Donald E. Wynn

The penguin’s window: Corporate brands from an open-source perspective

The open source (OS) movement allows us to re-vision corporate branding from a corporate to a coproducer perspective. Corporations own their brands and unilaterally determine their positioning and evolution. Power and control are centralized and hierarchical: producers produce brands, which customers then consume. With OS, power and control are radically decentralized and hierarchical: producers and consumers coalesce into “prosumers.” The authors introduce marketers to the OS phenomenon and develop a typology of brand aspects that can be “open” or “closed”: physical, textual, meaning, and experience. The authors elaborate new dimensions for brands and revisit the functions that brands perform and link these to the evolutionary trajectory of branding, arguing that OS represents a final phase in the evolution of corporate brands from closed to open brands. The article concludes with a research agenda.

Principles for conducting critical realist case study research in information systems

Critical realism is emerging as a viable philosophical paradigm for conducting social science research, and has been proposed as an alternative to the more prevalent paradigms of positivism and interpretivism. Few papers, however, have offered clear guidance for applying this philosophy to actual research methodologies. Under critical realism, a causal explanation for a given phenomenon is inferred by explicitly identifying the means by which structural entities and contextual conditions interact to generate a given set of events. Consistent with this view of causality, we propose a set of methodological principles for conducting and evaluating critical realism-based explanatory case study research within the information systems field. The principles are derived directly from the ontological and epistemological assumptions of critical realism. We demonstrate the utility of each of the principles through examples drawn from existing critical realist case studies. The article concludes by discussing the implications of critical realism based research for IS research and practice.

Implementation of an intravenous medication infusion pump system: implications for nursing.

AIM To assess perceptions of nurses regarding the implementation of intravenous medication infusion system technology and its impact on nursing care, reporting of medication errors and job satisfaction. BACKGROUND Medication errors are placing patients at high risk and creating an economic burden for hospitals and health care providers. Infusion pumps are available to decrease errors and promote safety. METHODS Survey of 1056 nurses in a tertiary care Magnet hospital, using the Infusion System Perception Scale. Response rate was 65.43%. RESULTS Nurses perceived the system would enhance their ability to provide quality nursing care, reduce medication errors. Job satisfaction was related to higher ratings of the management team and nursing staff. Perceptions verified the pump was designed to promote safe nursing practices. CONCLUSIONS It is important to consider relationships with job satisfaction, safe nursing practice and the importance of ratings of nursing staff and management teams when implementing infusion technology. IMPLICATIONS FOR NURSING MANAGEMENT Infusion pumps are perceived by nurses to enhance safe nursing practice. Results stress the importance of management teams in sociotechnological transformations and their impact on job satisfaction among nurses.

Choosing Management Information Systems as a Major: Understanding the smiFactors for MIS

Follow this and additional works at: http://ecommons.udayton.edu/mis_fac_pub Part of the Business Administration, Management, and Operations Commons, Databases and Information Systems Commons, Higher Education Commons, Management Information Systems Commons, Management Sciences and Quantitative Methods Commons, Operations and Supply Chain Management Commons, and the Other Computer Sciences Commons

Searching for Herbert Simon: Extending the Reach and Impact of Business Intelligence Research Through Analytics

Since Herbert Simon’s seminal work (Simon, 1957) on bounded rationality researchers and practitioners have sought the “holy grail†of computer-supported decision-making. A recent wave of interest in “business analytics†(BA) has elevated interest in data-driven analytical decision making to the forefront. While reporting and prediction via business intelligence (BI) systems has been an important component to business decision making for some time, BA broadens its scope and potential impact in business decision making further by moving the focus to prescription. The authors see BA as the end-to-end process integrating the production through consumption of the data, and making more extensive use of the data through heavily automated, integrated and advanced predictive and prescriptive tools in ways that better support, or replace, the human decision maker. With the advent of “big data†, BA already extends beyond internal databases to external and unstructured data that is publicly produced and consumed data with new analytical techniques to better enable business decision makers in a connected world. BI research in the future will be broader in scope, and the challenge is to make effective use of a wide range of data with varying degrees of structure, and from sources both internal and external to the organization. In this paper, we suggest ways that this broader focus of BA will also affect future BI research streams.

Explaining Users' Security Behaviors with the Security Belief Model

Information security is often viewed as a technological matter. However, security professionals will readily admit that without safe practices by users, no amount or type of technology will be effective at preventing unauthorized intrusions. By paralleling the practices of information security and health prevention, a rationale for employing constructs from existing models of health behavior is established. A comprehensive and parsimonious model (the Security Belief Model) is developed to explain information security behavior intentions. The model is tested empirically based on a sample of 237 Indian professionals. The results of the empirical study indicate general support for the model, particularly including severity, susceptibility, benefits, and a cue to action as antecedents to the intention to perform preventive information security behaviors. The paper also discusses implications of the model and results for practitioners and possibilities for future research are included. Explaining Users’ Security Behaviors with the Security Belief Model

Open to all: a postmodern perspective on product development and brands in an open-source environment

While open source product development and innovation is not a new phenomenon, it is a prominent form of offering development in the post-industrial age, facilitated by networked communication media. Understanding open source presents challenges to practitioners and academics alike. This article explores the open source phenomenon using themes characterising postmodernism, which is particularly apt to an information-rich context such as open source. The article defines and describes open source and then examines the phenomenon using the postmodern themes of fragmentation, dedifferentiation, time and space interaction, antifoundationalism and the values of paradox, reflexivity, and pastiche. The contention is that postmodernism illuminates thinking concerning open source as a means of invention and production in the information age, just as modernism illuminated thinking in the traditional approaches to physical invention and production in the industrial age.