Technology is an unavoidable fact of today's life. Attractive advantages of wireless technology accelerated the rapid development of mobile applications. With the increase of the usage of mobile devices in the recent years, new solutions come to mind including mobile technologies to fulfill requirements or suggest better solutions in the vast area of medical informatics to the existing ones. Augmentation in the area of wireless technology positively affects the medical applications. In the healthcare industry, mobile applications provide better personalized health care, disease management and services to patients and their relatives, as well as a better and flexible way of communicating with physicians, patients and medical suppliers. It is obvious that the applications using mobile technologies has the potential to bring better conditions both for the patients for their disease management and for the humanity for checking their self wellness. In this paper, the current mobile technology utilized in healthcare such as relapse prevention in schizophrenia, aged people's care and wellness, diagnosis and management of attentiondeficit etc. is reviewed in detail outlining the current mobile technologies and wireless revolution of today and examining some of the outstanding applications using these technologies in the clinical area. The results of this study can provide clues to researchers to further the mobile technology in healthcare.
The purpose of this paper is to propose a combined data mining approach for analyzing and profiling customers in video on demand (VoD) services. The proposed approach integrates clustering and association rule mining. For customer segmentation, the LRFMP model is employed alongside the k-means and Apriori algorithms to generate association rules between the identified customer groups and content genres. The applicability of the proposed approach is demonstrated on real-world data obtained from an Internet protocol television (IPTV) operator. In this way, four main customer groups are identified: ''high consuming-valuable subscribers'','' less consuming subscribers'','' less consuming-loyal subscribers'' and ''disloyal subscribers''. In detail, for each group of customers, a different marketing strategy or action is proposed, mainly campaigns, special-day promotions, discounted materials, offering favorite content, etc. Further, genres preferred by these customer segments are extracted using the Apriori algorithm. The results obtained from this case study also show that the proposed approach provides an efficient tool to form different customer segments with specific content rental characteristics, and to generate useful association rules for these distinct groups. The proposed combined approach in this research would be beneficial for IPTV service providers to implement effective CRM and customer-based marketing strategies.
Purpose
In general, software development work environments involve many different tasks and have high demands on efficiency and quality of performance at both individual and team levels, which depend on the competencies of employees. However, the literature does not provide satisfactory evidence as for the characteristics and competencies of individuals. Especially, the employers’ expectations of new graduates have not been investigated in detail for different work environments. The purpose of this paper is to examine employers’ expectancies regarding technical, personal and educational competencies among IT-graduated employees to provide a comparison between individual and team work settings.
Design/methodology/approach
A survey approach was used for this purpose, and the research model was tested using multiple regression.
Findings
The results revealed that significant diversity exists in individual and team work settings regarding employers’ expectations for new graduates’ competencies in terms of adapting to new software development methods and approaches, using time effectively and experience gained in undergraduate projects.
Originality/value
The results of this study will yield insight to computer-related departments in curriculum development by providing a comparison between the varying competencies required in individual and team work settings from the employer’s perspective. In the long run, the aim is to meet employers’ demands of the new graduates’ competencies, resulting in better individual and team performances in information technology companies, thereby leading to successful software development.
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