Adapt fast or die slowly: Complex adaptive business models at Cisco Systems

Industrial high-tech markets are characterized by profound levels of market and technological uncertainty and so firms herein must navigate extraordinarily dynamic and fast-moving environments. In such settings, traditional top-down modes of strategic planning are ill-suited to generate the flexibility and speed of change necessary for firms to maintain environmental fitness over time. Survival requires that significant decision-making powers necessarily be located on the operational periphery of the firm. To understand how the resultant multiplicity of micro-strategizing and decision-making might engender macro-level change(s) to business models, we conduct a cross-sectional case study of two business models at Cisco Systems. After problematizing two broad strands of extant theory, we conjecture that a rival theory – complexity theory – might allow us to better explain how Cisco's business models evolve in practice and we utilize our case study to test this conjecture. We find that the business models studied have the capacity to change themselves spontaneously and autonomously from executive-led decisions in response to external stimuli. We offer a novel theoretical insight by postulating the existence of complex adaptive business models and we advance knowledge in a way that is useful for practitioners by suggesting they perceive themselves as facilitators and orchestrators of business models rather than owners or even controllers of them.     

Critical Technology Management Issues of New Product Development in High-Tech Companies

This article reports the results of a study of management of technology issues (unresolved technology management problems) in the new product development (NPD) processes of high-tech product companies. Using a three-questionnaire DELPHI methodology that includes academic and industry participants, the study ranks 24 technology management issues of NPD in terms of importance. A dominant "Number One Issue" is identified as Strategic Planning for Technology Products.     

Decision models in global supply chain management

Integrative decision making is key to effective supply chain management (SCM). This article examines five illustrative supply chain decision models that demonstrate the importance of integrating the decisions across the supply chain. The models that are discussed illustrate the diversity of analytical approaches and their usefulness in managing global supply chain issues. The paper identifies potential areas of additional research where analytical modeling can generate useful insights. The paper also presents a short categorization of decision models from literature.     

Asian Management Research: Frontiers and Challenges

It is an appropriate time to examine the current achievements and the potential of Asian management research in shaping the body of management knowledge. The papers in this Special Issue examine the theoretical development and conceptualization of Asian management research and identify promising areas for future research. The papers summarize key research trends in several management areas and provide a critical analysis of what has been achieved, what is lacking, and what can be done in future studies. They argue, collectively, that it is fruitful to address some Asian phenomenon and generate theory for global-relevant issues. It is also meaningful to use Asian-developed constructs to study local and global issues. However, there are urgent needs for the development and validation of new constructs, designing measures and innovative methodology for conducting empirical studies, and linking the Asian-based issues and concepts to current scholarly conversations.     

New Product Team Decision Making: Regulatory Focus Effects on Number,Type, and Timing Decisions*

Company executives rely on new product development teams to carry out their directives and make decisions according to management's goals. However, team members bring their own motivational perspectives to strategic decisions. This research examines how individual and leadership motivations influence a dyadic team's new product decisions. Specifically, this article investigates how matching vs. mismatched motivations between team members affect new product number, type, and timing decisions. In addition, this study asks how effective leadership‐provided motivations are in guiding teams' new product decisions. A set of hypotheses is developed using regulatory focus theory, which identifies basic motivational differences in individuals (i.e., promotion vs. prevention focus) and their effects on decision making. The hypotheses examine the effects of regulatory focus match vs. mismatch within teams on the likelihood to introduce new products, the timing of new product introductions, and the types of new products introduced. To test the hypotheses, a controlled, yet realistic product management simulation is employed. A total of 124 undergraduate seniors (83 women and 41 men) at a large public university enrolled in a marketing management capstone course participated in this study for partial course credit. Utilizing two‐person teams engaged in a business simulation ensured an appropriate level of controlled complexity in the decision making task, while allowing the phenomena of interest to be isolated and tested. Results show that when dyads share the same motivational approach (regulatory focus match), leadership‐prescribed goal pursuit strategies are largely ineffective. Only dyads that do not share the same motivational approach to decision making (regulatory focus mismatch) make new product decisions consistent with leadership‐prescribed goal pursuit strategies. For regulatory focus match dyads, the results demonstrate that a promotion focus (when compared to a prevention focus) leads to greater numbers of new products introduced, faster new product introductions, and more novel new product introductions. For new product managers, these results carry important implications. Which new product opportunities to invest in and which to forgo is presumably determined by the strategic direction given to teams by top management. Results suggest that when team members share the same motivational approach, this not only influences new product decisions, but also diminishes or eliminates the influence top management can exert on new product decisions. Such “isolation” from leadership influences does not have to be detrimental. For example, companies that seek to insulate new product development teams from influences from the top, such as is the case in many new venture incubations, would be well served to staff those teams ensuring a promotion focus match.     

