Business analytics for strategic management: Identifying and assessing corporate challenges via topic modeling

Pröllochs, Nicolas; Feuerriegel, Stefan

doi:10.1016/j.im.2018.05.003

Cited by 67 publications

(44 citation statements)

References 62 publications

(98 reference statements)

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“…The central thread relates to the use of topic modeling to map cultural dynamics around social structures. A macro approach involves mapping the meaning structures that comprise business environments (Pröllochs & Feuerriegel, 2018), knowledge profiles of firms (Suominen et al, 2017), emerging fields (Hannigan & Casasnovas, 2019), and political issues (Kim et al, 2018). Researchers have modeled the topics and rhetorical attributes of scientific articles, in turn finding links between the hidden topic structure of scientific communities as "thought collectives" and impacts on knowledge consumption patterns (Antons et al, 2018).…”

Section: Trends In Rendering Theoretical Artifactsmentioning

confidence: 99%

Topic Modeling in Management Research: Rendering New Theory from Textual Data

Hannigan

Haans

Vakili

et al. 2019

ANNALS

347

251

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____ We would like to thank the editors of the Academy of Management Annals for their support and helpful comments. We also thank the participants in our various topic modeling presentations and reviewers and division organizers (specifically Peer Fiss and Renate Meyer) at the Academy of Management meetings. In addition, we would like to recognize Marc-David Seidel and Christopher Steele from the Interpretive Data Science (IDeaS) group for their role in germinating these ideas, Mike Pfarrer for his comments on a later draft of the paper, and Kara Gehman for her fine-grained edits on next-to-final drafts. Finally, we wish to express our appreciation to our life partners for not only putting up with, but actively discussing this paper as it evolved.

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Section: Trends In Rendering Theoretical Artifactsmentioning

confidence: 99%

Topic Modeling in Management Research: Rendering New Theory from Textual Data

Hannigan

Haans

Vakili

et al. 2019

ANNALS

347

251

View full text Add to dashboard Cite

show abstract

“…Besides the three major themes above, key-terms cluster analysis also reveals that big data has a strong impact on every sector, from medical healthcare [24,25,[63][64][65], finance and business [26,[66][67][68], energy [69,70], government [71][72][73][74], education [75][76][77] to transportation [78][79][80]. The main source of big data comes from daily life and activities, for example, social media and networks.…”

Section: Big Data Applications and Servicesmentioning

confidence: 99%

Theme Mapping and Bibliometrics Analysis of One Decade of Big Data Research in the Scopus Database

Parlina

Ramli²,

Murfi³

2020

Information

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Recently, the popularity of big data as a research field has shown continuous and wide-scale growth. This study aims to capture the scientific structure and topic evolution of big data research using bibliometrics and text mining-based analysis methods. Bibliographic data of journal articles regarding big data published between 2009 to 2018 were collected from the Scopus database and analyzed. The results show a significant growth of publications since 2014. Furthermore, the findings of this study highlight the core journals, most cited articles, top productive authors, countries, and institutions. Secondly, a unique approach to identifying and analyzing major research themes in big data publications was proposed. Keywords were clustered, and each cluster was labeled as a theme. Moreover, the papers were divided into four sub-periods to observe the thematic evolution. The theme mapping reveals that research on big data is dominated by big data analytics, which covers methods, tools, supporting infrastructure, and applications. Other critical aspects of big data research are security and privacy. Social networks and the Internet of things are significant sources of big data, and the resources and services offered by cloud computing strongly support the management and processing of big data.

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“…The need to translate and understand codified information is shown by Pröllochs and Feuerriegel (2018). Associated with the use of the SWOT analysis tool where it is possible to analyze the risks and opportunities of organizational environments, the authors present methods based on advanced analyzes, which can perform all the calculations in a computerized way and, consequently, subsidizing the managers in the update, in the establishment of goals, performance measurement, and assessments with arbitrary frequency.…”

Section: Independent Journal Of Management and Production (Ijmandp)mentioning

confidence: 99%

Sustainable management, balanced scorecard and small business: a systematic review and state of the art

Barbosa

Castañeda-Ayarza

Ferreira

2020

Ind. Jour. Manag. & Prod.

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The Balanced Scorecard - BSC is a widely used tool in business management that allows implementing and controlling strategies. Today, in a context that demands efforts from all organizations for sustainable development, the BSC has become an excellent alternative to include sustainability in business management. However, when it comes to small business organizations, management tools like BSC and business sustainability face the greatest difficulties, barriers and limitations. Therefore, the objective is to map the frontier of knowledge that brings together sustainable management and BSC to small companies, allowing visualization of the paths covered and the ones to be taken through science. A systematic bibliographical research was developed identifying and analyzing the main scientific publications that intersect the themes mentioned above. The results show the need to increase research towards understanding and monitoring the transformation of small business management in terms of sustainable development. The importance of the use of management tools to improve the efficiency and effectiveness of the whole process has been confirmed, as well as that the BSC can play a relevant role. Thus, with this, researchers are expected to be more interested in the subject and more studies applied in small companies will come to be.

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Business analytics for strategic management: Identifying and assessing corporate challenges via topic modeling

Cited by 67 publications

References 62 publications

Topic Modeling in Management Research: Rendering New Theory from Textual Data

Topic Modeling in Management Research: Rendering New Theory from Textual Data

Theme Mapping and Bibliometrics Analysis of One Decade of Big Data Research in the Scopus Database

Sustainable management, balanced scorecard and small business: a systematic review and state of the art

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