Accommodating User-Group Characteristics to Improve the Acceptance of Executive Information Systems— State of the Art and User-Interface Components for Up Close and Personalized Configuration

In executive information systems (EIS) design, where idiosyncratic users must often be considered, understanding users andtheir preferences is important. Since user interfaces are a highly visible EIS component, they are an important lever for theiracceptance. To accommodate executives\u27 growing range of user preferences, this article develops building blocks for theuser-interface to make up close and personalized EIS possible. As this work represents a first step in a larger researchproject, we conduct a multidisciplinary literature review on how the EIS design process can accommodate user preferences,thus improving EIS acceptance with the right user interface. Based on three findings regarding their design, we proposebuilding blocks for user-interface design covering three clusters of components: information presentation, dialog control, andpredefined functions. Finally, we incorporate their components in an EIS prototype to start evaluating our proposal\u27s utility

Situational Management Support Systems: Accommodating the Growing Range ofWorking Styles, Use Cases, and Access Modes

Digital natives increasingly populate organizations' management. These new-generation managers more naturally accept management support systems (MSS), but also have higher expectations about how they should accommodate their individual user preferences. As a result, managers question MSS that have been developed without configuration mechanisms to accommodate their working style, relevant MSS use cases, and different MSS access modes. The objective of this article is to reveal managers' different MSS use situations and propose levers for tailoring (conceptual) MSS design to them. Use situations generalize classes of similar user-group preferences. We first apply findings from a literature review to cluster managers' user-group preferences into 36 MSS use situations. Second, we propose that the selection of end-user devices can serve as a main lever for MSS configuration. Third, we complete the configuration with a MSS user-interface design. Finally, we demonstrate utility of our configuration model by presenting and evaluating a prototyp

LEVERAGING IN-MEMORY TECHNOLOGY TO IMPROVE THE ACCEPTANCE OF MSS - A MANAGERS´ PERSPECTIVE

Management support systems (MSS) help managers to perform their jobs more efficiently. With in-memory technology, a new IT enabler promises to support managers by benefits ranging from reducing time for MSS data entry and analysis to completing even new topics of analysis. Hence, the present situation is favorable for an MSS redesign applying in-memory apps. Such apps are field-tested and ready-to-use, but from a business perspective they lack impact. Based on findings from a literature review and results from a workshop with an expert focus group validated with one-on-one manager interviews, we propose four initial use situations in which in-memory apps contribute to greater MSS acceptance: (1) In-memory apps should accelerate the MSS response time for both check status and receive an alert. In doing so, they should focus on information from management accounting. (2) By delivering information more timely, in-memory apps should contribute to MSS standard reports and financial closing. (3) In-memory apps should accelerate MSS response time for both ad-hoc analysis and drill-down/drill-through analysis. (4) Leveraging in-memory apps, MSS ad-hoc analysis and drill down/drill-through analysis should become more flexible.

MANAGERS AND COLLABORATION TECHNOLOGY: A BUSINESS PERSPECTIVE FOR IMPROVING MANAGEMENT SUPPORT SYSTEMS

Over the last years managers have expanded their role in operations and nowadays they make decisions faster than in the past. Collaboration technology promises to support managers in doing so. Hence, the present situation is favorable for a redesign of management support systems (MSS) incorporating collaboration technology. To examine such technology, we consider analyst - and consumer -type managers´ perspectives and cover collaboration technology for different devices. Based on findings from a literature review and arguments validated in structured manager interviews, we propose four initial design guidelines facilitating collaboration for managers: (1) Coordination: MSS should indicate the availability of other users, send read confirmations, and provide document sharing. (2) Communication: MSS should enable on-topic annotations and sending them to other users at the push of a button. (3) Cooperation: MSS should provide a comprehensive managerial self-service search function. (4) Devices: For shared documents and textual annotations tablets have become managers most wanted smart device type

Semantic discovery and reuse of business process patterns

Patterns currently play an important role in modern information systems (IS) development and their use has mainly been restricted to the design and implementation phases of the development lifecycle. Given the increasing significance of business modelling in IS development, patterns have the potential of providing a viable solution for promoting reusability of recurrent generalized models in the very early stages of development. As a statement of research-in-progress this paper focuses on business process patterns and proposes an initial methodological framework for the discovery and reuse of business process patterns within the IS development lifecycle. The framework borrows ideas from the domain engineering literature and proposes the use of semantics to drive both the discovery of patterns as well as their reuse

