Relevant bibliographies by topics / BIG (firm)

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'BIG (firm)'

Author: Grafiati
Published: 29 July 2024
Last updated: 30 July 2024

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Journal articles on the topic "BIG (firm)"

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Farboodi, Maryam, Roxana Mihet, Thomas Philippon, and Laura Veldkamp. "Big Data and Firm Dynamics." AEA Papers and Proceedings 109 (May 1, 2019): 38–42. http://dx.doi.org/10.1257/pandp.20191001.

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We study a model where firms accumulate data as a valuable intangible asset. Data accumulation affects firms' dynamics. It increases the skewness of the firm size distribution as large firms generate more data and invest more in active experimentation. On the other hand, small data-savvy firms can overtake more traditional incumbents, provided they can finance their initial money-losing growth. Our model can be used to estimate the market and social value of data.
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Ghosh, Aloke (Al), and Subprasiri (Jackie) Siriviriyakul. "Quasi Rents to Audit Firms from Longer Tenure." Accounting Horizons 32, no. 2 (February 1, 2018): 81–102. http://dx.doi.org/10.2308/acch-52035.

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SYNOPSIS We offer an economic explanation for why audit firms oppose mandatory firm rotation. Using an innovative sample that overcomes sample selection biases, we find that fees for Big 4 audit firms increase noticeably over the audit firm's tenure. In contrast, fees for non-Big 4 audit firms decline as tenure lengthens. Using audit report lag as a proxy for audit cost, we find that audit cost declines over the audit firm's tenure, and this decline is even larger for Big 4 auditors. Our results indicate that Big 4 engagements become more profitable or earn “quasi rents” over time, which may explain why Big 4 audit firms are so opposed to firm- but not partner-rotation. Whether non-Big 4 auditors earn any quasi rents remains doubtful. Our findings suggest a need to better monitor auditor independence and audit judgments when tenure is long, especially for Big 4 auditors, because economic bonding between the audit firm and client tends to increase over time. JEL Classifications: M40; M42.
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Gul, Ferdinand A., Gaoguang (Stephen Zhou, and Xindong (Kevin Zhu. "Investor Protection, Firm Informational Problems, Big N Auditors, and Cost of Debt around the World." AUDITING: A Journal of Practice & Theory 32, no. 3 (March 1, 2013): 1–30. http://dx.doi.org/10.2308/ajpt-50462.

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SUMMARY: This paper examines the effects of investor protection, firm informational problems (proxied by firm size, firm age, and the number of analysts following), and Big N auditors on firms' cost of debt around the world. Using data from 1994 to 2006 and over 90,000 firm-year observations, we find that the cost of debt is lower when firms are audited by Big N auditors, especially in countries with strong investor protection. Second, we find that firms with more informational problems (i.e., higher information asymmetry problems) benefit more from Big N auditors in terms of lower cost of debt only in countries with stronger investor protection. JEL Classifications: G14; G15; G32; K22; M42.
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Che, Limei, Ole-Kristian Hope, and John Christian Langli. "How Big-4 Firms Improve Audit Quality." Management Science 66, no. 10 (October 2020): 4552–72. http://dx.doi.org/10.1287/mnsc.2019.3370.

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This paper studies whether and how Big-4 firms provide higher-quality audits than non-Big-4 firms. Specifically, we first examine a Big-4 effect and then explore three sources of the Big-4 effect. To test the Big-4 effect, we use a unique data set of individual audit partners for a large sample of private companies and a novel research design exploiting the fact that auditees may follow the auditor who switches affiliation from a non-Big-4 firm to a Big-4 firm. Thus, we compare audit quality and audit fees of the same partner–auditee pairs before and after the switch. The results show that the Big-4 effect exists in the private-firm segment. More important, we find evidence for three sources of the Big-4 effect. First, Big-4 firms are able to recruit non-Big-4 partners who deliver higher audit quality than other non-Big-4 partners in the preswitch period. Second, enhanced learning has taken place after the switch. Third, the increased audit quality can also be attributed to stronger incentives/monitoring. These are new findings to the literature. This paper was accepted by Suraj Srinivasan, accounting.
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E. Prescott, Michael. "Big Data: Innovation and Competitive Advantage in an Information Media Analytics Company." Journal of Innovation Management 4, no. 1 (May 4, 2016): 92–113. http://dx.doi.org/10.24840/2183-0606_004.001_0007.

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The advent of technology has allowed for the capture of large volumes of data from a variety of sources. This has led to an ever-increasing number of firms collecting large amounts of data with the belief that this will give the firm an advantage over its competitors. However, the question is, does big data by itself really lead to firm advantage? And if not, how can firms gain an advantage from big data? This paper investigates the role that big data plays in innovation and firm advantage. Using the Resource-Based View and Dynamic Capabilities framework, this paper looks at how a firm can gain an advantage from big data. Through the analysis of a case-study concerning a global information/media analytics company, this paper provides an example of how to build a capability in Digital Data Generation that can lead to improved product or service innovation, and possibly help a firm gain an advantage over its competitors.
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Cannon, Nathan H., David N. Herda, and Thomas M. Puffer. "Big 4 Alumni's Attitudes and Behavior Toward their Former Firm." Current Issues in Auditing 14, no. 1 (October 22, 2019): P10—P15. http://dx.doi.org/10.2308/ciia-52642.

