ICTs) are reshaping many industries, often by reshaping how information is shared. Informationintensive industries, by their nature, show the greatest impacts due to ICTs that enable information sharing and the bypassing of traditional information intermediaries. However, while the effects and uses of ICT are often associated with organizations (and industries), their use occurs at the individual level. In other words, it is changes to individual work related to the use of ICTs that reshape both organization and industry structures, and vice versa. To explore the relationships between individual uses of ICT and changes to organization and industry structures, we examined the residential real estate industry. Real estate is a revelatory industry for the study of ICT uses because it is information-intensive and realtors are information intermediaries between buyers and sellers. As agents, buyers and sellers increase their uses of ICT, they also change how they approach their daily work. We use structuration theory to provide an analytic perspective within this setting.

We are exploring how ICT use affects the work lives of real estate agents, the process of selling/buying houses and the overall structure of the residential real estate industry. Earlier stages of our work involved intensive field research on how real estate agents use ICT. In this paper, we report on the design and analysis of a pilot survey of 868 agents intended to investigate their ICT use more generally. Analysis of the 153 responses to this survey sheds light on how ICT use supports information control, enables process support, and helps agents to extend and maintain their social capital. (100 words) 3 Evidence from the residential real estate industry For the past three years, we have been studying the use of information and communications technologies (ICT) in the residential real estate industry. Through this project we seek to understand how the pervasive use of ICT in the real estate industry changes the way people and organizations in that industry work. Our overall research project has three specific objectives: 1. Describe how the use of ICT changes the ways individual knowledge workers conduct their work. 2. Describe organizational and industrial changes related to the use of ICT.

this document to reflect that ordering

In order to create Internet standards, people and ideas move across many institutions. By drawing upon the new institutionalism and on organizational ecology, we develop an ecological approach to studying this movement. The approach examines the birth and death of standards bodies and the ideas they cultivate. We apply the approach to the history of Web services choreography standards, in which over 500 participants traversed nine institutions during a 12-year period. We explain critical aspects of this history by analyzing patterns of movement of standardization ideas. We show that standard-making institutions refuse to legitimate standards by utilizing bylaws which reflect the values of the 1 Kalle Lyytinen was the accepting senior editor for this paper. Paul Edwards was the associate reviewer. Jeremy Birnholtz and Robin Williams served as reviewers. institution; these values reflect the design legacy of the Internet. We formulate conjectures about the dynamics of the birth and death of working groups inside larger institutions that form a population ecology. We discuss plausible explanations for why specific Internet standard-making efforts do not resolve quickly. The theoretical implication of the study is that an ecological approach will apply well to inventions that have been incubated, such as the Internet. The pragmatic implication is that changes to institutional Internet governance, particularly to the bylaws of standards bodies, can have drastic and unintended effects that will reshape the standard-making ecology.

This article collects and analyzes seventy-six maturity model articles that have been published in leading Information Systems (IS) journals and conference proceedings during the past fifteen years. We study the IS literature on maturity models from three different perspectives: a research perspective, which is particularly relevant for scholars who are interested in the design and adoption of maturity models; a publication perspective, which reflects the interests of authors and reviewers of maturity model articles; and a practitioner‟s perspective, which is especially relevant for maturity model users and consultants. The results are interesting in several respects. From the research perspective, the Capability Maturity Model (CMM) is the most dominant foundation of past IS research on maturity

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Research on IT infrastructure investments and organizational productivity has been marked with ambiguity, evidenced by the much debated productivity paradox. Part of the ambiguity arises from a paradigmatic aggregated treatment of IT infrastructure and productivity constructs along with a disregard for contingencies and time lags. The focus in this paper is to extend the component based view to understand IT infrastructure productivity. Using a modular systems perspective, revisiting the constructs in an attempt to disaggregate them for a more detailed examination is proposed. This study adds to the body of knowledge through a holistic examination of the relationship between IT infrastructure configurations, contingencies, and organizational productivity. “The object of all science…is to co-ordinate our experiences into a logical system” Einstein (1922) 1

The role of grounded approaches has been advocated for long in IS research. However, the inherent subjectivity of such approaches and the apparent lack of a basis to validate or even replicate such research has often been the subject of debate among IS researchers. As a result, many IS researchers tend to fall back on variance-theoretic approaches to conceptualize, design and operationalize their research. In this paper, we show how a grounded approach, interpretive structural modeling (ISM), can be used to qualitatively elicit individual cognitive structures. Further, we show how it can be applied to derive the shared aspects of such a structure across many individuals. We use the well-known technology acceptance model (TAM) to demonstrate the utility of our approach. We conclude the paper by discussing the strengths and weaknesses of this approach.

In this research-in-progress paper, we investigate the fit between process and information technology (IT) and its impact on organizational process performance. A process-level fit model provides a greater understanding of enterprise IT than models focusing on group or task-level assessments. After reviewing related research, we identify and consolidate the process, task, and IT variables that have been found to be significant in influencing IT fit. Thereafter, we propose our process-technology fit (PTF) framework, which incorporates process-related, IT-related, and IT-use context variables in predicting process performance. Finally, a methodology for determining PTF is proposed. By understanding PTF, we hope to add an important dimension to explain enterprise IT usage, while helping organizations become more effective in supporting their

In this paper, we propose an integrated model that explains performance impacts of IS at the individual level. We include nature of IS use, task-technology-fit and IS use as determinants of performance impacts of IS at the individual level. Based on data from 434 respondents from different functional areas in six different organizations, we empirically validate the integrated model for an individual IS productivity application. Our results indicate that integrated model explains nearly 60% of the variance in performance impacts of IS at the individual level. Overall, the results provide support to our position that the integrated model provides a fuller understanding of performance impacts of IS at the individual level by including both task-technology-fit and nature of IS use, an aspect not addressed in the extant IS literature. The theoretical contribution of this research lies in the development of a model for performance impacts of IS that has significantly higher explanatory power than the existing models. Keywords: value, Performance impacts of IS, Nature of IS use, Task-technology-fit 1