Social capital and creativity in R&D project teams

The existing research contributes to our understanding about the value of social capital in a wide range of social science disciplines; however, it does not well address the role of social capital in creativity for research and development (R&D) project teams in a given context. Using a sample of 54 R&D project teams in high-technology firms of Taiwan, we examined the impacts of social capital on creativity of R&D project teams from an intra-team perspective. Results of factor analysis revealed four factors extracted from the concept of social capital, namely social interaction, network ties, mutual trust, and shared goals. Findings suggested that social interaction and network ties had significant and positive impacts on creativity of R&D project teams, but mutual trust and shared goals did not. Managerial implications for managing social capital in R&D project teams are discussed.     

A question of (mis)alignment: innovation mandates and absorptive capacity routines

Research suggests that effective R&D requires the right combination of inward-looking and outward-looking absorptive capacity routines. However, we do not have an adequate understanding of how these routines influence innovative output in R&D units with different mandates. In this paper, we argue that adopting an absorptive capacity routine would positively or negatively influence the R&D subsidiary’s innovative output, depending on whether the routine is aligned or misaligned with the subsidiary’s innovation mandate to ‘exploit’ existing knowledge or ‘explore’ new knowledge. We test this using data collected from a global packaged-software firm with 14 international R&D subsidiaries that implemented six major absorptive capacity routines in the period 2000–2010. Our research provides new insights for both scholars and practitioners in R&D management, by showing that balancing of absorptive capacity routines should be considered in light of innovation mandates of subsidiaries as well as the firm. Our analysis also provides insights on why decision makers may still adopt misaligned routines.     

Learning patterns in early stage R&D projects: empirical evidence from the fibre raw material technology project in the Netherlands

Past research has reported that learning processes in early stage R&D are either chaotic, or absent. We challenge this finding by elaborating Van de Ven et al.’s trial‐and‐error learning model and explore an alternative conceptualization. We explored the combinations of positive and negative outcomes and action course continuation and modification. We use data gathered in an R&D setting of a 4‐years pre‐competitive knowledge generation project in the Dutch paper and board industry. Whereas the Van de Ven and Polley (1992) approach applied on our data also would lead us to conclude that ‘no learning’ would happen, our decomposed model identified three distinct learning patterns: (1) a virtuous pattern of positive outcomes resulting in continuations of action courses; (2) a vacuous pattern of negative outcomes resulting in modifications of action courses; and (3) a verification pattern of positive outcomes resulting in modifications of action courses. We observed the virtuous and verification patterns during the first 2 years and virtuous and vacuous learning in the second 2 years. These results might be useful for R&D managers since they provide insight into how an early stage R&D project can develop and where managers might intervene and adjust action courses.     

R&D in markets with network externalities

This paper studies the consequences of network externalities on R&D rivalry between an incumbent firm and a potential entrant. In the model, all differences between the R&D projects chosen in market equilibrium and the socially best projects are solely due to network externalities. From a welfare perspective, the incumbent chooses a too risky and the entrant a too certain R&D project. Rothschild and Stiglitz's mean preserving spread criterion is used as a measure of risk. Adoption of a new standard is more likely in equilibrium than in the social optimum.     

The AI techno-economic complex System: Worldwide landscape,thematic subdomains and technological collaborations

Artificial intelligence (AI) is playing a major role in the new paradigm shift occurring across the technological landscape. After a series of alternate seasons starting in the 60s, AI is now experiencing a new spring. Nevertheless, although it is spreading throughout our economies and societies in multiple ways, the absence of standardised classifications prevents us from obtaining a measure of its pervasiveness. In addition, AI cannot be identified as part of a specific sector, but rather as a transversal technology because the fields in which it is applied do not have precise boundaries. In this work, we address the need for a deeper understanding of this complex phenomenon by investigating economic agents’ involvement in industrial activities aimed to supply AI-related goods and services, and AI-related R&D processes in the form of patents and publications. In order to conduct this extensive analysis, we use a complex systems approach through the agent-artifact space model, which identifies the core dimensions that should be considered. Therefore, by considering the geographic location of the involved agents and their organisation types (i.e., firms, governmental institutions, and research institutes), we (i) provide an overview of the worldwide presence of agents, (ii) investigate the patterns in which AI technological subdomains subsist and scatter in different parts of the system, and (iii) reveal the size, composition, and topology of the AI R&D collaboration network. Based on a unique data collection of multiple micro-based data sources and supported by a methodological framework for the analysis of techno-economic segments (TES), we capture the state of AI in the worldwide landscape in the period 2009–2018. As expected, we find that major roles are played by the US, China, and the EU28. Nevertheless, by measuring the system, we unveil elements that provide new, crucial information to support more conscious discussions in the process of policy design and implementation.     

