scholarly journals Specifics of Management of Enterprise Innovation Activities in the Czech Republic – The Decision-Making Mechanism

2018 ◽  
Vol 26 (3) ◽  
pp. 137-142
Author(s):  
Jindra Peterková ◽  
Jiří Franek
Keyword(s):  
Decision Making ◽  
New Technologies ◽  
Innovation Management ◽  
Analytic Hierarchy ◽  
The Czech Republic ◽  
Innovation Activities ◽  
Enterprise Innovation ◽  
Technical Solutions ◽  
Hierarchy Process

Abstract The majority of Czech managers are aware that the long-term competitiveness of the company depends primarily on the use of innovative technical solutions and investments in new technologies. Despite awareness of the importance of innovation, many companies do not know how to manage, implement, and evaluate them. Empirical research showed that most innovation firms implement, but do not systematically manage the implementation of innovative projects and the allocation of funds. There is a contradiction between companies’ ability to orientate themselves in the approaches available in the area of innovation management and the existence of a large number of approaches that can be used to address a particular type of innovation problem. A set of innovation concepts has been created to solve those challenges. Practical steps of the decision-making mechanism for selecting innovation concepts have been proposed. The decision-making mechanism is based on the analytic hierarchy process (AHP) and serves primarily for managers of medium and large enterprises.

scholarly journals Evaluación comparativa multifuncional de sistemas agrarios mediante AHP: Aplicación al olivar ecológico, integrado y convencional de Andalucía

2011 ◽  
Vol 5 (9) ◽  
pp. 27 ◽  
Author(s):  
Carlos Parra López ◽  
Javier Calatrava Requena ◽  
Tomás De Haro Giménez
Keyword(s):  
Decision Making ◽  
Farming Systems ◽  
Point Of View ◽  
Decision Makers ◽  
Analytic Hierarchy ◽  
Complex Decision Making ◽  
Olive Groves ◽  
Complex Decision ◽  
Hierarchy Process

Even though multifunctionality concept is reflected, implicit or explicitly, in the design of actual agrarian policies, its consideration when analysing and assessing farming systems is relatively limited in the scientific literature. Analytic Hierarchy Process (AHP) is proposed with this aim. AHP is a multicriteria discrete decision support technique that is used in complex decision making. This methodology is stated jointly with a proposed procedure to measure relative agreement among decision makers and uniformity of alternatives’ performances in group decision making. Finally AHP is implemented in the assessment of organic, integrated and conventional olive groves in Andalusia considering criteria of a different nature – economic, technical, sociocultural and environmental –. The final purpose is determining the more interesting growing techniques from a holistic point of view for all the society in the medium/long-term on the basis of knowledge of experts on olive.

scholarly journals An analysis of the influence of organizational leadership on innovation management using the Fuzzy-AHP method

2021 ◽  
Vol 14 (3) ◽  
pp. 521-544
Author(s):  
Roger Da Silva Wegner ◽  
Julia Tontini ◽  
Vânia Medianeira Flores Costa ◽  
Arthur Muller Junior ◽  
Deoclécio Junior Cardoso da Silva
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Innovation Management ◽  
Fuzzy Ahp ◽  
Technological Advancement ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Management Perspective ◽  
Management Area ◽  
Hierarchy Process

Purpose – The changes that occurred in the market, resulting from technological advancement, made companies pay attention to innovation in their processes, products or services, as a way to stand out. To enhance innovation in companies, focusing on leadership is an effective way. In this sense, the present study aimed to develop a model in order to list the priorities related to leadership and its interface with innovation, under the top management perspective of a telecommunications company.Design/methodology/approach – For the development of the model, the Fuzzy Analytic Hierarchy Process (Fuzzy-AHP) method was used to identify such factors and the best alternatives so that the investigated company can make consistent decisions. Thus, the criteria chosen by the Manager and Director were discovered, as well as the alternatives that they cherish, contributing to the development of innovation within the company.Findings – The results showed that the perception of the two interviewees was similar, however, it is emphasized that they should better choose how to apply innovation within the company.Originality/value – This study opens the way to highlight the importance of the theme of leadership and its interface with innovation for professionals in the management area, favoring decision making, in addition to contributing to the literature, deepening the debate on the theme of leadership and innovation, which is still incipient and needs development.

On Moderate Fuzzy Analytic Hierarchy Process Pairwise Comparison Model With Subcriteria

2016 ◽  
Vol 2 (3) ◽  
pp. 54
Author(s):  
G. Marimuthu ◽  
G. Ramesh
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Pairwise Comparison ◽  
Decision Models ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analysis Method ◽  
Analytic Hierarchy ◽  
Comparison Model ◽  
Hierarchy Process

Decisions usually involve the getting the best solution, selecting the suitable experiments, most appropriate judgments, taking the quality results etc., using some techniques.  Every decision making can be considered as the choice from the set of alternatives based on a set of criteria.  The fuzzy analytic hierarchy process is a multi-criteria decision making and is dealing with decision making problems through pairwise comparisons mode [10].  The weight vectors from this comparison model are obtained by using extent analysis method.  This paper concern with an alternate method of finding the weight vectors from the original fuzzy AHP decision model (moderate fuzzy AHP model), that has the same rank as obtained in original fuzzy AHP and ideal fuzzy AHP decision models.

