RESUMEN
In this paper, we introduce a new distribution defined on Z , called the ZPMOIEP distribution, which can be viewed as a natural extension of the zero-and-one-inflated Poisson ( ZOIP ) distribution. It is designed to fit the count data with potentially excess zeros and/or ones, and/or minus ones. We explore its various properties and investigate the estimation of the unknown parameters. Moreover, simulation experiments are carried out to attest to the performance of the estimation. Through the use of a useful data set on football scores, the applicability of the proposed distribution is examined.
RESUMEN
As restaurants and other non-essential businesses shut down to halt the spread of COVID-19, food-trucks adapted their business model, taking advantage of lower overheads and the ability to be mobile, to provide a response to the spike in demand for ready-made food. Set in France, this study identifies how food-trucks harnessed technology to support sustainable social business. We use triangulation to collect and analyse data from consumers and food-truck owners/managers on their perceptions of the value proposition and its limitations. Framed by the lockdown, we unpack the challenges faced by society and investigate ways in which food-trucks provide a sustainable alternative for eating out. We contribute to theory on social business and social innovation by acknowledging the socio-technical synergy existing in the specific context of food-trucks. The study acknowledges social equation as a key success element and validates the principles of social business in a new context.