- Abdou, D., & Jasimuddin, S. M. (2020). The use of the UTAUT model in the adoption of E-Learning technologies: An empirical study in france based banks. Journal of Global Information Management (JGIM), 28(4), 38–51.
Paper not yet in RePEc: Add citation now
- Abdullah, S., Lim, Y. J., Osman, A., Romle, A. R., & Salahuddin, S. N. (2016). Factors influencing online shopping behavior: The mediating role of purchase intention. Procedia Economics and Finance, 35, 401–410. https://doi.org/10.1016/S2212-5671(16)00050-2 .
Paper not yet in RePEc: Add citation now
- Aggawal, R., Pramesh, C.S., & Ranganathan, P. (2017). Common pitfalls in statistical analysis: Logistic regression. https://doi.org/10.4103/picr.PICR_87_17 .
Paper not yet in RePEc: Add citation now
- Ahluwalia, P., & Merhi, M. I. (2020). Understanding country level adoption of E-Commerce: A theoretical model including technological, institutional, and cultural factors. Journal of Global Information Management (JGIM), 28(1), 1–22.
Paper not yet in RePEc: Add citation now
Akram, U., Junaid, M., Zafar, A. U., Li, Z., & Fan, M. (2021). Online purchase intention in Chinese social commerce platforms: Being emotional or rational? Journal of Retailing and Consumer Services, 63, 102669.
- Akroush, M. N., & Al-Devei, M. M. (2015). An integrated model of factors affecting consumer attitudes towards online shopping. Business Process Management Journal, 21(6), 1353–1376. https://doi.org/10.1108/BPMJ-02-2015-0022 .
Paper not yet in RePEc: Add citation now
Akter, S., & Wamba, S. F. (2016). Big data analytics in e-commerce: A systematic review and agenda for future research. https://doi.org/10.1007/s12525-016-0219-0 .
- Akter, S., Dwivedi, Y. K., Biswas, K., Michael, K., Bandara, R. J., & Sajib, S. (2021). Addressing Algorithmic Bias in AI-Driven Customer Management. Journal of Global Information Management (JGIM), 29(6), 1–27.
Paper not yet in RePEc: Add citation now
- Al-Hasan, A., Khuntia, J., & Yim, D. (2021). Cross-culture online knowledge validation and the exclusive practice of stem cell therapy. Journal of Global Information Management (JGIM), 29(2), 194–221.
Paper not yet in RePEc: Add citation now
- Alfonso, V., Boar, C., Frost, J., Gambacorta, L., & Liu, J. (2021). E-commerce in the pandemic and beyond: Online appendix, BIS bulletin no. 36.
Paper not yet in RePEc: Add citation now
- Ali, M., Tarhini, A., Brooks, L., & Kamal, M. M. (2021). Investigating the situated culture of multi-channel customer management: A case study in Egypt. Journal of Global Information Management (JGIM), 29(3), 46–74.
Paper not yet in RePEc: Add citation now
- Alismaili, S. Z., Li, M., Shen, J., Huang, P., He, Q., & Zhan, W. (2020). Organisational-level assessment of cloud computing adoption: Evidence from the Australian SMEs. Journal of Global Information Management (JGIM), 28(2), 73–89.
Paper not yet in RePEc: Add citation now
- Alizadeh, S. H., & Harzevili, N. S. (2018). Mixture of latent multinomial naïve Bayes classifier. Applied Soft Computing. https://doi.org/10.1016/j.asoc.2018.04.020 .
Paper not yet in RePEc: Add citation now
- Aljarah, I., Al-Zoubi, A. M., Faris, H., Hassonah, M. A., Mirjalili, S., & Saadeh, H. (2018). Simultaneous feature selection and support vector machine optimization using the grasshopper optimization algorithm. Cogn Comput, 10, 478–495. https://doi.org/10.1007/s12559-017-9542-9 .
Paper not yet in RePEc: Add citation now
Alt, R., & Zimmermann, H.-D. (2019). Electronic markets on platform competition. Electron Markets, 29, 143–149. https://doi.org/10.1007/s12525-019-00353-y .
