Entrepreneurial culture and disruptive innovation in established firms – how to handle ambidexterity

Josef Schindler (Business Science Institute, Luxembourg, Luxembourg) (Universite Jean Moulin Lyon 3, Lyon, France)
Andreas Kallmuenzer (Department of Strategy, Excelia Business School, La Rochelle, France)
Marco Valeri (Faculty of Economics, Niccolò Cusano University, Roma, Italy)

Business Process Management Journal

ISSN: 1463-7154

Article publication date: 21 November 2023

Issue publication date: 17 April 2024

493

Abstract

Purpose

The aim of this paper is to improve the understanding of strategies for how established companies can respond to disruptive innovation, handle increasing complexity, facilitate entrepreneurial culture and processes and successfully manage organizational ambidexterity.

Design/methodology/approach

A qualitative multiple-case study was conducted to explore successful practices of innovation ambidexterity (IA) and their organizational design, entrepreneurial culture and mindset, processes and leadership. Two internationally established firms that have launched and established IA programs provided deep insight, revealing their strategy and learning on the path toward effective IA.

Findings

The findings show that accepting and managing the inherent complexity increases within an ambidextrous organization strategy is a decisive factor in achieving effective IA. As a result, segmenting small organizational units and granting them extensive autonomy is proposed for managing the complexity of an organization while increasing its effectiveness. Furthermore, it is shown that this helps foster entrepreneurial culture, mindsets and processes as additional mediators for achieving effective IA. Coaching, empowerment and trust were identified as key factors of ambidextrous leadership values that encourage entrepreneurial behavior and decision-making.

Originality/value

To the best of the authors knowledge the first study connecting the research fields of complexity management, organizational ambidexterity theory and entrepreneurial culture while applying the fundamentals of systems theory to propose a practical management framework for successfully responding to disruptive innovation.

Keywords

Citation

Schindler, J., Kallmuenzer, A. and Valeri, M. (2024), "Entrepreneurial culture and disruptive innovation in established firms – how to handle ambidexterity", Business Process Management Journal, Vol. 30 No. 2, pp. 366-387. https://doi.org/10.1108/BPMJ-02-2023-0117

Publisher

:

Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited


1. Introduction

The risk of disruption to established firms has increased significantly over the past few decades. The growing complexity of digital markets and digital value chains as well as the speed of emerging technologies and new business models with the potential for radical change create disruption opportunities (Bodrožić and Adler, 2018; Christensen et al., 2018). Strategic response strategies for incumbents to slow or delay the onset of disruption or even adapt and survive over time, are a part of scientific field that is slowly but steadily emerging (Christensen et al., 2018).

This study tackles organizational ambidexterity (March, 1991) as a response strategy to disruptive innovation and investigates ambidextrous innovation approaches and the inherent limits of established companies to compete with both sustaining and disruptive innovation and their respective organizational structures and entrepreneurial culture. The authors provide an integrated strategic framework to design organizations and build radical/disruptive innovation capabilities; utilize spillover effects upon the core business such as entrepreneurial motivation and processes; and successfully practice effective innovation ambidexterity (IA) in established firms while coping with increasing inherent complexity and organizational tensions and conflicts.

Prior literature approached this topic using numerous theoretical perspectives. The authors have drawn from several research disciplines, including systems theory and complexity, ambidexterity as well as entrepreneurial organization design and entrepreneurial culture to identify the state of the art as well as knowledge gaps and shortcomings of prior research on IA as a response strategy to disruptive innovation. This study sheds light on how to design and manage the complex organizational frameworks and relative autonomous entrepreneurial culture within ambidextrous organizations. It discusses effective IA from a systems theory perspective, proposing practical applications of systems theory fundamentals.

This paper essentially investigates how established companies can respond to disruptive innovation, handle increasing complexity and successfully manage organizational ambidexterity. The following particularly explores successful IA practices and their organizational design and culture as they handle their systemic tensions. A qualitative in-depth multiple case study was conducted (Eisenhardt, 1989; Yin, 2014) to tackle these questions. Data were analyzed from observations, interviews and secondary data of the firms. Starting with a template analysis approach (King et al., 2018); a combined deductive and inductive analysis was conducted (Bichler et al., 2022). Different strategic and operational approaches and their outcomes were compared while adopting the constant comparative method (Miles et al., 2018).

The results show that managing inherent and increasing complexity appear to be a decisive successful organizational ambidexterity factor that to date has neither been extensively investigated nor gained significant attention in management practice (Schindler, 2023). The findings show that segmentation into small organizational units and granting them major autonomy is a path toward not only managing the complexity and increasing the effectiveness of an entire organization but also fostering entrepreneurial culture, mindsets and processes, which in turn are additional mediators in achieving effective IA.

This study furthermore sheds light on ambidextrous leadership with practical implications, with the authors finding that ambidextrous leaders need to communicate and explain more while controlling less. The findings show that agile leadership methods such as coaching, empowerment and trust can foster effective IA as well as entrepreneurial behavior and decision-making.

The study contributes to the literature on IA as a response strategy to disruptive innovation and its organizational design and entrepreneurship culture and how internal startups can work to ensure competitive advantages and the future viability of established companies. Additionally, the findings contribute to a better discernment of successful IA practices that address the delicate strategic balance between incremental innovations and radical or disruptive innovations in established organizations.

2. Theoretical background

2.1 Disruptive innovation and response strategies

Incumbent companies' threat perception has led to intense strategic resource commitment (Gilbert, 2005). Though many scholars agree on digitization as a main source of disruption, their response strategy propositions differ widely, ranging from either aggressive investment in existing capabilities (Chen et al., 2010) and fostering continuous innovation (Denning, 2012), partnering with disruptive entrants once they start challenging incumbents to acquiring them outright (Kapoor and Klueter, 2015). However, the major research stream on effective response strategies suggests that established companies can form a separate business unit (Christensen and Raynor, 2013) to explore and develop radical or disruptive innovations (Valeri, 2021). Christensen et al. (2018) explicitly point to this line of thinking, and propose future research on response strategies. Another research field is increasingly focusing on the organizational component of strategic management of disruptive innovation (e.g. Slater et al., 2014). In sum, there is an increasing awareness of underestimated complexity in modeling organizations with disruptive innovation capabilities (Slater et al., 2014); these go so far as to propose approaches on how to increase the capabilities to handle this complexity (Fahey and John, 2016).

