Abed, S. S., Dwivedi, Y. K., & Williams, M. D. (2015). SMEs’ adoption of e-commerce using social media in a Saudi Arabian context: A systematic literature review. International Journal of Business Information Systems, 19(2), 159–179. https://doi.org/10.1504/IJBIS.2015.069429
Abidin, C. (2016a). “Aren’t These Just Young, Rich Women Doing Vain Things Online?”: Influencer Selfies as Subversive Frivolity. Social Media and Society, 2(2). https://doi.org/10.1177/2056305116641342
Alalwan, A. A., Rana, N. P., Dwivedi, Y. K., & Algharabat, R. (2017). Social media in marketing: A review and analysis of the existing literature. Telematics and Informatics, 34(7), 1177–1190. https://doi.org/10.1016/j.tele.2017.05.008
Amaro, S., & Duarte, P. (2015). An integrative model of consumers’ intentions to purchase travel online. Tourism Management, 46, 64–79. https://doi.org/10.1016/j.tourman.2014.06.006
Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975.
Arora, D., & Malik, P. (2015). Analytics: Key to go from generating big data to deriving business value. In Proceedings - 2015 IEEE 1st International Conference on Big Data Computing Service and Applications, BigDataService 2015 (pp. 446–452). https://doi.org/10.1109/BigDataService.2015.62
Aswani, R., Kar, A. K., Ilavarasan, P. V., & Dwivedi, Y. K. (2018). Search engine marketing is not all gold: Insights from Twitter and SEOClerks. International Journal of Information Management, 38(1), 107–116. https://doi.org/10.1016/j.ijinfomgt.2017.07.005
Badawy, A. M. (2009). Technology management simply defined: A tweet plus two characters. Journal of Engineering and Technology Management - JET-M, 26(4), 219–224. https://doi.org/10.1016/j.jengtecman.2009.11.001
Baethge, C., Klier, J., & Klier, M. (2016). Social commerce—state-of-the-art and future research directions. Electronic Markets, 26(3), 269–290. https://doi.org/10.1007/s12525-016-0225-2
Balaji, M. S., Khong, K. W., & Chong, A. Y. L. (2016). Determinants of negative word-of-mouth communication using social networking sites. Information and Management, 53(4), 528–540. https://doi.org/10.1016/j.im.2015.12.002
Banerjee, S., & Chua, A. Y. K. (2014). Applauses in hotel reviews: Genuine or deceptive? In Proceedings of 2014 Science and Information Conference, SAI 2014 (pp. 938–942). https://doi.org/10.1109/SAI.2014.6918299
Bardach, N. S., Asteria-Peñaloza, R., John Boscardin, W., & Adams Dudley, R. (2013). The relationship between commercial website ratings and traditional hospital performance measures in the USA. BMJ Quality and Safety, 22(3), 194–202. https://doi.org/10.1136/bmjqs-2012-001360
Beier, M., & Wagner, K. (2015). Crowdfunding success: A perspective from social media and e-commerce. In 2015 International Conference on Information Systems: Exploring the Information Frontier, ICIS 2015.
Benson, V., Saridakis, G., & Tennakoon, H. (2015). Information disclosure of social media users: Does control over personal information, user awareness and security notices matter? Information Technology and People, 28(3), 426–441. https://doi.org/10.1108/ITP-10-2014-0232
Bernabé-Moreno, J., Tejeda-Lorente, A., Porcel, C., Fujita, H., & Herrera-Viedma, E. (2015). CARESOME: A system to enrich marketing customers acquisition and retention campaigns using social media information. Knowledge-Based Systems, 80, 163–179. https://doi.org/10.1016/j.knosys.2014.12.033
Bian, J., Topaloglu, U., & Yu, F. (2012). Towards large-scale twitter mining for drug-related adverse events. In International Conference on Information and Knowledge Management, Proceedings (pp. 25–32). https://doi.org/10.1145/2389707.2389713
Bilgihan, A., Kandampully, J., & Zhang, T. (2016). Towards a unified customer experience in online shopping environments: Antecedents and outcomes. International Journal of Quality and Service Sciences, 8(1), 102–119. https://doi.org/10.1108/IJQSS-07-2015-0054
Bilgihan, A., Okumus, F., Nusair, K., & Bujisic, M. (2014). Online experiences: Flow theory, measuring online customer experience in e-commerce and managerial implications for the lodging industry. Information Technology and Tourism, 14(1), 49–71. https://doi.org/10.1007/s40558-013-0003-3
Bothos, E., Apostolou, D., & Mentzas, G. (2010). Using social media to predict future events with agent-based markets. IEEE Intelligent Systems, 25(6), 50–58. https://doi.org/10.1109/MIS.2010.152
Boyd, D. (2014). It’s complicated: The social lives of networked teens. It’s Complicated: The Social Lives of Networked Teens.
