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Leveraging temporary teams for international opportunity creation on digital platforms 利用临时团队在数字平台上创造国际机会
IF 5.7 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-01-06 DOI: 10.1016/j.infoandorg.2024.100554
Kateryna Kryzhanivska, Teemu Tuomisalo, Kirsimarja Blomqvist, Olli Kuivalainen
Companies worldwide increasingly leverage digital platforms to sell, innovate, and collaborate. Despite the global pool of resources available on digital platforms and the known benefits of information, knowledge, and networking, the international entrepreneurship literature has accorded limited attention to the role of time, temporality, and digital context in international opportunity creation. Drawing on action research from a longitudinal case study, we investigate how digital international opportunity (IO) creation unfolds on an online community platform engaging relevant knowledgeable experts. We explore the early stage of internationalization of a Finnish startup with innovative technology searching for ways to access international markets during the global outbreak of the COVID-19 pandemic. Based on this research we present a two-cycle process model explaining how IO creation occurs in a digital context and a short period of time. We show how a set of actions and their related mechanisms enable IO creation through digital platforms. Our study advances understandings of IO creation and role of digital platforms in international entrepreneurship by illuminating how early internationalizing firms engage in the creation of international opportunities online.
世界各地的公司越来越多地利用数字平台进行销售、创新和合作。尽管数字平台上的全球资源库以及信息、知识和网络的已知好处,但国际创业文献对时间、时间性和数字背景在国际机会创造中的作用给予了有限的关注。通过纵向案例研究中的行动研究,我们调查了数字国际机会(IO)创造如何在一个有相关知识专家参与的在线社区平台上展开。我们探讨了一家芬兰初创公司在全球新冠肺炎疫情爆发期间寻求进入国际市场的创新技术的国际化早期阶段。基于这项研究,我们提出了一个双周期过程模型,解释了IO创建如何在数字环境和短时间内发生。我们展示了一组操作及其相关机制如何通过数字平台实现IO创建。我们的研究通过阐明早期国际化公司如何参与在线国际机会的创造,促进了对国际创业中IO创造和数字平台作用的理解。
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引用次数: 0
Agency 机构
IF 5.7 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2024-12-31 DOI: 10.1016/j.infoandorg.2024.100553
Theodore R. Schatzki
This essay urges researchers to respect differences among the agencies of different kinds of entities as well as among types of “distributed agency” understood as the agentic character of combinations of entities and events. In opposition, moreover, to the strong approach to sociomateriality in IS, the essay holds that most nexuses to which human people are integral aggregate the different agencies of the entities and events that compose them. The essay develops these theses by carefully sorting out different conceptions of agency and by both disambiguating and exploring four prominent claims contained in the idea that agency is tied to combinations of entities and events. Sorting out different conceptions of agency also shows that agency is causality, that is, particular forms of causality. The overall result is a defense of the integrity of the concept of agency as a reflection of the noun-verb structure of human languages.
本文敦促研究者尊重不同类型实体的代理之间的差异,以及被理解为实体和事件组合的代理特征的“分布式代理”类型之间的差异。此外,与IS中对社会物质性的强烈态度相反,本文认为,人类作为整体的大多数纽带聚集了构成它们的实体和事件的不同机构。本文通过仔细整理代理的不同概念,并通过消除歧义和探索代理与实体和事件的组合相关联这一观点中包含的四个重要主张,来发展这些论点。对不同的代理概念的梳理也表明,代理就是因果关系,即因果关系的特定形式。总体结果是对代理概念作为人类语言名动结构反映的完整性的辩护。
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引用次数: 0
Digital innovation sourcing through entrepreneurial storytelling: Insights from Pebble time's crowdfunding success 通过创业故事寻找数字创新来源:来自Pebble time众筹成功的见解
IF 5.7 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2024-12-24 DOI: 10.1016/j.infoandorg.2024.100552
Vasili Mankevich , Sanja Tumbas , Jonny Holmström
Digital innovation is an open collaborative process that involves many contributors for creating digital products and services. Entrepreneurs continuously engage with various external actors during their venture's lifecycle, utilizing these interactions to source opportunities, knowledge and resources, while shaping the project vision. However, the mechanisms governing digital innovation sourcing remain unclear. This paper proposes an entrepreneurial storytelling perspective to bridge this gap. We study the case of digital innovation sourcing by analyzing the crowdfunding story of Pebble Time, the most successful Kickstarter campaign to date. Using digital archival sources, we trace Pebble's approach over the course of the campaign. Our findings contribute to the digital innovation literature by demonstrating how the company's efforts allowed diverse actors to participate collectively and affect the entrepreneurial story over time. We identify four modes of actions that digital ventures employ in the collective construction of entrepreneurial narratives: nudging, pushing, scanning, and highlighting. We suggest that the modes of digital action enable digital innovation sourcing when crafting a compelling narrative in the digital age.
