IESE Business School

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    Monopsony power in the labor market: From theory to policy
    (Annual Reviews, 2024-08) Azar, J. (José); Marinescu, I. (Ioana)
    Labor markets are not perfectly competitive: Monopsony power enables employers to pay workers less than the marginal revenue product of labor. We review three theoretical frameworks explaining monopsony power. Oligopsony models attribute it to strategic interactions among a limited number of firms. Job differentiation models cite imperfect job substitution and heterogeneous worker preferences. Search-and-matching models point to search frictions hindering instantaneous access to all available jobs. We then develop a theory-informed discussion of the empirical evidence on antitrust policies, policies that reduce barriers to job switching, and policies countering monopsony's effects on workers. Preventing mergers and regulating noncompetition agreements can increase wages by preserving competition among employers. Minimum wages can mitigate the effect of monopsony power by increasing wages without reducing employment. The insights garnered from both theoretical models and empirical evidence offer a road map for crafting policies that can enhance competition in the labor market.
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    The role of experience and diversity on research consortia’ performance: an exploratory approach
    (Springer, 2024-02-17) Alegre, I. (Inés); Berbegal-Mirabent, J. (Jasmina); Martín-Sánchez, V. (Víctor)
    In the realm of academic engagement, this study directs its focus toward a policy instrument that has received surprisingly scant attention within the literature, despite its substantial investment: European Union-funded research projects. These projects are designed to foster collaboration and establish a framework that supports and fortifies the creation and dissemination of exceptional knowledge and cutting-edge technologies. These endeavors are anticipated to fuel economic growth, spur social development, and address global challenges. Within this study, we delve into the impact of team experience and diversity on the research performance of consortia — groups of organizations — that have been successfully awarded funding within the FP7 and H2020 funding schemes. In order to dissect the influence of learning, our analysis is confined to consortia that have collaborated on multiple occasions. Drawing from data sourced from Community Research and Development Information Service, our findings unveil that beyond the monetary allocation, an array of team attributes and environmental factors play a role in augmenting team performance.
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    The role of target-specific shared reality in interpersonal interactions and protective health behaviours
    (John Wiley & Sons, 2024) Schmalbach, B. (Bjarne); Higgins, E.T. (Tory); Rossignac-Milon, M. (Maya); Cornwell, J.F.M. (James); Echterhoff, G. (Gerald); Keller, V.N. (Victor)
    Shared reality—the experience of sharing common inner states (e.g. feelings, beliefs) with other people about a given topic or target—is a ubiquitous human experience. With research on the construct of shared reality burgeoning in various domains, we examined a fundamental, yet understudied topic: the role of experiencing shared reality about a target in real-time conversations and real-world contexts. Across five studies conducted in various contexts (total N = 973), we developed a measure of target-specific shared reality (SR-T) and examined its role in interpersonal interactions and protective health behaviours. In our initial Studies (1a-2), we developed a measure of SR-T and establish psychometric, construct and criterion validity. In Study 3, we established predictive validity by investigating the link between SR-T and important interpersonal interaction constructs (e.g. interpersonal rapport and epistemic trust in the partner). In Study 4 (preregistered), SR-T moderated the effect of close others’ attitudes on vaccination and precautionary behaviours against COVID-19 during the Omicron-variant peak (2022). Our findings suggest that the experience of SR-T, assessed with a valid measure, is linked to important dimensions of interpersonal interactions and health decisions in the real world.
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    A fit perspective to family supportive supervisor behaviors: Exploring the role of protean career orientation on employee outcomes
    (Elsevier, 2023-04-21) Wang, S. (Siqi); Hall, D.T. (Douglas Tim); Las-Heras-Maestro, M. (Mireia); Idrovo-Carlier, S. (Sandra); Rofcanin, Y. (Yasin); Bosch, M.J. (María José)
    In a context where employees find it increasingly difficult to juggle work and family demands, increasing attention has been paid to family supportive supervisor behaviors (FSSB). Drawing on key tenets of the Conservation of Resources (COR) Theory, we hypothesize that FSSB is positively related to needs-supplies fit, which in turn, predicts both work and nonwork outcomes i.e., proactive skill development and sleep quality. We also hypothesize that for employees high on protean career orientation (PCO), the consequences of FSSB are more significant and positive on both a) employees' perceived needs-supplies fits and b) proactive skill development. We conducted a three-wave study with a month time interval in Chile, Colombia, and Spain with matched data of subordinates and their managers (N = 454). Most of our hypotheses were supported. We expand and contribute to the literature by providing a fit perspective to research on FSSB, arguing that such behaviors improve employees’ perceptions of their jobs, with a consequential positive impact on their work and nonwork outcomes. The results demonstrate the key role of FSSB in enabling employees to perceive a better fit with their jobs. For HR managers and practitioners, results show that keeping protean-oriented employees is a promising strategy.
