Corporate technology portfolios and R&D performance measures: a study of technology intensive firms

This paper examines the relations between technology portfolio strategies and five commonly used research and development (R&D) performance measures. Patent and financial data of 78 US-based technology companies from 1976 to 1995 were gathered and analysed to investigate how a well-managed technology portfolio can create synergy and affect R&D performance. A technology portfolio can be characterized by its composition and technology concentration. A valuable technology portfolio that consists of patents with higher average citation made and self-citation ratio can have a positive effect on firm value. Our findings suggest that large firms may enjoy advantages for technological innovation because they can exploit synergy effects of their technology portfolios. Technology concentration strategy does not work well because firms focusing on few technology fields can experience diseconomy to patents received since high-quality patents are increasingly difficult to obtain. This paper lays the groundwork for future empirical research on technology portfolio and R&D performance.     

Customer‐led and market‐oriented: a matter of balance

This article is prompted by Slater and Narver’s (1998) SMJ article entitled ‘Customer‐led and market‐oriented: Let’s not confuse the two’. It is suggested here that Slater and Narver’s contention that strategic success is a function of market‐led orientation rather than customer‐led orientation is too reductionist a proposition which gives inadequate weight to the resource endowment and scale differences between companies. The argument is offered that success through time for the bulk of businesses will be directly related to close relationships with existing customers, particularly for smaller companies, which are the vast majority. Copyright © 1999 John Wiley & Sons, Ltd.     

An SAO‐based text‐mining approach for technology roadmapping using patent information

A technology roadmap (TRM) links technologies with a company's strategic objectives and so supports acquisition of required technologies in advance of needs. It is a powerful tool for strategic planning and technology management. Because technology is changing rapidly and market competition is fierce, the role of a TRM is becoming increasingly important. To support the role of a TRM, many firms and governments that use roadmapping are becoming interested in reducing costs while retaining objectivity during TRM development. One suggestion to achieve these goals is to use the keyword‐based quantitative approach to creating a TRM, but the information provided by the approach is limited because of the characteristics of keyword information. To solve this limitation, this research uses the concept of ‘function’ to support quantitative analysis for developing a TRM. The concept of function can provide information on the uses and purposes of a technology. To represent a function, a subject–action–object structure is commonly used. The suggested approach allows research and development (R&D) managers to extend the views of product and technology during development of a TRM. In addition, by reducing the time required to develop a TRM, the proposed approach supports quick and accurate decision‐making by R&D managers.     

Market‐oriented is more than being customer‐led

Connor, in ‘Customer‐led and market‐oriented: A matter of balance’, argues, among other things, that we propose that market oriented businesses focus on future customer needs to the neglect of current customer needs, that market oriented businesses over‐emphasize marketing activities in their value chains, that market oriented businesses emphasize generative learning to the neglect of adaptive learning, and that only large companies have the resources to become market oriented. These arguments are largely unfair extrapolations of our position and reflect a superficial understanding of the nature and benefits of being market oriented. We use this response to clarify our position on these issues. Copyright © 1999 John Wiley & Sons, Ltd.     

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.     

Non‐additivity in portfolios of exploration activities: a real options‐based analysis of equity alliances in biotechnology

Firms invest in exploration‐oriented activities to seek competitive advantage and in response to changing environments. Real options formulations represent an emerging strand of thinking on such investments. In this paper we begin with the observation that firms often simultaneously invest in multiple exploration projects. We identify two sources of potential interactions among these real options investments. First, we investigate the effects of correlations between the outcomes in different options. Second, we analyze the effects of investments that are fungible across project options. We show that under different conditions multiple options can be sub‐additive (due to redundancies in outcomes) or super‐additive (due to fungible inputs). We test the implications of our model with data from the biotech industry and find supporting evidence. Our model and results have some interesting implications for the exploration literature and real options lens. Copyright © 2004 John Wiley & Sons, Ltd.     

Innovation ecosystems and the pace of substitution: Re‐examining technology S‐curves

Why do some new technologies emerge and quickly supplant incumbent technologies while others take years or decades to take off? We explore this question by presenting a framework that considers both the focal competing technologies as well as the ecosystems in which they are embedded. Within our framework, each episode of technology transition is characterized by the ecosystem emergence challenge that confronts the new technology and the ecosystem extension opportunity that is available to the old technology. We identify four qualitatively distinct regimes with clear predictions for the pace of substitution. Evidence from 10 episodes of technology transitions in the semiconductor lithography equipment industry from 1972 to 2009 offers strong support for our framework. We discuss the implication of our approach for firm strategy. Copyright © 2015 John Wiley & Sons, Ltd.     