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SUMMARY This article summarizes a recently published academic study (Cannon, Herda, and Puffer 2019) that examines factors associated with Big 4 alumni's proclivity to benefit their former firm by recommending the firm to others as a potential service provider or employer (i.e., post-employment citizenship). Based on social exchange theory, our study predicts and finds that alumni who perceive their firm treated them fairly and supported them during their time with the firm are more committed to the firm, and therefore more likely to engage in post-employment citizenship. Although we find that firm commitment decreases after individuals exit the firm, our results suggest that the firm's alumni outreach efforts (both formal and informal) can help soften this decline. Practical implications for audit firms are discussed.
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Anwar, Muhammad, Sher Zaman Khan, and Syed Zulfiqar Ali Shah. "Big Data Capabilities and Firm’s Performance: A Mediating Role of Competitive Advantage." Journal of Information & Knowledge Management 17, no. 04 (December 2018): 1850045. http://dx.doi.org/10.1142/s0219649218500454.

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Big data (BD) capabilities have now grabbed the attention of strategic management researchers because of their significant role in firm’s performance and success. Nonetheless, very little empirical evidence has so far been put forward about the contribution of BD capabilities towards a firm performance and Competitive Advantage (CA). This research examines the impact of Big Data Technological Capabilities (BDTC) and Big Data Personal Capabilities (BDPC) on firms’ performance with a mediating role of CA among the firms operating in the world’s top emerging economy such as China. Data were collected through structured questionnaires using a sample size of 312 firms. The hypotheses were tested in AMOS.21 using Structural Equation Modelling (SEM). The results indicate that BDTC and BDPC have significant positive impact on firm performance and CA and there is also significant positive relationship between CA and firm performance. The study highlights that CA partially mediates the relationship between BDTC and firm performance as well as between BDPC and firm performance. Hence, BD-oriented firms achieve CA which in turn leads to superior performance in dynamic markets. This study discussed implications for managerial practices.
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Morris, Roselyn E., and Jerry R. Strawser. "An Examination of the Effect of CPA Firm Type on Bank Regulators' Closure Decisions." AUDITING: A Journal of Practice & Theory 18, no. 2 (September 1, 1999): 143–58. http://dx.doi.org/10.2308/aud.1999.18.2.143.

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This study examines the effect of CPA firm type on regulators' decisions with respect to the closure of banks. Using a sample of 116 closed and 116 nonclosed banks in the state of Texas during 1990–1991, we estimate regression models which include (1) financial characteristics of the sample banks, (2) other characteristics of the sample banks, (3) the type of auditor's opinion received by the bank (with respect to the bank's ability to continue as a going concern), and (4) the CPA firm type (Big 6 vs. non-Big 6). Our results indicate that banks receiving modified opinions from Big 6 firms were more likely to be continued (not closed) by regulators than those receiving modified opinions from non-Big 6 firms. In contrast, banks receiving nonmodified opinions from non-Big 6 firms were more likely to be closed than those receiving nonmodified opinions from Big 6 firms. These findings indicate that, ceteris paribus, banks audited by Big 6 firms are more likely to be continued, consistent with regulators' perceptions that economic reporting incentives may result in Big 6 firms being more likely to modify their opinions to reflect going-concern uncertainties.
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Wu, Chuanrong, Xiaoming Yang, Veronika Lee, and Mark E. McMurtrey. "Influence of Venture Capital and Knowledge Transfer on Innovation Performance in the Big Data Environment." Journal of Risk and Financial Management 12, no. 4 (December 12, 2019): 188. http://dx.doi.org/10.3390/jrfm12040188.

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Technological innovation requires large investments. Venture capital (VC) is a prominent financial source for innovative start-ups. A venture capitalist will inevitably transfer knowledge to facilitate the innovation of a firm while monitoring and advising its portfolio companies. Only when a firm has its own valuable new knowledge and high growth potential would venture capitalists select it. At the same time, big data knowledge, such as customer demands and user preferences, is also important for the new product development of a firm in the big data environment. Therefore, private knowledge transferred from venture capitalists, new knowledge developed independently by a firm itself, and big data knowledge are the three main types of knowledge for venture-backed firms in the big data environment. To find the influences of VC and knowledge transfer on the innovative performance of venture-backed firms, a model of maximizing the present value of the expected profit of new product innovation performance of a venture-backed firm in the big data environment is presented. The model can help venture capitalists to determine the scale of investment and the optimal exit time and predict the internal rate of return (IRR). This model can also help innovative start-ups to illustrate the value and prospects of a project to attract investment in their business prospectus.
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Shao, Xu. "An Empirical Study of the Role of Big Data Analytics in Corporate Decision Making." Journal of Global Information Management 31, no. 6 (April 13, 2023): 1–19. http://dx.doi.org/10.4018/jgim.321176.

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Bounded rationality prevents firms from achieving their full potential. However, intelligent solutions can help eliminate bias in decision making. This study examines whether biases diminish or disappear when novel and powerful digital resources, such as big data analytics, are applied in management practice. The authors use a massive matched database of 1,942 large Chinese firms to find significant and positive effects of data processing frequency on high-level metrics of rational decision-making outcomes, such as productivity and profitability. Moreover, the increase in between-firm variance is the result of both differences in firm characteristics and a widening gap in their workflows and coordinating mechanisms. Heterogeneity can effectively explain 13.18% of the marginal effect of big data analytics on firm metrics, such as productivity and profitability. The results also indicate that the human capital of the C-suite partially mediates the link between big data analytics and firm performance.
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Dissertations / Theses on the topic "BIG (firm)"

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Pastra, Panayiota. "A descriptive theory of the big accounting firm." Thesis, University of Strathclyde, 2003. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=21532.