Relating management practices to job characteristics of R&D: The case of Taiwan

Based on a study of researchers in three major R&D industries in Taiwan, this article found that while both supportive and directive styles of management are important in the supervision of R&D processes, the supportive behavior seems to be more effective than the directive strategy in motivating research professionals at work. Data also indicated that the job characteristics of R&D may be significantly influenced by industrial conditions. The management differences between industries are explained in the features peculiar to each particular industry. Implications of the findings for enhancing the management effect are also discussed.The author is an Associate Professor, Department of Business Administration, National Cheng-Kung University, Tainan, Taiwan, R.O.C. All correspondence should be sent to this address.     

Scale and performance in publicly funded collaborative research and development

This paper reports the results of an extensive empirical investigation on the role of project scale (reflected in consortium size and in project budget) on various performance dimensions of publicly funded collaborative research and development (R&D) projects. Recent trends in European research policy are founded on the premise that such scale economies do exist, hence the emphasis placed on the critical mass of R&D projects. We argue that large scale in collaborative R&D confers both positive and negative effects, and thus we hypothesize an inverse U‐shaped relation between scale and performance. We only find an inverse U‐shaped effect of consortium size on networking impacts and a U‐shaped effect of project budget on goal achievement. No other statistically significant relationships were found for the remaining performance dimensions (i.e. scientific outputs, technological outputs, and research capacity impacts). More generally, and consistent with recent work on the relation between quality and quantity in academic research, our analyses offer little evidence to support the idea that increasing scale generally improves collaborative R&D performance. It appears that the simple assumption ‘bigger is better’ in European Union‐financed collaborative R&D may need to be reconsidered.     

R&D projects in the science sector

The purpose of this research was to determine and analyse diversity in various features of R&D projects implemented in the science sector in Poland, financed mostly from public funds. More exactly, the following aspects of R&D projects implemented in the science sector in Poland were examined: the relation between the actually achieved and the initially set goal, the project management methodologies and project time management methods used, features of the project team, the relation between the plan and the actual project realisation and management difficulties encountered in practice. These aspects and their diversity were examined in the context of the whole country, of various fields of science and various research units implementing pure research (the ‘R’ area) or applied research and experimental development (the ‘D’ area). The research was conducted by means of survey methodology covering a sample of participants of R&D projects in the science sector in Poland. The results were analysed by means of statistical methods (which constitutes a clear novelty with respect to the existing literature on R&D projects) and statistically significant phenomena gave rise to several important conclusions on how R&D projects implemented in the science sector are managed and what their realisation looks like in various fields of science and various institutions, in a relatively new EU members state and a former communist country like Poland. These conclusions may be the basis for important hypotheses (which require further research) on the project management quality in the science sector in Poland and in similar countries, which is closely linked to the problem of public money allocation, its efficient spending and control. Also, practical suggestions on improvement measures in the science sector with respect to R&D projects, limited not only to countries like Poland, but of a more general nature, are formulated.     

Principal researcher and project manager: who should drive R&D projects?

In this paper, it is analyzed the hypothesis that in R&D the principal researcher (PR) is accepted as the coordinator or project manager (PM), carrying out the search for financing and to manage contracts, resources, cost, time, scope, risk and uncertainty, communication, stakeholders and so on, in addition to internal research activities. Thus, this study tries to verify this hypothesis through a major literature review in different types of projects developed by university, but also with a look to industry and industry-university cooperation. Two case studies are also analyzed, centered in its R&D project management maturity level. It is concluded that there is an important issue in projects’ success and in the time spent by PR in management, work for which they are under trained; while at the industry there is a greater approach to project management by the proximity of the innovation projects to other industrial projects. Following these initial findings and according to the case study results, it is proposed that R&D Projects in universities would be separated into two synergistic knowledge areas: R&D Management and Project Management. It is also recommended to allocate them to two distinct roles, where they could add value to R&D through their better knowledge and skills.     

Does R&D intensity promote the adoption of circular supply chain management? Evidence from China

This paper explores the relationship between research and development (R&D) intensity and circular supply chain management (CSCM) adoption of high-tech manufacturing companies in China to deepen our understanding of how to improve CSCM adoption in emerging economies. In particular, we examine the moderating effect of three kinds of institutional pressures (i.e., regulatory pressure from governmental regulations, mimetic pressure from industry competition, and normative pressure from overseas customer demand) from the perspective of institutional theory. Based on the panel data of 310 Chinese listed companies from 2006 to 2019, we find that R&D intensity positively affects firms’ CSCM adoption. We further observe that this positive effect is strengthened when the ratio of state-owned shares or the degree of industry competition is higher. However, overseas operating income does not affect the impact of R&D intensity on CSCM adoption. Our study contributes to the literature on the innovation – circular economy debate, confirming the positive effect of R&D intensity on firms' CSCM adoption, and provides insights into moderating effects on this relationship in an emerging economy context.     

