Generating, Grading, and Ghosting: How Organizing Experts Shapes Expertise DOI Creative Commons
Pedro Monteiro

Journal of Management Studies, Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 22, 2024

Abstract Experts increasingly refine their expertise into specialties as they labour in and around organizations. Yet, previous research assumes that experts are organized the workplace ways passively accommodate or mirror pre‐existing focuses on organizational structures codify content of experts’ knowledge an encroachment. Drawing a qualitative field study aeronautical organization's engineering unit, this paper examines chart area knowledge, i.e., specialties. The findings show generative, defining contours existing catalysing formation new ones ( generating ). However, also encode criteria implicitly rank some forms over others, thereby reinforcing status hierarchies grading ), misalignment across renders invisible ghosting By showing active role shaping rather than simply housing it, contributes to our understanding development well dynamics access resources among experts. Further, reveals how misalignments multiple may impact management human capital.

Language: Английский

Here, There and Everywhere: On the Responsible Use of Artificial Intelligence (AI) in Management Research and the Peer‐Review Process DOI Open Access
Caroline Gatrell, Daniel Muzio, Corinne Post

et al.

Journal of Management Studies, Journal Year: 2024, Volume and Issue: 61(3), P. 739 - 751

Published: Jan. 30, 2024

Abstract This editorial introduces and explains the Journal of Management Studies’ (JMS) new policy on artificial intelligence (AI) . We reflect use AI in conducting research generating journal submissions what this means for wider JMS community, including our authors, reviewers, editors, readers. Specifically, we consider how AI‐generated text could both assist augment publication process, as well harm it. Consequentially, acknowledges need careful oversight regarding to authoring texts data analyses, while also noting importance requiring authors be transparent about how, when where they have utilized their or underlying research. Additionally, examine ways AI's may antithetical spirit a quality like that values human voice transparency. Our why require author teams oversee all aspects within projects, take personal responsibility accuracy explain prohibition peer‐reviewers’ evaluations submissions, editors’ handling manuscripts.

Language: Английский

Citations

26

Theory‐Driven Perspectives on Generative Artificial Intelligence in Business and Management DOI Creative Commons
Olivia Brown, Robert M. Davison, Stephanie Decker

et al.

British Journal of Management, Journal Year: 2024, Volume and Issue: 35(1), P. 3 - 23

