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Implementing corporate digital responsibility (CDR): Tackling wicked problems for the digital era: Pilot study insights 履行企业数字化责任（CDR）：解决数字时代的棘手问题：试点研究的启示
IF 2 4区 管理学
Organizational Dynamics Pub Date : 2024-04-01 DOI: 10.1016/j.orgdyn.2024.101040
Karen Elliott, Jehana Copilah-Ali
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引用次数: 0
“With great power comes great responsibility”: Exploring the role of Corporate Digital Responsibility (CDR) for Artificial Intelligence Responsibility in Retail Service Automation (AIRRSA) "能力越大，责任越大"：探索企业数字责任（CDR）在零售服务自动化人工智能责任（AIRRSA）中的作用
IF 2 4区 管理学
Organizational Dynamics Pub Date : 2024-04-01 DOI: 10.1016/j.orgdyn.2024.101030
Daniele Scarpi , Eleonora Pantano
{"title":"“With great power comes great responsibility”: Exploring the role of Corporate Digital Responsibility (CDR) for Artificial Intelligence Responsibility in Retail Service Automation (AIRRSA)","authors":"Daniele Scarpi ,&nbsp;Eleonora Pantano","doi":"10.1016/j.orgdyn.2024.101030","DOIUrl":"10.1016/j.orgdyn.2024.101030","url":null,"abstract":"<div><p>Scholars conceptualized the role of Corporate Digital Responsibility (CDR) to emphasize the ethical issues unique to the digital context by pushing all the actors involved in developing and integrating digital technologies and related data processing to act ethically and responsibly. However, how to apply AI services more ethically and develop AI equipped with moral/ethical intelligence are still open questions.Accordingly, this paper aims to understand the managerial applications and tools of Corporate Digital Responsibility (CDR) in AI retail service automation to identify the CDR value for consumers and retail managers. We link the five AI intelligence types (verbal-linguistic, logic-mathematical, visual-spatial, social, and speed-processing) to CDR strategies to produce value for retailers and consumers. Specifically, we define intelligent retail service automation, emphasizing actions, tools, and (privacy) concerns, and discuss the role of CDR in AI for intelligent retail service by developing the new concept of Artificial Intelligence Responsibility in Retail Service Automation (AIRRSA). Finally, we provide implications for scholars, managers, and policy-makers while proposing future challenges.</p></div>","PeriodicalId":48061,"journal":{"name":"Organizational Dynamics","volume":"53 2","pages":"Article 101030"},"PeriodicalIF":2.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0090261624000032/pdfft?md5=a8372fb554400aff964152f97237deb9&pid=1-s2.0-S0090261624000032-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139515087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Responsible algorithmic decision-making 负责任的算法决策
IF 2 4区 管理学
Organizational Dynamics Pub Date : 2024-04-01 DOI: 10.1016/j.orgdyn.2024.101031
Christoph F. Breidbach
{"title":"Responsible algorithmic decision-making","authors":"Christoph F. Breidbach","doi":"10.1016/j.orgdyn.2024.101031","DOIUrl":"10.1016/j.orgdyn.2024.101031","url":null,"abstract":"<div><p>Algorithmic decision-making - the use of computational methods that enable machines to automatically complete tasks and/or make decisions - is emerging as a critical source of competitive advantage for organizations. However, despite many benefits, there is an inherent dark side associated with it that can manifest issues ranging from a loss of privacy for individuals to societal power imbalance. Managers and policymakers alike need to be able to understand potentially unethical consequences that can arise from algorithmic decision-making before they can fully manifest. This article aims to support this undertaking by identifying, analysing, and explaining the challenges that can arise from algorithmic decision-making, and by contributing a seven-step roadmap to those wanting to responsibly implement and benefit from algorithms today.</p></div>","PeriodicalId":48061,"journal":{"name":"Organizational Dynamics","volume":"53 2","pages":"Article 101031"},"PeriodicalIF":2.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0090261624000044/pdfft?md5=9e5e1e15c6d1b43fc32cb009c7943091&pid=1-s2.0-S0090261624000044-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139582253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Principles of responsible digital implementation: Developing operational business resilience to reduce resistance to digital innovations 负责任的数字化实施原则：发展业务运营复原力，减少数字创新阻力
IF 2 4区 管理学
Organizational Dynamics Pub Date : 2024-04-01 DOI: 10.1016/j.orgdyn.2024.101043
Zixuan Mia Cheng , Francesca Bonetti , Anouk de Regt , Joel Lo Ribeiro , Kirk Plangger
