Long Range Planning最新文献

With the revelation of questionably ethical practices at the world's most innovative firms, scholars and practitioners have begun to question whether a link might exist between innovation and wrongdoing. We introduce the concept of organizational permissiveness—i.e., tolerance of employees' norm-challenging behavior—to begin unpacking the relationships between cognitive norm-breaking, radical innovation, and corporate wrongdoing. We argue that organizational permissiveness partially mediates the effects of innovation-intensive strategy on innovation outcomes and multiple types of corporate wrongdoing. We analyze a sample of publicly held U.S. firms to demonstrate that the norm-breaking necessary for radical innovation also can produce corporate wrongdoing. Moreover, organizational permissiveness is a mechanism leading to both outcomes. We then use a smaller-sample quasi-experiment examining how merger and acquisition events affect individual scientists' patenting behavior. This provides further support for our hypothesized causal assertions.

Companies are increasingly pursuing competitive advantage through innovative use of advanced information technologies, such as artificial intelligence. Management education must prepare students with the skills and knowledge needed to function effectively and ethically in this increasingly digitalized business environment. Yet, we have no consensus on what constitutes digital strategy, let alone how the topic ought to be taught. To advance the emerging subdiscipline of digital strategy, this article takes stock of the teaching in this nascent domain. We conducted an inductive analysis of twelve postgraduate modules and fifteen massive open online courses (MOOCs) to provide an empirically grounded framework. Our analysis categorizes digital strategy-related module content into four domains, constituted by thirteen topic areas. We further identify five distinct course profiles that digital strategy modules typically follow. This article contributes to the strategic management discipline by providing an exploration of digital strategy teaching and offering concrete guidelines for teaching digital strategy in business schools and universities, either as a module on its own right or as part of an existing strategy module.

Entrepreneurs present their ideas in a favorable light through compelling communications that may shape the investors' impressions about the value of the startup's technology and its potential to disrupt. Assessing such communications, venture capital (VC) investors get an impression of the startup's technology and shape their willingness to commit resources to it. Since diverse kinds of VC investors pursue alternative investment objectives, they may develop different impressions of the startup's technology and accordingly make different resource commitment decisions. This paper aims to investigate the resource commitment decisions of VC investors when financing startups communicating disruptiveness by distinguishing between independent venture capitalists (IVC) and corporate venture capitalists (CVC). Analyzing data about 664 medical device and biotech startups in a 10-year period, we found that communicating disruptiveness decreases the amount of funding committed by IVC, while it has a curvilinear effect on the amount of funding provided by CVC. Our findings contribute to the literature and provide important implications for managers of startups aiming to secure funding from different VC investors.

We draw on the Upper Echelons theory to investigate the effect of CEO liberalism—as reflected by core beliefs on the liberal-conservative spectrum—on firm engagement in corporate social irresponsibility (CSI). We argue that CEO liberalism is related to an asymmetric treatment of shareholders and other non-shareholding stakeholders. Specifically, we distinguish CSI behavior toward shareholders from CSI behavior toward non-shareholding stakeholders and predict that while CEO liberalism reduces CSI behavior toward non-shareholding stakeholders, it also increases CSI behavior toward shareholders. We further identify governance contingency factors, such as institutional ownership, board composition, and compensation mechanisms, that moderate the predicted main relationships. We test our predictions with a sample of S&P 500 firms between 2000 and 2009 and find support for most of our hypotheses.

