Maria Elena LATINO

Maria Elena LATINO

Ricercatore Universitario

Settore Scientifico Disciplinare ING-IND/35: INGEGNERIA ECONOMICO-GESTIONALE.

Dipartimento di Ingegneria dell'Innovazione

Centro Ecotekne Pal. O - S.P. 6, Lecce - Monteroni - LECCE (LE)

Ufficio, Piano terra

RTDa

Area di competenza:

Business and Innovation Management

Orario di ricevimento

Da concordare via mail.

Recapiti aggiuntivi

Edificio Aldo Romano, Piano Terra, Ufficio "America"

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Curriculum Vitae

Maria Elena Latino è Ricercatrice al Dipartimento di Ingegneria dell’Innovazione presso Università del Salento. Ha conseguito il Dottorato in Ingegneria dei Sistemi Complessi presso il Dipartimento di Ingegneria dell'Innovazione dell'Università del Salento. Gli ambiti di ricerca in cui opera sono orientati verso lo sviluppo di tecnologie, metodologie e modelli organizzativi a sostegno dei processi di Sviluppo di Nuovo Prodotto ed Innovazione in sistemi industriali complessi, con particolare riferimento all'industria Agroalimentare. La sua attività didattica concerne il modulo di ‘Business Integrated Management’ afferente al Corso di Laurea in Management Engineering.

Didattica

A.A. 2021/2022

BUSINESS INTEGRATED MANAGEMENT

Degree course MANAGEMENT ENGINEERING

Course type Laurea Magistrale

Language INGLESE

Credits 12.0

Owner professor Angelo CORALLO

Teaching hours Ore totali di attività frontale: 108.0

  Ore erogate dal docente MARIA ELENA LATINO: 27.0

Year taught 2021/2022

For matriculated on 2021/2022

Course year 1

Structure DIPARTIMENTO DI INGEGNERIA DELL'INNOVAZIONE

Subject matter Percorso comune

Location Lecce

Torna all'elenco
BUSINESS INTEGRATED MANAGEMENT

Degree course MANAGEMENT ENGINEERING

Subject area ING-IND/35

Course type Laurea Magistrale

Credits 12.0

Owner professor Angelo CORALLO

Teaching hours Ore totali di attività frontale: 108.0

  Ore erogate dal docente MARIA ELENA LATINO: 27.0

For matriculated on 2021/2022

Year taught 2021/2022

Course year 1

Semestre Secondo Semestre (dal 01/03/2022 al 10/06/2022)

Language INGLESE

Subject matter Percorso comune (999)

Location Lecce

No Prerequisite

The course is designed to provide a perspective lens to review and/or design the entire Enterprise' architecture according to the concept of business model, that is the key element to connect the strategy with the company organization structure and processes.

The proposed model, inspired by the emerging interdisciplinary approaches in business schools, considers the issue of value creation in organizations as the main focus of interest. Each of the company's dimensions - strategic, organisational, technological and process based - is analysed both with regard to the specific models and tools that allow detailed planning and through an holistic interconnection logic that uses the Business Model as an approach to representation.

The course aims to provide an integrative approach to the analysis of the company macro and micro environment, in order to the understand the key factors of competitive advantage, the strategic components, the models and tools for operations.

Follows the Educational Objectives of the course:

Knowledge and understanding. The student must have a solid background with a broad spectrum of basic knowledge related to the understanding and optimization of business processes according to an integrated approach to business management. In particular, the student must:

  • have the basic cognitive tools to think analytically, creatively, critically and have the ability to abstract and solve problems within complex systems;
  • have a thorough knowledge of the concept of the business model and of the key variables for the definition of the strategy and for the management of the business;
  • have a solid knowledge of the existing networks and the network logic on which the collaboration relationships between companies;
  • know how to analyse the theoretical and practical foundations of Business Process Management in order to understand the functioning of companies in terms of tasks, events, organizational roles and decision-making;
  • have a critical and detailed knowledge of the theoretical foundations, methodologies and techniques for the design of organisational structures and mechanisms;
  • have a good knowledge of new Information and Communication Technologies in order to enable the digitisation of businesses;
  • possess the fundamental conceptual tools for the definition of an enterprise architecture to harmonize business processes, business strategies and technological solutions.