- Ariffin, S. K., Mohan, T., & Goh, Y. N. (2018). Influence of consumers’ perceived risk on consumers’ online purchase intention. Journal of Research in Interactive Marketing.
Paper not yet in RePEc: Add citation now
- Baabdullah, A., Davies, G., Dwivedi, Y. K., Kumar, V., Rana, N., & Shareef, M. A. (2019). Purchase intention in an electronic commerce environment: A trade-off between controlling measures and operational performance. Informational Technology & People, 32(6), 1345–1375. https://doi.org/10.1108/ITP-05-2018-0241 .
Paper not yet in RePEc: Add citation now
- Baati, K., & Mohsil, M. (2020). Real-time prediction of online shoppers’ purchasing intention using random forest. In IFIP International Conference on Artificial Intelligence Applications and Innovations (pp. 43–51). Springer, Cham.
Paper not yet in RePEc: Add citation now
Bag, S., Tiwari, M. K., & Chan, F. T. (2019). Predicting the consumer’s purchase intention of durable goods: An attribute-level analysis. Journal of Business Research, 94, 408–419.
- Balgomera, K., Cruz, A. E. D., Santiago, J. E. G., & Fernandez, R. R. (2022). Consumer trust in mobile phone industry: Comparative study on traditional commerce & e-commerce. Journal of Business and Management Studies, 4(2), 100–116.
Paper not yet in RePEc: Add citation now
- Ballestar, M. T., Grau-Carles, Pilar, & Sainz, Jorge. (2018). Predicting customer quality in e-commerce social networks: A machine learning approach. Review of Managerial Science, 13(3), 589–603. https://doi.org/10.1007/s11846-018-0316-x .
Paper not yet in RePEc: Add citation now
Bawack, R. E., Wamba, S. F., Carillo, K. D. A., & Akter, S. (2022). Artificial intelligence in E-Commerce: a bibliometric study and literature review. Electronic Markets, 32, 1–42.
Beaver, J., Jia, Y., Liu, Y.-W., Nanduri, J., & Oka, A. (2020). Microsoft uses machine learning and optimization to reduce e-commerce fraud. INFORMS Journal on Applied Analytics. https://doi.org/10.1287/inte.2019.1017 .
- Belgiu, M., & Dragut, L. (2016). Random forest in remote sensing: A review of applications and future directions. https://doi.org/10.1016/j.isprsjprs.2016.01.011 .
Paper not yet in RePEc: Add citation now
- Boroon, L., Abedin, B., & Erfani, E. (2021). The dark side of using online social networks: A review of individuals’ negative experiences. Journal of Global Information Management (JGIM), 29(6), 1–21.
Paper not yet in RePEc: Add citation now
- Brown, M., Pope, N., & Voges, K. (2003). Buying or browsing?: An exploration of shopping orientations and online purchase intention. European Journal of Marketing, 37(11/12), 1666–1684. https://doi.org/10.1108/03090560310495401 .
Paper not yet in RePEc: Add citation now
- Cai, J., Luo, J., Wang, S., & Yang, S. (2017). Feature selection in machine learning: A new perspective. Neurocomputing. https://doi.org/10.1016/j.neucom.2017.11.077 .
Paper not yet in RePEc: Add citation now
- Chang, C. L., & Wu, S. (2021). Using online social networks to globalize and popularize product brands in different cultural areas: A relational network model. Journal of Global Information Management (JGIM), 29(6), 1–30.
Paper not yet in RePEc: Add citation now
- Changchit, C., Klaus, T., & Treerotchananon, A. (2021). Using customer review systems to support purchase decisions: A comparative study between the US and Thailand. Journal of Global Information Management (JGIM), 29(6), 1–24.
Paper not yet in RePEc: Add citation now
- Chau, N. T., Deng, H., & Tay, R. (2021). A perception-based model for mobile commerce adoption in vietnamese small and medium-sized enterprises. Journal of Global Information Management (JGIM), 29(1), 44–67.
Paper not yet in RePEc: Add citation now
- Chaudhary, A., & Kamal, R. (2016). An improved random forest classifier for multi-class classification. Information Processing in Agriculture. https://doi.org/10.1016/j.inpa.2016.08.002 .
