A Computational Framework for Understanding Firm Communication During Disasters

References

• Abbasi A, Zhou Y, Deng S, Zhang P (2018) Text analytics to support sense-making in social media: a language-action perspective. Management Inform. Systems Q. 42(2):427–464.Crossref, Google Scholar
• Agarwal R, Dhar V (2014) Editorial—Big data, data science, and analytics: the opportunity and challenge for IS research. Inform. Systems Res. 25(3):443–448.Link, Google Scholar
• Arora SD, Chakraborty A (2021) The role of for-profit firms in disaster management: A typology. J. Macromarketing 41(4):675–698.Crossref, Google Scholar
• Athey S, Grabarz K, Luca M, Wernerfelt N (2023) Digital public health interventions at scale: The impact of social media advertising on beliefs and outcomes related to COVID vaccines. Proc. Natl. Acad. Sci. USA 120(5):e2208110120.Crossref, Google Scholar
• Bachura E, Valecha R, Chen R, Rao HR (2022) The OPM data breach: An investigation of shared emotional reactions on Twitter. Management Inform. Systems Q. 46(2):881–910.Crossref, Google Scholar
• Bai X, Marsden JR, Ross WT, Wang G (2020) A note on the impact of daily deals on local retailers’ online reputation: Mediation effects of the consumer experience. Inform. Systems Res. 31(4):1132–1143.Link, Google Scholar
• Ballesteros L, Useem M, Wry T (2017) Masters of disasters? An empirical analysis of how societies benefit from corporate disaster aid. Acad. Management J. 60(5):1682–1708.Crossref, Google Scholar
• Bartov E, Faurel L, Mohanram PS (2018) Can Twitter help predict firm-level earnings and stock returns? Accounting Rev. 93(3):25–57.Crossref, Google Scholar
• Belasen A (2008) The Theory and Practice of Corporate Communication: A Competing Values Perspective (Sage Publications, Los Angeles).Google Scholar
• Belasen A, Frank N (2010) A peek through the lens of the competing values framework: What managers communicate and how. Atlantic J. Comm. 18(5):280–296.Crossref, Google Scholar
• Below R, Wirtz A, Guha-Sapir D (2009) Disaster category classification and peril terminology for operational purposes. Working paper, Centre for Research on the Epidemiology of Disasters, Brussels.Google Scholar
• Berente N, Seidel S, Safadi H (2019) Research commentary—Data-driven computationally intensive theory development. Inform. Systems Res. 30(1):50–64.Link, Google Scholar
• Bethel JW, Burke SC, Britt AF (2013) Disparity in disaster preparedness between racial/ethnic groups. Disaster Health 1(2):110–116.Crossref, Google Scholar
• Bhattacharya CB, Sen S (2003) Consumer–company identification: A framework for understanding consumers’ relationships with companies. J. Marketing 67(2):76–88.Crossref, Google Scholar
• Bolukbasi T, Chang K-W, Zou J, Saligrama V, Kalai A (2016) Man is to computer programmer as woman is to homemaker? Debiasing word embeddings. Proc. 30th Internat. Conf. Neural Information Processing Systems (NIPS’16) (Curran Associates Inc., Red Hook, New York), 4356–4364.Google Scholar
• Borah A, Banerjee S, Lin YT, Jain A, Eisingerich AB (2020) Improvised marketing interventions in social media. J. Marketing 84(2):69–91.Crossref, Google Scholar
• Brown AD, Starkey K (1994) The effect of organizational culture on communication and information. J. Management Stud. 31(6):807–828.Crossref, Google Scholar
• Buenger V, Daft RL, Conlon EJ, Austin J (1996) Competing values in organizations: Contextual influences and structural consequences. Organ. Sci. 7(5):557–576.Link, Google Scholar
• Cameron KS, ed. (2006) Competing Values Leadership: Creating Value in Organizations (Edward Elgar Publishing, Cheltenham, UK).Crossref, Google Scholar
• Cameron KS (2009) An introduction to the competing values framework. Organizational culture white paper. Accessed July 28, 2023, https://media.haworth.com/asset/28512/An_Introduction_to_the_Competing_Values_Framework_White_Paper. pdf.Google Scholar
• Cameron KS, Quinn RE (2011) Diagnosing and Changing Organizational Culture: Based on the Competing Values Framework, 3rd ed. (John Wiley & Sons, Inc., Hoboken, NJ).Google Scholar
