Top PDF Business Information Systems: Design an App for That

Business Information Systems: Design an App for That

Business Information Systems: Design an App for That

“Now, as an adult, you may not try anymore—at least in the visual realm. This is ironic considering that your employers and colleagues assess you by how well you communicate—a skill that is reflected in annual reviews, pay increases, promotions, and even your popularity. Effective communication is a job requirement now, whether you’re trying to beat competitors, communicate vision, demonstrate thought leadership, raise capital, or otherwise change the world. And like it or not, your profession likely requires you to communicate using a visual tool, regardless of your proficiency or training in this medium. Business schools in particular drill their students in management, accounting, and technology, but few offer anything approaching Design 101—the one thing that combines creative thinking,
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mportal Services Mobile App Design and Development mportal Services Mobile App Design and Development

mportal Services Mobile App Design and Development mportal Services Mobile App Design and Development

Mobile apps, mobile websites and web apps are becoming more sophisticated and intricate when it comes to their presentation. Being able to add animations, screen transitions, and interactivity to the prototypes creates a new user experience for the end users. Using our tools and techniques, our Interactive Design team can turn wireframes and mobile mockups into amazing interactive prototypes, filled with rich media, animations and touch events.

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Design and Development of a Mobile APP for Multichannel Sales Systems based on Artificial Intelligence

Design and Development of a Mobile APP for Multichannel Sales Systems based on Artificial Intelligence

Some results showed that even if brand differentiation effectively relieves competition and conflicts between channels, it is generally not sufficient to achieve complete channel coordination [10]. In any case the advent of the online channel and new additional digital channels such as mobile channels and social media have changed retail business models, the execution of the retail mix, and shopper behavior [11]. For this purpose it is important to add to the multi-channel system more facilities such as Artificial Intelligence (A.I.) Decision Support Systems (DDs). Other important research topics are related promotions in multi-channel [12], effects of channel performance [13], and channel competition [14]. A.I. could improve content marketing processes [15], besides A.I. clustering algorithms has been adopted in literature for dynamic pricing by means of a mobile application [16], thus confirming that A.I. engine implementation is necessary to improve an advanced business intelligence (B.I.). More specifically Sales prediction [17] and sentiment analysis [18] by A.I. are important B.I. issues. These topics could be implemented by data mining tools such as Rapid Miner used in literature for B.I. in market basket analysis (MBA) [19]. Following the state of the art we propose in Fig. 1 an innovative model based on the multi-channel concept and on the application of an A.I. engine as DSS suitable for strategic marketing: the proposed model
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The Business Case for Mobile App Development Platforms For Hybrid App Development

The Business Case for Mobile App Development Platforms For Hybrid App Development

Let’s look at one more important benefit: your team has more time to completely focus on and understand your business problems and to con- centrate on the business value of your applica- tions. As mentioned earlier, successful imple- mentations of offline data access require careful design and testing to ensure a scalable and error- free system. Security needs – such as multiple authentication methods, storage of credentials, and data encryption – also require a significant investment in specialized developers. Many of the technical details that might distract them from the business are built into the platform. As your team understands your business better, the solution becomes more valuable.
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Business Information Systems Technology MSIS 2006

Business Information Systems Technology MSIS 2006

Telecommunications fundamentals including data, voice, image, and video. The concepts, models, archi- tectures, protocols, standards, and security for the design, implementation, and management of digital networks. Server architectures, server farms, cluster computing, and grid computing. Storage area net- works and network attached storage, Data center design and implementation. Development of an inte- grated technical architecture (hardware, software, networks, and data) to serve organizational needs in a rapidly changing competitive and technological environment. Network, data and application architectures. Enterprise application integration, XML. Web Services.
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Multilayered analysis of co-development of business information systems

