Factors Influencing Perceptions Toward Social Networking Websites in China

Based on an online national survey of 503 respondents, this study empirically investigates factors influencing perceptions toward social networking websites (SNWs) in China. More specifically, user demographics and media\ud characteristics were examined. While income was found to be a significant predictor of users’ attitude toward SNWs, gender, age, educational level and marital status were insignificant, suggesting that demographic divides may be\ud diminishing when it comes to online social media in China. Both perceived risk and enjoyment were found to have significant positive effects. Managerial implications were discussed

The factors driving online shopping in Saudi Arabia: Gender differences and behavior

Purpose—This study proposes a revised technology acceptance model that integrates expectation confirmation theory to measure gender differences with regard to continuance online shopping intentions in Saudi Arabia. Design/Methodology—The 465-respondent sample consists of 68.8% women and 31.4% men. A structural equation model confirms model fit. Findings—Perceived usefulness, enjoyment, and subjective norms are determinants of online shopping continuance in Saudi Arabia. Both male and female groups are equivalent. The structural weights are also largely equivalent, but the regression paths from perceived usefulness to subjective norms and to continuous intention are not invariant between men and women. Originality—This research moves beyond online shopping intentions and includes factors affecting online shopping continuance. The research model explains 65% of the intention to continue shopping online. Research Implications—This research suggests that online strategies cannot ignore either the direct and indirect gender differences on continuance intentions in Saudi Arabia. The model can be generalized across Saudi Arabia

Gender Differences in the Determinants of Sharing Information via Mobile Phones

The notion of sharing information has become a critical element in competitive advantage for mobile phone companies. The purpose of this particular research is to collate, compare and prioritize gender differences in the determinants of sharing information via mobile phones. The content analysis and the analytic hierarchy process methods were made use of to collect and examine relevant data. According to the findings of this research, the determinants of information sharing via mobile phones may be arranged into four fundamental categories. The categories, in order of significant, are: situational factors (including time pressures, convenience, and price discounts), the unique characteristics of mobile phone senders (including personality, emotion, and verbal capability), informational factors (including private information, important information and interesting information), and mobile phone receivers (including personality, emotion, and verbal capability). There is no singular gender difference in the first two factors (situational factors and mobile phone senders). The results gauge and assess the determinants of information sharing by the way of mobile phones

Driving online shopping: Spending and behavioral differences among women in Saudi Arabia

This study proposes a revised technology acceptance model that integrates expectation confirmation theory to measure gender differences with regard to continuance online shopping intentions in Saudi Arabia. The sample consists of 650 female respondents. A structural equation model confirms model fit. Perceived enjoyment, usefulness, and subjective norms are determinants of online shopping continuance in Saudi Arabia. High and low online spenders among women in Saudi Arabia are equivalent. The structural weights are also largely equivalent, but the regression paths from perceived site quality to perceived usefulness is not invariant between high and low e-shoppers in Saudi Arabia. This research moves beyond online shopping intentions and includes factors affecting online shopping continuance. The research model explains 60% of the female respondents’ intention to continue shopping online. Online strategies cannot ignore either the direct and indirect spending differences on continuance intentions, and the model can be generalized across Saudi Arabia

An improved negative selection algorithm based on the hybridization of cuckoo search and differential evolution for anomaly detection

The biological immune system (BIS) is characterized by networks of cells, tissues, and organs communicating and working in synchronization. It also has the ability to learn, recognize, and remember, thus providing the solid foundation for the development of Artificial Immune System (AIS). Since the emergence of AIS, it has proved itself as an area of computational intelligence. Real-Valued Negative Selection Algorithm with Variable-Sized Detectors (V-Detectors) is an offspring of AIS and demonstrated its potentials in the field of anomaly detection. The V-Detectors algorithm depends greatly on the random detectors generated in monitoring the status of a system. These randomly generated detectors suffer from not been able to adequately cover the non-self space, which diminishes the detection performance of the V-Detectors algorithm. This research therefore proposed CSDE-V-Detectors which entail the use of the hybridization of Cuckoo Search (CS) and Differential Evolution (DE) in optimizing the random detectors of the V-Detectors. The DE is integrated with CS at the population initialization by distributing the population linearly. This linear distribution gives the population a unique, stable, and progressive distribution process. Thus, each individual detector is characteristically different from the other detectors. CSDE capabilities of global search, and use of L´evy flight facilitates the effectiveness of the detector set in the search space. In comparison with V-Detectors, cuckoo search, differential evolution, support vector machine, artificial neural network, na¨ıve bayes, and k-NN, experimental results demonstrates that CSDE-V-Detectors outperforms other algorithms with an average detection rate of 95:30% on all the datasets. This signifies that CSDE-V-Detectors can efficiently attain highest detection rates and lowest false alarm rates for anomaly detection. Thus, the optimization of the randomly detectors of V-Detectors algorithm with CSDE is proficient and suitable for anomaly detection tasks