Utoyo et al. (2020) investigate key variables to enhance innovation performance using entrepreneurial leadership and entrepreneurial culture frameworks. Entrepreneurial orientation and the success of radical innovation have been combined with each other in a radical innovation launch model (Cake et al., 2020). More generally, organizational culture and the role of senior management are two other areas of research connected to disruptive innovation. A common theme for incumbents is the important role of senior management (e.g. O’ Reilly et al., 2016; Slater et al., 2014) enabling cross-boundary cooperation and permission to pursue greater risk when pursuing long-term opportunities (Skarzynski et al., 2014).

Building own radical innovation capabilities and modeling the organization also appears to contain underestimated complexity issues for established companies. Entrepreneurial leadership and culture are ongoing research streams, aiming to better understand how to increase innovation performance and effectively respond to disruptive innovation, while importantly keeping in mind that launching a separate unit to solely focus on radical innovation neglects the tradeoffs that occur when balancing both incremental and radical innovations.

2.2 Ambidexterity

March (1991) and his initial ideas about tradeoffs between exploration and exploitation challenged the response strategy of launching a separate business unit, proposing ambidextrous organizations (O’ Reilly et al., 2013) that simultaneously explore and exploit to pursue different types of innovations: sustaining/incremental (exploit) and radical/disruptive (explore) innovation (Danneels, 2006) –IA. However, the capabilities and organizational success components in both areas differ strongly, and include organizational design, organizational culture, leadership, development processes (Al-Mashari and Zairi, 1999) and product launch strategy (Slater et al., 2014).

Many scholars agree that a cross-functional, informal organizational structure performs best when it comes to radical innovation, whereas functional structures perform better for incremental innovation (e.g. Menguc and Auh, 2010). Separation that nevertheless maintains organizational alignment between company culture, human resources and the formal organization is suggested (O’ Reilly et al., 2016) for ambidextrous organizations aiming to overcome the so-called innovators' dilemma (Christensen et al., 2018). Egelhoff (2020) therefore, proposes a flexible matrix structure organization where rule-based (functional) decision-making is used in business units working on incremental innovations, with “balanced” interdisciplinary (both sides of the matrix) decision-making for business units targeting radical innovations.

Consequently, creating an organizational culture to foster ambidexterity and the role of senior leadership represent continuous areas of research (e.g. Lin et al., 2013; O’ Reilly et al., 2013). Porck et al. (2019) state that social identification with a sub-team result in higher performance than identification with a multi-team. Enacting and maintaining dual structures, processes and subcultures under one roof increases organizational complexity and requires a cognitively flexible team (O’ Reilly et al., 2016) to manage tensions. These innovation tensions and paradoxes require senior management to not only maintain a vital mindset, fill several roles and create a strong organizational identity but also to maintain two concurrent foci while anticipating and preparing for change due to ambidextrous thinking.

2.3 Organization design and entrepreneurship culture

Burton et al. (2019) define the term organizational design that includes three elements: the decision system, an organizational structure and managerial practices. Van Dijk et al. (2011) propose that incumbents should establish “micro-institutions” within their organization to foster radical innovation and overcome legitimacy issues. In accordance with this, O'Connor and Danneels (2022) suggest that ambidextrous organizations, on the one hand, separate their radical (explorative) units and provide them with dedicated resources, while on the other hand, integrating them into the core business through governance, domains of innovation intent and legitimacy of the radical innovation effort.

Organizational culture aspects such as entrepreneurial motives correlate with higher innovation performance (Sauermann, 2018). Entrepreneurs with an effectuation mindset are likely to avoid hierarchical procedure-based cultures while creating participatory ones (Sarasvathy, 2001). Entrepreneurial behavior and mindset favor innovation, proactivity and risk (De Jong et al., 2015; Kallmuenzer and Peters, 2018), which positively correlate with job autonomy, decentralization and low formalization (Nielsen et al., 2019) and fit startup employees' values, including independence (autonomy) and responsibility rather than job security (Sauermann, 2018).

Radical innovation projects are appropriately more effective when autonomous teams address them (Patanakul et al., 2012). Ireland et al. (2003 p. 970) post that “an effective entrepreneurial culture is one in which new ideas and creativity are expected, risk-taking is encouraged, failure is tolerated, learning is promoted, product, process and administrative innovations are championed, and continuous change is viewed as a conveyor of opportunities.” Corporate entrepreneurship (“intrapreneurship”) success factors here include processes, values (meaning and identity), resources, organizational structure, culture and entrepreneurial leadership (Ensign and Robinson, 2016). Entrepreneurial characteristics such as proactiveness and autonomy are particularly relevant to financial performance (Kallmuenzer et al., 2018) and the entrepreneurial mindset of individuals such as senior managers amplifies entrepreneurial culture aspects in organizations (Shepherd et al., 2010), whereas organizational conservatism and limited cognitive diversity in senior management teams dampen radical innovation practices (Choi et al., 2018).

Holahan et al. (2014) argue that radical innovation projects in practice are often the result of formal ideation methods, which contradicts the partial findings about entrepreneurial mindsets valuing low formalization as well as regarding how informal organization structure positively correlates to product innovation capabilities (Menguc and Auh, 2010).

Relatively autonomous teams are in summary an effective organizational arena for developing radical innovations. The large autonomy in these units fosters entrepreneurial cultures and mindsets; the entrepreneurial culture is a prerequisite for successfully building radical innovation capabilities as a result. Prior research recommends further studies on entrepreneurial culture in the exploiting business units of ambidextrous organizations (O’ Reilly et al., 2013) as part of a successful response strategy to disruptive innovation. Furthermore, systems theory can help derive answers to how concepts such as autonomy and (organizational) complexity relate and interact.