Applying knowledge and understanding. The student must demonstrate the ability to apply, independently and critically, the knowledge acquired during the training course. In particular, after the course the student should be able to:

  • identify and appropriately use the principles and tools of the business model to design business development and management strategies;
  • recognize, analyze and solve an organizational problem;
  • identify and apply methodologies, languages and modeling tools for the analysis of business processes;
  • describe and use the main technologies and platforms information technology as well as the main applications and architectures for big data, data security and design of new products;
  • manage information, processes and resources to support the life cycle of products and services in complex business environments.

Making judgements. Students are guided to learn and critically apply the models and methods of analysis acquired during the course identifying – with a high degree of autonomy and in a logic of integration – strategic, organizational and technological solutions for the creation of value and optimization of business processes.

Students must therefore be able to operate in their own disciplinary and operational fields and manage complexity by collecting, processing and interpreting data, procedures and theories in a perspective of problem solving.

Communication. Students must demonstrate that they have acquired the necessary skills to:

  • guarantee an effective and correct oral and written communication of the acquired knowledge, taking into account the level of cultural preparation of the interlocutors;
  • organise the dissemination material and the communication of the research results using the scientific knowledge and the methodological tools learned.
  • organise dissemination material and the communication of research results using the scientific knowledge and methodological tools learnt.

Learning skill. Students must acquire the critical ability to relate, with originality and autonomy, to deepen and develop autonomously in the professional field the knowledge and skills gained in relation to business processes, business model and technological solutions to be adopted. Students must be able to update his knowledge and methods of investigation through opportunities for comparison and learning in their field of competence with a view to continuing their studies at a higher level (PhD) or in the broader perspective of cultural and professional self-updating of lifelong learning. Therefore, students must be able to switch to different forms of presentation from the original texts, in order to memorize, summarize for themselves and others, to disseminate scientific knowledge.

The training programme privileges transdisciplinarity and complementarity between didactic modules. Specifically, the course consists of:

  • frontal lessons, aimed at the exchange of knowledge and the development of a critical conscience within the disciplines studied through the transmission of concepts, models and interpretative schemes.
  • exercises, aimed at promoting the understanding of theories and models as well as facilitating the use of technologies and operational tools analysed in the classroom.
  • analysis of case studies, aimed at verifying what has been learned at a theoretical level through the frontal lessons.
  • team work, aimed at strengthening cognitive and operational learning by applying the logic of the Business Model and the theoretical notions acquired with frontal teaching. Team work is implemented in parallel with the training modules and discussed publicly at the end of the course to stimulate the comparison of competences and communication skills.

In order to promote an interactive learning experience and circular communication, students are invited to participate in the lesson with independent judgment, starting the debate in the classroom and presenting real cases.

The exam is written. In addition, provision may be made for an oral examination to supplement the written examination. The presentation of the Project work carried out during the course is part of the verification of the acquired competences. During the exam the student is asked to argue theories, models and methodologies that are the subject of the study program to verify the level of knowledge and understanding of the topics covered as well as the degree of skills acquired. The student may be asked to do exercises and illustrate real cases related to the proposed question.

The course consists of four parts. Each section is divided into specific training modules.

PART A – Business and Innovation Strategy (27 hours): Foundation of Strategy; Business Model;

PART B – Organisational Analysis (27 hours): Network Analysis and Modelling; Organisational Theories and Structures;

PART C – Business Process Management (27 hours): Enterprice Architecture, Business Process Management Lifecycle; Business Process Mining; Process Modelling Standards;

PART D – Information and Communication Technologies (27 hours): taxonomy of business technologies; instruments for digitisation of business activities; Product Lifecycle Management; new technological trends.

[1] Alexander Osterwalder A., Pigneur Y., Business Model Generation: A Handbook for Visionaries, Game Changers, and Challengers, Wiley, Hoboken, 2010.

