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Sérgio Moro
(Sergio Moro)

Personal Details

First Name:Sergio
Middle Name:
Last Name:Moro
Suffix:
RePEc Short-ID:pmo823
http://pt.linkedin.com/in/scmoro/

Affiliation

Unidade de Investigação em Desenvolvimento Empresarial (UNIDE)
Business School
ISCTE - Instituto Universitário de Lisboa (ISCTE-IUL)

Lisboa, Portugal
http://unide.iscte.pt/
RePEc:edi:uisctpt (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Chapters

Working papers

  1. Sérgio Moro & Paulo Cortez & Raul M. S. Laureano, 2013. "A data mining approach for bank telemarketing using the rminer package and r tool," Working Papers Series 2 13-06, ISCTE-IUL, Business Research Unit (BRU-IUL).

Articles

  1. Sérgio Moro & Ricardo F. Ramos & Paulo Rita, 2020. "What drives job satisfaction in IT companies?," International Journal of Productivity and Performance Management, Emerald Group Publishing, vol. 70(2), pages 391-407, March.
  2. Moro, Sérgio & Pires, Guilherme & Rita, Paulo & Cortez, Paulo, 2020. "A cross-cultural case study of consumers' communications about a new technological product," Journal of Business Research, Elsevier, vol. 121(C), pages 438-447.
  3. Oliveira Abílio & Moro Sérgio & Torres Pedro, 2019. "Psychological Contract, Internal Branding and Employee Turnover in an IT Company," Academic Journal of Interdisciplinary Studies, Sciendo, vol. 8(1), pages 9-18, March.
  4. Moro, Sérgio & Pires, Guilherme & Rita, Paulo & Cortez, Paulo, 2019. "A text mining and topic modelling perspective of ethnic marketing research," Journal of Business Research, Elsevier, vol. 103(C), pages 275-285.
  5. Leandro Costa & Ricardo Ramos & Sérgio Moro, 2019. "Anticipating Next Public Administration Employees Absence Duration," Public administration issues, Higher School of Economics, issue 6, pages 23-40.
  6. Amado, Alexandra & Cortez, Paulo & Rita, Paulo & Moro, Sérgio, 2018. "Research Trends On Big Data In Marketing: A Text Mining And Topic Modeling Based Literature Analysis," European Research on Management and Business Economics (ERMBE), Academia Europea de Dirección y Economía de la Empresa (AEDEM), vol. 24(1), pages 1-7.
  7. Moro, Sérgio & Rita, Paulo & Cortez, Paulo, 2017. "A text mining approach to analyzing Annals literature," Annals of Tourism Research, Elsevier, vol. 66(C), pages 208-210.
  8. Moro, Sérgio & Rita, Paulo & Vala, Bernardo, 2016. "Predicting social media performance metrics and evaluation of the impact on brand building: A data mining approach," Journal of Business Research, Elsevier, vol. 69(9), pages 3341-3351.

Chapters

  1. Flávio Tiago & Cristina Oliveira & Ana Brochado & Sérgio Moro, 2020. "Mapping Island Tourism Research," Springer Proceedings in Business and Economics, in: Androniki Kavoura & Efstathios Kefallonitis & Prokopios Theodoridis (ed.), Strategic Innovative Marketing and Tourism, pages 71-79, Springer.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

    Sorry, no citations of working papers recorded.

Articles

  1. Sérgio Moro & Ricardo F. Ramos & Paulo Rita, 2020. "What drives job satisfaction in IT companies?," International Journal of Productivity and Performance Management, Emerald Group Publishing, vol. 70(2), pages 391-407, March.

    Cited by:

    1. Gangwei Cai & Yan Hong & Lei Xu & Weijun Gao & Ka Wang & Xiaoting Chi, 2020. "An Evaluation of Green Ryokans through a Tourism Accommodation Survey and Customer-Satisfaction-Related CASBEE–IPA after COVID-19 Pandemic," Sustainability, MDPI, vol. 13(1), pages 1-24, December.
    2. Elwira Gross-Gołacka & Ewa Szkudlarek & Agnieszka Brzegowy & Teresa Kupczyk & Magdalena Ligaj, 2022. "Well-being among IT Employees Working Remotely: Post Covid-19 Reality from the Perspective of IT Industry," European Research Studies Journal, European Research Studies Journal, vol. 0(2), pages 223-235.

