Alessio Ishizaka

NEOMA Business School | NEOMA · Department of suppyl chain

The simultaneous consideration of various economic, social, and environmental factors in determining the proper location for constructing a sports complex for traditional games is crucial to the continuation of such events. This research takes a two-stage approach when studying where to locate such infrastructure. In the first stage, namely, that o...

Purpose This study aims to investigate the causal relationships within an experimental culture of improvisation capability and firm performance, following the logic of “culture-capability-performance” and building on informal institution theory and dynamic capability theory. Design/methodology/approach Data was mainly collected via on-site questi...

Procurement decisions are critical in sustainable supply chain (SC) transformation. Until now, mainly deterministic supplier selection and lot-sizing models have been suggested. Moreover, it is not easy to make a SC sustainable solely by focusing on carbon footprint. Other sustainability factors, such as social, water, and waste management need to...

Making decisions require increasingly more sophisticated methods. The Best-Worst method was developed recently to find a good balance between the amount of information required and its consistency. The Fuzzy Best-Worst method was then proposed to integrate the uncertainty and imprecision of evaluations. In this paper, we propose the Calibrated Fuzz...

The widespread outbreak of a new Coronavirus (COVID-19) strain has reminded the world of the destructive effects of pandemic and epidemic diseases. Pandemic outbreaks such as COVID-19 are considered a type of risk to supply chains (SCs) affecting SC performance. Healthcare SC performance can be assessed using advanced Management Science (MS) and Op...

In modern logistics, port transportation plays an important role in the development of the surrounding economy. However, to determine the level of port group competitiveness, regional ports must be classified. To realize this classification, this paper introduces a novel multiple criteria sorting method, ORESTE-SORT, together with its main characte...

The rapid spread of the COVID-19 pandemic has disrupted many economic activities around the world. The complete and partial lockdown policies, as well as the closure of borders by many countries has halted trade, consequently disrupting domestic and international supply chain networks. Like many other countries, various economic sectors in Pakistan...

Many multi-criteria decision sorting (MCDS) methods, a very active and worthy research topic in recent years, have been developed and applied to solve various real-world problems. In MCDS studies, the actions (alternatives) are assigned to a specific predefined class that is clarified in an ordinal manner according to the decision maker’s (DM’s) kn...

Purpose This study examines the relationship between the flexibility of working from anywhere and employees' psychological well-being (PWB) and safety. This study also investigates the moderating role of human resource (HR) leadership teams on HR policy (HRP), firm infrastructure (FRI) and remote work flexibility. Design/methodology/approach With...

The dynamic market environment has asserted that small and medium enterprises (SMEs), especially in the manufacturing sector, need to reassess their supply chain pursuits and effectively inculcate sustainable initiatives through digitalisation. Twenty-one barriers are identified, and fifteen solution initiatives (SI) have been suggested based on an...

The best-worst method is a recent and promising highly-developed multi-criteria decision-making technique. However, the algorithm proposes a range of possible weights. To help decision-makers, we incorporate three different types of behaviour (i.e. balanced, risk-taking, and risk-averse) to select the best point for each weight. To this end, we dev...

To deal with the destructive environmental effects of organizations, a closed-loop supply chain (CLSP), which has a significant role in the circular economy, has been introduced as one of the effective environmentally friendly tools. For a cohesive CLSP, appropriate supplier selection is a requirement. For this purpose, a three-step research method...

The criteria for selecting insulating materials in the energy retrofitting of industrial buildings can often be conflicting, leading to a multicriteria decision-making problem. This is the first study to take an indirect elicitation approach to solving this selection problem, which is particularly applicable in the preliminary phases of negotiation...

Financial institutions employ credit rating systems to classify new borrowers, set loan terms, and determine collateral requirements. Small and medium-sized businesses (SMEs) are frequently found to be unorganised when it comes to financial data management. Credit risk assessment using unstructured financial data is multifaceted for financial insti...

Pairwise comparisons have been a long-standing technique for comparing alternatives/criteria and their role has been pivotal in the development of modern decision-making methods. The evaluation is very often done linguistically. Several scales have been544 proposed to translate the linguistic evaluation into a quantitative evaluation. In this paper...

In group decisions, two issues need to be tackled: weighting opinions of different decision-makers and aggregating their evaluations. Many group aggregation techniques analyse these issues. These approaches can be correctly applied only if the weights assigned to all decision-makers are available. Unfortunately, there are situations where such weig...

In the global talent management (TM) field, scholars are calling for distinct and extended human resource (HR) architecture and systems facilitating the management of local talent. To answer to these calls, we adopted a stakeholder theory perspective that responds to five main criticisms of talent management in emerging markets (EMs). Based on that...

