Technovation最新文献_第5页

Resourcing radical innovation: Leveraging from the mainstream to create the newstream 为激进创新提供资源：利用主流创造新主流

IF 11.1 1区管理学 Q1 ENGINEERING, INDUSTRIAL

Technovation

Pub Date : 2024-11-02 DOI: 10.1016/j.technovation.2024.103126

Mario Sergio Salerno , Ana Paula Paes Leme Barbosa , Tiago Paz Lasmar , Gina Colarelli O'Connor

The literature emphasizes the importance of structural ambidexterity in a company's ability to consistently produce radical innovation (RI). Large companies possess a multitude of resources for product development in their mainstream: laboratories; hardware; software; human competencies; and specialized organizational functions in engineering, marketing, and finance, among others. The potential of these resources is immense, and it is not rational to duplicate them for RI development; it is better to leverage them when necessary for a newstream project. However, prior research has revealed that routine rigidities can pose key obstacles to leveraging resources from the mainstream for the newstream. Such rigidities, if not addressed, can hinder RI. Further, the factors facilitating resource leverage must be better understood. Based on data from over 12 years at a leading global high-tech company, this study focuses on how companies manage to leverage mainstream resources for newstream RI projects. The emergent grounded model contributes by elucidating the enablers and constraints within the mainstream and newstream domains for leveraging mainstream resources into the newstream. Additionally, the study proposes a viable configuration of the innovation management system that effectively eases the systematic leveraging of resources from the mainstream to the newstream.

文献强调了结构灵活性对公司持续产生激进创新（RI）能力的重要性。大公司拥有众多产品开发的主流资源：实验室、硬件、软件、人才能力以及工程、营销和财务等专业组织职能。这些资源的潜力是巨大的，重复利用这些资源进行 RI 开发是不合理的，最好是在必要时将其用于新项目。然而，以往的研究表明，常规的僵化做法可能会成为利用主流资源促进新主流项目的主要障碍。如果不解决这些僵化问题，就会阻碍区域一体化进程。此外，必须更好地了解促进资源杠杆作用的因素。本研究以一家全球领先的高科技公司 12 年来的数据为基础，重点研究公司如何利用主流资源开展新流程 RI 项目。该新兴基础模型阐明了将主流资源利用到新领域的主流和新领域中的促进因素和限制因素。此外，该研究还提出了一种可行的创新管理系统配置，可有效缓解从主流资源到新资源的系统性杠杆作用。

{"title":"Resourcing radical innovation: Leveraging from the mainstream to create the newstream","authors":"Mario Sergio Salerno , Ana Paula Paes Leme Barbosa , Tiago Paz Lasmar , Gina Colarelli O'Connor","doi":"10.1016/j.technovation.2024.103126","DOIUrl":"10.1016/j.technovation.2024.103126","url":null,"abstract":"<div><div>The literature emphasizes the importance of structural ambidexterity in a company's ability to consistently produce radical innovation (RI). Large companies possess a multitude of resources for product development in their mainstream: laboratories; hardware; software; human competencies; and specialized organizational functions in engineering, marketing, and finance, among others. The potential of these resources is immense, and it is not rational to duplicate them for RI development; it is better to leverage them when necessary for a newstream project. However, prior research has revealed that routine rigidities can pose key obstacles to leveraging resources from the mainstream for the newstream. Such rigidities, if not addressed, can hinder RI. Further, the factors facilitating resource leverage must be better understood. Based on data from over 12 years at a leading global high-tech company, this study focuses on how companies manage to leverage mainstream resources for newstream RI projects. The emergent grounded model contributes by elucidating the enablers and constraints within the mainstream and newstream domains for leveraging mainstream resources into the newstream. Additionally, the study proposes a viable configuration of the innovation management system that effectively eases the systematic leveraging of resources from the mainstream to the newstream.</div></div>","PeriodicalId":49444,"journal":{"name":"Technovation","volume":"139 ","pages":"Article 103126"},"PeriodicalIF":11.1,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142573148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

In-between identity work: Transcending boundaries in university-industry collaboration 夹缝中的身份工作：在产学合作中超越界限

IF 11.1 1区管理学 Q1 ENGINEERING, INDUSTRIAL

Technovation

Pub Date : 2024-10-31 DOI: 10.1016/j.technovation.2024.103128

Susanne Ollila

Scholarly literature has scarcely addressed the intricacies surrounding individual work identity and its ramifications within the context of university-industry collaboration (UIC). In an endeavour to address this lacuna and enhance our comprehension, this study explicates how individuals engaging in UIC experience identity struggles and perform identity work by constructing and reconstructing their self-conception and the notion of what they can do. A single case study, of a research centre situated in Northern Europe with prolonged collaborative effort, was used as the methodological approach. The findings proffer insights into micro-foundations of UIC by outlining various ways individuals conduct identity work to navigate and bridge cognitive and behavioural boundaries. This knowledge disputes the prevailing view that UIC related identity tensions and struggles should be resolved at the organizational level. Instead, identity work is shown to be crucial in harnessing these struggles to support the knowledge exchange and creation, necessary for innovation. An emergent model of in-between identity work is generated demonstrating how individuals perform identity work at the intersection of organizational boundaries allowing them to embody both collective and individual identities, fostering belonging while preserving the cognitive and institutional variety.

