MEASURING THE INNOVATION CAPACITY AND PERFORMANCE OF ORGANIZATIONS: A BALANCED SCORECARD APPROACH COMBINED WITH ANALYTIC NETWORK PROCESS

The growing imbalance in regional innovation development has become an urgent issue in China’s strategy to build an innovative country. To enrich the regional innovation capacity evaluation system, scientifically assess regional innovation capacity, and explore available pathways to improve regional innovation capacity, this paper introduces a multiattribute decision-making method for evaluating regional innovation capacity. First, a random forest model and the DEMATEL-based analytic network process (DANP) method are applied to calculate the weights of the evaluation attributes. Second, the multiobjective optimization by the ratio analysis method based on the maximum and minimum (MOORA-min-max method) is used to calculate the evaluation attribute gap ratios and regional innovation capacity of each region. Finally, the limitations of regional innovation development are identified based on the evaluation attribute gap ratios and the critical influence strength roadmap (CISR) to explore the regional innovation capacity improvement pathways. The results show that “output capacity of R&D personnel in universities and research institutes” is the most fundamental evaluation attribute in the regional innovation capacity evaluation, while “output efficiency of R&D funds in universities and research institutes” is the most influential evaluation attribute. Research in Sichuan and Inner Mongolia reveals that regions need to identify critical constraints in four aspects: knowledge creation, knowledge acquisition, enterprise innovation, and innovation environment, to improve regional innovation capacity.

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Balanced scorecard-based performance assessment of Turkish banking sector with the Analytic Network Process (ANP)

International Journal of Decision Sciences & Applications (2528-956X) ◽

10.20525/ijdsa.v1i1.1415 ◽

2020 ◽

Vol 1 (1) ◽

pp. 1-12

Author(s):

Hasan Dincer ◽

Umit Hacioglu ◽

Serhat Yuksel

Keyword(s):

Performance Assessment ◽

Balanced Scorecard ◽

Banking Sector ◽

Investment Decision ◽

Analytic Network Process ◽

Foreign Banks ◽

The Balanced Scorecard ◽

Financial Factor ◽

Bank Ownership ◽

Network Process

In the last decade, Performance assessment of banking sectors in advanced economies became a prominent issue investment decision. This paper aims to evaluate the balanced-scorecard-based performance of the Turkish banking sector using the Analytic Network Process Approach. Within this scope, all 33 deposit banks were intended to analyze out of 34 banks. Within this scope, we made an analysis in order to determine which perspectives of the balanced scorecard approach are appropriate for each type of bank (state banks, private banks, foreign banks). In this study, we used Analytic Network Process (ANP) approaches so as to achieve this objective. With a balanced-scorecard performance assessment of the banking sector using the ANP approach, all the factor priorities have been extracted and normalized to one for each cluster and final priorities have been obtained. The final priorities and rankings of each perspective of the balanced scorecard and the type of bank ownership have been assessed in the model. According to the results of the analysis, Findings demonstrate that (i) financial factor of balanced scorecard approach has the first rank with 65.7 percent; (ii) Customer perceptive is in the second rank with 22.1 percent. (iii)Third and fourth ranks have close results, (iv) learning and growth stay in the third rank with 6.3 percent (v) internal factor has the weakest importance with 5.9%, (vi) state banks into bank ownership have the highest rank with 53.9 percent, (vii) Private owned banks are the second in the relative performance of the bank groups with 36.1%, (viii) Balanced scorecard based performance of foreign banks are replaced in the last order with approximately 10%.

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Quantification of Corporate Performance Using Fuzzy Analytic Network Process

Handbook of Research on Novel Soft Computing Intelligent Algorithms - Advances in Computational Intelligence and Robotics ◽

10.4018/978-1-4666-4450-2.ch013 ◽

2014 ◽

pp. 385-413

Author(s):

Başar Öztayşi ◽

Cengiz Kahraman

Keyword(s):

Performance Measurement ◽

Balanced Scorecard ◽

Business Processes ◽

Measurement Model ◽

Analytic Network Process ◽

Future Performance ◽

Proposed Model ◽

Network Process ◽

Multi Attribute Decision Making ◽

Definition Of

Performance Measurement (PM) is a combination of a company’s characteristics that can be numerically expressed. The aim of the PM is to provide feedback about the success of current activities and give insight about future performance. Performance of a company depends on its vision and goals so the definition of performance can vary with time. While PM literature provides various models for PM, the most accepted model is Balanced ScoreCard (BSC). BSC supplies four inter-related perspectives that the companies can identify as indicators for performance. These perspectives are: financial, internal business processes, customer, and learning and growth perspectives. In this study, PM is formulated as a Multi Attribute Decision Making (MADM) problem and a Fuzzy Analytical Network Process (FANP) based performance measurement model is proposed. The performance measurement criteria are built based on four perspectives of BSC. The proposed model utilizes FANP in order to determine the relative importance of perspectives and indicators. The performance scores for each indicator are determined based on the predefined goals and these scores are aggregated to reach an overall performance score.

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Differences in prioritization of the BSC’s strategic goals using AHP and ANP methods

Journal of information and organizational sciences ◽

10.31341/jios.42.2.3 ◽

2018 ◽

Vol 42 (2) ◽

pp. 193-217 ◽

Cited By ~ 2

Author(s):

Aleksander Janeš ◽

Nina Begičević Ređep

Keyword(s):

Decision Making ◽

Balanced Scorecard ◽

Analytic Network Process ◽

Analytic Hierarchy ◽

The Balanced Scorecard ◽

Network Process ◽

Strategic Goals ◽

Key Issues ◽

Hierarchy Process

The development and empirical verification of the balanced scorecard (BSC) model, using the multi-criteria decision-making methods (MCDM) called the analytic hierarchy process (AHP) and the analytic network process (ANP), are the key issues of the presented research. The paper presents the methodology of the prioritization of the BSC goals with the AHP and ANP methods. Even though the prioritization of the goals is possible with both, findings from the empirical analysis showed that the ANP is more complementary with the BSC because of the influences among the goals in the BSC. The ANP supports the modelling of those influences (through dependencies) and the AHP does not. The paper discusses special situations in prioritizing the BSC goals (understanding the ANP from the perspective of the user and the BSC with strategic goals that do not directly influence any other strategic goal) and proposes solutions. Therefore, it can be asserted that introducing the ANP to implement the BSC and vice versa, improved the decision-making approach and the quality of the obtained results. The research was based on a case study of modelling the BSC for Ydria Motors LL (YM), a manufacturing company.

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