High‐end Encroachment Patterns of New Products

Previous research describes two key ways in which a new product may encroach on an existing market. In high‐end encroachment, the new product first sells to high‐end customers and then diffuses down‐market; in low‐end encroachment, the new product enters at the low end and encroaches up‐market. This paper focuses on high‐end encroachment, which can further be broken down into three subtypes, which are called the immediate, the new‐attribute, and the new‐market forms of high‐end encroachment. This paper makes three key contributions. First, it provides a sound theoretical underpinning for the three distinct subtypes of high‐end encroachment—a linear reservation price curve model (LRPCM) is used to establish this theoretical foundation. Second, this paper delineates and illustrates four different ways the high‐end new‐market diffusion process may progress over time. These four are: (1) the traditional type, where the new product diffuses relatively slowly and methodically over time; (2) the fad scenario, where the new product opens a new market but then fizzles out after a relatively short period of high sales; (3) the rapid diffusion outcome, where the new product opens a new market and then rapidly diffuses down‐market; and (4) the prolonged‐niche type, where the new product purposefully restricts itself to its own niche rather than diffusing down‐market. The third key contribution of this paper is to offer managerial insights into the new‐market high‐end encroachment process by discussing two short case studies; namely, a retrospective look at the introduction of the iPhone, and a prospective look at Tesla's challenges in growing the market for its electric car. With regard to the iPhone, it helps explain why Apple precipitously dropped the price of the iPhone by one third only 68 days after its introduction. With regard to Tesla, it discusses how Tesla must leverage the revenues that stem from its current high‐end pricing power. Tesla must be able to progress down the learning curve fast enough so that it can create a virtuous cycle; a cycle in which cost reductions and technology improvements lead to price reductions and increased sales, which in turn lead to further cost reductions. At the conclusion of the paper, a step‐by‐step approach is offered to aid in determining which type of encroachment should be pursued and in determining how the encroachment pattern will eventually develop. The encroachment framework and the step‐by‐step approach are intended to help managers better assess and mitigate the risks inherent with a new product introduction.     

Market Orientation and R&D Effectiveness in High‐Technology Firms: An Empirical Investigation in the Biotechnology Industry*

There seems to be lack of consensus among informed scholars about the importance a of market orientation for high‐technology firms. This paper gives a comprehensive review of existing empirical studies on the relationship between market orientation and innovation performance and pinpoints two limitations in this research stream that might be at the origin of such controversy. First, extant research often overlooked key innovation outcomes for high‐technology firms, such as those related to research and development (R&D) performance. Second, organizational conditions that can ensure an optimal integration of market knowledge in the innovation process have been less analyzed in the case of these firms. Against this background, the present study contributes to the literature by providing a test of the effect of market orientation on R&D effectiveness and the moderating role of knowledge integration in this relationship, using a sample of Italian biotechnology firms. The study's objectives are addressed in two steps. The first one consists of an in‐depth qualitative study based on semistructured interviews in five biotechnology firms. The second step consists of a follow‐up survey of 50 biotechnology firms. Results from hierarchical multiple regression analysis show that the different dimensions of a market orientation have diverse effects on R&D effectiveness of high‐technology firms: whereas interfunctional coordination has a positive main effect, the effect of customer orientation is moderated by knowledge integration, and competitor orientation has no effect on R&D effectiveness. Post hoc analyses also show two additional results involving a broader set of dependent variables. First, R&D effectiveness mediates the effects of customer orientation and interfunctional coordination on organizational performance. Second, market orientation does not appear to significantly affect R&D efficiency. The present study contributes to current literature in two main respects. First, it adds to previous work on market orientation and innovation by proposing a new dependent variable—R&D effectiveness—which offers a better perspective to understand the impact of market orientation on innovation performance in high‐technology contexts. Second, while part of the current debate on the role of market orientation in high‐tech markets seems to be polarized by positions that sustain its potential drawbacks or, on the contrary, its advantages, this study's findings on the moderating role of knowledge integration shed light on important contingency factors, such as organizational capabilities. The authors discuss the study's limitations and provide directions for future research.     