2.4 Systems theory and complexity

In the relationship between learning capability and firm performance (Lin et al., 2013; Mai et al., 2022), learning capability was shown to foster IA as a firm performance mediator, even though the inherent organizational complexity of IA (Hsu et al., 2013; Turner et al., 2013) and the complexity resulting from integration of innovation costs (Marino et al., 2015) dampen this effect. Here, digitization and adequate IT to master this complexity are essential for achieving ambidexterity (Hautala-Kankaanpää, 2022; Park et al., 2020).

In his fundamental law of requisite variety, Ashby (1961) stated that only variety can destroy variety. This implies that, for incumbents, increasing organizational complexity by enacting ambidextrous organizational structures not only allows the pursuit of different types of innovation but also generally attempts to cope with the increasing external complexity of digital markets. Mirow (2022) offers a practical view of systems theory application fundamentals for handling complexity. Alizadeh and Jetter (2019) use a systems theory perspective, proposing a systemic dynamic model of organizations emphasizing factors that contribute to ambidexterity.

Simon and Ando (1961) found that for effective organization, near decomposability (ND) – a property shared by almost all complex systems in our world – signifies a hierarchical architecture of relatively independent components and elements for the effective organization of systems, something essential and fundamental for complex systems as they determine the speed of their adaptation and increase their level of fit (Simon, 2002). Effective control structures in these kinds of ND organizations concentrate on regulating only inputs and outputs, while still offering complete autonomy to the internal component and subunit processes (Simon, 2002). Scholars have stated that decentralization and low formalization – as proposed by the relative autonomy of ND subunits – also have a positive influence on employees' entrepreneurial intentions (Nielsen et al., 2019), which is even more the case in terms of the relative (job) autonomy of the subunit elements, i.e. the individuals (De Jong et al., 2015). Combining ND organization and control structure with strong entrepreneurial culture are suggested as important ingredients for responding to disruptive innovation and managing the complexity inherent in organizational ambidexterity (Schindler, 2023).

2.5 Knowledge gaps and shortcomings

Ambidexterity, the use of both exploitation and exploration methods, describes a path for coping with the delicate strategic balance of sustaining innovations and breakthrough (radical) innovations. It allows dual structures, processes and entrepreneurial subcultures, while increasing the level of organizational complexity requires leaders to anticipate and prepare for change through ambidextrous thinking. Ambidextrous innovation not only appears to be a disruption response strategy but also enhances firm performance in general, even while its inherent complexity mitigates the effect and can reduce overall performance (Schindler, 2023). Therefore, this article addresses the following knowledge gaps and shortcomings:

  1. The practical matter of how to efficiently manage the overall inherent complexity of IA appears insufficiently investigated to date.

  2. The role of entrepreneurial culture in ambidextrous organizations: Prior research has encouraged scholars to study (relatively autonomous) entrepreneurial culture and mindsets in ambidextrous organizations (O’ Reilly et al., 2013) as part of a successful response strategy to disruptive innovation, and even as an eventual solution to the innovators' dilemma (Christensen et al., 2018; O’ Reilly et al., 2016).

  3. The practical demands placed on ambidextrous leadership: This study follows an additional call from Pertusa-Ortega et al. (2020) to research the topic of ambidextrous leadership and derive practical implications.

In accordance with Turner et al. (2013), this study pursues generalizable theory, addressing how ambidexterity can be achieved as a deliberate strategy within complex organizational structures. This qualitative research on how to reach effective IA and respective organizational design and culture in the context of managing inherent complexity proposes a practical strategic toolset as a result.

A missing connection between the fundamentals of systems theory and ambidextrous organization theory are furthermore accompanied by a tendency to shed more light on how to facilitate entrepreneurial culture and mindset, which is why this study discusses effective IA from a systems theory perspective. In summary, this article aims to improve the understanding of how established companies can respond to disruption, manage increasing complexity and facilitate entrepreneurial culture to reach effective IA.

3. Research methodology

3.1 Approach and data gathering

A qualitative multiple case study approach to explore successful practices and understand how established companies respond to disruptive innovation, cope with increasing complexity and manage organizational ambidexterity (Eisenhardt, 1989; Yin, 2014) was applied. A case study was particularly suitable in how it attempted to achieve a deep understanding of complex, new and context-specific phenomena.

Exploratory interviews in particular with “How?” and “Why?” questions regarding strategic management and incumbents' decision-makers were conducted to collect in-depth narratives on a variety of perspectives (Yin, 2014). In this multi-case study, interviewees were intentionally selected who represent maximum variation with respect to their functional accountability, ranging from strategic management and general managers who lead ambidexterity efforts and are confronted with it on a daily basis; intrapreneurs (leaders of internal startups/ventures); as well as managers and directors of very established core business units in parent companies (Williams, 2007). Pseudonyms were used instead of the original names of the interview partners to ensure anonymity (Table 1). The data collection process was continued until a saturation point was achieved where further data collection did not bring any additional insight (Guest et al., 2006).

The findings were reflected upon in light of prior research (Eisenhardt, 1989). Guidelines for meaningful and valid qualitative research (Crouch and McKenzie, 2006) were followed, restricting the sample to a small handful of highly knowledgeable informants (Eisenhardt and Graebner, 2007) from organizational innovation management.

The company sampling was done according to four criteria: (1) digital innovation focus, (2) long-term established business (>50 years), (3) comparable firm size (>€1bn revenue and international (worldwide) operations) and (4) existing IA programs in place, i.e. corporate venturing and/or internal startups to attempt disruptive innovations (Christensen and Raynor, 2013; Danneels, 2006).

Two established companies responded to these criteria and were selected according to theoretical sampling to achieve the desired insight (Eisenhardt, 1989) and explore their ambidextrous approaches in-depth.

  1. Case 1, founded 1847 in Germany, is a global technology products and services company with its main businesses in digital industries, smart infrastructure and mobility. Other business areas include financial- and real estate services, solutions and consulting services and independent separately managed businesses, including global venture firms and healthcare. The group reported 293,000 employees worldwide and €62.3bn in revenue in 2021. This research focused on its digital industries (78,000 employees, €16.5bn in revenue) and its factory automation business unit.

