Towards the integration of enterprise software: The business manufacturing intelligence

Nowadays, the Information Communication Technology has pervaded literally the companies. In the company circulates an huge amount of information but too much information doesn’t provide any added value. The overload of information exceeds individual processing capacity and slowdowns decision making operations. We must transform the enormous quantity of information in useful knowledge taking in consideration that information becomes obsolete quickly in condition of dynamic market. Companies process this information by specific software for managing, efficiently and effectively, the business processes. In this paper we analyse the myriad of acronyms of software that is used in enterprises with the changes that occurred over the time, from production to decision making until to convergence in an intelligent modular enterprise software, that we named Business Manufacturing Intelligence (BMI), that will manage and support the enterprise in the futurebusiness manufacturing intelligence, enterprise resource planning; business intelligence; management software; automation software; decision making software

Transforming the Decision-Making Process in Egypt

Decision support systems (DSS) emerged in the 1970s and have gradually in different dimensions and through various channels based on emerging information technology affected the decision making process at the individual, organizational and societal levels. Competition, convergence, globalization, business and socioeconomic pressures as well as market needs have all contributed to the deployment of cutting-edge mechanisms for rational and effective decision-making processes for government, private and public sector organizations alike. This paper describes the experience of the government of Egypt in spreading the awareness of information technology and its use in managing socioeconomic development since the mid 1980s through building multiple DSS platforms for governmental decision-making with a variety of lessons learnt in the design and delivery of DSS under complex conditions common to developing nations. The experience offers insights into a variety of problems for IS designers, implementers, users, practitioners and researchers. The paper focuses on the use of DSS for development through the experience of a government think tank, Information and Decision Support Center (IDSC), while demonstrating the implementation and institutionalization of decision support platform at the local administration level for delegation, empowerment and development planning

GEOGRAPHICAL INFORMATIONAL SYSTEMS - APPLICABILITY IN INVESTMENTS AND BANKING

Supported by information systems, the regional or world economy transformed itself in a global economy. Taking fast and optimal decisions is needed for each step an individual or an organization makes in order to support competitiveness in the context of radical evolution of the world economy. When dealing with fundamental decisions, spatial information plays an important role because it allows integration of data from various domains, having multiple connections, as well as their visualization and analysis in a useful, suggestive and efficient manner. Decision support systems (DSS) are spatially based computer applications and data which assists managers in making decisions. Since Geographical Informational Systems technology has a great deal to offer to the mortgage finance industry the goal of this paper is to analyze the main theoretical and practical approaches regarding the role of the geographic location and spatial relationships over the outcomes of the banking, housing and mortgage market.Investment, Banking, GIS Modeling, Decision Making System, Spatial Analysis

An Evolution of Corporate Software Support Systems

This paper is a brief literature survey on Software Support Systems (SSSs) and Knowledge Management (KM). This paper aims to evaluate strategic decision making perspective where enterprise information and knowledge management plays a vital role. For this evaluation, Software Support Systems (SSSs) and Knowledge Management (KM) which helps in selecting different types of support systems and human factors that affect adoption of such computer based systems in organizations are reviewed. This paper helps to analyze different types of the software support systems and system adoption concepts for the enterprises. This paper also includes concepts related to the Knowledge Management, which helps organizations to learn. Organizations knowledge and the support systems help the enterprises to take strategic decisions. Concerned literature describes Software Support Systems (SSSs) as Corporate Portals (CPs), Decision Support Systems (DSSs), Group Decision Support Systems (GDSSs), Computerized Decision Support Systems, and Adaptive Decision Support System (ADSSs). In addition, Technology Acceptance Model (TAM) that analyzes factors which would affect peoples in the enterprises is included. The factors, such as individual perception, ease of use and usefulness are analyzed. Keywords: Software Support Systems, Knowledge Management, Technology Acceptance Models

Mobile Decision Support System Usage in Organizations

In recent years, people have widely adopted mobile computing devices in their lives. In this paper, we define mobile decision support systems (mDSS) as decision support systems built on mobile computing platforms. Several factors influencing an individual employee’s usage of mDSS are examined. We propose a model shows how perceived usefulness, perceived ease of use, job mobility, and amount of information presented influence employees’ mDSS usage. In addition, employees’ mobile real-time-decision-making (mRTDM) responsibility will moderate the positive effects that job mobility has on their mDSS usage. This exploratory study seeks to define mDSS and understand how people will use these systems in organizations with today’s rapidly growing mobile technology

