Competitiveness measurement system in the advertising sector

In this paper a new approach to find indicators that can be used to measure companies’ competitiveness and performance in an efficient and reliable way is presented. The aim is to assist managers of companies within a specific industrial sector by providing information about their relative position in the market so as to define better action plans that may improve the company’s performance. The approach combines the use of the Analytic Network Process, a multicriteria decision method, with the Balanced Scorecard. It allows the definition of a number of competitiveness indicators based on the performance and setting of the advertising sector. In this way it is possible to obtain a Competitiveness Index that allows a company to know its relative position with respect to other companies in the sector, and establish a ranking of the companies ordered by their competitiveness level. A case study in the advertising industry of Venezuela is provided. 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Performance Management Model of Sustainable Safe Production at Deep Mill Level Zone PT. Freeport Indonesia

One of the mine expansions that is expected to accelerate the production rate of PT Freeport Indonesia is the Deep Mill Level Zone (DMLZ) mine. The block caving mining method used at the DMLZ mine results in higher productivity levels at lower operating costs but requires ongoing equipment maintenance. This research aims to describe the factors and criteria that determine the production process, find a performance management model, and find the right strategic priorities to increase productivity at DMLZ mine. We analysed the condition of the maintenance management system at the DMLZ mine to find solutions and strategies so that equipment maintenance could be managed effectively. Sustainable Safe Production performance management is developed based on the Balanced Scorecard (BSC) approach combined with the Analytical Network Process (ANP), which is expected to determine the priority of solutions and strategies based on predetermined criteria and indicators. This performance management model considers six perspectives: finance, customers, production, safety, internal business processes, and learning and growth processes as benchmarks in measuring performance. We explained the determination of priority strategies that can be done to achieve three goals in sustainable safe production management: achieving production targets, safe and healthy mining processes, and achieving operational cost-effectiveness. Keywords: analytical network process (ANP), balanced scorecard (BSC), performance management, safe production, sustainable productio

Multidimensional Balanced Efficiency Decision Model

 In this paper a multicriteria methodological approach, based on Balanced Scorecard (BSC) and Analytic Network Process (ANP), is proposed to evaluate competitiveness performance in luxury sector. A set of specific key performance indicators (KPIs) have been proposed. The contribution of our paper is to present the integration of two methodologies, BSC – a multiple perspective framework for performance assessment – and ANP – a decision-making tool to prioritize multiple performance perspectives and indicators and to generate a unified metric that incorporates diversified issues for conducting supply chain improvements. The BSC/ANP model is used to prioritize all performances within a luxury industry. A real case study is presented. 

Can fuzzy Multi-Criteria Decision Making improve Strategic planning by balanced scorecard?

Strategic management is momentous for organizational success and competitive advantage in an increasingly turbulent business environment. Balanced scorecard (BSC) is a framework for evaluating strategic management performance which translates strategy into action via various sets of performance measurement indicators. The main objective of this research is to develop a new fuzzy group Multi-Criteria Decision Making (MCDM) model for strategic plans selection process in the BSC. For this to happen, the current study has implemented linguistic extension of MCDM model for robust selection of strategic plans. The new linguistic reasoning for group decision making is able to aggregate subjective evaluation of the decision makers and hence create an opportunity to perform more robust strategic plans, despite of the vagueness and uncertainty of strategic plans selection process. A numerical example demonstrates possibilities for the improvement of BSC through applying the proposed model

Multidimensional Balanced Efficiency Decision Model

 In this paper a multicriteria methodological approach, based on Balanced Scorecard (BSC) and Analytic Network Process (ANP), is proposed to evaluate competitiveness performance in luxury sector. A set of specific key performance indicators (KPIs) have been proposed. The contribution of our paper is to present the integration of two methodologies, BSC – a multiple perspective framework for performance assessment – and ANP – a decision-making tool to prioritize multiple performance perspectives and indicators and to generate a unified metric that incorporates diversified issues for conducting supply chain improvements. The BSC/ANP model is used to prioritize all performances within a luxury industry. A real case study is presented. 

