Template-Type: ReDIF-Article 1.0 Author-Name: Anum Tariq Author-X-Name-First: Anum Author-X-Name-Last: Tariq Author-Name: Changfeng Wang Author-X-Name-First: Changfeng Author-X-Name-Last: Wang Author-Name: Yasir Tanveer Author-X-Name-First: Yasir Author-X-Name-Last: Tanveer Author-Name: Umair Akram Author-X-Name-First: Umair Author-X-Name-Last: Akram Author-Name: Muhammad Bilal Author-X-Name-First: Muhammad Author-X-Name-Last: Bilal Title: Online impulse buying of organic food: a moderated (website personality) mediation (social appeal) process Abstract: While existing literature has addressed the antecedents of impulsive buying behaviour, this research study investigates the impulse buying of organic food through mediating effect of social appeal on the relationship between consumer attitude and online impulse buying behaviour and whether this mediated relationship is moderated by website personality. In total, 600 respondents were asked to fill online survey questionnaire, however, 423 valid responses were collected in Beijing, China. Data were collected in a period of three months from October-December 2017 by survey questionnaire placed on frequently used social media platform like Wechat, QQ and Sina Weibo. Results revealed a significant full mediation in a positive relationship. This mediating effect of social appeal is further moderated by website personality. Results instigate online marketing professionals to review their tactics to deal with modern consumers by developing websites with social learning mechanism, user-friendlier and visually appealing to push organic intake. Journal: Int. J. of Information Systems and Change Management Pages: 3-24 Issue: 1 Volume: 11 Year: 2019 Keywords: organic food; social appeal; website personality; online impulse buying behaviour. File-URL: http://www.inderscience.com/link.php?id=101646 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijiscm:v:11:y:2019:i:1:p:3-24 Template-Type: ReDIF-Article 1.0 Author-Name: M. Jawahar Author-X-Name-First: M. Author-X-Name-Last: Jawahar Author-Name: A. Sabari Author-X-Name-First: A. Author-X-Name-Last: Sabari Author-Name: S. Monika Author-X-Name-First: S. Author-X-Name-Last: Monika Title: Binomial logit regression and centralised agent stochastic optimisation for privacy preserved load balancing in cloud Abstract: Load balancing and privacy preservation of data plays an important role in cloud. Few research works have been designed to perform load balancing on cloud server but, performance was not improved. In order to overcome such limitation, a binomial logit privacy preserved load balancing (BLPPLB) technique is proposed. At first, the request is sent from user to cloud server. BLPPLB Technique carried out binomial logit authentication based on user behaviour on cloud. Then, BLPPLB technique finds the intruder attacks and authorised users in cloud. During data accessing process, load balancing is performed through selecting optimal server among multiple servers for each user requests based on objective function using centralised agent based stochastic local search to provide the requested services. The experimental result shows that the BLPPLB technique is able to increase the load balancing efficiency with higher data confidentiality when compared to state-of-the-art works. Journal: Int. J. of Information Systems and Change Management Pages: 25-43 Issue: 1 Volume: 11 Year: 2019 Keywords: binomial logit regression; centralised agent; cloud server; intruder attacks; load balancing; objective function; stochastic local search; user request; privacy reservation; user behaviour; authorised user; data accessing; data confidentiality. File-URL: http://www.inderscience.com/link.php?id=101647 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijiscm:v:11:y:2019:i:1:p:25-43 Template-Type: ReDIF-Article 1.0 Author-Name: Jianxun Li Author-X-Name-First: Jianxun Author-X-Name-Last: Li Author-Name: Jim Q. Chen Author-X-Name-First: Jim Q. Author-X-Name-Last: Chen Author-Name: Weiqian Li Author-X-Name-First: Weiqian Author-X-Name-Last: Li Title: A human vision system-based approach to improve computing efficiency in information systems Abstract: While a lot of research has been done in system design, reducing computational complexity is still a core problem in information systems. In order to break through the bottleneck of computing efficiency, this paper draws on the powerful processing capability of the human vision system (HVS) to propose a pixel domain computing framework. It converts the original problem into pixel operations, and pixels are taken as the basic unit to change the construction process of data analysis. The