Patenting and the early‐stage high‐technology investor: evidence from the field

We discuss the importance of patenting to the venture capital investor in high‐technology firms. While literature suggests that patenting will have an impact on the nature and level of investment, the investors themselves are keen to suggest otherwise. We investigate this issue by the use of new primary‐source empirical data, gathered by fieldwork methods. Our results help explain a link between the existence of patenting and the level of investment made. We further support our analysis with illuminating quotes from investors currently active in the field.     

De‐escalation Mechanisms in High‐technology Product Innovation

Many decision‐makers struggle to reduce commitment to failing endeavors. While de‐escalation mechanisms have been documented and tested in information technology, accounting, psychology, and organizational behavior, little work has addressed de‐escalation in innovation. This study identifies and examines the applicability of de‐escalation mechanisms specifically in new product development (NPD) projects. Initially, we conducted an extensive literature review to identify de‐escalation mechanisms found in research across different academic disciplines. Subsequently, we conducted a qualitative study using semistructured interviews to gather primary data. In total, using a sample of organizations that compete in high‐technology industries, 31 managers and engineers in 15 NPD projects that were terminated prior to completion were interviewed regarding mechanisms used to de‐escalate commitment to failing new product innovation projects. Several mechanisms reportedly used for innovation projects parallel those identified in the previous literature. More importantly, the authors uncover novel and previously undocumented ways to discontinue or redirect poorly performing projects. Specifically, internal competitions, feature‐level de‐escalation, continual assumption assessment, benchmarking, roadmaps, and comprehensive product testing are particularly well suited for innovation projects. These findings extend the body of extant literature on de‐escalation of commitment to include innovation, notably in high‐technology settings. The study also highlights that organizations may want to accept or even encourage failure, thereby increasing the efficacy of resource use. Implications for further research and practice are offered.     

A Closer Look at Cross‐functional R&D Cooperation for Innovativeness: Innovation‐oriented Leadership and Human Resource Practices as Driving Forces

Because cross‐functional research and development (R&D) cooperation appears to drive innovation, many firms have invested considerably in it. However, despite substantial efforts to improve information and communication infrastructures or to bring departments in closer proximity with one another, structural investments often fail to produce the desired positive impact on cross‐functional R&D cooperation. This failure may arise because firms undertaking these structural investments do not manage their employees adequately. Extant research acknowledges the importance of motivating and enabling members of the R&D function to cooperate with other functions. Yet empirical studies investigating the relative importance of leadership and different human resource (HR) practices for enhancing cross‐functional R&D cooperation are scarce. Drawing on the resource‐based view and organizational support theory, this study investigates how innovation‐oriented leadership and HR practices might support members of the R&D function and encourage cross‐functional R&D cooperation, which enhances product program innovativeness. Specifically, members of the R&D function who are supported in their innovation efforts through innovation‐oriented leadership and HR practices should reciprocate for the support they receive by intensifying their cross‐functional cooperation to achieve greater product program innovativeness. Relying on multi‐informant data from 125 firms with assessments from marketing and R&D managers, this study shows that innovation‐oriented leadership and HR practices have different effects on cross‐functional R&D cooperation. A structural equation modeling‐based analysis of the hypothesized relationships reveals that innovation‐oriented leadership, rewards, and training and development have considerable positive effects. In contrast, recruitment does not drive cross‐functional R&D cooperation. Because firms usually operate in dynamic markets, and increasingly acquire relevant information from customers when generating innovations, this study also considers market‐related dynamism and customer integration as important contingency factors. For firms facing market‐related dynamism and those relying on customer integration, leadership and training and development are particularly effective for enhancing cross‐functional R&D cooperation. By integrating two theoretical perspectives, this study not only advances knowledge on the antecedents of cross‐functional R&D cooperation, but also helps explain differences in their relative effectiveness. Furthermore, it both adds to the discussion of whether monetary rewards are appropriate means to foster innovation and challenges existing assumptions about the role of recruiting for innovation.     

Environment–strategy co‐evolution and co‐alignment: a staged model of Chinese SOEs under transition

Economic reform in China has attracted growing attention from around the world owing to its significance for theory and practice. What has been largely missing in the literature is the temporal dimension, i.e., the changes over time in key variables such as organizational environment, firm strategic adaptations, and the performance implications. In this study, we investigate environment and strategic adaptations 12 years after Tan and Litschert examined these issues in 1990. Following a staged model, the study found that (1) organizational environment and firm strategic adaptations have co‐evolved over time, (2) a new configuration has emerged and is related to improved performance, and (3) such a relationship is moderated by the stage during transition in which firms were founded. Specifically, firms founded since 1990 are more proactive and innovative than firms that had existed in the previous stage. Copyright © 2004 John Wiley & Sons, Ltd.     