学术文献很少涉及个人工作身份的复杂性及其在产学合作（UIC）背景下的影响。为了弥补这一空白并提高我们的理解能力，本研究阐述了参与产学合作的个人是如何通过构建和重构自我概念以及他们所能做的事情的概念来经历身份认同的斗争并开展身份认同工作的。本研究采用了单一案例研究的方法，研究对象是位于北欧的一个长期合作的研究中心。研究结果概述了个人开展身份认同工作的各种方式，以驾驭和弥合认知与行为界限，从而对统一信息和通信技术的微观基础提出了见解。这些知识对与 UIC 相关的身份紧张和斗争应在组织层面解决的普遍观点提出了质疑。相反，身份认同工作在利用这些斗争支持知识交流和创造方面至关重要，而知识交流和创造是创新所必需的。一种新出现的介于两者之间的身份认同工作模式显示了个人如何在组织边界的交叉点开展身份认同工作，使他们能够体现集体和个人身份，在保持认知和制度多样性的同时促进归属感。

{"title":"In-between identity work: Transcending boundaries in university-industry collaboration","authors":"Susanne Ollila","doi":"10.1016/j.technovation.2024.103128","DOIUrl":"10.1016/j.technovation.2024.103128","url":null,"abstract":"<div><div>Scholarly literature has scarcely addressed the intricacies surrounding individual work identity and its ramifications within the context of university-industry collaboration (UIC). In an endeavour to address this lacuna and enhance our comprehension, this study explicates how individuals engaging in UIC experience identity struggles and perform identity work by constructing and reconstructing their self-conception and the notion of what they can do. A single case study, of a research centre situated in Northern Europe with prolonged collaborative effort, was used as the methodological approach. The findings proffer insights into micro-foundations of UIC by outlining various ways individuals conduct identity work to navigate and bridge cognitive and behavioural boundaries. This knowledge disputes the prevailing view that UIC related identity tensions and struggles should be resolved at the organizational level. Instead, identity work is shown to be crucial in harnessing these struggles to support the knowledge exchange and creation, necessary for innovation. An emergent model of in-between identity work is generated demonstrating how individuals perform identity work at the intersection of organizational boundaries allowing them to embody both collective and individual identities, fostering belonging while preserving the cognitive and institutional variety.</div></div>","PeriodicalId":49444,"journal":{"name":"Technovation","volume":"139 ","pages":"Article 103128"},"PeriodicalIF":11.1,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142560939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

The holistic role of multi-level government in transformative innovation process: Theoretical framework and evidence from China 多级政府在转型创新过程中的整体作用：中国的理论框架与证据

IF 11.1 1区管理学 Q1 ENGINEERING, INDUSTRIAL

Technovation

Pub Date : 2024-10-24 DOI: 10.1016/j.technovation.2024.103122

Kaihua Chen , Zehua Xue , Rui Guo , Lutao Ning

The lack of social impetus for transformative innovation foregrounds a more directional role for the government. However, there is limited exploration on how the government can orchestrate innovation process to promote transformative innovation. We address this gap by constructing a three-dimensional analytical framework that reflects the holistic role combinations of multi-level government across the multi-stage transformative innovation processes. Drawing on institutional theory and related research, this study conceptualizes eight critical roles of the government: planning, coordinating, allocating, investing, providing, regulating, evaluating, and publicizing in transformative innovation. By examining a recent policy experiment case of Sustainable Development Agenda Innovation Demonstration Zones in China, this study differentiates the distinct emphases of government roles across four stages of the transformative innovation process. Thus, we reveal the governance capabilities of the government throughout the innovation process to facilitate transformative innovation. Finally, we uncover the heterogeneity of preferences among central, provincial, and municipal governments and find that these multi-level governance actors have differentiated but synergistic roles given the distinct characteristics of various stages of the transformative innovation process. These governments must collaboratively utilize diverse policy instruments to maximize their roles within the scope of their administrative authority. The results suggest that policies should be holistic across the multi-stage transformative innovation processes and multi-level governments.

