Optimal Decision Making Method for Multi Criteria Problems

Zamani, Roghayeh; Yousefi, Pirayeh

doi:10.7763/ijmlc.2013.v3.343

Cited by 3 publications

(2 citation statements)

References 2 publications

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“…The relative weights are achieved from pairwise comparison based on the judgement of experts. Suitable for both qualitative and quantitative studies, it also allows to check consistencies in judgement (Zamani & Yousefi, 2013).…”

Section: Methodsmentioning

confidence: 99%

Analysing Determinants of Employee Performance Based on Reverse Mentoring and Employer Branding Using Analytic Hierarchical Process

Agarwal,

Raghav

2023

Management and Labour Studies

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The COVID-19 pandemic has forced companies to change the way they operate. It has accelerated the shift from conventional to digital business processes. Human resource management is at the centre of such extraordinary changes, where digital solutions can help employees to effectively manage them. Two major aspects that have grabbed the researchers’ attention here are reverse mentoring and employer branding initiatives. This paper is an attempt to test whether the determinants of employer branding and reverse mentoring influence employee performance at work also. An analytic hierarchical process has been applied to test the same. The findings reveal four key variables that boost employee performance. They are employee engagement, employee empowerment, developmental value and interest value. Based on the results, the study offers some useful insights to the leaders and policy makers on determining priority during policy formulation, developing work practices and building or encouraging a work culture.

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Section: Methodsmentioning

confidence: 99%

Analysing Determinants of Employee Performance Based on Reverse Mentoring and Employer Branding Using Analytic Hierarchical Process

Agarwal,

Raghav

2023

Management and Labour Studies

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“…Output includes the ratio of the ratio and the consistency index obtained by measuring the main feature vector and the value of the feature. Since human decisions frequently tend to be arbitrary, and the AHP allows for some contradictory interventions [87,90,91].…”

Section: Analytic Hierarchy Process (Ahp)mentioning

confidence: 99%

Post-COVID-19 Recovery: An Integrated Framework of Construction Project Performance Evaluation in China

Guo

Liu

Xue

et al. 2023

Systems

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With the lifting of the COVID-19 lockdown, the construction industry is gradually moving towards a new normality. This study aims to evaluate the construction project performance in the post-COVID-19 pandemic context and proposes a roadmap framework to achieve project recovery in China. This paper follows a sequential mixed methodology with three core steps. First, the critical success factors (CSFs) and key performance indicators (KPIs) are derived from literature reviews and expert interviews. Second, the study conducts a questionnaire survey with 150 experts. Third, the research implements factor analysis and analytic hierarchy process (AHP) analysis for CSFs and characteristics and comparative analysis for KPIs. Based on the results, the study employs structural equational modelling (SEM) to connect the CSFs and KPIs and develop a roadmap towards the post-COVID-19 pandemic recovery of the construction projects. The study identifies 32 CSFs and 25 KPIs and categorises them into five clusters, respectively. The SEM analysis suggests that management and technological innovation significantly contribute to achieving enterprise strategic goals and advancing industrial development. The consistency of project goals and external expectations also positively affect the satisfaction level of stakeholders and social impact. In addition, the AHP clarifies that the stability of the external environment, the internal support, and the adequacy of resources are critical drivers to the post-COVID-19 recovery of construction projects. This research proffers a roadmap towards the project recovery of the construction industry in the post-COVID-19 era by connecting the performance indicators and their critical success drivers. The findings would guide comprehensive design and construction, project life cycle management, and assist in dealing with public health emergencies in construction project management to maximise the organisation’s profits and positive social impact.

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