Hybrid social media: employees’ use of a boundary‐spanning technology

Improved employee collaboration and communication can be facilitated by social technologies that extend within and beyond organisations. These social technologies have increasingly come to be represented by social media sites, which are used to extend workplace relationships across personal and professional boundaries in a hybrid role. This presents opportunities and risks as those boundaries are collapsed. Using boundary management as a theoretical lens, we evaluate the associations of relationship initiation between colleagues at different levels of organisations with employees’ strategies and their well‐being. We also investigate relationships with social media usage, age and propensity to self‐monitor and group employees using cluster analysis. We consider implications of our findings for developing more sophisticated policies, training and guidance for employees on the use of social media as a workplace tool.     

Inflation Protection from Homeownership: Long‐Run Evidence, 1814–2008

This article examines the inflation hedging capacity of the private home. We employ unique long‐term data for inflation, house price dynamics and rents for Amsterdam dating back to 1814, allowing us to study total housing returns in different inflation regimes and for varying investment horizons. Our Amsterdam data show that homeownership's protection against actual and expected inflation increases with the investment horizon. This increase is especially strong for horizons up to 10 years. Inflation protection from housing is stronger when inflation is persistent, and the hedging capacities of housing regarding unexpected inflation are weak.     

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.     

Value creation in university‐firm research collaborations: A matching approach

University‐based technological opportunities are often exploited through joint corporate and academic entrepreneurship activities such as university–industry research collaborations. This paper explores the partner attributes that drive the matching of academic scientists and firms involved in these relationships. The paper models the formation of firm–faculty partnership as an endogenous selection process driven by synergy between partners' knowledge‐creation capabilities. The main findings indicate that faculty–firm matching is multidimensional: firms and scientists complement each other in publishing capabilities but substitute each other in patenting skills. Furthermore, firms and scientists with specialized knowledge create more value by teaming with more knowledge‐diversified partners. The paper contributes to the literature on university–industry knowledge transfer and, more generally, to the literature on alliance formation.     

Rent‐Sharing under Different Bargaining Regimes: Evidence from Linked Employer–Employee Data

Using Belgian linked employer–employee data, we examine how collective bargaining arrangements affect the relationship between firms' profitability and individual wages via rent‐sharing. In industries where agreements are usually renegotiated at firm‐level (‘decentralized industries’) wages and firm‐level profits are positively correlated regardless of the type of collective wage agreement by which the workers are covered (industry or firm). On the other hand, where firm‐level wage renegotiation is less common (‘centralized industries’), wages are only significantly related to firms' profitability for workers covered by a firm‐level collective agreement. Thus, industry‐wide contracts that are not complemented by a firm‐level collective agreement suppress the impact of firm profits on workers' wages in centralized industries.     

Temporality,space and technology: time‐space discourses of call centres

This paper considers time‐space discourses within grand theories that have shaped the trajectory of research on call centres. A critical approach to telework needs to consider temporal and spatial configurations and space creation as a negotiation between a multitude of factors including capital, culture and human agency.     

The strategic dilemmas of innovative enterprises: proposals for high‐technology sectors

High levels of research and development (R&D) expenditure, pressure for innovation and the creation of new knowledge are features that distinguish high‐technology (high‐tech) enterprises from other, less technologically advanced, firms. Confronted with multiple contemporary approaches to strategy and turbulence in their environment, these enterprises make strategic choices continuously and dynamically. This paper proposes a model and matrix for the classification of high‐tech enterprises’ development strategies (with regard to their specific features), which are then verified. Qualitative research was conducted in 61 medium and large high‐tech companies based in Poland that operate either in Poland or in the global marketplace. The results show that high‐tech firms have the fundamental goal of developing R&D activity as a resource (and its redundancy) rather than product/market goals. The studied firms strive above all for leadership in innovation, creating new technologies based on their own R&D resources, while also using outside sources and mostly applying the personalisation approach in knowledge management. However, they choose different paths for product and market development, depending on the opportunities presented by the environment, and the firm's ability to identify and take advantage of these.     

A Meta‐Analysis of the Union–Job Satisfaction Relationship

The purpose of this study is to provide a systematic and quantitative review of the existing empirical evidence on the effects of unionization on overall job satisfaction. We conducted a meta‐regression analysis (MRA) with results from a pool of 235 estimates from 59 studies published between 1978 and 2015. The accumulated evidence indicates that unionization is negatively related to job satisfaction but is far from being conclusive. When primary studies control for endogeneity of union membership, the results of the MRA indicate that the difference in job satisfaction between unionized and non‐unionized workers disappears. These results suggest that reverse causation (i.e. dissatisfied workers are more likely to join a union) and time‐varying endogenous effects play a key role in explaining the relationship between unionization and job satisfaction.