Business R&;D and the Interplay of R&;D Subsidies and Product Market Uncertainty

This paper examines the effect of product market uncertainty and government research and development (R&D) subsidies on firm-level R&D investment. Using a sample of German manufacturing firms, we find that product market uncertainty reduces R&D investment and government R&D subsidies increase R&D investment. Moreover, our results indicate that R&D subsidies mitigate the effect of product market uncertainty on R&D investment. These findings suggest that public policies aimed at increasing business R&D investment can achieve this objective by reducing the degree of uncertainty in the product market.      

International R&D partnerships and intrafirm R&D–marketing–production integration of manufacturing firms in emerging economies

Although cross-functional integration is important for research and development (R&D), research about implications of cross-functional integration has been rather sparse. In new product development (NPD), no study to date has examined intrafirm as well as interfirm integration of key functions such as intrafirm R&D–marketing–production together with interfirm integration of host R&D–partner R&D. Such marketing and operations interface contributes to a better understanding of how operational and marketing activities impact on competitiveness and firm performance. This study collected data from 202 electronics manufacturing firms operating in an emerging economy, mainland China and Hong Kong with international R&D partnerships. The findings indicate that a high level of R&D integration between firms improved NPD performance when cross-functional integration is based on existing rather than new product configurations and key technologies. Interestingly, in high distance situations, cross-functional integration in the production validation stage generated NPD success. The findings show that high environmental uncertainties lead to a high level of host and partner firms R&D integration. However, product newness has no significant effects on R&D integration in any of the NPD stages.     

Flexibility planning for managing R&D projects under risk

Incorporating managerial flexibility in an innovative R&D project is important, because managers face greater uncertainty in today's competitive and dynamic changing environment. It is essential to bring managerial flexibility into R&D project planning to decrease technical and market risks, while increasing potential market value. The objective of this paper is to develop a flexibility planning methodology based on real option analysis to improve managerial flexibility for R&D projects. The proposed methodology identifies potential risks that may occur during every R&D stage. It also recognizes a cascading option structure to resolve the identified risks, and evaluates and selects adequate options that maximize the potential value of the project. Instead of using a traditional option pricing method, a dynamic programming model that considers multidimensional product performance and market payoff is used to evaluate the R&D project value. Using the proposed methodology, managers can identify future scenarios as a function of their management actions. The proposed flexibility planning methodology can help managers improve managerial flexibility of R&D project and increase the success rate of product launch. A drug development project is used to illustrate the proposed methodology.     

Interplay between internal investment and alliance specialization in R&D and marketing

A firm's efforts to build its technological and marketing capabilities are not limited to internal investments but can be extended to include external knowledge acquisitions. We examine the interaction between a firm's specialization in R&D or marketing through its internal investments and its alliances in two different industrial contexts. Our results, based on secondary data sources such as Compustat and SDC Platinum from 1985 to 2009, show that the interaction effects of internal specialization and alliance specialization are contingent on the types of tasks (i.e., R&D and marketing) and the industrial context (i.e., high- and low-tech industries). Our findings indicate that a firm in a high-tech industry is able to achieve greater gains by complementing its internal focus on R&D with its external focus on marketing or by focusing on R&D both internally and externally. In contrast, a firm in a low-tech industry is able to achieve greater performance when R&D and marketing complement each other, without regard for how they are aligned through internal investments and alliances. The firm is also able to improve its performance by focusing on marketing both internally and externally. These findings provide new insights into the complementarity between internal investments and alliances.     

Declared essential patents and average total R&D expenditures per patent family

The sharp increase in SEP declarations and declaring firms emphasizes the necessity for understanding firms’ innovation investment behavior in standardization. This paper empirically investigates whether declared standard-essential patents (SEPs) and the declaring firm’s business model (operationalized as a firm’s location in the value chain) are associated with a firm’s innovation investment behavior. To this end, we measure firms’ innovation investment behavior through average total research and development (R&D) expenditures per filed patent family for publicly listed firms from 1999 to 2018. Our sample mainly includes major SEP family declarants. We rely on a binary business model taxonomy differentiating upstream and downstream firms. Within that setting, total R&D expenditures rise with increasing fragmentation of declared SEP families, suggesting that firms adjust their R&D investments to declaration developments in standard-setting organizations (SSOs). We also show that upstream firms have significantly lower total R&D expenditures than downstream firms, which could indicate structural differences in their intellectual property (IP) and R&D management processes. Our results can help SSOs and regulators better understand firms’ innovation investment behavior.     