Bridging the chasm between survey and case study research: Research methods for achieving generalization, accuracy, and complexity

This article describes how behavioral science research methods that management and marketing scholars apply in studying processes involving decisions and organizational outcomes relate to three principal research objectives: fulfilling generality of findings, achieving accuracy of process actions and outcomes, and capturing complexity of nuances and conditions. The article's unique contribution is in advocating and describing the possibilities of researchers replacing Thorngate's (1976) “postulate of commensurate complexity” - it is impossible for a theory of social behavior to be simultaneously general, accurate, and simple and as a result organizational theorists inevitably have to make tradeoffs in their theory development - with a new postulate of disproportionate achievement. This new postulate proposes the possibilities and advocates the building and testing of useful process models that achieve all three principal research objectives. Rather than assuming the stance that a researcher must make tradeoffs that permit achieving any two, but not all three, principal research objectives as Weick (1979) clock analogy shows, this article advocates embracing a property space (a three-dimensional box rather than a clock) view of research objectives and research methods. Tradeoffs need not be made; having-your-cake-and-eating-it-too is possible. The article includes a brief review of principal criticisms that case study researchers often express of surveys of respondents using fixed-point surveys. Likewise, the article reviews principal criticisms of case study research studies that researchers who favor the use of fixed-point surveys express.     

Project Management Characteristics and New Product Survival

We develop a conceptual model of new product development (NPD) based on seminal and review articles in order to answer the question, “What project management characteristics will foster the development of new products that are more likely to survive in the marketplace?” Our model adopts Ruekert and Walker's theoretical framework of situational dimensions, structural/process dimensions, and outcome dimensions as an underlying structure. We conceptualize their situational dimensions more narrowly as project management dimensions, allowing us to examine more specifically how project management practices affect the NPD process. In our model, project management dimensions include project manager style, project manager skills, and senior management support. Structural/process dimensions include cross‐functional integration and planning proficiency. Outcome dimensions include process proficiency and new product survival. Our empirical analysis finds support for 20 hypotheses, a reversal of one hypothesis, and nonsignificant results for one hypothesis. These results show that projects are best led by managers with strong technical, marketing, and management skills, using a participative style and enjoying early and continuous support from senior management. These project management dimensions promote cross‐functional integration and planning, which are important to process proficiency and new product survival. Our study suggests two broad conclusions. First, it confirms the links in the extant literature between situational (project management) dimensions, structural/process dimensions, and outcome dimensions in NPD. Second, firms can improve cross‐functional integration and planning through various project management practices. Generally, we find that firms interested in improving both proficiency in their development process and the survival rate of new products should take steps to promote cross‐functional integration and to improve their planning processes. While the linkage between cross‐functional integration and NPD outcomes is well established in the literature, the impact of the planning process on NPD outcomes is a research area ripe with opportunity. Our study highlights three aspects of planning that contribute to NPD outcomes. Plans should be detailed, team members should participate actively in the planning process, and teams should be given flexibility and autonomy to respond to unanticipated issues as they appear.     

