fill this void, by providing researchers and practitioners with a tool capable of combining measurement and management aims, developed at organizational level with the active participation of the researchers. Design/methodology/approach – The method of analysis is based on a model formalized through a fuzzy expert system (FES). The FES are able to merge the capabilities of an expert system to simulate the decision-making process with the vagueness typical of human reasoning, maintaining the ability to still have a numeric value as a response. Its construction requires the participation of experts, whose knowledge of the problem is accumulated in the form of blocks of rules. These features make it possible to formalize the decision-making process related to the IC valuation, handling qualitative and quantitative variables, and exploring the cognitive mechanisms underlying this process. Findings – The outcome of the application is a system designed to measure the intangible performance deriving from participation in a strategic alliance using FES. This study contributes to the broadening of the research community’s understanding regarding the alternative measurement of IC created within strategic alliances. Research limitations/implications – To the best of the authors’ knowledge, IC literature lacks methods expressly designed to measure the incremental value of IC originating from collaboration among firms. From a measurement perspective, the results may be regarded as valuable proof that IC performance within strategic alliances can be measured quantitatively. Practical implications – On the management side, the possibility of retracing the determinants of different IC intermediate indicators composing the final IC index allows strategic alliances managers to use this information for decision-making purposes. Originality/value – To the best of the authors’ knowledge this is the first study applying FES to measure IC in a firm belonging to a strategic alliance. In the authors’ opinion, fuzzy logic methodology, recently applied in empirical work designed to evaluate IC, represents a reliable methodology because of the “fuzzy” nature of IC.

GENCRIT: A tool for knowledge-based critiquing in engineering design

1994 ◽  
Vol 8 (3) ◽  
pp. 239-259 ◽  
Author(s):  
H. Shiva Kumar ◽  
S. Suresh ◽  
C. S. Krishnamoorthy ◽  
Steven J. Fenves ◽  
S. Rajeev
Keyword(s):  
Decision Making ◽  
Reinforced Concrete ◽  
Engineering Design ◽  
Design Process ◽  
Rapid Development ◽  
Integrated Approach ◽  
Knowledge Based ◽  
Wide Range ◽  
Decision Making Model

AbstractThis article poses the notion that it is possible and desirable to formalize and apply design critiques in a specialized framework. It describes GENCRIT, (GENeric CRItiquing Tool), one such framework for design critiquing. The article starts by highlighting the role of critics in the design process. It then goes on to bring out the need for a critic building tool, viz. that of aiding in the rapid development of multiple critics. GENCRIT combines knowledge-based techniques and a multifactor decision making model to develop an integrated approach to evaluation that encompasses a wide range of designs. Critics developed using GENCRIT evaluate candidate designs based on the critiquing knowledge provided by experts, give justifications for the evaluation, and suggest improvements. The working of GENCRIT is illustrated with two examples: a constructibility critic for reinforced concrete buildings and a bridge design critic.

scholarly journals Pengungkapan Modal Intelektual

2021 ◽  
pp. 1-11
Author(s):  
Haryani Chandra
Keyword(s):  
Decision Making ◽  
Intellectual Capital ◽  
Secondary Data ◽  
Financial Statement ◽  
Knowledge Based ◽  
Adequate Information ◽  
Library Research

All businesses are required to be able to adapt when there is a shift from labor-based business to knowledge-based business. The business shift is also changing the information needed by company’s stakeholders. The stakeholders need adequate information about intellectual capital. Purposes of this study is to provide insight about reasons those support intellectual capital disclosure, obstacles in intellectual capital disclosure, and ways and guidelines in intellectual capital disclosure. This research is a library research. The type of data is secondary data those were obtained from various literatures. The conclusions of this study are intellectual capital have to be disclosed because the information is relevant for decision making made by both internal and external parties; the obstacles in disclose intellectual capital are there are no tool to identify, measure and disclose intellectual capital so companies choose not to disclose intellectual capital continuouisly; and intellectual capital can be disclosed in separate statement which is financial statement supplement while guideline regarding intellectual capital disclosure in Indonesia is stated implicitly in PSAK 19. Keywords: Intellectual Capital, Disclosure

scholarly journals Does intellectual capital of “capital” matter? Investigation of small business revenue

2021 ◽  
Vol 6 (03) ◽  
pp. 87-92
Author(s):  
Siswanti Siswanti ◽  
Syamsul Ridjal ◽  
La Ode Sumail
Keyword(s):  
Small Business ◽  
Intellectual Capital ◽  
Financial Literacy ◽  
Negative Impact ◽  
Positive Impact ◽  
Descriptive Analysis ◽  
Capital Management ◽  
Knowledge Based ◽  
Management Ability ◽  
Saturated Sample

The main purpose of this study is to examine the effect of length of business on revenue by mediating financial literacy and moderated by capital management ability. Financial literacy and capital management ability in this paper we call intellectual capital. This study used a saturated sample of 71 respondents. Data were analyzed using descriptive analysis and path analysis. The results of this study show that the length of business has a positive relationship to revenue. Furthermore, in general, knowledge-based intellectual capital has a statistically negative impact on revenue, but this finding is biased. Meanwhile, capital management which is an experience-based intellectual capital has a positive impact on revenue. Last but not least, the moderating variable of the place of business is proven to increase small business revenue.

Applying the Multi-Criteria Decision Making Model for Ranking Commercial Banks: The Case of Vietnam

2019 ◽  
pp. 125-133
Author(s):  
Duong Truong Thi Thuy ◽  
Anh Pham Thi Hoang
Keyword(s):  
Decision Making ◽  
Commercial Banks ◽  
Decision Model ◽  
Business Models ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Topsis Method ◽  
Decision Making Model

Banking has always played an important role in the economy because of its effects on individuals as well as on the economy. In the process of renovation and modernization of the country, the system of commercial banks has changed dramatically. Business models and services have become more diversified. Therefore, the performance of commercial banks is always attracting the attention of managers, supervisors, banks and customers. Bank ranking can be viewed as a multi-criteria decision model. This article uses the technique for order of preference by similarity to ideal solution (TOPSIS) method to rank some commercial banks in Vietnam.

Multi-Attribute Decision-Making Model by Applying Grey Numbers

Informatica ◽  
2009 ◽  
Vol 20 (2) ◽  
pp. 305-320 ◽  
Author(s):  
Edmundas Kazimieras Zavadskas ◽  
Arturas Kaklauskas ◽  
Zenonas Turskis ◽  
Jolanta Tamošaitienė
Keyword(s):  
Decision Making ◽  
Multi Attribute Decision Making ◽  
Decision Making Model
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