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Boundary-spanning exploration through establishing alliances is an effective strategy to explore technologies beyond local search in innovating firms. The purpose of this paper is to argue that it is useful to make a distinction in boundary-spanning exploration between what a firm learns from its alliance partners (explorative learning from partners (ELP)) and what it learns from other organisations (explorative learning from non-partners (ELN)).

The authors contend that alliances play a role in both types of exploration. More specifically, the authors discern three types of alliances (inside ties, clique-spanning ties and outside ties) based on their role vis-à-vis existing alliance cliques. Clique members are highly embedded, and breaking out of the cliques through clique-spanning and outside alliances is crucial to improving explorative learning. Thereafter, the authors claim that clique-spanning ties and outside ties have a different effect on ELN and ELP.

The empirical analysis of the “application specific integrated circuits” industry indicates that inside ties have negligible effects on both types of explorative learning. Clique-spanning ties have a positive effect on ELP, but not on ELN. The reverse is true for outside ties. The results show that research on explorative learning should devote greater attention to the various roles alliance partners and types of alliances play in advancing technological exploration.

The literature only emphasises the learning from partners, focussing mainly on accessing their technology. In sum, alliance partners play different roles in exploration, and their network position influences the role they are able to play.

Smart industry initiatives focus on intelligent and interconnected cyber-physical systems. These initiatives develop complex technical architectures that integrate heterogenous technologies, causing significant organizational complexity. Tapping into the digital capabilities of distant partners while capturing profit from such innovation is demanding. Furthermore, firms often need to establish and orchestrate inter-organizational collaborations without prior relations or established trust. As a result, smart industry initiatives bring together disparate organizational forms and institutional environments, distinctive knowledge bases, and geographically dispersed organizations. We conceptualize this organizational capability as ‘distant capabilities integration’. This research explores the governance mechanisms that support such integration and their relation to value capture. We analyse 11 IoT case studies organized in three categories (process, product and technologies) of smart industry initiatives. Building on existing literature, we consider different ways to describe distance, including knowledge heterogeneity and organizational, geographical, institutional, cultural and cognitive distance. Finally, we describe the governance mode appropriate for upstream (developing foundational technologies) and downstream (leveraging existing distant technologies) smart industry initiatives.

The purpose of this paper is to propose a systematic approach to exploring potential partners for open innovation in order to facilitate the process of technological collaboration.

The proposed approach utilizes patent information that is considered the most effective data to investigate innovation activities by applying morphology analysis (MA) and generative topology map (GTM) to the process to identify the configurations of technologies and visualize the collected patent information. In particular, diverse informative indices can assist researchers in deriving appropriate partners for technological cooperation.

The hybrid approach that combines MA, GTM, and indices is useful to discover technological opportunity, identify necessary technologies and explore potential partners. The systematic process can overcome the limitations of existing approaches that depend on the insights and strategic decisions of top management, reflect a superficial relationship among firms and mostly fail to consider both theoretical and practical approaches to retrieve potential partners.

The results of this paper will help practitioners, academic researchers, and policy makers link a pair of partners who can maximize the synergy of collaboration in a systematic manner. The proposed approach is illustrated to show the validity of the process with a case of light emitting diode (LED) technology. In addition, the social cost for collaboration can be reduced by applying the proposed approach in open innovation.

This paper tackles the important issue of exploring appropriate partners by applying a systematic approach that utilizes text mining, MA and GTM because existing research mostly deals with ad-hoc processes. The proposed approach utilizes multiple methodologies of data mining and technology forecasting to derive promising technology areas in a systematic manner and then employs critical indices to explore proper partners. Thus, this approach considers both quantitative and qualitative methodologies to suggest a sophisticated tool for successful open innovation. Moreover, a real case – LED case was illustrated to demonstrate that the proposed approach can be employed to implement technological cooperation.

The aim of this study is to (1) construct a standard framework for assessing the capability of bioenergy enterprises' digital green innovation partners; (2) quantify the choice of partners for digital green innovation by bioenergy enterprises; (3) propose based on a dual combination empowerment niche digital green innovation field model.

Fuzzy set theory is combined into field theory to investigate resource complementarity. The successful application of the model to a real case illustrates how the model can be used to address the problem of digital green innovation partner selection. Finally, the standard framework and digital green innovation field model can be applied to the practical partner selection of bioenergy enterprises.

Digital green innovation technology of superposition of complementarity, mutual trust and resources makes the digital green innovation knowledge from partners to biofuels in the enterprise. The index rating system included eight target layers: digital technology innovation level, bioenergy technology innovation level, bioenergy green level, aggregated digital green innovation resource level, bioenergy technology market development ability, co-operation mutual trust and cooperation aggregation degree.

This study helps to (1) construct the evaluation standard framework of digital green innovation capability based on the dual combination empowerment theory; (2) develop a new digital green innovation domain model for bioenergy enterprises to select digital green innovation partners; (3) assist bioenergy enterprises in implementing digital green innovation practices.

Collaboration and acquisition have traditionally been observed as two alternative strategies when accessing external technologies. However, real option scholars have recently argued that firms can also engage in transitional technology sourcing trajectories where collaboration and acquisition are used as complementary strategies. While these real option scholars have identified factors that influence when partners are likely to shift from collaboration to acquisition, they remain silent on how such a transition can be effectively managed. Based on a multiple case study of four transitional technology sourcing trajectories between one new entrepreneurial and one established firm, this study therefore explores how the pre-acquisition collaboration stage and the post-acquisition integration are related to each other. Findings suggest that entrepreneurial companies may use the pre-acquisition collaboration stage as a period to evaluate the goodwill of the established partner. In addition, we point to the presence of pre-acquisition integration efforts and the extent of strategic convergence during the pre-acquisition collaboration stage as factors that substantially influence the success of the post-acquisition integration process in transitional governance trajectories.