Multilayered analysis of co-development of business information systems

As elaborated above, we position information systems between the poles of the outer business and the outer technical environments (see Fig. 1, Additional file 1). The inner structure of an information system can be under- stood as being “narrow-waisted” hyperboloids: business domain experts contribute to and collaborate in the busi- ness subsystems, and technicians do so in the technical subsystems; at the intersection of these subsystems, the “waist,” participation remains low. An information sys- tem technology that would support all stakeholder groups equally according to their respective level of expertise would show a broader waist in such a contrived illus- tration. The forces of change in the information system come from these poles but also from inside the informa- tion system, when users of the information system use it to reinvent and to re-engineer their business functions, processes, and organizations. However, within the infor- mation system many different partial domains have to be addressed. Many of these have different application and technical aspects, many of these require certain skills and knowledge from both of these poles, leading to an architecture with multiple layers and diverse participa- tion structures. We consider this as a pivotal problem for information systems research: the fundamental challenge, i.e. finding means to sustainably enable participation of as many stakeholder groups as possible in the continu- ous development of information systems [4], is not only a stimulus for this work, but rather for a whole range of research efforts, including, but not limited to, the design of DSLs [32] and their collective integration [46] towards domain-specific mashup systems [47].
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Design and Implementation of Business Intelligence Systems

Design and Implementation of Business Intelligence Systems

Business Intelligence Systems (BI) aims to gather in depth information from the company data and to analyze that data using different types of computer techniques and plotting which results in different types of graphs that facilitate the company in the future decisions [1]. The Business intelligence term was introduced by Hand Peter Luhn (Research at international business management, IBM) and he defined it as a ”.... ability to apprehend the interrelationships of presented facts in such a way as to guide action towards a desired goal” [2]. The BI Systems were evolved from the decision support systems that were developed in the 1960s and continued till late 1980s. According to the Howard Dresner the term Business Intelligence was the “.concepts and methods to improve business decision making by using face-based support system“[3]. The BI Systems produced results from large chunks of data that are stored in data warehouses or data mart. On the other hand it is not necessary that every system that gets data from data warehouse is a BI system. Forrester defines the BI system as: “Business Intelligence is a set of methodologies, processes, architectures, and technologies that transforms the raw data into meaningful and useful information. It allows business users to make informed business decisions with real-time data that can put a company ahead of its competitors“[4]. The BI Systems offered different types of reports which provide facility in better decision making. It gathers information from big database and analyzed them and presents in different types of reports (e.g. tabular, charts, graphs etc.). These reports provide different types of statistics such as past and present situation of the company that could help the top management in the better decision making.
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Explanation in information systems: A design rationale approach

Explanation in information systems: A design rationale approach

The major contribution of Hempel’s Deductive-Nomological model is the role of laws and law-like statements in the explanation equation. Assuming Hempel’s less rigorous definition of such laws, we may admit a range of facts that can contribute to the explanation of information system operations including: the physical constraints of computing and networking hardware (physical laws), constraints introduced by the syntax and semantics of a particular specification or programming language (logical laws), published technology standards, development and user-interface guidelines well-grounded in empirical studies, laws in the form o f regulatory frameworks that may bound the development and operation of systems in safety critical domains, and business rules, for example, accounting standards and intra/inter-organisational business process specifications that affect the finished IS product. Professional and organisational norms, such as those published by the IEEE and the ACM, which prescribe how professionals behave in practice may also be taken as a form o f law or law-like statement. In the socio-cultural context, conventions of behaviour such as those applied in a business meeting versus those applied in a pub grow out of the simple human need to coordinate their actions (Ruben, 1998). In the context of information systems development and use, these norms may act to guide individuals in their work. Considered in this way, laws take on an importance in the explanation structure in that they provide a reference structure that helps to answer questions about design decisions that impacted the system model.
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An Information Systems Design Theory for E-learning

An Information Systems Design Theory for E-learning

assessment, presentation of study material and organisation of student activities (Luck, Jones, McConachie, & Danaher, 2004). There is evidence to suggest, however, that this strategy suffers from some flaws including: not being particularly innovative; being limited in quality; and, limited in the ability to integrate with other systems (Alexander, 2001; Paulsen, 2002). Even the most advanced institutions report little more than 50% adoption by faculty (Sausner, 2005). With some exceptions universities have not employed technology to the same degree, or as effectively as, the business community (Piccoli, Ahmad, & Ives, 2000). Successful implementations of LMSs in the academic environment are rather rare (Sarker & Nicholson, 2005). Early adoption of e-learning by Australian universities during the 1990s was done without critical examination of the merits and led to cases of wasted resources, unfulfilled expectations, and project and organisational failure (Pratt, 2005). There is considerable evidence that e-learning within universities struggles to engage a significant percentage of students and staff. Furthermore, e-learning has limited success in moving
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Design Support for e-commerce Information Systems using Goal, Business and Process Modelling

Design Support for e-commerce Information Systems using Goal, Business and Process Modelling

