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This paper aims to discuss the challenge for the classical idea of professionalism in understanding the Chinese software engineering industry after giving a close insight into the development of this industry as well as individual engineers with a psycho‐societal perspective.

The study starts with the general review of the sociological concept of profession, professional and specialization of knowledge. Together with revealing the critical challenge from the empirical field of software engineering industry regarding its professionalization, a critique of the neglect of subjective agency in classical conception of professionalism in sociology theory and methodology is set out.

A case study with interpretation of the subject's continuously developing identification with their specialization in knowledge and occupation from their narration of career experience reveals the dynamics in this development process relating to individual, social practice and societal factors.

This paper contributes to empirical research of analyzing the professionalization process of software engineering and software engineers in relation to the concept of professionalism, and it contributes theoretically by discussing the challenge of this process to the development of professionalism within this highly knowledge‐based industry in a Chinese societal context.

The purpose of this paper is to focus on the distinction between smart specialisation and smart specialisation policy and it studies under what conditions a smart specialisation policy is necessary.

A conceptual framework is built based on historical evidence of successful dynamics of structural changes at regional level qualified as “smart specialisation”. The identification of market and coordination failures that are likely to impede the occurrence of spontaneous process of smart specialisation makes a good case for a smart specialisation policy.

The paper highlights important design principles for the policy process that should help to minimise potential risks of policy failures and policy capture.

The paper does assess the effect of smart specialisation on innovation and growth at regional level because it is too early to observe and measure effects. The paper confines itself to conjectures about the effects of such a policy.

The paper makes recommendations and explains some of the practicalities about the implementation of the policy at regional level.

The paper is one of the first dealing with the topic of smart specialisation policy.

The purpose of this paper is to provide a methodological framework for evaluating the impact of open innovation (OI) adoption on start-up ventures at the knowledge domain level, taking into account the technological specialization and the quality of innovation output.

The framework employs patent data for investigating joint development activities between start-ups and partners, thus defining an openness degree of R&D. The partner typology and the levels of specialization on the knowledge fields affected by each invention are investigated. The methodology is tested on a sample of bio-pharmaceutical start-ups.

On average, the openness level in the start-up phase is higher than the consolidation one. Furthermore, the higher the level of openness during the start-up phase, the higher the propensity to collaborate with scientific organizations. And yet, the occurrence of R&D collaborations is positively correlated to the level of specialization on the knowledge fields involved in joint development activities.

OI strategies are valuable for start-ups, particularly in the bio-pharmaceutical industry, since their adoption improves the quality of innovation output. This is particularly true when R&D collaborations are established with scientific entities.

This work investigates the impact of OI adoption on start-up ventures at the knowledge domain level, by employing objective and standardized data. Hence, the methodology can be considered as a first step in developing a useful tool for managers, researchers and business analysts.

We examine the evolution of vertical specialization in three industries: chemicals, computers, and semiconductors. Vertical specialization is the restructuring of industry-wide value chains, such that different stages are controlled by different firms, rather than being vertically integrated within the boundaries of individual firms. In some cases, vertical specialization may span international boundaries and is associated with complex international production networks. After decades of vertical specialization, firms in the chemical industry are re-integrating stages of the value chain. By contrast, the semiconductor and computer industries have experienced significant vertical specialization during the past ten years. We examine how and why these contrasting trends in vertical specialization have co-evolved with industry maturation and decline, and underscore the importance and role of both industry factors and business strategies necessary for industries to become more specialized. We also consider the effects of vertical specialization on the sources of innovation and the geographic redistribution of production and other activities. We conclude that the evolution of vertical specialization in these three industries has both reflected and influenced the strategies of leading firms, while also displays industry-specific characteristics that are rooted in different technological and market characteristics.

Complexity is endogenous for humans and increasing at an accelerating rate. At the same time individual lives become better and even simpler. This seems to be a paradox for which this paper aims to offer a solution.

The paradox and its solution are explained in some detail.

