Mobile Agent based Market Basket Analysis on Cloud

This paper describes the design and development of a location-based mobile shopping application for bakery product shops. Whole application is deployed on cloud. The three-tier architecture consists of, front-end, middle-ware and back-end. The front-end level is a location-based mobile shopping application for android mobile devices, for purchasing bakery products of nearby places. Front-end level also displays association among the purchased products. The middle-ware level provides a web service to generate JSON (JavaScript Object Notation) output from the relational database. It exchanges information and data between mobile application and servers in cloud. The back-end level provides the Apache Tomcat Web server and MySQL database. The application also uses the Google Cloud Messaging for generating and sending notification of orders to shopkeeper.Comment: 6 pages, 7 figure

Information Technology Platforms: Definition and Research Directions

The concept of an information technology (IT) related platform is broad and covers phenomena ranging from the operating system Linux to the Internet. Such platforms are of increasing importance to innovation and value creation across many facets of industry and daily life. There is, however, a lack of common understanding in both research and industry about what is mean by the term platform when related to IT. This lack of consensus is detrimental to research and knowledge development. Thus, the aims of this study are to: (i) provide a sound definition of the IT-platform concept by identifying its distinguishing dimensions; and (ii) identify important current research directions for the IT-platform concept. To achieve these aims a systematic literature review was undertaken with 133 relevant articles taken from major information systems journals, conferences, and business publications. The study contributes by providing a sound base for future research into IT-platforms.Comment: Research-in-progress ISBN# 978-0-646-95337-3 Presented at the Australasian Conference on Information Systems 2015 (arXiv:1605.01032

A framework for mobile handset detection

Due to the increase in social media and mobile media in general, access to these platforms from a number of different mobile devices must be catered for. Mobile Device Detection (MDD) refers to software that identifies the type of mobile device visiting the mobile web and either redirects the end user to a dedicated mobile web site or adapts the rendered output from a web server to best suit the capabilities of the end user\u27s mobile device. Furthermore, handset credentials are, in some cases, used for the purpose of correctly identifying the mobile operating system, which in turn is used to redirect to a mobile application download. In any web server request, identification of the user is transmitted in a header field known as the User-Agent (UA). Identifiable information present in the request header allows for unique browser identification and the device used in making the request for a web page. A lookup table, comprising of the all known handset capabilities, is the core functionality of a MDD. Our aim in this paper is to survey the distribution of mobile User-Agents so as to establish an attribution of mobile browsing detections. In particular, assessing details of mobile User-Agents, proxy requests (intermediary for requests from users seeking resources from other servers), emulated requests (software program that imitates a real handset), perpetuates our ability to census mobile traffic with some degree of accuracy. The approach is to make use of a sample set of real-world mobile aggregated requests. We will analyze and filter these requests by origin, User-Agent, geo-location and sometimes non-industry standard (inserted by mobile network operators, which might contain personally identifiable information) to build our mobile browsing framework. In doing so, we encompass description, identification, nomenclature, and classification of end user mobile handset detections. Finally, we will investigate the significance of our framework to see how unique requests are given nothing other than identifiable browser information

The Effects of the Quantification of Faculty Productivity: Perspectives from the Design Science Research Community

In recent years, efforts to assess faculty research productivity have focused more on the measurable quantification of academic outcomes. For benchmarking academic performance, researchers have developed different ranking and rating lists that define so-called high-quality research. While many scholars in IS consider lists such as the Senior Scholar’s basket (SSB) to provide good guidance, others who belong to less-mainstream groups in the IS discipline could perceive these lists as constraining. Thus, we analyzed the perceived impact of the SSB on information systems (IS) academics working in design science research (DSR) and, in particular, how it has affected their research behavior. We found the DSR community felt a strong normative influence from the SSB. We conducted a content analysis of the SSB and found evidence that some of its journals have come to accept DSR more. We note the emergence of papers in the SSB that outline the role of theory in DSR and describe DSR methodologies, which indicates that the DSR community has rallied to describe what to expect from a DSR manuscript to the broader IS community and to guide the DSR community on how to organize papers for publication in the SSB

Cloud-based Recommendation Systems: Applications and Solutions

Recommender systems have become extremely common in recent years, and are applied in a variety of applications. They help businesses increase their sales and customer satisfaction. More and more computing applications including recommender systems, are being deployed as cloud computing services. This papers presents some of the most common recommendation applications and solutions which follow SaaS, PaaS or other cloud computing service models. They are provided both from academia and business domain and use recent data mining, machine learning and artificial intelligence techniques. The tendency of these kind of applications is towards SaaS service model which seems the most appropriate especially for businesses

