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By drawing on various theoretical approaches and a gender perspective, this paper aims to examine business model (BM) experimentation as a step towards BM experimentation capabilities as an outcome and, as such, a key antecedent to firm performance.

In this paper, using a unique data set of 444 European small and medium-sized enterprises (SMEs), the authors draw on various theoretical perspectives to devise a structural equation model that examines BM experimentation as a step towards business model innovation (BMI) as an outcome and, as such, a key antecedent to firm performance. Potential differences are examined between female-owned and non-female-owned businesses with regard to hypothesized relations.

Multi-group analysis results reveal that drivers of BM experimentation and the paths linking BM experimentation to overall firm performance are different for female owners in comparison to male owners.

Theoretical and practical implications are various. For SME entrepreneurs, experimenting with their BMs does lead to improved performance.

Theoretical and practical implications are various. For SME entrepreneurs, experimenting with their BMs does lead to improved performance.

Despite the increasing number of papers focussing on the relationship between BM and firm performance, the focus on female entrepreneurship, gender differences and BMI, more specifically the process of BMI as BM experimentation, is relatively rare.

Because of the attention increasingly being focused on digital transformation, interest in business models of platform-enabled ecosystems is rising rapidly. Although there are different theoretical views on the role of ecosystems, a synthesis of research, with a focus on governance and orchestration in dynamic, multi-industry eco-systems, is lacking.

A systematic literature review was conducted by following a rigorous search protocol in the scholarly databases covering both journal articles and conference papers These papers were subsequently filtered, and finally, 48 relevant papers were selected for analysis.

The review identifies five key aspects of platform governance design that need close consideration: the meta-organisation or ecosystem design, coordination mechanisms, mechanisms for value co-creation, value appropriation mechanisms and architectural principles. To achieve balance among a set of competing demands, platform leaders need to devote adequate attention to these aspects.

Based on a literature review, the authors provide an overview of underlying theoretical views, research methods and key trends to develop a sound theoretical grounding for research on platform governance design. The paper also suggests research gaps in the existing literature and sets directions for researchers to strengthen the understanding of effective platform governance design. The paper also provides valuable information to managers in developing or leading a successful platform ecosystem.

The paper uses existing literature published in this topic and original in nature.

This paper aims to explore how digital technologies have forced small- to medium-sized enterprises (SMEs) to reconsider and experiment with their business models (BMs) and how this contributes to their innovativeness and performance.

An empirical study has been conducted on 338 European SMEs actively using social media and big data to innovate their BMs. Four in-depth case studies of companies involved in BM innovation have also been carried out.

Findings show that the use of social media and big data in BMI is mainly driven by strategic and innovation-related internal motives. External technology turbulence plays a role too. BMI driven by social media and big data has a positive impact on business performance. Analysis of the case studies shows that BM is driven by big data rather than by social media.

Research into big data- and social media-driven BMs needs more insight into how components are affected and how SMEs are experimenting with adjusting their BMs, specifically in terms of human and organizational factors.

Findings of this study can be used by managers and top-level executives to better understand how firms experiment with BMI, what affects business model components and how implementation might affect BMI performance.

This paper is one of the first research contributions to analyse the impact of digitalization, specifically the impact of social media and big data on a large number of European SMEs.

To understand why the penetration of handset-based mobile payment in most countries is still low has been an important research topic for the last 15 years, and it has been analyzed from different perspectives. However, the analysis of a single aspect cannot provide a sophisticated answer to the complicated underlying question. The purpose of this paper is to understand how a relatively successful m-payment ecosystem is created and sustained through the coopetition of various actors.

To that end, the authors analyze the case of Alipay wallet, the m-payment service provider with the largest market share in China, and focus on understanding the motivations and subsequent actions of the organizations cooperating in the Alipay wallet core ecosystem.

The results show that actors with heterogeneous and complementary resources can forge sustainable collaboration. Within an ecosystem, although always constrained by resources and capabilities, the actions that the core actors take and the resulting power imbalances are dynamically changing, reflecting actors’ aim of reducing uncertainty.

The main limitation of this case is that it was conducted in a Chinese context, which has specific features that may not apply to other cases. In addition, this study is based on a single case study in a single country, without comparing the results to any other cases or countries. Therefore, some modifications may have to be made when applying the framework and generalizing the results.

