Characteristics of Electronic Integrated System and Trust in the Provider of Service

Abstract

Saudi Arabia has one of the world"s largest vehicle accident death rates. To overcome this, an electronic integrated system was initiated, which contains many components, including surveillance and penalizing systems; however, this system experienced what could be called an extreme system rejection in which some components were hacked, vandalized or even destroyed. To gain an understanding of this issue, the characteristics of the system were studied by modelling them using different theoretical perspectives. In addition, inferential statistics and a branch of data mining (sentiment analysis) were utilized to acquire a clearer insight into the causes. The results of this study include strategic and technological recommendations that could be of use for developers, researchers and decision makers for developing, studying or implementing similar systems.

Thai Commercial Banks on Twitter

“…Retweeting is forwarding a message to others, while replying is an interaction with a tweet sender. Favorite shows users' impression of a tweet (Abunadi, 2015;Boyd et al, 2010;Farina et al, 2014;Icha, 2015;Mosley, 2012;Mucan & Özeltürkay, 2014;Purohit et al, 2013;Rantanen et al, 2019;Weerawatnodom et al, 2017).…”

“…Another innovative feature of Twitter is the hashtag. A user can use a hashtag to track or write on a given topic by putting a # sign in front of the topic (Abunadi, 2015;Farina et al, 2014). The hashtag feature creates collaboration effectiveness that enables any user to write about a user-defined topic or event.…”

“…The hashtag feature creates collaboration effectiveness that enables any user to write about a user-defined topic or event. Anyone who views a hashtag is able to see others' views of the same hashtag (Abunadi, 2015;Icha, 2015;Purohit et al, 2013). Thus, messages can be grouped by topics using hashtags (Mosley, 2012;Purohit et al, 2013).…”

Smart Financial Management System Based on Data Ming and Man-Machine Management

“…At present, relatively mature data mining tools can be roughly divided into two types, one is similar to SPSS, SAS, LBS Capital Management, and other Management software, and the other is the use of relatively popular new technologies, such as decision tree algorithm, genetic algorithm, artificial neural network, expert system technology, and other tools, such as Neural network Browser, CBR, Fidelity Stock Selector, SPSS Clementine, and other tools [5,6]. Some researchers who have studied data mining for a long time have put forward influential mining algorithms, such as the concept tree promotion algorithm [7], classification algorithm [8], and association algorithm, attracted extensive attention of many researchers, and have been improved and derived on the basis of this algorithm [9,10]. In addition, the data mining technology has also caused the extensive concern of the authority of some well-known research institutions, the institutions involved in institutions of higher learning and independent research institutes.…”

Instrument development and contextualization for perceived characteristics of e-transactions

“…E-government can be defined as the automation of internal government processes using information systems (IS) and internet technologies with the aim of providing better government services to stakeholders (Venkatesh et al, 2016;Heeks, 2006). This study considers e-government transactions as the actions that are carried out between citizens and governments (Kim and Lee, 2012), aided by the internet, which provides a simple, direct, and significant point of contact (Abunadi, 2015).…”