  2. Case 2, founded 1950 in Germany, is a global construction and mining equipment provider offering solutions for the industries of agricultural machinery, rental, construction logistics and construction site management, drive systems and energy, engineering and plant engineering. The group reported 10,000 employees worldwide and €3.7bn in revenue in 2021.

Both organizations have strongly pursued the use of new technology and business models with disruptive potential such as cloud computing, artificial intelligence and digital transformation within the last decade, including both venturing and internal innovation programs (internal startups).

Fifteen narrative interviews were conducted within a three-month time frame, cf. (Leedy and Ormrod, 2019) during Q1 of 2022. Each interview lasted between an average of 45–80 min. All interviews were both video- and audio recorded and transcribed verbatim using the Microsoft Teams live capture feature. This procedure was uniformly accepted by all participants, especially during the COVID-19 pandemic. The automatically generated transcripts were verified afterward by simultaneously watching the recordings and reading the transcripts; filler words were removed from the transcripts as well, cf. (Wolf, 2022).

Questions including “Could you please explain that more in detail?” and some explanations of key terms like disruptive innovation helped guide the interviews.

Questions were asked regarding radical or disruptive innovation, organizational design and entrepreneurial culture such as: “How does your organization respond to the increasing threat/opportunity of disruptive innovation?” (Christensen et al., 2018); “Please describe your company's organizational setup to foster radical or disruptive innovations” (Slater et al., 2014); “How would you describe your entrepreneurial culture?” (Ireland et al., 2003; Shepherd et al., 2010).

In terms of increasing complexity, ambidexterity and systems theory, the following questions were asked: “Which characteristics and processes differ the most and how?” (O’ Reilly et al., 2016; Sarasvathy, 2001); “How does the leadership team act, decide and communicate when facing these differences?” (Ancona et al., 2001; Porck et al., 2019); “Where/when do you experience limits of the venture subunit's autonomy?” (Patanakul et al., 2012; Simon, 2002).

All interviewees were asked to start with a description of their firm's past development up to and including its current state. A preliminary test was conducted in Q4 2021 with the two heads of strategy to avoid communication errors and any further interview guideline ambiguities.

To triangulate the interview findings with important background information on the respective companies (Jick, 1979), additional data sources were considered. These encompassed information from internal documents, reports, companies' websites and most particularly two in-depth workshops on the subject that were conducted with the two companies. These sources provided rich information on background motivation, strategic projects, organizational structure and specific innovations launched and helped interpret the interview responses and compare the firms' approaches with each other.

3.2 Data analysis

The combined transcribed interviewees' comments comprised more than 126,000 words, and the MAXQDA qualitative data analysis software was used for the text analysis. The transcripts were analyzed in a systematic, step-wise and rule-based manner. Despite the exploratory nature of the study, no purely inductive approach was chosen, cf. (Gioia et al., 2013). The coding scheme initially relied on the research questions and categories of an initially conducted literature review. Analysis and coding was conducted in an iterative process between the data and the literature, starting with a template analysis approach (King et al., 2018), combining deductive and inductive elements to assign meaningful text segments to thematic codes (Bichler et al., 2022) – the first-order concepts. Identifying similarities and differences in the first-order concepts led to defined second-order themes (Gioia et al., 2013). Clustering into categories and contexts using the MAXQDA offered context networks, helped identify relevant interview quotes and provided transparency for potential reviewers' remarks (Aguinis et al., 2018). Finally, the higher-order theoretical dimensions were defined as aggregations of the second-order schemes. Analysis was based on the data in German, and the categories and related quotes were translated into English. One scholar critically reviewed the data work done by the other to further increase its validity (Eisenhardt, 1989).

4. Findings

An overview of the findings' data structure in Figure 1 allows a step-by-step walkthrough of the identified second-order themes in the following sections:

4.1 Motives for innovation ambidexterity

4.1.1 Threat perception

In both cases, the initial spark to launch an IA strategy was regular company strategy processes. Methods like “nightmare competitor” and “wargaming benchmarking” were initiated to recognize and understand potential threats that could fundamentally disrupt their core business, as described by one of the interviewees. In several workshop sessions, participants were encouraged to look for disruptive trends outside their well-known markets and fields of expertise, with technological trends investigated to understand their (hyper-)scaling potential and risk of displacing the current business. Case 1 was very technology-driven, and they identified IT and cloud technology (including artificial intelligence) as playing a crucial role, whereas Case 2 identified radical business model innovations as having dangerously high potential to disrupt their business in the future.

In both cases, the decision to “do it yourself” [Coco] was a clear response strategy to disruptive innovation.

4.1.2 Long-term opportunities

The decision to launch something radically new was also based on the outlook of potential long-term opportunities and organizational change. Ensuring long term survival and competitive products and business models were at the forefront: “… to take care that our business models are still competitive in the future” [Amira]. Future business opportunities played an important role as well as very practical requirements common at the end of long-term incremental innovation cycles. “There was a demand for radical change from at least three sides, the market, our technological architecture and also from internal processes and culture” [Conrad]. One participant pointed out the entrepreneurial spirit at the time, and that they hoped to potentially leverage “… new digital business models with unfair advantages, drawing the best people together and combining it with our market access” [Conny].

Amir pointed out, “on the one hand we had to, on the other hand we also wanted to, do something radically new”. The findings suggest that the threat of disruption delivers an initial spark, while a combination of both threat perception and targeting long-term business survival then lead to the launch of radical and disruptive innovation units such as internal startups.

4.2 Innovation ambidexterity strategy

4.2.1 Organizational design

Both firms decided to launch IA and create a radical innovation hub with 100% dedicated resources. Their organizational setups varied from one another: While Firm 1 decided to form the core around a small number of internal employees and keep the internal startups close to the core business to enhance organizational learning and utilize spillover effects, Firm 2 created a new, separate legal entity in another city, hiring mainly external staff to encourage and even attack the existing business with disruptive ideas and business models.