Braojos-Gomez, J., Benitez-Amado, J., & Javier Llorens-Montes, F. (2015). How do small firms learn to develop a social media competence? International Journal of Information Management, 35(4), 443–458. https://doi.org/10.1016/j.ijinfomgt.2015.04.003
Brengman, M., & Karimov, F. P. (2012). The effect of web communities on consumers’ initial trust in B2C e-commerce websites. Management Research Review, 35(9), 791–817. https://doi.org/10.1108/01409171211256569
Busalim, A. H., & Hussin, A. R. C. (2016). Understanding social commerce: A systematic literature review and directions for further research. International Journal of Information Management, 36(6), 1075–1088. https://doi.org/10.1016/j.ijinfomgt.2016.06.005
Cakra, Y. E., & Distiawan Trisedya, B. (2016). Stock price prediction using linear regression based on sentiment analysis. In ICACSIS 2015 - 2015 International Conference on Advanced Computer Science and Information Systems, Proceedings (pp. 147–154). https://doi.org/10.1109/ICACSIS.2015.7415179
Cambria, E., Rajagopal, D., Olsher, D., & Das, D. (2013). Big social data analysis. Big Data Computing. https://doi.org/10.1201/b16014
Cantador, I., Fernández-Tobías, I., Berkovsky, S., & Cremonesi, P. (2015). Cross-domain recommender systems. Recommender Systems Handbook, Second Edition. https://doi.org/10.1007/978-1-4899-7637-6_27
Cao, C. C., Tong, Y., Chen, L., & Jagadish, H. V. (2013). Wisemarket: A new paradigm for managing wisdom of online social users. In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (Vol. Part F1288, pp. 455–463). https://doi.org/10.1145/2487575.2487642
Cha, M., Haddadi, H., Benevenuto, F., & Gummadi, K. P. (2010). Measuring user influence in twitter: The million follower fallacy. In ICWSM 2010 - Proceedings of the 4th International AAAI Conference on Weblogs and Social Media (pp. 10–17).
Chang, C.-W., & Heo, J. (2014). Visiting theories that predict college students’ self-disclosure on Facebook. Computers in Human Behavior, 30, 79–86. https://doi.org/10.1016/j.chb.2013.07.059
Chen, A., Lu, Y., Chau, P. Y. K., & Gupta, S. (2014). Classifying, Measuring, and Predicting Users’ Overall Active Behavior on Social Networking Sites. Journal of Management Information Systems, 31(3), 213–253. https://doi.org/10.1080/07421222.2014.995557
Chen, H. (2010). Business and market intelligence 2.0. IEEE Intelligent Systems, 25(1), 68–71. https://doi.org/10.1109/MIS.2010.27
Chen, H., De, P., & Hu, Y. J. (2015). IT-enabled broadcasting in social media: An empirical study of artists’ activities and music sales. Information Systems Research, 26(3), 513–531. https://doi.org/10.1287/isre.2015.0582
Chen, J., Shen, X.-L., & Chen, Z.-J. (2014). Understanding social commerce intention: A relational view. In Proceedings of the Annual Hawaii International Conference on System Sciences (pp. 1793–1802). https://doi.org/10.1109/HICSS.2014.227
Cheung, C. M. K., Xiao, B. S., & Liu, I. L. B. (2014). Do actions speak louder than voices? the signaling role of social information cues in influencing consumer purchase decisions. Decision Support Systems, 65(C), 50–58. https://doi.org/10.1016/j.dss.2014.05.002
Chhabra, S., Aggarwal, A., Benevenuto, F., & Kumaraguru, P. (2011). Phi.sh/$oCiaL: The phishing landscape through short URLs. In ACM International Conference Proceeding Series (pp. 92–101). https://doi.org/10.1145/2030376.2030387
Claussen, J., Kretschmer, T., & Mayrhofer, P. (2013). The effects of rewarding user engagement: The case of Facebook apps. Information Systems Research, 24(1), 186–200. https://doi.org/10.1287/isre.1120.0467
Culnan, M. J., McHugh, P. J., & Zubillaga, J. I. (2010). How large U.S. companies can use twitter and other social media to gain business value. MIS Quarterly Executive, 9(4), 243–259.
