An Analytical Hierarchical Process-based decision-making approach for selecting car-sharing stations in medium size agglomerations

Author(s):  
Anjali Awasthi ◽  
Satyaveer S. Chauhan ◽  
Xavier Hurteau ◽  
Dominique Breuil
2018 ◽  
Vol 28 (5) ◽  
pp. 1489-1496
Author(s):  
Branislav Stanisavljević

Research carried out in the last few years as the example of companies belonging to the category of medium-size enterprises has shown that, for example, typical enterprises, of the total number of data processed in information of importance for its business, seriously takes into consideration and process only 10% of the observed firms. It is justifiable to ask whether these 10% of the processed and analyzed business information can have an adequate potential or motive power to direct the organization to success that is measured by competitive advantages and on a sustainable basis? Or, the question can be formulated: what happens to the rest, mostly 90% of the information that the enterprise does not transform into a form suitable for business analysis and decision-making. It is precisely the task of business intelligence to find a way to utilize all the data collected and processed in the business decision-making process. In this regard, we can conclude that Business Intelligence is, in fact, the framework title for all tools and / or applications that will enable the collection, processing, analysis, distribution to decision-making bodies in the business system in order to derivate from this information valid business decisions - as the most important and / or most important task of the manager. Of course, from an economic point of view, the best decisions are management decisions that provide a lasting competitive advantage and achieve maximum financial performance. This means that business intelligence actually allows a more complete and / or comprehensive view of the overall business performance of all its parts and subsystems. But the system functions can be measured essential and positive economic and financial performance, as well as the position in the branch of the business to which it belongs, and wider, within the national economy. (Of course, today the boundaries of the national economy have become too crowded for many companies, bearing in mind globalization and competitiveness in the light of organization of work and business function). The advantage of business intelligence as a model, if accepted at the organization level, ensures that each subsystem in the organization receives precisely the information needed to make development decisions, but also decisions regarding operational activities. So, it should be born in mind that business intelligence does not imply that information is shared on some key words, on the contrary, the goal is to look at the context of the business, or in general, and that anyone in the further decision hierarchy can manage exactly the same information that is necessary for achieving excellent business performance. Because, if the insight into the information is not complete, the analysis is based on the description of individual parts, i.e. proving partial performance in the realization of individual information, which can certainly create a space for the loss of the expensive time and energy. Illustratively, if the view, or insight into the information, is not 100%, then all business decision-making is like the song of J.J. Zmaj "Elephant", about an elephant and a blindmen, where everyone feels and act only on the base of the experienced work, and brings judgment on what is what or what can be. As in this song for children, everyone thinks that he touches different animals and when they make claims about what they feel, everyone describes a completely different life. Therefore, business intelligence implies that information is fully considered and it is basically the basis or knowledge base, and therefore the basis of business excellence. In doing so, the main problem is how information is transformed into knowledge and based on it in business decision making. It is precisely in this segment that the main advantage of business intelligence is its contribution to the knowledge and business of the company based on power of knowledge. Therefore, for modern business conditions, it is characteristic that the management of the company is realized on the basis of partial knowledge about stakeholders (buyers, suppliers, competitors, shareholders, governments, institutional framework, legislation), and only a complete overview of managers at the highest level in all these partial interest groups allows managers to have a “boat” called the organization of labor leading a safe hand through the storm, Scile and Haribde threatens to endanger business, towards a calm sea and a safe harbor - called a sustainable competitive advantage based on power and knowledge.


Water ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 198
Author(s):  
Igor Gallay ◽  
Branislav Olah ◽  
Zuzana Gallayová ◽  
Tomáš Lepeška

Flood protection is considered one of the crucial regulating ecosystem services due to climate change and extreme weather events. As an ecosystem service, it combines the results of hydrological and ecosystem research and their implementation into land management and/or planning processes including several formally separated economic sectors. As managerial and economic interests often diverge, successful decision-making requires a common denominator in form of monetary valuation of competing trade-offs. In this paper, a methodical approach based on the monetary value of the ecosystem service provided by the ecosystem corresponding to its actual share in flood regulating processes and the value of the property protected by this service was developed and demonstrated based on an example of a medium size mountain basin (290 ha). Hydrological modelling methods (SWAT, HEC-RAS) were applied for assessing the extent of floods with different rainfalls and land uses. The rainfall threshold value that would cause flooding with the current land use but that would be safely drained if the basin was covered completely by forest was estimated. The cost of the flood protection ecosystem service was assessed by the method of non-market monetary value for estimating avoided damage costs of endangered infrastructure and calculated both for the current and hypothetical land use. The results identify areas that are crucial for water retention and that deserve greater attention in management. In addition, the monetary valuation of flood protection provided by the current but also by hypothetical land uses enables competent and well-formulated decision-making processes.