转型创新缺乏社会推动力，这就要求政府发挥更具指导性的作用。然而，关于政府如何协调创新过程以促进转型创新的探索却十分有限。针对这一空白，我们构建了一个三维分析框架，以反映多级政府在多阶段转型创新过程中的整体角色组合。本研究借鉴制度理论和相关研究，将政府在转型创新中的八个关键角色概念化：规划、协调、分配、投资、提供、监管、评估和宣传。通过对中国可持续发展议程创新示范区这一最新政策实验案例的研究，本研究区分了政府角色在转型创新过程四个阶段中的不同侧重点。因此，我们揭示了政府在整个创新过程中促进转型创新的治理能力。最后，我们揭示了中央政府、省级政府和市级政府之间偏好的异质性，并发现鉴于转型创新过程各个阶段的不同特点，这些多层次的治理行为体发挥着不同但协同的作用。这些政府必须协同利用各种政策工具，在其行政权力范围内发挥最大作用。研究结果表明，在多阶段转型创新过程和多级政府中，政策应具有整体性。

{"title":"The holistic role of multi-level government in transformative innovation process: Theoretical framework and evidence from China","authors":"Kaihua Chen , Zehua Xue , Rui Guo , Lutao Ning","doi":"10.1016/j.technovation.2024.103122","DOIUrl":"10.1016/j.technovation.2024.103122","url":null,"abstract":"<div><div>The lack of social impetus for transformative innovation foregrounds a more directional role for the government. However, there is limited exploration on how the government can orchestrate innovation process to promote transformative innovation. We address this gap by constructing a three-dimensional analytical framework that reflects the holistic role combinations of multi-level government across the multi-stage transformative innovation processes. Drawing on institutional theory and related research, this study conceptualizes eight critical roles of the government: planning, coordinating, allocating, investing, providing, regulating, evaluating, and publicizing in transformative innovation. By examining a recent policy experiment case of Sustainable Development Agenda Innovation Demonstration Zones in China, this study differentiates the distinct emphases of government roles across four stages of the transformative innovation process. Thus, we reveal the governance capabilities of the government throughout the innovation process to facilitate transformative innovation. Finally, we uncover the heterogeneity of preferences among central, provincial, and municipal governments and find that these multi-level governance actors have differentiated but synergistic roles given the distinct characteristics of various stages of the transformative innovation process. These governments must collaboratively utilize diverse policy instruments to maximize their roles within the scope of their administrative authority. The results suggest that policies should be holistic across the multi-stage transformative innovation processes and multi-level governments.</div></div>","PeriodicalId":49444,"journal":{"name":"Technovation","volume":"139 ","pages":"Article 103122"},"PeriodicalIF":11.1,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142534517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Research on evaluation of knowledge interaction indicators in multi-team systems based on management entropy 基于管理熵的多团队系统知识交互指标评价研究

IF 11.1 1区管理学 Q1 ENGINEERING, INDUSTRIAL

Technovation

Pub Date : 2024-10-19 DOI: 10.1016/j.technovation.2024.103125

Hui Xie , Hao Li , Kexin Zhang

Efficient knowledge interaction among teams can enhance the collaborative performance of Multi-team Systems (MTSs). Identifying and addressing issues within MTS knowledge interaction is a current topic in knowledge-driven MTS collaboration. However, there is a lack of scientific and measurable evaluation indicators and methods for effectively evaluating MTS knowledge interactions to aid decision-making. This study, integrating a network perspective with complex systems thinking and the theoretical principles of management entropy, constructs a systematic evaluation system for MTS knowledge and a corresponding methodological framework. Validated and analyzed through two case studies in diverse contexts, this system and method enable managers to pinpoint crucial indicators affecting the effectiveness of MTS knowledge at various stages, especially critical junctures that may arise during the evolving development of the MTS. This provides a basis for decision-making to enable timely managerial interventions at crucial moments.

团队间高效的知识互动可以提高多团队系统（MTS）的协作绩效。识别和解决多团队系统知识互动中的问题是当前知识驱动多团队系统协作的一个主题。然而，目前还缺乏科学的、可衡量的评价指标和方法来有效评价多团队系统的知识互动，以帮助决策。本研究将网络视角与复杂系统思维和管理熵理论原则相结合，构建了多边贸易体制知识的系统评价体系和相应的方法框架。通过在不同背景下进行的两个案例研究的验证和分析，该系统和方法使管理人员能够在不同阶段，特别是在多边贸易体制不断发展过程中可能出现的关键时刻，准确定位影响多边贸易体制知识有效性的关键指标。这为决策提供了依据，以便在关键时刻进行及时的管理干预。

