International Journal of Information Systems and Change Management (6 papers in press)

Regular Issues

• Online impulse buying of organic food: a moderated (website personality) mediation (social appeal) process  
  by Anum Tariq, Changfeng Wang, Yasir Tanveer, Umair Akram, Muhammad Bilal 
  Abstract: While existing literature has addressed the antecedents of impulsive buying behavior, 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 behavior 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 place on frequently used social media platform like Wechat, QQ and Sina Weibo. Results revealed a significant full mediation in a positive relationship between customer attitude and online impulse buying of organic food. This mediating effect of social appeal is further moderated by website personality that advocates that the mediating effect of social appeal is stronger for online browsers inducing more impulsive buying decisions. 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. Results propose actions to enhance organic consumption among modern consumers and contribute to the literature on social factor adoption resulting in a more nuanced deliberation on the online impulse buying of organic food.rn
  Keywords: social appeal; website personality; online impulse buying behaviour; organic food rn.
  
  
• Binomial logit regression and centralized agent stochastic optimization for privacy preserved load balancing in cloud  
  by Jawahar Muthusamy, Sabari A, S. Monika 
  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 and to preservethe data privacy. However, performance of conventional technique was not improved. In order to overcome such limitation, a Binomial Logit Privacy Preserved Load balancing (BLPPLB) Technique is proposed. The BLPPLB Technique is designed for improving the cloud security with higher data privacy level and load balancing efficiency. At first the request is sent from user to cloud server. BLPPLB Technique carried out binomial logit authentication with help of regression coefficient for each user requests based on user behaviour on cloud. Then, BLPPLB Technique finds the intruder attacks and authorized users in cloud. After performing authentication, BLPPLB Technique allows only authorized users to access data from cloud server for preserving data from intruders. During data accessing process, load balancing is performed through selecting optimal server among multiple servers for each user requests based on objective function using Centralized Agent Based Stochastic Local Search to provide the requested services. The experimental evaluation of BLPPLB Technique is conducted on metrics such as load balancing efficiency, intruder detection rate, data confidentiality level and data accessing time with respect to number of users. The experimental result shows that the BLPPLB Technique is able to increase the load balancing efficiency and data confidentiality level in cloud when compared to state-of-the-art works.
  Keywords: Binomial Logit Regression; Centralized Agent; Cloud Server; Intruder Attacks; Load Balancing; Objective Function; Stochastic Local Search; User Request.
  
  
• A Human Vision System-based Approach to Improve Computing Efficiency in Information Systems  
  by Jianxun Li, Jim Q. Chen, Weiqian Li 
  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 the pixel is taken as the basic unit to change the construction process of data analysis. We use the framework to significantly decrease computational complexity, simplify programming logic, and enhance the automaticity of information systems. 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.
  Keywords: Managing Software Complexity; Information Systems Design; Computing Efficiency; Human Vision System.
  
  
• Performance Analysis on Cluster based Intrusion Detection Techniques for Energy Efficient and Secured Data Communication in MANET  
  by A.V. Santhosh Babu, P. Meenakshi Devi, B. Sharmila, D. Suganya 
  Abstract: Mobile adhoc network (MANET) is a network in which the number of mobile nodes is connected without any access point. 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 absence 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 energy consumption and higher intrusion detection rate. To improve the performance of routing, various intrusion detection techniques are discussed and examined using clustering process.
  Keywords: Mobile adhoc network; access point; transmission range; security; mobility; topology variation; attacks;.
  
  
• The influence of Entrepreneurial Leadership on Organizational Innovation: Mediating role of Innovation Climate  
  by Muhammad Shahid Mehmood, Zhang Jian, Abdul Waheed 
  Abstract: Organizational innovation has been a widely studied area by diverse experts across the world because of its immense significance for firms 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 organizational innovation (OI) with an intervening effect of innovation climate (IC). Data were collected from 279 respondents within textile sector of Pakistan. Data were analyzed using four core statistical techniques, i.e., descriptive statistics, convergent validity test, discriminate analysis, and structural equation modeling. 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 organizational innovation. Furthermore, this study offers several managerial and theoretical implications alongside future opportunities for practitioners and research scholars.
  Keywords: Entrepreneurial leadership; organizational innovation; innovation climate.
  
  
• Digital Transformation in the Banking Sector: Surveys Exploration and Analytics
  by fadoua khanboubi, azedine boulmakoul 
  Abstract: This article proposes an approach to assist and support financial institutions in their digital transformation. Whether it's adapting to change to remain competitive or developing an activity, the digital transformation of the company has become unavoidable. Remember that the aim of processes is to structure a company’s business; it would therefore be axiomatic to study the impact of the digital environment on banking processes. This analysis will allow us to draw a roadmap to direct banks towards a successful digital transformation. The data used in this work are provided from a survey sent to specialists of the financial sphere to fill a correlation’s matrix between the banking processes and the digital risks. A special analysis, using data mining tools, fuzzy dissimilarity and R ecosystem to categorize banking processes allow us to propose a systemic approach to assist the bank’s digital transformation.
  Keywords: digital transformation; banking processes; digital risks; data mining; fuzzy dissimilarity.