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This is an accounting dissertation, whose subject is the type of firm that dominated accounting developments in the UK and the US for most of the 20th century. Its focus is theory creation and most of the dissertation exposition does not focus on the theory per se. Instead, most of the exposition is devoted to communicating the pathway of the reflexive interpretation of the empirical materials relied on. Thus, the last chapter is the theory chapter, as it is the culmination and conclusion of theory creation. Theory creation relied on a qualitative research methodology (bricolage) that combined a specific concept of reflexivity, developed by Alvesson and Skèoldberg (2000) with a specific approach to engaging with empirical materials developed by Strauss and Corbin (1990). The empirical materials were drawn from three types of sources referencing the big accounting firms, academic research, the histories commissioned by the big firms and the intermittent disclosures of quantity 'stories' about the commercial operations of the firm. The theory created is an assembly of constructed concepts synthesising the various levels of reflexive interpretation of the empirical materials. It communicates a different vision of the firms; they are seen as a type of capitalist firm that has at least six enduring characteristics, all related to commercial action. These are capital management services production, client-focussed geographical orientation, partnership form, ethnic affiliation, prestige and knowledge base.
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Ivarsson, Linus, and Rickard Johansson. "ACQUIRING “BIG” KNOWLEDGE : RAISING AWARENESS OF PITFALLS." Thesis, Uppsala universitet, Företagsekonomiska institutionen, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-175932.

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This report highlights the complexity of engaging in a post-acquisition integration process of a relatively large knowledge-intensive firm. Findings from a case study is analyzed in relation to previous theory, resulting in four propositions aiming at creating a foundation for further theory development, as well as increased understanding among practitioners in relation to the emphasized problem. It is argued by the authors that increased relative acquisition size of knowledge-intensive firms will: 1) increase demand for a centralized organizational structure, 2) decrease benefits of introducing a new top management, 3) decrease communicative attention towards lower levels, and 4) decrease attention towards subcultures. These factors will ultimately increase the risk for integration failure.
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Bunpuckdee, Bhadin, and Ömer Tekbas. "Ideation with Big Data : A case study of a large mature firm." Thesis, KTH, Maskinkonstruktion (Inst.), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-277732.

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Big Data has in recent years gained much attention and interest from organizations. The rise of recent technologies has enabled data to be processed and stored in a simpler manner, thus asking organizations what value Big Data can bring to the organization. However, collecting Big Data does not automatically generate business opportunities; organizations need to understand how to process Big Data and how to implement the insights. To enable this, new competences are needed, and firms need to adapt into more co-innovated constellations. The purpose of this study is to investigate what innovation processes a team data-expert team working cross-functional uses to ideate possible business opportunities. Furthermore, the aim is to propose recommendations of how an organization can become more efficient when ideating. The case study was carried out for a large established company within Auditing and more specifically in a support department with expertise in data analytics, automation and artificial intelligence. The data was collected through internal interviews within the department, Department A. The case study resulted in recommendation of what to consider when ideating with Big Data. Key aspects to consider is that Big Data enables co-innovation to prosper and therefore conjoining customers, domain experts and Big Data experts is crucial for successful Ideation. Moreover, an understanding of different innovation aspects will thus help organizations understand how to ideate with Big Data more efficiently.
Big Data har under senaste åren fått mycket uppmärksamhet. Utvecklingen av olika teknologier har möjliggjort att en stor mängd data kan behandlas och förvaras enklare. Detta har gjort att företag har funderat över hur Big Data kan vara värdeskapande. Däremot är det inte självklart att Big Data automatiskt genererar affärsmöjligheter; företag måste förstå hur man ska förädla data och implementera insikterna. För att möjliggöra detta måste nya kompetenser införskaffas och företag måste anpassa sig till en mer medskapande arbetsstruktur. Detta arbetets ändamål är att undersöka vilka innovationsprocesser en avdelning med data-experter som jobbar tvärfunktionellt i en organisation använder för att idégenerera för nya affärsmöjligheter. Målet är att ge rekommendationer hur företag kan bli mer effektiva vid idégenerering. Denna fallstudie utfördes för ett stort etablerat företag inom revision och inom en avdelning med expertis inom dataanalys, automation och artificiell intelligens. Datan i denna rapport införskaffades genom interna intervjuer från på avdelningen A. Fallstudien resulterade i rekommendationer på vad som behövs att ha i åtanke vid idégenerering med Big Data. Viktiga aspekter att överväga är att Big Data möjliggör medskapande och därför är det ytterst viktigt att kunder, domänexperter och Big Data experter idégenererar tillsammans.
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Sheng, Jie. "Managing big data from the crowd : strategic firm engagement with online social interactions." Thesis, University of Bristol, 2018. http://hdl.handle.net/1983/0fffae64-51e3-4da2-83f6-e5fd7d4b1bcc.

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In today’s digital economy, information sharing has become common practice and significantly influences individuals’ behaviours and preferences. The interactive and participative environment fosters customer engagement in voicing and communicating in the virtual network. The sheer amount of user-generated content from online social interactions offers intriguing opportunities for businesses to develop sustainable competitive advantages; yet, how firms can create value by managing and capitalising on crowd voices remains an under-explored facet of big data research. This thesis discusses strategies for firms to engage in the online social interaction network so as to improve performance and achieve competitive advantages. The developed holistic framework for strategic firm engagement articulates three distinct but non-mutually exclusive roles of firms in the online communication network: observer, participant and strategic leader. Correspondingly, three studies are designed to examine business impacts of these firm engagement roles using a large-scale data set of over 800,000 online customer reviews and over 360,000 online managerial responses of London hotels. The first study investigates the observer role and validates an analytical strategy for mining customers’ textual reviews and exploiting the discovered knowledge to improve service quality. The second study considers the participant role and explores how firms respond to customer reviews and the efficacy of different response styles in future rating improvement. The third study examines the strategic leader role by testing the effects of firms being present and active online in stimulating customer engagement behaviour. Findings from the empirical studies demonstrate the strategic value of firm engagement in the online social interaction network. This thesis contributes to big data research, strategy and marketing literature in terms of strategising big data from the crowd by developing data-driven strategies. It also offers practical insights into strategic planning for businesses engaging in online social interactions.
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Cambanis, Miltiades. "Leadership roles, attitudes, and competencies required to develop firm-level dynamic capabilities enabling transition from SME to big business." Diss., University of Pretoria, 2017. http://hdl.handle.net/2263/59751.