ERP implementation methodologies and frameworks: a literature review

Enterprise Resource Planning (ERP) implementation is a complex and vibrant process, one that involves a combination of technological and organizational interactions. Often an ERP implementation project is the single largest IT project that an organization has ever launched and requires a mutual fit of system and organization. Also the concept of an ERP implementation supporting business processes across many different departments is not a generic, rigid and uniform concept and depends on variety of factors. As a result, the issues addressing the ERP implementation process have been one of the major concerns in industry. Therefore ERP implementation receives attention from practitioners and scholars and both, business as well as academic literature is abundant and not always very conclusive or coherent. However, research on ERP systems so far has been mainly focused on diffusion, use and impact issues. Less attention has been given to the methods used during the configuration and the implementation of ERP systems, even though they are commonly used in practice, they still remain largely unexplored and undocumented in Information Systems research. So, the academic relevance of this research is the contribution to the existing body of scientific knowledge. An annotated brief literature review is done in order to evaluate the current state of the existing academic literature. The purpose is to present a systematic overview of relevant ERP implementation methodologies and frameworks as a desire for achieving a better taxonomy of ERP implementation methodologies. This paper is useful to researchers who are interested in ERP implementation methodologies and frameworks. Results will serve as an input for a classification of the existing ERP implementation methodologies and frameworks. Also, this paper aims also at the professional ERP community involved in the process of ERP implementation by promoting a better understanding of ERP implementation methodologies and frameworks, its variety and history

USING BLOCKCHAIN TO BUILD DECENTRALIZED ACCESS CONTROL IN A PEER-TO-PEER E-LEARNING PLATFORM

In the context of E-learning platforms, the amount of research focusing on access control is proliferating. However, research related to the decentralized access control in this field is scarce. To improve such area of research, an innovative model of decentralized access control used to protect the collaborative peer-to-peer E-learning platform has been proposed. In this model, the integrity, authenticity, non-repudiation and traceability of E-learning resources are ensured by using Blockchain platform. Also, RESTful web service and Go/Java programming language will be used as tools to implement this model. A key metric is measured to evaluate the proposed model: average response time. To increase the accuracy, some experiments (144) have been carried out. The same experiment is conducted in two comparatively different network environment: Local Area Network (LAN) and Cloud Web Service (such as Amazon Web Service). LAN running environment represents the optimal condition while Cloud environment stands for the actual condition in the real world. When the number of clients in my proposed E-learning platform is relatively small (consisting of one to thirty concurrent clients interacting with E-learning resources), the average response time in the LAN environment is much faster (nearly 1.5 times) than that in Cloud environment. Nevertheless, when the number of clients is on a large scale, the difference of average response time between this two environment becomes insignificant. Besides, adding servers in both environments can increase the horizontal scalability. Furthermore, adding servers in Cloud environment can boost the system performance dramatically. However, extending the delay could have an impact on the system performance but negligible

Costs and benefits of superfast broadband in the UK

This paper was commissioned from LSE Enterprise by Convergys Smart Revenue Solutions to stimulate an open and constructive debate among the main stakeholders about the balance between the costs, the revenues, and the societal benefits of ‘superfast’ broadband. The intent has been to analyse the available facts and to propose wider perspectives on economic and social interactions. The paper has two parts: one concentrates on superfast broadband deployment and the associated economic and social implications (for the UK and its service providers), and the other considers alternative social science approaches to these implications. Both parts consider the potential contribution of smart solutions to superfast broadband provision and use. Whereas Part I takes the “national perspective” and the “service provider perspective”, which deal with the implications of superfast broadband for the UK and for service providers, Part II views matters in other ways, particularly by looking at how to realise values beyond the market economy, such as those inherent in neighbourliness, trust and democrac

A Proposed Architecture for Big Data Driven Supply Chain Analytics

Advancement in information and communication technology (ICT) has given rise to explosion of data in every field of operations. Working with the enormous volume of data (or Big Data, as it is popularly known as) for extraction of useful information to support decision making is one of the sources of competitive advantage for organizations today. Enterprises are leveraging the power of analytics in formulating business strategy in every facet of their operations to mitigate business risk. Volatile global market scenario has compelled the organizations to redefine their supply chain management (SCM). In this paper, we have delineated the relevance of Big Data and its importance in managing end to end supply chains for achieving business excellence. A Big Data-centric architecture for SCM has been proposed that exploits the current state of the art technology of data management, analytics and visualization. The security and privacy requirements of a Big Data system have also been highlighted and several mechanisms have been discussed to implement these features in a real world Big Data system deployment in the context of SCM. Some future scope of work has also been pointed out. Keyword: Big Data, Analytics, Cloud, Architecture, Protocols, Supply Chain Management, Security, Privacy.Comment: 24 pages, 4 figures, 3 table