Georgios N. Aretoulis, Jason Papathanasiou and Fani Antoniou
This paper aims to rank and identify the most efficient project managers (PMs) based on personality traits, using Preference Ranking Organization METHod for Enrichment Evaluations…
Abstract
Purpose
This paper aims to rank and identify the most efficient project managers (PMs) based on personality traits, using Preference Ranking Organization METHod for Enrichment Evaluations (PROMETHEE) methodology.
Design/methodology/approach
The proposed methodology relies on the five personality traits. These were used as the selection criteria. A questionnaire survey among 82 experienced engineers was used to estimate the required weights per personality trait. A second two-part questionnaire survey aimed at recording the PMs profile and assess the performance of personality traits per PM. PMs with the most years of experience are selected to be ranked through Visual PROMETHEE.
Findings
The findings suggest that a competent PM is the one that scores low on the “Neuroticism” trait and high especially on the “Conscientiousness” trait.
Research limitations/implications
The research applied a psychometric test specifically designed for Greek people. Furthermore, the proposed methodology is based on the personality characteristics to rank the PMs and does not consider the technical skills. Furthermore, the type of project is not considered in the process of ranking PMs.
Practical implications
The findings could contribute in the selection of the best PM that maximizes the project team’s performance.
Social implications
Improved project team communication and collaboration leading to improved project performance through better communication and collaboration. This is an additional benefit for the society, especially in the delivery of public infrastructure projects. A lot of public infrastructure projects deviate largely as far as cost and schedule is concerned and this is an additional burden for public and society. Proper project management through efficient PMs would save people’s money and time.
Originality/value
Identification of the best PMbased on a combination of multicriteria decision-making and psychometric tests, which focus on personality traits.
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Marina Marinelli and Fani Antoniou
The purpose of this paper is to propose a new procurement strategy with the aim to achieve higher value for money (VFM) in public works delivery. Its main innovation lies in the…
Abstract
Purpose
The purpose of this paper is to propose a new procurement strategy with the aim to achieve higher value for money (VFM) in public works delivery. Its main innovation lies in the possibility of optional submission of cost-efficient design variants by any interested contractor within the context of an open procedure. The final scope of works incorporates the variants approved, and all contractors are invited to submit a bid for the revised scope and budget.
Design/methodology/approach
This paper is a piece of applied research presenting the development of a new, cost-effective procurement strategy for public works, geared at the European Union (EU) legal framework. The strategy’s feature compilation has been based on comprehensive literature review while numerical data from a real world project were used to demonstrate its financial advantages.
Findings
The proposed strategy enables the delivery of the best value project at the lowest cost possible. This is achieved through ensuring high competition among competent contractors, improving the cost efficiency of technical solutions, discouraging future scope changes and establishing objectivity, fairness and transparency in the process of contract award.
Practical implications
The use of the proposed strategy results in public projects of enhanced VFM, reduced constructability issues and less scope changes during the construction stage.
Originality/value
The proposed strategy marks a new approach in procurement which enables the delivery of best VFM in public works. Therefore, it makes a valuable contribution towards the achievement of the overarching EU target for efficient public spending.
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Sachin Agarwal, Ravi Kant and Ravi Shankar
This paper intends to explore and appraise the humanitarian supply chain management enablers (HSCMEs) for efficient and effective humanitarian operations. This research aims to…
Abstract
Purpose
This paper intends to explore and appraise the humanitarian supply chain management enablers (HSCMEs) for efficient and effective humanitarian operations. This research aims to analyze the interaction of enablers for humanitarian supply chain management (HSCM) using a proposed hybrid framework consists of fuzzy Delphi (FD), interpretive structural modeling (ISM)–matriced impacts croises multiplication appliquee a un classement (MICMAC) and revised Simos approach.
Design/methodology/approach
This research is deliberate to identify 28 HSCMEs through a literature review and experts' opinions; out of which 20 HSCMEs are selected using FD. ISM is applied to know contextual relationship among the selected HSCMEs for developing a hierarchical model. The MICMAC analysis classifies the HSCMEs based on driving power and dependence power to validate the developed hierarchical ISM structure. The revised Simos technique is used to prioritize the HSCMEs to access its relative significance in humanitarian operations.
Findings
The finding of the analysis suggests that government policy and leadership support obtained the highest priority, having high driving power and low dependence power is significantly strategic and emerged as the leading driver for the HSCM implementation.
Research limitations/implications
ISM model presents an insight into interrelationship among HSCMEs, but this cannot quantify the impact of each HSCMEs.
Practical implications
Disaster relief aid agencies and stakeholders may focus on the enablers having high driving power and higher weight in designing and executing an effective and efficient humanitarian supply chain and to improve their activities and strategies of HSCM.
Social implications
This research helps humanitarian logisticians and humanitarian organizations to make better decisions to improve their operational performance in pre and postdisaster phases.
Originality/value
This paper explores the application of proposed hybrid framework to analyze the HSCMEs that can be considered as the original contribution.
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Umar Bashir Mir, Swapnil Sharma, Arpan Kumar Kar and Manmohan Prasad Gupta
This paper aims to enlighten stakeholders about critical success factors (CSFs) in developing intelligent autonomous systems (IASs) by integrating artificial intelligence (AI…
Abstract
Purpose
This paper aims to enlighten stakeholders about critical success factors (CSFs) in developing intelligent autonomous systems (IASs) by integrating artificial intelligence (AI) with robotics. It suggests a prioritization hierarchy model for building sustainable ecosystem for developing IASs.
Design/methodology/approach
This paper is based on the existing literature and on the opinion of 15 experts. All the experts have minimum of eight years of experience in AI and related technologies. The CSF theory is used as a theoretical lens and total interpretative structure modelling (TISM) is used for the prioritization of CSFs.
Findings
Developing countries like India could leverage IASs and associated technologies for solving different societal problems. Policymakers need to develop basic policies regarding data collection, standardized hardware, skilled manpower, funding and start-up culture that can act as building blocks in undertaking sustainable ecosystem for developing IASs and implementing national AI strategy. Clear-cut regulations need to be in place for the proper functioning of the ecosystem. Any technology that can function properly in India has better chances of working at the global level considering the size of the population.
Research limitations/implications
This paper had all its experts from India only, and that makes the limitation of this paper, as there is a possibility that some of the factors identified may not hold same significance in other countries.
Practical implications
Stakeholders will understand the critical factors that are important in developing sustainable ecosystem for IASs and what should be the possible order of activities corresponding to each CSF.
Originality/value
The paper is the first of its kind that has used the CSF theory and TISM methodology for the identification and prioritization of CSFs in developing IASs. Further, eight significant factors, that is, emerging economy multinational enterprises (EMNEs), governance, utility, manpower, capital, software, data and hardware, have come up as the most important factors in integrating AI with robotics in India.