引用次数: 0

How could Generative AI support and add value to non-technology companies – A qualitative study 生成式人工智能如何支持非技术公司并为其增值--一项定性研究

IF 11.1 1区管理学 Q1 ENGINEERING, INDUSTRIAL

Technovation

Pub Date : 2024-10-19 DOI: 10.1016/j.technovation.2024.103124

Sachin Modgil , Shivam Gupta , Arpan Kumar Kar , Tuure Tuunanen

With the spread of generative AI, non-technology companies are also adopting it at a faster rate. Therefore, this study aims to study the appropriation of Generative AI to create value to non-technology businesses through a knowledge based view of the firm. To achieve this objective, we followed a semi-structured interview schedule, where 98 qualitative data points were collected and analysed. We follow open, axial and selective coding along with Gioia methodology for analysis. Findings indicate that companies employ Generative AI for risk management, where potential threats, impact of possible hazards and degree of uncertainty in the business environment are considered in decision-making. Generative AI also helps in knowledge integration, where assimilation, adaptation, application and implementation are achieved. Findings also suggest that an improved business outlook can be achieved regarding accurate demand forecasting, real-time insights, contextual understanding and alignment to the vision through Generative AI. It is also observed that companies are investing in Generative AI to achieve competitive advantage and greater significance. The contribution of this study lies in the development of four propositions and a framework for generative AI-driven value for non-technology companies. The framework also uncovers the internal flow among key elements from risk identification to integration to developing the outlook and driving utility.

随着生成式人工智能的普及，非技术企业也在以更快的速度采用它。因此，本研究旨在通过基于知识的企业视角，研究如何利用生成式人工智能为非技术企业创造价值。为实现这一目标，我们采用了半结构式访谈方法，收集并分析了 98 个定性数据点。我们采用开放式、轴向和选择性编码以及 Gioia 方法进行分析。研究结果表明，企业采用生成式人工智能进行风险管理，在决策中考虑潜在威胁、可能发生的危险的影响以及商业环境的不确定性程度。生成式人工智能还有助于知识整合，实现同化、适应、应用和实施。研究结果还表明，通过生成式人工智能，可以在准确的需求预测、实时洞察、背景理解和与愿景保持一致等方面改善业务前景。研究还发现，企业正在投资生成式人工智能，以实现竞争优势和更大的意义。本研究的贡献在于为非技术公司开发了四个命题和一个生成式人工智能驱动价值的框架。该框架还揭示了从风险识别到整合，再到发展前景和驱动效用等关键要素之间的内部流程。

{"title":"How could Generative AI support and add value to non-technology companies – A qualitative study","authors":"Sachin Modgil , Shivam Gupta , Arpan Kumar Kar , Tuure Tuunanen","doi":"10.1016/j.technovation.2024.103124","DOIUrl":"10.1016/j.technovation.2024.103124","url":null,"abstract":"<div><div>With the spread of generative AI, non-technology companies are also adopting it at a faster rate. Therefore, this study aims to study the appropriation of Generative AI to create value to non-technology businesses through a knowledge based view of the firm. To achieve this objective, we followed a semi-structured interview schedule, where 98 qualitative data points were collected and analysed. We follow open, axial and selective coding along with Gioia methodology for analysis. Findings indicate that companies employ Generative AI for risk management, where potential threats, impact of possible hazards and degree of uncertainty in the business environment are considered in decision-making. Generative AI also helps in knowledge integration, where assimilation, adaptation, application and implementation are achieved. Findings also suggest that an improved business outlook can be achieved regarding accurate demand forecasting, real-time insights, contextual understanding and alignment to the vision through Generative AI. It is also observed that companies are investing in Generative AI to achieve competitive advantage and greater significance. The contribution of this study lies in the development of four propositions and a framework for generative AI-driven value for non-technology companies. The framework also uncovers the internal flow among key elements from risk identification to integration to developing the outlook and driving utility.</div></div>","PeriodicalId":49444,"journal":{"name":"Technovation","volume":"139 ","pages":"Article 103124"},"PeriodicalIF":11.1,"publicationDate":"2024-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142534518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Revolution or inflated expectations? Exploring the impact of generative AI on ideation in a practical sustainability context 革命还是期望过高？探索生成式人工智能在实际可持续发展背景下对构思的影响

