Strategic Decisions of New Technology Adoption under Asymmetric Information: A Game‐Theoretic Model*

In this paper we explore strategic decision making in new technology adoption by using economic analysis. We show how asymmetric information affects firms' decisions to adopt the technology. We do so in a two‐stage game‐theoretic model where the first‐stage investment results in the acquisition of a new technology that, in the second stage, may give the firm a competitive advantage in the product market. We compare two information structures under which two competing firms have asymmetric information about the future performance (i.e., postadoption costs) of the new technology. We find that equilibrium strategies under asymmetric information are quite different from those under symmetric information. Information asymmetry leads to different incentives and strategic behaviors in the technology adoption game. In contrast to conventional wisdom, our model shows that market uncertainty may actually induce firms to act more aggressively under certain conditions. We also show that having better information is not always a good thing. These results illustrate a key departure from established decision theory.     

The Industry-Level Impact of Information Technology: An Empirical Analysis of Three Industries*

As noted by several observers, information technology (IT) has rapidly evolved from “part of the organizational overhead” into a strategic resource capable of changing patterns of competition within industries [8, p. 275]. However, while this evolution has become part of the fabric for literature exploring the strategic impact of IT, very few studies have been undertaken to determine the specific influence(s) of technology-based competition on industry structure. The development of analytical frames for capturing aspects of industry behavior provides a potentially powerful tool for evaluating the influence strategic IT initiatives may have on current bases of competition. Drawing from the theoretical disciplines of industrial economics and strategic management, this study develops a framework for analyzing longitudinal changes in industry structure. Working within this frame, the study then analyzes the nature and change of structure in three industries during and after the introduction of strategic information technology. The findings suggest that in each of these industries structural characteristics were dramatically altered subsequent to the introduction of competitive-based IT. In two of the industries (airlines and industrial chemicals), early adopters broke away from other industry participants, in effect, forming unique bases of competition. In the remaining industry (drug wholesalers), previously distinct bases of competition consolidated, resulting in a more competitive industry structure than that which existed prior to the technological innovation.     

Task-Structure Relationship of Information Systems Development Subunit: A Congruence Perspective*

Several studies have examined the influence of organizational context (e.g., organization size, environment, strategy) on information systems (IS) performance/success. But very few studies have examined IS structure, and those studies have focused on a particular element of IS structure (e.g., decentralization). Thus, the multidimensional structural configuration of IS as an organizational subunit has escaped research attention. Further, the nature of the task to be performed by the IS subunit as a contextual factor has been virtually ignored in the IS research literature. In this paper, we first develop a congruence model for the task-structure relationship in an information systems development (ISD) subunit setting. Then we test this model as a multivariate relationship followed by subordinate bivariate analyses. Analysis of data from 41 hospitals’ ISD subunits reveals that a congruence relationship between task context and the structure of an ISD subunit is present. Our findings also show that an exclusive association exists between uncertainty in the task environment and the decision-making structure. Likewise, the association between equivocality of task content and the control structure of the ISD subunit is also exclusive. Implications of these findings for decision makers and researchers are discussed.     

The Information Problems in Organizations: A Research Model for the Value of Information and Information Systems*

Growing recognition of the need for better management information system (MIS) theory and practice centers around problems with identifying the value of information and information systems in organizations. This paper addresses this issue by showing that existing theory in organizational economics and industrial organization directly relates to information problems in organizations (their nature, and their effects in terms of organization structure and performance). The paper categorizes these problems and associated theories into four distinct classes and shows that MIS research and practice can be mapped to information problems of each type. Because the economic theory pertinent to specific information problems includes the nature of the organizational response to information constraints, it also provides insight into the nature of the improvement to be realized if information constraints can be overcome. These improvements can then be interpreted as the value of the associated information systems which suggests using the resultant classification scheme to map between information problems and system value. The paper shows that this methodology provides a more appropriate level of focus than either traditional normative or business value methods, especially because many improvements have structural as well as performance consequences.     

