Readiness to Adopt Data Mining Technologies: An Exploratory Study of Telecommunication Employees in Malaysia

Author(s):  
Noornina Dahlan ◽  
T. Ramayah ◽  
Looi Lai Mei
2017 ◽  
Vol 10 (4) ◽  
pp. 1
Author(s):  
Ahmed Kadhim Bareas ◽  
Ali Abdulhassan Abbas

The current study aims to discover the willingness of the leaderships in Karbala University to work by the servant leadership philosophy through the (226) employee points of view survey. Through a questionnaire (Dierendonck & Nuijten, 2011), it reached a group of conclusions; one of it was that there is a weakness in the readiness of Administrative Leaders to adopt servant leadership philosophy. The originality of this research is that the findings will help leaders in Karbala University to understand that they need to enhance their readiness to adopt servant leadership so that they can help their followers do their job effectively and efficiently.


2020 ◽  
Vol 214 ◽  
pp. 01014
Author(s):  
Zhao Yingju

For the fixed tourist routes in the scenic spot, the longer the journey is, the slower the speed is, and the easier the congestion is. This study is an exploratory study. In this paper, Yudaokou grassland forest scenic area, a nature reserve crossed by national No.1 scenic road, is selected as the research object. Based on the point- axis gradual diffusion theory, the mobile app is used to record the travel process of tourists on the same tourist route in the same scenic area, so as to calculate the travel speed of tourists on different road sections, and then predict the future congestion of the scenic area, the smaller the speed, the greater the probability of congestion; the greater the speed, the less time, the smaller the probability of congestion. Finally, the paper discusses the significance and theoretical contribution of the study on the two aspects of tourists’ moving behavior and moving mode in scenic spots.


Author(s):  
Frederick Edem Broni Jr. ◽  
Acheampong Owusu

Blockchain technology is an emerging innovation, and it is viewed as a better approach to help the necessities of people and institutions in terms of record management. Using the Delphi technique and the PERM model, this chapter seeks to present the perspectives of experts in the field of blockchain on the readiness of the institutions in developing economies to adopt and implement it. The findings suggest that the understanding of the technology, knowledge on how to use it, availability of skilled personnel, availability of technical components, risk, capital, management support, business process, policies and regulations, and government initiatives on technology are key influencing factors assessing the readiness to adopt blockchain in a developing economy. It is expected that these findings will enlighten practitioners on the prospects of the application of blockchain in all sectors. The originality of this study lies in the fact that it is a maiden exploratory study that examines the factors that influence the readiness to adopt and implement blockchain technology in a developing economy.


2015 ◽  
Vol 9 (1) ◽  
pp. 30 ◽  
Author(s):  
María Messina ◽  
Esther Hochsztain

<p>El Centro de Emprendedurismo CCEEmprende de- sarrolla, desde 2007, un programa de apoyo a emprende- dores. Para mejorar su gestión, resulta de gran importancia analizar, en forma preliminar, los emprendimientos en una de dos categorías: éxito o fracaso. En este artículo se identifican los principales factores asociados al éxito de un emprendimiento y cómo se vincu- lan para anticipar el futuro del emprendimiento. Se presenta un caso de estudio con base en los datos de una encuesta realizada a emprendedores participantes del programa, aplicando técnicas de clasificación. Las dos técnicas utilizadas de data mining son árbol de decisión y regresión logística, en ambas se obtuvieron resultados coincidentes. Los hallazgos muestran que los dos elementos más relevantes para anticipar el éxito de un emprendimiento son contar con financiamiento y que, anteriormente, la situa- ción laboral del emprendedor sea trabajador independiente. Estos primeros resultados obtenidos en el estudio de caso revelan información útil acerca de las mejores formas de apoyo al emprendedor, cómo generar incentivos al em- prendedor y la definición de herramientas o actividades que incidan favorablemente en el éxito de los emprendimientos. Si bien desde la teoría o para otras realidades existe infor- mación sobre los factores que colaboran en la determina- ción del éxito, para la realidad del Uruguay no se identifican estudios similares.</p><p> </p><p><strong>Abstract</strong> </p><p>Since 2007, the CCEE Entrepreneurship Centre has developed a supporting program for entrepreneurs. A preliminary analysis to determine if the venture was successful or a failure is made to improve the program’s management . In this article, the authors identify the main factors associated with entrepreneurship’s success, and how they can anticipate entrepreneurship’s performance. The case study is based on a survey data applied to the Entrepreneurship Program participants. The two data mining techniques are decision trees and logistic regression. The results were consistent across both tech- niques. The findings show that the two most important elements to predict entrepreneurship’s success are fun- ding and previous experience as self-employed. The results provided very useful insight about the best ways to support entrepreneurship, how to encoura- ge entrepreneurs, and define tools or activities to impact positively ventures success in Uruguay, since similar stu- dies have not been developed.</p>


Author(s):  
Ancelmo Castro ◽  
◽  
Leandro Garcia ◽  
David Prata ◽  
Marcelo Lisboa ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document