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Complex technology not only provides potential economic benefits but also increases the difficulty of application. Whether and how upstream technological complexity affects downstream manufacturers' innovation through vertical separation structure is worth discussing, but it has not been effectively discussed.

Through theoretical analysis and empirical testing, this article discusses the cost effect and market competition effect caused by upstream technological complexity on downstream manufacturers and further elucidates the impact of upstream technological complexity on downstream manufacturers' innovation.

Research has found that the impact of upstream technological complexity on the downstream manufacturers' innovation depends on the cost effect and market competition effect. The cost effect caused by the complexity of upstream technology inhibits the innovation of downstream manufacturers. In contrast, the market competition effect promotes the innovation of downstream manufacturers. There are differences in the cost effect and market competition effect of upstream technological complexity on different types of downstream manufacturers, so there is also significant heterogeneity in the impact of upstream technological complexity on innovation of different types of downstream manufacturers.

The conclusions of this article improve the understanding of the relationship between upstream technological complexity and downstream innovation and provide helpful implications for industrial chain innovation.

Technological uncertainty and technological complexity are the two dominant characteristics of new product development (NPD) projects that have a negative influence on NPD performance, relying on a strong theoretical argumentation based on organizational information processing theory. The purpose of this study is the development of reliable and valid scales for the measurement of technological uncertainty and technological complexity, especially in the context of the discontinuous technological change of digitization.

This study uses material from 44 in-depth interviews, which has been transferred into a questionnaire, and survey data from 166 respondents from the German automotive industry in charge of the development and production of electric and electronic technologies (including software). In this context, exploratory and confirmatory factor analyses are used to test the developed scales for reliability and validity.

In this context, it can be stated that the developed scales affirm reliability and validity sufficiently. Interestingly, novelty, regarded as key item for measuring technological uncertainty, has to be dropped, as the factor loadings are under the cut-off of 0.40. Moreover, resulting items for measuring technological uncertainty and technological complexity do not deviate significantly from those discussed in previous study before the discontinuous technological change of digitization occurred.

This paper provides value for the discussion on how to measure technological uncertainty and technological complexity, especially in times of radical technological changes.

Technological uncertainty and technological complexity are key characteristics of new product development (NPD) projects that impose significant information processing requirements on organizations. This paper examines the direct influence of technological uncertainty and technological complexity as well as the indirect influence of work experience on organizational information processing capabilities.

The author used a sample of 166 respondents from the German automotive industry and applied linear hierarchical regression analysis.

The results confirm a negative influence of technological uncertainty and technological complexity on organizational information processing capability. This research also supports a moderating influence of work experience on these relationships.

This research helps to understand the relationship between technological uncertainty, technological complexity and OIPC. It represents a first and different approach to measure these constructs for further empirical studies and provides interesting managerial implications.

Drawing on sociolinguistics, this chapter proposes an encoding–decoding perspective on evaluation, conceptualizing codes as interpretive schemas that are encoded by firms and decoded by audiences. A key element in this process is code complexity, denoting combinations of interdependent elements. We demonstrate that the evaluation of code complexity depends on the type of audience (professionals and laypersons) and the type of complexity (technological and aesthetic). We analyze the attribution of awards by professionals and the public in luxury watchmaking, featuring three mechanisms: the social embeddedness of audiences, their motivation for evaluation and supply-and-demand matching. The results attest to significant differences in the evaluation of technological and aesthetic code complexity by professionals and laypersons. There is a premium attributed to aesthetic code complexity by professionals and a premium attributed to technological complexity by laypersons. Finding the right type and level of code complexity to pursue in their offerings is a key strategic challenge for producers.

Knowledge search is considered a broad concept and semi-intentional behavior. The path and boundary conditions through which search strategies affect intra-organizational knowledge creation remain elusive. Drawing on recombinant search theory and knowledge-based view, the authors seek to identify knowledge complexity as an important intermediate variable between knowledge search and innovation performance, such as research and development (R&D) output and R&D output quality. A second goal of this study is to examine the moderating roles of government support and technological turbulence.

The authors employed a longitudinal panel of 609 global pharmaceutical firms and obtained the firms' patent records from 1980 to 2015 for the analysis. The authors used generalized estimating equations (GEE) to evaluate the models and tested the consistency via panel fixed-effects estimations.

The authors' findings show that organizational routine-guided search has a negative effect on knowledge complexity, while routine-changing search exerts a positive impact on knowledge complexity. Governmental support and technological turbulence moderate these relationships. Notably, knowledge complexity has an inverted U-shaped relationship with innovation performance.

The authors' research context, the pharmaceutical industry, may constrain the generalizability of our findings. In addition, potential types of routine-guided and routine-changing search behaviors were not considered.

Despite these limitations, this study offers important implications. First, knowledge complexity transmits the effects of knowledge search on innovation performance. Practitioners should balance routine-guided and routine-changing search processes to build and manage complex knowledge. Second, a moderate level of knowledge complexity is the key to good R&D output and R&D output quality.

The study identifies knowledge complexity as one important intermediate variable between knowledge search behaviors and intra-organizational knowledge creation.