These organizational design choices were the result of different strategic long-term targets. Firm 2 clearly stated that in case of success, the new startups would generate spin-offs to scale as separate entities, whereas Firm 1's strategic goal was to eventually integrate successful internal startups into future business lines.

In both cases, new mindsets and the application of new technologies were needed to reach a new level, as Sam pointed out: “An organization with different speeds was needed. So we had to separate it somehow and then allow them new technologies and new ways of thinking …”

The targets of these internal startups were almost identical: create radically new innovative businesses and eventually disrupt and replace the core business long-term. This required widely autonomous working teams to develop these radically new businesses.

4.2.2 Autonomy

Some autonomy was given to the internal startups by, e.g. regionally distancing them from the core business. Other dimensions of autonomy were provided with the clear target of inventing and developing their own solutions, processes and culture. Though this topic is perceived as very ambiguous, typically causing tension and even open conflicts (see 4.3.2 Tension and conflicts), leaders of the startups themselves at least perceived “… the will to give us autonomy and some independence” [Sam]. It appears that the initial autonomy was given to launch the teams, which were then allowed to define their own frameworks and processes that best supported the target. Coco however assumed that “… the degree of freedom has massively decreased over time, and today the autonomy is extremely low, because the leap of faith has melted away quickly.”

The findings show also that the individuals working in either internal startups or core business units face almost identical levels of autonomy. Amon summarized how “… the core business employees have the same liberties and limits”, i.e. budget restrictions, legal regulations and compliance, the need for approval, external communication requirements and the prevention of cannibalization effects.

4.2.3 Entrepreneurial culture

The culture in both internal startups and core business units is similar in principle, although “the internal startups show a higher density of entrepreneurially holistically thinking individuals with courage” [Sam]. This relates to a different mindset and characteristics such as “… higher identification and motivation, stronger (team) spirit” [Conny]. A consistent finding was that radical innovation culture allows teams to fail and learn “go and see”, which is related to the risk of failure.

Employees feel this constant uncertainty, which attracts courageous entrepreneurial individuals who bring a “do-it-yourself mindset” [Amy] and who are not shy about deciding quickly and acting independently. Among the many attributes associated with entrepreneurs in general, qualities such as taking ownership, being passionate and explorative, taking risk and making bold choices among uncertainty stand out the most. As Steffie said: “You have to be OK with taking risks and constant change”.

As part of the entrepreneurial culture, the findings indicated a continual theme of speed in entrepreneurial processes in internal startups: “Speed of decision-making with low to no hierarchies, speed of process changes, speed of information flow” [Amir]. Using the privilege to choose their own processes and tools with the ultimate target of increasing speed, internal startups quickly optimize their workflows, bypassing established corporate processes and inventing their own frameworks. Amira emphasized that the “biggest difference in cultures is the speed of changing the processes if needed”. Contrary to the common assumption that internal startups might have less or almost no process or workflow definitions, the findings showed that these radical innovation units “… have a very clear definition on the process level and also highly demanding discipline” [Coco]. Again, this contributes to higher speed in clear decision-making processes.

4.2.4 Leadership

The findings show a very different level of leadership adaptation to ambidexterity, which was seen as dependent on the organizational design – specifically regarding the level of distance between the radical and incremental innovation business units. The closer the units, the stronger the need for ambidextrous leadership skills, including agile management and the fostering of entrepreneurial behavior.

Very early in the process, Case 1 realized that these radical cultural changes require intense leadership training and transitions towards agile management to achieve effective ambidextrous innovation on all hierarchical levels. Intense efforts have here been launched to create and execute training programs that all leaders participate in. Conrad mentioned how “all of us learned that less leading but more coaching, empowerment, and trust” are the main ingredients to changing into an agile organization and fostering entrepreneurial behavior. Putting agile values into practice is a good way to describe their new leadership capabilities, or as Conny puts it: “Trust [the experts] and protect [their liberty]”.

In Case 2, the radical innovation units report directly to the CEO only. In fact, ambidextrous leadership capabilities are therefore only required at the top management level. This kind of strong separation allows the leader to currently “… only act as institutional incubator and investor” [Amira] of the radical innovation units.

Along with agility and faster speed, the ambidextrous leaders “communicate more but control less”. The findings showed that the need for permanent communication has increased tremendously, whereas the controlling efforts have been reduced to only a few finance or budgeting meetings; here, the top management “acts as investor only” [Amir], even though (similar to established business units) KPI-driven controlling is established in internal startups as well. The teams intrinsically invent their own and different KPIs, reporting and communicating them to the leadership teams. “Today, I ask about progress with pilot customers, their direct feedback, and observations of competitors' performance …” [Amon]. Communicating customer feedback is also a “stakeholder management” strategy of the internal startups that indicates progress and performance in early stages.

Permanent information exchange and networking within the smallest teams across hierarchies as well as communication within regular “town hall dialogues” requires leaders to re-think their established methods. A balanced level of focus and appreciation for both the incremental innovation and radical innovation business units are suggested for leaders.

4.3 Challenges

4.3.1 Complexity

Increasing the internal variety of cultures, mindsets and processes is a strong complexity driver of ambidextrous organizations. In both cases, the practical matter of managing ambidexterity's inherent complexity was heavily underestimated. Although managing this has gained noticeably more attention in one case (“… a painful learning process” [Conrad]) and was recognized as a difficult task, the exact opposite has happened in the other. “We simply tried to ignore the complexity and act as if our established management methods could handle that” [Coco].

The deeper understanding of internal views opened up a diverse spectrum of insight. The internal startups mainly pointed out that complexity is caused by the corporate business, resulting in “highly complex stakeholder management” [Steffie] for them, whereas some general managers argued that “only a handful of people are at those critical ambidextrous interfaces” [Conny] affected by increased complexity.