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Small and medium sized enterprises suffer from high rates of business discontinuance largely due to leadership incompetence. The consequences of the inability of leaders to establish viable business propositions and sustainable competitive advantage extend beyond firm-level competiveness and are a matter of macroeconomic prosperity. The purpose of this study was to contribute to the academic conversation on dynamic managerial capabilities by specifically focussing on the first attribute that underpins the concept: human capital. Moreover, the purpose of this study was to identify specifically what roles, attitudes, and competencies leaders require to more effectively develop firm-level dynamic capabilities enabling transition from SME to big business. A two stage inductive exploratory methodology was adopted enabling data collection from a pre-qualified sample of 12 prominent entrepreneurs. The first stage of data collection was a qualifying questionnaire and the second stage involved primary data collection by means of in-person semi structured interviews. The key outcomes of this study are that as businesses grow and transition, leaders need to adopt the right roles, have the right attitudes, acquire the right competencies, and be mindful of external enablers and inhibitors in order to develop dynamic capabilities that with effectively transition them from SME to big business.
Mini Dissertation (MBA)--University of Pretoria, 2017.
ms2017
Gordon Institute of Business Science (GIBS)
MBA
Unrestricted
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Andersson, Linn, and Elin Österberg. "Resurser i icke Big 4 byråer : En studie ur ett revisionskvalitetsperspektiv." Thesis, Högskolan Kristianstad, Sektionen för hälsa och samhälle, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-16943.

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Revisionskvalitet är ett återkommande ämne i såväl forskning som i media. Forskare belyser olika faktorer som påverkar revisionskvalitet och den här studien fokuserar på resurser. Majoriteten av tidigare forskning om revisionskvalitet har Big 4 byråer som utgångspunkt. För att skapa bättre förståelse för hela revisionsprofessionen studeras därför en mindre byrå i den här studien. Syftet är att utforska resurser för revisorer på icke Big 4 byråer, utifrån ett revisionskvalitetsperspektiv. Studien har både deduktiva och induktiva inslag där det deduktiva inslaget utgörs av en teoretisk referensram som ligger till grund för studien. Det induktiva inslaget har gjort det möjligt att studera resurser dels utifrån tillgången till, men även bristen på och användningen av resurser i icke Big 4 byråer. Det har även gjort det möjligt att lägga till ett ytterligare perspektiv då empirin påvisade faktorer som inte identifierats innan datainsamlingen påbörjades. Studiens empiri består till stor del av primärdata från deltagande observationer, men även från semistrukturerade intervjuer. Resultatet visar att revisorerna på Revisionsbyrå A har tillgång till, och använder, samtliga resurser som tidigare forskning visat påverka revisionskvalitet positivt. Resultatet visar även tre nyfunna resurser som tillhör det nyfunna kapitalet materiellt kapital, och även de resurserna har en positiv påverkan på revisionskvalitet. Slutsatsen är att revisorerna på Revisionsbyrå A, utifrån dess tillgång till resurser, kan leverera hög revisionskvalitet. Studiens resultat är baserat på empiri från en mindre byrå och det teoretiska bidraget kompletterar tidigare forskning om revisionskvalitet i Big 4 och icke Big 4 byråer. Resultatet av studien är även ett bidrag till revision och revisionskvalitet praktiskt och empiriskt.
Audit quality is a reoccurring field in both research and media. Researchers highlight different factors that affect audit quality and this study focuses on resources. The majority of previous research of audit quality have Big 4 firms as their starting-point. In order to gain a better understanding of the entire audit profession, a smaller firm is the focus of this study. The purpose is to explore resources for auditors in non-Big 4 firms, from an audit quality perspective. The study has both deductive and inductive characteristics; the deductive characteristics are visible through a theoretical framework that functions as a foundation for the study. The inductive characteristics have made it possible to research the resources through both the access to, yet also the lack of, as well as the use of resources in non-Big 4 firms. It has, moreover, made it possible to add another perspective since the empirical data showed factors that had not been identified before the data collection was initiated. The empirical data of this study consists to a large extent of primary data from observations, but also of data from semi-structured interviews. The results show that auditors at Audit Firm A have access to, and use, all the resources that previous research had shown to affect audit quality in a positive way. Moreover, the results show two new resources that belongs to the newly found capital called material capital, and these resources does also have a positive effect on audit quality. The conclusions drawn are that auditors at Audit Firm A can, with respect to their access to resources, deliver high quality audit. The results of the study is based on empirical data from a smaller firm and the theoretical contribution complements previous research of audit quality in Big 4 and non-Big 4 firms. Moreover, the results is also a contribution to audit and audit quality both practical and empirical.
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Dutt, Hephzibah D. "Big Cheap Mysticism: Postmodernism and Theology in Erik Ehn's The Saint Plays." Bowling Green State University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1214194614.

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Stenger, Sébastien. "« Pourquoi travaille-t-on dans un cabinet d’audit « Big Four»? : Fonctions du système «up or out» : contrôle, compétition et prestige social »." Thesis, Jouy-en Josas, HEC, 2015. http://www.theses.fr/2015EHEC0002.