数字创新是一个开放的协作过程,涉及许多贡献者创造数字产品和服务。在企业的生命周期中,企业家不断地与各种外部参与者接触,利用这些互动来获取机会、知识和资源,同时塑造项目愿景。然而,管理数字创新来源的机制仍不清楚。本文提出了一个企业家讲故事的视角来弥合这一差距。我们通过分析Pebble Time(迄今为止最成功的Kickstarter活动)的众筹故事,来研究数字创新来源的案例。利用数字档案资源,我们追溯了Pebble在整个竞选过程中的做法。我们的研究结果通过展示公司的努力如何使不同的参与者集体参与并随着时间的推移影响创业故事,为数字创新文献做出了贡献。我们确定了数字企业在创业叙事的集体构建中采用的四种行动模式:轻推、推动、扫描和突出。我们建议,在数字时代,数字行动模式能够在制作引人注目的叙述时实现数字创新。
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引用次数: 0
Digital technologies exacerbating mission drift in microfinance institutions: Evidence from India 数字技术加剧了小额信贷机构的使命漂移:来自印度的证据
IF 5.7 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2024-11-30 DOI: 10.1016/j.infoandorg.2024.100541
Nidhi S. Bisht , Ernesto Noronha , Arun Kumar Tripathy
Digital technologies (DTs) are increasingly recognized as crucial in addressing social issues related to inequality and enhancing the well-being and agency of socially marginalized groups. We however, provide evidence that, instead of alleviating social inequalities, use of DTs (re)produced and exacerbated these inequalities in disparate forms, for an already marginalized population. Based on a qualitative study of employees from five microfinance institutions (MFIs) in India that offer uncollateralized group loans to poor rural women, our findings demonstrate how the pursuit of financial gains through DTs in providing microfinance exacerbated mission drift in MFIs, leading to reduced quality and depth of outreach. The use of DTs undermined social and human capital development — both crucial for alleviating poverty — and widened exclusion rather than bridging the gap. We explicate the quality of outreach (i.e., quality of services provided) as an additional dimension of social outreach, alongside the depth of outreach (i.e., reaching poorer borrowers) for understanding mission drift. Our findings call for consideration of existing intersectional social inequalities when leveraging DTs for social causes.
人们日益认识到,数字技术在解决与不平等有关的社会问题、提高社会边缘群体的福祉和能动性方面至关重要。然而,我们提供的证据表明,对于已经被边缘化的人群来说,DTs的使用非但没有缓解社会不平等,反而以不同的形式(重新)产生并加剧了这些不平等。基于对印度五家向贫困农村妇女提供无抵押团体贷款的小额信贷机构(mfi)员工的定性研究,我们的研究结果表明,通过提供小额信贷的小额信贷机构追求财务收益如何加剧了小额信贷机构的使命漂移,导致外展的质量和深度下降。DTs的使用破坏了社会和人力资本的发展——这两者对减轻贫困都至关重要——并且扩大了排斥,而不是缩小差距。我们将外展的质量(即提供的服务质量)解释为社会外展的一个额外维度,与外展的深度(即接触较贫穷的借款人)一起,以理解使命漂移。我们的研究结果呼吁在利用DTs进行社会事业时考虑现有的交叉社会不平等。
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引用次数: 0
A divergent model of online social movements in organizations 组织中在线社会运动的分歧模型
IF 5.7 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2024-11-23 DOI: 10.1016/j.infoandorg.2024.100542
Joao Cunha
The divergent model explains the outcomes of people's participation in online social movements when people see each other's practices as interfering with their own.