2019 ◽  
Vol 13 (3/4) ◽  
pp. 237-256 ◽  
Author(s):  
Nikolaos Panayiotou ◽  
Vasileios Stavrou

Purpose This paper aims to construct an assessment framework to establish a maturity model for Web Electronic Services offered at a local government level and investigate the maturity of Greek municipalities in the E-Government field, trying to correlate how this is affected by demographic variables. Design/methodology/approach An original assessment framework regarding municipal Electronic Services was created based on the literature review. The assessment framework was included in a methodological approach supported by the PROMETHEE II method, as well as by selected statistical methods. The framework and the methodological approach were applied in the case of Greek municipalities. Findings The analysis revealed the low maturity level of Greek municipalities in Electronic Services sector. The Greek case study indicated that the proposed framework and methodological approach could provide useful insights to municipalities for the improvement of its E-Government Web services based on their strategic preferences. Research limitations/implications The assessment took place only in Greece, assessing all the country's municipalities and conducting research only in the municipalities’ websites. The proposed methodology suggests that the PROMETHEE II multi-criteria decision analysis method can support the assessment of the maturity level of local government entities. Moreover, the combination of the PROMETHEE II–empowered assessment framework with demographic statistical analysis can assist orthological decision-making concerning future investments in Web Electronic Services. The methodology could be a good option for future research efforts (assessments) in municipalities, in Greece and worldwide. Practical implications The framework is both easy to use and fairly complete. The fact that the assessment was conducted in all the Greek municipalities makes it much more reliable, as it provides the whole picture. The suggested methodology which includes the proposed framework could be used in the cases of municipalities in other countries to assist future actions concerning the investment in Web Electronic Services. Originality/value This study provided a medium-size framework, being both complete and easy to use during the evaluation process of all the municipalities in Greece. In addition, the statistical analysis received data from a decision-making tool to execute the clustering (Cluster analysis is usually performed based on the raw data).


2019 ◽  
Vol 18 (05) ◽  
pp. 1631-1665 ◽  
Author(s):  
Rodolfo Mendoza-Gómez ◽  
Roger Z. Ríos-Mercado ◽  
Karla B. Valenzuela-Ocaña

In this paper, we address a decision-making problem related to the requirement of costly equipment by medical diagnostic services in a segmented public healthcare system comprising several institutions and private providers. The problem is motivated by a real-world case of the Mexican healthcare system. The aim of this study is to determine which hospitals can provide the service, their capacity levels, the allocation of demand in each institution, and the referral of patients to other institutions or private providers while minimizing annual investment costs and operating costs required to satisfy demand. A mixed-integer linear programming model that takes into account different characteristics such as patient acuity levels, types of equipment, and demand variation through time is introduced. The model was empirically assessed to evaluate its impact on the decision-making process. A sensitivity analysis to evaluate solution behavior for variations of critical parameters was performed. The results showed that some values could generate a significant effect on the total costs for the service coverage and in the efficiency of the service, whereas overall results indicated the usefulness of the model. While this model is valuable to aid this decision-making problem, it is limited to medium-size instances of up to 90 facilities. To solve the problems with larger instances, a two-phase heuristic algorithm is proposed. In the first phase, the method uses a greedy construction mechanism, and in the second phase, it attempts to improve the solution. Empirical evidence on large instances shows that good solutions with low computing times are reached in comparison with the exact method.


2001 ◽  
Vol 14 (1) ◽  
pp. 11-23 ◽  
Author(s):  
Per-Olof Bjuggren ◽  
Lars-Göran Sund

This paper deals with intergenerational successions of small and medium-size enterprises (SMEs). Entrepreneurs face an unavoidable succession dilemma: they must make either explicit or implicit strategic decisions about transitioning ownership of the family business. The main alternatives are to sell the company to someone outside the family or to make arrangements for an interfamily succession. In the latter case, there are many transition modes, e.g., through a gift of shares or a will. This paper uses decision trees to analyze intergenerational successions problems. One conclusion of the paper is that it is important for a society to provide a legal system that facilitates transitions of family companies within the family because the legal system will, among other positive factors connected with family businesses, preserve idiosyncratic knowledge of family character.


2018 ◽  
Vol 43 (3) ◽  
pp. 404-420 ◽  
Author(s):  
Tiffany Hutcheson ◽  
Graeme Newell

Decision-making in property investment by superannuation funds is an important investment decision, but it is different to their decision-making on other asset classes included in their asset portfolios. The large value and heterogeneous nature of individual pieces of real estate make the market for real estate relatively illiquid and subject to larger transaction costs than other asset classes. Based on interview surveys of Australian superannuation funds, using the analytical hierarchical process (AHP), we identified strategic decision-making as being the most important factor used by the superannuation funds when making decisions on the management of their property investment portfolio. Comments during the interviews indicated that their decisions were influenced by restrictions in their fund’s investment mandate and the level of funds that they had to invest. The AHP technique has allowed this research to provide a more in-depth understanding of the management of decision-making factors than previous surveys.


2010 ◽  
Vol 62 (1) ◽  
pp. 79-112
Author(s):  
Dusko Lopandic

The position of small and medium size countries in international context has been studied. The main criteria of power in international relation is still the military and economic force, despite the fact that the size and resources of a country is not equivalent to its actual international influence. With the imposition of Vilsonian principles and with the creation of UN, the position of small and medium size countries has been somehow improved. It becomes even more favorable in the context of a well defined State coalition, which provides with some additional instruments of power. The European Union is the best example of a coalition providing a good framework for small and medium countries. In this article, six specifics mechanisms providing additional influence to small and medium size countries of the EU have been identified. They include the specificity of the EU legal system, decision making, the functioning of the EU bodies, the process of 'europeisation' etc.


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