ENTERPRISE ENGINEERING

Call for application 42nd cycle

Bando ordinario

Educational goals and objectives

The Ph.D. Course in Business Engineering provides competencies for carrying out highly qualified research activities in public and private institutions, as well as specific professional competencies, contributing to the creation of the European Higher Education Area and European Research Area. In accordance with the guidelines of the Doctoral School of the Italian Association of Management Engineering (AiIG), the program is developed according to four fundamental guidelines:
TRAINING: it is based on participation in courses, seminars, summer schools, and the possibility of spending a period of study abroad in the numerous universities and research centers with which the University of Rome "Tor Vergata" has established collaboration agreements.
RESEARCH: to structure, with methodological rigor, an original research project and publish the results in national and international journals of the AiIG list.
IMPACT: the proposed program includes training courses and constant support to ensure the impact of research both on the advancement of knowledge in the management engineering sector and on the economic-social system of reference.
TEACHING. this activity is aimed at designing effective educational programs, and includes training on learning processes and on the skills necessary for an appropriate teaching activity.

Available Positions and Scholarships

University scholarship	7	University scholarship reserved to foreign applicants	0	Department scholarship	0
Scholarship funded by private research institution	0	Scholarship funded by private non-research institution	0	Scholarship funded by public research institution	0
Scholarship funded by public non-research institution	0	PhD position under national research programs	0	PhD position under EU research programs	0
Foreign independent candidates	0	Employee of private research institution/organisation under a cooperation agreement	0	Employee of private non-research institution/organisation under a cooperation agreement	0
Employee of public research institution/organisation under a cooperation agreement	0	Employee of public non-research institution/organisation under a cooperation agreement	0	PhD under higher education and research apprenticeship contract at a private research institution/organisation	0
PhD under higher education and research apprenticeship contract at a private non-research institution/organisation	1	PhD under higher education and research apprenticeship contract at a public research institution/organisation	0	PhD under higher education and research apprenticeship contract at a public non-research institution/organisation	0
No scholarship	0

Research topics

Founded by: Key Partner Consulting s.r.l.

Research topic: Internal enabling factors, digital transformation and AI as drivers of heterogeneous effects on productivity and employment
Description: This research topic aims to understand why firms that are ex ante similarly exposed to the same policy or shock (for instance tax incentives, digital transformation programs, or the introduction of artificial intelligence solutions) experience highly heterogeneous effects on productivity and employment. “Internal enabling factors” are defined as the within firm elements that determine how effective a given technology or policy is: the stock of physical and digital capital, the workforce’s skills and data/AI literacy, management quality, organizational design, operational processes, incentive systems, and an innovation oriented corporate culture. The project intends to develop a structured framework that, leveraging firm level micro data and consulting based case studies, systematically links different bundles of these enabling factors – especially the degree of digital maturity and AI adoption – to distinct trajectories in productivity, employment, and workforce upskilling. The candidate’s specific skills include applied micro econometrics, large scale firm level data analysis, assessment of AI impacts on organizational processes and business models, and consulting capabilities to translate empirical evidence into ex ante assessment tools and practical guidelines for AI enabled digital transformation
Scholarship type: DOTTORANDO CON CONTRATTO DI APPRENDISTATO DI ALTA FORMAZIONE E RICERCA PRESSO ENTE PRIVATO NON DI RICERCA

Lenght: 36

Self-certification of the academic qualification obtained through Model A:

Master’s Degree
Single-cycle Degree
Specialist Degree
Old-system Degree
Degree obtained abroad corresponding to EQF Level 7
provided that they belong to the following classes: tutte le classi di laurea

Admission Procedure

Qualifications assessment	The evaluation of qualifications takes into account the candidate’s academic and professional background, including their final degree grade, curriculum vitae, any scientific publications (assessed on the basis of originality, methodological rigor, and relevance), other academic qualifications, and letters of motivation and reference. The research proposal, with a maximum length of 12,000 characters, represents a central element of the selection process and must be consistent with the themes of the PhD program. It must include a clear definition of objectives, an analysis of the state of the art supported by an essential bibliography, the identification of innovative elements, and an assessment of the project’s feasibility. Bibliographic references must be relevant and up to date with respect to the proposed topic.
	does not require the presence of the candidates

Oral interview	The oral examination consists of a discussion of the submitted research proposal and aims to assess both the quality of the presentation and the candidate’s ability to critically engage with the project’s content. During the interview, knowledge of the required foreign languages is also evaluated through the reading and translation of an excerpt from a scientific article. Admission to the oral examination is contingent upon achieving a minimum score in the evaluation of qualifications and the research proposal, while final admission to the PhD program requires reaching an overall score threshold established by the call for applications.
language	ITALIANO INGLESE

contacts and info

Dott.ssa Cristina Landi (Responsabile della Segreteria Didattica) email: cristina.landi@uniroma2.it Tel. +39 06 7259.7355
Prof. Armando Calabrese (Coordinatore del Dottorato In Ingegneria dell'Impresa) email: calabrese@dii.uniroma2.it

Required documentation

§ research project

mandatory, the file must be uploaded within the call deadline

§ letter of introduction (by a teacher)
The reference letters must be submitted directly by the referees, not by the candidates, in accordance with the procedures specified in the Call for Applications