Curty, R. G., & Zhang, P. (2011). Social commerce: Looking back and forward. Proceedings of the ASIST Annual Meeting, 48. https://doi.org/10.1002/meet.2011.14504801096
Davis, R., Piven, I., & Breazeale, M. (2014). Conceptualizing the brand in social media community: The five sources model. Journal of Retailing and Consumer Services, 21(4), 468–481. https://doi.org/10.1016/j.jretconser.2014.03.006
Dede, E., Sendir, B., Kuzlu, P., Hartog, J., & Govindaraju, M. (2013). An evaluation of cassandra for hadoop. In IEEE International Conference on Cloud Computing, CLOUD (pp. 494–501). https://doi.org/10.1109/CLOUD.2013.31
Dhar, V., & Ghose, A. (2010). sponsored search and market efficiency. Information Systems Research, 21(4), 760–772. https://doi.org/10.1287/isre.1100.0315
Dinh, T. N., Zhang, H., Nguyen, D. T., & Thai, M. T. (2014). Cost-effective viral marketing for time-critical campaigns in large-scale social networks. IEEE/ACM Transactions on Networking, 22(6), 2001–2011. https://doi.org/10.1109/TNET.2013.2290714
Doran, D., Gokhale, S., & Dagnino, A. (2013). Human sensing for smart cities. In Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013 (pp. 1323–1330). https://doi.org/10.1145/2492517.2500240
Dou, Y., Niculescu, M. F., & Wu, D. J. (2013). Engineering optimal network effects via social media features and seeding in markets for digital goods and services. Information Systems Research, 24(1), 164–185. https://doi.org/10.1287/isre.1120.0463
Duwairi, R. M., Marji, R., Sha’Ban, N., & Rushaidat, S. (2014). Sentiment analysis in arabic tweets. In 2014 5th International Conference on Information and Communication Systems, ICICS 2014. https://doi.org/10.1109/IACS.2014.6841964
Easley, D., & Ghosh, A. (2013). Incentives, gamification, and game theory: An economic approach to badge design. In Proceedings of the ACM Conference on Electronic Commerce (pp. 359–376).
Feng, H., & Qian, X. (2014). Mining user-contributed photos for personalized product recommendation. Neurocomputing, 129, 409–420. https://doi.org/10.1016/j.neucom.2013.09.018
Garcia, D., Tessone, C. J., Mavrodiev, P., & Perony, N. (2014). The digital traces of bubbles: Feedback cycles between socio-economic signals in the Bitcoin economy. Journal of the Royal Society Interface, 11(99). https://doi.org/10.1098/rsif.2014.0623
Ghose, A., Goldfarb, A., & Han, S. P. (2013). How is the mobile internet different? Search costs and local activities. Information Systems Research, 24(3), 613–631. https://doi.org/10.1287/isre.1120.0453
Ghose, A., & Ipeirotis, P. G. (2011). Estimating the helpfulness and economic impact of product reviews: Mining text and reviewer characteristics. IEEE Transactions on Knowledge and Data Engineering, 23(10), 1498–1512. https://doi.org/10.1109/TKDE.2010.188
Ghose, A., Ipeirotis, P. G., & Li, B. (2014). Examining the impact of ranking on consumer behavior and search engine revenue. Management Science, 60(7), 1632–1654. https://doi.org/10.1287/mnsc.2013.1828
Goh, K.-Y., Heng, C.-S., & Lin, Z. (2013). Social media brand community and consumer behavior: Quantifying the relative impact of user- and marketer-generated content. Information Systems Research, 24(1), 88–107. https://doi.org/10.1287/isre.1120.0469
Gonçalves Curty, R., & Zhang, P. (2013). Website features that gave rise to social commerce: A historical analysis. Electronic Commerce Research and Applications, 12(4), 260–279. https://doi.org/10.1016/j.elerap.2013.04.001
Gopinath, S., Chintagunta, P. K., & Venkataraman, S. (2013). Blogs, advertising, and local-market movie box office performance. Management Science, 59(12), 2635–2654. https://doi.org/10.1287/mnsc.2013.1732
Guo, L., Zhang, D., Li, G., Tan, K.-L., & Bao, Z. (2015). Location-aware pub/sub system: When continuous moving queries meet dynamic event streams. In Proceedings of the ACM SIGMOD International Conference on Management of Data (Vol. 2015–May, pp. 843–857). https://doi.org/10.1145/2723372.2746481
Hajli, M. (2013). A research framework for social commerce adoption. Information Management & Computer Security, 21(3), 144–154. https://doi.org/10.1108/IMCS-04-2012-0024
Hajli, M. N. (2014b). The role of social support on relationship quality and social commerce. Technological Forecasting and Social Change, 87, 17–27. https://doi.org/10.1016/j.techfore.2014.05.012
Hajli, N. (2015). Social commerce constructs and consumer’s intention to buy. International Journal of Information Management, 35(2), 183–191. https://doi.org/10.1016/j.ijinfomgt.2014.12.005