Paper not yet in RePEc: Add citation now
- Chaudhuri, N., Gupta, G., Vamsi, V., & Bose, I. (2021). On the platform but will they buy? Predicting customers’ purchase behavior using deep learning. Decision Support Systems, 149, 113622.
Paper not yet in RePEc: Add citation now
- Chawla, N. V., Chen, Y., Mursalin, M., & Zhang, Y. (2017). Automated epileptic seizure detection using improved correlation-based feature selection with random forest classifier. Neurocomputing. https://doi.org/10.1016/j.neucom.2017.02.053 .
Paper not yet in RePEc: Add citation now
- Chen, C.-W., Chou, S., & Lin, J.-Y. (2015). Female online shoppers: Examining the mediating roles of e-satisfaction and e-trust on e-loyalty development. Internet Research, 25(4), 542–561. https://doi.org/10.1108/IntR-01-2014-0006 .
Paper not yet in RePEc: Add citation now
- Chen, M. Y., & Teng, C. I. (2013). A comprehensive model of the effects of online store image on purchase intention in an e-commerce environment. Electronic Commerce Research, 13(1), 1–23.
Paper not yet in RePEc: Add citation now
Chen, N., & Yang, Y. (2021). The impact of customer experience on consumer purchase intention in cross-border E-commerce—Taking network structural embeddedness as mediator variable. Journal of Retailing and Consumer Services, 59, 102344.
Chen, Y. F., & Chang, S. H. (2016). The online framing effect: The moderating role of warning, brand familiarity, and product type. Electronic Commerce Research, 16(3), 355–374.
- Cheng, G., Cherian, J., Sial, M. S., Mentel, G., Wan, P., Álvarez-Otero, S., & Saleem, U. (2021). The relationship between csr communication on social media, purchase intention, and e-wom in the banking sector of an emerging economy. Journal of Theoretical and Applied Electronic Commerce Research, 16(4), 1025–1041.
Paper not yet in RePEc: Add citation now
- Cheng, L., Hu, H., & Wu, C. (2021). Spammer group detection using machine learning technology for observation of new spammer behavioral features. Journal of Global Information Management (JGIM), 29(2), 61–76.
Paper not yet in RePEc: Add citation now
- Cheng, Y., & Jiang, H. (2021). Customer–brand relationship in the era of artificial intelligence: Understanding the role of chatbot marketing efforts. Journal of Product & Brand Management, 31(2), 252–264.
Paper not yet in RePEc: Add citation now
Chu, S.-C., Sauer, P. L., & Yim, M.Y.-C. (2017). Is augmented reality technology an effective tool for e-commerce? An interactivity and vividness perspective. https://doi.org/10.1016/j.intmar.2017.04.001 .
Dastane, O. (2020). Impact of digital marketing on online purchase intention: Mediation effect of customer relationship management. Journal of Asian Business Strategy, 10, 142–158.
- Dong, M., Du, S., Hou, X., Liu, S., Ma, W., Wei, Q., Wen, H., Zhang, Y., & Zhu, B. (2021). IoT equipment monitoring system based on C5.0 decision tree and time series analysis. IEEE Access. https://doi.org/10.1109/ACCESS.2021.3054044 .
Paper not yet in RePEc: Add citation now
Dospinescu, O., Necula, S.-C., Pavaloaia, V.-D., & Strimbei, C. (2018). Enhancement of e-commerce websites with semantic web technologies. Sustainability. https://doi.org/10.3390/su10061955 .
Dwivedi, Y. K., Ismagilova, E., Hughes, D. L., Carlson, J., Filieri, R., Jacobson, J., & Wang, Y. (2021). Setting the future of digital and social media marketing research: Perspectives and research propositions. International Journal of Information Management, 59, 102168.
- Erlangga, H. (2021). Effect of digital marketing and social media on purchase intention of Smes food products. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(3), 3672–3678.
Paper not yet in RePEc: Add citation now
Esmeli, R., Bader-El-Den, M., & Abdullahi, H. (2021). Towards early purchase intention prediction in online session based retailing systems. Electronic Markets, 31(3), 697–715.
