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The Analytical Hierarchy Process (AHP), a multicriteria decision support system that has been successfully applied to numerous decision-making situations, has been applied to patient assessment. The AHP was used with Timeslips™, a group storytelling program that encourages creative expression among dementia patients, to determine the optimal scale for pre and post assessment among the nine most common agitation and anxiety scales. The AHP used the six criteria identified by qualitative assessment of the nine scales: (1) validity/reliability, (2) observation period, (3) training required, (4) time to administer, (5) most appropriate administrator, and (6) accessibility/cost. The AHP indicated that the Overt Agitation & Anxiety Scale was optimal for use with Timeslips; the process and results are discussed.

The confidence in the qualifications and independence of the audit activities and professionals has been lost due to the financial scandals that have arisen over time. These scandals in the accounting and auditing fields caused both enterprises and investors to suffer from large amounts of losses and thus the need for reliable financial statements and corporate governance increased.

Both investors and decision-makers need independent assurance to achieve transparent, reliable, and impartial financial information. The fulfillment of this requirement is possible through independent auditing activity and independent audit firms. Business management shall carry out the selection of independent auditors based on various criteria (fee, reputation, audit team, relations, etc.). In addition, it may also be necessary to periodically change an independent audit firm due to rotation or other reasons (fee, disputes, relationships, etc.).

In this study, a ranking of the importance level of the evaluation criteria, for the selection and change of the independent audit firm in an enterprise in Borsa İstanbul (BIST) 100 in Turkey, was conducted. Analytical Hierarchy Process (AHP), which is one of the multicriteria decision-making techniques, was used for ranking. In the hierarchy established for the selection of the independent audit firm, the main criteria of the “audit fee” and the “reputation and qualifications of the audit firm” have been established. According to the findings obtained as a result of binary comparisons, the first four ranks among sub-criteria are “provision of international service,” “quality of technical expertise of audit firm,” “industry expertise of audit firm,” and “suitability of fee offered by audit firm.”

For the change of audit firm, four main criteria “audit fee,” “disputes arising during the audit process,” “relations with the audit firm,” and “rotation” are taken into consideration. For sub-criteria, first four criteria were “rotation of independent audit firm,” “rotation of independent auditor,” “audit firm’s inability to adequately practice proactive audit approaches,” and “inadequate communication.”

In this study, it is aimed to correctly weigh the criteria for the selection of qualified manager in a healthcare facility and to make the right selection among candidates with an objective method. In this study, in which the health manager selection was carried out with fuzzy Analytical Hierarchy Process (AHP) and MULTIMOORA methods, 8 candidates were evaluated according to 12 personnel selection criteria. Comparative matrices of qualified health manager selection criteria were presented to the expert opinion and analyzed with the fuzzy AHP method. According to the analysis result, among the 12 criteria; The “Crisis Management Skill” criterion is in the first place with 12.5% weight; The “Social Responsibility Awareness” criterion was found to be in the last place with 3.2% weight. The MULTIMOORA method was applied by analyzing the interview scores and criterion weightings of the candidates evaluated by the jury. According to the results of MULTIMOORA, Candidate 1 first place and Candidate 6 ranked last.

There has been an increasing amount of research on personnel selection in many business disciplines (Hough & Oswald, 2000; Breaugh & Starke, 2000). Research on internal auditor selection, however, has had limited exposure in the auditing literature (Bailey, Gramling, & Ramamoorti, 2003). Recently, Seol and Sarkis (2005) introduced an analytic hierarchy process (AHP) model that used a decision hierarchy based on the CFIA (competency framework for internal auditing) framework. A limitation of AHP, however, is the assumption of strict hierarchical relationship that needs to exist among factors.

The purpose of this paper is an introduction of a more robust model, the analytical network process (ANP), which relaxes the strict hierarchical and decomposition levels of the hierarchy and incorporates possible interrelationships and interdependencies of various personnel selection criteria, factors, and alternatives. In illustrating the application, we return to the CFIA model framework, describe how and where interdependencies exist amongst the CFIA factors/attributes, and how ANP is used in the internal auditor selection process. The illustration will also describe some sensitivity analysis for the ANP approach. The tool is not without its limitations that include the potential for geometrically more questions and information elicitation from the decision makers. Finally managerial and research implications associated with the technique and results are described.