Hajli, N., & Sims, J. (2015). Social commerce: The transfer of power from sellers to buyers. Technological Forecasting and Social Change, 94, 350–358. https://doi.org/10.1016/j.techfore.2015.01.012
Hassan Zadeh, A., & Sharda, R. (2014). Modeling brand post popularity dynamics in online social networks. Decision Support Systems, 65(C), 59–68. https://doi.org/10.1016/j.dss.2014.05.003
He, W., Shen, J., Tian, X., Li, Y., Akula, V., Yan, G., & Tao, R. (2015). Gaining competitive intelligence from social media data Evidence from two largest retail chains in the world. Industrial Management and Data Systems, 115(9), 1622–1636. https://doi.org/10.1108/IMDS-03-2015-0098
Hew, J.-J., Lee, V.-H., Ooi, K.-B., & Lin, B. (2016). Mobile social commerce: The booster for brand loyalty? Computers in Human Behavior, 59, 142–154. https://doi.org/10.1016/j.chb.2016.01.027
Hodeghatta, U. R. (2013). Sentiment analysis of Hollywood movies on Twitter. In Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013 (pp. 1401–1404). https://doi.org/10.1145/2492517.2500290
Huang, J., Kornfield, R., Szczypka, G., & Emery, S. L. (2014). A cross-sectional examination of marketing of electronic cigarettes on Twitter. Tobacco Control, 23, iii26-iii30. https://doi.org/10.1136/tobaccocontrol-2014-051551
Huang, Z., & Benyoucef, M. (2013a). From e-commerce to social commerce: A close look at design features. Electronic Commerce Research and Applications, 12(4), 246–259. https://doi.org/10.1016/j.elerap.2012.12.003
Huang, Z., & Benyoucef, M. (2015). User preferences of social features on social commerce websites: An empirical study. Technological Forecasting and Social Change, 95, 57–72. https://doi.org/10.1016/j.techfore.2014.03.005
Ikeda, K., Hattori, G., Ono, C., Asoh, H., & Higashino, T. (2013). Twitter user profiling based on text and community mining for market analysis. Knowledge-Based Systems, 51, 35–47. https://doi.org/10.1016/j.knosys.2013.06.020
Jang, H.-J., Sim, J., Lee, Y., & Kwon, O. (2013). Deep sentiment analysis: Mining the causality between personality-value- attitude for analyzing business ads in social media. Expert Systems with Applications, 40(18), 7492–7503. https://doi.org/10.1016/j.eswa.2013.06.069
Jansen, B. J., Sobel, K., & Cook, G. (2011). Classifying ecommerce information sharing behaviour by youths on social networking sites. Journal of Information Science, 37(2), 120–136. https://doi.org/10.1177/0165551510396975
Jin, X., Shen, D., & Zhang, W. (2016). Has microblogging changed stock market behavior? Evidence from China. Physica A: Statistical Mechanics and Its Applications, 452, 151–156. https://doi.org/10.1016/j.physa.2016.02.052
Kaplan, A. M., & Haenlein, M. (2009). The fairyland of Second Life: Virtual social worlds and how to use them. Business Horizons, 52(6), 563–572. https://doi.org/10.1016/j.bushor.2009.07.002
Khadjeh Nassirtoussi, A., Aghabozorgi, S., Ying Wah, T., & Ngo, D. C. L. (2014). Text mining for market prediction: A systematic review. Expert Systems with Applications, 41(16), 7653–7670. https://doi.org/10.1016/j.eswa.2014.06.009
Kim, N., & Kim, W. (2018). Do your social media lead you to make social deal purchases? Consumer-generated social referrals for sales via social commerce. International Journal of Information Management, 39, 38–48. https://doi.org/10.1016/j.ijinfomgt.2017.10.006
Klaus, P. (2013). The case of Amazon.com: Towards a conceptual framework of online customer service experience (OCSE) using the emerging consensus technique (ECT). Journal of Services Marketing, 27(6), 443–457. https://doi.org/10.1108/JSM-02-2012-0030
Kumar, S., Zafarani, R., & Liu, H. (2011). Understanding user migration patterns in social media. In Proceedings of the National Conference on Artificial Intelligence (Vol. 2, pp. 1204–1209).
Kupavskii, A., Ostroumova, L., Umnov, A., Usachev, S., Serdyukov, P., Gusev, G., & Kustarev, A. (2012). Prediction of retweet cascade size over time. In ACM International Conference Proceeding Series (pp. 2335–2338). https://doi.org/10.1145/2396761.2398634
Kwahk, K.-Y., & Ge, X. (2012). The effects of social media on e-commerce: A perspective of social impact theory. In Proceedings of the Annual Hawaii International Conference on System Sciences (pp. 1814–1823). https://doi.org/10.1109/HICSS.2012.564
Lai, L. S.-L. (2010). Social commerce - E-commerce in social media context. World Academy of Science, Engineering and Technology, 72, 39–44.
Lai, L. S. L., & To, W. M. (2015). Content analysis of social media: A grounded theory approach. Journal of Electronic Commerce Research, 16(2), 138–152.
