555 research outputs found

    How to Manage Knowledge Well? Evidence from the Life Insurance Industry

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    [[abstract]]As using knowledge management and performance effectively to gain competitive advantage is becoming critical in today’s knowledge-based economy, an increasing number of industries are trying to explore optimal methods of managing knowledge-based assets, so-called intellectual capital (IC) in both visible and invisible forms and evaluate their performance in this regard. In Taiwan, the life insurance industry includes two crucial factors: first, it is one of main mechanisms that could significantly influence Taiwanese economic growth; and second, knowledge needed for high performance itself. However, not only is difficulty in professions growing, high flow rate of talent and an increase in, and extension of, diversity services, but the recent global economic depression is a drawback that is seriously damaging competitive advantage domestically and internationally. This phenomenon also obviously affects Taiwanese economic growth. Since the renaissance and auspicious future of Taiwanese life insurance industry might be expected by senior life insurance experts, the aim of this study is on the basis of its development nature, profit generation by effective knowledge management, to overcome the highlighted difficulties by developing the critical criteria of IC and utilizing the developed IC criteria to explore the benchmark company. This is accomplished through a hybrid multiple-criteria decision-making (MCDM) approach based on a decision-making trial and evaluation laboratory (DEMATEL), the analytic network process (ANP), and VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR). Companies in the life insurance industry are encouraged to successfully evaluate and improve knowledge management performance based on the research findings, to bring about radical change in the existing state of affairs and to develop future strategies efficiently and solidly.[[journaltype]]ćœ‹ć€–[[incitationindex]]SSCI[[booktype]]é›»ć­ç‰ˆ[[countrycodes]]NG

    Designing effective contracts within the buyer-seller context: a DEMATEL and ANP study

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    This study examines the factors that contribute to effective contract design within the context of buyer-seller relationship. Research streams on contract factors, supply chain factors, environmental factors, and competitive factors were reviewed to arrive at 18 contract factors. A hybrid model of Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Analytic Hierarchy Process (ANP) analysed empirical data collected from 17 experts to weight the importance of contract factors. It was found that most important factors are, in order of significance: policies, supplier technology, force majeure, formality, relationship learning, buyer power, legal actions, liquidated damages, supplier power and partnership

    Logistics service providers (LSPs) evaluation and selection: Literature review and framework development

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    Purpose – The purpose of this paper is to provide an insight to the outsourcing decision-making through investigating if the old evaluation/selection criteria and methods still fit with current business priorities or not and, therefore, to identify the appropriate criteria and methods to develop a new selection framework. Since the economic recession of 2008, logistics outsourcing decisions have become more prominent to avoid high fixed costs and heavy investment requirements and to achieve competitive advantages. Design/methodology/approach – This is a focused literature review prepared after analyzing 56 articles related to the logistics service provider (LSP) evaluation and selection methods and criteria during 2008-2013. The academic articles are analyzed based on research focus/area, evaluation and selection methodology/methods and evaluation and selection criteria. Then reviewed result is compared with previous literature studies for the periods (1991-2008) to identify any possible shifts. Findings – The review reveals that: several problems in current LSPs literature have been identified; the reviewed papers can be categorized into seven groups, the usage and importance of evaluation and selection criteria fluctuate during different periods; 12 crucial criteria have been identified, increasing the importance of specific selection methods and the integrated models and fuzzy logic in logistics literature. Then, a comprehensive LSPs’ evaluation and selection framework has been developed. Originality/value – To the best of our knowledge, this is the first focused logistics outsourcing study that reviews the 2008-2013 period in detail, comparing results with previous literature studies, identifies current LSPs literature problems/gaps, new trends and shifts in the way that LSPs are evaluated and selected, identifies crucial selection criteria and proposes a new holistic LSPs evaluation and selection framework. In addition, it identifies important issues for future research. Keywords Supplier or partner selection, Evaluation and selection methods and criteria, Logistics outsourcing, Logistics service provider, LSP framewor

    Key Factors to Increasing Free Cash Flow for Manufacturers Utilizing Lean Production: An AHP-DEMATEL Approach

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    This paper aims to apply AHP and DEMATEL to analyze the key factors and interrelationships of lean production to increase free cash flow for manufacturers. The AHP hierarchy was determined through literature and interviews with leading management experts. The assessment criteria were categorized into five major criteria and 15 sub-criteria, including production, sales, human resources, R&D, and finance. According to the AHP results, the first eight key factors were identified as the key factors to increasing cash flow for manufacturers who utilized lean production. DEMATEL was used to identify the interactions among the eight key factors and further identify the four more important ones. The four key factors are strategic planning, strategic deployment, leadership, and goal orientation. This paper proposes management implications and improvement suggestions for the four key factors and their interactions

    Evaluating innovation capabilities of real estate firms: a combined fuzzy delphi and dematel approach.