• Chandra A, Moen S, Sellers C (2016) What role does the private sector have in supporting disaster recovery, and what challenges does it face in doing so? Perspective, RAND Corporation, Arlington, VA.Google Scholar
• Chen YRR, Cheng Y, Hung-Baesecke CJF, Jin Y (2019) Engaging international publics via mobile-enhanced CSR (mCSR): A cross-national study on stakeholder reactions to corporate disaster relief efforts. Amer. Behav. Sci. 63(12):1603–1623.Crossref, Google Scholar
• Chu SC, Chen HT, Gan C (2020) Consumers’ engagement with corporate social responsibility (CSR) communication in social media: Evidence from China and the United States. J. Bus. Res. 110:260–271.Crossref, Google Scholar
• Chung S, Animesh A, Han K, Pinsonneault A (2020) Financial returns to firms’ communication actions on firm-initiated social media: Evidence from Facebook business pages. Inform. Systems Res. 31(1):258–285.Link, Google Scholar
• Devlin J, Chang M-W, Lee K, Toutanova K (2019) BERT: Pre-training of deep bidirectional transformers for language understanding. Proc. 2019 Conf. North Amer. Chapter Assoc. Comput. Linguistics Human Language Tech. (Association for Computational Linguistics), 4171–4186.Google Scholar
• Donthu N, Gustafsson A (2020) Effects of COVID-19 on business and research. J. Bus. Res. 117:284–289.Crossref, Google Scholar
• Dou Y, Niculescu MF, Wu DJ (2013) Engineering optimal network effects via social media features and seeding in markets for digital goods and services. Inform. Systems Res. 24(1):164–185.Link, Google Scholar
• Ebrahimi M, Chai Y, Samtani S, Chen H (2022) Cross-lingual cybersecurity analytics in the international dark web with adversarial deep representation learning. Management Inform. Systems Q. 46(2):1209–1226.Crossref, Google Scholar
• Fernandes M (2021) Tips to optimize social media strategy during COVID-19. PRLab: Student-Staffed Public Relations Agency. Retrieved February 4, 2022, https://www.bu.edu/prlab/2021/03/02/tips-to-optimize-social-media-strategy-during-covid-19/.Google Scholar
• Fombrun C, Shanley M (1990) What’s in a name? Reputation building and corporate strategy. Acad. Management J. 33(2):233–258.Crossref, Google Scholar
• Gabbatt A (2013) How companies used social media during Hurricane Sandy. The Guardian (February 20), https://www.theguardian.com/world/us-news-blog/2013/feb/20/mta-conedison-hurricane-sandy-social-media-week.Google Scholar
• Gao Y, Duan W, Rui H (2022) Does social media accelerate product recalls? Evidence from the pharmaceutical industry. Inform. Systems Res. 33(3):954–977.Link, Google Scholar
• Ghose A (2009) Internet exchanges for used goods: An empirical analysis of trade patterns and adverse selection. Management Inform. Systems Q. 33(2):263–291.Crossref, Google Scholar
• Gillan SL, Koch A, Starks LT (2021) Firms and social responsibility: A review of ESG and CSR research in corporate finance. J. Corporate Finance 66:101889.Crossref, Google Scholar
• Grand G, Blank IA, Pereira F, Fedorenko E (2022) Semantic projection recovers rich human knowledge of multiple object features from word embeddings. Nature Human Behav. 6:975–987.Crossref, Google Scholar
• Grover V, Lindberg A, Benbasat I, Lyytinen K (2020) The perils and promises of big data research in information systems. J. Assoc. Inform. Systems 21(2):268–291.Google Scholar
• Guan P, Zhuang J (2015) Modeling public–private partnerships in disaster management via centralized and decentralized models. Decision Anal. 12(4):173–189.Link, Google Scholar
• Gunarathne P, Rui H, Seidmann A (2017) Whose and what social media complaints have happier resolutions? Evidence from Twitter. J. Management Inform. Systems 34(2):314–340.Crossref, Google Scholar
• Guo W, Cannella AA (2021) No need to know it all: Implications of COVID-19 for corporate communication research. J. Management Stud. 58(5):1421–1425.Crossref, Google Scholar
• Gwebu KL, Wang J, Wang L (2018) The role of corporate reputation and crisis response strategies in data breach management. J. Management Inform. Systems 35(2):683–714.Crossref, Google Scholar