Lam, W., Liu, L., Prasad, S., Rajaraman, A., Vacheri, Z., & Doan, A. H. (2012). Muppet: Map reduce style processing of fast data. In Proceedings of the VLDB Endowment (Vol. 5, pp. 1814–1825). https://doi.org/10.14778/2367502.2367520
Lau, R. Y. K., Li, C., & Liao, S. S. Y. (2014). Social analytics: Learning fuzzy product ontologies for aspect-oriented sentiment analysis. Decision Support Systems, 65(C), 80–94. https://doi.org/10.1016/j.dss.2014.05.005
Lee, S.-Y. T., & Phang, C. W. D. (2015). Leveraging social media for electronic commerce in Asia: Research areas and opportunities. Electronic Commerce Research and Applications, 14(3), 145–149. https://doi.org/10.1016/j.elerap.2015.02.001
Levina, N., & Arriaga, M. (2014). Distinction and status production on user-generated content platforms: Using Bourdieu’s theory of cultural production to understand social dynamics in online fields. Information Systems Research, 25(3), 468–488. https://doi.org/10.1287/isre.2014.0535
Li, Q., Wang, T., Gong, Q., Chen, Y., Lin, Z., & Song, S.-K. (2014). Media-aware quantitative trading based on public Web information. Decision Support Systems, 61(1), 93–105. https://doi.org/10.1016/j.dss.2014.01.013
Li, Q., Wang, T., Li, P., Liu, L., Gong, Q., & Chen, Y. (2014). The effect of news and public mood on stock movements. Information Sciences, 278, 826–840. https://doi.org/10.1016/j.ins.2014.03.096
Li, Y.-M., Chou, C.-L., & Lin, L.-F. (2014). A social recommender mechanism for location-based group commerce. Information Sciences, 274, 125–142. https://doi.org/10.1016/j.ins.2014.02.079
Li, Y.-M., & Li, T.-Y. (2013). Deriving market intelligence from microblogs. Decision Support Systems, 55(1), 206–217. https://doi.org/10.1016/j.dss.2013.01.023
Liang, T.-P., & Turban, E. (2011). Introduction to the special issue social commerce: A research framework for social commerce. International Journal of Electronic Commerce, 16(2), 5–13. https://doi.org/10.2753/JEC1086-4415160201
Lin, X., Li, Y., & Wang, X. (2017). Social commerce research: Definition, research themes and the trends. International Journal of Information Management, 37(3), 190–201. https://doi.org/10.1016/j.ijinfomgt.2016.06.006
Liu, L., Cheung, C. M. K., & Lee, M. K. O. (2016). An empirical investigation of information sharing behavior on social commerce sites. International Journal of Information Management, 36(5), 686–699. https://doi.org/10.1016/j.ijinfomgt.2016.03.013
Lu, Y., Wang, F., & Maciejewski, R. (2014). Business intelligence from social media: A study from the VAST box office challenge. IEEE Computer Graphics and Applications, 34(5), 58–69. https://doi.org/10.1109/MCG.2014.61
Luna-Nevarez, C., & Hyman, M. R. (2012). Common practices in destination website design. Journal of Destination Marketing and Management, 1(1–2), 94–106. https://doi.org/10.1016/j.jdmm.2012.08.002
Luo, X., & Zhang, J. (2013). How do consumer buzz and traffic in social media marketing predict the value of the firm? Journal of Management Information Systems, 30(2), 213–238. https://doi.org/10.2753/MIS0742-1222300208
MacKey, T. K., & Liang, B. A. (2013). Global reach of direct-to-consumer advertising using social media for illicit online drug sales. Journal of Medical Internet Research, 15(5). https://doi.org/10.2196/jmir.2610
Makrehchi, M., Shah, S., & Liao, W. (2013). Stock prediction using event-based sentiment analysis. In Proceedings - 2013 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2013 (Vol. 1, pp. 337–342). https://doi.org/10.1109/WI-IAT.2013.48
Mandiberg, M. (2012). The social media reader. The Social Media Reader.
Mao, Y., Wei, W., Wang, B., & Liu, B. (2012). Correlating S&P 500 stocks with Twitter data. In Proceedings of the 1st ACM International Workshop on Hot Topics on Interdisciplinary Social Networks Research, HotSocial 2012 (pp. 69–72). https://doi.org/10.1145/2392622.2392634
Mikalef, P., Giannakos, M., & Pateli, A. (2013). Shopping and word-of-mouth intentions on social media. Journal of Theoretical and Applied Electronic Commerce Research, 8(1), 17–34. https://doi.org/10.4067/S0718-18762013000100003
Miller, A. R., & Tucker, C. (2013). Active social media management: The case of health care. Information Systems Research, 24(1), 52–70. https://doi.org/10.1287/isre.1120.0466
Michaelidou, N., Siamagka, N. T., & Christodoulides, G. (2011). Usage, barriers and measurement of social media marketing: An exploratory investigation of small and medium B2B brands. Industrial marketing management, 40(7), 1153-1159.
