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The purpose of this research is to focus on the role of trust in knowledge sharing. Social capital researchers have put forward trust as an important force behind the sharing of knowledge. This study aims to investigate whether trust indeed explains knowledge sharing relationships, or whether there are in fact much more important drivers of the sharing of knowledge in new product development projects.

A survey study was carried out in large new product development projects, including 23 teams and 91 individuals.

The main finding is that trust is a poor explanatory of knowledge sharing. Team membership, on the other hand, has the largest effect on the density of knowledge sharing relationships. Social capital thus does not reside in trust but in team membership, especially for longer‐lived teams.

There should be more attention for other aspects affecting knowledge sharing, including team characteristics.

This article will be of use to organizations conducting new product development, wishing to manage knowledge sharing as social capital. Moreover, this article provides more insight on the value of the trust in knowledge sharing and offers directions for future theory development.

The purpose of this paper is to identify the NPD performance success measures that manufacturing organisations use to assess the success of their new products.

Based on relevant literature review and in-depth interviews, a structured questionnaire was developed as a primary data collection method. Questionnaires were distributed to a sample of 558 manufacturing organisations in Jordan, out of which 355 were returned and valid for the analysis. Exploratory and confirmatory factor analyses were applied to reveal NPD performance success measures dimensions.

This study empirically showed that manufacturing organisations in Jordan use a multidimensional construct for NPD performance success measures to assess the success of their new products. The multidimensional construct consists of NPD financial performance, NPD internal learning, NPD capabilities improvement, NPD knowledge sharing and NPD marketing performance. The findings indicate that NPD financial performance is still the dominant dimension amongst the manufacturing organisations while measuring NDP performance. Also, the study has developed an inductive model of NPD performance success measures which shows the construct’s dimensions complexity.

The fact that the paper is a single country study focusing on the manufacturing industry limits its generalisation to other industries/contexts. The paper’s focus on manufacturing organisations limits its contribution to the manufacturing sector. The services sector is a rich field for NPD performance success measures, in addition to being an important contributor to the economy of most, if not all, countries. Further, the paper focuses on only five dimensions of NPD performance success measures, other dimensions of NPD performance success measures might add more insights to their effect on NPD performance success measures.

Utilising the findings of this study can help managers make sense of NPD success and failure and plan the NPD strategy and activities across a range of differing situations. The major contribution of this study is increasing the ability of managers to improve their skills and capabilities and focus on the dimensions of NPD success in the best way that enables them to respond effectively to uncertainty caused by changes in the product life cycle which in turn might affect the performance of NPD. The findings urge managers to deal with NPD as a complex process that should be integrated within corporate, business and functional strategies of the firm.

The originality of this paper stems from its multidimensional construct of NPD performance success measures as well as in developing an inductive model that shows the complexity of NPD performance dimensions that can be used for assessing the success of new products. The study also has its originality since it is the first empirical work conducted on the manufacturing sector in an emerging market business environment, Jordan.

This study purports to examine the effects of a joint reward system (JRS) under a new product development (NPD) setting by identifying four neglected aspects of JRS that contains a procedural view (participation of reward decision and reward contingent on NPD phases) and a monetary view (risk‐free to participate and over‐reward incentive) in a conceptual model, and then to empirically test their effects on knowledge sharing and NPD performance.

Using regression analysis, the proposed model was tested on 233 valid respondents (112 in R&D, 50 in marketing, and 71 in manufacturing), including 92 from electronics firms, 87 from semiconductor firms, 29 from biotechnology firms, and 25 from pharmaceutical firms in Taiwan.

The results indicated that risk‐free to NPD project members is the most salient aspect of JRS on knowledge sharing and NPD performance. Joint determination of reward allocation was found to be a favorable JRS for only marketing and NPD performance. Rewards contingent on NPD phases have shown conflicting results between R&D and marketing. No relationship was found for over‐reward incentive on knowledge sharing and NPD performance. Despite the mixed effects of JRS, knowledge sharing is a strong predictor of NPD performance.

This study extends understanding of the complexities of rewards on knowledge sharing and NPD success by decomposing and testing four unique aspects of JRS, which sheds a new light on NPD researches.

