Information and Organization最新文献

{"title":"Digital technologies exacerbating mission drift in microfinance institutions: Evidence from India","authors":"Nidhi S. Bisht ,&nbsp;Ernesto Noronha ,&nbsp;Arun Kumar Tripathy","doi":"10.1016/j.infoandorg.2024.100541","DOIUrl":"10.1016/j.infoandorg.2024.100541","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":47253,"journal":{"name":"Information and Organization","volume":"35 1","pages":"Article 100541"},"PeriodicalIF":5.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142745775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Digital innovation sourcing through entrepreneurial storytelling: Insights from Pebble time's crowdfunding success","authors":"Vasili Mankevich ,&nbsp;Sanja Tumbas ,&nbsp;Jonny Holmström","doi":"10.1016/j.infoandorg.2024.100552","DOIUrl":"10.1016/j.infoandorg.2024.100552","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":47253,"journal":{"name":"Information and Organization","volume":"35 1","pages":"Article 100552"},"PeriodicalIF":5.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142889358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Novice risk work: How juniors coaching seniors on emerging technologies such as generative AI can lead to learning failures","authors":"Katherine C. Kellogg ,&nbsp;Hila Lifshitz ,&nbsp;Steven Randazzo ,&nbsp;Ethan Mollick ,&nbsp;Fabrizio Dell'Acqua ,&nbsp;Edward McFowland III ,&nbsp;François Candelon ,&nbsp;Karim R. Lakhani","doi":"10.1016/j.infoandorg.2025.100559","DOIUrl":"10.1016/j.infoandorg.2025.100559","url":null,"abstract":"<div><div>Historically, junior professionals have mentored senior professionals around new technologies, because juniors are typically more willing than seniors to perform lower-level tasks to learn new skills, better able than seniors to engage in real-time experimentation close to the work itself, and more willing than seniors to learn innovative methods that conflict with traditional identities and norms. However, we know little about what happens when emerging technologies have a high level of uncertainty in their use, because they have wide-ranging capabilities and are exponentially changing. With the rise of Artificial Intelligence, specifically learning algorithms and LLMs, such contexts may be increasingly common. In our study conducted with the Boston Consulting Group, a global management consulting firm, we interviewed 78 junior consultants in July–August 2023 who had recently participated in a field experiment that gave them access for the first time to generative AI (GPT-4) for a strategic business problem solving task. Drawing from junior professionals' in situ reflections soon after the experiment, we found that junior professionals may fail to manage risks around uncertain emerging technologies because juniors are likely to recommend three kinds of <em>novice risk work</em> tactics that: 1) are grounded in a lack of deep understanding of technologies that have uncertain and wide-ranging capabilities and are changing exponentially, 2) focus on change to human routines rather than system design, and 3) focus on interventions at the project-level rather than system deployer- or ecosystem-level. The implications of <em>novice risk work</em> are that, when junior professionals are expected to be a source of expertise in the use of uncertain, emerging technologies, this can lead to learning failures. This study contributes to our understanding of occupational learning around emerging technologies, risk work in organizations, and human-computer interaction.</div></div>","PeriodicalId":47253,"journal":{"name":"Information and Organization","volume":"35 1","pages":"Article 100559"},"PeriodicalIF":5.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143455015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Digital innovation, platforms, and global strategy","authors":"Danielle Logue ,&nbsp;Peter Williamson ,&nbsp;Anna Roberts ,&nbsp;Yadong Luo ,&nbsp;Michael Barrett","doi":"10.1016/j.infoandorg.2025.100562","DOIUrl":"10.1016/j.infoandorg.2025.100562","url":null,"abstract":"","PeriodicalId":47253,"journal":{"name":"Information and Organization","volume":"35 1","pages":"Article 100562"},"PeriodicalIF":5.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143508261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Agency","authors":"Theodore R. Schatzki","doi":"10.1016/j.infoandorg.2024.100553","DOIUrl":"10.1016/j.infoandorg.2024.100553","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":47253,"journal":{"name":"Information and Organization","volume":"35 1","pages":"Article 100553"},"PeriodicalIF":5.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142925023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"I gotta use words when I talk to you: Primed suspension of disbelief in views on agency in relation to Artificial Intelligence","authors":"Matthew Jones","doi":"10.1016/j.infoandorg.2025.100557","DOIUrl":"10.1016/j.infoandorg.2025.100557","url":null,"abstract":"<div><div>The public launch of generative AI systems in 2022 has prompted considerable popular interest in their potential to transform work and to achieve the long-sought goal of machine intelligence. While the uncanny abilities of Large Language Models to produce fluent text on almost any subject lends these ideas some plausibility, they are based on debatable, if not erroneous, claims about the capabilities of generative AI. Although rarely presented in these terms, these claims may be seen to reflect a limited, substantive conception of the agency of AI systems. Alternative conceptualisations of agency from other disciplines are presented that may offer potentially more fruitful ways of thinking about agency in relation to AI. The way that conceptions of the agency of AI systems is shaped by the language used to describe their behaviour is highlighted and opportunities for alternative conceptions of agency to inform a more critical analysis of generative AI are identified.</div></div>","PeriodicalId":47253,"journal":{"name":"Information and Organization","volume":"35 1","pages":"Article 100557"},"PeriodicalIF":5.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143520988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Beyond connectivity: Artificial intelligence and the internationalisation of digital firms","authors":"José F.P. dos Santos ,&nbsp;Peter J. Williamson","doi":"10.1016/j.infoandorg.2024.100538","DOIUrl":"10.1016/j.infoandorg.2024.100538","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":47253,"journal":{"name":"Information and Organization","volume":"34 4","pages":"Article 100538"},"PeriodicalIF":5.7,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142422506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Expert-AI pairings: Expert interventions in AI-powered decisions","authors":"Ignacio Fernandez Cruz","doi":"10.1016/j.infoandorg.2024.100527","DOIUrl":"10.1016/j.infoandorg.2024.100527","url":null,"abstract":"<div><p>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.</p><p>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.</p></div>","PeriodicalId":47253,"journal":{"name":"Information and Organization","volume":"34 4","pages":"Article 100527"},"PeriodicalIF":5.7,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141979711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Furthering engaged algorithmic management research: Surfacing foundational positions through a hermeneutic literature analysis","authors":"Rick Sullivan,&nbsp;Alex Veen,&nbsp;Kai Riemer","doi":"10.1016/j.infoandorg.2024.100528","DOIUrl":"10.1016/j.infoandorg.2024.100528","url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":47253,"journal":{"name":"Information and Organization","volume":"34 4","pages":"Article 100528"},"PeriodicalIF":5.7,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1471772724000289/pdfft?md5=6d7e0bf8ef46d5ec42ea9a5834920b6c&pid=1-s2.0-S1471772724000289-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141990299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"When is enough enough? A critical assessment of data adequacy in IS qualitative research","authors":"Christine Abdalla Mikhaeil ,&nbsp;Daniel Robey","doi":"10.1016/j.infoandorg.2024.100540","DOIUrl":"10.1016/j.infoandorg.2024.100540","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":47253,"journal":{"name":"Information and Organization","volume":"34 4","pages":"Article 100540"},"PeriodicalIF":5.7,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142643097","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}