Nadeem, W., Andreini, D., Salo, J., & Laukkanen, T. (2015). Engaging consumers online through websites and social media: A gender study of Italian Generation Y clothing consumers. International Journal of Information Management, 35(4), 432–442. https://doi.org/10.1016/j.ijinfomgt.2015.04.008
Neirotti, P., Raguseo, E., & Paolucci, E. (2016). Are customers’ reviews creating value in the hospitality industry? Exploring the moderating effects of market positioning. International Journal of Information Management, 36(6partA), 1133–1143. https://doi.org/10.1016/j.ijinfomgt.2016.02.010
Neri, F., Aliprandi, C., Capeci, F., Cuadros, M., & By, T. (2012). Sentiment analysis on social media. In Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012 (pp. 919–926). https://doi.org/10.1109/ASONAM.2012.164
Ngo-Ye, T. L., & Sinha, A. P. (2012). Analyzing online review helpfulness using a Regressional ReliefF-enhanced text mining method. ACM Transactions on Management Information Systems, 3(2). https://doi.org/10.1145/2229156.2229158
Ngo-Ye, T. L., & Sinha, A. P. (2014). The influence of reviewer engagement characteristics on online review helpfulness: A text regression model. Decision Support Systems, 61(1), 47–58. https://doi.org/10.1016/j.dss.2014.01.011
Noh, M., Lee, K., Kim, S., & Garrison, G. (2013). Effects of collectivism on actual s-commerce use and the moderating effect of price consciousness. Journal of Electronic Commerce Research, 14(3), 244–260.
Oestreicher-Singer, G., & Sundararajan, A. (2012). The visible hand? Demand effects of recommendation networks in electronic markets. Management Science, 58(11), 1963–1981. https://doi.org/10.1287/mnsc.1120.1536
Pagani, M., & Mirabello, A. (2011). The influence of personal and social-interactive engagement in social TV web sites. International Journal of Electronic Commerce, 16(2), 41–67. https://doi.org/10.2753/JEC1086-4415160203
Parasuraman, A., & Colby, C. L. (2015). An Updated and Streamlined Technology Readiness Index: TRI 2.0. Journal of Service Research, 18(1), 59–74. https://doi.org/10.1177/1094670514539730
Park, H., & Kim, Y.-K. (2014). The role of social network websites in the consumer-brand relationship. Journal of Retailing and Consumer Services, 21(4), 460–467. https://doi.org/10.1016/j.jretconser.2014.03.011
Piotrowicz, W., & Cuthbertson, R. (2014). Introduction to the special issue information technology in retail: Toward omnichannel retailing. International Journal of Electronic Commerce, 18(4), 5–16. https://doi.org/10.2753/JEC1086-4415180400
Pletikosa Cvijikj, I., Dubach Spiegler, E., & Michahelles, F. (2013). Evaluation framework for social media brand presence. Social Network Analysis and Mining, 3(4), 1325–1349. https://doi.org/10.1007/s13278-013-0131-y
Pletikosa Cvijikj, I., & Michahelles, F. (2013). Online engagement factors on Facebook brand pages. Social Network Analysis and Mining, 3(4), 843–861. https://doi.org/10.1007/s13278-013-0098-8
Porshnev, A., Redkin, I., & Shevchenko, A. (2013). Machine learning in prediction of stock market indicators based on historical data and data from twitter sentiment analysis. In Proceedings - IEEE 13th International Conference on Data Mining Workshops, ICDMW 2013 (pp. 440–444). https://doi.org/10.1109/ICDMW.2013.111
Pöyry, E., Parvinen, P., & Malmivaara, T. (2013). Can we get from liking to buying? Behavioral differences in hedonic and utilitarian Facebook usage. Electronic Commerce Research and Applications, 12(4), 224–235. https://doi.org/10.1016/j.elerap.2013.01.003
Qin, L. (2011). Word-of-blog for movies: A predictor and an outcome of box office revenue? Journal of Electronic Commerce Research, 12(3), 187–198.
Rahimi, M. R., Ren, J., Liu, C. H., Vasilakos, A. V., & Venkatasubramanian, N. (2014). Mobile cloud computing: A survey, state of art and future directions. Mobile Networks and Applications, 19(2), 133–143. https://doi.org/10.1007/s11036-013-0477-4
Ranco, G., Aleksovski, D., Caldarelli, G., Grčar, M., & Mozetič, I. (2015). The effects of twitter sentiment on stock price returns. PLoS ONE, 10(9). https://doi.org/10.1371/journal.pone.0138441
Reinhold, O., & Alt, R. (2011). Analytical social CRM: Concept and tool support. In 24th Bled eConference - eFuture: Creating Solutions for the Individual, Organisations and Society, Proceedings (pp. 226–241).
Ribeiro, M. T., Ziviani, N., De Moura, E. S., Hata, I., Lacerda, A., & Veloso, A. (2014). Multiobjective Pareto-efficient approaches for recommender systems. ACM Transactions on Intelligent Systems and Technology, 5(4). https://doi.org/10.1145/2629350
Rosario, A. B., Sotgiu, F., De Valck, K., & Bijmolt, T. H. A. (2016). The effect of electronic word of mouth on sales: A meta-analytic review of platform, product, and metric factors. Journal of Marketing Research, 53(3), 297–318. https://doi.org/10.1509/jmr.14.0380
Royle, J., & Laing, A. (2014). The digital marketing skills gap: Developing a Digital Marketer Model for the communication industries. International Journal of Information Management, 34(2), 65–73. https://doi.org/10.1016/j.ijinfomgt.2013.11.008
Rui, H., & Whinston, A. (2011). Designing a social-broadcasting-based business intelligence system. ACM Transactions on Management Information Systems, 2(4). https://doi.org/10.1145/2070710.2070713
Schuckert, M., Liu, X., & Law, R. (2016). Insights into Suspicious Online Ratings: Direct Evidence from TripAdvisor. Asia Pacific Journal of Tourism Research, 21(3), 259–272. https://doi.org/10.1080/10941665.2015.1029954
Shen, J. (2012). Social comparison, social presence, and enjoyment in the acceptance of social shopping websites. Journal of Electronic Commerce Research, 13(3), 198–212.