Barriers to the upgrade cycle in a commodity process industry: evidence from the UK packaging industry

Attempting to move away from commodity‐based products into higher value added ones remains one of the key challenges for research and development (R&D) managers. This paper focuses on developing an understanding of these challenges in the UK packaging industry. The research presents evidence from the case of a single firm, within this process industry, that produces commodity products. The paper contributes to Lager's product degradation–upgrade cycle, which illustrates how functional products degrade into commodities unless product functionalities are continually improved. We characterise the ‘upgrade’ aspect within this model. The paper presents the findings of a 3‐year research project with one of the largest packaging manufacturers in Europe. Five barriers are uncovered that hinder firms attempting to increase the level of product differentiation in order to ‘upgrade’.     

Getting the most out of cross-functional cooperation: Internal structural change as a trigger for customer information use

Using customer information in the decision making of R&D and production is vital for industrial firms to survive and prosper in an increasingly competitive marketplace. Previous studies show that cross-functional cooperation may have both negative and positive effects on information use. The authors hypothesize that internal structural change positively moderates the relationship between cross-functional cooperation and information use. However, structural change also decreases the quality of cross-functional cooperation. Cross-functional knowledge increases both cross-functional cooperation and customer information use. These hypotheses are tested and supported using a data set consisting of 221 manufacturing and R&D managers in large industrial firms. The findings imply that although internal structural change increases the benefits of cooperative, cross-functional relationships in terms of customer information use, managers in volatile organizations should continue to strengthen cooperative relationships by maintaining and improving sales and marketing contact people's knowledge of manufacturing and R&D.     

Network positioning and R&D activity: a study of Italian groups

Traditionally, R&D studies focus on organisational characteristics and internal context factor effects on a firm's R&D activities. This paper extends previous research by analysing firm–level R&D expenditures in the wider context of inter–organisational networks. Using sample of 2002 manufacturing firms in Italy, it provides evidence that R&D intensity is linked to a firm's positioning within an industrial group's hierarchy. Further tests on the antecedents of R&D expenditures are carried out in relation to the effects of firm characteristics and industry factors. Important findings include a significant and positive association between R&D intensity and the firm's size, performance, intangible assets and industry concentration. These findings suggest that, in addition to firm–level factors and its market environment, network resources and organisation may play an important role in driving the intensity of the firm's R&D expenditures.     

Transformational leadership and gatekeeping leadership: The roles of norm for maintaining consensus and shared leadership in team performance

This study focuses on shared leadership in Japanese R&D teams. The effects of both transformational and gatekeeping leaderships of formal leaders on shared leadership are examined. Moreover, the effect of shared leadership on R&D team performance is examined. Hypotheses are tested with a sample of 654 researchers working in 119 R&D industrial research teams in Japan. Results show that transformational leadership has a negative effect on shared leadership through the norm for maintaining consensus such that it positively influences the norm, which in turn negatively influences shared leadership. In contrast, gatekeeping leadership has a direct as well as an indirect positive impact on shared leadership through the norm for maintaining consensus such that it negatively influences the norm, which in turn negatively influences shared leadership. In addition, this study finds that shared leadership positively influences R&D team performance. These results suggest that leadership displayed by team members and that by formal leaders significantly influences team performance. The results are discussed in the context of the unique Japanese work environment.     

Profitability Goals,Control Goals,and the R&D Investment Decisions of Family and Nonfamily Firms

Research and development (R&D) investments can help build sustainable competitive advantages and improve firm performance. Nevertheless, managers also acknowledge the difficulties associated with managing R&D and the low chances of success of innovation programs. For this reason, researchers have long been interested in understanding how managers make R&D investment decisions. Research grounded in the behavioral theory of the firm suggests that a primary driver of R&D investment decisions is profitability: when profitability goals have not been met, managers are more likely to initiate a problemistic search through increasing R&D investments. While emphasizing profitability goals and their relationship with R&D investments, prior research largely downplays the role of goals beyond profitability that exist in a significant number of firms (family firms) that are owned and managed by family members whose primary concern is preserving their control over the organization. Research indicates that these family‐centered noneconomic goals lead family managers to minimize R&D investments and that the coexistence of multiple goals produces highly variable R&D investment behavior. Yet, how family‐centered goals for control and profitability enter decision‐making in family firms is not fully understood. In this study, we propose that family managers form distinctive reference points that capture supplier bargaining power and are used to evaluate the degree of external obstruction to their managerial control. The empirical analysis of panel data on 431 private Spanish manufacturing firms observed over the period 2000–2006 shows that the importance of profitability and control goals follows a sequential logic in family firms, such that family firms react more strongly to increasing supplier bargaining power when their profitability reference points have been reached. This study extends current understanding of the distinctive organizational processes engendered by family management in business organizations leading to new research opportunities at the intersection of the innovation management and family business literatures.