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Human lab experiments have become an established method in information systems research for investigating user behavior, perception and even neurophysiology. The purpose of this paper is to facilitate experimental research by providing a practical guide on how to implement and conduct lab experiments in the freely available experimental platform Brownie.

Laying the groundwork of the tutorial, the paper first provides a brief overview of common design considerations for lab experiments and a generic session framework. Building on the use case of the widely used trust game, the paper then covers the different stages involved in running an experimental session and maps the conceptual elements of the study design to the implementation of the experimental software.

The paper generates findings on how computerized lab experiments can be designed and implemented. Furthermore, it maps out the design considerations an experimenter may take into account when implementing an experiment and organizing it along a session structure (e.g. participant instructions, individual and group interaction, state and trait questionnaires).

The paper reduces barriers for researchers to engage in experiment implementation and replication by providing a step-by-step tutorial for the design and implementation of human lab experiments.

The purpose of this paper is to describe a computer‐assisted learning experience in operations management (OM) higher education that entailed the development of interactive learning software, its evaluation in an experimental environment and the formal analysis of the teaching method's influence on student perceptions.

The software design follows the constructivist focus based on widely‐accepted educational technology principles. Objective tests of knowledge and subjective appraisal of the learning process were used in the experiment to compare two educational scenarios (computer‐assisted learning and on‐site class). Students' perceptions of the software's technical and teaching features are also analyzed.

The study shows that the teaching method can significantly affect students' perceptions of the learning process. The findings also confirm the pedagogical effectiveness of the software that was designed and that information communication technologies (ICT)‐based methods are an alternative to traditional methods used in OM education.

The experiment involved strict control over various potential threats to validity. From a statistical point‐of‐view, the conclusions can only be generalized in the population analyzed. Nevertheless, the features of the software and the student profile allow the main conclusions to be generalized to other OM environments.

The use and evaluation of interactive software in OM educational environments are reflected on, with emphasis on the influence that the teaching methodology has on students' attitudes to the learning process. It is of interest for researchers interested in improving teaching through the use of ICT.

There are very few studies on interactive self‐learning software for OM and its effects on student perceptions. This paper is a new contribution to this field.

We examine the effect of peer honesty on focal manager honesty in a budget reporting setting. We disclose peer honesty to the focal manager at three levels: no, partial, and full disclosure of the reporting behavior of the other managers in the focal managers’ cohort. In partial disclosure, only the reports of the least honest peers are disclosed to the focal manager. In full disclosure, all managers’ reports in the cohort are disclosed to the focal manager. We predict and find that disclosure of other managers’ reports leads to less honesty compared to the absence of disclosure. We show that disclosure changes the focal manager’s perceptions of what constitutes acceptable reporting behavior, such that reporting more dishonestly becomes more acceptable. Our results have implications for understanding fraud dynamics and have practical implications for the design of control systems, as they suggest that managers will use peer dishonesty to justify their own dishonesty, even when they know that only some of their peers report dishonestly.

EEVL, the Edinburgh Engineering Virtual Library, is a gateway to engineering information on the Internet. After a brief outline of the need for such a gateway and the background to the EEVL project, this article looks at certain similarities and differences in the development of EEVL and various other subject based information gateways (SBIGs) such as ADAM, SOSIG, and OMNI, and similar services such as BUBL. EEVL’s present situation and future prospects are outlined.

This study aims to identify user perception of different qualities of optical character recognition (OCR) in texts. The purpose of this paper is to study the effect of different quality OCR on users' subjective perception through an interactive information retrieval task with a collection of one digitized historical Finnish newspaper.

This study is based on the simulated work task model used in interactive information retrieval. Thirty-two users made searches to an article collection of Finnish newspaper Uusi Suometar 1869–1918 which consists of ca. 1.45 million autosegmented articles. The article search database had two versions of each article with different quality OCR. Each user performed six pre-formulated and six self-formulated short queries and evaluated subjectively the top 10 results using a graded relevance scale of 0–3. Users were not informed about the OCR quality differences of the otherwise identical articles.

