Industrial and Corporate Change最新文献_第5页

Internal versus external knowledge sourcing of organizational rules: an exploratory study of CPGs in a healthcare organization 组织规则的内部与外部知识来源:医疗保健组织CPGs的探索性研究

4区管理学

Industrial and Corporate Change Pub Date : 2023-10-28 DOI: 10.1093/icc/dtad055

Kejia Zhu, Martin Schulz

{"title":"Internal versus external knowledge sourcing of organizational rules: an exploratory study of CPGs in a healthcare organization","authors":"Kejia Zhu, Martin Schulz","doi":"10.1093/icc/dtad055","DOIUrl":"https://doi.org/10.1093/icc/dtad055","url":null,"abstract":"Abstract In this study, we examine how organizational rules source knowledge. By knowledge sourcing of a rule, we mean the formation of reference ties from the rule to knowledge sources located outside of the focal rule. Rules can source knowledge from sources within the organization (e.g., other rules) and outside (e.g., research publications, policies, standards, etc.). Our theoretical model proposes that knowledge sourcing of rules is driven by inherent incompleteness of rules as a result of bounded rationality of rule makers and rule making process. Incomplete rules can lead to experiences of insufficient rule knowledge, termed “knowledge gaps,” which are shaped by rule dynamics at the levels of individual rules, the rule system, and rule networks. Our theoretical model leads to several hypotheses that we test with longitudinal archival data of clinical practice guideline (CPG) changes in a Canadian healthcare organization. The findings support our theoretical model of incomplete organizational rules which encounter knowledge gaps and close them through internal and external knowledge sourcing. The theoretical and practical implications of the findings are discussed.","PeriodicalId":48243,"journal":{"name":"Industrial and Corporate Change","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136158336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Disruptive evolution: harnessing functional excess, experimentation, and science as tool 颠覆性进化:利用功能过剩、实验和科学作为工具

4区管理学

Industrial and Corporate Change Pub Date : 2023-10-28 DOI: 10.1093/icc/dtad057

Teppo Felin, Stuart Kauffman

引用次数: 0

Organizational routines: between change and stability—Introduction to the special section 组织惯例:在变化与稳定之间——特别部分的介绍

4区管理学

Industrial and Corporate Change Pub Date : 2023-10-28 DOI: 10.1093/icc/dtad058

Rouslan Koumakhov, Luigi Marengo

引用次数: 0

How stable routines can empower varied behaviors: defining routines as organizational capacities 稳定的例程如何赋予不同的行为力量:将例程定义为组织能力

4区管理学

Industrial and Corporate Change Pub Date : 2023-10-27 DOI: 10.1093/icc/dtad054

Geoffrey M Hodgson

引用次数: 0

Crowdsourcing routines: the behavioral and motivational underpinnings of expert participation 众包惯例:专家参与的行为和动机基础

4区管理学

Industrial and Corporate Change Pub Date : 2023-10-27 DOI: 10.1093/icc/dtad056

Mehdi Bagherzadeh, Andrei Gurca, Rezvan Velayati

{"title":"Crowdsourcing routines: the behavioral and motivational underpinnings of expert participation","authors":"Mehdi Bagherzadeh, Andrei Gurca, Rezvan Velayati","doi":"10.1093/icc/dtad056","DOIUrl":"https://doi.org/10.1093/icc/dtad056","url":null,"abstract":"Abstract As different crowdsourcing routines (metaphorically labeled as “fishing” and “hunting” in this study) are available to address highly technical problems, solution-seeking organizations need to mindfully design, select, and deploy crowdsourcing routines that account for the behavior and motivation of experts. Drawing on a survey involving 260 experts in science, technology, engineering, and math fields, we found that elite experts (individuals with seniority, aged over 40, and a proven track record in the field with numerous publications and patents) are generally less inclined to search for crowdsourcing open calls and prefer to be contacted by solution seekers. In contrast, non-elite experts (early career experts, aged under 40, and with fewer patents and publications) actively search to find open calls. Regarding their motivational underpinnings, our findings suggest that elite experts are motivated more by non-financial incentives than non-elite experts. Furthermore, as the frequency with which they are contacted increases, non-elite experts tend to prefer more non-financial over financial incentives. These results indicate that the fishing crowdsourcing routine generally elicits solutions from unproven, non-elite experts who demand more financial rewards. However, the hunting routine taps a pool of elite experts with proven capabilities who are less financially oriented and thus may provide better, yet less expensive solutions.","PeriodicalId":48243,"journal":{"name":"Industrial and Corporate Change","volume":"2 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136317157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Routine regulation as a source for managing conflict within alliances: an integrative framework 常规规则作为管理联盟内部冲突的来源:一个综合框架