A Resource‐Based View of Strategic IT Alignment: How Knowledge Sharing Creates Competitive Advantage

A critical decision problem for top management, and the focus of this study, is whether the CEO (chief executive officer) and CIO (chief information officer) should commit their time to formal planning with the expectation of producing an information technology (IT)‐based competitive advantage. Using the perspective of the resource‐based view, a model is presented that examines how strategic IT alignment can produce enhanced organizational strategies that yield competitive advantage. One hundred sixty‐one CIOs provided data using a postal survey. Results supported seven of the eight hypotheses. They showed that information intensity is an important antecedent to strategic IT alignment, that strategic IT alignment is best explained by multiple constructs which operationalize both process and content measures, and that alignment between the IT plan and the business plan is significantly related to the use of IT for competitive advantage. Study results raise questions about the effect of CEO participation, which appears to be the weak link in the process, and also about the perception of the CIO on the importance of CEO involvement. The paper contributes to our understanding of how knowledge sharing in the alignment process contributes to the creation of superior organizational strategies, provides a framework of the alignment‐performance relationship, and furnishes several new constructs.     

The Alignment between Organizational Critical Success Factors and Information Technology Capability in Academic Institutions*

Alignment between organizational critical success factors (CSFs) and competencies is widely believed to improve performance. This study examines the performance implications of alignment between CSFs and one source of competence, the organization's information technology (IT) capability. The effects of three antecedent factors–environmental uncertainty, integration, and IT management sophistication–are also examined. This paper uses survey data from 244 large academic institutions, along with some secondary data. Following the profile deviation approach to measure alignment, the academic institutions are divided into three clusters based on their CSFs: the academic comprehensives, the reputed giants, and the small educators. The ideal profile of IT capability is next developed for each cluster in terms of four dimensions: information retrieval, electronic communication, computing facilities for students, and computer-aided education. Alignment is then computed for each institution as the proximity of its IT capability profile from the ideal IT capability profile for the cluster to which it belongs. The results suggest that alignment facilitates both perceived IT success and organizational performance. Moreover, sophisticated IT management facilitates both alignment and perceived IT success, environmental uncertainty facilitates perceived IT success but not alignment, and integration facilitates neither alignment nor perceived IT success.     

Developing Measures for Assessing the Organizational Impact of Information Technology: A Comment on Mahmood and Soon's Paper

In a recent study, Mahmood and Soon [26] identified and operationalized a set of variables that can be potentially impacted by information technology. The lack of factor analysis to verify the dimensionality of different variables is a notable omission in the study. This paper describes and employs the limited-information factor analysis approach and the minimum average partial criterion for testing the unidimensionality of different variables in the Mahmood and Soon study. While reconfirming the construct validity of eight variables, our results question the unidimensionality of two original variables. Further testimony is provided in favor of our results by citing previous research studies.     

The Bounded Rationality Bias in Managerial Valuation of Real Options: Theory and Evidence from IT Projects*

Although real options theory normatively suggests that managers should associate real options with project value, little field research has been conducted to test whether they suffer from systematic biases in doing so. We draw on the notion of bounded rationality in managerial decision making to explore this understudied phenomenon. Using data collected from managers in 88 firms, we show that managers exhibit what we label the bounded rationality bias in their assessments: They associate real options with value only when a project's easily quantifiable benefits are low, but fail to do so when they are high. The study also contributes the first set of empirical measures for all six types of real options. The study contributes to managerial practice by identifying the conditions under which managers must be vigilant about inadvertently neglecting real options and by providing a simple approach for assessing real options in technology development projects.     

A Comprehensive Model for Measuring the Potential Impact of Information Technology on Organizational Strategic Variables*

The existing literature on the impact of information technology (IT) does not include rigorous theory building or empirical studies. This research seems to be the first comprehensive investigation towards the development of an empirically validated comprehensive model for understanding the potential impact of IT on organizational strategic variables. More specifically, organizational and industrial variables that appeared to be affected by IT are identified, measured, and operationalized in the form of a comprehensive model. This study is based on structured interviews with a carefully selected sample of 31 strategic managers who had experience using IT for strategic decisions. In addition, the variables included in the model are well grounded in the information systems literature. The variables are then empirically validated and their reliabilities critically tested. A comprehensive model is derived from these validated variables. The model is a first step towards measuring the overall potential impact of IT on an organization. The model can also be used to gauge IT's potential impact on individual strategic variables. A set of hypotheses is also presented for future research. The hypotheses primarily relate to the impact of IT on organizational strategic performance. The model provides an empirically validated foundation for testing of such hypotheses.     