New Product Portfolio Management Decisions: Antecedents and Consequences

This research employs organizational information processing theory to propose and examine the antecedents and consequences of new product portfolio management (NPPM) decisions. Understanding NPPM decisions is an important research area because these decisions affect firm profitability but are difficult to make because of limited reliable information. Recent survey results of Product Development and Management Association members and other NPPM professionals suggest nearly half of initial new product ideas are chosen to advance through the new product development (NPD) pipeline via informal processes. Thus, managers wield considerable influence in NPPM. Yet only limited research quantitatively examines how NPPM decisions impact performance and the role of manager dispositions. Using as the research context a marketing simulation exercise conducted with mid‐level managers, this research reveals important insights into the impact of the three NPPM dimensions—value maximization, balance, and strategic fit—on NPD and firm performance. The analysis suggests a critical role for the NPPM dimension of balance as it is the single dimension impacting performance. However, value maximization is relevant as a criterion for competing because, overall, managers see this dimension as important. At the same time, managers are cautioned in their use of strategic fit as it appears this dimension may constrain innovative choices. Furthermore, three manager dispositions proposed from organizational information processing theory—directive leadership style, need for cognition, and risk perceptions—all influence NPPM dimensions. Managers are recommended to consider the personality traits of managers involved in NPPM decisions to ensure thorough consideration of all dimensions.     

Lean Launch: Managing Product Introduction Risk Through Response-Based Logistics

New product launch research has identified four strategic issues that involve activities essential to introduce a new product to its target market. The sum of these decisions is critical to new product success. Substantial research has focused on decisions guiding the proper product, price, and promotion mix to favorably impact market goals. Considerably less research has centered on determining how place capabilities such as logistics and supply chain relationships impact launch performance. Logistics and supply chain collaboration—the processes involved in planning, implementing, and controlling the efficient, effective flow and storage of goods, services, and related information from the point of origin to point of consumption for the purpose of conforming to customer requirements—can greatly reduce risk associated with new product launch. They combine to provide a structure to facilitate rapid response to developing demand by location and intensity. In this article, an effort is made to fill the gap in extant knowledge regarding new product launch strategies by reviewing relevant literature and comparing traditional launch strategies based on anticipatory demand forecasts with alternative lean launch strategies based on the principles of response-based logistics. The result is a lean launch model for continued empirical testing and managerial review. The article contrasts traditional logistics support of new product launch with an emerging logic called lean launch strategy. The traditional launch strategy is forecast driven and is based on anticipatory logistics (push). The lean launch strategy is formulated on principles of postponement and is based on response-based logistics (pull) and supply chain management. Response-based logistics systems provide flexibility that enables better management of inventory levels. Improved replenishment times and in-stock availability of products from a centralized inventory allows managers to rapidly react to actual demand. Lean launch enhances successful introduction by allowing greater flexibility in product variant selection while minimizing out-of-stock potential. Lean launch also can cut losses in product launch failures by reducing launch inventory exposure. Finally, lean launch can improve chances of new product success by helping limited volume technical successes achieve profitability.     

Supply network capacity planning for semiconductor manufacturing with uncertain demand and correlation in demand considerations

A semiconductor supply network involves many expensive steps, which have to be executed to serve global markets. The complexity of global capacity planning combined with the large capital expenditures to increase factory capacity makes it important to incorporate optimization methodologies for cost reduction and long-term planning. The typical view of a semiconductor supply network consists of layers for wafer fab, sort, assembly, test and demand centers. We present a two-stage stochastic integer-programming formulation to model a semiconductor supply network. The model makes strategic capacity decisions, (i.e., build factories or outsource) while accounting for the uncertainties in demand for multiple products. We use the model not only to analyze how variability in demand affects the make/buy decisions but also to investigate how the correlation between demands of different products affects these strategic decisions. Finally, we demonstrate the value of incorporating demand uncertainty into a decision-making scheme.     

Evaluating Product Plans Using Real Options

Product planning helps a company to strategically plan its current and future product platforms and offer product variants in the marketplace. Product platforming is widely touted as a successful strategy for mass customization. However, due diligence should be exercised before implementing any product platform strategy. The product planning exercise should account for future uncertainties. Traditional financial tools such as the net present value (NPV) are static since they do not compensate for any exogenous and endogenous uncertainties during the course of the project. The crux of the problem lies in the evaluation model that is used for evaluating the product planning projects. While many view uncertainties in a product planning project as problematic, it can also be viewed as a source of new opportunities. We argue that uncertainties should be an integral part of the evaluation model. If the future possibilities (or strategic options) are not considered in the evaluation model, a corporation may face a “myopic syndrome”.

