We propose a new, computationally-efficient way to approximate the “grouped fixed-effects” (GFE) estimator of Bonhomme and Manresa (2015), which estimates grouped patterns of unobserved heterogeneity. To do so, we generalize the fuzzy C-means objective to regression settings. As the...

In today’s complex financial markets, the importance of cash flow management has dramatically increased. In this regard, the present study proposes a multi-objective programming model to configure cash flow management with an inventory control approach. Minimizing the earning quality (the...

This study aims to segment strategies consumers use to ‘cope’ with service failure using a novel clustering algorithm. It evaluates whether identified customer segments exhibit different anger prototypes, alongside variations in felt intensity therein. It also investigates whether different...

This research developed an approach to reliable team formation and supplier network design, focusing on a multi-objective model integrating fuzzy-set theory and social network analysis. The approach simultaneously focuses on reliable collaboration network, order allocation, capabilities (skills,...

The relevance of the study is substantiated by the fact that when managing the processes of oil transportation through main pipelines, it becomes necessary to determine and select the optimal operating modes of the oil pipeline units, taking into account the fuzziness of some part of the initial...

The foundations of economic expansion are the economic system and the market economy. The business climate has grown very dynamic and risky in recent years as a result of fundamental shifts in the market . Managers and operators of department shops and athletic goods manufacturing organizations...