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Ce travail propose de s’intéresser au système « up or out » des cabinets d'audit Big Four à partir de données qualitatives (interviews et observations participantes in situ). La question de recherche initiale consiste à interroger les logiques de l’engagement des auditeurs dans un cabinet d’audit Big Four. Nous montrons d’abord que les carrières dans les cabinets Big Four sont contraignantes et incertaines car l’auditeur doit agir comme un entrepreneur de sa réputation subissant des logiques sociales incontrôlables (dynamique de la disproportion, des cercles vertueux et vicieux, des homologies d'appariement). Nous montrons dans un deuxième temps que derrière une rhétorique individualiste (la rémunération, la carrière), l'expérience du cabinet a une fonction de distinction et d’auto-affirmation qui donne aux individus le sentiment d’appartenir à une élite sélective. Le système « up or out » est présenté comme un argument scénique permettant de distribuer des prestiges différenciés. Enfin nous analysons les effets du système « up or out » sur les carrières morales des individus. Nous montrons comment le rapport au travail se reconfigure au fur et à mesure de la confirmation ou non de la promesse de carrière et nous distinguons trois figures de cette reconversion : l’intégré-distancié, le forfait et le jobard
This work proposes to focus on the "up or out" system in the 'Big Four' audit firms through qualitative data, interviews and on site participant observation. The initial research question is to understand the logic of auditors’ involvement in a Big Four audit firm. We first show that careers in the Big Four firms are demanding and uncertain since each auditor must act as an entrepreneur of his reputation undergoing uncontrollable social logics (disproportion dynamic, virtuous and vicious cycles, homologies of pairing). We then show that behind an individualistic rhetoric (career advancement, salary) practicing in such a firm has a function of distinction and self-affirmation, which gives individuals the sense that they belong to a selective elite. The "up or out" system is presented as a theatrical argument for attributing differentiated prestige. Finally, we analyze the effects of the "up or out" system on individuals’ moral careers. We show how the relationship to work is reconfigured depending on whether the promised career is confirmed or not and we distinguish three figures in this conversion: the integrated-detached, the looser and the withdrawing
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Holm, Amanda, and Lisa Wahrer. "Könets påverkan på revisionsarvodet : En studie utifrån påskrivande revisor, styrelse och VD." Thesis, Högskolan Kristianstad, Sektionen för hälsa och samhälle, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-16906.

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Pricing of audit fees is based on several factors that are assignable both to the professional pricing and the strategic pricing. There are few studies that have observed whether gender can affect the audit fee and the differences in characteristics identified in previous studies underlie gender impact. The purpose of the study is to explain whether any correlation between gender and audit fees exists and the study is based on the gender of the signatory auditor, the gender composition of the board of the audit firm and the CEO of the audit firm. The theories that promote the study are: agency theory, socialization theory regarding gender role and social role theory and they are relevant because the agency theory can be connected to the audit fee while the other two can be linked to differences in characteristics between men and women. A survey of all Swedish companies listed on the Nasdaq Nordic lists for small, medium and large companies has been executed. The method used for collecting data is document study, where the annual reports of the companies have been used. The conclusion of the study is that the gender of the signatory auditor, the proportion of women in the audit firm's board and the gender of the CEO's are unlikely to affect the audit fee. A contribution to future research is to study the audit team and the auditor responsible, who in practice is more involved in the auditing.
Prissättning av revisionsarvode bestäms utifrån en rad faktorer som är hänförliga både till den professionella prissättningen och den strategiska prissättningen. Få studier har tidigare studerat om kön kan vara ytterligare en faktor som inverkar på revisionsarvodet och de skillnader i karaktärsdrag som identifierats i tidigare studier ligger till grund för könets påverkan. Syftet med studien är att förklara om det föreligger något samband mellan kön och revisionsarvodet, där studien utförs utifrån den påskrivande revisorns kön, könssammansättningen i revisionsbyråns styrelse samt revisionsbyråns VD. De teorier som ligger till stöd för studien är: agentteori, socialisationsteori avseende genderroll samt social rollteori som är relevanta eftersom agentteorin kan kopplas till revisionsarvodet medan de andra två kan kopplas till skillnader i karaktärsdrag mellan kvinnor och män. En totalundersökning av svenska bolag noterade på Nasdaq:s nordiska listor för små, medelstora och stora bolag har genomförts. Metoden som använts för att samla in data är dokumentstudier där bolagens årsredovisningar legat som utgångspunkt.  Slutsatsen som kan dras av studien är att den påskrivande revisorns kön, andel kvinnor i revisionsbyråns styrelse samt könet på revisionsbyråns VD sannolikt inte har en inverkan på revisionsarvodet. Ett bidrag till framtida forskning är att studera revisionsteamet och den ansvarige revisorn som i praktiken är mer involverad i utförandet av revisioner.
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Agné, Alvin, and Maiju Ruokanen. "Revisionsbyråers kvalité: en studie om Going Concern-varningar och anmärkningar på finansiell stress." Thesis, Mittuniversitetet, Institutionen för samhällsvetenskap, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-14132.