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    Due to strong competition, numerous technology advancements and the monetary policy of the government, the survival of Indian real estate firms now depends on their capacity to measure their existing innovation capabilities, rebuild them and adopt new ones. The aim of this study is to evaluate the technology and human resources innovation capabilities of Indian real estate firms by applying fuzzy Delphi and DEMATEL techniques. After identifying the innovation capabilities through an extensive literature review, a questionnaire is designed based on fuzzy linguistic scales to manage any vagueness of information received. Data has been collected from experts in the field, with capabilities then finalized by using a fuzzy Delphi method. To establish cause-effect relationships among capabilities, a DEMATEL method is applied to the data collected from a second questionnaire. Analysis of the data divides capabilities into two groups i.e. cause and effect. The results show that innovation management, robustness of product and process design capability, strategic planning and knowledge resources fall in the cause group; these are critical findings given the effect on the other capabilities. The study outcomes can help real estate firms to enhance their capabilities with the proposed model providing guidelines and direction in this regard.N/

    A new approach to analyze strategy map using an integrated BSC and FUZZY DEMATEL

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    Today, with ever-increasing competition in global economic conditions, the necessity of effective implementation of strategy map has become an inevitable and necessary. The strategy map represents a general and structured framework for strategic objectives and plays an important role in forming competitive advantages for organizations. It is important to find important factors influencing strategy map and prioritize them based on suitable factors. In this paper, we propose an integration of BSC and Fuzzy DEMATEL technique to rank different items influencing strategy of a production plan. The proposed technique is implemented for real-world case study of glass production

    Multi-criteria decision-making prototype for the 4th construction revolution implementation readiness using intellectual capital perspective

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    The fourth industrial revolution, so-called Industry 4.0 has transformed the decision-making process by increasing the use of information and digitisation technologies, which resulted in improving the performance and structuring the management process to the industry. Thus, in recent years, the implementation level of information and digitisation technologies in the construction industry, termed as ‘Construction 4.0 (CR4.0)’, has increased rapidly. However, the construction industry has been unable to translate its acquired knowledge into actionable, transformational and strategic goals towards CR4.0. CR4.0 has changed the nature of competitive resources by reshaping the structure and way construction firms work. Construction firms face various technological, human, and process-related challenges. The starting point for this research was based on exploring the potentials in reskilling and upskilling knowledge through the development of Intellectual Capital (IC) of the construction firms. As a result, based on the Resource-based View theory, CR4.0 implementation process has been approached as a knowledge-based innovation which occurred with the development of three IC capitals: Human Capital (HC), Relationship Capital (RC) and Structure Capital (SC ). Hence, this research aims to develop a Multi-Criteria Decision-Making (MCDM) prototype, used to support decision-making in CR4.0 readiness, named as the 'Construction Firm's Industry 4.0 Readiness MCDM (ConFIRM)’. The first objective is to identify the critical criteria of IC that may affect the CR4.0 implementation readiness. The process involved Systematic Literature review and semi-structured interviews. The second objective is to investigate the significant level of IC affecting CR4.0 implementation readiness through Analytical Hierarchy Process (AHP) technique. The third objective is to derive the weightage of criteria and sub-criteria of ConFIRM through Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Analytic Network Process (ANP). The fourth objective is to develop a prototype called as ConFIRM that comprising of 3 main criteria, 16 sub-criteria and 92 super sub-criteria according to their significance weightage in achieving CR4.0 implementation readiness. The MCDM results indicated HC (37%) to be the most critical CR4.0 main criteria, followed by SC (34%), and RC (29%) respectively. The HC represented the cumulative tacit knowledge within the organisation, and it would be the main generator of intangibles. For the sub-criteria level, the results indicated that “Management Capital (12%)” has been considered the most critical CR4.0 sub-criteria. The second most critical sub-criteria would be the “Experience Capital (10%)”, followed by “Process Capital (8%)”. On the other hand, the “Sustainable Capital (2%)” was the least critical sub-criteria. Then, the weightages were formulated into automated MCDM prototype, where the scores were calculated using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), indicating the CR4.0 implementation readiness. As for the fourth objective, ConFIRM was adopted in real case studies and evaluated based on the judgement of five experts to determine its applicability and validity in evaluating CR4.0 readiness of contracting firms in Malaysia. In the case studies, the experts recognised the performance and effectiveness of ConFIRM as the novel method for CR4.0 readiness evaluation. ConFIRM would be able to add value to the development of CR4.0 strategies by identifying the corrective/preventive actions needed, based on the readiness assessment, before the start of the implementation process

    Development of Performance Indicators Relationships on Sustainable Healthcare Supply Chain Performance Measurement Using Balanced Scorecard and DEMATEL

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    Sustainable healthcare supply chain performance measurement (SHSCPM) concept is still less developed. Globalization and pressure from stakeholder demand the operation of the supply chain to give attention to the environment effect, community, economic and intangibility assets. SHSCPM is feasibly developed for measuring the performance of simultaneous sustainability aspects and intangibility assets to meet customer satisfaction. This article discusses SHSCPM based on the balanced scorecard (BSC) with attention to the sustainability aspects, intangibility assets and relationships between the performance of perspectives and indicators. The perspectives and indicators of performance were identified by literature and the confirmed and validated by the survey to 7 expert respondents. We found 5 perspectives and 39 indicators from literature which were then confirmed to expert through a survey with an in-depth interview. From a survey that validated with a weighted average (WA) and level of consensus (LC), we found 31 valid indicators. Finally, 29 indicators from DEMATEL process were selected to be used on SHSCPM. The DEMATEL process found 2 indicators aren’t important and influence for other, namely inventory cost and regulations and laws. Besides, the four results on this study: intangibility indicators incorporated on innovation and growth were most affect to other indicators which the intangibility indicators were related with human resource, indicators on customer perspective were most important compared to other indicators, indicators on economic aspect were most important compared indicators on environmental and social aspects, and indicators on social aspect were not affected by other indicators. After that, human resource and customer were main factors for SHSCPM. Finally, relationships between perspectives and indicators used to design of BSC strategy map
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