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    Organizational scaling, scalability, and scale-up: Definitional harmonization and a research agenda
    (Elsevier, 2024-07-16) Nambisan, S. (Satish); Patzelt, H. (Holger); Autio, E. (Erkko); Coviello, N. (Nicole); Thomas, L.D.W. (Llewellyn D.W.)
    The concepts of ‘scaling,’ ‘scalability,’ and ‘scale-up’ are increasingly used in business research and practice. However, the literature reveals a range of definitions for each, and often, their meanings are only implied. This diminishes the ability to build cumulative and meaningful insight - and conduct research - on each concept. In this editorial, we offer a systematic review that assesses and harmonizes prior definitions of these important concepts. This allows us to define and differentiate between (a) scaling as an organizational process, (b) scalability as an ordinary organizational capability, and (c) scale-up as a phase of organizational development. Complementing and extending existing scholarly work, we develop a rich agenda for scaling-related research in entrepreneurship.
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    Same data, different conclusions: Radical dispersion in empirical results when independent analysts operationalize and test the same hypothesis
    (Elsevier, 2021) Strobl, C. (Carolin); Canela, M.A. (Miguel A.); Viganola, D. (Domenico); Staub, N. (Nicola); Schaumans, C.B.C. (Catherine B.C.); Murase, T. (Toshio); Snellman, K. (Kaisa); Goldstein, P. (Pavel); Althoff, T. (Tim); Schweinsberg, M. (Martin); Kelchtermans, S. (Stijn); Bernstein, A. (Abraham); Feldman, M. (Michael); Aert, R.C.M. (Robbie C.M.) van; Tierney, W. (Warren); Robinson, E. (Emily); Heer, J. (Jeffrey); Sommer, S.A. (S. Amy); Madan, N. (Nikhil); Prasad, V.V. (Vaishali Venkatesh); Mandl, B. (Benjamin); Liu, Y. (Yang); Kale, A. (Alex); Amireh, H. (Hashem); Robinson, D. (David); Silberzahn, R. (Raphael); Akker, O.R. (Olmo R.) van den; Assen, M.A.L.M (Marcel A.L.M.) van; Otner, S.M.G. (Sarah M.G.); Mohamed, Z. (Zainab)
    In this crowdsourced initiative, independent analysts used the same dataset to test two hypotheses regarding the effects of scientists’ gender and professional status on verbosity during group meetings. Not only the analytic approach but also the operationalizations of key variables were left unconstrained and up to individual analysts. For instance, analysts could choose to operationalize status as job title, institutional ranking, citation counts, or some combination. To maximize transparency regarding the process by which analytic choices are made, the analysts used a platform we developed called DataExplained to justify both preferred and rejected analytic paths in real time. Analyses lacking sufficient detail, reproducible code, or with statistical errors were excluded, resulting in 29 analyses in the final sample. Researchers reported radically different analyses and dispersed empirical outcomes, in a number of cases obtaining significant effects in opposite directions for the same research question. A Boba multiverse analysis demonstrates that decisions about how to operationalize variables explain variability in outcomes above and beyond statistical choices (e.g., covariates). Subjective researcher decisions play a critical role in driving the reported empirical results, underscoring the need for open data, systematic robustness checks, and transparency regarding both analytic paths taken and not taken. Implications for organizations and leaders, whose decision making relies in part on scientific findings, consulting reports, and internal analyses by data scientists, are discussed.