In this article, we consider two important product planning decisions—platform decisions and product variant decisions. The platform decision involves strategic selection of a concept product platform from various possible alternative concept product platforms. The product variant decision involves deciding how long a company should continue to offer its current product variant in the marketplace and whether the existing product variant should be discontinued, scaled down, or scaled up with additional product features. To address the two aforementioned decisions, we developed a real options–based methodology that considers technical, project implementation, and market-related uncertainties. The proposed methodology uses a binomial and quadranomial lattice approach to build a decision tree. Product planning decisions at various decision tree nodes are evaluated using a risk-neutral option valuation methodology. We demonstrate the working of the proposed methodology using an illustrative example.     

From low- to high-tech project management

Project management is a complex activity and it involves, among other things, an attitude, style and philosophy. The main proposition of this article suggests that different projects must be approached by different managerial philosophies. The article presents a conceptual managerial classification of projects based on their technological uncertainty — specifically the newness and complexity of the technology involved. It classifies all projects into four types: lowtech, medium tech, high-tech and super high-tech, and then proceeds to describe the major differences among them.
Special attention is then paid to the 'higher' technology types — high-tech and super high-tech projects — and to the attitudes and tools that are needed for managing them. Such projects, if well executed and successful, may help improve competitive advantage and commercial position. They involve however substantial risk and high probability of failure. Several examples of super high-tech projects carried out in the past are described, and their management style discussed in light of the classification presented here. These examples include the SR-71 'Blackbird' aircraft, the 'Apollo' moon-landing program, Data General's 'Eagle' computer and NASA's program of developing the Space Shuttle.     

Knowledge-based sales management strategy and the grafting metaphor: Implications for theory and practice

An assessment of sales research reveals limited theoretical sophistication and grounding, less focus on intraorganizational issues, over emphasis on the micro (salesperson) versus the macro (sales function) aspects in sales management, and the criticality of knowledge to sales management. Although marketing literature draws on metaphors for theory development, there is very little sales management research that relies on metaphors for theory. In addition, reflecting the recent changes in the external environment, there have been several calls to research knowledge-based sales management. Therefore, this article explores knowledge grafting - a new theoretical metaphor - in the context of knowledge-based sales management. In doing so, first, we briefly overview the metaphor literature. Second, we introduce and evaluate the grafting metaphor. Third, we discuss the important issues of knowledge-based sales management. Fourth, we describe the knowledge grafting process and develop a knowledge grafting based conceptual framework in the context of sales management. Fifth, we discuss the strategic normative imperatives for practice. Finally, we conclude with a call for future research.     

The changing rationale for governance choices: Early vs. late adopters of global services sourcing

Research Summary: This article studies how the logic of firm governance choices varies as a function of the time of adoption of particular sourcing practices. Using data on the diffusion of global business services sourcing as a management practice from early experiments in the 1980s through 2011, we show that the extent to which governance choices are affected by process commoditization, availability of external service capabilities, and past governance choices depends on whether firms are early or late adopters. Findings inform research on governance choice dynamics specifically in highly diverse and evolving firm populations. Managerial Summary: This article considers how firms have chosen delivery models in global services sourcing decisions over time. Based on comprehensive data, we make two major observations. First, we find that firms that began with global services sourcing early, invested mainly in their internal sourcing capacity, while outsourcing only simple tasks to external providers, whereas firms that started later invested more in their capability to outsource various services to increasingly sophisticated suppliers. Second, we find that initial investments in internal or external sourcing capabilities have a strong effect on future choices of delivery models. This explains why, even today, firms vary greatly in how they implement global sourcing decisions, and it suggests that newcomers should learn from their own peer group rather than from highly experienced firms.     

The Effects of Environmental Turbulence on New Product Development Strategy Planning

Managers need guidance on how to cope with turbulent environments in order to improve corporate performance. Research on environmental turbulence has suggested that firms adopt a less centralized, more organic structure in dynamic, uncertain environments. Little work has been done specifically, however, on how environmental turbulence affects strategy planning for new product development (NPD). In this article, we specify a baseline model with firm innovativeness, market orientation and top management risk taking as antecedents to NPD speed and corporate strategic planning; these in turn are modeled as antecedents to NPD program (not project) performance. Two conceptualizations of the role of environmental turbulence are examined: (1) that market turbulence and technological turbulence are additional direct antecedents to NPD program performance; and (2) that the baseline model is moderated by turbulence (that is, that the strengths of the paths differ depending on levels of turbulence). A cross-sectional survey methodology including four diverse industries [automotive, electronics, publishing, and manufacturing/research and development (R&D) laboratories] was used to test the hypotheses. The latter conceptualization is supported. In particular, the paths from innovativeness to strategic planning and from risk taking to NPD speed are significantly greater in highly turbulent environments. A set of managerial recommendations and implications are provided. First, managers must recognize the possible improvements in new product performance by actively including NPD personnel in corporate strategic planning and also by involving corporate planners in NPD activities. Second, managers also should recognize that turbulent environments heighten the need to make risky investments, and sometimes, risky decisions; risk-taking decisions ought to be encouraged in such environments.     