Shin, D.-H. (2013). User experience in social commerce: In friends we trust. Behaviour and Information Technology, 32(1), 52–67. https://doi.org/10.1080/0144929X.2012.692167
Sigala, M. (2017). Collaborative commerce in tourism: implications for research and industry. Current Issues in Tourism, 20(4), 346–355. https://doi.org/10.1080/13683500.2014.982522
Slavakis, K., Kim, S.-J., Mateos, G., & Giannakis, G. B. (2014). Stochastic approximation vis-à-vis online learning for big data analytics. IEEE Signal Processing Magazine, 31(6), 124–129. https://doi.org/10.1109/MSP.2014.2345536
Sood, S. (2012). The death of social media in start-up companies and the rise of s-commerce: Convergence of e-commerce, complexity and social media. Journal of Electronic Commerce in Organizations, 10(2), 1–15. https://doi.org/10.4018/jeco.2012040101
Sul, H. K., Dennis, A. R., & Yuan, L. (2014). Trading on twitter: The financial information content of emotion in social media. In Proceedings of the Annual Hawaii International Conference on System Sciences (pp. 806–815). https://doi.org/10.1109/HICSS.2014.107
Tanbeer, S. K., Leung, C. K., & Cameron, J. J. (2014). Interactive Mining of Strong Friends from Social Networks and its Applications in E-Commerce. Journal of Organizational Computing and Electronic Commerce, 24(2–3), 157–173. https://doi.org/10.1080/10919392.2014.896715
Tang, Q., Gu, B., & Whinston, A. (2012). Content contribution for revenue sharing and reputation in social media: A dynamic structural model. Journal of Management Information Systems, 29(2), 41–76. https://doi.org/10.2753/MIS0742-1222290203
Tavana, M., Momeni, E., Rezaeiniya, N., Mirhedayatian, S. M., & Rezaeiniya, H. (2013). A novel hybrid social media platform selection model using fuzzy ANP and COPRAS-G. Expert Systems with Applications, 40(14), 5694–5702. https://doi.org/10.1016/j.eswa.2013.05.015
Teng, S., Khong, K. W., Goh, W. W., & Chong, A. Y. L. (2014). Examining the antecedents of persuasive eWOM messages in social media. Online Information Review, 38(6), 746–768. https://doi.org/10.1108/OIR-04-2014-0089
Trenz, M., & Berger, B. (2013). Analyzing online customer reviews - An interdisciplinary literature review and research agenda. In ECIS 2013 - Proceedings of the 21st European Conference on Information Systems.
Tuarob, S., & Tucker, C. S. (2013). Fad or here to stay: Predicting product market adoption and longevity using large scale, social media data. In Proceedings of the ASME Design Engineering Technical Conference (Vol. 2 B). https://doi.org/10.1115/DETC2013-12661
Turban, E., Bolloju, N., & Liang, T.-P. (2010). Social commerce: An e-commerce perspective. In ACM International Conference Proceeding Series (pp. 33–42). https://doi.org/10.1145/2389376.2389382
Wang, C., & Zhang, P. (2012). The evolution of social commerce: The people, management, technology, and information dimensions. Communications of the Association for Information Systems, 31(1), 105–127.
Wang, Y., & Yu, C. (2017). Social interaction-based consumer decision-making model in social commerce: The role of word of mouth and observational learning. International Journal of Information Management, 37(3), 179–189. https://doi.org/10.1016/j.ijinfomgt.2015.11.005
Wei, Y., Straub, D. W., & Poddar, A. (2011). The power of many: An assessment of managing internet group purchasing. Journal of Electronic Commerce Research, 12(1), 19–43.
Wirtz, B. W., Piehler, R., & Ullrich, S. (2013). Determinants of social media website attractiveness. Journal of Electronic Commerce Research, 14(1), 11–33.