• Hartnell CA, Ou AY, Kinicki A (2011) Organizational culture and organizational effectiveness: A meta-analytic investigation of the competing values framework’s theoretical suppositions. J. Appl. Psych. 96(4):677–694.Crossref, Google Scholar
• Hassan TA, Hollander S, van Lent L, Schwedeler M, Tahoun A (2023) Firm-level exposure to epidemic diseases: COVID-19, SARS, and H1N1. Rev. Financial Stud. 36(12):4919–4964.Google Scholar
• He S, Rui H, Whinston AB (2018) Social media strategies in product-harm crises. Inform. Systems Res. 29(2):362–380.Link, Google Scholar
• Hoberg G, Phillips G (2016) Text-based network industries and endogenous product differentiation. J. Political Econom. 124(5):1423–1465.Crossref, Google Scholar
• Hong Y, Peng J, Burtch G, Huang N (2021) Just DM me (politely): Direct messaging, politeness, and hiring outcomes in online labor markets. Inform. Systems Res. 32(3):786–800.Link, Google Scholar
• Houston JB, Hawthorne J, Perreault MF, Park EH, Goldstein Hode M, Halliwell MR, Turner McGowen SE, et al. (2015) Social media and disasters: a functional framework for social media use in disaster planning, response, and research. Disasters 39(1):1–22.Crossref, Google Scholar
• Howison J, Wiggins A, Crowston K (2011) Validity issues in the use of social network analysis with digital trace data. J. Assoc. Inform. Systems 12(12):767–797.Google Scholar
• Huang Y, Jin Y, Huang J (2021) Impact of managerial responses on product sales: Examining the moderating role of competitive intensity and market position. J. Assoc. Inform. Systems 22(2):544–570.Google Scholar
• Izumi T, Shaw R (2015) Disaster Management and Private Sectors: Challenges and Potentials (Springer, New York).Crossref, Google Scholar
• Johnson SL, Gray P, Sarker S (2019) Revisiting IS research practice in the era of big data. Inform. Organ. 29(1):41–56.Crossref, Google Scholar
• Kim H, Rao AR, Lee AY (2009) It’s time to vote: The effect of matching message orientation and temporal frame on political persuasion. J. Consumer Res. 35(6):877–889.Crossref, Google Scholar
• Kryvasheyeu Y, Chen H, Obradovich N, Moro E, Hentenryck PV, Fowler J, Cebrian M (2016) Rapid assessment of disaster damage using social media activity. Sci. Adv. 2(3):e1500779.Crossref, Google Scholar
• Kumar N, Qiu L, Kumar S (2022) A hashtag is worth a thousand words: An empirical investigation of social media strategies in trademarking hashtags. Inform. Systems Res. 33(4):1403–1427.Link, Google Scholar
• Kusumasondjaja S (2018) The roles of message appeals and orientation on social media brand communication effectiveness: An evidence from Indonesia. Asia-Pac. J. Marketing Logist. 30(4):1135–1158.Crossref, Google Scholar
• Lam NSN, Arenas H, Pace K, LeSage J, Campanella R (2012) Predictors of business return in New Orleans after Hurricane Katrina. PLoS One 7(10):e47935.Crossref, Google Scholar
• Langfield-Smith K (1992) Exploring the need for a shared cognitive map. J. Management Stud. 29(3):349–368.Crossref, Google Scholar
• Lee D, Hosanagar K, Nair HS (2018) Advertising content and consumer engagement on social media: Evidence from Facebook. Management Sci. 64(11):5105–5131.Link, Google Scholar
• Leidner DE, Kayworth T (2006) Review: A review of culture in information systems research: Toward a theory of information technology culture conflict. Management Inform. Systems Q. 30(2):357–399.Crossref, Google Scholar
• Leong C, Pan S, Ractham P, Kaewkitipong L (2015) ICT-enabled community empowerment in crisis response: Social media in Thailand flooding 2011. J. Assoc. Inform. Systems 16(3):174–212.Google Scholar
• Li K, Mai F, Shen R, Yan X (2021) Measuring corporate culture using machine learning. Rev. Financial Stud. 34(7):3265–3315.Crossref, Google Scholar
• Liu W, Xu W, Tsai JY (2020) Developing a multi-level organization-public dialogic communication framework to assess social media-mediated disaster communication and engagement outcomes. Public Relations Rev. 46(4):101949.Crossref, Google Scholar
