Search results

The paper provides an overview of research published in the innovation and operations management (IOM) literature on 15 methods for cost management in new product development, and it provides a comparison to an earlier review of the management accounting (MA) literature (Wouters & Morales, 2014).

This structured literature search covers papers published in 23 journals in IOM in the period 1990–2014.

The search yielded a sample of 208 unique papers with 275 results (one paper could refer to multiple cost management methods). The top 3 methods are modular design, component commonality, and product platforms, with 115 results (42%) together. In the MA literature, these three methods accounted for 29%, but target costing was the most researched cost management method by far (26%). Simulation is the most frequently used research method in the IOM literature, whereas this was averagely used in the MA literature; qualitative studies were the most frequently used research method in the MA literature, whereas this was averagely used in the IOM literature. We found a lot of papers presenting practical approaches or decision models as a further development of a particular cost management method, which is a clear difference from the MA literature.

This review focused on the same cost management methods, and future research could also consider other cost management methods which are likely to be more important in the IOM literature compared to the MA literature. Future research could also investigate innovative cost management practices in more detail through longitudinal case studies.

This review of research on methods for cost management published outside the MA literature provides an overview for MA researchers. It highlights key differences between both literatures in their research of the same cost management methods.

Quality Function Deployment (QFD) proposes to take into account the “voice of the customer,” through a list of customer needs, which are (qualitatively) mapped to technical requirements in House One. But customers do not perceive products in this space, nor do they not make purchase decisions in this space. Marketing specialists use statistical models to map between a simpler space of customer perceptions and the long and detailed list of needs. For automobiles, for example, the main axes in perceptual space might be categories such as luxury, performance, sport, and utility. A product’s position on these few axes determines the detailed customer requirements consistent with the automobiles’ position such as interior volume, gauges and accessories, seating type, fuel economy, door height, horsepower, interior noise level, seating capacity, paint colors, trim, and so forth. Statistical models such as factor analysis and principal components analysis are used to describe the mapping between these spaces, which we call House Zero.

This paper focus on House One. Two important steps of the product development process using House One are: (1) setting technical targets; (2) identifying the inherent tradeoffs in a design including a position of merit. Utility functions are used to determine feature preferences for a product. Conjoint analysis is used to capture the product preference and potential market share. Linear interpolation and the slope point formula are used to determine other points of customer needs. This research draws from the formal mapping concepts developed by Nam Suh and the qualitative maps of quality function deployment, to present unified information and mapping paradigm for concurrent product/process design. This approach is the virtual integrated design method that is tested upon data from a business design problem.

This chapter reports on a longitudinal quasi-experimental field study within an organizational design of a global consumer products manufacturer moving toward high-performance work systems (HPWSs) in North America by integrating business centers and self-directed work teams (SDWTs) coupled with 13 other action-levers within an integrated and bundled high-performance organizations (HPOs) re-design. The results of this organizational design effort are assessed using different types and levels of organizational outcomes (hard record data, behavioral, and attitudinal measures) along a 5-year temporal dimension punctuated by multiple time periods (baseline, during, and after). The organization, which was “built to change” (Lawler & Worley, 2006), in this research had already highly superior or “exemplar” (Collins, 2001) levels of organizational performance. Consequently, the real research question becomes: “What effect does state of the art organizational design and development have on an exemplar organization?” The study also calls into question the field's ability to truly assess exemplar organizations with existing measures of organizational change and development.

Over the past few years, mathematical and computational models of organizations have attracted a great deal of interest in various fields of scientific research (see Lin & Carley, 1993 for review). The mathematical models have focused on the problem of quantifying the structural (mis)match between organizations and their tasks. The notion of structural congruence has been generalized from the problem of optimizing distributed decision-making in structured decision networks (Pete, Pattipati, Levchuk, & Kleinman, 1998) to the multi-objective optimization problem of designing optimal organizational structures to complete a mission, while minimizing a set of criteria (Levchuk, Pattipati, Curry, & Shakeri, 1996, 1997, 1998). As computational models of decision-making in organizations began to emerge (see Carley & Svoboda, 1996; Carley, 1998; Vincke, 1992), the study of social networks (SSN) continued to focus on examining a network structure and its impact on individual, group, and organizational behavior (Wellman & Berkowitz, 1988). Most models, developed under the SSN, combined formal and informal structures when representing organizations as architectures (e.g., see Levitt et al., 1994; Carley & Svoboda, 1996). In addition, a large number of measures of structure and of the individual positions within the structure have been developed (Roberts, 1979; Scott, 1981; Wasserman & Faust, 1994; Wellman, 1991).

In this paper we extend established concepts of product and process architectures to propose a concept of organization architecture that defines the essential features of the system design of an organization needed to achieve an effective strategic alignment of an organization with its competitive and/or cooperative environment. Adopting a work process view of organization, we draw on concepts of product and process architectures to elaborate fundamental elements in the design of an organization architecture. We suggest that organization architectures may be designed to support four basic types of change in organization resources, capabilities, and coordination, which we characterize as convergence, reconfiguration, absorptive integration, and architectural transformation. We also suggest the kinds of strategic flexibilities that an organization must have to create and implement each type of organization architecture. We identify four basic types of strategic environments and consider the kinds of changes in resources, capabilities, and coordination that need to be designed into an organization's architecture to maintain effective strategic alignment with its type of environment. We then propose a typology that identifies four basic ways in which organizational architectures may be effectively aligned with strategic environments. Extending the reasoning underlying the proposed alignments of organization architectures with strategic environments, we propose a strategic principle of architectural isomorphism, which holds that maintaining effective strategic alignment of an organization with its environment requires achieving isomorphism across a firm's product, process, and organization architectures. We conclude by considering some implications of the analyses undertaken here for competence theory, general and mid-range strategy theory, and organization theory.

Health-care systems currently face great challenges, including an increasing elderly population. To respond to this problem, a hospital emergency department, three municipalities, and self-employed general practitioners in Denmark decided to collaborate with the aim of reorganizing treatment of elderly acute ill patients. By establishing a small-scale collaborative community and through an action research process, we show, how to jointly explore and develop a new organization design for in-home hospital treatment that enables the health professionals to collaborate in new ways, and at the same time to investigate and improve this cocreation process and codesign of knowledge among multiple different stakeholders.

Designing with a positive lens is inspired by positive psychology, which turns attention away from the treatment of dysfunctions and toward the encouragement of human strengths. I present a positive design method that is inspired by Appreciative Inquiry and draws on a comprehensive theory of design from sculpture. By incorporating a comprehensive theory of sculpture as a guide for designing with a positive lens, we can take advantage of design lessons from the arts, and strengthen the positive design movement in all stages of the design development process. From a theory of sculpture we see that designing includes forming. Forming, in turn, always involves two opposed energies, which can be thought of as a warm and a cold, or an inside and an outside, force. By using a theory of sculpture to guide designing with a positive lens, we reframe our attempts to create new information and organization designs so as to make them achievable even though the positive designer is not an artist. Design thinking and design processes based on a theory of sculpture can ease our dependence on artistic creativity and expand the organizational impact of a positive lens.