Venkataraman Ramesh

Research in Information Systems: An Empirical Study of Diversity in the Discipline and Its Journals

Throughout its history, the information systems (IS) discipline has engaged in extensive self-examination, particularly with regard to its apparent diversity. Our overall objective in this study is to better understand the diversity in IS research, and the extent to which diversity is universal across journals that publish IS research. We developed a classification system that comprises five key characteristics of diversity (reference discipline, level of analysis, topic, research approach, and research method) based on a review of prior literature. We then examined articles over a five-year period, from 1995 to 1999, in five journals acknowledged as the top journals of the field, at least in NorthAmerica.Analyses reveal considerable diversity in each of the key characteristics. Perhaps not surprisingly, the research approach used is more focused with most studies being conducted using hypothetico-deductive approaches, whereas reference discipline is perhaps the most diverse of the characteristics examined. An interesting finding is that IS itself emerged as a key reference discipline in the late 1990s. The Journal of Management Information Systems and Information Systems Research publish articles displaying the greatest diversity, and MIS Quarterly and Decision Sciences publish articles that focus on subsets of the field. Our research provides a foundation for addressing the direction that diversity in the IS discipline takes over time. In the shorter term, researchers can use our classification system as a guide to writing abstracts and selecting key words, and the findings of our journal analyses to determine the best outlet for their type of research.

Research in software engineering: an analysis of the literature

In this paper, we examine the state of software engineering (SE) research from the point of view of the following research questions: 1. What topics do SE researchers address? 2. What research approaches do SE researchers use? 3. What research methods do SE researchers use? 4. On what reference disciplines does SE research depend? 5. At what levels of analysis do SE researchers conduct research? To answer those questions, we examined 369 papers in six leading research journals in the SE field, answering those research questions for each paper. From that examination, we conclude that SE research is diverse regarding topic, narrow regarding research approach and method, inwardly-focused regarding reference discipline, and technically focused (as opposed to behaviorally focused) regarding level of analysis. We pass no judgment on the SE field as a result of these findings. Instead, we present them as groundwork for future SE research efforts.

An analysis of research in computing disciplines

Comparing the topics and methods of the three major subdivisions of the computing realm.

Improving information requirements determination: a cognitive perspective

Requirements determination is a critical phase of information systems development, but much evidence suggests that the process can and should be improved. Because the bulk of requirements determination occurs early in the development of a system, improvements can yield significant benefits for the entire systems development process. This paper first discusses a three-stage descriptive model of the requirements determination process. Four classes of difficulties in determining systems requirements are then used to organize and describe particular problems that occur within each stage of the process, together with the cognitive and behavioral theories that underlie them. The paper then describes techniques that can address the problems and presents theoretical considerations that analysts can use in applying the techniques to improve requirements determination.

Web and wireless site usability: understanding differences and modeling use

Recent research has presented a conceptualization, metric, and instrument based on Microsoft Usability Guidelines (MUG; see Agarwal and Venkatesh 2002). In this paper, we use MUG to further our understanding of web and wireless site use. We conducted two empirical studies among over 1,000 participants. In study 1, conducted in both the United States and Finland, we establish the generalizability of the MUG conceptualization, metric, and associated instrument from the United States to Finland. In study 2, which involved longitudinal data collection in Finland, we delved into an examination of differences in factors important in determining web versus wireless site usability. Also, in study 2, based on a follow-up survey about site use conducted 3 months after the initial survey, we found support for a model of site use that employs the MUG categories and subcategories as predictors. The MUG-based model outperformed the widely employed technology acceptance model both in terms of richness and variance explained (about 70 percent compared to 50 percent).