• Luo X, Zhang J, Duan W (2013) Social media and firm equity value. Inform. Systems Res. 24(1):146–163.Link, Google Scholar
• Mallipeddi RR, Janakiraman R, Kumar S, Gupta S (2021) The effects of social media content created by human brands on engagement: Evidence from Indian general election 2014. Inform. Systems Res. 32(1):212–237.Link, Google Scholar
• Mikolov T, Sutskever I, Chen K, Corrado GS, Dean J (2013) Distributed representations of words and phrases and their compositionality. Burges CJ, Bottou L, Welling M, Ghahramani Z, Weinberger KQ, eds. Adv. Neural Inform. Processing Systems 26 (NIPS 2013) (Neural Information Processing Systems Foundation, Inc., La Jolla, CA), 3111–3119.Google Scholar
• Miller AR, Tucker C (2013) Active social media management: The case of healthcare. Inform. Systems Res. 24(1):52–70.Link, Google Scholar
• Miranda S, Wang D, Tian C (2022a) Discursive fields and the diversity-coherence paradox: An ecological perspective on the blockchain community discourse. Management Inform. Systems Q. 46(3):1421–1452.Crossref, Google Scholar
• Miranda S, Berente N, Seidel S, Safadi H, Burton-Jones A (2022b) Editor’s comments: Computationally intensive theory construction: A primer for authors and reviewers. Management Inform. Systems Q. 46(2):iii–xviii.Google Scholar
• Mirbabaie M, Bunker D, Stieglitz S, Marx J, Ehnis C (2020) Social media in times of crisis: Learning from Hurricane Harvey for the Coronavirus Disease 2019 pandemic response. J. Inform. Tech. 35(3):195–213.Crossref, Google Scholar
• Mu J, Zhang J, Borah A, Qi J (2022) Creative appeals in firm-generated content and product performance. Inform. Systems Res. 33(1):18–42.Link, Google Scholar
• Nguyen D, Grieve J (2020) Do word embeddings capture spelling variation? Proc. 28th Internat. Conf. Comput. Linguistics (International Committee on Computational Linguistics, Barcelona, Spain), 870–881.Google Scholar
• Nian T, Sundararajan A (2022) Social media marketing, quality signaling, and the Goldilocks principle. Inform. Systems Res. 33(2):540–556.Link, Google Scholar
• Oh O, Agrawal M, Rao HR (2013) Community intelligence and social media services: A rumor theoretic analysis of tweets during social crises. Management Inform. Systems Q. 37(2):407–426.Crossref, Google Scholar
• OpenAI (2022) New and improved embedding model. Retrieved April 2, 2023. https://openai.com/blog/new-and-improved-embedding-model.Google Scholar
• Palttala P, Boano C, Lund R, Vos M (2012) Communication gaps in disaster management: Perceptions by experts from governmental and non-governmental organizations. J. Contingencies Crisis Management 20(1):2–12.Crossref, Google Scholar
• Park E, Rishika R, Janakiraman R, Houston MB, Yoo B (2018) Social dollars in online communities: The effect of product, user, and network characteristics. J. Marketing 82(1):93–114.Crossref, Google Scholar
• Peng J, Zhang J, Gopal R (2022) The good, the bad, and the social media: Financial implications of social media reactions to firm-related news. J. Management Inform. Systems 39(3):706–732.Crossref, Google Scholar
• Qiu L, Tang Q, Whinston AB (2015) Two formulas for success in social media: Learning and network effects. J. Management Inform. Systems 32(4):78–108.Crossref, Google Scholar
• Quinn RE, Rohrbaugh J (1983) A spatial model of effectiveness criteria: Toward a competing values approach to organizational analysis. Management Sci. 29(3):363–377.Link, Google Scholar
• Quinn RE, Hildebrandt HW, Rogers PS, Thompson MP (1991) A competing values framework for analyzing presentational communication in management contexts. J. Bus. Comm. 28(3):213–232.Crossref, Google Scholar
• Reimers N, Gurevych I (2019) Sentence-BERT: Sentence embeddings using Siamese BERT-networks. Proc. 2019 Conf. Empirical Methods in Natural Language Processing and the 9th Internat. Joint Conf. Natural Language Processing (EMNLP-IJCNLP) (Association for Computational Linguistics, Stroudsburg, PA), 3982–3992.Google Scholar