Advances in Internet Technology in recent times have provided enterprises with new ways of doing their business activities. As a result, enterprises can now use electronic means to sell, distribute, market and buy products and services. Doing business transactions including business-to-business and business-to-consumer utilising electronic means is known as Electronic Commerce (e-Commerce) (Hartman, 2000). Such an e-Commerce environment provides enterprises with an opportunity to work together as a business value network, i.e. a group of enterprises that together fulfil customer needs, each excelling in its own specific speciality, products and services (Tapscott, 2000). These e-Commerce activities rely on information systems connected through the Internet and accessed by one or many actors. The e-Commerce information systems are a ‘ specific kind of information systems, interconnected via the Internet, and exploited by one or more actors, which support and enable the exchange of objects of economic value between various actors’ ( Gordijn, 2002).
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Characteristics of Information Systems and Business Informatics Study Programs

Characteristics of Information Systems and Business Informatics Study Programs

The limits in the overall foundation of IS and lack of clear concepts have serious implications for IS departments and individual researchers as well as the discipline as a whole. For instance, the lack of a distinct identity results in an imprecise research agenda that distracts the attention from investigating critical research questions. This in turn re- duces the ability to make significant contributions to the body of knowledge in IS. Re- searchers and IS departments are forced to argue continuously about the value, rigor and relevancy of their research. This in turn affects the capacity of the discipline to acquire adequate funding, resourcing and furthermore to design attractive study programs. IS researchers face increasing difficulties to compete for research funding, combined with a general decline in collaborative research activity with industry. The continuation and indeed its acceleration of the crisis is clearly visible, that despite the increasing impor- tance of IT in general, at the same time IS courses are disappearing, significant research activities led by IS researchers are rarely appearing and even IS departments are at risk.
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Design of web based information systems  New challenges for systems development

Design of web based information systems New challenges for systems development

Historically the demand for documentation of the software development has been high in the Company because the software is used in the pharmaceutical industry. Errors can cause serious problems for the customers' health and pharmaceutical company's business. Hence, the Company has had a formalized development methodology since 1994, where the Company became ISO9000 certified. The used methodology is based on techniques, tools and standard documents for different activities such as data modeling, and project planning, testing, etc., and includes guidelines for the use of the mentioned techniques, tools, and documents dependent on the project type. The methodology follows the waterfall model. According to key developers and managers in WebSystems this is problematic. WebSystems uses object-oriented technology to develop their systems, which is poorly supported by traditional structured analysis and a waterfall approach. Therefore is the existing methodology assessed as unsuitable for the web-development. We have followed a specific project in WebSystems, the Zyme project developing a large web-site, including a web-portal with approximately 10 sub-sites, a content management system, and facilities for e-commerce and dedicated community support. The sub-sites address very different user groups, for example investors, the press, education institutions, customers (including possibilities of purchasing enzymes). Thus, the demands for usability and flexibility are high. WebSystems was responsible for the design and development of all aspects of the site, the information architecture, user interface and navigation, technical infrastructure, etc.
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CM2206 Business Strategy and Information Systems. Week 9

CM2206 Business Strategy and Information Systems. Week 9

1. Organization Design and Strategy -An organization is a network of people, assets and processes interacting with each other in defined roles and working toward a common goal. An enterprise’s strategy specifies its business goals and the objectives to be achieved as well as the values and missions to be pursued. It is the enterprise’s formula for success and sets its basic direction. The strategy should adapt to external and internal factors. Resources are the primary material to design the strategy and can be of different types (people, equipment, know-how). Design defines how the
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Design Theory in Information Systems

Design Theory in Information Systems

The paper by Markus et al (2002) is a good example of a theory of this type. It gives explicit design and development principles for the class of application systems that supports emergent knowledge processes. An example advanced of a design principle is: “design for implicit guidance through a dialectical development process”. This principle (proposition) has a predictive element and can be phrased in a fashion similar to propositions in traditional theory. That is, this principle implies that “A dialectical development process is better (in some sense) than alternative development processes for the class of systems that support emergent knowledge processes”. Other researchers can test this proposition with other systems of this nature. In their own research the authors show that an alternative development process “of explicit guidance” was faulty. The design theory proposed consists of general principles to solve a class of business problems, rather than a unique set of system features to solve a unique business problem. The abstraction and generalization that occurred here distinguishes the study from what would occur in consulting.
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Design of Neuromemristive Systems for Visual Information Processing