Understanding Conceptual Schemas: Exploring the Role of Application and IS Domain Knowledge

Although information systems (IS) problem solving involves knowledge of both the IS and application domains, little attention has been paid to the role of application domain knowledge. In this study, which is set in the context of conceptual modeling, we examine the effects of both IS and application domain knowledge on different types of schema understanding tasks: syntactic and semantic comprehension tasks and schema-based problem-solving tasks. Our thesis was that while IS domain knowledge is important in solving all such tasks, the role of application domain knowledge is contingent upon the type of understanding task under investigation. We use the theory of cognitive fit to establish theoretical differences in the role of application domain knowledge among the different types of schema understanding tasks. We hypothesize that application domain knowledge does not influence the solution of syntactic and semantic comprehension tasks for which cognitive fit exists, but does influence the solution of schema-based problem-solving tasks for which cognitive fit does not exist. To assess performance on different types of conceptual schema understanding tasks, we conducted a laboratory experiment in which participants with high- and low-IS domain knowledge responded to two equivalent conceptual schemas that represented high and low levels of application knowledge (familiar and unfamiliar application domains). As expected, we found that IS domain knowledge is important in the solution of all types of conceptual schema understanding tasks in both familiar and unfamiliar applications domains, and that the effect of application domain knowledge is contingent on task type. Our findings for the EER model were similar to those for the ER model. Given the differential effects of application domain knowledge on different types of tasks, this study highlights the importance of considering more than one application domain in designing future studies on conceptual modeling.

Research in computer science: an empirical study

In this paper, we examine the state of computer science (CS) research from the point of view of the following research questions:1.What topics do CS researchers address? 2.What research approaches do CS researchers use? 3.What research methods do CS researchers use? 4.On what reference disciplines does CS research depend? 5.At what levels of analysis do CS researchers conduct research? To answer these questions, we examined 628 papers published between 1995 and 1999 in 13 leading research journals in the CS field. Our results suggest that while CS research examines a variety of technical topics it is relatively focused in terms of the level at which research is conducted as well as the research techniques used. Further, CS research seldom relies on work outside the discipline for its theoretical foundations. We present our findings as an evaluation of the state of current research and as groundwork for future CS research efforts.

When culture and style aren't about clothes: perceptions of task-technology "fit" in global virtual teams

The rise of the virtual organization in response to global competition and advances in technology has led to the deployment of global virtual teams. Global virtual teams are increasingly commonplace when team members are geographically dispersed and as travel budgets are cut. A global virtual team can be described as a culturally diverse, geographically dispersed, and electronically communicating work group. Virtual teams and the technologies that support them promise the flexibility, responsiveness, lower costs, and improved resource utilization necessary to compete. There is a need for research on how to make virtual teams work effectively when the central medium of the teams process is technology. In this paper, we will explore how cultural tendencies, specifically country-of-origin differences relate to communication styles and how these may influence perceptions of task-technology fit by members of global virtual teams.

Human Factors Research on Data Modeling: A Review of Prior Research, An Extended Framework and Future Research Directions

This study reviews and synthesizes human factors research on conceptual data modeling. In addition to analyzing the variables used in earlier studies and summarizing the results of this stream of research, we propose a new framework to help with future efforts in this area. The study finds that prior research has focused on issues that are relevant when conceptual models are used for communication between systems analysts and developers (Analyst – Developer models) whereas the issues important for models that are used to facilitate communication between analysts and users (User – Analyst models) have received little attention and, hence, require a significantly stronger role in future research. In addition, we emphasize the importance of building a strong theoretical foundation and using it to guide future empirical work in this area.

The object-oriented team: Lessons for virtual teams from global software development

We investigated coordination and communication processes in global virtual software development teams in three Indian multinational technology firms. While some of the teams in our study experienced many of the same things observed in prior research, some operated in strikingly different ways, so different, in fact, that they led us to propose a new type of organization for global virtual teams: the object-oriented team. In contrast to the traditional virtual team approach which strives to tightly couple team members through information rich media such as face-to-face and telephone communication, the object-oriented team strives to decouple team members through the use of well defined processes and semantically rich media that clarify, extend and constrain meaning. The set of principles embodied ire the object-oriented team we believe may be applicable to many types of virtual teams, especially larger teams facing complex problems.