Market Vision and Market Visioning Competence: Impact on Early Performance for Radically New,High‐Tech Products*

Having the “right” market vision (MV) in new product scenarios involving high degrees of uncertainty has been shown to help firms achieve a significant competitive advantage, which can ultimately lead to superior financial results. Despite today's increased rate of radical innovation, and hence the importance of effective vision, relatively little research has been undertaken to improve our understanding of this phenomenon. The exploratory and empirical investigation undertaken herewith responds to this research gap by focusing on MV and its precursor, market visioning competence (MVC), for radically new, high‐tech products. MV is a clear and specific mental model/image that organizational members have of a desired and important product‐market for a new advanced technology, and MVC is a set of individual and organizational capabilities that enable the linking of advanced technologies to a future market opportunity. Based on samples of high‐tech firms involved in early technology developments, the measurement study indicates that five factors comprise MV (i.e., clarity, magnetism, specificity, form, and scope) and that four factors underlie MVC (i.e., networking, idea driving, proactive market orientation, and market learning tools). Structural equation modeling is used to demonstrate that MVC significantly and positively impacts MV and that each of these constructs significantly and positively influences certain aspects of early performance (EP) in new product development. This is the first empirical study to develop a comprehensive set of scales to measure these constructs and then to combine them in a model by which to examine their interrelationships.     

Information in Launch Messages: Stimulating the Adoption of New High‐Tech Consumer Products

This research investigates how the adoption of new high‐tech consumer products can be stimulated by communicating product‐related information in launch messages. In an initial pilot study, the authors find that for making an adoption decision, consumers require different types of product‐related information, i.e., technical information, financial information, and personal/social information. In three experiments, the authors then examine how adoption intention and behavior is affected by communicating these information types. The first experiment shows that communicating personal/social information results in the highest adoption intention. This effect is moderated by the way in which the information is represented in the message. Adoption intention is highest when personal/social information is communicated in an abstract manner, while financial and technical information are most effective when communicated in a concrete manner. The second experiment shows that the effects hold for actual adoption behavior. In addition, visual imagination is found to mediate these effects. In the last experiment, visual imagination is directly manipulated by thematic priming and has a direct effect on adoption behavior. The results emphasize that activating the imagination in a product‐relevant situation stimulates adoption behavior.     

The Impact of Fit Measures on the Consumer Evaluation of New Co‐Branded Products*

A popular strategy currently employed for new product introductions is co‐branding. Such a strategy allows a brand to innovate with the support of a partner brand. The present study investigates how consumers perceive a new product with two brands. Previous research focused on the logic of a brand combination by investigating the impact of the fit between both existing product categories (i.e., product‐product fit) and the fit between both brand images (i.e., brand‐brand fit) on the evaluation of a new co‐branded product. However, no study has yet focused on the relationships between both brands and their existing product categories, and the specific new product that has been developed. The present paper aims to improve the understanding of the potential benefits of co‐branding by taking the role of the new product into account. The empirical study discussed in this paper replicates and extends the model of Simonin and Ruth (1998) by adding two new measures to their model. These measures are related to the fit of both existing product categories with the new product (i.e., new‐product‐product fit) and the fit of both brand images with the new product (i.e., new‐product‐brand fit). The results from this empirical study with 210 consumers in The Netherlands show that product‐product fit, brand‐brand fit, and new‐product‐brand fit have a significant positive impact on the evaluation of a new co‐branded product. New‐product‐product fit was not significantly related to consumer evaluations. In addition, the results show that consumers prefer a new co‐branded product that can be clearly associated with one of the brands in the partnership so that it can be categorized unambiguously. This paper discusses these findings and provides implications for research and managerial practice in the important and growing field of brand‐driven innovation.     