Marine pollution is an important environmental problem. One of the important causes of marine pollution is ship origin. This study deals with defining the importance degrees of ship origin marine pollution criteria. This paper suggests employing quality function deployment (QFD), interval type-2 fuzzy (IT2F) numbers, TOPSIS (technique for order per...

There are several manufacturing errors of different criticality, severity, and occurrence. Correcting all of them is difficult and costly. In this paper, we propose a new hybrid approach to classifying manufacturing errors in an automotive plant and, consequently, to selecting the portfolio of processes that require more attention from the manageme...

Over the past few years, supply chains have become globalised and multi-tiered. These factors complicate their structure as the focal company is responsible for the problems experienced at each stage in the multi-tier supply chain. The critical issue for focal companies in managing their multi-tier supply chain is to adopt sustainability standards....

Purpose – This narrative review presents a multi-stakeholder ethical framework for AI-augmented HRM, based on extant research in the domains of ethical HRM and ethical AI. More specifically, we identify critical ethical issues pertaining to AI-augmented HRM functions and suggest ethical principles to address these issues by identifying the relevant...

Supplier selection has long been a strategic cornerstone for the advancement of companies from the mining sector due to its impact on many sectors as inventory management, production planning, maintenance scheduling, financial resources and environment. In this regard, expert decision-makers should deem a number of performance conflicting criteria...

Purpose This study aims to examine the extended effects of corporate (ir)responsibilities in supply chains. More specifically, the authors compare the impact of social and environmental initiatives and failures in the reputational capital of supply chain partners. The authors investigate how (and if) companies’ decisions to prioritize different sus...

A probabilistic hesitant fuzzy set (PHFS) is a generalization of the hesitant fuzzy set (HFS) that adds the probability of occurrence to each possible value of the hesitant fuzzy element (HFE). It is a powerful tool for handling uncertain information, especially when there is no complete consensus or full dissensus among decision-makers. The TODIM...

Choosing the right place to set up temporary hospitals is one of the most important and urgent measures for pandemic response. To solve this problem, we propose a new hybrid approach based on two steps. Firstly, since human health is highly sensitive to the impact of decisions about temporary hospital locations and a mistake may pose severe threat...

The purpose of this paper is to bring attention to the most critical factor of multi-tier sustainable supplier management in an emerging economy. This study used an explorative approach to identify and understand the barriers to multi-tier sustainable supplier management in Pakistan’s textile sector and strategies to overcome these barriers. The to...

The main purpose of this paper is to explore the performance of white-collared gig workers using three theoretical perspectives: knowledge-based view theory, employee engagement theory, self-determination theory. The study investigates the relationship between intellectual capital, collective cognitive engagement, intrinsic motivation, and knowledg...

Most of multicriteria methods require the specification of different preference parameters. This necessitates a considerable cognitive effort from the decision maker, especially for those with no or limited knowledge about multicriteria analysis. The situation is further complicated within a group of decision makers. In this paper, we propose a mul...

The objective of this study is to examine the nature of the association that corporate ethics and CSR have with the two dimensions of organizational citizenship behavior (OCB), OCB toward other individuals in the company (OCBI) and OCB toward the organization’s strategies and objectives (OCBO). Based on a framework involving the resource-based view...

The new coronavirus a highly infectious disease with mutating variants leading to pervasive risk around geographies and public health system. The economy has been suffering due to the strategic lockdown adopted by the local administrative bodies in most of the countries is further leading to a major wave of unemployment with millions of job and bus...

In the ongoing context of climate change, there is an increasing need to support decision-making processes in the domain of landscape planning and management. Suitable evaluation techniques are needed to take into account the interests of actors and stakeholders in shared policy decisions. An important methodological contribution to the field is gi...

Multi-Criteria Decision Making (MCDM) is a complex process. It aims to support decision makers in making their decisions more effective and consistent. MCDM provides a useful and successful alternative for handling three main types of MCDM problems, namely, choosing, ranking and sorting. The first two are the most common problems studied but the th...

Most of multicriteria methods require the specification of different preference parameters. This necessitates a considerable cognitive effort from the decision maker, especially for those with no or limited knowledge about multicriteria analysis. The situation is further complicated within a group of decision makers. In this paper, we propose a mul...

Although Multi-criteria Decision Making methods have been extensively used for choice problems, their descriptive use has rarely been considered. The descriptive component is important because it allows decision makers to better understand the problem. In this paper, we add the descriptive method GAIA as an extension to the AHPSort method that help...

Various technological methods are available for industrial wastewater treatment (WWT), ranging from conventional to advanced treatment processes. It is therefore a complex exercise to select the most appropriate technology to treat the industrial wastewater in a particular situation. Many criteria can be considered in the decision‐making process; t...