E-mail advertising: a Middle Eastern perspective and the moderating role of gender

This study assesses Middle Eastern consumers’ beliefs regarding attitude and behavioural responses toward e-mail advertising. To date, little is known about Middle Eastern consumers’ attitudes and behavioural responses towards email advertising. Our findings show that gender moderates the relationship between beliefs and attitudes, and responses to email advertising. A cross-sectional survey was conducted among 1200 respondents and yielded 321 valid responses. The hypothesized model was tested using structural equation modelling. Our findings show that both informativeness and entertainment beliefs positively predicted Middle Eastern consumers’ attitudes toward e-mail advertising. Additionally, attitude was found to fully mediate the relationship between beliefs regarding and behavioural responses toward e-mail advertising. Notably, females were found to react more intensely when exposed to email ads. Our findings suggest that advertisers promoting in a Middle Eastern context should take further steps to enhance the quality of information and the perceived entertainment value that could be delivered to Middle Eastern consumers through e-mail advertising specially for female internet users

Impact of Online Marketing Practices on E- Business Models in India: Choice as a Determinant

Till today, Web portal Model is popular e- business model which is selling a wide range of products, with both depth and breadth of range. However, over recent years, consumers have become more discerning due to changing lifestyles, spending priorities and shopping patterns (Fisher, 1998). The focus of this research paper is to draw attention of marketers and shoppers towards the need to develop a hypothetical model named Global Super Store Model, is to change the consumer towards provision of providing a wide range of products with price comparison facility on a single portal along with a huge range of brand name suppliers. This research paper is also an attempt to find out the impact of online marketing practices on both existing Web Portal Model and our Global Super Store Model for choice as a determinant. Keywords: Choice, Global super store, Online Shopping, Web portal model, Online marketing practices, India

The driving factors of continuance online shopping: Gender differences in behaviour the case of Saudi Arabia

This study proposes a revised technology acceptance model that integrates expectation confirmation theory to measure gender differences with regard to continuance online shopping intentions in Saudi Arabia. The 465-respondent sample consists of 68.8% women and 31.4% men. A structural equation model confirms model fit. Perceived usefulness, enjoyment, and subjective norms are determinants of online shopping continuance in Saudi Arabia. Both male and female groups are equivalent. The structural weights are also largely equivalent, but the regression paths from perceived usefulness to subjective norms and to continuous intention are not invariant between men and women. The model was operationally generalized across the whole of Saudi Arabia. This research moves beyond online shopping intentions and includes factors affecting online shopping continuance. The research model explains 65% of the intention to continue shopping online. This research suggests that online strategies cannot ignore either the direct and indirect gender differences on continuance intentions in Saudi Arabia. The model can be generalized across Saudi Arabia

The driving factors of continuance intention of e-shopping: Gender differences in behaviour - the case of Saudi Arabia

The objective of this study is to propose a revised technology acceptance model that integrates expectation confirmation theory to measure gender differences with regard to continuance online shopping intentions in Saudi Arabia. The sample was 465-respondent sample consists of 68.8% women and 31.4% men. A structural equation model confirms model fit. The research findings confirm that Perceived usefulness, enjoyment, and subjective norms are determinants of online shopping continuance in Saudi Arabia. Both male and female groups are equivalent. The structural weights are also largely equivalent, but the regression paths from perceived usefulness to subjective norms and to continuous intention are not invariant between men and women. This research moves beyond online shopping intentions and includes factors affecting online shopping continuance. The research model explains 65% of the intention to continue shopping online. The research findings suggest that online strategies cannot ignore either the direct and indirect gender differences on continuance intentions in Saudi Arabia. The model can be generalized across Saudi Arabia