With regards to the practical perspective, the Alipay case may serve as an example that other providers follow, taking similar actions to increase the dependency of others and reduce their own dependency on others. It is helpful to take a keystone strategy to create value within the ecosystem and share this value with other participants. Moreover, Alipay acts as the platform provider, in addition to managing value creation within the ecosystem and sharing that value with the other participants. Alipay focuses on the business and strategic needs of the core actors, without threatening their main business, for example, Alipay focuses on micro-payments, which does not pose a direct competition to banks, who mainly rely on macro-payments to generate profit. Micro-payments are often related to high transaction costs for banks. In addition, although it is difficult to define the boundaries of actors in the ecosystem, the core business of every actor is the key competitive or even survival condition. This notion should be taken into consideration by actors whose actions affect the business of other ecosystem partners. For instance, Alipay will not aim to become a bank, as they know that if they do so, they cannot connect any other bank to their platform. In other words, the scope and boundary of the actors are clearly identified so that the core business will not be threatened. Sords, we can learn from Alipay that it pays off to focus on one area, and not to let your competitors challenge you.

The authors proposed the StReS framework for analyzing a business ecosystem by combining resource-based review, resource dependency theories and network analysis for investigating the motivations of the organizations cooperating in the core ecosystem and the actions they have taken to reduce dependency and uncertainty.

The purpose of this paper is to demonstrate and evaluate the prioritization and categorization method (PCM), which facilitates the active participation of process stakeholders (managers, owners, customers) in process assessments. Stakeholders evaluate processes in terms of effectiveness, efficiency and relevance against certain contextual business and industry factors. This collective evaluation serves as a foundation for the management decision-making process regarding process improvement and redesign.

The PCM is examined based on a case study at Ericsson. In total, 55 stakeholders, representing different organizational levels and functions, assessed eight core processes. Follow-up interviews and feedback after the evaluation sessions were collected for triangulation purpose.

The PCM helps Ericsson evaluate its processes within business context and industry environments. The results show that, to realize seamless end-to-end processes in the eight assessed processes, Ericsson has to make a greater effort to improve its process structures, governance and culture for fulfilling the needs of future business. Ericsson Steering Group is satisfied with the insights provided and has decided to train more stakeholders to use PCM.

This research is based on a single case within a specific organizational setting. The results may not be necessary generalizable to other business and industry settings. Organizations need to configure PCM in consideration of their own processes and business contingencies to explore and fulfil their process improvement purposes.

This paper presents a new context-aware, easy-to-use and holistic method for business process management (BPM), the PCM. The method requires the active engagement of stakeholders, it focusses on developing dynamic BPM capabilities and fully embeds organizational contingencies and contextual factors in the decision-making regarding BPM. This paper contributes a novel method to explorative BPM.

The purpose of this paper is to analyse how different strategic goals of (micro-, small- and medium-sized firms=SMEs) relate to the business model innovation (BMI) paths that SMEs take when improving their business.

The authors conducted 11 in-depth case studies involving SMEs innovating their business models (BMs).

The authors found evidence that strategic goals of SMEs (start new business, growth and profitability) lead them to alternative innovation path in terms of BM components affected. Growth seekers start from the right-hand side of a BM Canvas, while profitability seekers start from the back end, the left side of a Canvas; and new businesses adopt a cyclical approach considering BM components in turn, while at the same time redesigning and testing the BM. The findings of this study also indicate that all three paths gradually lead to improvement in several BM components.

Findings indicate that a strategic management view in which strategic goals define BMI also applies to SMEs. The distinctive BMI paths that the authors identified provide evidence to suggest that, although the SMEs may not have an explicitly formulated strategy, their strategic goals determine the type of improvements they make to their BM. All three SME groups started their improvements from different BM components and changed several elements in their BMs in a specific order, forming distinctive BMI paths. Finally, to understand the BMI in SMEs better, more research is needed into BMI processes and into the way BMI is managed in SMEs.

The findings of this study help SMEs to anticipate the next steps in their path towards an improved BM. By mirroring their approach to the BMI paths, they can better manage their BM makeover process and focus on their innovation activities. For providers of BMI tools and methods, the study indicates which SME innovation tasks could be supported by tools and how the tools should be aligned with the BMI paths.

BMI is attracting growing attention in both research and practice. However, knowledge concerning BMI in SMEs is limited. The authors contributed to BMI research by focussing on the BMI paths of SMEs, i.e. the often sequential, non-linear and iterative steps taken to improve the business by making changes to specific BM components.

Due to the convergence of rapid business developments and digitization challenges, service orientation is back on the research agenda as a concept to improve firms’ business services. Yet, little is known about the type of determinants that are relevant and to what degree they affect a firm’s service-oriented strategy.

Building on structural equation modeling (SEM) and a unique data set of 131 international firms from different continents, the authors identify and analyze the key determinants in the context of a firm’s service-oriented strategy.