Innovation in patient decision support

Patient decision aids (PDAs) help to support patients in making an informed and value-based decision. Despite advancement in decision support technologies over the past 30 years, most PDAs are still inaccessible and few address individual needs. Health innovation may provide a solution to bridge these gaps. Information and computer technology provide a platform to incorporate individual profiles and needs into PDAs, making the decision support more personalised. Health innovation may enhance accessibility by using mobile, tablet and Internet technologies; make risk communication more interactive; and identify patient values more effectively. In addition, using databases to capture patient data and the usage of PDAs can help: developers to improve PDAs’ design; clinicians to facilitate the decision-making process more effectively; and policy makers to make shared decision making more feasible and cost-effective. Health innovation may hold the key to advancing PDAs by creating a more personalised and effective decision support tool for patients making healthcare decisions

Perception vs. Reality: Improving Mission Commander Decision-Making Capabilities by use of Heart Rate Zone Feedback in Training Environments

In the military environment, it is common for commanders to rely exclusively on perceptional information (e.g., visual observations) to make decisions on their personnel’s physical capabilities. There is little evidence to support the idea that the information provided by physiological feedback technology, typically made available to the individual visually, could improve assessments and decision-making capabilities of outside observers (e.g., mission commander in a remote location). Through experimental examination this research shows that commanders who have Heart Rate Zone (HRZ) biofeedback information about their Airmen by use of physiological technology were able to more accurately predict the level of effort and how much longer their Airmen were able to continue an AF relevant endurance activity (e.g., rucksack march) than those commanders without the biofeedback information

A Rare Family: Exploring Genetic Literacy in an Online Support Group

Healthy People 2020 and the Institute of Medicine (IOM) define health literacy as the “degree to which individuals have the capacity to obtain, process and understand basic health information and services needed to make appropriate health decisions.” Essential components of health literacy include oral and print literacy, numeracy, and cultural and conceptual knowledge; the latter is influenced by sociodemographic factors and cultural understandings and approaches to concepts such as healthcare. Genetic literacy, a form of health literacy, may be defined as the knowledge, skills and attitudes necessary to individual understanding of genetic information, and genetic-based health, behavior, technology and services, making it a vital component of sexual and reproductive decision-making. The current qualitative research study employed holistic-content and narrative analysis of secondary data (electronic or e-mail posts) from an online support group for individuals affected by a genetic disorder in order to to gain additional insights into specific psychosocial and environmental variables that affect individual genetic literacy, related perceptions of genetic risk, and sexual and reproductive decision-making. Findings from the study indicate that online health-related support groups can evolve into a socially-constructed “family” of individuals affected by specific disorders. Within this online family, members find others who can identify with their feelings and experiences. Like biological families of origin, this “familial” context may then exert particularly strong influences on members’ social and health decision-making via co-constructed cultural and conceptual knowledge of the disorder. Further qualitative research needs to be performed to understand the positive and negative impact that participation in a collective consciousness might have on individual genetic literacy necessary for making sensitive decisions such as those involved in sexual and reproductive health. Implications for education and counseling are discussed

Mobile Media Devices and Communication Applications as a Form of Augmentative and Alternative Communication: An Assessment of Family Wants, Needs, and Preferences

This study assessed the wants, needs, and preferences of families at various stages of the decision-making process relative to mobile media technology as a form of augmentative and alternative communication (AAC). A survey entitled "iDevices, AAC, and Families: A Survey of Needs" was hosted online. Families' participation was solicited with help from organizations that support individuals with communication disabilities at national, state, and local levels. A total of 64 parents and caregivers responded to the survey and provided information about supporting their child using an iDevice and communication application(s) as an AAC system. The data revealed that the majority of families want information and support from professionals throughout the decision-making process. In particular, families wanted information about how to use the AAC device and the support of professionals knowledgeable about AAC. The families reported ease of use and affordability as the two most influential characteristics in the purchase of both iDevices and communication applications, and they wanted support to help the AAC device meet their child's individual needs. Families cited speech-language pathologists as the professional preferred to support both their child and themselves. Clinical implications for speech-language pathologists who support children who use AAC and their families include the need to embrace and recognize their role as speech-language pathologists in the consumer access model for mobile media AAC technology. This includes providing knowledge and support during and before and after the families' purchase. There is a need for professionals to keep family priorities in mind, which often include ease of use and affordability, while also focusing on device feature matching to meet the child's communication needs. Speech-language pathologists are encouraged to actively participate in mobile media AAC technology assessment and intervention