[2] Creswell J.W., Research Design, SAGE Publications.

[3] Bryman A., Bell E., Business Research Methods, Oxford Press.

[4] Powel W.W., Neither Market nor Hierarchy: networks forms of organizations, Research in Organizational Behaviour, vol 12, 1990.

[5] Mintzberg H., The Structuring of Organizations, Prentice-Hall, Englewood Cliffs, 1979

[6] Allee V., A value network approach for modeling and measuring intangibles, White Paper, 2002

[7] Zachman J. A., “A framework for information systems architecture”, IBM Systems Journal, Volume 26, Issue 3, 1987.

[8] Sowa J. F., Zachman J. A. (1992) “Extending and formalizing the framework for information systems architecture”, IBM Systems Journal, Volume 31, Issue 3, 1992.

[9] Learning material provided by the professor.

BUSINESS INTEGRATED MANAGEMENT (ING-IND/35)

Pubblicazioni

PUBLICATIONS IN JOURNALS

  • Corallo, A., Latino, M. E., Menegoli, M., & Pizzi, R. (2021). Assuring Effectiveness in Consumer-Oriented Traceability; Suggestions for Food Label Design. Agronomy, 11(4), 613.
  • Corallo, A., Filieri, F., Latino, M. E., Menegoli, M., & Sarcinella, M. (2021). An Internet Platform to Monitor Plant Pathogens Spread: The Italian Case of Xylella. Journal of Communications, 16(6).
  • Corallo, A., Latino M.E., Menegoli M., & Pontrandolfo, P. (2020) A systematic literature review to explore traceability and lifecycle relationship, International Journal of Production Research, DOI: 10.1080/00207543.2020.1771455. Indexed by Scopus (Q1) and ISI (Q1).
  • Corallo, A., Latino, M. E., Menegoli, M., & Striani, F. (2020). The Awareness Assessment of the Italian Agri-Food Industry Regarding Food Traceability Systems. Trends in Food Science and Technology. Indexed by Scopus (Q1) and ISI (Q1).
  • Corallo, A., Latino, M. E., Menegoli, M., & Striani, F. (2020). What factors impact on technological traceability systems diffusion in the agrifood industry? An Italian survey. Journal of Rural Studies, 75, 30-47. Indexed by Scopus (Q1) and ISI (Q1).
  • Corallo, A., Latino, M. E., Menegoli, M., & Cataldo, M. (2020). Business process modeling in aquaculture for environmental sustainability and fish traceability: A case study in Italian region. Knowledge and Process Management. https://doi.org/10.1002/kpm.1634. Indexed by Scopus (Q2) and ISI.
  • Latino, M. E., Menegoli, M., & Corallo, A. (2019). Food label design–exploring the literature. British Food Journal. Indexed by Scopus (Q2) and ISI (Q3).
  • Corallo, A., Latino, M. E., Menegoli, M., & Spennato, A. (2019). A Survey to Discover Current Food Choice Behaviors. Sustainability, 11(18), 5041. Indexed by Scopus (Q2) and ISI (Q2).
  • Corallo, A., Errico, F., Latino, M. E., & Menegoli, M. (2019). Dynamic business models: a proposed framework to overcome the death valley. Journal of the Knowledge Economy, 10(3), 1248-1271. Indexed by Scopus (Q2) and ISI.
  • Corallo, A., Latino, M. E., Menegoli, M., De Devitiis, B., & Viscecchia, R. (2019). Human Factor in Food Label Design to Support Consumer Healthcare and Safety: A Systematic Literature Review. Sustainability, 11(15), 4019. Indexed by Scopus (Q2) and ISI (Q2).
  • Corallo, A., Latino, M., & Menegoli, M. (2018). From Industry 4.0 to Agriculture 4.0: A Framework to Manage Product Data in Agri-Food Supply Chain for Voluntary Traceability. World Academy Of Science, Engineering And Technology International Journal Of Nutrition And Food Engineering, 12(5), 132-136. Retrieved from https://waset.org/publications/10008961/from-industry-4.0-to-agriculture-4.0-a-framework-to-manage-product-data-in-agri-food-supply-chain-for-voluntary-traceability.
  • Latino M. E., Corallo A., Capone I., Martino D., Trifoglio A. (2016). Lesson Learned and Best Practice Management: A Tool to Support the Enterprise. Knowledge and Process Management. Indexed by Scopus (Q2) and ISI.
  • Corallo, A., Latino, M. E., & Neglia, G. (2013). Methodology for User-Centered Innovation in Industrial Living Lab. ISRN Industrial Engineering, 2013.
  • Corallo, A., Latino, M.E., Lazoi, M., Lettera, S., Marra, M., Verardi, (2013). Defining product lifecycle management: A journey across features, definitions, and concepts. ISRN Industrial Engineering, 201.