The findings pointed in retrospect to dramatically increased complexity at the beginning of these efforts when IA was launched. The organizations however adapted very quickly with their own solutions: “Segmenting into smaller units with higher ownership and team identification …” [Sam], “delegating responsibility to the teams” [Sven] and very lean controlling structures, meaning ambidexterity was no longer perceived as complex following a certain period of time. The findings support the idea that increasing variety at first increased complexity, followed by the organization instantly taking measures to adapt towards efficiency, with complexity finally declining to almost the same level as before, as Amira and Amon concluded: “Yes, the complexity increases are extreme. But they are driven more by other external environmental factors like regulation or the increasing speed of technology innovations”.

4.3.2 Tension and conflicts

Tension and conflicts appear to arise when an organization introduces ambidexterity. On a practical level, contradicting goals, e.g. revenue targets and incentives vs fostering disruption appear. Even the strategic level is not spared these tensions, with them present in top management in particular. Along with the emotional distress factors and tension, these structural conflicts of objectives are “… the conflicting field commonly known as innovator's dilemma” [Amira].

Another conflicting issue is the matter of restrictions and boundaries that internal radical innovation units face where external (real) startups have more freedom. Sigi for example is faced with so many different stakeholder interests in his internal startup that he has hired a group of people to explicitly manage them. And collective bargaining, the labor union and other company regulations prevent Sven from hiring the best people due to salary restrictions.

Substantial improvement in the situation has nevertheless been achieved thanks to “lots of communication”. “If you really want an organization to run at two different speeds without tearing up the culture and making it explode, you have to explain” [Amadeus]. Furthermore, courageous decision-making “… needs a courageous entrepreneur at the top” [Conrad] and the will to push forward and renew long-established regulations to provide the right autonomy for radical innovation units, equipping them with “startup-like” toolkits “… such as phantom shares, spin-offs and spin-ins” [Amon] to compete with their external counterparts.

4.3.3 Anxiety about losing

This study identified a key component regarding future ambidexterity challenges and feasibility limits: anxiety about losing. As Conrad pointed out, the “anxiety about potentially losing a well-established market position can cause decision-makers to take measures to reduce the risk in radical innovation projects. This has the undesirable effect that … a large amount of money is spent with the result still being a botched job”.

A hidden finding was that anxiety about losing market share prevents organizations from raising needed financial resources to establish a determined venture and scaling strategy for radical innovations that, although displaying a proven product-market fit, eventually might not fit the mainstream business portfolio well. “We lack funds to scale several radical innovative businesses side-by-side. But we are hesitant to let the spin-offs raise external funds and lose the majority share” [Conny].

Anxiety about losing the business race generates higher expectations to show early success, which eventually leads to tightening the controlling strings or excessive stakeholder requests from all levels of the hierarchy directed at the radical innovation unit. This naturally reduces the autonomy and speed of internal startups compared to their external competition. Anxiety about losing revenue prevents the salespeople from cannibalizing their current customer revenue with a radically new technology/business model. Finally, anxiety about losing business prevents the general management from decisively preparing the organization for self-disruption.

4.4 Effective innovation ambidexterity

4.4.1 Fitness and speed

The findings show that the fitness and speed of internal startups have achieved important momentum. Several spin-offs have been launched and scaled to a significant level. Being the first movers with technological innovation has prevented other players from entering the core market segment, creating largely new business opportunities. Amir said in retrospect “… we count ourselves very lucky that we recognized this early in 2018 to be our future path. Otherwise, we would be in trouble today”. Most of the efforts were due to targeting speed and have been successful, while the “external startups are gaining even more speed …” [Amira].

In addition, talent acquisition is experiencing significant improvement, “… a factor of five to six more applications” [Sven] as well as increasing diversity – “we really find smart people who offer a very new and different perspective” [Conny].

4.4.2 Spillover effects

The positive results in employer branding also spill over into positive corporate branding across the firm. Spillover effects of new learning widely occurred in both cases, for example regarding tools and communication. As Amira explained, “… during the COVID-19 pandemic, the cooperation platforms – that were originally only existent in some internal startups – were quickly introduced in all areas”. The spillovers mainly happen in cultural changes and process improvements: “What was unacceptable only five years ago in the corporate business units is daily practice today” [Amira].

For both firms, a secondary strategic goal of launching IA was to learn and transfer the new knowledge to the core business. The lessons learned here were the largest spillover effect in this study's findings by far. In Firm 1, specific best-practice-sharing workshops, co-working and training sessions led to excitement and enthusiasm to try new methods in existing core business units. As Sven pointed out, “… this has led to a minor innovation boom”. Agreeing on an ambidextrous mindset “… set of values …” [Sam] in leadership workshops and continuous training improves overall understanding, leverages fitness and performance, while increasing and enabling necessary cultural change and organizational learning.

5. Discussion

The purpose of this research was to examine successful practices and understand how established firms respond to disruptive innovation, cope with increasing complexity, and successfully manage the strategic balance between sustaining and disruptive innovations. The multi-case study examined the motives and targets (Figure 2), the strategic implementation of IA as well as its challenges and outcomes in two internationally established corporations. The two cases allowed a comparison of different ambidextrous organizational setups – one with a strictly separate legal entity to develop internal ventures that will eventually scale into spin-offs and the other with relatively proximate startup-like radical innovation units, i.e. “internal startups” to make use of spillover effects and foster organizational and cultural change in the core business organization.

Adding the target of organizational and cultural renewal to the overall target of effective IA, both additional challenges (reduced speed through defocusing effects) as well as advantages (higher innovation and business performance) in the strategy execution were observed. The findings nevertheless suggest that the methods and toolsets (see Figure 3) to enable effective IA are almost identical. The motives of a perceived threat as well as the will to leverage potentially unfair competitive advantages and address long-term business opportunities by anticipating radical innovations determine whether or not an IA strategy is launched and/or pursued. Learning and other improvements (e.g. business performance, branding or cultural change) are a beneficial side effect that makes ambidexterity such a tempting strategy. These learning capabilities additionally foster IA as a firm performance mediator (Lin et al., 2013), even though it was shown that this temptation to gain and maximize spillovers into the core business can get in the way of the original goal of building radical innovation capabilities such as speed, entrepreneurial culture and mindset in dedicated smaller organizational units.