Specialisation is the missing link which fuels overall complexity and shelters individuals from it. Specialisation is a good solution for most problems arising from increasing complexity, although it results in some problems of its own and general knowledge is still needed as well as general education to obtain this knowledge.

The presented argument is quite general in itself and needs further elaboration and empirical testing.

Aims and limits of specialised as well as general education are discussed.

The right kind and amount of general education increases welfare and efficiency.

This connection between complexity, specialisation and education has not been shown before (at least to the best of knowledge of the author, who has the same problems to deal with the complexity of all human knowledge as everybody else).

The paper underpins an advanced domestic manufacturing that comes with some advanced employment specialization status of individual industries as the key determinant of foreign direct investment (FDI) and considers how FDI in the food processing industry in India relates to this focal point.

This paper investigates how inward FDI inflows relate to domestic investment and revival in the industry using Auto Regressive Distributed lags (ARDL) model over the period 2000–2017. The model allows for different specifications to study whether FDI is responsible for the revival or the prior revival induces the FDI.

The results show the lack of proper advanced specialized employment status of the food processing industry. FDI in food processing is mainly guided by exports and imports opportunities and FDI plays no role in the revival of advanced growth in the industry. This finding explains why FDI in the industry is predominantly service sector oriented.

The paper underlines (1) the proper conceptualization of human capital as an important determinant of FDI; (2) reinterpretation of Kaldor's technical progress function that uncovers how employment dynamics embedded in intermediate goods specializations play a key role in supporting a higher pace of investment (and FDI); (3) labor costs' importance should involve not only the wage rate but also the advantages that a specialized employment base and (4) FDI in manufacturing demands a greater policy focus on developing domestic bases of intermediate goods specializations.

In this study, the authors unpack the micro-level processes of knowledge accumulation (experiential learning) and knowledge application (problem solving) to examine how task allocation structures influence organizational learning. The authors draw on untapped potential of the classical garbage can model (GCM), and extend it to analyze how restrictions on project participation influence differentiation and integration of organizational members’ knowledge and consequently organizational efficiency in solving the diverse, changing problems from an uncertain task environment. To isolate the effects of problem or knowledge diversity and experiential learning, the authors designed three simulation experiments to identify the most efficient task allocation structure in conditions of (1) knowledge homogeneity, (2) knowledge heterogeneity, and (3) experiential learning. The authors find that free project participation is superior when the members’ knowledge and the problems they solve are homogenous. When problems and knowledge are heterogeneous, the design requirement is on matching specialists to problem types. Finally, the authors found that experiential learning creates a dynamic problem where the double duty of adapting the members’ specialization and matching the specialists to problem types is best solved by a hierarchic structure (if problems are challenging). Underlying the efficiency of the hierarchical structure is an adaptive role of specialized members in organizational learning and problem solving: their narrow but deep knowledge helps the organization to adapt the knowledge of its members while efficiently dealing with the problems at hand. This happens because highly specialized members reduce the necessary scope of knowledge and learning for other members during a certain period of time. And this makes it easier for the generalists and for the organization as a whole, to adapt to unforeseen shifts in knowledge demand because they need to learn less. From this nuanced perspective, differentiation and integration may have a complementary, rather than contradictory, relation under environmental uncertainty and problem diversity.

The paper aims to combine TMS with knowledge management outcomes to investigate their impact on team performance based on an integrative research framework. Two types of social ties (instrumental ties and expressive ties) are also investigated as moderators to explore their impact on the relationship between TMS and knowledge quality.

The authors conduct a survey to test their research hypotheses. Their final data set consisted of 249 individuals from 61 teams in 34 companies.

Results indicate that TMSs have a positive impact on team performance mediated by knowledge management outcomes. The authors further found that instrumental ties could strengthen the relationship between specialization and knowledge quality, while weakening the influence of coordination on knowledge quality. In contrast, the results showed that expressive ties weaken the relationship between specialization and knowledge quality, while strengthening the influence of coordination on knowledge quality.