Strategic Rethinking: Combination of Balanced Scorecard-based Approach and Fuzzy Analytic Network Process to Enhance the Education Quality

Educational providers should monitor and measure their performance continuously, in terms of delivering qualified education to the students and to improve their accountability. Although the importance of such an assessment process has been stressed in the literatures, policies and regulations, there is no framework that has been proposed to consider all the different relevant factors and determines semantically the level of the quality of education being delivered. In order to provide such an approach, in this paper we propose a framework by which the quality of education being delivered in a subject in an Indonesian university can be determined by using the Balanced Scorecard (BSC). The proposed approach will capture the different factors to be considered from the different perspectives and assimilate them to determine the quality of education. The resultant analysis will provide important inputs to the different stakeholders involved in taking appropriate measures to ensure that students\u27 learning experiences can be maintained at a certain desired level

Developing IT Strategic Planning Using Mobile Enterprise Architecture in the Academic Process of Atma Jaya Makassar University

The purpose of this research was to examine the feasibility of the development of mobile enterprise strategic plan, analyze the academic process and the utilization of information technology (IT), and generate documentation IT strategic planning by implementing Mobile Enterprise Architecture in the academic process of Atma Jaya University in Makassar. Data were taken from distributing questionnaires to 297 respondents and conducting interviews to 18 respondents. Data were examined using SWOT analysis, the incorporation of academic scorecard analysis and IT balanced scorecard analysis, financial analysis, as well as analytic hierarchy process (AHP). SWOT analysis results indicate that case study is in a weak position, which possibly never take advantage of opportunities since the weakness of the stand or the power is not enough to work on it. In addition, the results of the performance analysis of the utilization of information technology using the Balanced Scorecard analysis show that the average performance is sufficient. The result of documentation of IT strategic planning was analyzed with financial analysis indicating the feasibility of implementation because it provides benefits for university of 141,32%. Furthermore, Analytic Hierarchy Process (AHP) to determine the priority of IT strategy proposals shows that the main priority is to develop portal for student and lecturer

Green supply chain performance measurement using fuzzy ANP-based balanced scorecard:a collaborative decision-making approach

The purpose of this paper is to delineate a green supply chain (GSC) performance measurement framework using an intra-organisational collaborative decision-making (CDM) approach. A fuzzy analytic network process (ANP)-based green-balanced scorecard (GrBSc) has been used within the CDM approach to assist in arriving at a consistent, accurate and timely data flow across all cross-functional areas of a business. A green causal relationship is established and linked to the fuzzy ANP approach. The causal relationship involves organisational commitment, eco-design, GSC process, social performance and sustainable performance constructs. Sub-constructs and sub-sub-constructs are also identified and linked to the causal relationship to form a network. The fuzzy ANP approach suitably handles the vagueness of the linguistics information of the CDM approach. The CDM approach is implemented in a UK-based carpet-manufacturing firm. The performance measurement approach, in addition to the traditional financial performance and accounting measures, aids in firms decision-making with regard to the overall organisational goals. The implemented approach assists the firm in identifying further requirements of the collaborative data across the supply-cain and information about customers and markets. Overall, the CDM-based GrBSc approach assists managers in deciding if the suppliers performances meet the industry and environment standards with effective human resource

A decision support model for identification and prioritization of key performance indicators in the logistics industry

YesPerformance measurement of logistics companies is based upon various performance indicators. Yet, in the logistics industry, there are several vaguenesses, such as deciding on key indicators and determining interrelationships between performance indicators. In order to resolve these vaguenesses, this paper first presents the stakeholder-informed Balanced Scorecard (BSC) model, by incorporating financial (e.g. cost) and non-financial (e.g. social media) performance indicators, with a comprehensive approach as a response to the major shortcomings of the generic BSC regarding the negligence of different stakeholders. Subsequently, since the indicators are not independent of each other, a robust multi-criteria decision making technique, the Analytic Network Process (ANP) method is implemented to analyze the interrelationships. The integration of these two techniques provides a novel way to evaluate logistics performance indicators from logisticians' perspective. This is a matter that has not been addressed in the logistics industry to date, and as such remains a gap that needs to be investigated. Therefore, the proposed model identifies key performance indicators as well as various stakeholders in the logistics industry, and analyzes the interrelationships among the indicators by using the ANP. Consequently, the results show that educated employee (15.61%) is the most important indicator for the competitiveness of logistics companies

Optimizing of the Balanced Scorecard method for management of mining companies with the use of factor analysis

The managers of information age companies cannot rely merely on data derived from past activities of the company and focus on improving existing processes. They need a frame for measuring values that result from strategic goals of the company, a tool, which is focusing on obtaining information about company's current success, as well as finding new driving forces to ensure the future competitiveness of the company. Strategic business performance measurement system the Balanced Scorecard (BSC) is a suitable tool for improving the competitiveness of industrial companies. During its implementation, however, there is a conflict of perception of the importance of individual goals and measurable characteristics in partial perspectives of the BSC and its actual enforcement of the various strategic objectives in companies. The aim of this article is to verify the accuracy of BSC settings in an environment of selected companies in the Moravian-Silesian region with the emphasis placed on mining companies with the help of multidimensional statistics - factor analysis. The research took place in 2015 in cooperation with managers from the Moravian-Silesian Region (MSR), and it was divided into two kinds of research - quantitative and qualitative.Web of Science22444743