IA was observed as an effective response strategy to disruptive innovation, with highly desirable side effects for established companies. Decisive success factors for effective IA include managing its inherent complexity, organizational tensions and high leadership demands. Addressing generalizable theory and being among the first research to connect systems theory fundamentals with ambidextrous organization theory, three main theoretical contributions addressing the specifically outlined research gaps can be formulated:

  1. The matter of how to efficiently manage the overall inherent complexity of IA

  2. The important role of (relatively autonomous) entrepreneurial culture in ambidextrous organizations

  3. Demands placed on ambidextrous leadership and controlling

5.1 Ambidexterity and complexity

Managing inherent, increasing complexity (Turner et al., 2013) appears to be a decisive successful organizational ambidexterity factor. Although this study's deeper understanding points to a quick adaptation of organizations reaching a similar perceived level of complexity after a period of time, these adaptations are part of the practical toolset for the effective ambidextrous innovation this study analyzed. Segmentation into small units such as organizationally-aligned micro-institutions (Van Dijk et al., 2011), and granting them with significant autonomy, empowerment (delegation), trust and reducing controlling structures to a minimum are key in effectively managing highly complex organizations. This is consistent with practically applying systems theory fundamentals. Following Ashby's law (1961), companies need to increase variety in their organizational structure and segmentize into many small micro-institutions to “destroy” variety, i.e. the external complexity of digital markets in general. Also, in accordance with Simon (2002), the results point to a ND organizational structure to effectively handle complexity. The leadership of ND organizations concentrates on regulating inputs and outputs only, offering complete autonomy to the inside processes of the components and subunits (Simon, 2002), which our results support. In addition, employees' entrepreneurial intentions are positively influenced by relative autonomy (Nielsen et al., 2019) and for addressing radical innovation projects, autonomous teams are more effective than other constellations (Patanakul et al., 2012). It can be concluded that granting autonomy to the internal startup unit is a path not only toward managing increasing complexity but also toward fostering entrepreneurial culture and increasing the effectiveness of the unit.

5.2 Ambidexterity and entrepreneurial culture

The findings contribute to understanding the role of entrepreneurial culture and mindset in an ambidextrous organization, as called for in O’ Reilly et al. (2013). On the one hand, entrepreneurial behavior and mindset favor innovation, proactivity and risk (De Jong et al., 2015), and entrepreneurial motives correlate with higher innovation performance (Sauermann, 2018). This is why it is widely agreed upon that entrepreneurial culture is a prerequisite for successfully building radical/disruptive innovation capabilities, as confirmed by the results of this study. The findings extend this knowledge further, pointing to foster entrepreneurial culture and mindset within the whole organization, starting with senior management as another enhancing tool toward achieving effective IA.

Anxiety about losing market position, business, revenue, shares or simply control prevents decision-makers putting “startup-like” liberties into place to enable fast scaling and prepare the organization for self-disruption. Falling back into conservative habits and reducing the degree of freedom naturally reduces the autonomy and speed of radical innovation units, cf. (Choi et al., 2018). This study points out that the entrepreneurial mindset characteristics of taking risks and courageously making decisions among uncertainty counter these anxieties. Senior leadership and managers with an entrepreneurial mindset will more likely apply courageous decision-making and have the will to renew long-established regulations to give more autonomy to their employees, and for example, equip the radical innovation units with startup-like liberties. The findings furthermore confirm the idea that entrepreneurial cultures tend to have higher identification, motivation and stronger (team) spirit, generally resulting in higher performance (Porck et al., 2019).

5.3 Ambidextrous leadership

This study additionally contributes specific findings to the field of ambidextrous leadership with practical implications, as called for by Pertusa-Ortega et al. (2020). Along with the necessary entrepreneurial mindset mentioned in Section 5.2, to lead an organization with two different speeds and a high variety of cultures, processes and mindsets, effective ambidextrous leaders need to communicate and explain a lot more while controlling less. In terms of content, a balanced level of attention and appreciation between both the incremental innovation and the radical innovation business units is suggested as a means to reduce tension and potential conflicts. Agile leadership methods on all hierarchical levels also appear to foster effective IA and entrepreneurial behavior. Agile values put into practice, i.e. less leading but more coaching, empowerment and trust, are the key ingredients of ambidextrous leadership.

A multitude of beneficial spillover effects toward the core business organization were observed in this study: increased innovation and business performance in general, including learning and best practice transfers and improved talent acquisition and higher diversity. In one case, IA strategy was even observed as an enabler of larger cultural change.

The initial targets of responding to disruptive innovation via anticipation, creating new businesses and enhancing learning and improvement were achieved through successfully implementing an effective IA strategy. Although managing several challenges is an ongoing process, anxiety prevents established organizations from exploiting the full potential of radical and disruptive innovation capabilities and fully leveraging the unfair advantages established firms have.

5.4 Practical implications

The practical implications of this research are akin to a guiding framework for the strategic implementation of effective innovation ambidexterity within established firms. Through the utilization of the effective IA process model (Figure 3), senior strategic and executive managers of established firms are equipped with a practical toolkit to:

  1. Cultivate capabilities for radical/disruptive innovation,

  2. Harness advantageous spillover effects that benefit the core business organization and

  3. Address the inherent challenges associated with this concept, thereby proactively responding to disruption by anticipation, enhancing firm performance and ensuring the firm's long-term viability.

The core of this framework is a practical toolset of managerial recommendations (Table 2) to build radical/disruptive innovation capabilities, utilize spillovers into the core organization and manage the challenges faced when conducting effective IA in established firms.

The following managerial recommendations can be drawn: (R1) segmentize into small organizational units and (R2) grant internal startups significant autonomy. These two recommendations are interrelated. The systems theory underscores how a ND organizational structure (Simon, 2002; Simon and Ando, 1961) can effectively handle such complexity. The establishment of smaller, relatively independent units, such as organizationally-aligned micro-institutions (Van Dijk et al., 2011) and the substantial autonomy granted to internal startups within this ND organizational structure, play pivotal roles in both effectively managing complexity and nurturing radical innovation (Patanakul et al., 2012). From a leadership perspective, an ND organizational structure facilitates oversight of inputs and outputs of these units, essentially operating as an investor, while bestowing complete autonomy upon the internal processes of these units and individuals.