The functional strategy map (FSM) is a tool used to capture the organizations' supply chain strategy. Its product, the strategy map, allows the organizations to apply the Conceptual System Assessment and Reformulation methodology (CSAR) with a multi-objective perspective to rethink the business strategy. The aim of this study is to optimize a company business strategy of corrugate cardboard boxes, with its strategic and tactical relations and problems obtained with the CSAR methodology and the FSM tool, as well as its operational priorities identified by the analytical hierarchy process, which is a tool to support multicriteria decision-making. This proposal, with a mixed methodology approach, generates multiple improvements, such as the reduction of the overall cost, the optimal fill rate operations, and the articulation of the strategic and functional decisions in this organization, which are based on a cost competitive strategy. The results were validated by the financial assessments that ensure an attractive return of the investment and the articulation between the business strategies with its functional plans.

Managing complex construction projects is a challenging task because it involves multiple factors and decision-making processes. A systematic evaluation of these complex factors is imperative for achieving project success. As most of these factors are qualitative or intangible in nature, decision makers often rely on subjective judgements when comparing and evaluating them. The hybrid techniques that integrate fuzzy set theory and the analytic hierarchy process (AHP) are able to deal with such problems. This chapter discusses various hybrid techniques of the fuzzy AHP and presents an application of these techniques to the evaluation of transportation project complexity, which is essential for prioritising resource allocation and assessing project performance. Project complexity can be quantified and visualised effectively with the application of the fuzzy AHP. This chapter enhances the understanding of construction project complexity and fuzzy hybrid computing in construction engineering and management. Future research should address the calibration of fuzzy membership functions in pairwise comparisons for each individual decision maker and develop computational tools for solving optimisation problems in the constrained fuzzy AHP. In the area of construction project complexity, future research should investigate how scarce resources are allocated to better manage complex projects and how appropriate resource allocation improves their performance.

The growth of tourism development in Malang makes some regions optimize their tourism potential, leading to economic growth in Indonesia. Malang regency has several tourism villages with the concept of sustainable tourism. Using leverage analysis from the multidimensional scaling approach (MDS), we find two sensitive attributes. An analytical hierarchy process (AHP) test was conducted, resulting in the best strategy for each tourism village: developing strawberry-picking tour for Pujon Kidul and new tourism packages related to water attraction for Sanankerto and developing Bromo volcano tourism package for Gubugklakah. These strategies are believed to increase the development of tourist villages without compromising their sustainability.

The United Nations Industrial Development Organisation (UNIDO) proposed the development of eco-industrial parks (EIP) related to the 9th, 12th, and 13th of the sustainable development goals (SDGs) for ensuring green industrial practice to deal with climate change. The first approach to EIP is choosing a suitable site, however, it is not a simple task, because it involves spatial factors and is always impaired by uncertainties that require more than one decision module. There is a fewer study in objectively assessing the criteria for the selection of suitable sites for EIP development to contribute to the SDG initiative. This study provides an integrated process for assessing a consistent weight of criteria for EIP site selection. Nine steps were used in the fuzzy-analytical hierarchy process namely criterion identification, hierarchical structure construction, triangular fuzzy number matrix, geometric ratio, fuzzy relative weight, defuzzification, normalisation, sensitivity analysis (SA) and weight ranking. When tested using spatial and non-spatial criteria for EIP site selection, results show transportation infrastructure (13%), raw materials (12%), water bodies (12%), climate (10%), labour (9%), land use (9%), markets (9%), governmental policies (8%), existing industries (7%), urban settlement (6%), and restricted areas (5%). The SA verified that any evaluation error of 2% or 5% on the criteria weight is insignificant, but for 10% error, results can be distorted. The study has developed a consistent, simple approach integrating hierarchical and uncertainty modules for choosing EIP locations, and it is proposed as a guide for selecting suitable greenfield or brownfield EIP sites for sustainable industrial practices.

Using the Analytical Hierarchy Process, this study aims to identify organizational and market factors that prevent hoteliers from adopting greener management systems. This study first constructs a list of critical factors based on expert judgments reported in the literature and the responses from a select group of experienced managers. Then, the list is further refined by six hotel managers who consolidate the factors, which results in four categories explained by 20 items. Subsequently, this study draws from surveys on an expert panel consisting of 20 study subjects who are familiar with hotel operations. The survey results show that hoteliers’ abilities to create a greener image are the most important factor influencing the managers’ decisions to adopt environmentally friendly management schemes. Nevertheless, their motivation of adopting a green strategy seems to be associated with a marketing strategy, instead of generic environmental stewardship.