An Improved Intellectual Capital Management Method for Selecting and Prioritizing Intangible-Related Aspects: A Case Study of Small Enterprise in Thailand

Abstract

This study develops a new integrated approach for improving deficiencies relating to executives’ intuitive or illogical decisions, mainly found in past intellectual capital management (ICM) methods. To simultaneously rectify several flaws, the process model of intellectual capital (IC), a traditional ICM method, is integrated using decision science methods—the analytic network process (ANP) and quality function deployment (QFD). The process model of IC is adopted as a core procedure of the proposed ICM approach. ANP is integrated to improve the ability to consider relationships among the IC critical factors and their impacts, while QFD is included to facilitate the systematic consideration and identification of correlations, linkages, and impacts between all IC-related elements from the business concept to strategic plans. The proposed method was applied to two case studies in one real enterprise in Thailand. The results of the implementation reveal the priorities of all IC-related aspects, and the first priority of key success factors (KSFs), key performance indicators (KPIs), and action plans (APs) are all associated with the organization in the structural capital dimension. The results demonstrate that the method may offer advantages with respect to the conceptual expectations and may prioritize critical IC factors and identify their weights. Furthermore, the improved method could indicate the correlations and impacts between related elements, such as critical factors and associated indicators. This study proposes a new comprehensive and systematic management framework by integrating different concepts—decision science methods and the ICM method. To the best of the authors’ knowledge, this improved approach has not been explored or proposed in earlier studies.

Using Multi-Criteria Decision Making in Quality Function Deployment for Offshore Renewable Energies

“…Figure 7 presents an HoQ structure and the MCDM approaches used to improve the QFD method. Most of the articles identified in the present systematic review are focused on the implementation of MCDM methodologies in order to weigh customer importance: AHP, fuzzy AHP [58][59][60][61][62], ANP [76,90], ORESTE [36], fuzzy linguistic preference relations (FLPRs) [42], and q-rung orthopair fuzzy number (q-ROFN) [91].…”

“…The development of algorithms to weigh requirements using BWM is shown in [88]. Furthermore, in the study carried out by [90], the authors used Super Decision software (version 2.10) and QFD templates based on Excel. These findings allow us to establish an overview of the most relevant computing tools used in MCDM and QFD.…”

Design of a Disinfection and Epidemic Prevention Robot Based on Fuzzy QFD and the ARIZ Algorithm

“…Hartono et al [5] incorporated the Kano model and QFD into KE for luxury hotel services. Wudhikarn et al [6] proposed a decision-making method combining the Analytical Network Process (ANP) and Quality Function Deployment (QFD) to improve the objectivity and scientificity of decision making, as well as to identify the intuitive or illogical flaws in decision making. Murali et al [7] combined QFD with theoretical approaches such as SWOT, BSC, and AHP; a comprehensive model was developed, and the efficiency of the model was verified using the After-Sales Service (ASS) business of a home appliance company as a research case.…”

Capital Intelectual

“…Não obstante, mesmo sendo o processo de mensuração do CI de essencial relevância para o desenvolvimento das entidades empresariais, tanto sua medição quanto a gestão do desempenho organizacional parecem seguir dependendo da experiência e da habilidade de executivos (Wudhikarn;Pongpatcharatorntep, 2022). Contudo, sua complexidade não deve servir de obstáculo para que empresas e cientistas deixem de investigá-lo.…”