How open is innovation? A retrospective and ideas forward

This paper sheds fresh light on our 2010 paper How Open Is Innovation by taking into consideration notable developments in innovation over the last decade. The original paper developed four types of openness: sourcing, acquiring, selling, and revealing. Reflecting on important technological, organizational, and societal changes in the past decade, we highlight how these changes prompt novel questions for open innovation. While the core features of the original framework still stands, there are many new questions that have emerged in recent years. We end by charting a path for future research that emphasizes opportunities, costs and tradeoffs between different modes of open innovation, the need to better understand the nature of data, new organizational designs and legal instruments, and multilevel aspects and relationships that affect the extent and nature of openness

The new needs friends: Simmelian strangers and the selection of novelty

The paradox of rejecting novel ideas while being motivated to select them exists in many realms. Deviating from prior research that investigated several internal levers to promote the funding of novel ideas in the sciences, we focus on an external lever by investigating how seconded employees increase the selection of novel ideas in two ways: (1) they select more novel ideas themselves, and (2) they influence permanent employees to do the same. Combining unique quantitative longitudinal data and 37 in-depth interviews, we test our predictions in the secondment program at the National Science Foundation and find broad support for our theoretical arguments. Our findings have implications for scholars of science and innovation by proposing a relatively light-touch intervention to facilitate the selection of novel ideas

Blinded by the person? Experimental evidence from idea evaluation

Research Summary: Seeking causal evidence on biases in idea evaluation, we conducted a field experiment in a large multinational company with two conditions: (a) blind evaluation, in which managers received no proposer information, and (b) non-blind evaluation, in which they received the proposer\u27s name, unit, and location. To our surprise—and in contrast to the preregistered hypotheses—we found no biases against women and proposers from different units and locations, which blinding could ameliorate. Addressing challenges that remained intractable in the field experiment, we conducted an online experiment, which replicated the null findings. A final vignette study showed that people overestimated the magnitude of the biases. The studies suggest that idea evaluation can be less prone to biases than previously assumed and that evaluators separate ideas from proposers. Managerial Summary: We wanted to find out if there were biases in the way managers evaluate ideas from their employees. We did a field experiment in a large multinational technology company where we tested two different ways of evaluating ideas: one where managers did not know anything about the person who came up with the idea and one where they did know the person\u27s name, which unit they worked for, and where they were located. The results were surprising. We did not find any bias against women and employees that did not work in the same location and unit as the evaluator. Managers are advised that hiding the identity of idea proposers (from idea evaluators) may not be a silver bullet to improving idea evaluation

From the Editors: Information, Attention, and Decision Making

More than five decades after the seminal works on how individuals process information and make decisions within organizations were published (Cyert & March, 1963; Simon, 1957), the thesis that individuals, groups, and organizations are bounded in their rationality and ability to attend to information continues to remain salient. Individuals and organizations display cognitive and motivational biases, both in their attention to information and in their decisions based on that information (De Dreu, Nijstad, & van Knippenberg, 2008; Ocasio, 2011; Tversky & Kahneman, 1974). The nature and volume of information, and managers\u27 behaviors in seeking and using information, have undergone massive transformation over these past 50 years, which have seen the emergence of electronics, computers, and the Internet. Advances in information technology, mobile communications, and big data collection and storage mean that more people and firms have access to more information than ever before (George, Haas, & Pentland, 2014; Hilbert & Lopez, 2011). Yet, our frameworks of attention and decision making have not seen corresponding radical shifts. Perhaps, the underlying processes of decision making remain the same despite the transformative change in context. Alternatively, it is plausible that our theoretical advances have not matched the speed of change in information contexts confronted by businesses and policymakers alike. The growing ubiquity of information provides unprecedented opportunities—for learning, creativity , and innovation, as well as for performance. Understanding how to leverage these possibilities becomes an important challenge for management research and practice. However, the abundance of information also implies increasing competition for the attention of individuals, groups, and organizations ; increasing potential for information overload to fuel biases in decision making; increasing costs of collecting, storing, and sharing information ; and an increasing risk that all this information becomes a distraction from more relevant information or indeed from the job itself. Thus, a key challenge in the information age is to manage this wealth of available information and channel it to productive ends. In this thematic issue, we explore how management in the information age potentially differs and challenges our existing theoretical frameworks and assumptions. We assembled articles that address the rapidly evolving opportunities and challenges of managing in this new information-rich context. These articles are motivated by emergent themes and trends that set the stage for current and future scholarly research on information, attention, and decision making. We follow a brief analysis of these articles with potential directions for future research and highlight broader pastures where systematic research could further improve our understanding of how we live and work in the information age

GitLab: work where you want, when you want

GitLab is a software company that works “all remote” at the scale of more than 1000 employees located in more than 60 countries. GitLab has no physical office and its employees can work from anywhere they choose. Any step of the organizational life of a GitLab employee (e.g., hiring, onboarding and firing) is performed remotely, except for a yearly companywide gathering. GitLab strongly relies on asynchronous coordination, allowing employees to work anytime they want. After highlighting some of the main practices implemented by GitLab to effectively work all remotely and asynchronously, I asked renowned organizational scientists their thoughts on this interesting case and to question the generalizability of the all remote asynchronous model. Understanding whether and under what conditions this model can succeed can be of guidance for organizational designers that are now considering different remote models in response of the COVID-19 shock and its aftermath

Evaluating novelty:the role of panels in the selection of R&D projects

Building on a unique, multi-source, and multi-method study of R&D projects in a leading professional services firm, we develop the argument that organizations are more likely to fund projects with intermediate levels of novelty. That is, some project novelty increases the share of requested funds received, but too much novelty is difficult to appreciate and is selected against. While prior research has considered the characteristics of the individuals generating project ideas, we shift the focus to the panel of selectors and explore how they shape the evaluation of novelty. We theorize that a high panel workload reduces panel preference for novelty in selection, whereas a diversity of panel expertise and a shared location between panel and applicant increase preference for novelty. We explore the implications of these findings for theories of innovation search, organizational selection, and managerial practice

The open innovation research landscape: established perspectives and emerging themes across different levels of analysis

This paper provides an overview of the main perspectives and themes emerging in research on open innovation (OI). The paper is the result of a collaborative process among several OI scholars – having a common basis in the recurrent Professional Development Workshop on ‘Researching Open Innovation’ at the Annual Meeting of the Academy of Management. In this paper, we present opportunities for future research on OI, organised at different levels of analysis. We discuss some of the contingencies at these different levels, and argue that future research needs to study OI – originally an organisational-level phenomenon – across multiple levels of analysis. While our integrative framework allows comparing, contrasting and integrating various perspectives at different levels of analysis, further theorising will be needed to advance OI research. On this basis, we propose some new research categories as well as questions for future research – particularly those that span across research domains that have so far developed in isolation