Organizational Dynamics最新文献_第3页

The ethical edge: Understanding corporate digital responsibility in organizations 道德优势：了解企业在组织中的数字责任

IF 2 4区管理学

Organizational Dynamics Pub Date : 2024-04-01 DOI: 10.1016/j.orgdyn.2024.101058

Stefanie Paluch , Valentina Pitardi , Werner H. Kunz

引用次数: 0

The corporate digital responsibility (CDR) calculus: How and why organizations reconcile digital and ethical trade-offs for growth 企业数字责任 (CDR) 计算：企业如何以及为何协调数字与道德之间的权衡，以实现增长

IF 2 4区管理学

Organizational Dynamics Pub Date : 2024-04-01 DOI: 10.1016/j.orgdyn.2024.101056

Nicole Hartley , Werner Kunz , James Tarbit

{"title":"The corporate digital responsibility (CDR) calculus: How and why organizations reconcile digital and ethical trade-offs for growth","authors":"Nicole Hartley , Werner Kunz , James Tarbit","doi":"10.1016/j.orgdyn.2024.101056","DOIUrl":"10.1016/j.orgdyn.2024.101056","url":null,"abstract":"<div><p>In this digital age, organizations are increasingly reliant on technology to drive business growth and innovation. With this reliance, comes an impetus for firms to responsibly and ethically manage their digital assets and data. In response, Corporate Digital Responsibility (CDR) has been espoused as a means by which firms can address the competing demands of digital innovation and transformation and ethical responsibility. Ultimately, good CDR practices have the potential to safeguard not only firms, but the various stakeholders they interact with across their digital ecosystems. However, it is recognized that the resource investment required to do so, can come at a significant cost. The CDR Calculus has been developed to assist organizations in evaluating the risks and benefits associated with digital and data practices and to determine whether they align with the organization’s CDR objectives. This paper provides a roadmap of how firms can take steps to establish a culture of CDR practice in light of these tensions. We also recognize that external regulation is required, if not needed, to enforce and cement positive CDR practices as firms respond to growing digital demands.</p></div>","PeriodicalId":48061,"journal":{"name":"Organizational Dynamics","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0090261624000299/pdfft?md5=184f9cf73761d5861f6b3cb0f06ea8b0&pid=1-s2.0-S0090261624000299-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141054813","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

“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 , 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":null,"pages":null},"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

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

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

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

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 , Francesca Bonetti , Anouk de Regt , Joel Lo Ribeiro , 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":null,"pages":null},"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

Impact of machine learning on personnel selection 机器学习对人员甄选的影响

IF 2 4区管理学

Organizational Dynamics Pub Date : 2024-02-01 DOI: 10.1016/j.orgdyn.2024.101035

Emily D. Campion, MICHAEL A. Campion

引用次数: 0

AI-based tools in selection: Considering the impact on applicants with disabilities 基于人工智能的遴选工具：考虑对残疾申请人的影响

IF 2 4区管理学

Organizational Dynamics Pub Date : 2024-02-01 DOI: 10.1016/j.orgdyn.2024.101036

Sandra L. Fisher, Silvia Bonaccio, Catherine E. Connelly

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 : 2024-02-01 DOI: 10.1016/j.orgdyn.2024.101037

Arup Varma, Vijay Pereira, Parth Patel

引用次数: 0