Published: Jan. 1, 2024

Shuang Ren, Riikka M. Sarala, Paul Hibbert The advent of generative artificial intelligence (GAI) has sparked both enthusiasm and anxiety as different stakeholders grapple with the potential to reshape business management landscape. This dynamic discourse extends beyond GAI itself encompass closely related innovations that have existed for some time, example, machine learning, thereby creating a collective anticipation opportunities dilemmas surrounding transformative or disruptive capacities these emerging technologies. Recently, ChatGPT's ability access information from web in real time marks significant advancement profound implications businesses. feature is argued enhance model's capacity provide up-to-date, contextually relevant information, enabling more customer interactions. For businesses, this could mean improvements areas like market analysis, trend tracking, service real-time data-driven problem-solving. However, also raises concerns about accuracy reliability sourced, given sometimes unverified nature content. Additionally, might complicate data privacy security, boundaries interactions extend into vast diverse Internet These factors necessitate careful responsible approach evaluating using advanced capabilities contexts. attracting much interest academic practitioner literature. A quick search Google Scholar, terms 'generative intelligence' 'business' 'management', yields approximately 1740 results. Within extensive repository, scholars delve facets, exploring GAI's applications across various functions, contemplating its educators scrutinizing specific technological applications. Learned societies such British Academy Management joined forces leading discussion on AI digitalization academe. Meanwhile, practitioners consultants alike (e.g. McKinsey & Company, PWC, World Economic Forum) produced dedicated discussions, reports forums offer insights multifaceted impacts considerations integration contemporary practices. Table 1 illustrates current documented Zalando [online platform fashion lifestyle] Instacart [e-commerce application] Salesforce [cloud-based relationship software provider] DHL [logistics Coca-Cola [beverage company] Nestlé Mondelez [confectionary] Heinz [food processing Air India [airline] Duolingo [language learning Mastercard [financial services] In an attempt capture new challenges brought by technology hopefully find way forward guide research practice, journals been swift embrace trend, introducing special issues GAI. aim promote intellectual debate, instance relation disciplines Benbya, Pachidi Jarvenpaa, 2021) organizational possibilities pitfalls (Chalmers et al., 2023). amidst commendable efforts reflect broad spectrum perspectives, critical examination burgeoning hype around reveals gap. Despite proliferation discussions scholars, general public, prevailing often speculative, lacking robust theoretical foundation. deficiency points existing theories their efficacy explaining unique demands created indicates urgent need refining prior even redeveloping theories. There pressing move wave explore underpinnings dynamics impact, ensure nuanced informed can future application rapidly evolving area. direction, Journal (BJM) invited prominent who serve editors weigh contribute knowledge symposium paper phenomenon. collaborative effort aims advance theorization intricacies associated impact engaging intensive how attempts be made make sense myths truths quest theory, either seeking refining, long-standing tradition Colquitt Zapata-Phelan, 2007). While seven pieces below place elements under spotlight scrutiny, one common thread reconceptualize relational realm workplaces. introduction workplace refines norm working together person-to-person group human–GAI group, latter illustrating three novel conceptual contributions comparison traditional understandings workplace. GAI-laden workplace, it imperative shift our perspective deterministic outlook manages emergence. Quattrone, Zilber Meyer encapsulate emergent GAI-related phenomena pointing out 'the not there'. Rather than attempting predict future, they advocate making through creativity reflection. Equally, posit should viewed construction whose functions effects are predetermined but shaped people's decisions utilization. etymological lens bring encourages rethinking ontologically. recognition inability know what it, centred upon relations between generations ways, people within generations, objects locations broadly. Relationality thus establishes context sense-making, where workings outcomes unfold phenomena, MacKenzie, Decker Lubinski illuminate importance contextual understanding when examining advocating 'context matters'. propose expansive concept analysis past imaginaries technologies, technologies currently question along other well incorporation institutional over economic, political systems). essence, call recognize matters' guiding principle idiosyncratic, isolated examinations relationships emergence development. Brown, Ellis Gore ask we redefine 'team' if integrates daily work. As conventional definitions team comprise individuals, extent which considered member becomes pivotal. may seem human-like (including robotic 'human'), does yet possess feelings, desires, intentions responsibility same human beings. team, Davison Ravishankar first-hand experience research, specifically tasks literature review, transcribing analysing data. They caution against mere reliance generating original research. Nonetheless, conclude highlighting leveraging effective 'prompts' maximize GAI, leaving readers valuable food thought. Munzio Faulconbridge take focusing producer–consumer shape professionalism. highlight range questions will challenge established constructs theoretically empirically. addition, Islam Greenwood debates (or absence) use unfold. production GAI-based large language models accountability. perhaps humans coordinated uncoordinated. sum, BJM committed fostering deeper stimulating debate studies. collection do seek definitive solutions; instead, invaluable starting point journey exploration discovery field. offered here boundaries, challenging enriching fresh perspectives stimulated phenomenon pivotal developing, extending, adapting frameworks remain landscape become GAI-driven. ethical societal management, emphasizing sustainable By bridging theory managers tools navigate complexities integrating strategies operations, appropriate, manner. symposium, body only seeks understand explain work, employment, business, governance society towards directions. Paolo Tammar Zilber, Renate etymology words source meaning, speculate imagine meanings so obvious see signalled surprising ways. 'artificial' 'intelligence' disappoint. 'Artificial' comes 'art' -fex 'maker', facere 'to do, make'. 