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ORAL, Muhittin

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Muhittin

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Now showing 1 - 6 of 6
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    Designing and implementing a real estate appraisal system: the case of Québec Province, Canada
    (Elsevier, 2015-03) Kettani, O.; Oral, Muhittin; Business Administration; ORAL, Muhittin
    Real estate appraisal is of great importance to several socio-economic stakeholders for different reasons and justifications: local governments and municipalities for taxation purposes; banks for mortgage and other credit applications processing; property valuation companies for marketing activities; and property developers and investors for sound investment decision-making. This paper summarizes the real estate appraisal system that has been developed for and with CUQ (Coomunaité urbaine de Québec), CUM (Communaité urbaine de Montréal), and Communaité urbaine de Gatineau (CUG) and implemented over the last twenty years in the Province of Québec. The salient features of the property appraisal system are: (1) property-specific individual appraisal using a new regression method called “analogical regression”, (2) mass-appraisal based on property-specific individual appraisals, and (3) the size of real estate coverage (over 1,050,000 properties) and the variety of real estate profiles considered (shopping centers, office buildings, residential properties, farms, industrial units, etc.).
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    Cross-efficiency in DEA: a maximum resonated appreciative model
    (Elsevier, 2015-03) Oral, Muhittin; Amin, G. R.; Oukilb, A.; Business Administration; ORAL, Muhittin
    The occurrence of multiple optimal solutions is an important and interesting issue in data envelopment analysis (DEA), for it allows flexibility to estimate the optimal cross-efficiencies of all decision making units (DMUs). This paper uses the advantage of multiple optimal solutions, be in the cases of efficient and/or inefficient DMUs, to integrate both the first and second-order voices of all DMUs and proposes a most appreciative cross-efficiency DEA method. The paper deals with multiple optimal solution cases within the context of cross-efficiency models and suggest a model that is most appreciative for all DMUs being cross-evaluated by all others. The merits and appreciative superiority of the proposed method is proven theoretically; and illustrated practically through a ranking study chosen from the literature.
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    Action research contextualizes DEA in a multi-organizational decision-making process
    (Elsevier, 2012-06-01) Oral, Muhittin; Business Administration; ORAL, Muhittin
    The theory of participatory action research (PAR) grew out of the practice of problem-solving in groups and organization by involving the participation of all pertinent stakeholders in decision-making process through empowerment. The ontological assumption is that “the world out there” is defined by the participating stakeholders as they understand and perceive it. The actionable knowledge thus produced is mostly used subjectively in the hope of a favorable organizational change or a transformation for betterment. On the other hand, Management Science/Operations Research (MS/OR) is more concerned with epistemological objectivity in identifying and defining managerial issues and finding solutions. In this paper we shall show that MS/OR can benefit from and contribute to PAR in complex decision making contexts. This kind of mutual benefit will be illustrated through a study reported in the area of R&D planning. It will be shown that PAR “contextualizes” problem structuring whereas MS/OR “optimizes” the consensual decision-making process in a multi-organizational context.
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    Conference paperPublicationOpen Access
    Reasoning types in Industrial Engineering/Operations Management processes
    (IEOM Society, 2019) Oral, Muhittin; Kettani, O.; Business Administration; ORAL, Muhittin
    Operations Management/Industrial Engineering modeling process entails a series of research paradigm decisions to be made as to (1) what the reality domain is - ontology, (2) how the problem domain is to be defined and theorized - epistemology, and (3) which solution domain is to be considered - methodology; and all three being based on axiological assumptions entailing ethical concerns. These paradigm-related decisions need to be based on a series of sound reasoning activities. In this regard, three types of reasoning - abductive, deductive and inductive -will be discussed in connection with a scheme of Operational Research/Management Sciencemodeling process.
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    The appreciative democratic voice of DEA: a case of faculty academic performance evaluation
    (Elsevier, 2014-03) Oral, Muhittin; Oukil, A.; Malouin, J.-L.; Kettani, O.; Business Administration; ORAL, Muhittin
    Data envelopment analysis (DEA) is in fact more than just being an instrument for measuring the relative efficiencies of a group of decision making units (DMU). DEA models are also means of expressing appreciative democratic voices of DMUs. This paper proposes a methodology for allocating premium points to a group of professors using three models sequentially: (1) a DEA model for appreciative academic self-evaluation, (2) a DEA model for appreciative academic cross-evaluation, and (3) a Non-DEA model for academic rating of professors for the purpose of premium allocations. The premium results, called DEA results, are then compared with the premium points “nurtured” by the Dean, called N bonus points. After comparing DEA results and N bonus points, the Dean reassessed his initial bonus points and provided new ones – called DEA-N decisions. The experience indicates that judgmental decisions (Dean's evaluations) can be enhanced by making use of formal models (DEA and Non-DEA models). Moreover, the appreciative and democratic voices of professors are virtually embedded in the DEA models.
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    Conceptualizing a research paradigm for multi-objective modelling in supply chain management
    (Wiley, 2015) Oral, Muhittin; Kettani, O.; Business Administration; ORAL, Muhittin
    The primary objective of this paper is to offer a particular research paradigm framework that takes into consideration ontological, epistemological, methodological and axiological assumptions for a more meaningful and comprehensive research activities while using multi-objective modelling approach in supply chain management (SCM) studies. However, the emphasis will be more on the implications of four ontological level definitions for multi-objective modelling in SCM research through a concept called ‘inclusiveness’. Such a particular research paradigm framework helps SCM researchers broaden their research problem definitions and enhance their multi-objective modelling process.