framework significantly decreases computational complexity, simplifies programming logic, and enhances the automaticity of information system. Our results demonstrate that the efficiency of the containment test is improved by 30 times, the logic complexity of the intersection area measurement is reduced by a factor of five, and the automaticity of root finding is significantly heightened. Journal: Int. J. of Information Systems and Change Management Pages: 44-55 Issue: 1 Volume: 11 Year: 2019 Keywords: information systems design; computing efficiency; human vision system; HVS; managing software complexity. File-URL: http://www.inderscience.com/link.php?id=101648 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijiscm:v:11:y:2019:i:1:p:44-55 Template-Type: ReDIF-Article 1.0 Author-Name: A.V. Santhosh Babu Author-X-Name-First: A.V. Santhosh Author-X-Name-Last: Babu Author-Name: P. Meenakshi Devi Author-X-Name-First: P. Meenakshi Author-X-Name-Last: Devi Author-Name: B. Sharmila Author-X-Name-First: B. Author-X-Name-Last: Sharmila Author-Name: D. Suganya Author-X-Name-First: D. Author-X-Name-Last: Suganya Title: Performance analysis on cluster-based intrusion detection techniques for energy efficient and secured data communication in MANET Abstract: Mobile ad hoc network (MANET) is a network which includes the number of mobile nodes (MN) is joined without any access point (AP). In MANET, the numbers of mobile devices are deployed for communication within the transmission range. MANET has large number of vulnerabilities that degrades the network and makes communication as difficult one. Challenges in MANET include non-existence of reliability in-between nodes because of their mobility and topology variation. Lack of security in network makes the intruder to interrupt the data transmission that resulted in data loss. Most of the routing protocols perform efficient routing but the networks are more susceptible to various attacks. The conventional security method protects wired network however it is not effectual for detecting the variants of intrusive attack in MANET. Our main objective is to detect the variants of attacks in MANET with lesser EC and higher IDR. To improve the performance of routing, various intrusion detection techniques are discussed and examined using clustering process. Journal: Int. J. of Information Systems and Change Management Pages: 56-69 Issue: 1 Volume: 11 Year: 2019 Keywords: mobile ad hoc network; MANET; access point; transmission range; security; mobility; topology variation; attacks. File-URL: http://www.inderscience.com/link.php?id=101649 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijiscm:v:11:y:2019:i:1:p:56-69 Template-Type: ReDIF-Article 1.0 Author-Name: Muhammad Shahid Mehmood Author-X-Name-First: Muhammad Shahid Author-X-Name-Last: Mehmood Author-Name: Zhang Jian Author-X-Name-First: Zhang Author-X-Name-Last: Jian Author-Name: Abdul Waheed Author-X-Name-First: Abdul Author-X-Name-Last: Waheed Title: The influence of entrepreneurial leadership on organisational innovation: mediating role of innovation climate Abstract: Organisational innovation has been a widely studied area by diverse experts across the world because of its immense significance for firm's performance in order to achieve a competitive advantage. However, entrepreneurial leadership (EL) is an emerging leadership style which is still in the early stages both conceptually and theoretically. This study aims to explore the relationships between EL and organisational innovation (OI) with an intervening effect of innovation climate (IC). Data were collected from 279 respondents within textile sector of Pakistan. Data were analysed using four core statistical techniques, i.e., descriptive statistics, convergent validity test, discriminate analysis, and structural equation modelling. First, the results showed a positive effect between EL and OI. Second, the findings unveiled the positive association between EL and OI through mediating influence of IC. This study contributes to the leaderships' literature by highlighting the significance of entrepreneurial leadership performance mechanism for organisational innovation. Furthermore, this study offers several managerial and theoretical implications alongside future opportunities for practitioners and research scholars. Journal: Int. J. of Information Systems and Change Management Pages: 70-89 Issue: 1 Volume: 11 Year: 2019 Keywords: entrepreneurial leadership; organisational innovation; innovation climate. File-URL: http://www.inderscience.com/link.php?id=101650 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijiscm:v:11:y:2019:i:1:p:70-89