  2. Moro, Sérgio & Pires, Guilherme & Rita, Paulo & Cortez, Paulo, 2020. "A cross-cultural case study of consumers' communications about a new technological product," Journal of Business Research, Elsevier, vol. 121(C), pages 438-447.

    Cited by:

    1. Juan Carlos Martín & Veronika Rudchenko & María-Victoria Sánchez-Rebull, 2020. "The Role of Nationality and Hotel Class on Guests’ Satisfaction. A Fuzzy-TOPSIS Approach Applied in Saint Petersburg," Administrative Sciences, MDPI, vol. 10(3), pages 1-24, September.
    2. Wu, Yuanyuan & Liu, Tianjiao & Teng, Lefa & Zhang, Hui & Xie, Chenxin, 2021. "The impact of online review variance of new products on consumer adoption intentions," Journal of Business Research, Elsevier, vol. 136(C), pages 209-218.
    3. Moro, Sérgio & Lopes, Rui J. & Esmerado, Joaquim & Botelho, Miguel, 2020. "Service quality in airport hotel chains through the lens of online reviewers," Journal of Retailing and Consumer Services, Elsevier, vol. 56(C).

  3. Moro, Sérgio & Pires, Guilherme & Rita, Paulo & Cortez, Paulo, 2019. "A text mining and topic modelling perspective of ethnic marketing research," Journal of Business Research, Elsevier, vol. 103(C), pages 275-285.

    Cited by:

    1. Julio Cesar Alonso Cifuentes, 2020. "Una introducción a la construcción de Word Clouds (para economistas) en R," Icesi Economics Lecture Notes 018187, Universidad Icesi.
    2. Moon, Sangkil & Kim, Moon-Yong & Bergey, Paul K., 2019. "Estimating deception in consumer reviews based on extreme terms: Comparison analysis of open vs. closed hotel reservation platforms," Journal of Business Research, Elsevier, vol. 102(C), pages 83-96.
    3. Chatzopoulou, Elena & Navazhylava, Kseniya, 2022. "Ethnic brand identity work: Responding to authenticity tensions through celebrity endorsement in brand digital self-presentation," Journal of Business Research, Elsevier, vol. 142(C), pages 974-987.
    4. Rahul Kumar & Rahul Thakurta, 2021. "Exfoliating decision support system: a synthesis of themes using text mining," Information Systems and e-Business Management, Springer, vol. 19(1), pages 247-279, March.
    5. Ozcan Saritas & Pavel Bakhtin & Ilya Kuzminov & Elena Khabirova, 2021. "Big data augmentated business trend identification: the case of mobile commerce," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1553-1579, February.
    6. Barkemeyer, Ralf & Faugère, Christophe & Gergaud, Olivier & Preuss, Lutz, 2020. "Media attention to large-scale corporate scandals: Hype and boredom in the age of social media," Journal of Business Research, Elsevier, vol. 109(C), pages 385-398.

  4. Amado, Alexandra & Cortez, Paulo & Rita, Paulo & Moro, Sérgio, 2018. "Research Trends On Big Data In Marketing: A Text Mining And Topic Modeling Based Literature Analysis," European Research on Management and Business Economics (ERMBE), Academia Europea de Dirección y Economía de la Empresa (AEDEM), vol. 24(1), pages 1-7.

    Cited by:

