Information Security Policy Decision Making: An Analytic Hierarchy Process Approach

Abstract This study advances research on entrepreneurial orientation and business performance by assessing, prioritizing, ranking, and evaluating decision choices among entrepreneurial orientation attributes that influence small and medium scale enterprise performance in Nigeria. Data were gathered through the multi-criteria decision-making (MCDM) tool called analytic hierarchy process (AHP) based questionnaire administered to practicing entrepreneurs in Lagos State, Nigeria. The population of the study consists of all the firms (mainly small and medium scale businesses) registered by Lagos Chamber of Commerce, totalling 1766 at the time of this study. The sample size was calculated through Yamane formula, while entrepreneurs managing the sampled firms were the respondents carefully selected for the study through a random sampling procedure. Data collected were analysed through descriptive statistics and analytic hierarchy process procedures for eliciting the consistency ratio, consistency index, Lambda Max, local and global priority values for an effective policy decision. The priorities were established in line with the AHP framework using pairwise comparisons and judgment of entrepreneurs. The results revealed the preference of entrepreneurial orientation dimension that influenced business performance most based on pairwise experiences and trade-off of different attributes. This study explores the application of AHP methodology for measuring complex entrepreneurial decision-making process for enhancing business performance. Thus, the AHP revealed a potential research method in computing weights and chasing MCDM process.

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National Security Policy Decision-Making: The Case for Doctrine and Training

10.21236/ada432206 ◽

2000 ◽

Author(s):

Patrick A. Stallings

Keyword(s):

Decision Making ◽

National Security ◽

Security Policy ◽

Policy Decision ◽

National Security Policy ◽

Policy Decision Making ◽

And Training

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On Moderate Fuzzy Analytic Hierarchy Process Pairwise Comparison Model With Subcriteria

International Research Journal of Engineering IT & Scientific Research ◽

10.21744/irjeis.v2i3.41 ◽

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.

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

Journal of Supply Chain Management Systems ◽

10.21863/jscms/2015.4.1and2.002 ◽

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.

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