دور الحكومة في عصر التحول الرقمي (The Role of Government in the Era of Digital Transformation)

2021 ◽  
Author(s):  
Mohammad Al-Suhaibani
2022 ◽  
pp. 34-85

This chapter presents an overview of smart technologies with description of using them in smart ways. It also explains the role of government flexibility as well as economic opportunity in developing smart cities. The direct and in direct impact of using smart technology on the life of citizens in a city are identified, covering the modalities as well as the enablers of such impacts. The chapter proceeds to examine the seven sectors essential of smart cities: healthcare, environment and public health, mobility and transport, energy, water, education, and security. For each sector, the significance of “smartness” is addressed with examples of how with digital transformation and usage of smart technologies citizens can greatly benefit. In general, this chapter acts as the main link between understanding smart technologies and sensors to actually employ them to enable smart living for citizens.


2021 ◽  
Vol 13 (3) ◽  
pp. 1028 ◽  
Author(s):  
Chun-Liang Chen ◽  
Yao-Chin Lin ◽  
Wei-Hung Chen ◽  
Cheng-Fu Chao ◽  
Henry Pandia

In the digital economy era, small service business struggle to compete in a rapidly changing and dynamic market. Therefore, through digital transformation (DT), small service business seek to increase their competitive advantage, improve business performance, and achieve business growth. Having limited resources and capabilities, small service business must deal with several barriers and challenges. This study aims to discover the barriers, and the roles of government, for digital transformation in small service business. This study applied a qualitative approach involving semi-structured in-depth interviews with top management of small service business. Then, we employed the content analysis method to examine interview data and construct a model. This research reveals four main barriers to digital transformation in small service business: lack of funding, lack of digital capability, lack of human resources, and technical barriers. We found there are four government roles for supporting digital transformation in small service business: build a digital platform for small service business, promote mobile/digital payment, provide digital training, and build a digital collaboration ecosystem. Additionally, based on this study’s findings, a model for barriers and government support of digital transformation in small service business is presented. This study contributes to the conceptual framework and management implications in the digital transformation field. The study’s findings provide insights to practitioners and suggest that the government could alter the current policies and programs to support digital transformation in small service business.


2007 ◽  
pp. 80-92
Author(s):  
A. Kireev

The paper studies the problem of raiders activity on the market for corporate control. This activity is considered as a product of coercive entrepreneurship evolution. Their similarities and sharp distinctions are shown. The article presents the classification of raiders activity, discribes its basic characteristics and tendencies, defines the role of government in the process of its transformation.


1990 ◽  
Author(s):  
Odin Knudsen ◽  
John Nash ◽  
James Bovard ◽  
Bruce Gardner ◽  
L. Alan Winters
Keyword(s):  

2020 ◽  
Vol 4 (3) ◽  
pp. 247
Author(s):  
Dwi Swasono Rachmad

<p><em>H</em><em>ousing is derived from the word house</em><em> which means</em><em> a place that has a place to live which will stay or stop in a certain time. Housing is a residence that has been grouped into a place that has facilities and infrastructure. The problem in this study focuses on the type of residential ownership in the form of SHM ART, SHM Non ART, NON SHM and others. </em><em>T</em><em>hese four types</em><em> can be used</em><em> to know the percentage of ownership in all provinces in Indonesia. Due to the fact that there is still a lot of information about the type of certificate ownership, there is still not much ownership. Therefore, the use of the k-Means algorithm as a data mining concept in the form of clusters, where the data already has parameters or values that fall into the category of unsupervised learning. That data produced the best. The data was obtained from published sources of the Republic of Indonesia government agency, namely the Central Statistics Agency data with the category of household processing with self-owned residential buildings purchased from developers or non-developers by province and type of ownership in 2016 throughout Indonesia. In conducting the dataset, researchers used the RapidMiner application as a clustering process application. This research </em><em>shows that</em><em> there are more types of ownership in the SHM ART, but for other values it is still smaller than the value in other types of ownership which is the second largest value. So</em><em>,</em><em> in this case, the role of government in providing assistance in the process of ownership in order to become SHM ART</em><em> is very important</em><em>.</em></p>


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