An Integrated Interpretive Structural Modeling–fuzzy Analytic Network Process–benefits, Opportunities, Costs and Risks Model for Selecting Technologies

Lee, Amy H. I.; Kang, He‐Yau; Chang, Chao Cheng

doi:10.1142/s0219622011004592

Cited by 28 publications

(20 citation statements)

References 65 publications

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“…Lee et al [29] To determine the interrelationship among the criteria in a conceptual model to help analyze suitable strategic products for photovoltaic silicon thin-film solar cell power industry. Lee et al [30] To propose an integrated model, which applies ISM to understand the interrelationship among criteria, for evaluating various technologies for a flat panel manufacturer.…”

Section: Authors Theories or Applicationsmentioning

confidence: 99%

“…ANP has also been applied successfully to project selection, strategic decision, scheduling, and so on. The procedures of FANP are basically as follows [27,30]:…”

Section: Authors Theories or Applicationsmentioning

confidence: 99%

“…The benefits, opportunities, costs and risks (BOCR) concept, also proposed by Saaty, is one of the general theories of the ANP [30,32]. Four sub-networks, benefits, opportunities, costs and risks, can be constructed in a network.…”

Section: Benefits Opportunities Costs and Risks (Bocr)mentioning

confidence: 99%

“…Four sub-networks, benefits, opportunities, costs and risks, can be constructed in a network. In benefits (B) and opportunities (O) sub-networks, pairwise comparison questions ask which alternative is most beneficial or has the best opportunity under a factor [30]. In risks (R) and costs (C) subnets, the pairwise comparison questions ask which alternative is riskiest or costliest under a factor.…”

Section: Benefits Opportunities Costs and Risks (Bocr)mentioning

confidence: 99%

“…There are five different ways to combine the scores of each alternative under the four merits, and the relative priority, P i , for each alternative is [30,34]: 1. Additive: …”

Section: Benefits Opportunities Costs and Risks (Bocr)mentioning

confidence: 99%

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An Integrated Multi-Criteria Decision Making Model for Evaluating Wind Farm Performance

et al. 2011

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Abstract:The demands for alternative energy resources have been increasing exponentially in the 21st century due to continuous industrial development, depletion of fossil fuels and emerging environmental consciousness. Renewable energy sources, including wind energy, hydropower energy, geothermal energy, solar energy, biomass energy and ocean power, have received increasing attention as alternative means of meeting global energy demands. After Japan's Fukushima nuclear plant disaster in March 2011, more and more countries are having doubt about the safety of nuclear plants. As a result, safe and renewable energy sources are attracting even more attention these days. Wind energy production, with its relatively safer and positive environmental characteristics, has evolved in the past few decades from a marginal activity into a multi-billion dollar industry. In this research, a comprehensive evaluation model is constructed to select a suitable location for developing a wind farm. The model incorporates interpretive structural modeling (ISM), benefits, opportunities, costs and risks (BOCR) and fuzzy analytic network process (FANP). Experts in the field are invited to contribute their expertise in evaluating the importance of the factors and various aspects of the wind farm evaluation OPEN ACCESSEnergies 2011, 4 2003 problem, and the most suitable wind farm can finally be generated from the model. A case study is carried out in Taiwan in evaluating the expected performance of several potential wind farms, and a recommendation is provided for selecting the most appropriate wind farm for construction.

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Section: Authors Theories or Applicationsmentioning

confidence: 99%

“…ANP has also been applied successfully to project selection, strategic decision, scheduling, and so on. The procedures of FANP are basically as follows [27,30]:…”

Section: Authors Theories or Applicationsmentioning

confidence: 99%

Section: Benefits Opportunities Costs and Risks (Bocr)mentioning

confidence: 99%

Section: Benefits Opportunities Costs and Risks (Bocr)mentioning

confidence: 99%

“…There are five different ways to combine the scores of each alternative under the four merits, and the relative priority, P i , for each alternative is [30,34]: 1. Additive: …”

Section: Benefits Opportunities Costs and Risks (Bocr)mentioning

confidence: 99%

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An Integrated Multi-Criteria Decision Making Model for Evaluating Wind Farm Performance

et al. 2011

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Promoting sustainability through corporate social responsibility implementation in the manufacturing industry: An empirical analysis of barriers using the ISM‐MICMAC approach

Bux

Zhang

Ahmad

2020

Corp Soc Responsibility Env

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Corporate social responsibility (CSR) is a useful instrument to promote sustainability in organizations by focusing on their social, economic, and environmental aspects. Despite the growing adoption of CSR in the developed countries, it is at an initial stage of adoption in developing countries owing to the challenges faced by organizations. This study empirically identified the barriers to CSR adoption in a developing country context by taking the Pakistani manufacturing industry as a case. A novel framework was developed to analyze the obstacles by integrating the Delphi method (DM), interpretive structural modeling (ISM), and MICMAC. Initially, CSR obstacles were identified from previous literature; these were later filtered by using the DM. Furthermore, the data collected from experts and the results obtained through the application of ISM and MICMAC indicate that the “lack of resources, ” “lack of regulations and standards, ” and “lack of policy incentives” are the most critical barriers impeding CSR implementation in the Pakistani manufacturing industry. “Lack of concern for reputation” and “customers do not care about CSR” emerged as the least essential barriers to CSR adoption. The government, as the primary stakeholder and implementing agency, can act as the moderator to overcome these barriers and take initiatives for the effective adoption of CSR. This study would support manufacturing industry managers’ effort to understand the main obstacles to CSR adoption and develop an effective implementation policy for CSR adoption.

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On the Combinatory Nature of Knowledge Transfer Conditions: A Mixed Method Assessment

2021

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Organisations are increasingly creating inter-organisational ecosystem partnerships to innovate openly. Despite effective knowledge management significantly supporting ecosystem infrastructures, empirical insights into the importance of and interdependencies between conditions for successful knowledge exchange across ecosystem contexts remain unexplored within existing literature. This study implements a mixed-method approach to ascertain which conditions are responsible for knowledge transfer success across innovation ecosystems. Interpretive Structural Modelling was employed to analyse questionnaires with key ecosystem stakeholders, in order to impose a hierarchical structure upon the conditions. The configurational nature of these conditions, and their combinations into solutions for success was ascertained through analysing semi-structured interviews using fuzzy-set Qualitative Comparative Analysis. Results reveal multiple, mutually exclusive pathways to knowledge transfer success, grouped into three solution types, increasing understanding of the interrelated nature of the knowledge transfer conditions. Limitations and implications for future research are provided.

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An Integrated Interpretive Structural Modeling–fuzzy Analytic Network Process–benefits, Opportunities, Costs and Risks Model for Selecting Technologies

Cited by 28 publications

References 65 publications

An Integrated Multi-Criteria Decision Making Model for Evaluating Wind Farm Performance

An Integrated Multi-Criteria Decision Making Model for Evaluating Wind Farm Performance

Promoting sustainability through corporate social responsibility implementation in the manufacturing industry: An empirical analysis of barriers using the ISM‐MICMAC approach

On the Combinatory Nature of Knowledge Transfer Conditions: A Mixed Method Assessment

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