Examining the Role of Business Intelligence and Analytics in Hospitality Revenue Management

Most hospitality revenue management forecasting systems were built prior to the business intelligence and analytics movement. Only recently these systems have been enhanced to offer contemporary business intelligence and analytics functionalities. In addition, revenue management professionals are receiving support from standalone, supplementary business intelligence and analytics platforms. The purpose of this dissertation was to produce a holistic review of and establish the role of business intelligence and analytics within hospitality revenue management. Data was collected from twenty-three interviews; all participants were employed by hospitality organizations in revenue management specific positions. Grounded theory methodology was utilized. The results show that nearly all of revenue management tasks are supported by business intelligence and analytics functionalities, irrespective of where the functionalities are housed, in revenue management systems or in business intelligence and analytics tools. Also, opportunities to integrate more advanced functionalities into revenue management systems, including those relating to interfaces, were identified. As part of this inquiry, revenue managers’ beliefs and perceptions - including relative advantage, job-fit, and trust - were examined to determine which have influence on the usage of business intelligence and analytics within revenue management systems and as standalone tools. Overall, twenty-two categories/themes were formulated across four research questions. This dissertation contributes to the examination of the role of business intelligence and analytics in hospitality revenue management, but there is still much more to investigate, particularly as compatibility of hospitality systems and data management are improved

DACTyL:towards providing the missing link between clinical and telehealth data

This document conveys the findings of the Data Analytics, Clinical, Telehealth, Link (DACTyL) project. This nine-month project started at January 2013 and was conducted at Philips Research in the Care Management Solution group and as part of the Data Analysis for Home Healthcare (DA4HH) project. The DA4HH charter is to perform and support retrospective analyses of data from Home Healthcare products, such as Motiva telehealth. These studies will provide valid insights in actual clinical aspects, usage and behavior of installed products and services. The insights will help to improve service offerings, create clinical algorithms for better outcome, and validate and substantiate claims on efficacy and cost-effectiveness. The current DACTyL project aims at developing and implementing an architecture and infrastructure to meet the most demanding need from Motiva telehealth customers on return on investment (ROI). These customers are hospitals that offer Motiva telehealth to their patients. In order to provide the Motiva service cost-effectively, they need to have insight into the actual cost, benefit and resource utilization when it comes to Motiva deployment compared to their usual routine care. Additional stakeholders for these ROI-related data are Motiva customer consultants and research scientists from Philips for strengthening their messaging and service deliveries to arrive at better patient care

Challenges in Inclusiveness for People with Disabilities within STEM Learning and Working Environments

This report is a reflection on the necessity for the inclusion of people with disabilities in the field of STEM and the different methods and processes that need to be revised or implemented to achieve this goal. It will delve into further detail about the challenges facing PWDs in STEM through interview anecdotes and survey results. Each solution offered will be accompanied by thorough research and support. Policymakers, teachers and students may use these recommendations to break down barriers to STEM careers and build a more inclusive future

GPT Models in Construction Industry: Opportunities, Limitations, and a Use Case Validation

Large Language Models(LLMs) trained on large data sets came into prominence in 2018 after Google introduced BERT. Subsequently, different LLMs such as GPT models from OpenAI have been released. These models perform well on diverse tasks and have been gaining widespread applications in fields such as business and education. However, little is known about the opportunities and challenges of using LLMs in the construction industry. Thus, this study aims to assess GPT models in the construction industry. A critical review, expert discussion and case study validation are employed to achieve the study objectives. The findings revealed opportunities for GPT models throughout the project lifecycle. The challenges of leveraging GPT models are highlighted and a use case prototype is developed for materials selection and optimization. The findings of the study would be of benefit to researchers, practitioners and stakeholders, as it presents research vistas for LLMs in the construction industry.Comment: 58 pages, 20 figure

Human-Computer Interaction

In this book the reader will find a collection of 31 papers presenting different facets of Human Computer Interaction, the result of research projects and experiments as well as new approaches to design user interfaces. The book is organized according to the following main topics in a sequential order: new interaction paradigms, multimodality, usability studies on several interaction mechanisms, human factors, universal design and development methodologies and tools