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Venture capital’s role in clean energy (CE) technologies can be transformative in creating a sustainable society. Yet there are limitations on how far venture capitalists (VCs) can go in supporting these technologies. These limits exist because of the performance expectations of the main stakeholder group who hold VCs accountable. The financial backers of VCs expect an exceptional return on their investment, given the high level of risk they take on when they invest in unproven startups. This chapter explores the constraints that the financial obligations VCs have to their main backers put on their role in bringing about a more sustainable global society. It investigates VC firms’ responses to CE exits (initial public offerings (IPOs) and acquisitions) and shows how prior CE exits affect CE investment growth when we compare VCs exit records to that of their peers. This chapter demonstrates that VCs only increase CE investments when the cumulative number of exits substantially exceed that of their peers, while they decrease these investments when the cumulative number of their exits only moderately outpace that of their peers. The chapter suggests that the reason VCs respond in this way is the financial pressure VCs experience because of their dependence on their financial backers.

Designing and developing safe systems has been a persistent challenge in health care, and in surgical settings in particular. In efforts to promote safety, safety culture, i.e., shared values regarding safety management, is considered a key driver of high-quality, safe healthcare delivery. However, changing organizational culture so that it emphasizes and promotes safety is often an elusive goal. The Safe Surgery Checklist is an innovative tool for improving safety culture and surgical care safety, but evidence about Safe Surgery Checklist effectiveness is mixed. We examined the relationship between changes in management practices and changes in perceived safety culture during implementation of safe surgery checklists. Using a pre-posttest design and survey methods, we evaluated Safe Surgery Checklist implementation in a national sample of 42 general acute care hospitals in a leading hospital network. We measured perceived management practices among managers (n = 99) using the World Management Survey. We measured perceived preoperative safety and safety culture among clinical operating room personnel (N = 2,380 (2016); N = 1,433 (2017)) using the Safe Surgical Practice Survey. We collected data in two consecutive years. Multivariable linear regression analysis demonstrated a significant relationship between changes in management practices and overall safety culture and perceived teamwork following Safe Surgery Checklist implementation.

Hospital nurse managers are in the middle. Their supervisors expect that they will monitor and discipline nurses who commit errors, while also asking them to create a culture that fosters reporting of errors. Their staff nurses expect the managers to support them after errors occur. Drawing on interviews with 20 nurse managers from three tertiary care hospitals, the study identifies key exemplars that illustrate how managers monitor nursing errors. The exemplars examine how nurse managers: (1) sent mixed messages to staff nurses about incident reporting, (2) kept two sets of books for recording errors, and (3) developed routines for classifying potentially harmful errors into non-reportable categories. These exemplars highlight two tensions: the application of bureaucratic rule-based standards to professional tasks, and maintaining accountability for errors while also learning from them. We discuss how these fundamental tensions influence organizational learning and suggest theoretical and practical research questions and a conceptual framework.

Previous research has demonstrated that communication failure and interpersonal conflicts are significant impediments among health care teams to assess complex information and engage in the meaningful collaboration necessary for optimizing patient care. Despite the prolific research on the role of effective teamwork in accomplishing complex tasks, such findings have been traditionally applied to business organizations and not medical contexts. This chapter, therefore, reviews and applies four theories from the fields of organizational behavior (OB) and organization development (OD) as potential means for improving team interaction in health care contexts. This study is unique in its approach as it addresses the long-standing problems that exist in team communication and cooperation in health care teams by applying well-established theories from the organizational literature. The utilization and application of the theoretical constructs discussed in this work offer valuable means by which the efficacy of team work can be greatly improved in health care organizations.

