From the Publisher:
Written by the author of the best-selling HyperText & HyperMedia, this book provides an excellent guide to the methods of usability engineering. Special features: emphasizes cost-effective methods that will help developers improve their user interfaces immediately, shows you how to avoid the four most frequently listed reasons for delay in software projects, provides step-by-step information about which methods to use at various stages during the development life cycle, and offers information on the unique issues relating to informational usability. You do not need to have previous knowledge of usability to implement the methods provided, yet all of the latest research is covered.

Usability Engineering

https://link.springer.com/content/pdf/10.2307%2F3343168.pdf

Development as Freedom

The ability to detect and accurately estimate the strength of interaction effects are critical issues that are fundamental to social science research in general and IS research in particular. Within the IS discipline, a significant percentage of research has been devoted to examining the conditions and contexts under which relationships may vary, often under the general umbrella of contingency theory (cf. McKeen et al. 1994, Weill and Olson 1989). In our survey of such studies, the majority failed to either detect or provide an estimate of the effect size. In cases where effect sizes are estimated, the numbers are generally small. These results have led some researchers to question both the usefulness of contingency theory and the need to detect interaction effects (e.g., Weill and Olson 1989). This paper addresses this issue by providing a new latent variable modeling approach that can give more accurate estimates of interaction effects by accounting for the measurement error that attenuates the estimated relationships. The capacity of this approach at recovering true effects in comparison to summated regression is demonstrated in a Monte Carlo study that creates a simulated data set in which the underlying true effects are known. Analysis of a second, empirical data set is included to demonstrate the technique's use within IS theory. In this second analysis, substantial direct and interaction effects of enjoyment on electronic-mail adoption are shown to exist.

/pdf/a-partial-least-squares-latent-variable-modeling-approach-20dk7tba26.pdf

A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study

The paper motivates, presents, demonstrates in use, and evaluates a methodology for conducting design science (DS) research in information systems (IS). DS is of importance in a discipline oriented to the creation of successful artifacts. Several researchers have pioneered DS research in IS, yet over the past 15 years, little DS research has been done within the discipline. The lack of a methodology to serve as a commonly accepted framework for DS research and of a template for its presentation may have contributed to its slow adoption. The design science research methodology (DSRM) presented here incorporates principles, practices, and procedures required to carry out such research and meets three objectives: it is consistent with prior literature, it provides a nominal process model for doing DS research, and it provides a mental model for presenting and evaluating DS research in IS. The DS process includes six steps: problem identification and motivation, definition of the objectives for a solution, design and development, demonstration, evaluation, and communication. We demonstrate and evaluate the methodology by presenting four case studies in terms of the DSRM, including cases that present the design of a database to support health assessment methods, a software reuse measure, an Internet video telephony application, and an IS planning method. The designed methodology effectively satisfies the three objectives and has the potential to help aid the acceptance of DS research in the IS discipline.

A Design Science Research Methodology for Information Systems Research

The present historical moment may seem a particularly inopportune time to review Bowling Alone, Robert Putnam's latest exploration of civic decline in America. After all, the outpouring of volunteerism, solidarity, patriotism, and self-sacrifice displayed by Americans in the wake of the September 11 terrorist attacks appears to fly in the face of Putnam's central argument: that \"social capital\" -defined as \"social networks and the norms of reciprocity and trustworthiness that arise from them\" (p. 19)'has declined to dangerously low levels in America over the last three decades. However, Putnam is not fazed in the least by the recent effusion of solidarity. Quite the contrary, he sees in it the potential to \"reverse what has been a 30to 40-year steady decline in most measures of connectedness or community.\"' As an example of how the current \"war on terrorism\" could generate a durable civic renewal, Putnam points to the burst in civic practices that occurred during and after World War II, which he says \"permanently marked\" the generation that lived through it and had a \"terrific effect on American public life over the last half-century.\" 3 If Americans can follow this example and channel their current civic

Bowling alone: The collapse and revival of American community

Design research (DR) positions information technology artifacts at the core of the Information Systems discipline. However, dominant DR thinking takes a technological view of the IT artifact, paying scant attention to its shaping by the organizational context. Consequently, existing DR methods focus on building the artifact and relegate evaluation to a subsequent and separate phase. They value technological rigor at the cost of organizational relevance, and fail to recognize that the artifact emerges from interaction with the organizational context even when its initial design is guided by the researchers' intent.