- Fan, W., Lu, B., & Zhou, M. (2015). Social presence, trust, and social commerce purchase intention: An empirical research. Computers in Human Behavior. https://doi.org/10.1016/j.chb.2015.11.057 .
Paper not yet in RePEc: Add citation now
- Faraoni, M., Pellicelli, A. C., Rialti, R., & Zollo, L. (2019). Exploring e-loyalty antecedents in B2C e-commerce: Empirical results from an Italian grocery retailer. British Food Journal, 121(2), 574–589. https://doi.org/10.1108/BFJ-04-2018-0216 .
Paper not yet in RePEc: Add citation now
- Feng, Q., Gong, J., & Liu, J. (2015). Urban flood mapping based on unmanned aerial vehicle remote sensing and random forest classifier-A case of Yuyao. China. https://doi.org/10.3390/w7041437 .
Paper not yet in RePEc: Add citation now
- Gallego-Gomez, C., De-Pablos-Heredero, C., & Montes-Botella, J. L. (2021). The Impact of customer relationship management systems on dynamic capabilities at firms: An application to the banking industry. Journal of Global Information Management (JGIM), 29(1), 103–122.
Paper not yet in RePEc: Add citation now
- Gholami, R., Emrouznejad, A., Alnsour, Y., Kartal, H. B., & Veselova, J. (2020). The impact of smart meter installation on attitude change towards energy consumption behavior among northern ireland households. Journal of Global Information Management (JGIM), 28(4), 21–37.
Paper not yet in RePEc: Add citation now
- Gholami, R., Nishant, R., & Emrouznejad, A. (2021). Modeling residential energy consumption: An application of IT-based solutions and big data analytics for sustainability. Journal of Global Information Management (JGIM), 29(2), 166–193.
Paper not yet in RePEc: Add citation now
- Guo, L., Hua, L., Jia, R., Zhao, B., Wang, X., & Cui, B. (2019, July). Buying or browsing?: Predicting real-time purchasing intent using attention-based deep network with multiple behavior. In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (pp. 1984–1992).
Paper not yet in RePEc: Add citation now
- Guo, Y., & Wang, C. (2020). The impact mechanisms of psychological learning climate on employees’ innovative use of information systems. Journal of Global Information Management (JGIM), 28(2), 52–72.
Paper not yet in RePEc: Add citation now
- Hamami, F., & Muzakki, A. (2021). Machine learning pipeline for online shopper intention classification. In AIP Conference Proceedings (Vol. 2329, No. 1, p. 050014). AIP Publishing LLC.
Paper not yet in RePEc: Add citation now
- Hong, L., Yu, H., Yu, Y., Liang, P., & Xu, J. (2021). The role of customer-task fit between service interaction and value co-creation: Evidence from China. Journal of Global Information Management (JGIM), 29(6), 1–15.
Paper not yet in RePEc: Add citation now
- Hung, W., Tseng, C., Chang, F., & Ho, C. (2021). Effects of utilitarian and hedonic emotion on the use of online banking services. Journal of Global Information Management (JGIM), 29(6), 1–20.
Paper not yet in RePEc: Add citation now
- Ibrahim, O., Mardani, A., Nilashi, M., Roudposhti, V.M., Samad, S., & Streimikiene, D. (2018). A new model for customer purchase intention in e-commerce recommendation agents.
Paper not yet in RePEc: Add citation now
- Islam, M., Kang, M., & Haile, T. T. (2021). Do hedonic or utilitarian types of online product reviews make reviews more helpful?: A new approach to understanding customer review helpfulness on amazon. Journal of Global Information Management (JGIM), 29(6), 1–18.
Paper not yet in RePEc: Add citation now
- Kabir, M. R., Ashraf, F. B., & Ajwad, R. (2019). Analysis of different predicting model for online shoppers’ purchase intention from empirical data. In 2019 22nd International Conference on Computer and Information Technology (ICCIT) (pp. 1–6). IEEE.