Julia Balogun is the Professor Sir Roland Smith Chair in strategic management at Lancaster University Management School (UK) and a fellow of the Advanced Institute for Management (AIM). Julia's research and consulting centers on strategy development, strategic change and transformation. She has a particular interest in how large corporations transform themselves to both retain and regain competitive advantage in the face of declining performance and is increasingly interested in how this achieved in multinational corporations. She adopts a sociological perspective to explore strategizing in organizations, and is convenor of the EGOS standing working group on Strategy as Practice and one of the founder members of the new Strategizing, Activities and Practice Interest Group at the Academy. Her research has been published in journals such as Academy of Management Journal, Journal of Management Studies, Organization Studies and Long Range Planning. Julia serves on the editorial boards of several leading journals, including Academy of Management Journal, Organization Science, Journal of Management Studies, and Long Range Planning.

Environmental jolts and shifting membership challenge a group's efficacy and survival. Group identity is critical for a shared interpretation of and response to these challenges, but external and internal changes may require corresponding changes in a group's core identity. In a qualitative study of longshoremen in San Pedro, California, we observe an evolution in group identity as we track communication spoken and printed in the hiring halls, on the docks, and during casual social interactions. The emphasis in the shared language gradually shifts from safety and solidarity to safety, collaboration, and economic power. The newly developed language supports and shapes the longshoremen's identity and provides an interpretive guide for how to react to and benefit from disruptive external events.

Case studies of four important automobile firms are used to understand how the performance of both diversifying and new entrants into the automobile industry was conditioned by their pre-entry experience. Various conjectures based on the four firms are then tested using a unique data source on the pre-entry backgrounds of all entrants into the automobile industry from the commercial inception of the industry in 1895 through 1966. In addition to analyzing the types of pre-entry experiences that affected the longevity of entrants, the analysis also focuses on the conduits by which pre-entry experience influenced the performance of entrants and the extent to which pre-entry experience had enduring effects.

Patent litigation consists of non-market actions that firms undertake to access intellectual property rights defined by prior legislation and enforced by the courts. Thus, patent litigation provides an interesting context in which to explore aspects of firm’s non-market strategies. In contrast with prior non-market strategy research that has largely focused on how political institutions define the rules of the game for market competition, non-market actions within patent litigation primarily seek to access and apply these broad policies to specific situations, products, or assets that matter to the firm. Furthermore, because such non-market actions are directly influenced by the firms’ market strategies, they represent a promising area for research on integrated (market and non-market) strategies as well.

The goal of this paper is to explain how generic patent strategies that firms use to support their competitive advantage in the product-market influence non-market outcomes related to the timing of patent litigation resolution. In contrast with prior research that has studied settlement in patent litigation essentially as a one-shot bargaining game, this paper seeks to explain litigation resolution as an outcome of the competing mechanisms of settlement and adjudication that operate continually during litigation. Using a large sample of patent litigations in research medicines and computers, I model the timing of patent litigation resolution in a proportional hazards framework, wherein settlement and adjudication are competing risks. The evidence found is consistent with the proposition that the speed with which patent litigation is resolved by either settlement or adjudication reflects the use of proprietary, defensive, and leveraging patent strategies by firms. These findings also help to explain unexpected and anomalous findings regarding the settlement of patent litigation reported in prior research.

By utilizing a large sample of firms during the period 2006–2017, the author determine which types of firms are more likely to go bankrupt. The author shows that over-leveraged firms have significantly higher probability of going bankrupt, which highlight the importance of the concept of optimal corporate capital structure. The author finds that private firms and export-oriented firms experience lower hazard rates. Proposed hazard statistical model highlights that more profitable firms, firms with better liquidity, firms with more tangible assets and larger firms all have statistically higher survival rates. The author finds that bankruptcy rates are the lowest among service firms and the highest in construction industry. Ownership variables indicate that state-owned firms, firms with foreign ownership and firms, owned by holdings, are less likely to fail, all else equal. Finally, the author demonstrates that proposed statistical model successfully predicts the probability of bankruptcy. The mean cumulative hazard function for a group of surviving firms is statistically significantly lower compared to a group of failing firms. In order to survive in a long run, firm’s management should especially be aware of their optimal capital structure and use rather less leverage than going over the sustainable level.