This paper assesses why it's important for businesses to make the commitment to engage in an effective e-commerce strategy. In a tough economy like the one we are currently experiencing, engaging in the pursuit of internet sales is a legitimate way for businesses to grow their market share. In the same vain as depicted in the movie Field of Dreams, "if you build it they will come." An online presence in these difficult times will improve a firm's competitive posture, reduce advertising costs, evolve it from a local entity to a global supplier, and protect it against major paradigm shifts. Unlike traditional forms of customer communications, online purchasers have control of the information they want to review. The links these purchasers select give an indication concerning their preferences as they navigate through the website, or the areas where they have difficulty completing a transaction due to a problem. Tracking these preferences and problem areas in information systems is one way to predict issues that consumers in a certain profile group may have. Once the preferences of online customers have been assessed and identified, they have to be incorporated into website design solutions. When implementing their online capabilities, companies must commit to taking an online leadership position, keeping a quality focus on products and the services that deliver them, and tailoring online systems to support collective learning organizations. Implementing high quality websites that support efficient online business transactions requires investment in servers and supporting information technology systems to collect, process, store, and distribute the required supporting customer and transaction data. By committing to invest in IT systems designed to support business strategies targeting leadership positions in key business areas, companies can experience growth even in poor economic conditions. Otherwise, the business will take up the stature of a "follower" and slowly lose ground and market share to competitors.
The continuous creation of data has posed new research challenges due to its complexity, diversity and volume. Consequently, Big Data has increasingly become a fully recognised scientific field. This article provides an overview of the current research efforts in Big Data science, with particular emphasis on its applications, as well as theoretical foundation.
Internet of Things (IoT) refers to the complex systems generated by the interconnections among widely available objects. Such interactions generate large networks, whose complexity needs to be addressed to provide suitable computationally efficient approaches. In this article, we propose a distributed local community detection algorithm based on specific properties of community centre expansions (DLCD-CCE) for large-scale complex networks. The algorithm is evaluated via a prototype system, based on Spark, to verify its accuracy and scalability. The results demonstrate that compared to the typical local community detection algorithms, DLCD-CCE has better accuracy, stability and scalability, and effectively overcomes the problem that existing algorithms are sensitive to the location of initial seeds.
This paper is a case study validating that strategic leadership which results in a value proposition implemented on behalf of the customer has a tremendous effect on the success of business operations, perhaps even more so for online services. By managing the value propositions of its users and customers to ensure they had positive online experiences, Facebook was able to begin from humble origins and run competitor MySpace into the ground, replacing it as today's most relevant social networking alternative. This paper also contrasts Facebook's current position against Google as the later tries to enter the social networking market place and take market share away from Facebook. From 2005 until early 2008, MySpace was the most visited social networking site in the world, and in June 2006 surpassed Google as the most visited website in the U.S. But MySpace failed to manage the quality of user experiences on their network, and began losing customers to Facebook. Facebook founder and CEO, Mark Zuckerberg, had a vision and offered a social network with a clean design and a better user experience. Facebook's unique focus on relationship management also enticed users to visit more often, and stay longer when they did visit, which drew advertisers willing to invest aggressively. Facebook quickly caught MySpace and dominated it by providing quality online services that resulted in positive user experiences.Despite all the focus today's business world puts on information, and how to search for, use, and manage it, Facebook became a $100 billion enterprise in just 8 years because its leader defined a strategy that leveraged our desire to connect with people and maintain relationships.Facebook validates that people have a keen interest in a developing and maintaining human relationships and, when given the choice, would rather spend their time building networks of relationships, rather than networks of information. As a result, Facebook fundamentally changed how people use the web and find and access information.
Industry 4.0 has drawn considerable attention from industry and academic research communities. The recent advances in Internet of Things (IoT), Big Data Analytics, sensor technology and Artificial Intelligence have led to the design and implementation of novel approaches to take full advantage of data-driven solutions applicable to Industry 4.0. With the availability of large datasets, it has become crucially important to identify the appropriate amount of relevant information, which would optimise the overall analysis of the corresponding systems. In this article, specific properties of dynamically evolving data systems are introduced and investigated, which provide framework to assess the appropriate amount of representative information.
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