Purpose- Within the Enterprise contexts, one of the most important aspects is the realization of intelligent services (inspired by the paradigm Service-Dominant Logic, SDL), which obey the wishes and constraints of final users. To achieve this aim in an efficient way, various efforts are considered, from technological, economical and modeling points of view. The aim of the paper is combining the SDL theory, the Personal Time Management (PTM) technique “Getting Things Done” (GTD) and the IBM Smarter Cities model to create a valuable co-operation among all the entities involved by using Information Technology (IT) tools, such as DSS. Design/Methodology/Approach- In order to obtain high synergies in social, industrial and personal aspects, the authors propose a service-based framework for Personal/Business Time Management (PBTM), designed according to SDL. The framework foresees the activation, coordination and integration of more isolated services, involving either the Enterprise or its employees, hence creating a mechanism of co-creation of value in order to fulfil its goal. In particular, a such approach, beside services based on classical clustering/scheduling/optimization algorithms (e.g. CPM) and coming from business systems, integrates profiling services (hobbies, age, points of interest) due to personal or business devices, and services offered by Smart City (information on traffic, viability). Findings- The artifacts of this work concern, from one side, the realization of a Smart Personal Agenda, based on the integration of existing clustering, scheduling and optimization algorithms and improved by collected information on user profiles. On the other, the definition of a scalable and reusable service-based framework, which integrate the proposed Personal Model-driven DSS in the IBM Smarter City technological model via Group DSS consisting of shared Personal DSS of individuals who belong to the same organization. Research limitations/implications (if applicable)- This paper implies several limitations, which can be mainly synthetized in: analyzing massive volume of data (known as big data analysis) and privacy. Practical implications (if applicable)- The paper implements a service-based virtuous circle that leads to more than a few practical implications for personal, organizational and city purposes. Some examples of the main achieved benefits are personal and organizational time optimization via Model-driven DSS or individual aggregated agendas data feeding Smarter City System or customized services provided by the City to entities that are part of it. Originality/value- The DSS represents a starting point to realize intelligent prototypes, able to manage the personal agenda applying principles of GTD and optimizing transfers and free time, readapting conveniently some tasks if necessary. Moreover, it also represents a new extremely valuable source capable of feeding Smarter City System with anticipated data, in order to set a win-win cooperation among all the entities involved.

A SERVICE-BASED FRAMEWORK FOR PERSONAL TIME MANAGEMENT IN SMART CITIES

d'aniello, giuseppe;GAETA, Matteo;PICIOCCHI, Paolo;RARITA', LUIGI;TOMASIELLO, Stefania
2015

Abstract

Purpose- Within the Enterprise contexts, one of the most important aspects is the realization of intelligent services (inspired by the paradigm Service-Dominant Logic, SDL), which obey the wishes and constraints of final users. To achieve this aim in an efficient way, various efforts are considered, from technological, economical and modeling points of view. The aim of the paper is combining the SDL theory, the Personal Time Management (PTM) technique “Getting Things Done” (GTD) and the IBM Smarter Cities model to create a valuable co-operation among all the entities involved by using Information Technology (IT) tools, such as DSS. Design/Methodology/Approach- In order to obtain high synergies in social, industrial and personal aspects, the authors propose a service-based framework for Personal/Business Time Management (PBTM), designed according to SDL. The framework foresees the activation, coordination and integration of more isolated services, involving either the Enterprise or its employees, hence creating a mechanism of co-creation of value in order to fulfil its goal. In particular, a such approach, beside services based on classical clustering/scheduling/optimization algorithms (e.g. CPM) and coming from business systems, integrates profiling services (hobbies, age, points of interest) due to personal or business devices, and services offered by Smart City (information on traffic, viability). Findings- The artifacts of this work concern, from one side, the realization of a Smart Personal Agenda, based on the integration of existing clustering, scheduling and optimization algorithms and improved by collected information on user profiles. On the other, the definition of a scalable and reusable service-based framework, which integrate the proposed Personal Model-driven DSS in the IBM Smarter City technological model via Group DSS consisting of shared Personal DSS of individuals who belong to the same organization. Research limitations/implications (if applicable)- This paper implies several limitations, which can be mainly synthetized in: analyzing massive volume of data (known as big data analysis) and privacy. Practical implications (if applicable)- The paper implements a service-based virtuous circle that leads to more than a few practical implications for personal, organizational and city purposes. Some examples of the main achieved benefits are personal and organizational time optimization via Model-driven DSS or individual aggregated agendas data feeding Smarter City System or customized services provided by the City to entities that are part of it. Originality/value- The DSS represents a starting point to realize intelligent prototypes, able to manage the personal agenda applying principles of GTD and optimizing transfers and free time, readapting conveniently some tasks if necessary. Moreover, it also represents a new extremely valuable source capable of feeding Smarter City System with anticipated data, in order to set a win-win cooperation among all the entities involved.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4651502
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