Why Customers Value Self‐Designed Products: The Importance of Process Effort and Enjoyment*

This study analyzes which factors prompt customers to attribute value to products they design themselves using mass‐customization (MC) toolkits. The assumption that self‐design delivers superior customer value is fundamental to the concept of MC toolkits and can be found in almost any conceptual work in this field. However, spectacular failures reinforce the practical relevance of developing a deeper understanding of why and when MC toolkits generate value for customers—and when they do not. Research to date has assumed that the closer fit between the self‐designed product's characteristics and the preferences of the customer is the dominant source of value. In this research, it is asked whether the enjoyment and perceived effort of the self‐design process have an additional impact on the perceived value of self‐designed products. This question is interesting because one could argue that a rational actor would hardly be willing to pay ex post for an economic good already consumed. The hypotheses are tested on 186 participants designing their own scarves with an MC toolkit. After completing the process, they submitted binding bids for “their” products in Vickrey auctions. Therefore, real buying behavior, not merely stated intentions, is observed. The present study finds that the subjective value of a self‐designed product (i.e., one's bid in the course of the auction) is indeed impacted not only by the preference fit the customer expects it to deliver but also by (1) the process enjoyment the customer reports, (2) the interaction of preference fit and process enjoyment, and (3) the interaction of preference fit and perceived process effort. In addition to its main effect, preference fit can be interpreted as a moderator of the value‐generating effect of process evaluation: in cases where the outcome of the process is perceived as positive (high preference fit), the customer also interprets process effort as a positive accomplishment, and this positive effect adds (further) value to the product. It appears that the perception of the self‐design process as a good or bad experience is partly constructed on the basis of the outcome of the process. In the opposite case (low preference fit), effort creates a negative effect that further reduces the subjective value of the product. Likewise, process enjoyment is amplified by preference fit, although enjoyment also has a significant main effect, which means that regardless of the outcome, customers attribute higher value to a self‐designed product if they enjoy the process. In a way, this effect resembles of the classic story of Tom Sawyer and the fence, in which Tom manages to “frame” the tedious chore of whitewashing a fence as a rare opportunity—thus persuading his friends to pay him for letting them work. Manufacturers designing an MC system therefore are advised to designing MC toolkits in a way that they elicit positive affective reactions that make their customers value their work.     

High‐Performance Product Management: The Impact of Structure,Process, Competencies,and Role Definition*

Product management is one of the most important functions in marketing. Yet the product management literature has focused largely on creating successful products and has relatively little to say about creating effective product management organizations. This paper focuses on the organizational determinants of high‐performance product management at three levels: (1) the product manager as an individual; (2) the marketing processes related to product management; and (3) the organization structure and role definition. The paper identifies several key factors that potentially impact product management performance. A set of qualitative interviews is conducted to develop hypotheses related to constructs that may drive product management performance. These hypotheses are used to develop a causal model for product management performance that includes constructs related to roles and responsibilities, organization structure, and marketing processes related to product management. An empirical survey of 198 product managers from a variety of industries is conducted to test the causal model. The results of the causal model suggest that performance of a product management organization is driven by structural barriers in the organization, the quality of marketing processes, roles and responsibilities, and knowledge and competencies. The findings suggest that structural boundaries and interfaces are the biggest impediment to effective product management, followed by clarity of roles and responsibilities. The research highlights the importance of organization structure and effective human resource practices in improving product management performance.     

Exploring the Appeal of Product Design: A Grounded,Value‐Based Model of Key Design Elements and Relationships*