    1. Picheng Lee & Gary Kleinman & Chu‐hua Kuei, 2020. "Using text analytics to apprehend urban sustainability development," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(4), pages 897-921, July.
    2. Papoutsoglou, Maria & Rigas, Emmanouil S. & Kapitsaki, Georgia M. & Angelis, Lefteris & Wachs, Johannes, 2022. "Online labour market analytics for the green economy: The case of electric vehicles," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    3. Fabienne Kiener & Ann-Sophie Gnehm & Simon Clematide & Uschi Backes-Gellner, 2019. "Different Types of IT Skills in Occupational Training Curricula and Labor Market Outcomes," Economics of Education Working Paper Series 0159, University of Zurich, Department of Business Administration (IBW).
    4. Ahmad Ibrahim Aljumah & Mohammed T. Nuseir & Md. Mahmudul Alam, 2021. "Traditional marketing analytics, big data analytics and big data system quality and the success of new product development," Post-Print hal-03538161, HAL.
    5. Mustofa Rochman Hadi, 2020. "Is Big Data Security Essential for Students to Understand?," HOLISTICA – Journal of Business and Public Administration, Sciendo, vol. 11(2), pages 161-170, August.
    6. Martin Reisenbichler & Thomas Reutterer, 2019. "Topic modeling in marketing: recent advances and research opportunities," Journal of Business Economics, Springer, vol. 89(3), pages 327-356, April.
    7. Aslan, Serpil & Kaya, Buket & Kaya, Mehmet, 2019. "Predicting potential links by using strengthened projections in evolving bipartite networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 998-1011.
    8. Gupta, Shivam & Justy, Théo & Kamboj, Shampy & Kumar, Ajay & Kristoffersen, Eivind, 2021. "Big data and firm marketing performance: Findings from knowledge-based view," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    9. Keeheon Lee, 2021. "A Systematic Review on Social Sustainability of Artificial Intelligence in Product Design," Sustainability, MDPI, vol. 13(5), pages 1-29, March.
    10. Fatih Pinarbasi & Zehra Nur Canbolat, 2019. "Big data in marketing literature: A bibliometric analysis," International Journal of Business Ecosystem & Strategy (2687-2293), Bussecon International, vol. 1(2), pages 15-24, April.
    11. Lee, Liane W.Y. & Sharma, Piyush & Barnes, Bradley R., 2022. "Adopting big data to create an “outside-in” global perspective of guanxi," Journal of Business Research, Elsevier, vol. 139(C), pages 614-628.
    12. Jae-Eun Lee & Seol-A Kwon & Eugene Song & Sang Il Ryu, 2022. "Disaster Resilience Differs between Survivors and Victims’ Families: A Semantic Network Analysis," Social Sciences, MDPI, vol. 11(3), pages 1-16, March.
    13. Marina Johnson & Rashmi Jain & Peggy Brennan-Tonetta & Ethne Swartz & Deborah Silver & Jessica Paolini & Stanislav Mamonov & Chelsey Hill, 2021. "Impact of Big Data and Artificial Intelligence on Industry: Developing a Workforce Roadmap for a Data Driven Economy," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 22(3), pages 197-217, September.
    14. Astrid Artner-Nehls & Sandra Uthes & Jana Zscheischler & Peter H. Feindt, 2022. "How the Agricultural Press Addresses the Slurry–Water Nexus: A Text Mining Analysis," Sustainability, MDPI, vol. 14(16), pages 1-22, August.
    15. Aljumah, Ahmad Ibrahim & Nuseir, Mohammed T. & Alam, Md. Mahmudul, 2021. "Organizational Performance and Capabilities to Analyze Big Data: Do the Ambidexterity and Business Value of Big Data Analytics Matter?," OSF Preprints an8er, Center for Open Science.
    16. Iman Raeesi Vanani & Laya Mahmoudi & Seyed Mohammad Jafar Jalali & Kim-Hung Pho, 2022. "Using text mining algorithms in identifying emerging trends for recommender systems," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(3), pages 1293-1326, June.
    17. Anne Parlina & Kalamullah Ramli & Hendri Murfi, 2021. "Exposing Emerging Trends in Smart Sustainable City Research Using Deep Autoencoders-Based Fuzzy C-Means," Sustainability, MDPI, vol. 13(5), pages 1-28, March.
    18. Imran Bashir Dar & Muhammad Bashir Khan & Abdul Zahid Khan & Bahaudin G. Mujtaba, 2021. "A qualitative analysis of the marketing analytics literature: where would ethical issues and legality rank?," Journal of Marketing Analytics, Palgrave Macmillan, vol. 9(3), pages 242-261, September.
    19. Moro, Sérgio & Lopes, Rui J. & Esmerado, Joaquim & Botelho, Miguel, 2020. "Service quality in airport hotel chains through the lens of online reviewers," Journal of Retailing and Consumer Services, Elsevier, vol. 56(C).
    20. Cabrera-Sánchez, Juan-Pedro & Villarejo-Ramos, Ángel F., 2019. "Fatores que afetam a adoção de análises de Big Data em empresas," RAE - Revista de Administração de Empresas, FGV-EAESP Escola de Administração de Empresas de São Paulo (Brazil), vol. 59(6), December.
    21. Simona Fiandrino & Alberto Tonelli, 2021. "A Text-Mining Analysis on the Review of the Non-Financial Reporting Directive: Bringing Value Creation for Stakeholders into Accounting," Sustainability, MDPI, vol. 13(2), pages 1-18, January.
    22. Silva, Ana Teresa & Moro, Sérgio & Rita, Paulo & Cortez, Paulo, 2018. "Unveiling the features of successful eBay smartphone sellers," Journal of Retailing and Consumer Services, Elsevier, vol. 43(C), pages 311-324.
    23. Jorge Iván Pérez Rave & Gloria Patricia Jaramillo Álvarez & Juan Carlos Correa Morales, 2022. "Multi-criteria decision-making leveraged by text analytics and interviews with strategists," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(1), pages 30-49, March.