The main result of the study is that improved OCR quality affects subjective user perception of historical newspaper articles positively: higher relevance scores are given to better-quality texts.

To the best of the authors’ knowledge, this simulated interactive work task experiment is the first one showing empirically that users' subjective relevance assessments are affected by a change in the quality of an optically read text.

Compares experimental (eg. prototyping) and analytical (eg. specifying) approaches in systems design. Derives ′The Principle of Limited Reduction′. Defines this as: “Relying on an analytical mode of operation to reduce complexity introduces new sources of uncertainty requiring experimental countermeasures; relying on an experimental mode of operation to reduce complexity introduces new sources of uncertainty requiring analytical countermeasures”. Concludes that a mixed approach is best, but warns that this is as yet (1992) hypothetical.

Reports on a project to create a new infrastructure for experimental economics and sociology by connecting cutting edge research to Web‐based software development. The project will build and maintain an active Web site of highly flexible modular architecture for theoretically‐driven experimentation. The Web site, itself a laboratory, fundamentally advances experimental study, automatically records and archives data, and maintains electronic journals. To increase the integrity and effectiveness of social science knowledge acquisition, the Web site will support replications while creating large and systematic databases. The Web‐lab’s goal is to change social science investigation by allowing experiments to be run using subjects from large and diverse populations. The Web‐lab will democratize experimental research; a local laboratory will need no more than a few computers with access to the Web. Using designs at the Web‐lab, extensive laboratory components will be developed for mainstream graduate and undergraduate social science courses.

Reinterprets data from an empirical study conducted in 1987 – the Nick Experiment – concerned with the interaction between technology, team and task. Combines data with anecdotal evidence. Reports gains in meetings quality and effectiveness. Comments on the potential effectiveness of the messaging facility on the electronic workstations and the electronic blackboard. Comments strongly on the value of field experiments and case studies – as opposed to controlled experiments – to obtain realistic data.

The purpose of this paper is to explore the important and distinctly under‐researched topic of first customer references, for which a basic descriptive framework is created. The paper also tests the framework, validating it by means of new insights obtained from a longitudinal case study.

The present work is an embedded single longitudinal case study with two levels of analysis units: the company and its customers. Pattern‐matching logic and time‐series analyses are used. The idea is to compare the observed patterns with those introduced through the basic descriptive framework. Each case is analyzed, after which a cross‐case analysis is conducted over the specified time horizon. Programming theory is used to describe the iterative nature of the phenomenon of market entry, although natural language is used instead of formal notation.

The longitudinal case study demonstrates various operational aspects of the framework in practice. The study indicates the correct business operations setup model after each customer case. The case study generally reveals, from the perspective of competence marketing, that there are no failed customer cases if experimental knowledge has been gained.

In order to evaluate capabilities of start‐up technology companies to enter the market, all customer cases should be evaluated, even the failed ones. Successful customer references may provide only a partial picture of the gained capabilities.

This paper explores the important and distinctly under‐researched topic of first customer references, for which a basic descriptive framework is created and will be of interest to companies trying to enter the very competitive business‐to‐business market for complex products.

Economics laboratories have become the primary locations of experimental economics research by the 1990s. They were a result of a decade long development from ad hoc opportune places to dedicated, purpose designed spaces. The distinctive feature of the economics laboratory and its key instrument became networked computers running custom-built software. However, the history of the economics laboratory is not just a history of evolving technology. I argue in this article that it is mainly a history of learning how to build an experimental economics community. Only a functioning community was able to change a physical place to a laboratory space. The distinction between place and space originates in the work of Michael de Certeau and I use it to analyze the evolution of economics laboratories. To this end, I analyze the case of Austin Hoggatt’s Management Science Laboratory at Berkeley in the 1960s as it illustrates the indispensability of creating a community centered on the laboratory. In contrast, the laboratories in Arizona and at Caltech since the 1980s, and in Amsterdam since the 1990s have become successful spaces, because, unlike Hoggatt, they focused equally on community building as on infrastructure and technology. This gave rise to social infrastructure and division of labor in the laboratory space.