The business world is undergoing a revolution driven by the use of data and analytics to guide decision-making. While many forces are at work, a major reason for the business analytics revolution is the rapid proliferation of the amount of data available to be analysed. Recent days, big data is beginning to have a major impact on air travel with more data being created both through the plane se...

For organizations to make strategic decisions, they require knowledge derived from either internal resources or the external environment. This research examines the sharing of knowledge between an organization and its external customers, including the role of a customer-centric knowledge system. A recently developed customer-centric knowledge system is observed to determine the support it provi...

Evaluating and selecting the right contractors can increase the chances of success of a project and the organization. Considering the intense competition faced by organizations today, proper cost management to enhance profitability and customer satisfaction has attracted a lot of attention. The evaluation of contractors is usually a process thatis based on various criteria.By the end of it, the...

This volume collects the contributions presented at conference “Data-driven Decision Making” organized by Italian Association for Applied Statistics, held in Genoa from 12 to 14 September 2022. The papers cover a broad range of topics, with common thread: use statistical methods support decision-making both public administrations and private companies.

a r t i c l e i n f o Interest in the use of (big) company data and data-mining models to guide decisions exploded in recent years. In many domains there are human experts whose knowledge is essential in building, interpreting and applying these models. However, the impact of integrating expert opinions into the decision-making process has not been sufficiently investigated. This research gap d...

The aim of this work is to propose a new methodological approach to define customer specifications through the employment of an integrated Quality Function Deployment (QFD) – Analytic Hierarchy Process (AHP) model. The model, which is loosely based on QFD, incorporates the AHP approach to delineate and rank the relative importance weight of expressed judgments for customer needs and functional ...

This paper develops a decision support tool using an A2 method and data envelopment analysis (DEA) approach (A2-DEA). This new method is applied for the bank credit customer selection problem and credit scoring as a pilot survey at Export Development Bank of Iran. The proposed method has led to fewer calculations, faster and more accurate decision making, less complexity, and ability to ana...

This paper focuses on the business aspects of architecture decision making – in particular how to quantify the customer value of quality improvements to support architecture investment decisions. We developed concepts for quantifying the impact of quality improvements on customer value, customer value-in-use, and customer segments. In two real-life case studies we present (1) how the concept fo...