'Intelligence' inter 'between' legere 'choose, pick out, read' 'collect, gather'. enough etymologies few speculations contours possible futures. first inspired craft relates very function AI. Most fascinations emphasize predictive increasingly available at easy disposal. Indeed, marketers next toothbrush, fuel cars, buy clothes, forth. list long. enchants us when, instance, thinks product and, invariably, advertisement appears social media page. quasi-magical captures imaginations draws well-ingrained forms presuppose techniques there represent world, paradoxically, there, case predictions. issue there; want still, called respond demands. availability huge amounts intelligence, proximal mundane – examples above, always holds surprises. means useful actually reveals. art possibility conceiving compositional art, helps create images sparks imagination hopefully, offers space speculation word second cue, stresses 'inter' 'in between'. entrepreneurs ventures (Hjorth Holt, 2022), probe grey statuses courses action. It used scenarios, sure set produces alternative options leave juggling among decision-making criteria without reducing complex states affairs single criteria, most likely, value rather values. how, wisely refrain apocalyptic salvific scenarios characterize On hand, seen worst menaces humankind. control minds direct habits, entirely dependent. Very Luddites were proven wrong (but completely) looking Industrial Revolutions, pessimist views prove wrong, completely, clear agency (Latour, 1987) informing judgement multimodal affects, is, relying repertoire senses, all mobilized think smartwatches influence training habits). similar enterprise resource planning (ERP) systems panacea many problems, diseases grand challenges, poverty climate change, least until realizes SAP stand 'Solves All Problems' (Quattrone Hopper, 2006). dystopian utopian attitudes soon debunked room balanced views, acknowledge address wicked problems problem itself, again, realize wisdom found middle, middle views. case, in-between view construction. Like resources (Feldman Worline, 2006) (Orlikowski, 2000), effect pre-given determined thereof. productive 'facts' those reminiscent fact facts 'made', nothing less factual for, Romans knew (from factum, i.e. made), constructed, them quantities. good speculate, foster having amount available, potentially bad, own establish magnify Foucault's adage power. third cue stands root leg-, originates not, including (to read, choose), legare knot) indeed religion. medieval classifying inventories invent solutions old recombining forms, choosing picking depending purpose calculation, reimagine (Carruthers, 1998), bigger generate inventions finally 'what not' fruitful imagining unprecedented define is' (Quattrone, 2017). Only then truly generative. was Steve Ballmer, CEO Microsoft, presented iPhone. He exclaimed 'who would pay five hundred dollars phone?'. had realized comprehend power better are. cell phone camera, TV cinema, newspaper, journal/calendar. begins X, negative, correlations defines Z (a cinema) meeting place). negative potential, be, core facilitate help avoid taking things granted. So, predicting develop affect lives bound fail ways go unintended consequences. At stage, try unknowable present pathways open close. Exploring framing contests AI, actors involved interests tell ourselves fantasies, fears hopes future. brings whether inform thinking actions. That behaviour now taken granted, deterministic, affordances designers, counts possibly black box reopen. Since invention printing press, Roland Barthes Michael Foucault, notion authorship questioned (Barthes, 1994; 1980), authors' authority truer now, algorithms kinds already seemingly autonomously, high-frequency trading finance digital twins construction, being able write meaningful sentences disrupt outlets texts typically published, (Conroy, We moving non-human 'decision-maker', self-driving car rover autonomously Mars, 'makers' tout court, difference no And world personal, work lives. policy implications. terms, legal form corporation emerged limit regulate individual greed (Meyer, Leixnering Veldman, witness fictitious persona, virtual corporation, factories employees, while still producing distributing through, to, them, respectively. Designing anticipatory intricate corporations, dispersed ephemeral, say slippery. Theoretically, edge revolution important organization twentieth century. Herbert Simon (1969) foresaw science artificial, object artefacts kinds, ends bounded rationality decision-making. surprised 'New Science Artificial', study rationality, twenty-first sure, govern intertwine changing both. Niall G. Stephanie Decker, Christina subject breathless treatments academics commentators alike, claims impending ubiquity doom, your perspective) life upended, millions jobs destroyed (Eglash 2020). Historians will, course, new. Technological innovation adoption long generally well-researched history (Chandler, 2006; Scranton, 2018) true resistance (Juma, 2016; Mokyr, 1990; Thompson, 1963) moral panics (Orben, What, anything, 'it's new…'? Good historical practice requires dialogue (Wadhwani Thus, character development occurred occurs. was/is underpinned progression several mathematics, telecommunications, warfare, mining computing (amongst more) (Buchanan, Chalmers, Carter, 2021; Haenlein Kaplan, 2019). despite rapid recent progress, result iterative developments sectors enable(d) facilitate(d) it. Consistent imagined futures (Beckert, 2016) pushed technologists, entrepreneurs, policymakers futurists society. regard illustrated considering (Taylor, 2004) generated part previous adoption. When emerges, fanfare change better, and/or settled arrangements (Budhwar, Ubiquity-posited competing promises doing improved, alternatives averred economic benefits promised, accompanied regarding job destruction, upheaval threat machines over. consequence, compete each themselves spaces frame experiments Viebig, 2021). analyse auguries posited adopt adapt changes bring. post-hoc claims. historians non-technological transformations (Lubinski 2023), theorizing imaginaries, play role legitimation adoption, opposition. Given contested societally therefore consider emerge order appropriate lenses them. context, nuances parallels come past. Luddite riots nineteenth century, whereby agricultural workers sought destroy machinery replacing labour (Mokyr, 1963), probably famous response technology, giving rise term 'Luddite' commonly today describe someone opposed technology. Contrastingly, playwright Oscar Wilde his 1900 essay 'The soul man socialism' 'All unintellectual labour, monotonous, dull deals dreadful things, involves unpleasant conditions, must done machinery' (Wilde, 1891/2007). More recently, Lawrence Katz, economist Harvard, repeated Wilde's suggestion 'information robots eliminate artisanal economy' (Thompson, 2015). Both Katz's comments tilt imaginary automation freeing up focus creative rewarding pursuits, whilst expressing serious misgivings jobs, livelihoods mechanization. bad necessary really understood post hoc context. Mary O'Sullivan recently pointed based her steam engine Cornish copper mines eighteenth rewards suggested system developed remains controlled small groups powerful individuals (O'Sullivan, Similar principal proponents comprising global multinationals, state-controlled military, racing dominance (Piper, concerning warnings threats, particularly light shifts. face ongoing new, ubiquity-focused accompanying (which constitute noise, albeit kernels truth/accuracy hidden therein). sense, theorize (and vice versa), foretell provides impacted in. Interrogating conceptualization turn allow harness greater good. Olivia David A. Ellis, Julie Digital continue permeate society, teams collaborate (Barley, Bechky Milikhen, communication led globally distributed corporate (see Gilson volume variety types linked accelerated, witnessed (LLMs), ChatGPT bringing attention wider audience. Broadly referred (GAI), allows teams) quickly provided detailed, actionable, conversational responses. Sometimes agents retrieval systems, responses effectively members. teamwork organizations shifted whether, circumstances, 'team member' (Malone, 2018). Conceptualizing manner suggests away viewing supportive tool adjunct Robert, 2019 healthcare) intrinsic task-execution processes (O'Neill 2022). New raised members improve performance trust them? so, much? To degree merely replacements decision-making? hybrid completes task, takes successes failures? How leaders quantify accountability? Addressing early dictates reframe readdress studied theoretical, practical perspectives. From perspective, th