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    A call for action: the impact of business model innovation on business ecosystems, society and planet
    (Elsevier, 2022-01-13) Snihur, Y. (Yuliya); Bocken, N. (Nancy)
    The impact of business model innovation (BMI) on business ecosystems, society, and planet is of growing theoretical and practical importance for strategic management. Increasing sustainability pressures warrant a better understanding of the impact of companies’ BMI through a more comprehensive analysis of innovation and its consequences. We discuss four foci of innovation (BMI, sustainable BMI, ecosystem innovation, and sustainable ecosystem innovation) to broaden the conceptualization of innovation and its economic, societal, and natural environmental impacts. We call for scholarship examining the impact of BMI to advance knowledge through research on value destruction and the dynamics of BMI over time.
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    Lean Startup and the business model: Experimenting for novelty and impact
    (Elsevier, 2019-12-26) Snihur, Y. (Yuliya); Bocken, N. (Nancy)
    Lean Startup has been impacting how startups and incumbents innovate their business models. However, academic understanding of Lean Startup and the associated experimentation process is only emerging. Recent academic critique of Lean Startup by Felin and colleagues (in press) highlights the inadequate guidance provided for hypotheses generation; limits of experiential learning from customer feedback; and the incremental nature of experimentation outcomes. Yet, Lean Startup has not been conceived for ideation, but rather for fostering iterative experimentation to reduce uncertainty, engage stakeholders, and promote collective learning. Taking a process perspective on experimentation, we suggest that novel business models can emerge during experimentation. We contribute a more positive perspective on the opportunities of Lean Startup and highlight how it can enable continuous innovation and stakeholder engagement for novelty and impact.
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    On the trajectory of discrimination: A meta-analysis and forecasting survey capturing 44 years of field experiments on gender and hiring decisions
    (Elsevier, 2023-11-10) Clark, C.J. (Cory J.); Lakens, D. (Daniël); Gender Audits Forecasting Collaboration; Pfeiffer, T. (Thomas); Dreber, A. (Anna); Nguyen, M.H.B. (My Hoang Bao); Schaerer, M. (Michael); Tiokhin, L. (Leo); Du-Plessis, C. (Christilene); Uhlmann, E. L. (Eric Luis); Aert, R.C.M. (Robbie C.M.) van; Clemente, E. G. (Elena Giulia); Johannesson, M. (Magnus)
    A preregistered meta-analysis, including 244 effect sizes from 85 field audits and 361,645 individual job applications, tested for gender bias in hiring practices in female-stereotypical and gender-balanced as well as male-stereotypical jobs from 1976 to 2020. A “red team” of independent experts was recruited to increase the rigor and robustness of our meta-analytic approach. A forecasting survey further examined whether laypeople (n = 499 nationally representative adults) and scientists (n = 312) could predict the results. Forecasters correctly anticipated reductions in discrimination against female candidates over time. However, both scientists and laypeople overestimated the continuation of bias against female candidates. Instead, selection bias in favor of male over female candidates was eliminated and, if anything, slightly reversed in sign starting in 2009 for mixed-gender and male-stereotypical jobs in our sample. Forecasters further failed to anticipate that discrimination against male candidates for stereotypically female jobs would remain stable across the decades.
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    Creative destruction in science
    (Elsevier, 2020-09-29) Hardy-III, J.H. (Jay H.); Ebersole, C. R. (Charles R.); Viganola, D. (Domenico); Pfeiffer, T. (Thomas); Dreber, A. (Anna); Hiring Decisions Forecasting Collaboration; Leavitt, K. (Keith); Uhlmann, E. L. (Eric Luis); Tierney, W. (Warren); Clemente, E. G. (Elena Giulia); Gordon, M. (Michael); Johannesson, M. (Magnus)
    Drawing on the concept of a gale of creative destruction in a capitalistic economy, we argue that initiatives to assess the robustness of findings in the organizational literature should aim to simultaneously test competing ideas operating in the same theoretical space. In other words, replication efforts should seek not just to support or question the original findings, but also to replace them with revised, stronger theories with greater explanatory power. Achieving this will typically require adding new measures, conditions, and subject populations to research designs, in order to carry out conceptual tests of multiple theories in addition to directly replicating the original findings. To illustrate the value of the creative destruction approach for theory pruning in organizational scholarship, we describe recent replication initiatives re-examining culture and work morality, working parents’ reasoning about day care options, and gender discrimination in hiring decisions.