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Article
Publication date: 6 November 2017

Simona Alfiero, Agata Lo Giudice and Alessandro Bonadonna

The purpose of this paper is to focus on food truck phenomenon, a particular kind of street food service, identifying two categories of performers: “Traditional Food Truck” (TFT…

6244

Abstract

Purpose

The purpose of this paper is to focus on food truck phenomenon, a particular kind of street food service, identifying two categories of performers: “Traditional Food Truck” (TFT) and “Gourmet Food Truck” (GFT). This paper evaluates and compares the efficiency performance of the main actors.

Design/methodology/approach

A sample of 41 food trucks in the Northwest of Italy was identified. A survey was carried out to determine the characteristics of the food truck and evaluate the efficiency performance of an output-oriented data envelopment analysis.

Findings

The two kinds of food trucks provide different levels of efficacy: the data showed that 22 per cent of the food trucks operate efficiently with an average efficiency score of 0.80. The results demonstrate that GFT are more efficient than TFT and confirm that innovation is an important key to competitive advantage in this sector.

Research limitations/implications

The data collected were related only to the food truckers that operate in the Turin area and the number of variables analysed is limited to certain aspects of production and selling processes.

Practical implications

The results provided some managerial indicators to improve the level of corporate efficiency, operating on technical decisions.

Originality/value

This is a pioneer study that analyses how a business based on the combination of tradition and innovation can offer a competitive advantage and strengthen a strong connection to its territory, improving corporate performance.

Details

British Food Journal, vol. 119 no. 11
Type: Research Article
ISSN: 0007-070X

Keywords

Article
Publication date: 2 June 2023

Riccardo Beltramo, Alessandro Bonadonna, Stefano Duglio, Giovanni Peira and Enrica Vesce

This paper aims at assessing the role of authenticity of local food in contributing to tourism as an ecosystem service in a small mountain tourism destination, i.e. Alagna…

Abstract

Purpose

This paper aims at assessing the role of authenticity of local food in contributing to tourism as an ecosystem service in a small mountain tourism destination, i.e. Alagna Valsesia (North-West of Italy).

Design/methodology/approach

A mix method approach has been adopted. The research has been carried out by using both CAWI (Computer Assisted Web Interview) and PAPI (Paper And Pen Interview) methodologies for surveys on the accommodation facilities managers and tourists. In addition, an analysis of electronic word-of-mouth platforms (TripAdvisor and Google) was implemented to understand more in-depth the local foodservice.

Findings

Findings show that Alagna Valsesia embodies its authenticity with the tradition of the local culture, characterised by natural heritage and Walser uses. Some tools are identified to improve the attractiveness of the tourist destination.

Research limitations/implications

The main limitation of this study can be found in the study' application to a rather limited and geographically restricted area.

Practical implications

The results provided by this study can help local policy-makers in driving local policies and public funds in implementing ecotourism based practices.

Originality/value

Although the role of local food has been much studied in relation to the tourism sector, to the knowledge of the authors, this contribution represents a first attempt to analyse local food's role in terms of local food's crossover contribution to supporting cultural tourism.

Details

British Food Journal, vol. 126 no. 1
Type: Research Article
ISSN: 0007-070X

Keywords

Article
Publication date: 2 October 2019

Simona Alfiero, Michael Christofi and Alessandro Bonadonna

The purpose of this paper is to demonstrate how food waste management can affect both retail and distribution operators’ efficiency performance and their ability to create value…

Abstract

Purpose

The purpose of this paper is to demonstrate how food waste management can affect both retail and distribution operators’ efficiency performance and their ability to create value. In particular, the paper shows how optimizing food waste management characterizes best practices and favors the development of sustainability.

Design/methodology/approach

Based on a survey of 196 outdoor market operators (including farmers and street food traders) from 27 outdoor markets, the authors analyzed unsold food/food wastage processes vis-à-vis the operators’ behavior and attitude. To provide accurate definitions of the satisfaction levels, a consumer perception survey was carried out, with a usable sample of 2,107 questionnaires. The efficiency performance was evaluated according to data envelopment analysis.

Findings

The results showed that farmers operate more efficiently than street food traders and that the traditional management of unsold food/food waste is an important competitive element in this sector.