Wright, A. J., Veríssimo, D., Pilfold, K., Parsons, E. C. M., Ventre, K., Cousins, J., … McKinley, E. (2015). Competitive outreach in the 21st century: Why we need conservation marketing. Ocean and Coastal Management, 115, 41–48. https://doi.org/10.1016/j.ocecoaman.2015.06.029
Wu, C., Ye, X., Ren, F., Wan, Y., Ning, P., & Du, Q. (2016). Spatial and social media data analytics of housing prices in Shenzhen, China. PLoS ONE, 11(10). https://doi.org/10.1371/journal.pone.0164553
Wu, Y.-C. J., Shen, J.-P., & Chang, C.-L. (2015). Electronic service quality of Facebook social commerce and collaborative learning. Computers in Human Behavior, 51, 1395–1402. https://doi.org/10.1016/j.chb.2014.10.001
Xiang, Z., Du, Q., Ma, Y., & Fan, W. (2017). A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism. Tourism Management, 58, 51–65. https://doi.org/10.1016/j.tourman.2016.10.001
Xie, K., & Lee, Y.-J. (2015). Social Media and Brand Purchase: Quantifying the Effects of Exposures to Earned and Owned Social Media Activities in a Two-Stage Decision Making Model. Journal of Management Information Systems, 32(2), 204–238. https://doi.org/10.1080/07421222.2015.1063297
Xu, S. X., & Zhang, X. M. (2013). Impact of wikipedia on market information environment: Evidence on management disclosure and investor reaction. MIS Quarterly: Management Information Systems, 37(4), 1043–1068. https://doi.org/10.25300/MISQ/2013/37.4.03
Yadav, M. S., de Valck, K., Hennig-Thurau, T., Hoffman, D. L., & Spann, M. (2013). Social commerce: A contingency framework for assessing marketing potential. Journal of Interactive Marketing, 27(4), 311–323. https://doi.org/10.1016/j.intmar.2013.09.001
Yan, Q., Wu, S., Wang, L., Wu, P., Chen, H., & Wei, G. (2016). E-WOM from e-commerce websites and social media: Which will consumers adopt? Electronic Commerce Research and Applications, 17, 62–73. https://doi.org/10.1016/j.elerap.2016.03.004
Yan, S.-R., Zheng, X.-L., Wang, Y., Song, W. W., & Zhang, W.-Y. (2015). A graph-based comprehensive reputation model: Exploiting the social context of opinions to enhance trust in social commerce. Information Sciences, 318, 51–72. https://doi.org/10.1016/j.ins.2014.09.036
Yan, Z., Xing, M., Zhang, D., & Ma, B. (2015). EXPRS: An extended pagerank method for product feature extraction from online consumer reviews. Information and Management, 52(7), 850–858. https://doi.org/10.1016/j.im.2015.02.002
Yang, C. C., Yang, H., Jiang, L., & Zhang, M. (2012). Social media mining for drug safety signal detection. In International Conference on Information and Knowledge Management, Proceedings (pp. 33–40). https://doi.org/10.1145/2389707.2389714
Yoon, V. Y., Hostler, R. E., Guo, Z., & Guimaraes, T. (2013). Assessing the moderating effect of consumer product knowledge and online shopping experience on using recommendation agents for customer loyalty. Decision Support Systems, 55(4), 883–893. https://doi.org/10.1016/j.dss.2012.12.024
Yu, Y., Duan, W., & Cao, Q. (2013). The impact of social and conventional media on firm equity value: A sentiment analysis approach. Decision Support Systems, 55(4), 919–926. https://doi.org/10.1016/j.dss.2012.12.028
Zhang, H., Kim, G., & Xing, E. P. (2015). Dynamic topic modeling for monitoring market competition from online text and image data. In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (Vol. 2015–Augus, pp. 1425–1434). https://doi.org/10.1145/2783258.2783293
Zhang, H., Lu, Y., Gupta, S., & Zhao, L. (2014). What motivates customers to participate in social commerce? the impact of technological environments and virtual customer experiences. Information and Management, 51(8), 1017–1030. https://doi.org/10.1016/j.im.2014.07.005
Zhang, K. Z. K., Cheung, C. M. K., & Lee, M. K. O. (2014). Examining the moderating effect of inconsistent reviews and its gender differences on consumers’ online shopping decision. International Journal of Information Management, 34(2), 89–98. https://doi.org/10.1016/j.ijinfomgt.2013.12.001
Zhang, W., Li, X., Shen, D., & Teglio, A. (2016). Daily happiness and stock returns: Some international evidence. Physica A: Statistical Mechanics and Its Applications, 460, 201–209. https://doi.org/10.1016/j.physa.2016.05.026
Zhang, Y., & Pennacchiotti, M. (2013a). Predicting purchase behaviors from social media. In WWW 2013 - Proceedings of the 22nd International Conference on World Wide Web (pp. 1521–1531).
Zhao, W. X., Li, S., He, Y., Chang, E. Y., Wen, J.-R., & Li, X. (2016). Connecting Social Media to E-Commerce: Cold-Start Product Recommendation Using Microblogging Information. IEEE Transactions on Knowledge and Data Engineering, 28(5), 1147–1159. https://doi.org/10.1109/TKDE.2015.2508816
Zhao, Z., & Balagué, C. (2015). Designing branded mobile apps: Fundamentals and recommendations. Business Horizons, 58(3), 305–315. https://doi.org/10.1016/j.bushor.2015.01.004
Zhou, L., Zhang, P., & Zimmermann, H.-D. (2013). Social commerce research: An integrated view. Electronic Commerce Research and Applications, 12(2), 61–68.