This new model is built from a qualitative study of how employees used two online fora to cope with, and respond to organizational change. The model extends research on the role of difference in online social movements by showing how people moderate the effects of preceding practices that they interpret to hinder their own participation in online social movements, and how people specify subsequent practices so that they support their own.
This divergent model provides an analytical framework to understand how online social movements can produce different and even contradictory effects on change in organizations. Thus doing, it opens up research on online social movements to include the effects of tensions and conflicts found by research on online interaction. (134 words).
当人们认为对方的做法干扰了自己的做法时,分歧模式就能解释人们参与网络社会运动的结果。
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引用次数: 0
When is enough enough? A critical assessment of data adequacy in IS qualitative research 何时足够?对信息系统定性研究中数据充分性的批判性评估
IF 5.7 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2024-11-12 DOI: 10.1016/j.infoandorg.2024.100540
Christine Abdalla Mikhaeil , Daniel Robey
Qualitative researchers across disciplines, including information systems (IS), face new pressures to ensure the transparency of their studies and their accountability for knowledge claims. As qualitative research becomes more scrutinized, researchers need to demonstrate transparency in their methods. However, the methods sections in published articles may not provide enough details to meet the changing expectations and policies of journals. This raises the issue of how to judge a qualitative study without imposing inappropriate criteria, such as quantitative metrics (e.g., volume of data) or standard templates that may not match the diversity of qualitative approaches. Based on these concerns, we clarify the status of data and their adequacy for achieving research objectives. We show how data adequacy can support theoretical reasoning in three modes of inference: induction, deduction, and abduction. We include illustrative practices for researchers wishing to adopt more transparent practices for judging and reporting data adequacy.
包括信息系统 (IS) 在内的各学科定性研究人员都面临着新的压力,需要确保其研究的透明度和对知识主张负责。随着定性研究受到越来越严格的审查,研究人员需要展示其研究方法的透明度。然而,已发表文章中的方法部分可能无法提供足够的细节来满足期刊不断变化的期望和政策。这就提出了一个问题:如何在不强加不恰当标准(如定量指标(如数据量)或标准模板)的情况下评判一项定性研究?基于这些问题,我们澄清了数据的地位及其对实现研究目标的充分性。我们展示了数据充分性如何支持三种推理模式的理论推理:归纳、演绎和诱导。我们为希望在判断和报告数据充分性方面采用更透明做法的研究人员提供了说明性做法。
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引用次数: 0
The same but different: Understanding variation and similarity in the outcomes of a similar technology. A comparative case study on the deployment of manufacturing execution systems in three Belgian SME's 相同但不同:了解类似技术成果的差异性和相似性。比利时三家中小企业部署制造执行系统的比较案例研究
IF 5.7 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2024-10-22 DOI: 10.1016/j.infoandorg.2024.100539
Yennef Vereycken, Anne Guisset, Monique Ramioul
Current research on technological innovation seems preoccupied with studying the varying outcomes of technological innovation on work and organisations. To understand this variation and explain why technological innovation leads to specific outcomes, the process of technological innovation must be scrutinized. A comparative case study was conducted to examine the design, implementation and use of an identical technology (Manufacturing Execution Systems (MES)) in three Belgian SMEs. We explain the organisational and labour related outcomes of MES deployment by analysing both the strategic choices during the selection, design, implementation and utilization of MES in relation to the division of labour between employees, management and technology developers during the technological innovation process. Our findings show how various strategic choices and different divisions of labour lead to both overarching similarities (e.g. increased centralisation, standardization and employee control) as well as important variations in technological outcomes (e.g. degree of (de)centralisation, standardization and employee control). These results illustrate the relative autonomy organisations have in shaping technological outcomes while simultaneously showing the limitations they face, stemming from (I) the material characteristics of technology shaped at meso and macro political level and (II) the social relations at organisational level.
