People-process-performance benchmarking technique in cloud computing environment

Abstract

Purpose Cloud computing is relatively a new type of technology demanding a new method of management techniques to attain security and privacy leading to customer satisfaction regarding “Business Protection” measure. As cloud computing businesses are usually composed of multiple colocation sites/departments, the purpose of this paper is to propose a benchmark operation to measure and compare the overall integrated people-process-performance (PPP) among different departments within cloud computing organization. The purpose of this paper is to motivate staff/units to improve the process performance and meet the standards in a competitive approach among business units. Design/methodology/approach The research method was conducted at Cirrus Ltd, which is a cloud computing service provider where a focus group consists of six IT professionals/managers. The objective of the focus group was to investigate the proposed technique by selecting the best practices relevant criteria, with the relevant sub-criteria as a benchmarking performance tool to measure PPP via an analytic hierarchy processing (AHP) approach. The standard pairwise comparative AHP scale was used to measure the performance of three different teams defined as production team, user acceptance testing team and the development team. Findings Based on best practice performance measurement (reviewed in this paper) of cloud computing, the proposed AHP model was implemented in a local medium-sized cloud service provider named “Cirrus” with their single site data center. The actual criteria relevant to Cirrus was an adaptation of the “Best practice” described in the literature. The main reason for the adaptation of criteria was that the principle of PPP assumes multiple departments/datacenters located in a different geographical area in large service providers. As Cirrus is a type of SMEs, the adaptation of performance measurement was based on teams within the same data center location. Irrelevant of this adaptation, the objective of measuring vendors KPI using the AHP technique as a specific output of PPP is also a valid situation. Practical implications This study provides guidance for achieving cloud computing performance measurement using the AHP technique. Hence, the proposed technique is an integrated model to measure the PPP under monitored cloud environment. Originality/value The proposed technique measures and manages the performance of cloud service providers that also implicitly act as a catalyst to attain trust in such high information-sensitive environment leading to organizational effectiveness of managing cloud organizations.

Determinants of employee creative behavior in the UAE public sector

“…To do so, we applied the analytic hierarchical process (AHP) method by Saaty (1980), which was developed to identify and prioritize different criteria to help in decision-making processes (Lasrado et al , 2015). Through the further application, it is now also considered as an appropriate method to prioritize determinants to build a customized model (AlJaberi et al , 2020; Alkhyeli and Ewijk, 2018; Kouatli, 2019).…”

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“…However, in the VSC, only a few studies consider the application of fuzzy for problem-solving, and the application of fuzzy AHP and fuzzy MOORA methodologies in the VSC is still absent in the literature. For instance, Arabsheybani et al (2018) use fuzzy MOORA and failure mode and effects analysis (FMEA) for sustainable supplier selection; Dorfeshan et al (2018) examine project critical path using multiple MOORA, multi-objective optimization on the basis of simple ratio analysis (MOOSRA) and technique of precise order preference (TPOP) methods; Kouatli (2019) uses the AHP in cloud computing environment; Shweta and Kumar (2021) apply the FAHP to analyze issues in the generic medicine supply chain of a pharmaceutical company of India; Akkaya et al (2015) employ hybrid FAHP-MOORA to solve industrial engineering sector problem; Luo et al (2019) use multiple MOORA for multiple criteria group decision-making and Das et al (2012) apply hybrid FAHP-MOORA for a comparative study of Indian technical education.…”

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“…Another relevant study was conducted by Wulandari et al [11] which explained the selection of benchmark partners using AHP on fashion SMEs Cotton.Go object. In addition, benchmarking and AHP are also widely used on different objects and problems by Singh et al [12], Strojny [13], Singh [14], Jabar et al [15], Kouatli [16]. Singh et al [12] implement AHP and benchmarking methods to help provide effective systematic decision support on the automobile car service industry in India.…”

“…Then, Jabar et al [15] applied AHP and benchmarking methods to compare service quality, financial performance, and quality management systems in hospitality. Other research conducted by Kouatli [16] developed AHP and benchmarking methods to identify the best alternative from different business units as a mechanism of enhancing the motivation of intermingled people-process overall competitiveness. Besides that, Mura and Sharif [17] used the benchmarking process on tourism website objects to evaluate and compare website quality with other websites, while Sadeghpour et al [18] used the AHP method in the marketing field with the object of Ghavamin Bank Mazandaran to determine a good marketing strategy.…”

“…Previous research used benchmarking and AHP methods to make improvements and provide decision support. [9] Based on Table 3 regarding State of The Art, it can be seen that benchmarking and AHP methods are very commonly used in various business sectors such as the automobile car service industry [12], polish public administration [13], airline industry [14], hospitality [15], cloud computing environment [16], small and medium-sized enterprise [8] [10] [11], and online music streaming [9], while in the tourism business sector, research has been carried out using the benchmarking method, but not using the AHP method and not researching related to IMC [17]. In addition, in the marketing field, the AHP method was used, but did not use the benchmarking method and did not research related to IMC [18].…”