Product design is increasingly being recognized as an important source of sustainable competitive advantage. Until recently, the domain of design has been loosely categorized as “form and function” issues. However, as this paper will explore, product design deals with a much richer range of issues, many of which have not been considered in the marketing literature. To explore the domain and elements of design, the paper begins with two major goals: (1) to elicit the key dimensions of design and to develop an enriched language for the understanding and study of design; and (2) to integrate the design dimensions within a broader model that ties initial design goals to eventual psychological and behavioral responses from consumers. To achieve these ends, grounded theory development is used by conducting an extensive literature review, in‐depth interviews, and an interactive object elicitation technique. Drawing from this rich source of qualitative information as well as diverse literature fields, a framework is proposed for the creation of design value in consumer products. This framework not only explores the domain of design but also highlights the important elements of design that go well beyond the clichéd form and function issues. The resulting model reflects specific marketplace and organizational constraints that may help or impede the conversion of designer goals to so‐called design levers. These levers are used to convey three types of values to consumers: rational, kinesthetic, and emotional. The framework then explains how and when these different values may be perceived by the consumer. Within this framework, testable research propositions and specific directions for future design‐based research are also offered. Beyond its potential to spur marketing and new product development (NPD) management thought, the framework offered here represents a significant contribution to the field of design, which has historically been represented as a highly fragmented body of knowledge. Formalizing this framework should help overcome perhaps the largest obstacle to date to marketing‐related and NPD‐related research in this area—the lack of a detailed and consistent nomological view of the scope of design dimensions including testable linkages. Design has become an important tool that can be used by managers to develop dominant brands with lasting advantages. This research lends the NPD manager and the marketing manager better insights in into how this increasingly popular focus can be used to influence consumer behavior and firm success. “Design may be our top unexploited competitive edge.” Tom Peters, 2004 (cover review of Norman, 2004 ) “We don't have a good language to talk about [design]. In most people's vocabularies, design means veneer.… But to me, nothing could be further from the meaning of design. Design is the fundamental soul of a man‐made creation.” Steve Jobs, Apple Computers     

The Effect of Interactional Fairness on the Performance of Cross‐Functional Product Development Teams: A Multilevel Mediated Model*

Cross‐functional product development teams (CFPDTs) are receiving increasing attention as a fundamental mechanism for achieving greater interfunctional integration in the product development process. However, little is known about how team members' interactional fairness perception—fairness perception based on the quality of interpersonal treatment received from the project manager during the new product development process—affects cross‐functional communication and the performance of CFPDTs. This study examines the effects of interactional fairness on both team members' performance and team performance as a whole. It was predicted that interactional fairness in CFPDTs would significantly affect team members' task performance, both task‐ and person‐focused interpersonal citizenship behaviors, as well as team performance. Additionally, commitment would partially mediate the effects of interactional fairness on these performance outcomes. Analyzing survey responses from two student samples of CFPDTs with hierarchical linear modeling techniques, it was demonstrated that team members' task performance, interpersonal citizenship behavior, and team performance are enhanced when team members are dedicated to both the team and the project, and such dedication is fostered when project managers are fair to team members in an interpersonal way.     

Determinants of the Level of Knowledge Application: A Knowledge‐Based and Information‐Processing Perspective*

Knowledge application is of key importance in the development of successful new products. Knowledge application refers to an organization's timely response to technological change by utilizing the knowledge and technology generated into new products and processes. This study uses the knowledge‐based theory of the firm and considers its roots in the information‐processing approach to organization theory to identify and structure potential antecedents of knowledge application. This study develops four hypotheses concerning antecedents of knowledge application. The hypotheses are tested using data collected from 277 high‐technology firms. Empirical results indicate that a long‐term orientation supported by a research and development (R&D) budget, formal rewards, and information technology directly increases the level of knowledge application, while R&D co‐location indirectly increases the level of knowledge application. It is surprising to find that an increase in the level of organizational redundancy reduces the level of knowledge application. The findings also suggest that information technologies, lead‐user, and supplier networks do not appear to significantly influence organizational redundancy.     

Impact of Knowledge Type and Strategic Orientation on New Product Creativity and Advantage in High‐Technology Firms