IF 11.1 1区管理学 Q1 ENGINEERING, INDUSTRIAL

Technovation

Pub Date : 2024-10-17 DOI: 10.1016/j.technovation.2024.103123

Anja Eisenreich , Julian Just , Daniela Gimenez-Jimenez , Johann Füller

The integration of generative AI (GenAI) into corporate innovation processes represents a significant shift in ideation methodologies. This study examines the comparative effectiveness of AI-generated ideation and traditional expert workshops. In collaboration with BSH Home Appliances Group (BSH), ideas were generated and evaluated using both expert-based and AI-based methods in the context of sustainable packaging. The main quantitative analysis focuses on the quality dimensions of novelty, value, and feasibility. The results indicate that GenAI models such as ChatGPT not only match, but also occasionally outperform, those generated by expert sessions in terms of generating highly novel ideas. However, this increased novelty comes with a trade-off in perceived feasibility, highlighting a critical balance that must be managed in innovation efforts. A complementary qualitative analysis provides insights into potential barriers to integrating AI into ideation at the personal and organizational levels. Depending on the innovation setting, AI-based idea stimulation may limit the creativity and motivation of experts. Therefore, the form of AI integration should be adapted to the company's innovation context and should contribute to organizational learning. On the basis of these findings, guidelines are provided on how to effectively apply, and benefit from the use of, AI as a non-human intermediary to enhance the ideation process.

将人工智能生成技术（GenAI）融入企业创新流程代表着构思方法的重大转变。本研究探讨了人工智能生成式构思与传统专家研讨会的比较效果。通过与 BSH 家电集团（BSH）合作，以可持续包装为背景，使用基于专家和基于人工智能的方法生成并评估了创意。主要的定量分析侧重于新颖性、价值和可行性等质量维度。结果表明，ChatGPT 等 GenAI 模型在产生高度新颖的想法方面不仅能与专家会议产生的想法相媲美，有时甚至还优于专家会议产生的想法。然而，这种新颖性的提高伴随着可感知可行性的降低，突出了创新工作中必须把握的关键平衡。一项补充性定性分析深入揭示了在个人和组织层面将人工智能融入构思的潜在障碍。根据创新环境的不同，基于人工智能的创意激发可能会限制专家的创造力和积极性。因此，人工智能的整合形式应适应公司的创新环境，并应有助于组织学习。在这些研究结果的基础上，本文就如何有效应用人工智能作为非人类中介来加强构思过程并从中获益提供了指导。

{"title":"Revolution or inflated expectations? Exploring the impact of generative AI on ideation in a practical sustainability context","authors":"Anja Eisenreich , Julian Just , Daniela Gimenez-Jimenez , Johann Füller","doi":"10.1016/j.technovation.2024.103123","DOIUrl":"10.1016/j.technovation.2024.103123","url":null,"abstract":"<div><div>The integration of generative AI (GenAI) into corporate innovation processes represents a significant shift in ideation methodologies. This study examines the comparative effectiveness of AI-generated ideation and traditional expert workshops. In collaboration with BSH Home Appliances Group (BSH), ideas were generated and evaluated using both expert-based and AI-based methods in the context of sustainable packaging. The main quantitative analysis focuses on the quality dimensions of novelty, value, and feasibility. The results indicate that GenAI models such as ChatGPT not only match, but also occasionally outperform, those generated by expert sessions in terms of generating highly novel ideas. However, this increased novelty comes with a trade-off in perceived feasibility, highlighting a critical balance that must be managed in innovation efforts. A complementary qualitative analysis provides insights into potential barriers to integrating AI into ideation at the personal and organizational levels. Depending on the innovation setting, AI-based idea stimulation may limit the creativity and motivation of experts. Therefore, the form of AI integration should be adapted to the company's innovation context and should contribute to organizational learning. On the basis of these findings, guidelines are provided on how to effectively apply, and benefit from the use of, AI as a non-human intermediary to enhance the ideation process.</div></div>","PeriodicalId":49444,"journal":{"name":"Technovation","volume":"138 ","pages":"Article 103123"},"PeriodicalIF":11.1,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142445325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Beyond economic convenience: Unveiling the motives for engaging in food sharing initiatives 超越经济便利：揭示参与食物共享行动的动机

IF 11.1 1区管理学 Q1 ENGINEERING, INDUSTRIAL

Technovation

Pub Date : 2024-10-16 DOI: 10.1016/j.technovation.2024.103119

Jessica Bosisio , Gioele Zamparo , Alice Mazzucchelli , Roberto Chierici , Michela Cesarina Mason

Food waste is a major global problem nowadays because it negatively affects the environment, society, and the economy. Food sharing has lately emerged as an innovative solution to this problem, but little is known about the behavioral intentions of consumers with regard to food sharing initiatives. In this study, we use the theory of consumption values along with a mixed methods approach to analyze the key motives underlying consumers' intentions for using food sharing platforms. We develop a conceptual model to this end, and collect, analyze, and triangulate data to test it by using both a qualitative and a quantitative approach. The results highlight the relevance of epistemic, conditional, and social values in a communitarian sense in driving people's engagement in food sharing. Functional values were found to have a secondary importance for both users and non-users in this regard. A comparison between users and non-users also revealed that emotional values constitute an important factor for the latter. The study contributes to both theory and practice by highlighting the importance of such initiatives in addressing not only environmental issues, but also social needs, and hence contributing to the sustainable development of local communities.