4区管理学

Industrial and Corporate Change Pub Date : 2023-10-27 DOI: 10.1093/icc/dtad059

Bryan Spencer, Carlo Salvato, Claus Rerup

引用次数: 0

Diversification as an adaptive learning process: an empirical study of general-purpose and market-specific technological know-how in new market entry 作为适应性学习过程的多样化:新市场进入中通用和市场特定技术诀窍的实证研究

4区管理学

Industrial and Corporate Change Pub Date : 2023-10-25 DOI: 10.1093/icc/dtad052

Dominika Kinga Randle, Gary Paul Pisano

{"title":"Diversification as an adaptive learning process: an empirical study of general-purpose and market-specific technological know-how in new market entry","authors":"Dominika Kinga Randle, Gary Paul Pisano","doi":"10.1093/icc/dtad052","DOIUrl":"https://doi.org/10.1093/icc/dtad052","url":null,"abstract":"Abstract An enduring trait of modern corporations is their propensity to diversify into multiple lines of business. Penrosian theories conceptualize diversification as a strategy to exploit a firm’s fungible, yet “untradeable,” resources and point to the redeployment of technological know-how as an important driver thereof. However, less understood are the characteristics of technological assets that underlie firms’ diversification decisions and the impact that diversification has on firms’ subsequent development of technologies. In this paper, we expand the existing theories in two ways. First, we argue that central to understanding firms’ diversification decisions is a distinction between their technological assets that are applicable to many markets and ones that are useful in only a limited number of contexts. To this end, we develop a novel way to characterize technologies along a continuum from highly general-purpose to highly market-specific. Second, we explore empirically the idea that diversification is an adaptive learning process involving both the exploitation of existing capabilities and the creation of novel ones. Using data on three decades of patenting and diversification histories of 28,376 firms, we find that (i) a firm’s possession of general-purpose technological assets is positively associated with its decision to diversify and (II) firms that enter a new industry through diversification develop technologies that are specialized to the target industry. Our findings have implications for understanding firm growth, diversification, and evolution.","PeriodicalId":48243,"journal":{"name":"Industrial and Corporate Change","volume":"BME-31 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135218550","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Urban manufacturing and the role of industrial relatedness in sustaining it: the case of the Brussels Capital Region 城市制造业和工业关联性在维持城市制造业中的作用:以布鲁塞尔首都地区为例

4区管理学

Industrial and Corporate Change Pub Date : 2023-10-18 DOI: 10.1093/icc/dtad051

Giovanni Bonaccolto, Giulio Pedrini, Giuseppina Talamo

引用次数: 0

The technological regime and barriers to entry 技术制度和进入壁垒

4区管理学

Industrial and Corporate Change Pub Date : 2023-10-17 DOI: 10.1093/icc/dtad048

Sung Hoon Lee

引用次数: 1

Machine learning for zombie hunting: predicting distress from firms’ accounts and missing values 寻找僵尸的机器学习:预测公司账目的困境和价值缺失

4区管理学

Industrial and Corporate Change Pub Date : 2023-10-17 DOI: 10.1093/icc/dtad049

Falco J Bargagli-Stoffi, Fabio Incerti, Massimo Riccaboni, Armando Rungi

{"title":"Machine learning for zombie hunting: predicting distress from firms’ accounts and missing values","authors":"Falco J Bargagli-Stoffi, Fabio Incerti, Massimo Riccaboni, Armando Rungi","doi":"10.1093/icc/dtad049","DOIUrl":"https://doi.org/10.1093/icc/dtad049","url":null,"abstract":"Abstract In this contribution, we propose machine learning techniques to predict zombie firms. First, we derive the risk of failure by training and testing our algorithms on disclosed financial information and nonrandom missing values of 304,906 firms active in Italy from 2008 to 2017. We then identify the highest financial distress conditional on predictions that lie above a threshold for which a combination of the false positive rate (false prediction of firm failure) and the false negative rate (false prediction of active firms) is minimized. Therefore, we identify zombies as firms that remain in financial distress, i.e., whose forecasts fall into the risk category above the threshold for at least three consecutive years. To this end, we implement a gradient boosting algorithm (XGBoost) that exploits information about missing values. The inclusion of missing values in our prediction model is crucial because patterns of undisclosed accounts are correlated with firm failure. Finally, we show that our preferred machine learning algorithm outperforms (i) proxy models such as Z-scores and the distance-to-default, (ii) traditional econometric methods, and (iii) other widely used machine learning techniques. We provide evidence that zombies are less productive and smaller on average and that they tend to increase in times of crisis. Finally, we argue that our application can help financial institutions and public authorities design evidence-based policies—e.g., optimal bankruptcy laws and information disclosure policies.","PeriodicalId":48243,"journal":{"name":"Industrial and Corporate Change","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136077348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0