Gynecobstetrics departments (GDs) oversee diagnosing, monitoring, and treating female reproductive diseases as well as assisting women during pregnancy. Their importance motivates the creation of suitable performance evaluation approaches for identifying weaknesses and designing focused interventions. Therefore, the aim of this paper is twofold: (a...

The abrogation of Multifiber Arrangement in the year 2005 pushed many developing nations into tough competition. Within the textile industry, despite having many advantages apparel manufacturing and exporting organizations (AMEOs) in developing nations are experiencing decline in their supply chain supply chain performance. Developing a comprehensi...

Multi-Criteria Group Decision Making (MCGDM) deals with the process of taking decisions among a number of decision makers who evaluate different alternatives on several criteria that may be conflicting. In such a type of problems conflicts may are not only related to the criteria but also with the decision makers that could result in unsatisfactory...

In the current context of climate change, Decision Makers are ever more interested to use multidisciplinary and interdisciplinary approaches to support the practice of resilience thinking within long-term strategies. This paper presents an experimentation of a Multicriteria Decision Analysis approach (MCDA) developed through the Analytic Network Pr...

There is growing concern amongst policy makers, managers and academic researchers over the role that social media plays in spreading misinformation, widely described as ‘Fake News’. However, research to date has mainly focussed on the implications of fake news for political communication and debate. There has been less focus on the implications of...

Clustering is a long and widely-used technique to group similar objects based on their distance. Recently, it has been found that this grouping exercise can be enhanced if the preference information of a decision-maker is taken into account. Consequently, new multi-criteria clustering methods have been proposed. All proposed algorithms are based on...

The analytic hierarchy process is a widely used multi-criteria decision-making method that involves the construction of pairwise comparison matrices. To infer a decision, a consistent or near-consistent matrix is desired, and therefore, several methods have been developed to control or improve the overall consistency of the matrix. However, control...

Purpose This study investigates a production process that requires N kinds of components for the production of a finished product. The producer orders the various kinds of components from different suppliers and receives the orders in lots at the beginning of each production cycle. Similar to situations often encountered in real life, the lead time...

Emerging economies, e.g. India, China and Brazil etc., face challenges to adopt food safety (FS) practices in their food supply chains. Considering food industry’s operations and processes, this study identifies 25 challenges to the FS initiatives involving the opinions of practitioners from six major Indian food producers and academic experts. The...

Sustainable warehousing is essential for organizations to achieve overall supply chain sustainability. Warehousing facilities have the greatest potential for reducing socio-environmental impact. Yet, both research and practice have given relatively less attention to considering all aspects of sustainability in warehouses. In order to address this g...

Purpose Facility location and re-location decisions are critical managerial decisions in modern supply chains. Such decisions are difficult in this environment as managers encounter uncertainty and risks. The study investigates establishing or moving distribution facilities in the global supply chain by considering costs, fulfilment, trade uncertai...

Six problem formulations exist in multi-criteria decision analysis (MCDA): choice, sorting, ranking, description, elimination and design problems. MCDA methods are generally developed for choice or ranking problems. Recently, several methods have been adapted for sorting problems. However, they all assume that the criteria are independent, which is...

Purpose The purpose of this study is to examine the portfolio of knowledge transfer (KT) activities in 162 UK higher education institutions. In doing so, this study creates an index and ranking, but more importantly, it identifies specific groupings or strategic profiles of universities defined by different combinations and strengths of the individ...

Despite serious threats as to their soundness, the adoption of composite indicators is constantly growing alongside their popularity, especially when it comes to their adoption in policy-making exercises. This study presents a robust non-compensatory approach to construct composite indicators that is mainly based, at least with respect to the basic...

Accounting for about 290,000–650,000 deaths across the globe, seasonal influenza is estimated by the World Health Organization to be a major cause of mortality. Hence, there is a need for a reliable and robust epidemiological surveillance decision‐making system to understand and combat this epidemic disease. In a previous study, the authors propose...

Crowdfunding is the practice of funding a project or venture by raising monetary contributions from a large number of people, typically via the Internet. Lendwithcare is amongst the first crowdfunding platforms specifically dedicated to support individual and group entrepreneurs in developing countries through partner microfinance institutions. A k...

For a PROMETHEE II method used to rank concurrent alternatives both preference functions and weights are required, and if the weights are unknown, they can be elicited by leveraging present or past partial rankings. If the known partial ranking is incorrect, the eliciting methods are ineffective. In this paper a logistic regression method for weigh...

This paper introduces the Best-Worst PROMETHEE method, which avoids the rank reversal problem of other PROMETHEE methods. We use this new technique to rank schools in the Programme for International Student Assessment (PISA). We consider three separate outputs, provided by average student attainments in mathematics, language, and sciences. Our samp...