This paper aims to explore how the effect of knowledge sharing through mergers and acquisitions (M&As) on new product development (NPD) performance is contingent upon two different types of control mechanisms: behavior control and outcome control.

Leveraging the theory from transaction cost economics, this study provides answers regarding the roles of behavior and outcome controls. The hypotheses were tested empirically across a sample of 143 UK cross-border M&A firms.

The results provide the increasing call for an integrative perspective and theory in the M&A literature in that knowledge sharing through M&As is deemed decisive for NPD performance, and while both control mechanisms are effective, behavior control is more effective in enhancing NPD performance than outcome control.

The relevant M&A studies lack insights into the use of control mechanisms as a way to monitor the target firm’s behavior and performance and reduce the risk of its opportunistic behavior. Appreciating the need for M&A literature that elaborates control strategy and structure, this study incorporates behavior control and outcome control into M&A mechanisms.

With the emergence of the sharing economy paradigm, the process of innovation is no longer unidirectional, but cyclical. This paradigm shift requires a better understanding of social actors to fully leverage the promise of co-innovation in the sharing economy. To this end, the purpose of this paper is to develop a classification model to profile social actors based on their motivation to participate in different co-innovation activities.

A preliminary case study was first conducted to identify actors’ motivations to continuously participate in co-innovation activities. Next, a survey was administrated to validate the measurement model and then a discriminant analysis was run on a sample of 244 actors to classify actors based on their willingness to participate in three forms of co-innovation activities. Lastly, the resultant classifiers were cross-validated.

The results indicate that financial gains, entrepreneurship and learning are significant predictors of ideation (sharing new ideas). Enjoyment and learning are strong indicators of collaboration (sharing knowledge or experience), whereas networking, enjoyment, and altruism are most strongly related to socialization (sharing network and connections). These findings highlight three classes of social actors – ideators, collaborators and networkers – based on motivational differences.

Co-innovation among individual inventors is an understudied aspect of the sharing economy. This study provides a theoretically parsimonious classification model to profile social actors, predict the sharing activities in co-innovation networks, and highlight the importance of platform design to appeal to different classes of potential contributors in collaborative innovation.

The purpose of this paper is to examine if, and how, investments in IT at different levels can create new product development (NPD) capabilities in terms of IT leveraging competence in NPD and NPD effectiveness. The paper also investigates how Iranian small businesses (SBs) can achieve desired marketing performance through developing these capabilities.

The paper is consistent with the perspective on IT‐enabled organizational capabilities. A questionnaire‐based survey was conducted to collect data from 218 businesses or NPD managers of SBs in Iran.

IT leveraging competence in NPD and NPD effectiveness are valuable key capabilities that transform the value of IT resources to a firm's performance for Iranian SBs. Investments in both technical and human IT resources have positive effects on the development of NPD capabilities, and thus performance in the surveyed SBs.

Among other limitations, relying on a small sample size and cross‐sectional data of this research, and lack of generalizability of findings tend to have certain limitations.

The results suggest that the investments in both technical and human IT resources increase firms' ability to develop effectiveness in NPD. However, IT investments strategy should be aligned with effective use of IT functionalities, as the effect of IT leveraging competence in development of NPD effectiveness is more pronounced. Second, IT leveraging competence in NPD and NPD effectiveness are important intermediate organizational capabilities through which the benefits of both technical and human IT resources are converted into performance effects at the firm level for Iranian SBs.

This case study explores how Iranian SBs can develop NPD capabilities, and subsequently, marketing performance, a topic that has received little attention to date.

The creative process through which the territorial resources, knowledge and culture are used, exploited and configured to match needs and to achieve congruence with the changing business environment has become a crucial process for competitiveness. This is even more relevant for economies of developing countries which are continuously struggling to reap the benefits of globalisation, as well as to grasp the new opportunities for competitiveness. As such, this paper aims to try to concentrate on the dynamic perspectives of the creative economy of countries by distinguishing between the potentialities and performance. The paper tackles the influence that creativity capacities might have on performance of countries.

The methodology consists in identifying creative economy indicators from a diverse data set of the World Economic Forum and distinguish them between potential and performance indicators.

