Jake Duke , Taha Havakhor , Rachel Mui , Owen Parker
{"title":"How strategic alliances shape problemistic search intensity: Evidence from responses to social and historical underperformance","authors":"Jake Duke , Taha Havakhor , Rachel Mui , Owen Parker","doi":"10.1016/j.lrp.2024.102437","DOIUrl":null,"url":null,"abstract":"<div><p>Taking a social networks approach to the performance feedback model from the Behavioral Theory of the Firm (BTOF), we examine how a firm’s position within a strategic alliance network—and the structure surrounding that position—creates distinct pressures that differentially impact decision makers’ problemistic search intensity to social and historical underperformance. We test our predictions on a sample of 32,780 observations of the alliance networks of 4,726 firms and their R&D intensity from 2000–2015 and find results robust to numerous alternative specifications. Results indicate that highly centralized firms search more intensely in response to social underperformance and less intensely in response to historical underperformance. However, structural holes in the network reduce response intensity to social underperformance but increase response intensity to historical underperformance. We posit this is due to how altering one’s network cognitively shapes the perceived threat of status loss. Our study is both managerially and theoretically important, since firms increasingly rely on strategic alliances in the face of major disruptions including globalization, economic crises, and pandemics, and since strategic alliances are instrumental in shaping how firms set and respond to aspirational benchmarks.</p></div>","PeriodicalId":18141,"journal":{"name":"Long Range Planning","volume":null,"pages":null},"PeriodicalIF":7.4000,"publicationDate":"2024-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Long Range Planning","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0024630124000244","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0
Abstract
Taking a social networks approach to the performance feedback model from the Behavioral Theory of the Firm (BTOF), we examine how a firm’s position within a strategic alliance network—and the structure surrounding that position—creates distinct pressures that differentially impact decision makers’ problemistic search intensity to social and historical underperformance. We test our predictions on a sample of 32,780 observations of the alliance networks of 4,726 firms and their R&D intensity from 2000–2015 and find results robust to numerous alternative specifications. Results indicate that highly centralized firms search more intensely in response to social underperformance and less intensely in response to historical underperformance. However, structural holes in the network reduce response intensity to social underperformance but increase response intensity to historical underperformance. We posit this is due to how altering one’s network cognitively shapes the perceived threat of status loss. Our study is both managerially and theoretically important, since firms increasingly rely on strategic alliances in the face of major disruptions including globalization, economic crises, and pandemics, and since strategic alliances are instrumental in shaping how firms set and respond to aspirational benchmarks.
期刊介绍:
Long Range Planning (LRP) is an internationally renowned journal specializing in the field of strategic management. Since its establishment in 1968, the journal has consistently published original research, garnering a strong reputation among academics. LRP actively encourages the submission of articles that involve empirical research and theoretical perspectives, including studies that provide critical assessments and analysis of the current state of knowledge in crucial strategic areas. The primary user base of LRP primarily comprises individuals from academic backgrounds, with the journal playing a dual role within this community. Firstly, it serves as a platform for the dissemination of research findings among academic researchers. Secondly, it serves as a channel for the transmission of ideas that can be effectively utilized in educational settings. The articles published in LRP cater to a diverse audience, including practicing managers and students in professional programs. While some articles may focus on practical applications, others may primarily target academic researchers. LRP adopts an inclusive approach to empirical research, accepting studies that draw on various methodologies such as primary survey data, archival data, case studies, and recognized approaches to data collection.