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Träffsäkerheten på Going Concern-varningar (GC-varningar) internationellt sett är låg, 40 procent, men enligt tidigare studier är den lägre i Sverige, under 20 procent. De fyra största revisionsbyråerna i världen, Big four, marknadsför sig med sin branschkännedom och flera studier pekar på att de har högre revisionskvalité än mindre byråer. Samtidigt finns det studier som visar att det inte finns någon skillnad på kvalitén mellan de fyra största och de mindre byråerna. Syftet med denna studie är att pröva om stora byråer har högre kvalité än medelstora och små byråer och om det finns skillnader mellan de enskilda byråerna inom respektive storlekskategori. Revisionskvalité mäter vi i form av GC-varningar och anmärkningar på finansiell stress (eget kapital understiger hälften av aktiekapitalet). Studien är kvantitativ och våra data omfattar 4718 aktiebolag, varav 1809 är finansiellt stressade, som gick i konkurs 2010. Genom Chi 2 test ser vi att träffsäkerheten på GC-varningar ligger på 17 procent och anmärkningar på finansiell stress på 82 procent. På samma sätt men med ytterligare hjälp av sambandsstyrka genom P-värden har vi kommit fram till våra andra resultat. Det finns ett väldigt starkt samband mellan andelen GC-varningar och storleken på byrån. Det finns även ett väldigt starkt samband mellan andelen GC-varningar och byrå inom kategorin stora byråer, ett visst samband inom kategorin medelstora byråer men inget samband inom kategorin små byråer. Det finns inget samband mellan andelen anmärkningar på finansiell stress och storleks-kategori eller mellan byråerna inom de olika kategorierna. Enligt vårt resultat har stora byråer högre revisionskvalité än medelstora och små byråer gällande GC-varningar, men vi finner inga skillnader mellan storlekskategorierna gällande anmärkning på finansiell stress. Vi finner även att kvalité med avseende på GC-varningar inte är homogen mellan de enskilda byråerna inom respektive storlekskategori. Våra slutsatser är att träffsäkerheten på GC-varningar är låg, men skulle kunna öka om revisorn kompletterar svårbedömd information med verifierbar information samt att etablerade metoder för GC-bedömningar infördes. Revisionskvalitén inom stora byråer är inte homogen, vilket kan bero på att de enskilda byråerna inom kategorin använder olika arbetssätt, som medför kvalitetsskillnader.
The international accuracy of Going Concern-warnings (GC-warnings) is as low as 40 percent, although studies show the accuracy is even lower in Sweden, under 20 percent. The four biggest accounting firms in the world advertise their knowledge of industry and a number of studies say that they have higher audit quality than the smaller firms. Meanwhile there are studies that claim that there are no differences in quality between them and the smaller firms. In this study we aim to test if the large firms have higher auditing quality than the medium and small firms and to test if there is any difference within the three categories. We measure quality as GC-warnings and a remark on financial stress (a remark on the equity being lower than 50 percent of the share capital). The study is quantitative and our data consists of 4718 limited companies, and 1809 financially stressed limited companies, which went bankrupt 2010. We measured the GC-warning accuracy to 17 percent and the remark on financial stress to 82 percent by using a Chi square test. We used the same test but added P-value to check the strength on the rest of the results. There is a very strong connection between the share of GC-warnings and the size of the accounting firm. There is also a very strong connection between the share of GC-warnings and the different firms within the large category. However there was only a weak connection between the different firms within the medium size and no connection at all within the small category. There is no connection at all between remarks on financial stress and either the firm size or within the firm size categories. According to our results, large audit firms have higher audit quality than medium and small firms concerning GC-warnings, but there are no differences between and within the categories concerning remarks on financial stress. We also find that quality concerning GC-warnings is not homogeneous between the different audit firms within each category. Our conclusions are that the accuracy on GC-warnings is low but it could increase if the auditors complement imponderable information with verifiable information and if methods for GC-judgments were established. The audit quality within large firms is not homogeneous which may be due to that the different audit firms within the categories use different ways to work, which causes differences in audit quality.
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Books on the topic "BIG (firm)"

1

Group, BIG Bjarke Ingels, ed. The BIG Lab. København: Arkitektens Forlag, 2010.

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Magasanik, Jan. BIG. Edited by Galerie architektury (Brno Česko) and BIG Bjarke Ingels Group. Praha: Jaroslav Fragner Gallery, 2006.

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(Firm), BIG-GAME, ed. Big-Game: Design overview. Oostkamp: Stichting Kunstboek, 2008.

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Burgess, David, Daniel K. Gelb, David M. Jellinek, and Allyson E. Kurker. Tools & technology to deliver big firm results on a small firm budget. Boston, MA: MCLE New England, 2013.

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Thorsten, Beck, and World Bank, eds. Finance, firm size, and growth. [Washington, D.C: World Bank, 2005.

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Beck, Thorsten. Financial and legal institutions and firm size. Washington, D.C: World Bank, 2003.

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Parvin Hosseini, Seyed Mehrshad, and Aydin Azizi. Big Data Approach to Firm Level Innovation in Manufacturing. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6300-3.

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Galanter, Marc. Tournament of lawyers: The transformationof the big law firm. Chicago: University of Chicago Press, 1991.

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Spector, Robert. Amazon.com: Get big fast. New York: HarperBusiness, 2002.

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Thomas, Steven. Big Biba: Inside the most beautiful store in the world. Woodbridge [England]: Antique Collectors' Club, 2006.

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Book chapters on the topic "BIG (firm)"

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Hodder, Rupert. "Firm, Market, and Organization." In Small Business, Big Society, 83–98. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8875-9_6.

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Backman, Michael, and Charlotte Butler. "Know the Firm, Know the Family: Dealing with Asian Family Firms." In BIG in Asia, 14–23. London: Palgrave Macmillan UK, 2003. http://dx.doi.org/10.1057/9781403914484_2.

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Vuojela, Juho, and Alberto Rascon. "Too Big to Fail Applied to Non-Financial Companies." In Resilienz durch Organisationsentwicklung, 315–36. Wiesbaden: Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-36022-1_13.

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AbstractThis chapter develops a methodology to evaluate if a non-financial firm is “too big to fail” moreover we tested and applied the approach to 3 large European firms. The methodology consists in using the principles of the special regulation of financial firms in the USA plus a brief qualitative analysis. According to our analysis: Volkswagen Group is structurally “too big to fail” as many employments in Germany (and the world) depend on the continuity of its operations, Royal Dutch Shell is indirectly “Too big to fail” as its bankruptcy could collapse the London Stock Exchange, finally we believe that Anheuser-Busch InBev is not “Too big to fail” as the firm is rather a collection of firms that one entity.
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Backman, Michael, and Charlotte Butler. "Managing the Partnership with the Southeast Asian Firm." In BIG in Asia, 90–102. London: Palgrave Macmillan UK, 2003. http://dx.doi.org/10.1057/9781403914484_8.