A Soft Hierarchical Process Approach for Decision Making in A Supply Chain

2015 ◽  
Vol 4 (1and2) ◽  
Author(s):  
Rajeev Dhingra ◽  
Preetvanti Singh
Keyword(s):  
Decision Making ◽  
Process Approach ◽  
Decision Makers ◽  
Analytic Hierarchy ◽  
Conflicting Objectives ◽  
Realistic View ◽  
Hierarchy Process ◽  
Pair Wise Comparison ◽  
Supplier Selection Problem ◽  
Selection Of

Decision problems are usually complex and involve evaluation of several conflicting criteria (parameters). Multi Criteria Decision Making (MCDM) is a promising field that considers the parallel influence of all criteria and aims at helping decision makers in expressing their preferences, over a set of predefined alternatives, on the basis of criteria (parameters) that are contradictory in nature. The Analytic Hierarchy Process (AHP) is a useful and widespread MCDM tool for solving such type of problems, as it allows the incorporation of conflicting objectives and decision makers preferences in the decision making. The AHP utilizes the concept of pair wise comparison to find the order of criteria (parameters) and alternatives. The comparison in a pairwise manner becomes quite tedious and complex for problems having eight alternatives or more, thereby, limiting the application of AHP. This paper presents a soft hierarchical process approach based on soft set decision making which eliminates the least promising candidate alternatives and selects the optimum(potential) ones that results in the significant reduction in the number of pairwise comparisons necessary for the selection of the best alternative using AHP, giving the approach a more realistic view. A supplier selection problem is used to illustrate the proposed approach.

scholarly journals A Multi-Criteria Decision Support Concept for Selecting the Optimal Contractor

2021 ◽  
Vol 11 (4) ◽  
pp. 1660 ◽  
Author(s):  
Ivan Marović ◽  
Monika Perić ◽  
Tomaš Hanak
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Project Performance ◽  
Decision Makers ◽  
Construction Project Management ◽  
Analytic Hierarchy ◽  
Conflicting Demands ◽  
Decision Making Problem ◽  
Scientific Approach ◽  
Hierarchy Process

A way to minimize uncertainty and achieve the best possible project performance in construction project management can be achieved during the procurement process, which involves selecting an optimal contractor according to “the most economically advantageous tender.” As resources are limited, decision-makers are often pulled apart by conflicting demands coming from various stakeholders. The challenge of addressing them at the same time can be modelled as a multi-criteria decision-making problem. The aim of this paper is to show that the analytic hierarchy process (AHP) together with PROMETHEE could cope with such a problem. As a result of their synergy, a decision support concept for selecting the optimal contractor (DSC-CONT) is proposed that: (a) allows the incorporation of opposing stakeholders’ demands; (b) increases the transparency of decision-making and the consistency of the decision-making process; (c) enhances the legitimacy of the final outcome; and (d) is a scientific approach with great potential for application to similar decision-making problems where sustainable decisions are needed.

scholarly journals A Study on the Trend of Domestic Waste Generation and the Recognition of Recycling Priorities in Korea

2021 ◽  
Vol 13 (4) ◽  
pp. 1732
Author(s):  
Seok-ho Jung ◽  
Mee-hye Lee ◽  
Seong-ho Lee ◽  
Ji Whan Ahn
Keyword(s):  
Sustainable Consumption ◽  
Waste Recycling ◽  
Household Waste ◽  
Waste Generation ◽  
Analytic Hierarchy ◽  
Sustainable Consumption And Production ◽  
Survey Results ◽  
Scrap Metals ◽  
Hierarchy Process

In September 2015, the United Nations included ‘sustainable consumption and production’ as part of its 12th goal of sustainable development. The EU announced its Circular Economic Package in December 2015 to move from the existing linear economic structure to the net environmental system. Recycling of household waste has become more significant as a circular economic policy has been implemented to reflow waste into the economy through recycling worldwide. In this study, Korea’s household waste generation for 20 years from 1998 to 2017 was analyzed through statistical techniques. Waste generation tended to increase in the order of plastics and cans, and papers tended to decrease. The amount of bottle wastes has been on the decline after increasing. A questionnaire survey on recycling priority was conducted on 261 people, including participants in the EARTH-2019 recycling experience hall, using the analytic hierarchy process (AHP) technique. According to the survey, the recycling priorities of six types of household waste are (first) plastic, (second) cans, viny, scrap metals, (third) paper, and (fourth) bottles. Statistical analysis of mid- to long-term household waste generation and AHP-based household waste recycling priority survey results can be used as basic data, such as environmental analysis in Korea’s recycling-related policies and research.

scholarly journals How Can SMEs Become More Sustainable? Modelling the M-Commerce Consumer Behaviour with Contingent Free Shipping and Customer Journey’s Touchpoints Optimisation

2021 ◽  
Vol 13 (12) ◽  
pp. 6845
Author(s):  
Eliza Nichifor ◽  
Radu Constantin Lixăndroiu ◽  
Silvia Sumedrea ◽  
Ioana Bianca Chițu ◽  
Gabriel Brătucu
Keyword(s):  
Consumer Behaviour ◽  
Business Models ◽  
Rank Correlation ◽  
Transformation Process ◽  
Analytic Hierarchy ◽  
Negative Experience ◽  
Free Shipping ◽  
Hierarchy Process ◽  
Function Construction

Digital technology is leading the transformation of business models into sustainable ones, expanding and changing the competitiveness scenario. This paper aims to promote a new sustainable retailer model shaped by contingent free shipping theory and the optimisation of the customer’s journey, enriching the scientific literature by proposing a consumer behavioural model that highlights the contribution of four selected touchpoints to the sustainable transformation of SMEs. The research was elaborated by deploying a framework that presents five analysis methods, namely, an additive function construction, a TOPSIS method, a Spearman rank correlation coefficient calculation, a content analysis and an analytic hierarchy process, which engender the new model. Discovering nine distinguished categories of e-tailers, the sustainable retailer profile was developed and the touchpoint with the greatest contribution to the transformation process was identified. The results of the study allowed the authors to propose the model as a solution to withstand the preponderant negative experience provided by analysed e-tailers to digital buyers, representing the opportunity for SMEs’ sustainable transformation and long-term growth in a competitive, ever-growing market.

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