A Framework for Examining the Interface between Operations and Information Systems: Implications for Research in the New Millennium*

Even though much research has been published in operations and information systems, both functional areas find their roots in other disciplines. While operations management evolved from operations research in the 1960s, the field of information systems is of more recent vintage and traces its original roots to computer science. Both disciplines now naturally have come closer together as information and process-technology-based changes force manufacturing firms to become more efficient and customer focused. Market and technology-driven e-commerce initiatives that are likely to dominate business strategies in the future cannot be successfully achieved without a successful integration of operations and information systems. In this paper, we present a unifying framework that can be used to better understand the management of the functional interface between operations and information systems. We also categorize and highlight the contributions of the articles that appear in this special research focus issue. Finally, research directions that emerge from our understanding of this interface are outlined in an effort to stimulate further thinking and research that can advance our knowledge of this interface area.     

Knowledge Management Using Information Technology: Determinants of Short‐Term Impact on Firm Value*

The importance of knowledge management (KM) processes for organizational performance is now well recognized. Seeking to better understand the short‐term impact of KM on firm value, this article focuses on public announcements of information technology (IT)‐based KM efforts, and uses cumulative abnormal return (CAR) associated with an announcement as the dependent variable. This article employs a contingency approach, arguing that the KM announcement would have a positive short‐term impact on firm value in some conditions but not in others. Thus, it pursues the following research question: What are the effects of contextual factors on the CAR associated with the announcement of an IT‐based KM effort? Specific hypotheses are proposed based on information‐processing theory, organizational learning theory, the knowledge‐based theory of the firm, and the theory of knowledge creation. These hypotheses link CARs to alignment between industry innovativeness and the KM process, alignment between firm efficiency and the KM process, firm‐specific instability, and firm diversification. The empirical study utilizes secondary data on 89 KM announcements from 1995 to 2002. The results largely support the hypotheses. Overall, this article provides empirical support for the theory‐based arguments, and helps develop a contingency framework of the effectiveness of KM efforts.     

企业战略信息管理的理论模型

企业战略信息管理是随着信息技术在企业应用的深入与发展、信息资源战略地位的凸显、电子商务的出现以及知识经济的兴起而出现的一个新的信息实践和研究领域,占据这个制高点有利于整合信息资源和信息力量,有利于制定和落实“以信息化带动工业化”的战略,有利于企业的转型和跨越式发展,从而也有利于放大信息技术、信息资源和信息人员的作用并提高其在企业中的地位。企业战略信息管理是企业信息资源管理发展的高级阶段,是制定、实施和评估企业信息战略的过程,是由相互关联的信息技术管理、信息资源管理和电子商务管理三部分组成的,关注的重点在于确立企业信息战略构架、整合企业内外部的信息资源、促进企业的转型和可持续发展、塑造学习型组织。企业战略信息管理理论也是培养高级信息管理人才特别是信息主管(CIO)不可或缺的理论支撑。     

The Relationship Between Information System Planning Sophistication and Information System Success: An Empirical Assessment*

Literature on information systems (IS) planning implicitly assumes that a sophisticated IS planning process leads to greater IS success. This paper questions the exclusive reliance on this traditional belief. Instead, because IS planning requires significant organizational resources, prior IS success is essential to convince top management of the importance of IS planning sophistication. Therefore, IS success may influence IS planning sophistication. Several theoretical arguments are advanced in support of this explanation. Data from a survey of 236 academic institutions are used to empirically assess the two alternative directions of the relationship between IS planning sophistication and IS success. Four structural models including the alternative causal directions are evaluated. Two of these models are supported. Together, they imply that for a high level of IS planning sophistication, either the previous ISs should have been successful or the organization should possess advanced information technology capabilities. Thus, empirical results suggest that the explanation presented here (i.e., IS success facilitates IS planning sophistication) provides an equally good alternative to the more traditional explanation (i.e., IS planning sophistication facilitates IS success).     

The Effectiveness of Graphical Presentation for Information Extraction: A Cumulative Experimental Approach*

Three laboratory experiments were conducted to assess the relative strengths and weaknesses of bar, symbol, and line graphs for performing a variety of elementary information extraction tasks using two dependent variables, time and accuracy. The findings indicate that the degree of support provided by a particular graph format for a particular data extraction task depends on the matching of format and task in terms of their anchoring characteristics. Anchoring, in this context, refers to the phenomenon that specific and diverse parts of a graph are segmented by the reader to act as salient and relevant cues, or anchors, when different classes of information are to be extracted from the graph. A data extraction task has high x-value (y-value) anchoring if the x-axis (y-axis) component is represented in the question as either a given value or an unknown value. Conversely, a task has low x-value (y-value) anchoring if the x-axis (y-axis) component is not represented in the question as either a given value or as an unknown value. Data extraction accuracy was not significantly affected by presentation format. Bars provided the best time performance for data extraction tasks having high anchoring on both axes but were not appropriate for tasks having low anchoring on either the y axis or both the x and y axes. Line graphs tended to be worse in terms of time performance for tasks having high anchoring on both axes although they were as fast or better than other representations for tasks having low anchoring on both axes. Symbol plots appeared to possess anchoring characteristics associated with both bars and line graphs. Symbols (as with bars) tended to produce a time performance superior to that of line graphs for tasks having high anchoring on both axes; and (as with line graphs) symbols allowed faster results than bar graphs for tasks having low anchoring on either the y axis or both the x and y axes.     