{"title":"Principles of responsible digital implementation: Developing operational business resilience to reduce resistance to digital innovations","authors":"Zixuan Mia Cheng ,&nbsp;Francesca Bonetti ,&nbsp;Anouk de Regt ,&nbsp;Joel Lo Ribeiro ,&nbsp;Kirk Plangger","doi":"10.1016/j.orgdyn.2024.101043","DOIUrl":"10.1016/j.orgdyn.2024.101043","url":null,"abstract":"<div><p>Organizations are readily implementing innovative technological solutions, including artificial intelligence (AI) and robotics, to remain competitive. However, these implementations often disrupt the existing routines and practices of stakeholders that are critical for organizational performance and success. If stakeholders are not part of the implementation decision process, the technological disruption may induce stakeholder resistance that may potentially lead to organization-wide turbulence. Addressing this scenario, this paper conceptualizes six principles of responsible digital implementations to develop operational resilience facilitated by discursive channels between organizational leadership and stakeholders. We close by outlining an action plan that provides guidance for managers considering implementing digital technologies, as well as suggest some potential fruitful future areas of research.</p></div>","PeriodicalId":48061,"journal":{"name":"Organizational Dynamics","volume":"53 2","pages":"Article 101043"},"PeriodicalIF":2.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0090261624000160/pdfft?md5=6a4a84aaba81d662ff4c494b000babe7&pid=1-s2.0-S0090261624000160-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140091570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Principles for advertising responsibly using generative AI 使用生成式人工智能负责任地发布广告的原则
IF 2 4区 管理学
Organizational Dynamics Pub Date : 2024-04-01 DOI: 10.1016/j.orgdyn.2024.101042
Sean Sands , Colin Campbell , Carla Ferraro , Vlad Demsar , Sara Rosengren , Justine Farrell
{"title":"Principles for advertising responsibly using generative AI","authors":"Sean Sands ,&nbsp;Colin Campbell ,&nbsp;Carla Ferraro ,&nbsp;Vlad Demsar ,&nbsp;Sara Rosengren ,&nbsp;Justine Farrell","doi":"10.1016/j.orgdyn.2024.101042","DOIUrl":"10.1016/j.orgdyn.2024.101042","url":null,"abstract":"","PeriodicalId":48061,"journal":{"name":"Organizational Dynamics","volume":"53 2","pages":"Article 101042"},"PeriodicalIF":2.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0090261624000159/pdfft?md5=808f82d760756e89d79318e19045f629&pid=1-s2.0-S0090261624000159-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140105949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Guidelines for the use of electronic performance monitoring 电子绩效监测使用指南
IF 2 4区 管理学
Organizational Dynamics Pub Date : 2024-01-09 DOI: 10.1016/j.orgdyn.2023.101026
Mauren S. Wolff, Daniel M. Ravid, Tara S. Behrend
{"title":"Guidelines for the use of electronic performance monitoring","authors":"Mauren S. Wolff, Daniel M. Ravid, Tara S. Behrend","doi":"10.1016/j.orgdyn.2023.101026","DOIUrl":"https://doi.org/10.1016/j.orgdyn.2023.101026","url":null,"abstract":"Abstract not available","PeriodicalId":48061,"journal":{"name":"Organizational Dynamics","volume":"23 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139421803","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
Essential elements in evidence-based interventions to improve employee mindfulness 以证据为基础的干预措施的基本要素，以提高员工的思想觉悟
IF 2 4区 管理学
Organizational Dynamics Pub Date : 2024-01-04 DOI: 10.1016/j.orgdyn.2023.101025
Grace Lemmon, Goran Kuljanin, Kevin P. Taylor
{"title":"Essential elements in evidence-based interventions to improve employee mindfulness","authors":"Grace Lemmon, Goran Kuljanin, Kevin P. Taylor","doi":"10.1016/j.orgdyn.2023.101025","DOIUrl":"https://doi.org/10.1016/j.orgdyn.2023.101025","url":null,"abstract":"<p>The use of mindfulness skill promises a bevy of positive outcomes at work, increasing organizational interest in designing interventions for boosting it. To create these interventions, organizations need more information on key elements that support mindfulness and deeper understanding about how each element mechanizes deployment of mindfulness skill. This manuscript addresses these needs. We articulate how the micro mindfulness skills of self-awareness, self-regulation, and self-transcendence (identified as the “S-ART framework” by neuropsychologists) emerge and combine to create a state of mindfulness. We then provide an example to demonstrate how including each of these elements in a mindfulness intervention provides employees with a stepwise self-management technique for better interacting with distressing or uncomfortable cognition. In all, we demonstrate how mindfulness interventions that incorporate self-awareness, self-regulation, and self-transcendence create a more robust state of mindfulness.</p>","PeriodicalId":48061,"journal":{"name":"Organizational Dynamics","volume":"74 2 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139373293","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
Artificial intelligence and performance management 人工智能和绩效管理
IF 2 4区 管理学
Organizational Dynamics Pub Date : 2024-01-01 DOI: 10.1016/j.orgdyn.2024.101037
Arup Varma , Vijay Pereira , Parth Patel