• Robinson SL (2019) What is a pre-theory paper? Some insights to help you recognize or create a pre-theory paper for AMD. Acad. Management Discoveries 5(1):1–7.Crossref, Google Scholar
• Rogers PS, Hildebrandt HW (1993) Competing values instruments for analyzing written and spoken management messages. Human Resource Management 32(1):121–142.Crossref, Google Scholar
• Roshan M, Warren M, Carr R (2016) Understanding the use of social media by organisations for crisis communication. Comput. Human Behav. 63:350–361.Crossref, Google Scholar
• Saar-Tsechansky M, Provost F (2007) Decision-centric active learning of binary-outcome models. Inform. Systems Res. 18(1):4–22.Link, Google Scholar
• Sanh V, Debut L, Chaumond J, Wolf T (2020) Distilbert, a distilled version of Bert: Smaller, faster, cheaper and lighter. 5th Workshop Energy Efficient Machine Learn. Cognitive Comput.Google Scholar
• Saxton GD, Gomez L, Ngoh Z, Lin YP, Dietrich S (2019) Do CSR messages resonate? Examining public reactions to firms’ CSR efforts on social media. J. Bus. Ethics 155(2):359–377.Crossref, Google Scholar
• Segal E (2021) Best practices for using social media in hurricanes and other crisis situations. Forbes (September 23), https://www.forbes.com/sites/edwardsegal/2021/09/23/best-practices-for-using-social-media-in-hurricanes-and-other-crisis-situations/.Google Scholar
• Settles B (2012) Active Learning, Synthesis Lectures on Artificial Intelligence and Machine Learning (Springer, Cham, Switzerland), 3–4.Crossref, Google Scholar
• Shi D (2020) How do businesses help during natural disasters? A content analysis of corporate disaster aid on Twitter. Internat. J. Strategic Comm. 14(5):348–367.Crossref, Google Scholar
• Sun S, Gao Y, Rui H (2021) Does active service intervention drive more complaints on social media? The roles of service quality and awareness. J. Management Inform. Systems 38(3):579–611.Crossref, Google Scholar
• Syed R, Silva L (2022) Social movement sustainability on social media: An analysis of the women’s march movement on Twitter. J. Assoc. Inform. Systems 24(1):249–293.Google Scholar
• Tausczik YR, Pennebaker JW (2010) The psychological meaning of words: LIWC and computerized text analysis methods. J. Language Soc. Psych. 29(1):24–54.Crossref, Google Scholar
• Tenney I, Das D, Pavlick E (2019) BERT rediscovers the classical NLP pipeline. Proc. 57th Annual Meeting Assoc. Comput. Logistics (Association for Computational Linguistics), 4593–4601.Google Scholar
• Wang L, Schuetz CG, Cai D (2021) Choosing response strategies in social media crisis communication: An evolutionary game theory perspective. Inform. Management 58(6):103371.Crossref, Google Scholar
• WMO (2021) WMO Atlas of Mortality and Economic Losses from Weather, Climate and Water Extremes (1970–2019) (WMO-No. 1267) (WMO (World Meteorological Organization), Geneva).Google Scholar
• Wooldridge JM (2010) Econometric Analysis of Cross Section and Panel Data (MIT Press, Cambridge, MA).Google Scholar
• Yan L, Pedraza-Martinez AJ (2019) Social media for disaster management: Operational value of the social conversation. Production Oper. Management 28(10):2514–2532.Crossref, Google Scholar
• Yang K, Lau RYK, Abbasi A (2023a) Getting personal: A deep learning artifact for text-based measurement of personality. Inform. Systems Res. 34(1):194–222.Link, Google Scholar
• Yang M, Ren Y, Adomavicius G (2019) Understanding user-generated content and customer engagement on Facebook business pages. Inform. Systems Res. 30(3):839–855.Link, Google Scholar
• Yang Y, Zhang K, Fan Y (2023b) sDTM: A supervised Bayesian deep topic model for text analytics. Inform. Systems Res. 34(1):137–156Link, Google Scholar
• Yousaf A, Amin I, Jaziri D, Mishra A (2020) Effect of message orientation/vividness on consumer engagement for travel brands on social networking sites. J. Product Brand Management 30(1):44–57.Crossref, Google Scholar
• Zhang R, Rezaee Z, Zhu J (2010) Corporate philanthropic disaster response and ownership type: Evidence from Chinese firms’ response to the Sichuan earthquake. J. Bus. Ethics 91(1):51–63.Crossref, Google Scholar