As different types of knowledge may have different effects on new product positional advantage, knowledge portfolio management in concert with the firm's strategic orientation is indispensable for new product success. However, previous research has not dealt with the knowledge resources and strategic implementations that affect new product development (NPD). To fill in this gap, the current study focuses on two dimensions of knowledge type (knowledge complexity and knowledge tacitness) and two forms of strategic orientation (technological orientation and market orientation), which influence the positional advantages as determinants of NPD outcomes. Drawing on the resource‐based view, this study explains how these knowledge and strategic orientation variables influence new product creativity, which comprised the novel and meaningful characteristics of new products. Finally, it demonstrates how these two dimensions of new product creativity differentially provide product advantages in terms of customer satisfaction and product differentiation, which lead to superior new product performance. A conceptual framework is developed and the related hypotheses provided to incorporate the study variables and to test their relationships in a sample based on data collected from both marketing and project managers from 100 U.S. high‐technology firms. The model estimation results from path analysis demonstrate that reliance on knowledge of high tacitness harms meaningfulness, while reliance on knowledge of high complexity increases both novelty and meaningfulness of new product. As expected, market orientation and technological orientation improve the meaningfulness and novelty dimensions of the new product, respectively. New product novelty and meaningfulness are shown to enhance new product advantage in terms of product differentiation and customer satisfaction, both of which contribute to new product performance. It is also found that the combinative use of market orientation and knowledge complexity, and technological orientation and knowledge tacitness positively influence both the novelty and meaningfulness of new products. This study, using the product‐level analysis, contributes to the literature by clarifying how the firm's different knowledge properties and strategic orientations both play a role as a source of new product creativity, and how new product creativity, as a valuable and rare resource, enhances new product advantage. The study results suggest that project/product managers should increase the transferability and codifiability of unstructured knowledge by stimulating intraorganizational knowledge sharing among NPD team members, and that they should promote both technology and market‐orientated practices to fully develop creativity of new products.     

A New Method for Identifying Recombinations of Existing Knowledge Associated with High‐Impact Innovation

How existing technologies and ideas are recombined into new innovations remains an important question, particularly as the store of prior technology, art, and work expands at an increasing rate. Yet, methodologies for identifying effective recombinations remain a nascent area of research. This paper extends our previous work, which developed a network methodology for assessing a scientific article's recombinations of prior work. The methodology uses information from the entire co‐citation network of all papers recorded in the Web of Science to identify combinations of prior work that are conventional or atypical and then identifies the virtuous mix of conventional and atypical pairings associated with high impact work. Here, we summarize our prior method and findings, present new findings, and perform a case study application to the field of management science. First, the results show that despite an ever‐increasing frontier of possible new combinations of prior work, atypical combinations of prior work are becoming increasingly rare with time, while the distribution of conventional pairings is increasing with time. Second, our analyses show that with time the atypical pairings found in hit papers have a relatively stable mean rate at which they become conventional pairing. Nevertheless, the variance around the mean is growing significantly, which indicates that there is a greater tendency over time for novel pairings either to be virtually never used again or to become conventional pairings.     

Robust Testing of the Utility‐based High‐technology Product Sales Forecasting Models Proposed by Decker and Gnibba‐Yukawa (2010)

Decker and Gnibba‐Yukawa (2010) propose an elegant utility‐based model for forecasting the sales of high‐technology products and suggest that the model yields forecasts that are highly accurate. However, this finding is based on forecasts for a total of only six holdout observations shared across three products. This number of observations is insufficient for reliable inferences to be drawn about the accuracy of a method and the use of such a small data set runs counter to an accepted principle of forecast evaluation. The authors’ proposed model was tested on more extensive data and sensitivity analysis applied to the results. No evidence was found that the utility‐based model could outperform a relatively simple extrapolative model despite the much greater effort involved in applying the proposed model. In addition, the utility‐based model is only applicable for forecasting sales during a narrow interval in a product's life cycle and requires several periods of historic sales data before it can be implemented. It also depends heavily on the accurate estimates of parameters that are determined outside the model (and which may depend on difficult judgments by managers) and assumes that consumers or households will only purchase the product once between the launch date and the forecast horizon. In light of this, it is argued that the utility‐based model is likely to have limited usefulness as a sales forecasting tool.     

改进的SWOT技术在房地产企业发展战略中应用

SWOT技术主要是通过对企业所面临的内、外部因素进行分析,从而制定企业发展战略.传统的SWOT技术,侧重于对企业进行定性分析.在与层次分析法结合后对传统的SWOT技术进行了改进,侧重于对企业定量分析,提高了企业制定发展战略的科学性和准确性.以房地产企业为例,进行了详细的定量分析.     