Language: Английский

Citations

22

The Future of Research in an Artificial Intelligence-Driven World DOI

Mukta Kulkarni,

Saku Mantere, Eero Vaara

et al.

Journal of Management Inquiry, Journal Year: 2024, Volume and Issue: 33(3), P. 207 - 229

Published: Feb. 22, 2024

Current and future developments in artificial intelligence (AI) systems have the capacity to revolutionize research process for better or worse. On one hand, AI can serve as collaborators they help streamline conduct our research. other such also become adversaries when impoverish ability learn theorists, lead us astray through inaccurate, biased, fake information. No matter which angle is considered, whether we like it not, are here stay. In this curated discussion, raise questions about human centrality agency process, multiple philosophical practical challenges facing now ones will face future.

Language: Английский

Citations

20

Anticipatory innovation of professional services: The case of auditing and artificial intelligence DOI Creative Commons
Masashi Goto

Research Policy, Journal Year: 2023, Volume and Issue: 52(8), P. 104828 - 104828

Published: June 21, 2023

With the rise of artificial intelligence (AI), professional services firms (PSFs) need to innovate their adapt AI. However, traditional ad hoc innovations driven by individual professionals have limitations in incorporating new technology outside expertise. Although service R&D—an organizational function for centralized coordination strategically targeted areas—is potentially effective, studies on R&D still been scarce. This case study aims fill gap examining how PSFs can establish and utilize services, overcoming challenges AI adoption. An in-depth qualitative was conducted process which Big Four audit incorporated into external Japan 2010s. The analysis shows detailed newly created organizations advanced adoption firms. contributes literature (1) demonstrating neglected but critical role as an innovation enabler beyond existing expertise firms, (2) constructing a three-phase model evolution function, (3) suggesting significance design legitimation innovations. also expands our knowledge adoption, presenting tailored address inherent PSFs.