To review the alliance partner selection criteria research in order to shed light on how entrepreneurial firms should choose established firms as alliance partners.

Critical differences between entrepreneurial and established firms are presented to emphasize the special risks in alliances between these two types of firms. Extant literature on partner selection criteria is reviewed to show that adequate research adopting the perspective of entrepreneurial firms is lacking. A list of recommendations is developed for entrepreneurial firms in their choice of established firms as alliance partners. Illustrative cases are presented of both successful and unsuccessful cases of strategic alliances between entrepreneurial and established firms.

Provides evidence that entrepreneurial firms have not been adequately recognized in the research on partner selection criteria in strategic alliances. Based on a comprehensive review of the literature, the paper identifies 15 intrinsic and alliancing difference factors between entrepreneurial and established firms.

Five key guidelines are developed to assist entrepreneurial firms in selecting established firms as alliance partners.

This paper fills a gap in the two literatures on entrepreneurship and strategic alliances regarding research‐based guidance available for entrepreneurial firms in the selection of established firms as partners in strategic alliances.

Most research has emphasized the interpersonal components of trust involved in establishing ecommerce relationships while limited attention has been paid on the technology and its interactions on e‐commerce relationships. This paper examines the impact of two forms of trust in e‐commerce relationships namely; technology trust relating to institutional structural assurances and security mechanisms embedded in e‐commerce technologies; and relationship trust referring to trading partners competent, predictably, reliability, and benevolence in the e‐commerce relationship. Based on the findings of a previous study that examined inter‐organizational dyads in business‐to‐business e‐commerce participation, we identify and illustrate how e‐commerce relationships evolve applying four modes in e‐commerce relationships namely; learning, monitoring, collaborating and distancing modes. We develop a number of propositions to facilitate empirical testing and indicate the framework’s key implications for future research and managerial practice.

The purpose of this paper is to investigate how international R & D alliances are formed during industry transition from the point of view of the local Chinese partner.

Review of industry data provided by Chinese Statistical Office coupled with four in-depth case studies.

The nature of the technology, the characteristics of partners and the previous cooperation experience between partners are significantly related to the R & D alliance formation. The research also suggests that during this fast-growing transition period, Chinese local firms preferred non-equity contractual agreements over equity joint venture such as R & D alliance modes, and Chinese local firms favoured American and European multinational corporations (MNCs) as their alliance partners over MNCs from other countries, including the highly developed Japan and Korea.

Single-industry focus (telecommunications), and anonymization of cases because of confidentiality of case firms. Single-country focus (China).

Firms in China and other emerging countries can improve their technological capability (TC) by choice to facilitate future alliance formation to access and learn the latest technology from their alliance partners, especially during the transition period of an industry and when mature and emerging technologies co-exist.

This paper refines alliance theory by focusing on an industry in transition and analyses formation decision factors from the point of view of the smaller domestic partner – usually studies do not differentiate as to industry maturity and inequality between partners.

Firms tend to transfer more knowledge in technology joint ventures compared to contractual technology agreements. Using insights from new institutional economics, this chapter explores to what extent the alliance governance association with interfirm knowledge transfer is sensitive to an evolving industry norm of collaboration connected to the logic of open innovation. The chapter examines 1,888 dyad-year observations on firms engaged in technology alliances in the U.S. information technology industry during 1980–1999. Using fixed effects linear models, it analyzes longitudinal changes in the alliance governance association with interfirm knowledge transfer, and how such changes vary in magnitude across bilateral versus multipartner alliances, and across computers, telecommunications equipment, software, and microelectronics subsectors. Increases in industry-level alliance activity during 1980–1999 improved the knowledge transfer performance of contractual technology agreements relative to more hierarchical equity joint ventures. This effect was concentrated in bilateral rather than multipartner alliances, and in the software and microelectronics rather than computers and telecommunications equipment subsectors. Therefore, an evolving industry norm of collaboration may sometimes make more arms-length governance of a technology alliance a credible substitute for equity ownership, which can reduce the costs of interfirm R&D. Overall, the chapter shows that the performance of material practices that constitute innovation ecosystems, such as interfirm technology alliances, may differ over time subject to prevailing institutional norms of open innovation. This finding generates novel implications for the literatures on alliances, open innovation, and innovation ecosystems.

To meet the complex technology needs of retail clients, technology providers must work in a close partnership with their clients and co-envisage a strategic vision for the role that technology should play in the client’s value chain. However, many providers lack the sales capabilities needed to do this. This study aims to examine the need for providers to transition from transaction-oriented to solution selling-oriented approaches. To do so, this study explores the impact outcomes of a knowledge-exchange intervention co-designed with a partner from industry.

Building on empirical insights from an ongoing research programme that examines retail technology implementations, this study developed a knowledge exchange intervention consisting of planning discursive channels, co-defining the scope, co-developing knowledge, executing the intervention and assessing impact outcomes. Discursive channels – multi-lateral communication channels that allow researchers to work collaboratively with the research partner and other stakeholders – emerge as a critical knowledge-exchange mechanism to generate impact outcomes.

The knowledge-exchange intervention provides impact by enabling the industry partner to establish cross-functional solutions teams, assess retail clients’ technological needs, aid decision-making, define barriers to implementation and develop a coaching approach to support clients’ technological investments. Impact outcomes vary in magnitude, intensity, scope and duration and can also be unintentional where unplanned changes are embedded into practice.

This impact framework offers a roadmap to orchestrate impact outcomes that emerge from academic enquiries.