Neo‐Rawlsian Fringes: A New Approach to Market Segmentation and New Product Development*

Prior research into the link between new product development and market segmentation has focused on two main approaches: (1) design, segment, and do limited competitive evaluation; and (2) segment first, design second. This paper proposes a third approach, which is to simultaneously design, perform segmentation according to benefit and to evaluate against competitive designs. This research uses a benefit segmentation technique based on conjoint analysis (or other techniques that relate product attributes to consumer utility) in which the segments emerge simultaneously with the design based on certain design principles or “strategies.” Herein a method is proposed to narrow down the many possible feasible designs (combinations of attributes) to a finite set and to examine the appeal of each design. Five distinct design strategies are proposed for modeling and studying competitive reaction. These include “traditional” ones such as differentiation and new ones whose fringe customers have high utility. The paper shows that these five strategies are adequate for modeling competitive reaction using simulation. Another contribution of the paper is the way competitive reaction is modeled. In generating and evaluating a design the desire herein is also to assess the defensibility of the design and include it in the evaluation criteria. These issues are addressed by decomposing the solution procedure into two phases. In the first phase, different optimal designs are created based on predefined product development strategies. In the second, these optimal designs are compared against one another with regard to market share and potential to secure market leadership. This work shows that the nature of competition as well as the variability of customer preferences are critical to how a strategy performs. This process uncovers a surprisingly robust design strategy—developing attributes such that a “lower fringe” is most satisfied—that even achieves market dominance under certain conditions. This methodology is also applied to partworth data on refrigerators, which provides a concrete example of the concepts and demonstrates results consistent with the propositions developed earlier in the paper.     

Comments on the Model Testing by Goodwin and Meeran (2012): Comparison of the Utility‐based and the Gompertz Curve Approach for High‐technology Product Sales Forecasting

Starting from a comprehensive examination of recent empirical studies focusing on consumer behavior in high‐technology markets and the resulting identification of factors probably affecting individual buying decisions as well as aggregate product sales, Decker and Gnibba‐Yukawa developed and empirically verified a utility‐based sales forecasting approach in their earlier work. Based on data for 14 consumer electronic products and using the Gompertz curve as a benchmark, Goodwin and Meeran carried out a “more extensive testing” of this proposal. However, at least from a practical point of view, the plausibility of their testing framework regarding the market potential m is not unquestionable. This paper, therefore, first discusses some theoretical aspects of both approaches by addressing issues challenged by Goodwin and Meeran, especially regarding the use of short time series and the consideration of replacement purchases. Then, the quasi‐endogenous estimation method for m favored by Goodwin and Meeran for the Gompertz curve is examined in terms of sensitivity to better understand its influence on sales forecasts, and the adequacy of the suggested range for m in the case of the approach by Decker and Gnibba‐Yukawa is investigated. In addition, the results presented in Goodwin and Meeran are considered from a more distant perspective, and possible causes of the variations in forecasting accuracy are discussed, which finally reveals that the forecasting performance of the utility‐based approach is not that “disappointing” as claimed. It provides more accurate (or at least equivalent) forecasts than the Gompertz curve approach in 64% of the cases considered. Furthermore, if product 14 (portable MP3 players) is excluded from the analysis because of the nonconsideration of probably existing product improvement effects, then the utility‐based approach, on average, outperforms the benchmark in all forecasting years. Altogether, this suggests that the approach by Decker and Gnibba‐Yukawa could achieve more accurate forecasts when applying a more reasonable range for m, rather than varying it between 2 and 15 times the cumulative sales by the end of year 7 as proposed by Goodwin and Meeran. It turns out that the Gompertz curve approach can perform on a par with the utility‐based approach in high‐technology product sales forecasting based on short time series if the market potential m is estimated exogenously. A combination of the outcomes of both approaches can even lead to more accurate forecasts as when being used individually insofar as composite forecasting seems to be a practicable approach to the problem of shorter time series compelled by the accelerated diffusion speed in high‐technology markets, rather than relying on one presumably “best” model.     