Language: Английский

Citations

31

Generating, Grading, and Ghosting: How Organizing Experts Shapes Expertise DOI
Pedro Monteiro

SSRN Electronic Journal, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Experts increasingly refine their expertise into specialties as they labour in and around organizations. Yet, previous research assumes that experts are organized the workplace ways passively accommodate or mirror pre-existing focuses on organizational structures codify content of experts' knowledge an encroachment. Drawing a qualitative field study aeronautical organization's engineering unit, this paper examines chart area knowledge, i.e., specialties. The findings show generative, defining contours existing catalysing formation new ones (generating). However, also encode criteria implicitly rank some forms over others, thereby reinforcing status hierarchies (grading), misalignment across renders invisible (ghosting). By showing active role shaping rather than simply housing it, contributes to our understanding development well dynamics access resources among experts. Further, reveals how misalignments multiple may impact management human capital.

Language: Английский

Citations

1

AI for marketing: Enabler? Engager? Ersatz? DOI
Sreedhar Madhavaram,

Radha Appan

AMS Review, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 11, 2025

Language: Английский

Citations

1

Exploring the impacts of generative AI on artistic innovation routines DOI Creative Commons
Wenyi Chu, David Baxter, Yang Liu

et al.

Technovation, Journal Year: 2025, Volume and Issue: 143, P. 103209 - 103209

Published: March 5, 2025

Language: Английский

Citations

1

Organizations as Algorithms: A New Metaphor for Advancing Management Theory DOI Creative Commons
Vern Glaser,

Jennifer Sloan,

Joel Gehman

et al.

Journal of Management Studies, Journal Year: 2024, Volume and Issue: 61(6), P. 2748 - 2769

Published: Jan. 17, 2024

Abstract According to the ‘Point’ essay, management research's reliance on corporate data threatens replace objective theory with profit‐biased ‘corporate empiricism’, undermining scientific and ethical integrity of field. In this ‘Counterpoint’ we offer a more expansive understanding big algorithmic processing and, by extension, see promising applications theory. Specifically, propose novel metaphor: organizations as algorithms. This metaphor offers three insights for developing innovative, relevant, grounded organization First, agency is distributed in assemblages rather than being solely attributed individuals, algorithms, or data. Second, machine‐readability serves immutable mobile base organizing decision‐making. Third, prompting programming transform role professional expertise organizational relationships technologies. Contrary no theoretical ‘end’ sight; algorithm enables scholars build innovative theories that account intricacies

Language: Английский

Citations

7

The AI of the Beholder: Intra‐Professional Sensemaking of an Epistemic Technology DOI Creative Commons
Harry Scarbrough, Yaru Chen, Gerardo Patriotta

et al.

Journal of Management Studies, Journal Year: 2024, Volume and Issue: unknown

Published: March 15, 2024

Abstract New technologies are equivocal, triggering sensemaking responses from the individuals who encounter them. As an ‘epistemic technology’ AI poses new challenges to expertise and jurisdictions of professionals. Such may be interpreted quite differently, however, depending on specialized role identities which develop within wider professional domain. We explore these intra‐professional groupings posed by through empirical study professionals playing different roles (front‐line, hybrid field‐level) in field radiology NHS England. found that sought make sense a triadic view focused interplay professional, client technology. This sensemaking, arising jurisdictional contexts, led individual perceive their agency was diminished, complemented or enhanced as result introduction AI. Our findings contribute literature professions showing how differences affect contestant.

Language: Английский

Citations

5

Automation bias in public administration – an interdisciplinary perspective from law and psychology DOI Creative Commons

Hannah Ruschemeier,

Lukas J. Hondrich

Government Information Quarterly, Journal Year: 2024, Volume and Issue: 41(3), P. 101953 - 101953

Published: June 22, 2024

Language: Английский

Citations

5