Research limitations/implications

The sample represents the Greater Turin Area in Italy, i.e., thus, limiting generalizability of the results. In addition, the variables analyzed were limited to certain aspects of selling processes and food waste management.

Practical implications

The results provide some indicators on how a more rational style of unsold food management can improve an operators’ performance and help make a social impact.

Originality/value

To the best of the authors’ knowledge, this is the first study that analyses outdoor market operators’ efficiency, based on the use of food waste as a variable affecting their performance.

Details

British Food Journal, vol. 122 no. 5
Type: Research Article
ISSN: 0007-070X

Keywords

Article
Publication date: 15 January 2021

Chiara Giachino, Luigi Bollani, Alessandro Bonadonna and Marco Bertetti

The aim of the paper is to test and demonstrate the potential benefits in applying reinforcement learning instead of traditional methods to optimize the content of a company's…

Abstract

Purpose

The aim of the paper is to test and demonstrate the potential benefits in applying reinforcement learning instead of traditional methods to optimize the content of a company's mobile application to best help travellers finding their ideal flights. To this end, two approaches were considered and compared via simulation: standard randomized experiments or A/B testing and multi-armed bandits.

Design/methodology/approach

The simulation of the two approaches to optimize the content of its mobile application and, consequently, increase flights conversions is illustrated as applied by Skyscanner, using R software.

Findings

The first results are about the comparison between the two approaches – A/B testing and multi-armed bandits – to identify the best one to achieve better results for the company. The second one is to gain experiences and suggestion in the application of the two approaches useful for other industries/companies.

Research limitations/implications

The case study demonstrated, via simulation, the potential benefits to apply the reinforcement learning in a company. Finally, the multi-armed bandit was implemented in the company, but the period of the available data was limited, and due to its strategic relevance, the company cannot show all the findings.

Practical implications

The right algorithm can change according to the situation and industry but would bring great benefits to the company's ability to surface content that is more relevant to users and help improving the experience for travellers. The study shows how to manage complexity and data to achieve good results.

Originality/value

The paper describes the approach used by an European leading company operating in the travel sector in understanding how to adapt reinforcement learning to its strategic goals. It presents a real case study and the simulation of the application of A/B testing and multi-armed bandit in Skyscanner; moreover, it highlights practical suggestion useful to other companies.

Details

Industrial Management & Data Systems, vol. 121 no. 6
Type: Research Article
ISSN: 0263-5577

Keywords

Article
Publication date: 19 October 2018

Alessandro Bonadonna, Andrea Matozzo, Chiara Giachino and Giovanni Peira

The purpose of this paper is to analyze farmer behavior, considering their attitude toward food waste with particular focus on their involvement in the last phase of the process…

1287

Abstract

Purpose

The purpose of this paper is to analyze farmer behavior, considering their attitude toward food waste with particular focus on their involvement in the last phase of the process, the retail phase. It assesses the different approaches applied to food waste management and its future.

Design/methodology/approach

A sample of 35 farmers in the Porta Palazzo market, the biggest food market in the Turin Area (north-west Italy), was identified and a survey was carried out to determine the behavior and perception of farmers regarding food waste and the management of unsold food.

Findings

Results show that there is a high level of interest on the ethical and charitable aspects of food waste and unsold food. However, awareness and knowledge of the initiatives organized by institutions are not sufficient.

Practical implications

If policy makers and institutions have an understanding of farmer behavior, they can implement ad hoc initiatives to reduce food waste and build on the work already done by farmers. Additionally, farmers can help customers to better understand the products.

Originality/value

This study analyzes the perception of the food waste phenomenon for one type of traditional operator in the food supply chain, the farmer. The originality of the paper lies in the fact that it has not only considered the perception of food waste but also the management of unsold food in a market area.

Details

British Food Journal, vol. 121 no. 1
Type: Research Article
ISSN: 0007-070X

Keywords

Content available
Article
Publication date: 6 November 2017

Stefano Bresciani

7724

Abstract

Details

British Food Journal, vol. 119 no. 11
Type: Research Article
ISSN: 0007-070X

Abstract

Details

Industrial Management & Data Systems, vol. 121 no. 6
Type: Research Article
ISSN: 0263-5577

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