In this paper, we claim that ownership is a key determinant of the firms' divestment-reinvestment sequence in a foreign country. Building on the notion of ‘relational vs. transactional ownership’, we distinguish between relational-type firms (namely, family-owned and state-owned firms), and transactional-type firms (privately non-family-owned firms). We argue that relational-type firms are less likely to both divest from, and reinvest in, a given foreign country. In fact, relational owners set a lower performance threshold of intervention than transactional ones; additionally, in order to turn the tide, the former often increase resource injection when subsidiary performance falls below the threshold. Such an escalation of commitment increases sunk costs and further decreases the likelihood of divesting the subsidiary. Moreover, when a divestment occurs, the memory of high sunk costs incurred reduces the propensity to reinvest in the same host country. We test our conceptual framework on a large sample of investments, divestments and subsequent re-entries undertaken in the period 2000–2015 by 602 Italian firms. Our econometric findings corroborate our hypotheses, thus contributing to the literature on the interdependencies between divestment and reinvestment choices, and their relationships with corporate ownership.

This article deepens the analysis of the strategic balance perspective's boundary conditions through the lens of competitive dynamics, focusing on the particular case of small firms. We propose that competitive interdependence shapes the link between strategic similarity and small-firm performance. Specifically, we examine this boundary condition in terms of competitive asymmetry and market overlap between a small firm and two reference points, namely the industry leader and peers. We find that the effect of strategic similarity differs depending on whether there is competitive asymmetry and on the level of market overlap.

Research on big data analytics has been burgeoning in recent decades, yet its relationship with strategy continues to be overlooked. This paper reviews how big data analytics and strategy are portrayed across 228 articles, identifying two dominant discourses: an input-output discourse that views big data analytics as a computational capability supplementing prospective strategy formulation and an entanglement discourse that theorizes big data analytics as a socially constructed agent that (re)shapes the emergent character of strategy formation. We deconstruct the inherent dichotomies of the input-output/entanglement divide and reveal how both discourses adopt disjointed positions vis-à-vis relational causality and agency. We elaborate a semiotic view of big data analytics and strategy that transcends this standoff and provides a novel theoretical account for conjoined relationality between big data analytics and strategy.

The nature of the relationship between growth and profitability remains inconclusive, despite prior research. To contribute to a better understanding of the growth-profitability relationship, we examine its non-linear character. We achieve this by deconstructing growth into organic and acquisitive modes, and by theorizing how the particular costs and benefits of each mode affect the profitability, which we measure as return on assets. Furthermore, we propose that the interaction of these two modes can also affect profitability. By studying these relationships with a panel data set of established German firms during a 13-year period, we uncover an inverted U-shaped relationship between growth and profitability that is mainly driven by acquisitive growth. These decreasing returns at higher levels of acquisitive growth are related to the higher internal costs of managing acquisitions. Consistent with our logic, we find that organic growth has a declining positive profitability effect. The interaction of both growth modes also shows that increasing acquisitive growth negatively impacts the positive effect of organic growth on profitability.

Organizations need to shift from the existing path and form a new path (i.e., realizing path transformation) after disruptive environmental changes, and yet it is a difficult process hardly known in the literature. This study reports on a comparative case study to examine middle managers’ roles in organizational path transformation. We show that middle managers can facilitate organizational path transformation first by breaking the lock-in state via individual exploration and collective assessment, and then by triggering self-reinforcing effects to form a new strategic pattern via external resource acquisition and synergistic internal deployment. In contrast, middle managers who conduct individual exploration, individual assessment, and independent resource deployment can create obstacles for organizational path transformation. Organizational contexts are likely the underlining cause for the differences between these two kinds of behaviors. This research contributes to the literature by revealing how middle managers facilitate or impede path transformation, and by identifying organizational contexts that influence their different behaviors.

We advance performance feedback theory by showing how decision makers respond to inconsistent performance feedback on multiple goals, and how status shapes these responses for introducing behavioral changes. We argue that inconsistent performance feedback on primary and secondary goals decrease decision makers' propensity to initiate changes, while their high status operates both as a critical asset that motivates solution search for fixing a performance shortfall on a primary goal and as a resource buffer against self-enhancement beliefs when addressing inconsistent feedback on multiple goals. We test our arguments using a dataset of 107,791 Airbnb properties and find support for our hypotheses. We discuss the contributions of our findings to the performance feedback theory.