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Parvin Hosseini, Seyed Mehrshad, and Aydin Azizi. "Firm-Level Innovation: A Conceptual Model to Firm Level Innovation." In Big Data Approach to Firm Level Innovation in Manufacturing, 27–39. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6300-3_3.

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Ertz, Myriam, Shouheng Sun, and Imen Latrous. "The Impact of Big Data on Firm Performance." In Advances in Digital Science, 451–62. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71782-7_40.

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Oliveira, Renata, Ana Camanho, and Andreia Zanella. "Eco-efficiency Assessment at Firm Level: An Application to the Mining Sector." In Studies in Big Data, 149–57. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24154-8_18.

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Parvin Hosseini, Seyed Mehrshad, and Aydin Azizi. "The Correlates of Firm-Level Innovation." In Big Data Approach to Firm Level Innovation in Manufacturing, 13–26. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6300-3_2.

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Hamad, Mua’th J., and Mohammed M. Yassin. "Cloud ERP Systems and Firm Performance." In Digital Economy, Business Analytics, and Big Data Analytics Applications, 167–75. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05258-3_15.

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AlMomani, Kamelia Moh’d Khier, Belal Mahmoud AlWadi, and Sameer Al-Wadi. "The Nexus of Intellectual Capital and Firm Performance: Evidence from Jordanian Pharmaceutical Companies." In Studies in Big Data, 173–85. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-42455-7_16.

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Conference papers on the topic "BIG (firm)"

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Kee, Taeyoung. "Peer Firm Identification Using Word Embeddings." In 2019 IEEE International Conference on Big Data (Big Data). IEEE, 2019. http://dx.doi.org/10.1109/bigdata47090.2019.9006438.

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Ishikawa, Atushi, Shouji Fujimoto, Takayuki Mizuno, and Tsutomu Watanabe. "The relation between firm age distributions and the decay rate of firm activities in the united states and Japan." In 2015 IEEE International Conference on Big Data (Big Data). IEEE, 2015. http://dx.doi.org/10.1109/bigdata.2015.7364073.

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Zheng, Senyuan, Vincent CS Lee, and Zhaolin Guan. "SFPAD: Sentiment-driven Firm Pricing Anomaly Detection Algorithm and Application." In 2022 IEEE International Conference on Big Data (Big Data). IEEE, 2022. http://dx.doi.org/10.1109/bigdata55660.2022.10020562.

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Ishikawa, Atushi, Shouji Fujimoto, and Takayuki Mizuno. "Nowcast of firm sales using POS data toward stock market stability." In 2016 IEEE International Conference on Big Data (Big Data). IEEE, 2016. http://dx.doi.org/10.1109/bigdata.2016.7840887.

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Stinson, Monique, and Abolfazl Kouros Mohammadian. "Modeling Firm Transportation Strategy using Big Text Data." In 2020 Forum on Integrated and Sustainable Transportation Systems (FISTS). IEEE, 2020. http://dx.doi.org/10.1109/fists46898.2020.9264878.

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Sun, Yanan, Peiqin Zhang, and Jinhua Fei. "CEO Turnover, Network Effects, and Firm Performance." In 2020 5th IEEE International Conference on Big Data Analytics (ICBDA). IEEE, 2020. http://dx.doi.org/10.1109/icbda49040.2020.9101323.

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"BIG DATA ANALYTICS AND FIRM PERFORMANCE: A TEXT MINING APPROACH." In International Management Conference. Editura ASE, 2020. http://dx.doi.org/10.24818/imc/2020/03.08.

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Mgalla, Mwanaidi, and Hefa Gui. "The Impact of China’s Stock Market Openness on Firm Innovation." In 3rd International Conference on Economic Management and Big Data Application. WORLD SCIENTIFIC, 2024. http://dx.doi.org/10.1142/9789811270277_0104.

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Subrahmanyam, Satya, N. S. Aishwaryalaxmi, Danielle Khalife, Irfan Abdul Karim Shaikh, Rajesh Faldu, and Nidhi Asthana. "Impact of Knowledge Management and Big Data Analytics Capabilities on Firm Performance." In 2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM). IEEE, 2024. http://dx.doi.org/10.1109/iconstem60960.2024.10568874.

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Ulrich, Patrick, and Felix Stockert. "Family offices as a new form of family business governance." In Corporate governance: Theory and practice. Virtus Interpress, 2022. http://dx.doi.org/10.22495/cgtapp15.

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Family firms form the majority of companies in almost every country in the world. The organization of the founding families, however, does not play a big role in corporate governance theory and practice. German family firms have created a relatively new form of family firm governance and organization: the family office. This specific form of organization deals with family organization, financial assets, and general family consulting
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Reports on the topic "BIG (firm)"

1

Farboodi, Maryam, Roxana Mihet, Thomas Philippon, and Laura Veldkamp. Big Data and Firm Dynamics. Cambridge, MA: National Bureau of Economic Research, January 2019. http://dx.doi.org/10.3386/w25515.

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Liu, Mengxiao, and Daniel Trefler. What's the Big Idea? Multi-Function Products, Firm Scope and Firm Boundaries. Cambridge, MA: National Bureau of Economic Research, September 2019. http://dx.doi.org/10.3386/w26320.

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Bajari, Patrick, Victor Chernozhukov, Ali Hortaçsu, and Junichi Suzuki. The Impact of Big Data on Firm Performance: An Empirical Investigation. Cambridge, MA: National Bureau of Economic Research, February 2018. http://dx.doi.org/10.3386/w24334.