The Analytic Hierarchy Process (hereafter AHP) is a popular multi-criteria decision-making technique. The extant AHP literature usually depicts the geometric mean or the arithmetic mean as a measure of aggregation to process group decisions. However, both these measures are subject to the influence of extreme opinions, and aggregations based on the...

Despite serious threats as to their soundness, the adoption of composite indicators is constantly growing alongside their popularity, especially when it comes to their adoption in policy-making exercises. This study presents a robust non-compensatory approach to construct composite indicators mainly based, at least with respect to the basic ideas,...

Increasingly complex value chains and rising competition require firms to employ advanced planning mechanisms. Planning is frequently done by corporate entities based on performance analysis techniques. Within planning processes, total resource levels that should be allocated are regularly defined ex-ante, giving rise to decision problems that go b...

This case study offers a new insight into application of multiple-criteria decision-making methods (MCDM) to social identity issues in the context of talent management. This study used MCDM to help a high-tech company to identify potential talents in its sale and marketing team (n=54). MCDM adjusted subjective information consisted of intangible or...

Purpose Prior research shows that universities differ in the knowledge exchange (KE) activities they pursue, but little is known about universities’ strategies regarding their portfolio of KE activities. The purpose of this paper is to explore the KE strategy of UK universities in specific relation to their portfolio of KE activities with small- an...

Because of increased carbon emissions, environmental protection initiatives have gained significant attention at global level. One of the major initiatives taken by the industrial sector to minimize the negative environmental effect of the value chain activities is Green Supply Chain Management (GSCM). In industry, soft (human resource-related) dim...

This article shows that ROC (Rank Order Centroid) weights cannot be proven to be the best surrogate weights contrary to the message frequently advertised in the multi-criteria and multi-attribute analysis literature. The authors fill here a knowledge gap by proving that the statistical tests used for establishing this superiority are not valid. Su...

Analytic Hierarchy Process (AHP) is a popular and long used multi-criteria decision analysis method. Despite this fact, there are still space for new research in all its methodological steps. These include problem structuring, pairwise comparisons, priorities derivation, consistency and reduction techniques of pairwise comparisons. Moreover, future...

We propose a methodology to employ composite indicators for performance analysis of units of interest using and extending the family of Stochastic Multiattribute Acceptability Analysis. We start evaluating each unit by means of weighted sums of their elementary indicators in the whole set of admissible weights. For each unit, we compute the mean, μ...

Analytic Hierarchy Process (AHP) is a well-founded and popular method in the Multi-Criteria Decision Analysis (MCDA) field. AHPSort, a recently introduced sorting variant, uses crisp class-assignment of alternatives. This can sometimes be misleading, especially for alternatives near the border of two classes. This paper aims at making the class ass...

Purpose: Regular surveys by the Malta Hotels & Restaurants Association (MHRA) indicate a substantial improvement in financial performance of 5-star hotels in Malta in recent years. Therefore, this study investigates if this positive performance is primarily due to customer-centricity by management. Design/methodology/approach: The assessment is ba...

Environmental-economic perspectives are recently taking growing momentum in the analysis of country-level performances, but few studies take into account the multi-dimensional nature of the phenomenon. The leading measure of pollution still remains only CO2 emission or, at best, CO2 equivalent emission. The few works taking a multi-criteria perspec...

In this short communication, the authors challenge the comparison experiments made by several authors regarding the performances of surrogate weights frequently used in additive multicriteria decision analysis. Statistical tests compare the rankings obtained, either with random ‘true weights’ from a given weight simplex, or with the considered surr...

We propose a development of the Analytic Hierarchy Process (AHP) permitting to use the methodology also for decision problems with a very large number of alternatives and several criteria. While the application of the original AHP method involves many pairwise comparisons between considered objects, that can be alternatives with respect to consider...

One of the most influential measures of multidimensional well-being, the Better Life Index, launched by OECD in 2011, contains a detailed overview of the social, economic, and environmental performances of different countries. Since its launch, a relevant number of empirical studies have been proposed on these data, but the role played by the dista...

Multi-criteria inventory classification groups inventory items into classes, each of which is managed by a specific re-order policy according to its priority. However, the tasks of inventory classification and control are not carried out jointly if the classification criteria and the classification approach are not robustly established from an inve...

In recent times, composite indicators have gained astounding popularity in a wide variety of research areas. Their adoption by global institutions has further captured the attention of the media and policymakers around the globe, and their number of applications has surged ever since. This increase in their popularity has solicited a plethora of me...

This paper presents an integrated methodology supporting decisions in urban planning. In particular, it deals with the prioritization and the selection of a portfolio of projects related to buildings of some values for the cultural heritage in cities. In particular, our methodology has been validated to the historical center of Naples, Italy. Each...