Design of Neuromemristive Systems for Visual Information Processing

This chapter presents the synapse and neuron circuits designed in this work. Synapses were designed for constant weight values, random weight values, and adjustable weight values. Careful attention is given to minimizing the synaptic area. This is critical, since the number of synapses in an NMS (or any neural network) grows quadratically with the number of neurons. Previous synapse designs have assumed ideal memristor behavior, where switching is deterministic, and continuous [33–40, 89]. For example, many designs have been simulated using a linear ionic drift memristor model [19], characterized by a smooth hysteresis curve. However, memristor switching behavior is usually discontinuous, indicating the devices can only achieve a small set of conductance states. Furthermore, the exact values of these states and the required conditions (e.g. write voltage) have high variability. This work captures memristive circuit behavior that accurately reflects the ex- perimental characteristics of the devices. The neuron designs presented in this chapter include common activation functions (e.g. sigmoid, linear, and threshold), as well as peri- odic and rectified linear. Behavioral, power, area, and variation models are presented for each circuit. In later chapters, these models are integrated into system-level simulations of NMSs for visual information processing.
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Scales measuring characteristics of small business information systems

Scales measuring characteristics of small business information systems

computerisation. In fact, investment in computerisation is often a contributing cause for small business failure, especially in regional areas of Australia. To gain a clearer picture of the reasons for small business investment in computers and the factors that contribute to a successful conversion to computerisation, a survey of small businesses throughout the North Eastern area of NSW was conducted. The aim was to gather background information on such areas as the types of business applications for which the business owners required computer support (e.g., accounting), the characteristics of the organisation (e.g., whether it was in a growth phase), the decision making processes that led to computerisation or partial computerisation of the business, the characteristics of the chief executive officers of the business (e.g., computer literate versus non-computer literate), and whether or not cost-benefit models were used to support purchase decisions.
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Business Intelligence, Predictive Analytics, and Geographic Information Systems

Business Intelligence, Predictive Analytics, and Geographic Information Systems

Business Services (Portal) Customer Customer Data Data Transaction Transaction Data Data P B i I t lli /R ti B i I t lli /R ti A Casino Casino Exec Exec C ATM ATM Analytical Modeling A[r]

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SAP Business One mobile app for ios

SAP Business One mobile app for ios

Only items that are defined as Sales Item and have an image attached in Remarks tab in the Item Master Data window are represented in the Sales Catalog page. Alternatively, you can store the images of the items in folder defined in: Administration System Initialization General Settings Path tab Pictures Folder. The image name should be: <item no.>.png. To view items of a specific item group, tap the image of the item that appears on the required item group. This item is displayed on the whole page, providing some specific details. To refresh the displayed information, tap the Refresh icon. Thumbnails of the other items from that item group are displayed horizontally at the bottom of the page. The items that are currently in campaign appear with a yellow ribbon on right-top corner of the image. The thumbnail of the currently displayed item is highlighted. To view a different item of the same item group, tap its thumbnail. 3. To close the Sales Catalog page tap
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SAP Business One mobile app for Android

SAP Business One mobile app for Android

Business partners – Access business partners’ information including addresses, phone numbers, and contact details; view historical activities and special prices; create new business partners and new activities. Inventory and price lists – Monitor inventory levels, access detailed information about your products, including purchasing and sales price, available quantity, and product specifications, and view price lists. Sales documents – Create, view, update, and search for sales quotations and sales orders, and submit drafts of sales quotations and sales orders for approval. In addition, you can create, update, view, and close
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Summative evaluation of the antibiotic information App

Summative evaluation of the antibiotic information App

information app was designed for nurses, to help them with their information needs. This research tested whether the app was effective and supportive for nurses. Nurses needed to solve three scenarios with or without the app. The scenarios contained situations and questions that could arise during their job. There were three conditions, a baseline measurement without the app, and two post-measurements 8 months after the first measurement, one post-measurement with and one post-measurement without the app. During these months, the app was available for all nurses. The expectation was that the effectiveness of the app was positively evaluated and that it would be easier for nurses to find information with than without the antibiotic app. The results of this research were not conclusive. It was ambiguous whether nurses did found more correct solutions, but it seemed to be that nurses were more satisfied with the app than with the other resources. It was not clear whether the app supported nurses to find the solution in less time, nor whether the app
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