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Resource reconfiguration enables firms to adapt in dynamic environments by supplementing, removing, recombining, or redeploying resources. Whereas prior research has underscored the merits of resource reconfiguration and the modes for implementing it, little is known about the antecedents of this practice. According to prior research, under given industry conditions, resource reconfiguration is prompted by a firm’s corporate strategy and by characteristics of its knowledge assets. We complement this research by identifying learning from performance feedback as a fundamental driver of resource reconfiguration. We claim that performance decline relative to aspiration motivates the firm’s investment in knowledge reconfiguration, and that this investment is reinforced by the munificence of complementary resources in its industry, although uncertainty about the availability of such resources limits that investment. Testing our conjectures with a sample of 248 electronics firms during the period 1993–2001, we reveal a clear distinction between exploitative reconfiguration, which combines existing knowledge elements, and exploratory reconfiguration, which incorporates new knowledge elements. We demonstrate that performance decline relative to aspiration motivates a shift from exploitative reconfiguration to exploratory reconfiguration. Moreover, munificence of complementary resources mitigates the tradeoff between exploratory and exploitative reconfigurations, whereas uncertainty weakens the motivation to engage in both types of reconfiguration, despite the performance gap. Nevertheless, codeployment, which extends the deployment of knowledge assets to additional domains, is more susceptible to uncertainty than redeployment, which withdraws those assets from their original domain and reallocates them to new domains. Our study contributes to emerging research on resource reconfiguration, extends the literature on learning from performance feedback, and advances research on balancing exploration and exploitation.

We develop a framework that explains the role of knowledge resources in the formation of international strategic alliances by multinational corporations. The focus is on the value and uniqueness of knowledge resources and two types of learning international strategic alliances, exploratory and exploitative. Also, we explain how the institutional environment – a host country's property and contractual rights, rule of law and the institutional distance between the countries of the partnering firms – affects the attractiveness of these two forms of alliances.

Networks and learning matter to small- and medium-sized enterprises (SMEs). Networks and learning are also further elaborations on the exploration–exploitation (EE) dilemma. Ambidexterity, that is, managing this apparent dilemma, can be difficult as a result of many constraints. One of these constraints is that of mutually exclusive network structures. Consequently, ambidexterity is the ability to change networks, depending on need using mixed data on four small companies formed as part of an undergraduate management class, I hypothesize how specific network properties of the advice-seeking relationship, including density, cohesion, centralization, and embeddedness, affect two outcomes. Specifically, early exploratory learning is proposed to be positively affected by less-dense networks that maintain cohesion without centralization and do not have relations embedded in other relations. In contrast, later exploitative learning should be associated with denser networks that also have higher cohesion, higher centralization, and greater embeddedness. The results provide some support for these hypotheses and suggest further research in two areas that will benefit SMEs. One, how do early networks affect learning mode? Two, how does the ability to rewire networks provide the relational infrastructure to shift from exploration to exploitation – that is, to be ambidextrous in the face of the exploration–exploitation tradeoff?

There is arguably a balance between exploration and exploitation within a commercial organization which leads to sustainable growth and value creation. Exploratory activities are associated with search, innovation, risk-taking and experimentation. Activities, such as selection, implementation and execution are considered exploitative in nature. We show that the governance structures and mechanisms that are typically employed in venture capital-backed companies ensure an optimum balance between the exploratory behavior of entrepreneurs and the exploratory focus of venture capitalists. New players in the venture capital cycle, such as crowdfunding platforms and corporate venture capital units, often fail to understand the importance of the interaction and interrelation between the apparently opposing exploratory and exploitative activities. However, collaborative venture capital models that are currently emerging appear to restore the necessary equilibrium in the “new” venture capital cycle.

This research expands the scope of the exploitation/exploration literature which has generally embraced a firm-level perspective by showing the theoretical and practical relevance of this framework for the study of entrepreneurial behaviour from an individual-level perspective. The study exemplifies specific instances where explorative or exploitative aspects of behaviour are likely to be manifested as a response to specific types of shocks that precede and impact the decision to quit and start one’s own business. Different types of shocks or entrepreneurial events displace the individual from the inertia of existing behaviour and pave the way for the consideration of a new set of opportunities; a new set of opportunities where entrepreneurial initiatives are perceived to be both feasible and desirable (exploitation–exploitation). Drawing upon 80 semi-structured and longitudinal interviews with entrepreneurs who quitted their ‘salaried job’ in order to start their own business, the study: (a) provides an inventory of events/shocks found to precipitate the interviewees’ decision to quit, and (b) links the various types of shocks with the prospective explorative and/or exploitative entrepreneurial initiatives. In this respect, the dynamics that underlie the effects of shocks on entrepreneurial behaviour are illustrated, while blurriness and interrelatedness of exploitative and explorative aspects of entrepreneurial behaviour are exemplified. Such a detailed list of shocks may serve as reference tool for both prospective entrepreneurs who wish to make an entrepreneurial shift in their career, as well as managers who wish to be proactive in avoiding or encouraging entrepreneurial employee turnover.