A Dynamic Model of Auctions with Buy‐It‐Now: Theory and Evidence

In the ascending‐price auctions with Yahoo!‐type buy‐it‐now (BIN), we characterize and derive the closed‐form solution for the optimal bidding strategy of the bidders and the optimal BIN price of the seller when they are both risk‐averse. The seller is shown to be strictly better off with the BIN option, while the bidders are better off only when their valuation is high enough. The theory also implies that the expected transaction price is higher in an auction with an optimal BIN price than one without a BIN option. This prediction is confirmed by our data collected from Taiwan's Yahoo! auctions.     

The Influence of CEOs' Visionary Innovation Leadership on the Performance of High‐Technology Ventures: The Mediating Roles of Connectivity and Knowledge Integration

Senior leaders play an essential role in facilitating knowledge creation processes and driving firms' innovation performance. However, little is known about the underlying relational mechanisms by which CEOs help build knowledge integration capability and drive firm innovation. We developed and tested a conceptual model about the ways in which CEOs shape a context conducive for knowledge creation processes and drive multiple innovation performance. A field, survey‐based, study among small‐ to medium‐sized technological ventures (SMVs) showed that CEO visionary innovation leadership (manifested by both vision for innovation and enactment of the vision through specific leadership behaviors) was positively related to a context of connectivity. Connectivity was related to firm knowledge integration capacity, which in turn resulted in enhanced firm innovation (new product quality, development speed, and product innovation). The findings also indicate direct links between CEO visionary innovation leadership and knowledge integration, and between connectivity and product innovation. Implications for theory and practice are discussed.     

Finding Commercially Attractive User Innovations: A Test of Lead‐User Theory*

Firms and governments are increasingly interested in learning to exploit the value of lead‐user innovations for commercial advantage. Improvements to lead‐user theory are needed to inform and to guide these efforts. The present study empirically tests and confirms the basic tenets of lead‐user theory. It also uncovers some new refinements and related practical applications. Using a sample of users and user–innovators drawn from the extreme sport of kite surfing, an analysis was made of the relationship between the commercial attractiveness of innovations developed by users and the intensity of the lead‐user characteristics those users display. A first empirical analysis is provided of the independent effects of its two key component variables. In the empirical study of user modifications to kite‐surfing equipment, it was found that both components independently contribute to identifying commercially attractive user innovations. Component 1, the high expected‐benefits dimension, predicts innovation likelihood, and component 2, the ahead of the trend dimension, predicts both the commercial attractiveness of a given set of user‐developed innovations and innovation likelihood due to a newly proposed innovation supply side effect. It was concluded that the component variables in the lead‐user definition are indeed independent dimensions, so neither can be dropped without loss of information—an important matter for lead‐user theory. It also was found that adding measures of users' local resources can improve the ability of the lead‐user construct to identify commercially attractive innovations under some conditions. The findings reported here have practical as well as theoretical import. Product modification and development has been found to be a relatively common user behavior in many fields. Thus, from 10 to nearly 40 percent of users report having modified or developed a product for in‐house use in the case of industrial products or for personal use in the case of consumer products in fields sampled to date. As a practical matter, therefore, it is important to find ways to selectively identify the user innovations that manufacturers will find to be the basis for commercially attractive products in the collectivity of user‐developed innovations. The implications of these findings for theory as well as for practical applications of the lead‐user construct are discussed—that is, how variables used in lead‐user studies can profitably be adapted to fit specific study contexts and purposes.     

Asset Location,Timing Ability and the Cross‐Section of Commercial Real Estate Returns

This study examines the sensitivity of equity REIT returns to time‐varying MSA allocations of REIT property portfolios. Using a large sample of individual commercial property holdings, we find significant cross‐sectional and time variation in REIT geographic exposures and the ability of these exposures to explain the cross‐section of REIT returns. We further find evidence consistent with REIT managers being able, on average, to time allocation decisions ahead of MSA outperformance. This effect is most prevalent in non‐gateway markets, varies significantly across MSAs and over time, and is concentrated in financially flexible firms with a more diversified geographic portfolio.