BOOK CHAPTERS

  • Scarafile, G., Latino, M.E.. The Ethics of Communication and the Terra Terra Project. Controversies. Chapter 8 in Science and Democracy (145-164). John Benjamins Publishing Company. (2018).
  • Calisi, A., Latino, M.E., Corallo, A., Grimaldi, A., Ferronato, C., Vittori Antisari, L., Dondero, F. (2018). Biomarkers in soil organisms: their advantages and limitations in the assessment of soil pollution and remediation. Chapter of Book. Bioremediation of Agricultural Soils. CRC Press, Taylor & Francis Group. Forthcoming.
  • Corallo, A., Errico, F., Fortunato, L., Latino, M. E., & Menegoli, M. (2017). University–Industry Interface: Open and Dynamic Business Models to Reduce Spin-Offs’ Risk of Failure. In Global Opportunities for Entrepreneurial Growth: Coopetition and Knowledge Dynamics within and across Firms (pp. 295-335). Emerald Publishing Limited.

PUBLICATIONS IN CONFERENCE PROCEEDING 

  • Corallo, A., Latino, M.E., Menegoli, M. (2020, February). Agriculture 4.0: how use traceability data to tell food product to the consumers. In 2020 9th International conferences on Industrial Technology and Management (ICITM 2020). IEEE.
  • Corallo, A., Latino, M. E., Pizzi, R., Spennato, A., Fortunato, L., & Menegoli, M. (2019, September). Human Factor in Smart Labelling: How Enhance Food Awareness in Consumers. In 2019 6th International Conference on Frontiers of Industrial Engineering (ICFIE) (pp. 89-93). IEEE.
  • Corallo, A., Latino, M.E., Menegoli, M., Nuzzo, B.. (2019, July). A process-based approach to collect food information to satisfy consumer needs through a volountary traceability information system, an organic olive oil case study. In 2019 The 13th International Multi-Conference on Society, Cybernetics and Informatics (IMSCI 2019), Proceedings 1, pp. 13-18.
  • Corallo, A., Latino, M.E., Menegoli, M., Cataldo, M., Mancarella L.. (2019, January). Application of technological system based on process modelling and analysis: a case study in Italian aquaculture company. In 2019 3rd International Conference on Manufacturing Technologies (ICMT 2019). Forthcoming.
  • Corallo, A., Latino, M. E., & Menegoli, M. (2019, March). A Business Process Modelling Approach for Supporting Traceability in Food Industry. In 2019 8th International Conference on Industrial Technology and Management (ICITM)(pp. 265-269). IEEE.
  • Corallo, A., Paiano, R., Guido, A. L., Pandurino, A., Latino, M. E., & Menegoli, M. (2018, June). Intelligent monitoring Internet of Things based system for agri-food value chain traceability and transparency: A framework proposed. In 2018 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS). IEEE.
  • Latino M.E., Corallo A., Menegoli, M. Agri-Food Transparency and Traceability: a marketing tool to satisfy consumer awareness needs. 2018 20th International Conference on Food and Environment (ICFE 2018). 3 – 4 May 2018. Rome, Italy.
  • Latino, M. E., Fortunato, L., Menegoli, M., Scarafile, G., Errico, F., & Corallo, A. (2018, March). Ethical design in ICT application: how satisfy food citizenship needs. In Proceedings of the 2nd International Conference on High Performance Compilation, Computing and Communications (pp. 73-77). ACM.
  • Corallo, A., Errico, F., Latino, M. E., & Menegoli, M. (2018, March). A framework proposed in order to assuring the entrepreneurial ecosystem sustainability through a dynamic model of governance. 7th International Conference on Industrial Technology and Management (ICITM), 2018 (pp. 421-426). IEEE.
  • Corallo, A., Errico, F., Latino, M. E., Menegoli, M., Calabrese, F., Cataldo, M., & Zizzari, A. A. (2018, March). Advanced system for sustainable aquaculture plant management. In Industrial Technology and Management (ICITM), 2018 7th International Conference on (pp. 162-166). IEEE.
  • Corallo, A., Errico, F., Fortunato, L., Latino, M. E., & Menegoli, M. (2017, March). An integrated path for supporting spin-off creation: Desirable features of University-Industry interface in the Triple Helix Model. In 2017 6th International Conference on Industrial Technology and Management (ICITM) (pp. 159-163). IEEE.
  • Alemanni, M., Corallo, A., Latino, M.E., Valfrè, E. (2012). MBSE Feasibility Study to improve PLM Business Solution System Specification and Design”, INCOSE International Symposium. Vol. 22. No. 1. 2012.