Research sponsored by entities in developed countries, but conducted in developing countries, has recently been the focus of academic debate, international declarations and media controversy. Much of this attention has focused on whether the trials are exploitative and if so what should be done to avoid exploitation. This chapter takes Alan Wertheimer's principles of mutually advantageous transactions and applies them to the question of exploitation in international research. In this chapter, I develop an analysis of exploitation and apply this to the hypothesis that some pharmaceutical companies who run drug trials in developing countries wrongfully exploit the trial participants.

This chapter outlines a method for developing simulation code from case-based data using narrative sequence analysis. This analytical method allows researchers to systematically specify the ‘real-world’ behaviours and causal mechanisms that describe the research problem and translate this mechanism into simulation code. An illustrative example of the process used for code development from case-based data is detailed using a well-documented case of photovoltaic innovation. Narrative sequence analysis is used to analyse case data. Micro-sequences are identified and simplified. Each micro-sequence is presented first in pseudo-code and then in simulation code. This chapter demonstrates the coding process using Netlogo code. Narrative sequence analysis provides a rigorous and systematic approach to identifying the underlying mechanisms to be described when building simulation models. This analytical technique also provides necessary and sufficient information to write simulation code. This chapter addresses a current gap in the methodology literature by including case data within agent-based model building processes. It benefits B2B marketing researchers by outlining guiding processes and principles in the use of case-based data to build simulation models.

Meetings are an integral function in organizations where interaction between leaders and their employees and thus, leadership, happens. A small but growing area of research within the larger workplace meetings domain has started to focus on the role of leaders in promoting effective and satisfying meetings. This chapter provides an overview of research to date on workplace meetings and leadership, and the authors identified seven studies that paired the two areas. The number of publications focusing on meetings and leadership is increasing, with the older papers largely dedicated to qualitative investigations of leader behaviors associated with successful meetings, whereas the more recent papers take a more theoretical and quantitative approach, yet are nonetheless largely isolated from one another. Next, the authors review five theories of leadership (full range of leadership, charismatic leadership, servant leadership, exploitative leadership, and followership), and relate each of the theories to workplace meetings, with a key focus on how the theory may impact subordinates’ perceptions of meetings as well as the utility of meetings for team and organizational functioning. The authors propose seven areas throughout the chapter that future research could explore to extend knowledge about how leadership operates in meetings and how meetings are an important aspect to consider with respect to leadership theories. Primary theoretical contributions are the integration of existing work on leadership and meetings and theoretically based propositions for future research.

Despite the theoretical assumption that balancing exploration and exploitation is important for long-term performance and survival, previous studies have provided few insights into these relationships because they have focused mainly on the short-term financial performance of organizations. In addition, balancing exploration and exploitation is a critical challenge for small- and medium-sized enterprises (SMEs) that lack the resources, capabilities, and experience necessary to achieving ambidexterity. In this regards, this study empirically explores the relationship between the exploration–exploitation balance and SMEs’ longevity in order to address two important questions from the ambidexterity perspective: (1) How does the balance between exploration and exploitation influence organizational survival? (2) How is the appropriate balance between exploration and exploitation influenced by an organization’s internal and external contexts?

An analysis of 1981–2012 data from the Korean SMEs in IT industry reveals an inverted U-shaped curvilinear relationship between the extent of exploratory innovation and organizational longevity, providing support for the ambidexterity perspective. We further examine the moderating effects of financial slack and environmental dynamism on the relationship between exploratory innovation and organizational longevity. The results indicate that financial slack moderated the exploration–longevity relationship and call for a contingency approach for a better understanding of performance implications of the exploration–exploitation balance.

The fragmentation of the production process is a major theme of research in international business. Trade benefits arise from the “slicing up” of the aggregate value chain, as well as the entry of new countries bearing low labor costs. If, initially, multinational corporations (MNCs) relocated only standardized, low-value manufacturing activities in new emerging economies (exploitative offshoring), now they are also offshoring their knowledge-intensive activities (explorative offshoring). In the past, the literature on internationalization was mainly focused on the characterization of the MNC as a specific monolithic organization active in the international production. In the present, numerous analyses have discussed the international location of R&D activities, mainly in advanced countries. The foreign R&D subsidiaries are still tightly linked to the headquarters, maintaining a controlled position. Future research must address two orders of issues. The first is the progressive autonomy of the foreign subsidiaries, which are more and more developing new and independent lines of research. This process leads MNCs to mobilize and leverage untapped pools of knowledge scattered around the world. The second is the R&D offshoring toward emerging economies. This complex process can be characterized as a move from the smile model discussed extensively by Ram Mudambi (where emerging economies were considered as pools of low-cost labor tout court) to a new model, called here the λ (lambda) model (where emerging economies are also pools of skilled labor). This paper will explore these new trends using some illustrative cases: L'Oréal (FR), Pfizer (US), ST Microelectronics (CH), and Geox (I). The cases reveal the double orientation of MNCs toward emerging economies, where both explorative and exploitative offshoring takes place.