食物浪费是当今一个重大的全球性问题，因为它会对环境、社会和经济产生负面影响。近来，食物共享已成为解决这一问题的创新方案，但人们对消费者使用食物共享的行为意向却知之甚少。在本研究中，我们运用消费价值观理论和混合方法，分析了消费者使用食品共享平台的主要动机。为此，我们建立了一个概念模型，并通过定性和定量方法收集、分析和三角测量数据，以检验该模型。研究结果凸显了认识价值、条件价值和社群意义上的社会价值在推动人们参与食物分享方面的相关性。在这方面，功能价值对使用者和非使用者来说都是次要的。对使用者和非使用者进行比较后还发现，情感价值观是后者的一个重要因素。本研究强调了此类倡议在解决环境问题和社会需求方面的重要性，从而有助于当地社区的可持续发展，对理论和实践都有所贡献。

{"title":"Beyond economic convenience: Unveiling the motives for engaging in food sharing initiatives","authors":"Jessica Bosisio , Gioele Zamparo , Alice Mazzucchelli , Roberto Chierici , Michela Cesarina Mason","doi":"10.1016/j.technovation.2024.103119","DOIUrl":"10.1016/j.technovation.2024.103119","url":null,"abstract":"<div><div>Food waste is a major global problem nowadays because it negatively affects the environment, society, and the economy. Food sharing has lately emerged as an innovative solution to this problem, but little is known about the behavioral intentions of consumers with regard to food sharing initiatives. In this study, we use the theory of consumption values along with a mixed methods approach to analyze the key motives underlying consumers' intentions for using food sharing platforms. We develop a conceptual model to this end, and collect, analyze, and triangulate data to test it by using both a qualitative and a quantitative approach. The results highlight the relevance of epistemic, conditional, and social values in a communitarian sense in driving people's engagement in food sharing. Functional values were found to have a secondary importance for both users and non-users in this regard. A comparison between users and non-users also revealed that emotional values constitute an important factor for the latter. The study contributes to both theory and practice by highlighting the importance of such initiatives in addressing not only environmental issues, but also social needs, and hence contributing to the sustainable development of local communities.</div></div>","PeriodicalId":49444,"journal":{"name":"Technovation","volume":"138 ","pages":"Article 103119"},"PeriodicalIF":11.1,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142441259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Addressing discriminatory bias in artificial intelligence systems operated by companies: An analysis of end-user perspectives 解决公司运营的人工智能系统中的歧视性偏见：对最终用户观点的分析

IF 11.1 1区管理学 Q1 ENGINEERING, INDUSTRIAL

Technovation

Pub Date : 2024-10-15 DOI: 10.1016/j.technovation.2024.103118

Rafael Lucas Borba , Iuri Emmanuel de Paula Ferreira , Paulo Henrique Bertucci Ramos

The use of AI in different applications for different purposes has raised concerns due to discriminatory biases that have been identified in the technology. This paper aims to identify and analyze some of the main measures proposed by Bill No. 2338/23 of the Federative Republic of Brazil to combat discriminatory bias that companies should adopt to provide and/or operate fair and non-discriminatory AIs. To do so, it will first attempt to measure and analyze people's perceptions of the possibility that AI systems are discriminatory. For this a qualitative descriptive exploratory was made using as a reference sample the inhabitants of the Southeast region of Brasil. The survey results suggest that people are more aware that AIs are not neutral and that they may come to incorporate and reproduce prejudices and discriminations present in society. The incorporation of such biases is the result of issues related to the quality and diversity of the data used, inaccuracies in the algorithms employed, and biases on the part of both developers and operators. Thus, this work sought to reduce this gap and at the same time break the barrier of the lack of dialogue with the public in order to contribute to a democratic debate with society.