Data reveal as good progress and emphasis is being devoted to increasing the level of creativity; however, the Balkan countries still holdup in their capacity to boost innovation.

The paper provide a new focus of research on creativity measurement that is significant for understanding what creative capacities territories possess and the ability to make proficient use for growth and innovation.

This paper proposes a new operational framework for measuring and interpreting the creative economy indicators by identifying not only indicators that gauge the potentialities of a country, but also indicators that are linked with the performance dimension, as well as the relationship amongst them.

The fourth industrial revolution and its disruptive technological advances are leading to continuous significant changes in the labour markets, which affect employees and employers of all sizes.

Currently, organisations are experiencing considerable skill shortages and talent mismatches: the skills that organisations are looking for do not align with those available in the labour market. This means that matching available candidates on the market with job vacancies is unlikely. In addition, the increasing wage pressure in occupations linked with the most in-demand skills and in high-skills industries has become a reality.

The immaterial assets of a business, such as the competences and skills of its workforce and leaders, are the most significant elements in providing a competitive advantage is a fact no one in the present era would argue against.

While big corporations dispose more resources and capabilities to deal with these challenges, small businesses – considered the foundation of many healthy communities – have limited assets to face such global and complex dynamics.

This chapter acknowledges the significance of small businesses in the global landscape and their key role as ‘job generators’ in enabling an inclusive economic growth in developed as well as in emerging countries. And in this context gives focus to the crucial issue how of small businesses can overcome the skill and the talent gap, and which strategic shifts they can put in place in order to withstand these environmental constraints.

To this end, this chapter provides a broad investigation of international reports discussing the role played by external factors – such as governments and their policy frameworks – and the concept of knowledge sharing.

Moreover, it examines the influence of internal factors. Specifically explored is the key role of the human resources function in attracting skilled graduates, upskilling its workforce, establishing a total reward and talent development strategy and engaging in job design.

This chapter is of particular relevance to owner managers, general and HR managers of small businesses, but also public officials and private institutions. It identifies and offers practical solutions for small businesses that aim to transform themselves to successfully cope with skills shortages and the war for talent in the age of digitalisation.

The application of network theory and social network analysis (SNA) to tourism and hospitality is recent. Nonetheless, several authors have been applying the method contributing to regional planning, local-level tourism networks, tourism policy and governance, innovation, entrepreneurship, knowledge transfer, and learning. This chapter aims to characterize the use of SNA in tourism and hospitality research. Specifically, it intends to: (i) present the framework of SNA in a methodological perspective; (ii) perform a bibliometric analysis of SNA use in tourism and hospitality research; (iii) systematize the dimensions and metrics that researchers can use to apply SNA, namely the relevance for tourism; and (iv) present a case study analyzing tourism innovation networks. This chapter brings important contributions to tourism and hospitality research and practice, by focusing on the theoretical framework and practical application of SNA, providing relevant conceptual and practical knowledge that will empower researchers to use this method in tourism and hospitality studies.

High‐tech industries in Taiwan exist in an environment with diverse product requirements and intense cost reduction and information integration stress. They must develop new operational directions to increase industry competitiveness. Therefore, Taiwan’s high‐tech industries must continue R&D and creativity, establish knowledge sharing mechanisms and improve new product development (NPD) performance. This research analyzed and explored the influences of knowledge management (KM) and knowledge sharing mechanisms introduced by Taiwan’s high‐tech industries on new product development performance. The relationship between knowledge management capabilities and NPD performance is studied. This research considers the intervening industry and corporate position variables. Taiwan’s high‐tech industries have gradually entered the era of IT region integration and application with competitive advantage creation based upon core techniques. The in‐depth study of knowledge management and knowledge sharing introduced by the high‐tech industry revealed double meanings in academic and practical applications. The research results showed the following: (1) the stronger the knowledge management capabilities of Taiwan’s high‐tech industries, the more significant the NPD performance. (2) The better the knowledge sharing mechanism in Taiwan’s high‐tech industries, the more significant the NPD performance. (3) Corporate scale is not necessarily the critical factor in NPD success and the influence of corporate scale on NPD performance did not show significant differences. (4) The stronger the degree of leading corporate techniques, the more significant the NPD performance.