The findings show that in order to cater for changes, organizations have to manage and adapt the coherence of the determinants’ business services, business processes and knowledge sharing continuously. Moreover, the results show that a service-oriented strategy is not only influenced by business services as such, but business services mediate the relationships between business processes, governance and process-aware information systems to a service-oriented strategy.

A limitation is imposed by the limited sample size and the unbalanced response of participants (executive management). In future research, a more extensive survey among a broader group of participants will help the authors to develop their model further in order to generalize the results, as well as more finely grained research related to geography and size might be pursued. Future empirical research is necessary to identify and test the relationships between other constructs and study their effect on a firm’s service-oriented strategy.

On a practical level, the authors postulate that an organization’s executive management should pay attention to invest in an organizational entity (department) that manages business services continuously. This organizational entity has to ensure that related processes and knowledge sharing are in place to establish and maintain a service-oriented strategy.

This research contributes to service-oriented literature by operationalizing the implementation of an organization’s service-oriented strategy. The authors’ insights go beyond the findings of Aier et al. (2011). The authors found that a service-oriented strategy influences service-oriented project success positively. The authors extended these findings, based on a unique data set, by studying business services and influencing determinants (i.e. business processes, governance, PAIS and knowledge sharing) within the context of service orientation. The renewed attention to the concept of service orientation provides insights into critical determinants that influence the implementation of a service-oriented strategy.

Prior research has reported the indirect implications of firm's dynamic capabilities on their competitive firm performance. Our attention now turns to open innovation since it has been confirmed to be an influential factor contributing to the superior performance of technological firms. So far there has been little research on assessing the relationship between a firm's dynamic capabilities as an antecedent of the competitive performance of the firm or investigations into the mediating role of open innovation in this relationship.

Drawing on the theory of dynamic capabilities, we developed a framework as a way to better understand the role of open innovation, which could then help to better explain the relationship between firms' dynamics capabilities and their competitive firm performance. Based on the empirical data of 465 firms operating in innovative and non-innovative industries, we employed structural equation modelling (SEM) to examine the research hypotheses and the path relationships in the proposed model.

The SEM analysis revealed that a firm's dynamic capabilities significantly impact its open innovation performance and that open innovation, consequently, impacts the competitive performance of the firm. Moreover, the results show that the path between dynamic capabilities and competitive firm performance is partially mediated through open innovation.

The findings provide practical implications and draw managerial attention to the importance of: (1) investing in innovation, (2) engaging customers in the innovation process and (3) maintaining innovation management excellence as significant antecedent factors in increasing competitive firm performance.

Considering the lack of empirical research in the literature on the links between dynamic capabilities and open innovation, this paper contributes to the dynamic capabilities and open innovation literature by confirming that open innovation not only mediates the relationship between these two aspects but also strengthens the effect the dynamic capabilities have on competitive firm performance. Besides, due to the significant impact of dynamic capabilities on open innovation, dynamic capabilities might be regarded as an antecedent of open innovation.

Firms often perceive the Web as a threat for their physical channel assets. However, it is becoming clear that synergies can be obtained between electronic and physical channels. Characteristics of “information economics” (i.e. low reproduction costs and strong scale advantages) in combination with channel economics can help explain how electronic channels are taking up some of the functions traditionally performed through physical channels. Two processes in which channel restructuring is most apparent are: sales (including pre/after‐sales support, financing, etc.) and physical distribution (including product returns, installation, etc.). Our case study analysis shows that channels have different strengths depending on the type of customer interaction.

The objective of this paper is to offer a validated framework for the analysis of (future) risks and uncertainties involved in the decision‐making process concerning the upgrade and roll‐out of large infrastructural projects, e.g. broadband networks. The framework classifies risks and uncertainties based on the nature of the risks, levels and sources.

The approach takes the form of conceptual as well as qualitative and quantitative empirical analyses.

Telecommunications operators are faced with various types of risks and uncertainties in their decision‐making process concerning the upgrade and roll‐out of their broadband networks. In one respect, these risks and uncertainties have to do with the characteristics of large infrastructural projects, while, on the other hand, being caused by (unknown) competitor behaviour, (unknown) end‐user demand, rapid technological development and different development paths available to operators. Framing risks and uncertainties into a typology provides greater insight into the categories, characteristics and sources of the risks and uncertainties, as well as being a first step in finding ways to deal with them.

The paper presents and validates a framework for the analysis of risks and uncertainty. It also offers empirical data on how operators manage risk and uncertainties.