目前关于技术创新的研究似乎专注于研究技术创新对工作和组织产生的不同结果。要理解这种差异并解释为什么技术创新会导致特定的结果,就必须仔细研究技术创新的过程。我们开展了一项比较案例研究,考察了比利时三家中小企业设计、实施和使用相同技术(制造执行系统(MES))的情况。我们通过分析制造执行系统的选择、设计、实施和使用过程中的战略选择,以及技术创新过程中员工、管理层和技术开发人员之间的分工,解释了制造执行系统部署的组织和劳动力相关结果。我们的研究结果表明,各种战略选择和不同的分工如何导致总体上的相似性(如加强集中化、标准化和员工控制)以及技术成果上的重要差异(如(去)集中化、标准化和员工控制的程度)。这些结果说明了组织在塑造技术成果方面的相对自主性,同时也表明了它们所面临的局限性,这些局限性来自于(I)在中观和宏观政治层面上塑造的技术的物质特征,以及(II)组织层面上的社会关系。
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引用次数: 0
Beyond connectivity: Artificial intelligence and the internationalisation of digital firms 超越连接:人工智能与数字企业的国际化
IF 5.7 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2024-10-02 DOI: 10.1016/j.infoandorg.2024.100538
José F.P. dos Santos , Peter J. Williamson
With the rapid development of artificial intelligence/machine learning technologies (AI/ML) it is now opportune to consider the potential for these technologies to create new strategies for internationalisation. In this paper we examine the implications of deploying AI technologies on the internationalisation process of firms. We show how firms can create digital interactions from which information about individual's revealed preferences can be imputed. The use of this information by a proprietary AI model, rather than using FDI designed to learn about the characteristics of country markets as proxies to predict the general behaviour of consumers located there, provides a new, country-agnostic way to enter foreign markets and adapt to differences among consumers based on segments of one. AI can, therefore, enable born-digital firms, and potentially other businesses where digitalisation can play a role, to build new kinds of competitive advantages based on data network effects. We illustrate these theoretical propositions with reference to value-creation activities of the short-video streaming born-digital TikTok.
随着人工智能/机器学习技术(AI/ML)的飞速发展,现在正是考虑这些技术为国际化创造新战略的潜力的好时机。在本文中,我们将探讨部署人工智能技术对企业国际化进程的影响。我们展示了企业如何创建数字互动,并从中推测出个人的显性偏好信息。专有的人工智能模型利用这些信息,而不是利用旨在了解国家市场特征的外国直接投资作为预测当地消费者一般行为的替代物,为进入外国市场并适应基于细分市场的消费者之间的差异提供了一种全新的、与国家无关的方法。因此,人工智能能让天生数字化的企业,以及其他数字化能发挥作用的潜在企业,在数据网络效应的基础上建立新型竞争优势。我们将以短视频流媒体天生数码 TikTok 的价值创造活动为例来说明这些理论命题。
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引用次数: 0
Furthering engaged algorithmic management research: Surfacing foundational positions through a hermeneutic literature analysis 推进参与式算法管理研究:通过诠释学文献分析揭示基本立场
IF 5.7 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2024-08-15 DOI: 10.1016/j.infoandorg.2024.100528
Rick Sullivan, Alex Veen, Kai Riemer

This study undertakes a hermeneutic analysis of the growing literature on algorithmic management. Algorithmic management is a subset of algorithmic decision-making, also referred to as algorithmic work. To date, the underlying norms, and assumptions of researchers, and how assumptions shape understandings of algorithmic management, have been under investigated. Using a hermeneutic methodology, we uncover four different onto-epistemological positions in the literature based on two overarching worldviews. The first is techno-human dualism, rooted in dualist ontological assumptions foregrounding entities. The second is techno-human entanglement, grounded in relational perspectives that view the social and material as inseparable. The worldviews are comprised of four meta-understandings that form our framework: (1) the ‘techno-centric’ view gives primacy to the technology, with humans seen as a secondary feature; (2) the ‘techno-mediated control’ view focuses on managerial power with technology a tool for control and the organization of labor; (3) the ‘techno-human enactment’ view focuses on the performative aspects of algorithmic management; and (4) the ‘techno-human being’ view explores how algorithmic management affects identity (re)formation and meaning-making. We demonstrate how onto-epistemological assumptions configure interpretations of algorithmic management. We focus on algorithms (as a foundational and integral characteristic), organizational control (a core function), and human-in-the-loop configurations (as a possible safeguard). By surfacing the plurality of assumptions in algorithmic management research, we seek to foster more engaged scholarship and encourage the virtue of choosing a research position rather than inheriting it.