人工智能在不同应用领域的不同用途引起了人们的关注，原因是在该技术中发现了歧视性偏见。本文旨在确定和分析巴西联邦共和国第 2338/23 号法案提出的一些主要措施，以打击歧视性偏见，公司应采取这些措施来提供和/或运行公平和非歧视性的人工智能。为此，本报告将首先尝试衡量和分析人们对人工智能系统可能具有歧视性的看法。为此，我们以巴西东南部地区的居民为参考样本，进行了定性描述探索。调查结果表明，人们更加意识到人工智能并非中立，它们可能会吸收和复制社会中存在的偏见和歧视。造成这种偏见的原因包括所使用数据的质量和多样性、所使用算法的不准确性以及开发人员和操作人员的偏见。因此，这项工作试图缩小这一差距，同时打破与公众缺乏对话的障碍，以促进与社会的民主辩论。

{"title":"Addressing discriminatory bias in artificial intelligence systems operated by companies: An analysis of end-user perspectives","authors":"Rafael Lucas Borba , Iuri Emmanuel de Paula Ferreira , Paulo Henrique Bertucci Ramos","doi":"10.1016/j.technovation.2024.103118","DOIUrl":"10.1016/j.technovation.2024.103118","url":null,"abstract":"<div><div>The use of AI in different applications for different purposes has raised concerns due to discriminatory biases that have been identified in the technology. This paper aims to identify and analyze some of the main measures proposed by Bill No. 2338/23 of the Federative Republic of Brazil to combat discriminatory bias that companies should adopt to provide and/or operate fair and non-discriminatory AIs. To do so, it will first attempt to measure and analyze people's perceptions of the possibility that AI systems are discriminatory. For this a qualitative descriptive exploratory was made using as a reference sample the inhabitants of the Southeast region of Brasil. The survey results suggest that people are more aware that AIs are not neutral and that they may come to incorporate and reproduce prejudices and discriminations present in society. The incorporation of such biases is the result of issues related to the quality and diversity of the data used, inaccuracies in the algorithms employed, and biases on the part of both developers and operators. Thus, this work sought to reduce this gap and at the same time break the barrier of the lack of dialogue with the public in order to contribute to a democratic debate with society.</div></div>","PeriodicalId":49444,"journal":{"name":"Technovation","volume":"138 ","pages":"Article 103118"},"PeriodicalIF":11.1,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142441260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Developing industrial AI capabilities: An organisational learning perspective 发展工业人工智能能力：组织学习视角

IF 11.1 1区管理学 Q1 ENGINEERING, INDUSTRIAL

Technovation

Pub Date : 2024-10-15 DOI: 10.1016/j.technovation.2024.103120

Paavo Ritala , Päivi Aaltonen , Mika Ruokonen , Andre Nemeh

Incumbent industrial firms are putting in a lot of effort in developing capabilities for machine learning (ML) systems that help them better predict and perform a variety of industrial and business processes and decisions. Given the data-, process-, and organizational structure-related requirements for effective implementation of such systems, these organizations encounter a major challenge in developing capabilities in this context. However, the existing literature has yet to unravel the organizational processes and practices associated with artificial intelligence (AI) capability development and deployment in industrial incumbent firms. The present study frames AI adoption in established industrial firms as a process of history-embedded, situated organizational learning involving explorative and exploitative learning. Based on a qualitative study of seven firms utilizing ML algorithms in their industrial and business processes, we develop a grounded model that explains AI capability building as both enabled and constrained by perceptual and functional triggers and barriers, leveraged via communicative and structural practices, and resulting in ongoing and interdependent processes of exploration and exploitation. The study contributes to the literature by showing how the convergence of organizational learning and AI technology's unique features promotes a distinct dynamic of AI capability building and deployment.

现有的工业企业正在花大力气开发机器学习（ML）系统的能力，以帮助它们更好地预测和执行各种工业和业务流程及决策。鉴于有效实施此类系统需要满足与数据、流程和组织结构相关的要求，这些组织在开发这方面的能力时遇到了重大挑战。然而，现有文献尚未揭示工业现有企业中与人工智能（AI）能力开发和部署相关的组织流程和实践。本研究将老牌工业企业采用人工智能的过程视为一个历史嵌入式、情景化的组织学习过程，其中涉及探索性学习和利用性学习。基于对七家在其工业和业务流程中使用人工智能算法的公司进行的定性研究，我们建立了一个基础模型，解释了人工智能能力建设既受感知和功能触发因素及障碍的影响，又受其制约，通过沟通和结构实践加以利用，并导致持续和相互依存的探索和利用过程。本研究通过展示组织学习与人工智能技术独特功能的融合如何促进人工智能能力建设和部署的独特动态，为相关文献做出了贡献。