An Empirical Study of the Effect of Knowledge Management Processes at Individual,Group, and Organizational Levels*

To enhance our understanding of knowledge management, this paper focuses on a specific question: How do knowledge management processes influence perceived knowledge management effectiveness? Prior literature is used to develop the research model, including hypotheses about the effects of four knowledge management processes (internalization, externalization, socialization, and combination) on perceived individual‐level, group‐level, and organizational‐level knowledge management effectiveness. The study was conducted at the John F. Kennedy Space Center of the National Aeronautics and Space Administration using a survey of 159 individuals and two rounds of personal interviews. Structural equation modeling was performed to test measurement and structural models using the survey data. The emergent model suggests that internalization and externalization impact perceived effectiveness of individual‐level knowledge management. Socialization and combination influence perceived effectiveness of knowledge management at group and organizational levels, respectively. The results also support the expected upward impact in perceived effectiveness of knowledge management, from individual to group level, as well as from group level to organizational level. The study's limitations and implications for practice and future research are described.     

Decision Processes for Developing Strategic Applications of Information Systems: A Contingency Approach*

Strategic applications of information systems (IS) are considered by IS researchers to be determined by contextual factors such as environmental uncertainty, and influenced by attributes of the processes preceding them, such as planning and top management support. For better management of the process leading to these applications, it is essential to understand the relationship between process attributes and contextual factors. Utilizing a contingency approach, this article takes a step toward such an understanding. Based on successful strategic IS applications from 81 large companies, it examines the relationship between the context of these applications and the decision-making process leading to them. The results indicate that the external environment is related to whether a rational or political decision-making process is used. The IS function seems to influence the use of the decision process implied by IS researchers, one in which the top management champions the strategic application, while the IS managers contribute by conducting in-depth analysis. However, the organization structure was not related to any decision process attribute. The implications of these findings for future research and practice are also discussed.     

Critical Success Factors for Strategic Alliances in the Information Technology Industry: An Empirical Study*

Intense competition in the marketplace is forcing organizations to examine different ways by which they could enhance or retain their competitive edge. Strategic alliance is one such option through which an organization can leverage its resources to emerge as an effective competitor. Such alliances are burgeoning in the information technology industry, which is characterized by rapid change and short innovation cycles. Successful management of alliances has proved to be very elusive for the most part, and there is a lack of theoretical and empirical work in this area. Literature on critical factors was synthesized, and then a parsimonious set of critical factors was identified using a combination of interview and survey methodologies. Our study has implications for both practice and future research.     

Replication of Measures in Information Systems Research: The Case of IS SERVQUAL*

The Information Systems (IS) discipline should recognize potential pitfalls in replication of research studies. This response to a note appearing in this issue by Van Dyke, Prybutok, and Kappelman (1999) aims to serve two purposes. First, this note will address the problems we have with the Van Dyke et al. (1999) attempted replication of our own previous work. Second, we hope it serves to establish more generally an awareness in the IS field for the potential to create and accept the “illusion of replicability” when this has not really been established.     

The Representation and Impact of Information System Reliability on Cost Variance Decisions*

Management does not directly observe cost variance processes from the production system; instead, management depends on a report from the cost variance information system as to whether a process is in control or out of control. Unfortunately, cost variance information systems are not always perfectly reliable. Accordingly, this paper extends the cost variance analysis model to include reliability of the cost variance information system. Reliability is introduced by distinguishing between the report from the information system and the actual cost variance. Although previous cost variance models do not include reliability, management is still likely to be aware of the lack of reliability in cost variance systems. To account for this lack of reliability, management is likely to use any of a number of heuristics. This paper demonstrates that ad hoc heuristics are unlikely to result in the same solutions suggested by the analytic model. In addition, it is shown analytically that not including reliability in cost variance models can lead to examining variances that do not require investigation and not examining variances that do require investigation.