The influence of technology, environment and user acceptance on the effectiveness of information system project selection using SEM

The selection of the present information system project is difficult because of the many factors that influence it. Information system project should pay attention to the user acceptance, technology and the environment in terms of their influence on the information system project selection.The purpose of this paper is to determine how much influence user acceptance, technology and the environment have on the information system project selection.This research uses data obtained from several ministries and analyzed using SEM (Structural Equation Models).The results found that the technology and the environment affects user acceptance. Moreover, technology and environment affect the effectiveness of the information systems project selection through the mediating effect of user acceptance. User acceptance, tested by the incorporation of usefulness and ease of use, the results are more modest and in line with previous theories. Furthermore, the external environment highly impacts the information system project selection

Study of the extended technology acceptance model in the U.S. Navy: Case of combat information system

The U.S. Navy continues to be a major developer and procurer of information systems (IS), yet very limited research has been done to determine the factors that influence technology acceptance by naval personnel. Literature suggests that efforts to embrace information technology in improving decision-making and reducing workload heavily depends on the use of such systems. Moreover, previous research has shown the validity of the technology acceptance model (TAM) and computer self-efficacy (CSE) to model technology acceptance in numerous environments. However, no prior research was done specifically addressing such technology acceptance with military combat IS. Thus, this study examines the applicability of the extended TAM with a CSE construct model to the U.S. Navy’s combat IS. A survey sample of 237 sailors from five (5) different U.S. Navy aircraft carriers was used to assess such extended model on a U.S. Navy’s combat ISs. Results indicate that perceived ease-of-use, perceived usefulness, and CSE were valid antecedents of technology acceptance (as indicated by intention to use). Moreover, high Cronbach’s Alpha was observed on all measures indicating additional reliability of the measures also in the context of military organizations

Cloud Computing: TOE Adoption Factors By Service Model In Manufacturing

Organizations are adopting cloud technologies for two primary reasons: to reduce costs and to enhance business agility. The pressure to innovate, reduce costs and respond quickly to changes in market demand brought about by intense global competition has U.S. manufacturing firms turning to cloud computing as an enabling strategy. Cloud computing is a service based information technology model that enables on-demand access to a shared pool of computing services provisioned over a broadband network. Cloud is categorized across three primary service models, Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS), differentiated by the cloud provider’s level of responsibility for managing hardware services, development platforms and application services. While prior research in cloud computing has sought to define the concept and explore the business value, empirical studies in the Information Systems literature stream are sparse, limited to exploratory case studies and SaaS research. Using the Technology, Organization, and Environment framework as a theoretical foundation, this research provides a holistic cloud adoption model inclusive of all cloud service layers. The study analyzes factors influencing organizational cloud adoption utilizing survey data from 150 U.S. manufacturing firms. The results find organizational innovativeness as a crucial factor to cloud computing adoption in manufacturing. An inverse factor relationship suggests the more innovative the firm culture, the less likely it is to adopt cloud. Other significant adoption factors include trust and technical competency. Findings also suggest variations in adoption influences based on the cloud service model deployed. The study has strategic implications for both researchers and managers seeking to understand the antecedents to adoption, and for practitioners developing an organizational cloud strategy spanning multiple cloud service models. For vendors, the study provides insights that can be leveraged to inform product design, solution strategy, and value proposition creation for future cloud service offerings

Transactions of 2015 International Conference on Health Information Technology Advancement Vol.3, No. 1

The Third International Conference on Health Information Technology Advancement Kalamazoo, Michigan, October 30-31, 2015 Conference Chair Bernard Han, Ph.D., HIT Pro Department of Business Information Systems Haworth College of Business Western Michigan University Kalamazoo, MI 49008 Transactions Editor Dr. Huei Lee, Professor Department of Computer Information Systems Eastern Michigan University Ypsilanti, MI 48197 Volume 3, No. 1 Hosted by The Center for Health Information Technology Advancement, WM

Determinants of Students’ Intention To Learn Cloud Computing

The explosive growth of data and frequent application updates along with the increasing need to access data and/or applications from multiple locations has resulted in a need to improve the way data and applications are stored and served. Such a need has forced both companies and academic institutions to pay attention to cloud computing technology. Since education is a driving force for the continuous improvement of cloud computing, this study aims at identifying the factors that influence college students’ intention to learn about cloud computing technology. Specifically, the research question focuses on determining which factors drive students’ intention to learn the cloud computing concept. Four hundred and thirty-five (435) college students participated in this study. The results revealed several factors which influence students’ intention to learn cloud computing and thus were recommended as the factors academic institutes should consider before adding cloud computing into their curriculum

Antecedents and Outcomes of End User Computing Competence

The tremendous proliferation of end user computing (EUC) in the workplace over the past few decades is cause for concern in public and private organizations. Computer use has moved from individuals working with dumb terminals in centralized networks to individuals operating personal computers, just as powerful as yesterday\u27s mainframe. The end user has had to evolve and will continue evolving as well; from someone with low level technical skills to someone with a high level of technical knowledge and information managerial skills. Because EUC continues growing more sophisticated, end users must not only maintain a level of competence, but prepare for the next generation of computing technology. Doing so will enable organizations to continue enjoying the positive benefits of EUC success. Research indicates that EUC success may depend on end user competence. Using Structural Equation Modeling (SEM) to test an integrated model of EUC success, the results of this study show that computer training, education level, beliefs about computer systems and the ability to operate them lead to end user computing competence. Additionally, results show that computer system use, a factor in achieving EUC success, is an outcome of end user computing competence. The overall conclusions drawn from this study is that the Air Force organization may be able to improve its efforts to successfully use computing technology, however it appears individual personnel have the competence to do so already. There may be additional underlying factors contributing to the lack of significant computing success, the discovery of which is a prospect for future research

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

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

A Dynamic Knowledge Management Framework for the High Value Manufacturing Industry

Dynamic Knowledge Management (KM) is a combination of cultural and technological factors, including the cultural factors of people and their motivations, technological factors of content and infrastructure and, where these both come together, interface factors. In this paper a Dynamic KM framework is described in the context of employees being motivated to create profit for their company through product development in high value manufacturing. It is reported how the framework was discussed during a meeting of the collaborating company’s (BAE Systems) project stakeholders. Participants agreed the framework would have most benefit at the start of the product lifecycle before key decisions were made. The framework has been designed to support organisational learning and to reward employees that improve the position of the company in the market place