  5. Moro, Sérgio & Rita, Paulo & Cortez, Paulo, 2017. "A text mining approach to analyzing Annals literature," Annals of Tourism Research, Elsevier, vol. 66(C), pages 208-210.

    Cited by:

    1. Cristina Oliveira & Paulo Rita & Sérgio Moro, 2021. "Unveiling Island Tourism in Cape Verde through Online Reviews," Sustainability, MDPI, vol. 13(15), pages 1-14, July.
    2. Zhang, Yucheng & Hou, Zhongwei & Yang, Feifei & Yang, Miles M. & Wang, Zhiling, 2021. "Discovering the evolution of resource-based theory: Science mapping based on bibliometric analysis," Journal of Business Research, Elsevier, vol. 137(C), pages 500-516.
    3. Loureiro, Sandra Maria Correia & Guerreiro, João & Tussyadiah, Iis, 2021. "Artificial intelligence in business: State of the art and future research agenda," Journal of Business Research, Elsevier, vol. 129(C), pages 911-926.
    4. Nadezhda Zamyatina & Ruslan Goncharov & Alexandra Poturaeva & Alexander Pelyasov, 2020. "The sandwich of Russian space: How different spaces differentiate themes in regional science," Regional Science Policy & Practice, Wiley Blackwell, vol. 12(4), pages 559-577, August.
    5. Moro, Sérgio & Lopes, Rui J. & Esmerado, Joaquim & Botelho, Miguel, 2020. "Service quality in airport hotel chains through the lens of online reviewers," Journal of Retailing and Consumer Services, Elsevier, vol. 56(C).
    6. Moro, Sérgio & Pires, Guilherme & Rita, Paulo & Cortez, Paulo, 2020. "A cross-cultural case study of consumers' communications about a new technological product," Journal of Business Research, Elsevier, vol. 121(C), pages 438-447.
    7. Andrei P Kirilenko & Svetlana Stepchenkova, 2018. "Tourism research from its inception to present day: Subject area, geography, and gender distributions," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-20, November.

  6. Moro, Sérgio & Rita, Paulo & Vala, Bernardo, 2016. "Predicting social media performance metrics and evaluation of the impact on brand building: A data mining approach," Journal of Business Research, Elsevier, vol. 69(9), pages 3341-3351.

    Cited by:

    1. Navdeep Bohra & Vishal Bhatnagar, 2021. "Group level social media popularity prediction by MRGB and Adam optimization," Journal of Combinatorial Optimization, Springer, vol. 41(2), pages 328-347, February.
    2. Shianghau Wu, 2020. "A Fuzzy Association Rules Mining Analysis of the Influencing Factors on the Failure of oBike in Taiwan," Mathematics, MDPI, vol. 8(11), pages 1-18, October.
    3. Mustofa Rochman Hadi, 2020. "Is Big Data Security Essential for Students to Understand?," HOLISTICA – Journal of Business and Public Administration, Sciendo, vol. 11(2), pages 161-170, August.
    4. Gupta, Manjul & Uz, Irem & Esmaeilzadeh, Pouyan & Noboa, Fabrizio & Mahrous, Abeer A. & Kim, Eojina & Miranda, Graça & Tennant, Vanesa M. & Chung, Sean & Azam, Akbar & Peters, Anicia & Iraj, Hamideh &, 2018. "Do cultural norms affect social network behavior inappropriateness? A global study," Journal of Business Research, Elsevier, vol. 85(C), pages 10-22.
    5. Schaefers, Tobias & Falk, Tomas & Kumar, Ashish & Schamari, Julia, 2021. "More of the same? Effects of volume and variety of social media brand engagement behavior," Journal of Business Research, Elsevier, vol. 135(C), pages 282-294.
    6. Moro, Sérgio & Pires, Guilherme & Rita, Paulo & Cortez, Paulo, 2019. "A text mining and topic modelling perspective of ethnic marketing research," Journal of Business Research, Elsevier, vol. 103(C), pages 275-285.
    7. Sheng, Jie & Amankwah-Amoah, Joseph & Wang, Xiaojun, 2017. "A multidisciplinary perspective of big data in management research," International Journal of Production Economics, Elsevier, vol. 191(C), pages 97-112.
    8. Boto Ferreira, Mário & Costa Pinto, Diego & Maurer Herter, Márcia & Soro, Jerônimo & Vanneschi, Leonardo & Castelli, Mauro & Peres, Fernando, 2021. "Using artificial intelligence to overcome over-indebtedness and fight poverty," Journal of Business Research, Elsevier, vol. 131(C), pages 411-425.
    9. Shahbaznezhad, Hamidreza & Dolan, Rebecca & Rashidirad, Mona, 2021. "The Role of Social Media Content Format and Platform in Users' Engagement Behavior," Journal of Interactive Marketing, Elsevier, vol. 53(C), pages 47-65.
    10. Cynthia D. Wiggins, 2022. "Online customer engagement: a practical exploration of antecedents and metrics for new content marketers," SN Business & Economics, Springer, vol. 2(2), pages 1-24, February.
    11. Chawla, Yash & Chodak, Grzegorz, 2021. "Social media marketing for businesses: Organic promotions of web-links on Facebook," Journal of Business Research, Elsevier, vol. 135(C), pages 49-65.
    12. Othman Boujena & Isabelle Ulrich & Aikaterini Manthiou & Bruno Godey, 2021. "Customer engagement and performance in social media: a managerial perspective," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(4), pages 965-987, December.
    13. He, Yi & You, Ya & Chen, Qimei, 2020. "Our conditional love for the underdog: The effect of brand positioning and the lay theory of achievement on WOM," Journal of Business Research, Elsevier, vol. 118(C), pages 210-222.
    14. Siyam, Nur & Alqaryouti, Omar & Abdallah, Sherief, 2020. "Mining government tweets to identify and predict citizens engagement," Technology in Society, Elsevier, vol. 60(C).
    15. Szu-Chuang Li & Yu-Ching Chen & Yi-Wen Chen & Yennun Huang, 2022. "Predicting Advertisement Revenue of Social-Media-Driven Content Websites: Toward More Efficient and Sustainable Social Media Posting," Sustainability, MDPI, vol. 14(7), pages 1-20, April.
    16. Shijie Guo & Shufeng Tang & Dongsheng Zhang, 2019. "A Recognition Methodology for the Key Geometric Errors of a Multi-Axis Machine Tool Based on Accuracy Retentivity Analysis," Complexity, Hindawi, vol. 2019, pages 1-21, November.
    17. Kaiser, Carolin & Ahuvia, Aaron & Rauschnabel, Philipp A. & Wimble, Matt, 2020. "Social media monitoring: What can marketers learn from Facebook brand photos?," Journal of Business Research, Elsevier, vol. 117(C), pages 707-717.
    18. Silva, Ana Teresa & Moro, Sérgio & Rita, Paulo & Cortez, Paulo, 2018. "Unveiling the features of successful eBay smartphone sellers," Journal of Retailing and Consumer Services, Elsevier, vol. 43(C), pages 311-324.
    19. Moro, Sérgio & Pires, Guilherme & Rita, Paulo & Cortez, Paulo, 2020. "A cross-cultural case study of consumers' communications about a new technological product," Journal of Business Research, Elsevier, vol. 121(C), pages 438-447.
    20. Mitra, Satanik & Jenamani, Mamata, 2020. "OBIM: A computational model to estimate brand image from online consumer review," Journal of Business Research, Elsevier, vol. 114(C), pages 213-226.

Chapters

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