This study involved a cross‐sectional design instead of investigating team work from a long‐term perspective. Future research could conduct a longitudinal project to investigate how TMSs form and how TMSs at different levels of maturity may affect team performance through perceived knowledge satisfaction. Further, the authors only examined a few of the factors as intermediate outcomes of KM from the knowledge perspective rather than the capability of the team.

When initiating KM projects, managers should focus on employees’ perceived knowledge satisfaction since the essence of KM is to focus on people, specifically the way people think, work and interact. Simply assigning employees with different types of expertise into a single team is unlikely to produce the desired results unless they can develop mutual credibility and coordinate their tasks effectively. To achieve such outcomes, they will need to feel comfortable in their work context – and comfortable to exchange knowledge with their team members.

The authors’ research makes significant contributions to research and practice. This study advances theoretical development in the areas of TMS and KM by illustrating their combined impact on team performance. It contributes to a better understanding of how TMS can enhance team performance through KM mechanisms. Moreover, while the relationship between TMS and team performance has been confirmed in previous research, the underlying mechanisms have seldom been explored. This study fills the gap by considering KM outcomes, comprising knowledge quality and perceived knowledge satisfaction. Although both have been shown in previous research to be related to performance, the authors investigated them specifically as mediators between TMS and team performance through a KM perspective. The present research proposes and confirms the positive influence of perceived knowledge satisfaction on team performance. The study also highlights the need to examine TMS’ dimensions separately, not as a single construct.

This paper aims to analyze factors based on organizational knowledge management (KM; transactional memory systems and knowledge-oriented leadership [K-OL]) that help firms to mitigate conflicts based on task management at work, with the aim to improve their innovation capabilities (IC). The knowledge-based view of the firm, conflict management theory and cognitive collective engagement theory have been used to build a model of relationships that connects the development of positive KM contexts and management of dysfunctional conflict with IC improvement.

Data survey collected from inland hotel establishments in Spain is used to test seven hypotheses by means of structural equations modeling, applying the partial least squares technique. Direct, indirect and mediating relationships between variables are examined from the structural path model.

The results confirm that, as expected, IC improve when K-OL and transactive memory systems (TMSs) are properly implemented by hotel establishments, which leads them to reduce negative effects of task management conflict (TMC). Significant direct effects are found between the key variables of the study and also a significant indirect effect between K-OL and IC through TMS reinforcement and the mitigation of TMC.

This paper provides useful ideas for hotel managers about how to improve KM contexts in their establishments while avoiding TMC. Efforts devoted to creating those contexts by hotel establishments are shown to be effective to improve their IC and create competitive advantages.

The analysis of IC improvement by studying TMC mitigation had not been researched to date by the KM literature. The consideration and testing of a model that integrates KM-related tools such as K-OL and TMS to avoid TMC in the hotel industry is the main contribution of this study.

The purpose of this paper is to study how transactive memory systems (TMS) facilitate the transfer and absorption of knowledge in the presence of quality management (QM) within a university research and development (R&D) environment.

The data come from a simple random sampling of 257 Spanish university R&D groups in nine different areas of knowledge. To verify the hypotheses, the authors used multiple linear regression analysis with a moderating effect.

The conclusions show that the relationship between knowledge transfer (KT) and TMS is significant when QM practices are included as a moderating variable but that this is not the case for knowledge absorption (KA), which does not show any effect.

The effects described were found in a sample composed of various R&D sectors taken from a single country and not distributed equally. Further, the perception analyzed represents the judgment of a single manager.

It is interesting to study this interaction in university R&D because of the important role R&D plays in the development of regions. Improving the internal processes of this research helps to make its results more competitive. This study contributes information on non‐business management and introduces university R&D to the use of QM practices.

The authors found no studies that test empirically the moderating effect of QM practices on the relationships studied in university R&D. The paper's results contribute information to help fill this gap and demonstrate once again that QM practices can be applied to any environment.