本研究对日益增多的算法管理文献进行了诠释学分析。算法管理是算法决策的一个子集,也被称为算法工作。迄今为止,对研究人员的基本规范和假设,以及假设如何影响对算法管理的理解,还没有进行充分的研究。利用诠释学方法,我们发现了文献中基于两种总体世界观的四种不同的认识论立场。第一种是技术-人类二元论,植根于以实体为中心的二元本体论假设。第二种是技术-人类纠缠论,立足于将社会和物质视为不可分割的关系观点。世界观由四种元理解组成,构成了我们的框架:(1) "以技术为中心 "的观点将技术放在首位,而人类则被视为次要特征;(2) "以技术为媒介的控制 "观点侧重于管理权力,而技术则是控制和组织劳动的工具;(3) "技术-人类演绎 "观点侧重于算法管理的表演性方面;以及(4) "技术-人类存在 "观点探讨了算法管理如何影响身份(再)形成和意义生成。我们展示了认识论假设如何配置对算法管理的解释。我们重点关注算法(作为一种基础和整体特征)、组织控制(一种核心功能)和人在环路中的配置(作为一种可能的保障)。通过揭示算法管理研究中的多元假设,我们寻求促进更多的学术参与,并鼓励选择而非继承研究立场的美德。
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引用次数: 0
Expert-AI pairings: Expert interventions in AI-powered decisions 专家与人工智能配对:人工智能决策中的专家干预
IF 5.7 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2024-08-12 DOI: 10.1016/j.infoandorg.2024.100527
Ignacio Fernandez Cruz

This study offers a nuanced exploration into the intersection of expertise and AI-powered decision-making, particularly within the realm of high-volume recruitment. It leverages theory from the evolving discourse on relational expertise and human-AI interaction to examine how experts navigate, interpret, and sometimes challenge AI tool outputs. Through in-depth interviews with 42 recruitment experts, the study focuses on the concept of algorithmic folk theories—the interpretive frameworks through which experts engage with algorithmic recommendations. Central to the study's findings is the range of perceptions among experts toward AI technologies, viewed through the lens of expert-AI pairings. These perceptions oscillate between viewing AI as either a complementary ally or a challenging rival, significantly shaped by organizational contexts. Factors influencing these views include oversight levels, trust in AI outputs, and the prioritization of AI tools in decision-making processes. Findings also reveal instances of algoactivism, where experts actively resist or workaround AI outputs to align with their professional judgment. In turn, algorithmic folk theories are interpretive frameworks informed by and situated within organizational structures.

Theoretically, this study deepens our understanding of the relational dynamics between human expertise and AI systems in professional settings. It highlights the critical role of context-specific factors in shaping these interactions and offers new perspectives on the complexities of AI integration for workplace decision-making. I explain my work's findings in relation to our broader discourse around artificial intelligence use at work. Finally, I offer theoretical and practical considerations for future research and practice.

本研究对专业知识与人工智能决策的交叉点进行了细致入微的探索,尤其是在大批量招聘领域。它利用不断发展的相关专业知识和人与人工智能互动的理论,来研究专家们是如何驾驭、解读,有时甚至是质疑人工智能工具的输出结果的。通过对 42 位招聘专家的深入访谈,研究重点放在了算法民间理论的概念上--专家们通过这一解释框架参与算法建议。研究发现的核心是,从专家与人工智能配对的角度来看,专家们对人工智能技术的认知范围。这些看法在将人工智能视为互补的盟友或具有挑战性的对手之间摇摆不定,这在很大程度上受到组织环境的影响。影响这些观点的因素包括监督水平、对人工智能产出的信任以及人工智能工具在决策过程中的优先级。研究结果还揭示了算法行动主义(goactivism)的实例,即专家积极抵制或变通人工智能的产出,以符合他们的专业判断。从理论上讲,这项研究加深了我们对专业环境中人类专业知识与人工智能系统之间关系动态的理解。本研究从理论上加深了我们对专业环境中人类专业知识与人工智能系统之间关系动态的理解,强调了特定环境因素在形成这些互动中的关键作用,并为人工智能与工作场所决策整合的复杂性提供了新的视角。我将结合我们在工作中使用人工智能的广泛讨论来解释我的研究成果。最后,我为未来的研究和实践提供了理论和实践方面的考虑。
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