This article discusses the research strategy of theory building from cases, particularly multiple cases. Such a strategy involves using one or more cases to create theoretical constructs, propositions, and/or midrange theory from case-based, empirical evidence. Replication logic means that each case serves as a distinct experiment that stands on its own merits as an analytic unit. The frequent use of case studies as a research strategy has given rise to some challenges that can be mitigated by the use of very precise wording and thoughtful research design.

Theory Building From Cases: Opportunities And Challenges

This paper focuses on dynamic capabilities and, more generally, the resource-based view of the firm. We argue that dynamic capabilities are a set of specific and identifiable processes such as product development, strategic decision making, and alliancing. They are neither vague nor tautological. Although dynamic capabilities are idiosyncratic in their details and path dependent in their emergence, they have significant commonalities across firms (popularly termed ‘best practice’). This suggests that they are more homogeneous, fungible, equifinal, and substitutable than is usually assumed. In moderately dynamic markets, dynamic capabilities resemble the traditional conception of routines. They are detailed, analytic, stable processes with predictable outcomes. In contrast, in high-velocity markets, they are simple, highly experiential and fragile processes with unpredictable outcomes. Finally, well-known learning mechanisms guide the evolution of dynamic capabilities. In moderately dynamic markets, the evolutionary emphasis is on variation. In high-velocity markets, it is on selection. At the level of RBV, we conclude that traditional RBV misidentifies the locus of long-term competitive advantage in dynamic markets, overemphasizes the strategic logic of leverage, and reaches a boundary condition in high-velocity markets. Copyright © 2000 John Wiley & Sons, Ltd.

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Dynamic capabilities, what are they?

This paper investigates the mechanisms through which organizations develop dynamic capabilities, defined as routinized activities directed to the development and adaptation of operating routines. It addresses the role of (1) experience accumulation, (2) knowledge articulation, and (3) knowledge codifi- cation processes in the evolution of dynamic, as well as operational, routines. The argument is made that dynamic capabilities are shaped by the coevolution of these learning mechanisms. At any point in time, firms adopt a mix of learning behaviors constituted by a semiautomatic accumulation of experience and by deliberate investments in knowledge articulation and codification activities. The relative effectiveness of these capability-building mechanisms is analyzed here as contingent upon selected features of the task to be learned, such as its frequency, homogeneity, and degree of causal ambiguity. Testable hypotheses about these effects are derived. Somewhat counterintuitive implications of the analysis include the relatively superior effectiveness of highly deliberate learning processes such as knowledge codification at lower levels of frequency and homogeneity of the organizational task, in contrast with common managerial practice.

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Deliberate Learning and the Evolution of Dynamic Capabilities

This paper combines the concept of weak ties from social network research and the notion of complex knowledge to explain the role of weak ties in sharing knowledge across organization subunits in a...

The Search-Transfer Problem: The Role of Weak Ties in Sharing Knowledge across Organization Subunits.

A central part of the innovation process concerns the way firms go about organizing search for new ideas that have commercial potential. New models of innovation have suggested that many innovative firms have changed the way they search for new ideas, adopting open search strategies that involve the use of a wide range of external actors and sources to help them achieve and sustain innovation. Using a large-scale sample of industrial firms, this paper links search strategy to innovative performance, finding that searching widely and deeply is curvilinearly (taking an inverted U-shape) related to performance. Copyright © 2005 John Wiley & Sons, Ltd.

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Open for innovation: the role of openness in explaining innovation performance among U.K. manufacturing firms

The Art of Continuous Change: Linking Complexity Theory and Time-Paced Evolution in Relentlessly Shifting Organizations

The literature on product development continues to grow. This research is varied and vibrant, yet large and fragmented. In this article we first organize the burgeoning product-development literature into three streams of research: product development as rational plan, communication web, and disciplined problem solving. Second, we synthesize research findings into a model of factors affecting the success of product development. This model highlights the distinction between process performance and product effectiveness and the importance of agents, including team members, project leaders, senior management, customers, and suppliers, whose behavior affects these outcomes. Third, we indicate potential paths for future research based on the concepts and links that are missing or not well defined in the model.

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Product development: past research, present findings, and future directions

Competing on the Edge: Strategy as Structured Chaos

Strategy at the Leading Edge features short reports on conferences, new research and experiments by academics, organizations and consultancies for all those involved in strategy and strategic management. Contributions (two hard copies and a disk) should be sent to Martin Whitehill, City University Business School, Frobisher Crescent, Barbican Centre, London EC2Y 8HB E-mail: m.whitehill@city.ac.uk.

Competing on the Edge : Strategy as Structured Chaos

Most companies change in reaction to events such as moves by the competition, shifts in technology, or new customer demands. In fairly stable markets, "event pacing" is an effective way to deal with change. But successful companies in rapidly changing, intensely competitive industries take a different approach. They change proactively, through regular deadlines. The authors call this strategy time pacing. Like a metronome, time pacing creates a rhythm to which managers can synchronize the speed and intensity of their efforts. For example, 3M dictates that 25% of its revenues every year will come from new products, Netscape introduces a new product about every six months, and Intel adds a new fabrication facility to its operations approximately every nine months. Time pacing creates a relentless sense of urgency around meeting deadlines and concentrates people on a common set of goals. Its predictability also provides people with a sense of control in otherwise chaotic markets. The authors show how companies such as Banc One, Cisco Systems, Dell Computer, Emerson Electric, Gillette, Intel, Netscape, Shiseido, and Sony implement the two essentials of time pacing. The first is managing transitions--the shift, for example, from one new-product-development project to the next. The second is setting the right rhythm for change. Companies that march to the rhythm of time pacing build momentum, and companies that effectively manage transitions sustain that momentum without missing important beats.

Shona L. Brown

Papers

The Art of Continuous Change: Linking Complexity Theory and Time-Paced Evolution in Relentlessly Shifting Organizations

Product development: past research, present findings, and future directions

Competing on the Edge: Strategy as Structured Chaos

Competing on the Edge : Strategy as Structured Chaos

Time pacing: competing in markets that won't stand still.