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Chisari, Omar O., and Sebastián J. Miller. Does Firm Heterogeneity Impact the Effectiveness of Carbon Taxes? Experiments in Argentina and Mexico. Inter-American Development Bank, August 2014. http://dx.doi.org/10.18235/0011655.

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This paper examines the effectiveness of carbon taxes on macroeconomic performance when manufacturing firms have the opportunity to change their scale of operation and degree of formality. The hypothesis is that when tax evasion or elusion is possible, it cannot be ruled out that emissions increase rather than decrease due to the reallocation of resources from the rest of manufacturing towards informal small-scale firms. When informality is high, industry could adapt to carbon taxes by reducing the scale of operation of big firms and increasing the number of small firms. However, when taxes are enforceable in all types of firms, there is a cost in terms of GDP and employment, since small-scale firms are more labor intensive. For numerical experiments, two CGE models calibrated for Argentina and Mexico are used. The 'domestic leakage' is found to be more relevant for Argentina than for Mexico.
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Sharp, Matthew. Revisiting digital inclusion: A survey of theory, measurement and recent research. Digital Pathways at Oxford, April 2022. http://dx.doi.org/10.35489/bsg-dp-wp_2022/04.

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Focusing on the internet as a foundational technology, this paper begins by summarising recent developments in digital inclusion theory, particularly as this relates to developing countries. It sets out a framework of core components of digital inclusion - including ac-cess/use, quality of access/use, affordability, and digital skills - and briefly considers policy implications. The paper then surveys the ways these components are currently measured in household and firm surveys and by international organisations, highlighting some of the often-overlooked weaknesses of current measures, and suggesting possible improvements. The paper also reflects on potential applications of (and risks associated with) new ways of measuring digital inclusion using big data. Lastly, building on the framework developed, the paper reviews the empirical literature on ‘digital divides’ in developing countries, and makes suggestions for how future research could become more rigorous and useful.
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Gallego, Juan Miguel, and Luis H. Gutiérrez. ICTs in Latin American and the Caribbean Firms: Stylized Facts, Programs and Policies: Knowledge Sharing Forum on Development Experiences: Comparative Experiences of Korea and Latin America and the Ca. Inter-American Development Bank, July 2015. http://dx.doi.org/10.18235/0007003.

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Adoption of information and communication technologies (ICTs) has been slow in Latin American and the Caribbean (LAC) countries and is not widespread. There is a digital divide between and within countries, including a digital gap in firms' adoption of ICTs. Large and medium-sized enterprises generally have access to the Internet, but adoption of advanced ICTs is low for all firms in these economies, and small and micro enterprises lag way behind. The backwardness in ICT adoption is exacerbated when only a small fraction of society has high connectivity broadband. Thus the digital infrastructure remains weak despite regional governments' promotion of a digital agenda. Bolder programs are needed. The success of public initiatives requires a competitive environment for internet and telecom service providers as well strong participation of the private sector and public-private partnerships. In particular, the engagement of large firms is necessary to increase ICTs diffusion in small and medium-sized enterprises (SMEs) that are part of their production chains. Additionally, coordination among different government agencies is critical for improving ICT policies design and implementation. The relevance of well-designed ICT policies is apparent in empirical and qualitative evidence from Chile, Colombia and Uruguay, where ICT investment indicates a positive impact on firm innovation and productivity. As part of what some call the digital ecosystem, the IT industry plays an important role, but we observe large heterogeneity in the LAC region. Brazil and Mexico are two big players with relatively well-developed software and hardware industries oriented to the domestic market, while Costa Rica and Uruguay emerge as IT producers and exporters. In between, medium-sized countries like Argentina, Colombia, Peru and Ecuador are looking for a position in either their internal or external markets. To increase performance in the IT industry and complement the existing ecosystem, ICT policies must be accompanied by industrial programs that go beyond the usual horizontal industrial policies.
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Begenau, Juliane, Maryam Farboodi, and Laura Veldkamp. Big Data in Finance and the Growth of Large Firms. Cambridge, MA: National Bureau of Economic Research, April 2018. http://dx.doi.org/10.3386/w24550.

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Gonzalez-Caban, Armando, John B. Loomis, Dana Griffin, Elen Wu, Daniel McCollum, Jane McKeever, and Diane Freeman. Economic value of big game habitat production from natural and prescribed fire. Albany, CA: U.S. Department of Agriculture, Forest Service, Pacific Southwest Research Station, 2003. http://dx.doi.org/10.2737/psw-rp-249.

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Cao, Larry. T-Shaped Teams: Organizing to Adopt AI and Big Data at Investment Firms. CFA Institute, August 2021. http://dx.doi.org/10.56227/22.1.13.

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Focusing on questions raised by the AI Pioneers in Investment Management report, this publication explains how cross-functional teams can help investment professionals and organizations develop investment processes that incorporate AI and big data.
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Cathles, Alison, Claudia Suaznabar, and Fernando Vargas. The 360 on Digital Transformation in Firms in Latin America and the Caribbean. Inter-American Development Bank, December 2022. http://dx.doi.org/10.18235/0004635.

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Are firms in Latin America and the Caribbean lagging in terms of their adoption of digital technologies? Using the most updated and, in many cases, new data, this publication provides a 360-degree assessment on the adoption of technologies ranging from artificial intelligence, big data, and the internet of things, to “backbone” tools such as cloud computing and basic digital technologies (e.g., the percent of firms with websites). On certain dimensions, some firms in the region compare favorably with firms in OECD countries. However, in general, as with artificial intelligence and big data, the data point to considerable gaps in uptake. With a comprehensive outlook, this work also assesses enabling conditions for digital technology adoption and current trends in the digital economy.
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