Technological standardization can promote the development of complex products and systems (CoPS) (e.g. large aircraft, high-speed trains). Many studies argue that a superior network position contributes to improving a firm's ability to innovate; however, few studies have considered the aforementioned line of research as falling under the purview of CoPS standardization. This study focuses on CoPS integrators, which hold the most important enterprise roles in CoPS manufacturing and innovation, to analyze whether the two types of superior positions (i.e. the central position and the brokerage position) help the integrator influence the standardization process in a process moderated by technological complexity.

Considering the outstanding market performance of the railway transportation industry in China, the abundance of cooperative activities in this industry, and data availability, we adopt integrators from this industry as samples for the empirical analysis in this study. A negative binomial regression analysis with random effects was conducted to analyze the acquired panel data.

The results show that the central position has an inverted U-shaped effect on the integrator's ability to influence standardization and that the brokerage position has a positive effect. We also find that the underlying mechanism of the two types of network positions impacts the integrator's ability to influence standardization and that it has two modes: knowledge integration in related domains and knowledge integration in nonrelated domains. Moreover, technological complexity attenuates the effect of the central position and strengthens the effect of the brokerage position on the integrator's ability to influence standardization.

This paper contributes to the theoretical research on CoPS manufacturing and innovation and complements knowledge-based theory. The results could prove enlightening for integrators facing complex technological environments, allowing them to establish a reasonable external knowledge search strategy and choose appropriate cooperation partners according to their knowledge domains.

The purpose of this paper is to analyze the effectiveness of legal protection mechanisms to sustain competitive advantage and appropriate technological intellectual capital, taking into account its degree of complexity.

The empirical analysis was conducted on a sample of Spanish biotechnology firms, devoted to human and animal health, having a specific department for carrying on R&D activities from 2001 to 2003. The hypotheses were tested by non‐parametric techniques after collecting data by sending a questionnaire as the primary source of information.

The results show that the higher the complexity of technological knowledge, the greater the protection of intellectual capital against imitation. In addition, it is proven that legal protection is an effective means of protection against imitation only when technological knowledge has a low degree of complexity.

Within the resource‐based view context, our results provide new empirical evidence about the great impact of the complexity of technological intellectual capital on evaluating the effectiveness of legal protection mechanisms and sustaining competitive advantage.

This research is of great value for strategic technological decision‐making. Although several studies present the theoretical conditions that explain how firms can create imitation “barriers”, the empirical evidence found is very scarce and controversial, especially for the Spanish biotechnology industry. The results obtained here offer new empirical evidence on the resource‐based view.

Teleworkers need to use information and communication technology (ICT) to communicate and collaborate with their team members, however, when new and complicated information systems should be used, this can lead to stress. Receiving adequate information and emotional support from team members could reduce the stress caused by technological complexity and subsequent work and occupational strains.

Participants (N = 400) teleworked at least half of their working hours and were employed in organizations with a minimum of 250 employees. Data from the online survey were analyzed using structural equation modeling.

Results demonstrate that aspects of informational and emotional communication contribute to perceived social support from team members, with emotional communication explaining more variance. Stress from technological complexity is mitigated by both supportive team communication and the extent of telework. Perceived stress from technological complexity, however, still increases work and occupational strains.

The findings emphasize the importance of supportive internal communication to foster a collaborative telework environment. Practitioners in internal communication need to encourage teleworkers to help each other with adequate information and provide also emotional support to overcome the negative effects of complex ICT.

The study shows that supportive communication among team members is important for teleworkers to reduce work and occupational strains, especially when facing difficulties with complex ICT.

As just‐in‐time delivery has become increasingly commonplace and customer demands continue to tighten, the importance of fast, reliable delivery performance cannot be overstated. This is particularly true for organisations competing internationally, where the complexity of the supply chain must be managed within a global network. A conceptual model is presented that identifies three basic dimensions of this complexity. Results support the linkage of uncertainty with performance, however, no evidence was found that increased technological intricacy or more complicated organisational systems hamper delivery performance. Managers appear to have adopted mechanisms to accommodate these last two dimensions of complexity.

Megaproject's construction is essential for the development and economic growth of any country, especially in the developing world. In Kuwait, megaprojects are facing many restrictions that discourage their execution causing a significant delay in bidding, design, construction and operation phases with the execution quality being affected. The objective of this study is to develop a complexity measurement model using analytic hierarchy process (AHP) for megaprojects in Kuwait, with a focus on the New Kuwait University multi-billion campus Shadadiyah (College of Social Science, Sharia and Law (CSSL)) as a case study.

The study applies a hybrid fuzzy analytic hierarchy process (FAHP) method to compare the results with those obtained using the conventional AHP method. This can facilitate the project management activities during the different stages of construction. Data were collected based on the results of a two-round Delphi questionnaire completed by seniors and experts of the selected project.

It was found that project modeling methodology was responsible for complexity. It was grouped under several categories that include technological, goal, organizational, environmental and cultural complexities. The study compares complexity degrees assessed by AHP and FAHP methods. “Technological Complexity” scores highest in both methods, with FAHP reaching 7.46. “Goal Complexity” follows closely behind, with FAHP. “Cultural Complexity” ranks third, differing between methods, while “Organizational” and “Environmental Complexity” consistently score lower, with FAHP values slightly higher. These results show varying complexity levels across dimensions. Assessing and understanding such complexities were essential toward the completion of such megaprojects.

The contribution of this study is on providing the empirical evidential knowledge for the priority over construction complexities in a developing country (Kuwait) in the Middle East.