PUBLICATIONS IN CONFERENCES

  • M.E. Latino, M. Menegoli, A. Corallo. “A Model for Customer Segmentation Based on the Food Choice Behaviours: an Italian Survey”. “International Conference on Happiness and Wellbeing: Future Directions for Healthy Living (ICHW 2019)”. 16 and 17 May 2019. Foggia, Italy.
  • M.E. Latino, M. Menegoli, A. Corallo, A.A. Zizzari and M. Cataldo. Technology system for aquaculture sustainability and fish traceability, World Engineering Forum (WEF 2017), 26 November - 02 December 2017 - Sheraton Roma Hotel - Rome, Italy. Also published in December 2017 on a Special Issue of the magazine “L'Ingegnere Italiano”.
  • Scarafile G., Latino M. E. (2016). Communication, science, democracy. The case of the TerraTerra Project. International conference SCIENCE AND DEMOCRACY Controversies and conflicts. 26-28 October 2016, Pisa.
  • Corallo A., Errico F., Latino M. E., Menegoli M. (2016). Assuring the entrepreneurial ecosystem sustainability through a dynamic model of governance: a framework proposed. Presentation in Conference on the Governance of the Entrepreneurial Ecosystem related to Small Business Economics - An Entrepreneurial Journal Special Issue “The Governance of Entrepreneurial Ecosystems”. (29 september 2016, Catania).
  • Bonarelli R., Bressani G., Cataldo M., Coppini G., Corallo A., Laterza F., Latino M. E., Marguglio A., Morreale V., Notarangelo M., Zizzari A. A. and Zonno V., (2016). The SEA (Security for marine Environment and Aquaculture) project: Advanced production and processing, food security and sustainable aquaculture. Offshore Mariculture Conference Europe 2016, 6th-8th April 2016, World Trade Centre, Barcelona, Spain.
  • Bonarelli R., Bressani G., Cataldo M., Coppini G., Corallo A., Laterza F., Latino M. E., Marguglio A., Morreale V., Notarangelo M., Zizzari A. A. and Zonno V., (2016). Il progetto S.E.A. (Security for marine Environment and Aquaculture): monitoraggio e sostenibilità per l’acquacoltura in mare. Iniziative di diffusione delle conoscenze scientifiche e occasioni di confronto sulle ricadute applicative dei risultati della ricerca in pesca e acquacoltura, 25-26 Febbraio 2016, Hilton Garden Inn, Lecce.

Temi di ricerca

  • Food traceability
  • Consumer behaviour
  • Food choice
  • Traceability Systems
  • Agriculture 4.0
  • Industry 4.0
  • Smart Label Design 
  • Acquaculture
  • Business Model
  • Business Process