From E-Government to Digital Transformation: Leadership

2021 ◽  
pp. 147-155
Author(s):  
Miguel Cuya ◽  
Sussy Bayona-Oré
Author(s):  
Dina Ziadlou

The digital transformation has revolutionized the contexts of healthcare organizations in all aspects, and those hospitals that tend to create a smart digital environment are require to perceive vital factors of digital transformation. The author has created a framework called “House of Success” Model to elaborate on the significant organizational factors contributing to developing a smart healthcare organization in the digital era. This model consists of digital transformation, as the foundation of the house; quadruple aims, as the roof of the house and the ultimate goal of the transformation; and leadership and management, as the pillars of the house. Moreover, the house of success model has four rooms including change management and change leadership, people leadership, digital technology leadership, and the global partnership that resulted in building up a prosperous digital transformation outlook toward sustainable effectiveness development.


2018 ◽  
Vol 23 (09) ◽  
pp. 25-25
Author(s):  
Sabine Schützmann

Am 17. und 18. Oktober findet im Hasso-Plattner-Institut (HPI) in Potsdam zum zweiten Mal die HIMSS Impact statt: Ein englischsprachiges Symposium, welches aktuelle Trends im Gesundheitswesen, digitale Strategien und jüngste Forschungserkenntnisse beleuchtet.


2020 ◽  
pp. 37-55 ◽  
Author(s):  
A. E. Shastitko ◽  
O. A. Markova

Digital transformation has led to changes in business models of traditional players in the existing markets. What is more, new entrants and new markets appeared, in particular platforms and multisided markets. The emergence and rapid development of platforms are caused primarily by the existence of so called indirect network externalities. Regarding to this, a question arises of whether the existing instruments of competition law enforcement and market analysis are still relevant when analyzing markets with digital platforms? This paper aims at discussing advantages and disadvantages of using various tools to define markets with platforms. In particular, we define the features of the SSNIP test when being applyed to markets with platforms. Furthermore, we analyze adjustment in tests for platform market definition in terms of possible type I and type II errors. All in all, it turns out that to reduce the likelihood of type I and type II errors while applying market definition technique to markets with platforms one should consider the type of platform analyzed: transaction platforms without pass-through and non-transaction matching platforms should be tackled as players in a multisided market, whereas non-transaction platforms should be analyzed as players in several interrelated markets. However, if the platform is allowed to adjust prices, there emerges additional challenge that the regulator and companies may manipulate the results of SSNIP test by applying different models of competition.


Author(s):  
A.A. Yuryeva ◽  
◽  
A.A. Stepanov ◽  
I. Pshekhotska ◽  
Ya. Sobon' ◽  
...  

Монография посвящена исследованию проблемы современных императивов реализации инновационной политики в условиях цифровизации как установки на эффективное управление и активизацию инновационного поведения и деятельности. Особое внимание уделено организационно-управленческим, гуманистическим, культурно-историческим, профессионально-кадровым и иным императивам, формирующим потенциальные возможности, открывающие новые перспективы эффективного инновационного развития на основе перехода к новой модели построения и функционирования организации. Императивы нацелены на освоение приемов стандартов взаимодействия субъектов-участников в процессе реализации инновационной политики, которые позволяют эффективно и организованно справляться с возникающими проблемами. Монография рассчитана на профессорско-преподавательский состав университетов, других высших учебных заведений, докторантов, аспирантов, магистрантов, студентов, изучающих проблемы управления реализацией инновационной политики в цифровой экономике.


2017 ◽  
Vol 19 (1) ◽  
pp. 23
Author(s):  
Ahmad Gunawan

Transformation Leadership, Motivation and Satisfiction are the three factors of a few relatively large factors suspected to influence Performance on the PT. Adya Tours. These research aimed to determine the effect of Transformation Leadership, Motivation and Satisfiction toward Performance on the PT. Adya Tours.Research conducted at the PT. Adya Tours by taking 71 employees as the research sample, calculated using the Slovin formula of the total population of 240 employees  at  the  margin  of  error  of  10%.  Data  were collected by questionnaire instruments covered by the five rating scale from strongly disagree to strongly agree. Quantitative research was conducted by describing and analyzing research data. The multiple linier regression analysis and multiple determination coeficient are the statistic approach to data analysis.The study produced four major findings consistent with the hypothesis put forward, that are: 1) Transformation Leadership has a significant effect on Performance  in  a  positive  direction;  2)  Motivation  has  a  significant  effect  on Performance in a positive direction; 3) Satisfiction has a significant effect on Performance in a positive direction; 4) Transformation Leadership, Motivation and Satisfiction simultaneously influence 92.70% Performance variability.Base on the research finding, in order to increase Performance can be done by increasing Transformation Leadership, Motivation and Satisfiction. Kata kunci:Transformation Leadership, Motivation, Satisfaction, Performance


Author(s):  
Tamara Green

Much of the literature, policies, programs, and investment has been made on mental health, case management, and suicide prevention of veterans. The Australian “veteran community is facing a suicide epidemic for the reasons that are extremely complex and beyond the scope of those currently dealing with them.” (Menz, D: 2019). Only limited work has considered the digital transformation of loosely and manual-based historical records and no enablement of Artificial Intelligence (A.I) and machine learning to suicide risk prediction and control for serving military members and veterans to date. This paper presents issues and challenges in suicide prevention and management of veterans, from the standing of policymakers to stakeholders, campaigners of veteran suicide prevention, science and big data, and an opportunity for the digital transformation of case management.


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