{"title":"Artificial intelligence and performance management","authors":"Arup Varma ,&nbsp;Vijay Pereira ,&nbsp;Parth Patel","doi":"10.1016/j.orgdyn.2024.101037","DOIUrl":"10.1016/j.orgdyn.2024.101037","url":null,"abstract":"<div><p>Artificial Intelligence (AI) enabled tools have increasingly becoming popular in our societies and are increasingly being used by students and practitioners, among others. Within corporations, numerous different applications have been identified where AI-enabled tools have been applied with different levels of success. In this article, we explore the pros and cons of using AI in performance management (PM). We draw upon the practitioner literature to summarize the current status of AI and AI-enabled tools. We also interviewed 8 HR professionals from around the world to learn about their experience(s) with the tools and to gain an insight into the future. In doing so, we explore the various components of performance management systems (PMS) and discuss how each might be impacted by the use of AI. Finally, we discuss the pros and cons of such usage and make recommendations for organizations that are considering using AI or AI enabled tools in their PMSs.</p></div>","PeriodicalId":48061,"journal":{"name":"Organizational Dynamics","volume":"53 1","pages":"Article 101037"},"PeriodicalIF":2.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139817781","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
Artificial intelligence, algorithms, and compensation strategy: Challenges and opportunities 人工智能、算法和薪酬战略：挑战与机遇
IF 2 4区 管理学
Organizational Dynamics Pub Date : 2024-01-01 DOI: 10.1016/j.orgdyn.2024.101039
Janet H. Marler
{"title":"Artificial intelligence, algorithms, and compensation strategy: Challenges and opportunities","authors":"Janet H. Marler","doi":"10.1016/j.orgdyn.2024.101039","DOIUrl":"10.1016/j.orgdyn.2024.101039","url":null,"abstract":"<div><p>Compensation strategy plays a crucial role in attracting, motivating, and retaining strategic human capital. Amping up the advantages of being strategic about compensation are advances in technology such as cloud computing and storage along with digitized big data that make the sheer amount of information available and analyzed electronically, a huge competitive opportunity. The good news is these advances have unleashed a tsunami of technology solutions that promise to solve all compensation challenges. In this paper, I synthesize and summarize the literature on artificial intelligence and compensation management and describe four key challenges that companies face in using AI to manage compensation strategically. The first challenge is when and how to use AI to automate and augment compensation tasks and decisions. The second challenge is how to use AI effectively to improve fairness and equity in compensation practices. The third challenge is explaining how AI recommended changes in compensation practices are derived. The fourth challenge is how to actually be strategic using AI solutions. In describing these four challenges, I identify issues, opportunities, gaps, and current limitations of existing AI applications in supporting the strategic management of compensation in organizations.</p></div>","PeriodicalId":48061,"journal":{"name":"Organizational Dynamics","volume":"53 1","pages":"Article 101039"},"PeriodicalIF":2.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139956646","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
Will artificial intelligence radically change human resource management processes? 人工智能会从根本上改变人力资源管理流程吗？
IF 2 4区 管理学
Organizational Dynamics Pub Date : 2024-01-01 DOI: 10.1016/j.orgdyn.2024.101034
Dianna L. Stone , Kimberly M. Lukaszewski , Richard D. Johnson
{"title":"Will artificial intelligence radically change human resource management processes?","authors":"Dianna L. Stone ,&nbsp;Kimberly M. Lukaszewski ,&nbsp;Richard D. Johnson","doi":"10.1016/j.orgdyn.2024.101034","DOIUrl":"10.1016/j.orgdyn.2024.101034","url":null,"abstract":"<div><p>Today artificial intelligence (AI) is being employed to streamline and transform many business processes including those in human resource management (HR). AI has and will continue to revolutionize the way that organizations attract talented applicants, hire qualified employees, train workers, manage their performance, and develop compensation and reward systems. Many analysts believe AI will help organizations gain a competitive edge in attracting, motivating, and retaining talented employees. These new AI systems have several key benefits including reduced transaction times, decreased costs, improved employee service, and streamlined administrative processes (e.g., screening applications). Despite the growing use of AI in organizations, many managers have indicated that they do not fully understand how AI will transform HR practices. Thus, the primary purpose of this article is to highlight how AI will help organizations modify HR processes and practices so that they can meet their HR goals.</p></div>","PeriodicalId":48061,"journal":{"name":"Organizational Dynamics","volume":"53 1","pages":"Article 101034"},"PeriodicalIF":2.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139877755","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
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