Moreover, the allocation of significant autonomy to these internal startup units represents a pathway to (R3) foster an entrepreneurial culture and mindset, thereby enhancing unit effectiveness (Nielsen et al., 2019; Porck et al., 2019). An entrepreneurial culture and mindset not only serve as a prerequisite for cultivating radical/disruptive innovation capabilities within these internal startups but also amplify the positive spillover effects and bolster the overall performance of ambidextrous organizations. Moreover, this mindset is likely instrumental in mitigating anxiety among ambidextrous leaders. These leaders are advised to embrace entrepreneurial mindset traits, such as risk-taking and bold decision-making, instead of reverting to conservative practices that may curtail the initially granted autonomy and impede the speed of these internal startups.

Ambidextrous leaders are encouraged to (R4) communicate and explain more and control less. Establishing routine town hall meetings, coupled with the utilization of participatory digital communication tools and IT infrastructure that fosters direct communication across hierarchical levels, represents systematic avenues for addressing this aspect. Implementing agile leadership methods across all hierarchical levels emerges as conducive to nurturing the necessary autonomy within radical/disruptive innovation units, as well as fostering an entrepreneurial mindset among employees. This approach entails a shift away from stringent control toward a focus on (R5) coaching, empowerment and trust. Notably, the ND organization structure already aligns with these principles by abstaining from direct control over internal unit operations, while maintaining oversight of inputs and outputs. This practically translates into the management of budgets and selecting customer-centric key performance indicators (KPIs), essentially adopting an investor role.

5.5 Limitations and future research

Some limitations of this study need to be acknowledged, which can serve as a basis for future research. Regarding the sample selection, this study was conducted in Germany. Even if its sample examined only well-established international companies, it might be affected by regional and cultural specifics, and therefore, cannot be generalized outside of this context. It would be interesting to broaden this work to international research, allowing a comparison of different leadership styles and cultural backgrounds. In terms of robustness, longitudinal studies are encouraged that would frame the process dynamics of IA as an effective response strategy to disruption.

This study advocates ND organizational structure as highly effective in ambidextrous organizations. Quantitative research to address effective IA in established firms, such as O'Connor and Danneels (2022), could help understand what specifically are the most effective structures for ambidextrous organizations in relation to size and other organizational characteristics. Future research could also dive deeper into comparing different leadership methods (Berraies and Zine El Abidine, 2019; Valeri, 2023) with the values of agile leadership (Parker et al., 2015) and evaluating whether correlations with IA are observed in general.

6. Conclusion

The findings in this study contribute to building knowledge about successful approaches to IA. They deliver detailed insights into the state of the art of coping with its systemic and organizational tensions. This research also provides a deeper explanation of ambidexterity as a response strategy to disruptive innovation and how internal startups can work to ensure competitive advantages and the future viability of established companies.

Since firm performance increases with ambidexterity, while its inherent complexity mitigates the effect of and can even reduce overall performance, this is the first study connecting the research fields of complexity management, organizational ambidexterity theory and entrepreneurial culture with some of the fundamentals of systems theory to propose a practical management framework that successfully responds to disruptive innovation.

The findings show that accepting and managing inherent complexity increases that result from an ambidextrous organization strategy are decisive factors in achieving effective IA. A key takeaway is that segmentation into small organizational subunits and granting them significant autonomy is one possible path toward managing organizational complexity and increasing its effectiveness. Furthermore, this path fosters entrepreneurial culture, mindsets and processes, which in turn is a mediator in reaching effective IA in established firms.

Figures

Data structure overview

Figure 1

Data structure overview

Effective innovation ambidexterity motives and targets

Figure 2

Effective innovation ambidexterity motives and targets

Effective innovation ambidexterity process model

Figure 3

Effective innovation ambidexterity process model

Interview partner characteristics

IDPseudonymCurrent roleType/experienceCase
1AmirStrategyAmbidextrousCase 1
2AmonGeneral ManagerAmbidextrousCase 1
3AmelieGeneral ManagerAmbidextrousCase 2
4AmiraGeneral ManagerAmbidextrousCase 2
5AmyGeneral ManagerAmbidextrousCase 2
6AmberHead of StartupAmbidextrousCase 2
7ConradDirectorCorporateCase 1
8ConnyStrategyCorporateCase 2
9CocoGeneral ManagerCorporateCase 2
10AmadeusStrategyCorporate/AmbidextrousCase 1
11SigiHead of StartupStartupCase 1
12SvenHead of StartupStartupCase 1
13SamHead of StartupStartupCase 1
14SteffieHead of StartupStartupCase 2
15StellaHead of StartupStartupCase 2

Source(s): Table by authors

Recommendations and their contributions to effective IA

RecommendationContribution
Build radical/disruptive
innovation capabilities
Utilize spilloversManage challenges
R1: Segmentize into small organizational units***
Speed
Entrepreneurial culture Startup-like liberties
***
Business performance
Learning and best practices
Talent acquisition and diversity
**
Complexity
R2: Grant autonomy***
Speed
Entrepreneurial culture Startup-like liberties
**
Talent acquisition and diversity Learning and best practices Cultural change
***
Complexity
Anxiety about losing
Tension and conflicts
R3: Foster entrepreneurial culture and mindset***
Speed
Entrepreneurial culture Startup-like liberties
Unfair advantage
***
Business performance
Learnings and best practices
Talent acquisition and diversity
Cultural change
**
Anxiety about losing
R4: Communicate and explain*
Unfair advantage
**
Business performance
Learning and best practices Cultural change
***
Tension and conflicts
Anxiety about losing
R5: Train leadership: coaching, empowerment, trust**
Entrepreneurial culture Startup-like liberties
*
Talent acquisitions and diversity Cultural change
**
Complexity
Anxiety about losing

Note(s): *: low; **: moderate and ***: high

Source(s): Table by authors

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Corresponding author

Andreas Kallmuenzer can be contacted at: kallmuenzera@excelia-group.com

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