{"title":"Developing industrial AI capabilities: An organisational learning perspective","authors":"Paavo Ritala , Päivi Aaltonen , Mika Ruokonen , Andre Nemeh","doi":"10.1016/j.technovation.2024.103120","DOIUrl":"10.1016/j.technovation.2024.103120","url":null,"abstract":"<div><div>Incumbent industrial firms are putting in a lot of effort in developing capabilities for machine learning (ML) systems that help them better predict and perform a variety of industrial and business processes and decisions. Given the data-, process-, and organizational structure-related requirements for effective implementation of such systems, these organizations encounter a major challenge in developing capabilities in this context. However, the existing literature has yet to unravel the organizational processes and practices associated with artificial intelligence (AI) capability development and deployment in industrial incumbent firms. The present study frames AI adoption in established industrial firms as a process of history-embedded, situated organizational learning involving explorative and exploitative learning. Based on a qualitative study of seven firms utilizing ML algorithms in their industrial and business processes, we develop a grounded model that explains AI capability building as both enabled and constrained by perceptual and functional triggers and barriers, leveraged via communicative and structural practices, and resulting in ongoing and interdependent processes of exploration and exploitation. The study contributes to the literature by showing how the convergence of organizational learning and AI technology's unique features promotes a distinct dynamic of AI capability building and deployment.</div></div>","PeriodicalId":49444,"journal":{"name":"Technovation","volume":"138 ","pages":"Article 103120"},"PeriodicalIF":11.1,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142437727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

The more, the merrier or the less is more? The role of firm capabilities and industry in the knowledge spillover of innovation 越多越好还是越少越好？企业能力和行业在创新知识溢出中的作用

IF 11.1 1区管理学 Q1 ENGINEERING, INDUSTRIAL

Technovation

Pub Date : 2024-10-12 DOI: 10.1016/j.technovation.2024.103115

David Bruce Audretsch , Maksim Belitski , Anna Spadavecchia , Shaker A. Zahra

This study advances our understanding of the complementary and substitute relationships between investment in firm capabilities and two types of knowledge spillovers. We use three matched databases of 15,259 most innovative firms in the United Kingdom (UK) during 2002–2014 to demonstrate the joint effect of knowledge spillovers within and between industries and firm capabilities on firm innovation. This study furthers our understanding in three significant ways. First, it supports the dual nature of the R&D story. Secondly, it demonstrates that the relationship between knowledge spillovers and firm innovation is nuanced and depends on the extent to which a firm decides to invest in internal R&D, leading to either a substitution or complementarity effect between R&D and a type of knowledge spillover. Thirdly, the relationship may be different across industries. While all industries benefit from investment in internal R&D and spillovers, the creative industry does not experience the substitution effect, and knowledge-intensive business services exhibit both substitution and complementarity effects, which are accelerated by internal investment in R&D.

本研究加深了我们对企业能力投资与两类知识外溢之间的互补和替代关系的理解。我们利用 2002-2014 年间英国 15,259 家最具创新性企业的三个匹配数据库，证明了行业内和行业间的知识外溢与企业能力对企业创新的共同影响。这项研究从三个重要方面加深了我们的理解。首先，它支持研发故事的双重性质。其次，它证明了知识外溢与企业创新之间的关系是微妙的，取决于企业决定投资于内部研发的程度，从而导致研发与某类知识外溢之间的替代或互补效应。第三，不同行业之间的关系可能不同。虽然所有行业都能从内部研发投资和溢出效应中获益，但创意产业不会出现替代效应，而知识密集型商业服务业则同时表现出替代效应和互补效应，内部研发投资会加速这种效应。

{"title":"The more, the merrier or the less is more? The role of firm capabilities and industry in the knowledge spillover of innovation","authors":"David Bruce Audretsch , Maksim Belitski , Anna Spadavecchia , Shaker A. Zahra","doi":"10.1016/j.technovation.2024.103115","DOIUrl":"10.1016/j.technovation.2024.103115","url":null,"abstract":"<div><div>This study advances our understanding of the complementary and substitute relationships between investment in firm capabilities and two types of knowledge spillovers. We use three matched databases of 15,259 most innovative firms in the United Kingdom (UK) during 2002–2014 to demonstrate the joint effect of knowledge spillovers within and between industries and firm capabilities on firm innovation. This study furthers our understanding in three significant ways. First, it supports the dual nature of the R&D story. Secondly, it demonstrates that the relationship between knowledge spillovers and firm innovation is nuanced and depends on the extent to which a firm decides to invest in internal R&D, leading to either a substitution or complementarity effect between R&D and a type of knowledge spillover. Thirdly, the relationship may be different across industries. While all industries benefit from investment in internal R&D and spillovers, the creative industry does not experience the substitution effect, and knowledge-intensive business services exhibit both substitution and complementarity effects, which are accelerated by internal investment in R&D.</div></div>","PeriodicalId":49444,"journal":{"name":"Technovation","volume":"138 ","pages":"Article 103115"},"PeriodicalIF":11.1,"publicationDate":"2024-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142417564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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