Fuzzy logic in manufacturing: A review of literature and a specialized application

Manufacturing decisions inherently face uncertainties and imprecision. Fuzzy logic, and tools based on fuzzy logic, allow for the inclusion of uncertainties and imperfect information in decision making models, making them well suited for manufacturing decisions. In this study, we first review the progression in the use of fuzzy tools in tackling different manufacturing issues during the past two decades. We then apply fuzzy linear programming to a less emphasized, but important issue in manufacturing, namely that of product mix prioritization. The proposed algorithm, based on linear programming with fuzzy constraints and integer variables, provides several advantages to existing algorithm as it carries increased ease in understanding, in use, and provides flexibility in its application.     

Best new product development and management practices in the Korean high-tech industry

This paper investigates critical factors affecting the likelihood of new product success and effective new product development (NPD) models for Korean high-tech firms. Empirical results suggest that successful projects differ from unsuccessful projects in project environment, skills and resources, project leadership, strategic fit, efficient NPD process, and effective product-positioning strategies.This study confirmed that efficient and effective new product development and management were important determinants of high-tech firms' competitive advantage. Furthermore, the findings of this study raised questions about some commonly held beliefs when compared with Western studies focusing on high-tech industries.     

Robust analogizing and the outside view: two empirical tests of case‐based decision making

Executives use analogies to improve strategic decisions. However, existing research provides little guidance on the types and number of analogies that produce the best decisions. We examine models of analogy and present findings from two empirical tests. The first test, a study of private‐equity investment decisions, finds that an ‘outside view’—forming a reference class of analogies—performs better than a few analogies familiar to the decision maker. The second test, a study of film revenue forecasts, compares a new model we call similarity‐based forecasting (SBF) with existing methods. The study finds that SBF, which combines elements of reference class forecasting and case‐based decision making, produces better forecasts than regression models. We discuss the consequences of our findings for research and practice. Copyright © 2012 John Wiley & Sons, Ltd.     

Learning processes in municipal broadband projects: An absorptive capacity perspective

Effective knowledge management is important to the success of information technology projects. This research applies the integrated lens of the absorptive capacity theory and the social process model of information system development projects to examine the dynamic of knowledge activities concerning broadband infrastructure development in the context of municipal broadband networks. The research questions are: (1) What is the extent of the dynamic of knowledge activities involved in the development process?, (2) What are the events that trigger knowledge activities in municipal broadband development?, and (3) How does a city create and utilize new knowledge in the development process? This study examines municipal wireless projects in three cities (Chaska, MN; Hermosa Beach, CA; and Fredericton, Canada). Events that trigger knowledge activities are assignment of personnel, physical system construction, performance problems, resistance, and reassignment of organizational roles. Four factors that influence knowledge activities and project performance are the dynamic of technology development, partnership commitments, limitation of external knowledge and learning-by-doing, and political dynamics. The study has policy implications for cities that are in the process of planning and deployment. A good project planning, user expectation management, systematic performance evaluation, a careful partner selection process, and the use of service level agreements are important to project success. In addition, cities need to take into consideration that the technology is not a plug and play technology and that considerable efforts are needed to integrate the technology with other solutions to deliver broadband services as well as to configure the system according to topologies, street conditions, buildings, density of trees, among others.     

The Use of Semi-Probabilistic Grading to Motivate Decision Analysis Students

The problem of determining cost minimum cutting conditions for machine tools is a classic problem In manufacturing economics. Recent interest In automated process planning has led researchers to examine ways to incorporate these calculations into the protean planning software. In this paper we examine the choice of cost parameters traditionally used in theBe models and argue that they have, in general, been incorrectly specified.