No abstract

Rapid growth of online shopping activities in recent years has required careful identifications of key factors influencing consumers’ behaviors and attitudes toward online shopping. Identifying critical factors influencing online consumer behavior is very crucial for effective customer relationship management. It is very important that online sellers clearly understand critical factors influencing online customers’ shopping intention and take necessary actions accordingly. If identified and managed properly, those critical factors can provide competitive advantage to online sellers and also increase consumers’ satisfaction level and experiences with sellers’ website. This research investigated the attitudes toward online shopping of university students in Ankara, Turkey. Internet users’ interest, evaluation, trust, intention and concerns toward online shopping were assessed by conducting survey type research. Internet users’ concerns toward online shopping were assessed by considering financial issues, product quality issues, refund issues, product delivery issues, security issues and privacy issues. Findings of this study guide online retailers which factors to focus on in order to develop successful marketing strategies for online consumers.

The objective of this study was to investigate physicians’ perceptions to use mobile health applications in practice, and to identify influencing factors to use the technology. An mHealth technology acceptance model was proposed (M-TAM), and a cross-sectional survey was implemented using structured questionnaire to collect data. Online tools were used for inviting participants (physicians) and data collection from Turkey. The data was analyzed using Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM). A total of 128 physicians participated in the survey. The model explained the perception of physicians towards mHealth application use by 51% of total variance. The influential factors were identified as Effort Expectancy, Mobile Anxiety, Perceived Service Availability and Technical Training and Support. The study provided a new model to the literature of health information technology. Findings of the research contributed by unveiling latent constructs and their influence on physicians’ perceptions towards a new healthcare technology: mHealth applications.

Consumer behavior in e-commerce platforms is one of the extensively researched area. Numerous studies in this field assessed consumer online shopping behavior from various aspects. However, literature review showed that most of the conducted studies do not carry out market segmentation analysis while accessing shopping behavior of online consumers. Therefore, the general conclusions made by these studies about consumer attitude, behavior, and decision-making process might not reflect actual behaviors of different consumer segments. In contrast to previous studies, this study initially carried out psychographic market segmentation analysis and found four different online consumer segments. Later, shopping behavior of each determined segment was assessed by using the developed behavior evaluation model. Findings of this study provide important information to e-retailers about the behavioral characteristics of each consumer segment. E-retailers can utilize this study findings to effectively allocate their marketing resources and design more successful marketing mix for each consumer segment.

This paper presented a literature review research about health professionals' acceptance of HIS and m-Health based on a systematic review procedure. The results were derived from 31 scholar studies of which consisted of 27 HIS studies and 4 m-Health studies. It was aimed to provide insight about acceptance theories and constructs being employed to assess current health information systems and their implementation on mobile platform. Results presented the relevance and contradictions in theories in comparison to HIS and m-Health domains. It is believed that this study can bring new measures in determining influencing factors of m-Health technology users, which can lead the researchers to develop effective models, and so, to assist the developers to improve applications of HIS in the mobile platform.