We propose action design research (ADR) as a new DR method to address this problem. ADR reflects the premise that IT artifacts are ensembles shaped by the organizational context during development and use. The method conceptualizes the research process as containing the inseparable and inherently interwoven activities of building the IT artifact, intervening in the organization, and evaluating it concurrently. The essay describes the stages of ADR and associated principles that encapsulate its underlying beliefs and values. We illustrate ADR through a case of competence management at Volvo IT.

Action design research

The importance of effective training in ensuring the success of end-user computing (EUC) has been emphasized by several researchers in information systems. A vast amount of evidence from research in related areas such as educational psychology suggests that individual differences, such as learning style, may affect users learning about a new EUC software package. This article reports the findings of a series of studies that examine the influence of a novice's learning style in learning typical EUC tools such as spreadsheets and electronic mail. A consistent pattern of findings emerges that indicates that learning modes is an important predictor of learning performance, both by itself and in interaction with training methods. The findings suggest that in the design of training, it is essential to match training methods to individual difference variables. Based on these findings, guidelines are recommended for IS professionals involved in EUC training and further research directions are discussed.

The importance of learning style in end-user training

Information systems research has been criticized for having little influence on practice. One approach to achieving more relevance is to conduct research using appropriate research methods that balance the interests of both researchers and practitioners. This paper examines the similarities between two methods that address this mandate by adopting a proactive stance to investigating information systems in organizations. These two approaches, action research and design research, both directly intervene in real-world domains and effect changes in these domains. We investigate these similarities by examining exemplars of each type of research according to the criteria of the other. Our analysis reveals interesting parallels and similarities between the two, suggesting that the two approaches have much to learn from each other. Based on our analysis, we propose ways to facilitate cross-fertilization between the two approaches that we believe will be useful for both and for IS research in general.

https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1233&context=icis2005

Being proactive: where action research meets design research

In development literature, information and communications technology (ICT) has been characterized as having the potential to enable national development. However, ICT has been conceptualized mostly as a monolithic and homogeneous entity. To a great extent, the ambiguous findings and diverse opinions on the role of ICT in national development can be attributed to this limited focus. In order to better understand the role ICT can play in national development, we believe that the ICT artifact needs to be examined in finer detail. We propose that ICT needs to be conceptualized in its many facets, perceptions, and in its manifold impact in societies. We use recent concepts from the IT literature to propose an integrative framework to study the role of ICT in development. Policymakers and donor agencies may find this framework useful in evaluating the potential impact of development interventions using ICT.

Conceptualizing the ICT Artifact: Toward Understanding the Role of ICT in National Development

Although there is a strong theoretical basis for concluding that conceptual models are effective in aiding users build mental models of computer systems, very little empirical evidence exists to support such a conclusion. Frequently, the effect has been weak. Subjects trained with a conceptual model often perform better than control group subjects in learning tests, but seldom at a statistically significant level. One possible reason for this is the influence of individual differences such as basic cognitive abilities. This study examined the influence of two cognitive variables - visual ability and learning mode - in the mental model formation process of novice users of an electronic mail filing system. We compared the effectiveness of two types of conceptual models-analogical and abstract. It was found that high-visual subjects performed significantly better than low-visual subjects. Abstract learners also performed better than concrete learners.

Maung K. Sein

Papers

Action design research

The importance of learning style in end-user training

Being proactive: where action research meets design research

Conceptualizing the ICT Artifact: Toward Understanding the Role of ICT in National Development

Individual differences and conceptual models in training novice users