Paper not yet in RePEc: Add citation now
- Kamalul Ariffin, S., Mohan, T., & Goh, Y.-N. (2018). Influence of consumers’ perceived risk on consumers’ online purchase intention. Journal of Research in Interactive Marketing, 12(3), 309–327. https://doi.org/10.1108/JRIM-11-2017-0100 .
Paper not yet in RePEc: Add citation now
- Kashyap, A. K., & Kumar, A. (2018). Leveraging utilitarian perspective of online shopping to motivate online shoppers. International Journal of Retail & Distribution Management, 46(3), 247–263. https://doi.org/10.1108/IJRDM-08-2017-0161 .
Paper not yet in RePEc: Add citation now
- Kaur, S., Lal, A. K., & Bedi, S. S. (2017). Do vendor cues influence purchase intention of online shoppers? An empirical study using SOR framework. Journal of Internet Commerce, 16(4), 343–363.
Paper not yet in RePEc: Add citation now
- Kim, J. B. (2012). An empirical study on consumer first purchase intention in online shopping: Integrating initial trust and TAM. Electronic Commerce Research, 12(2), 125–150.
Paper not yet in RePEc: Add citation now
Kondrateva, G., Ammi, C., & Baudier, P. (2020). Understanding restaurant clients’ intention to use mobile applications: A comparative study of France and Russia. Journal of Global Information Management (JGIM), 28(3), 1–16.
- Kumar, A., Kabra, G., Mussada, E. K., Dash, M. K., & Rana, P. S. (2019). Combined artificial bee colony algorithm and machine learning techniques for prediction of online consumer repurchase intention. Neural Computing and Applications, 31(2), 877–890.
Paper not yet in RePEc: Add citation now
- Kumar, U. D. (2017). Business analytics: The science of data-driven decision making. Wiley.
Paper not yet in RePEc: Add citation now
- Lam, H. Y., Tsang, Y. P., Wu, C. H., & Chan, C. Y. (2021). Intelligent E-vendor relationship management for enhancing global B2C E-commerce ecosystems. Journal of Global Information Management (JGIM), 29(3), 1–25.
Paper not yet in RePEc: Add citation now
- Laxman, L. K. P. (2021). Legal and regulatory challenges in facilitating a sustainable ASEAN E-commerce sector. In Handbook of Research on Innovation and Development of E-Commerce and E-Business in ASEAN (pp. 1–25). IGI Global.
Paper not yet in RePEc: Add citation now
- Li, C., Liu, Y., & Du, R. (2021). The effects of review presentation formats on consumers’ purchase intention. Journal of Global Information Management (JGIM), 29(6), 1–20.
Paper not yet in RePEc: Add citation now
- Li, Q., Gu, M., Zhou, K., & Sun, X. (2015). Multi-classes feature engineering with sliding window for purchase prediction in mobile commerce. In 2015 IEEE International Conference on Data Mining Workshop (ICDMW) (pp. 1048–1054). IEEE.
Paper not yet in RePEc: Add citation now
Li, Q., Liang, N., & Li, E. Y. (2018). Does friendship quality matter in social commerce? An experimental study of its effect on purchase intention. Electronic Commerce Research, 18(4), 693–717.
- Li, X., Lu, K., & Shaouf, A. (2016). The effect of web advertising visual design on online purchase intention: An examination across gender. Computers in Human Behavior, 60, 622–634. https://doi.org/10.1016/j.chb.2016.02.090 .
Paper not yet in RePEc: Add citation now
- Liao, S. H., Hu, D. C., Chung, Y. C., & Huang, A. P. (2021). Risk and opportunity for online purchase intention–A moderated mediation model investigation. Telematics and Informatics, 62, 101621.
Paper not yet in RePEc: Add citation now
- Lin, J., Li, T., & Guo, J. (2021). Factors influencing consumers’ continuous purchase intention on fresh food e-commerce platforms: An organic foods-centric empirical investigation. Electronic Commerce Research and Applications, 50, 101103.
Paper not yet in RePEc: Add citation now
- Ling, C., Zhang, T., & Chen, Y. (2019). Customer purchase intent prediction under online multi-channel promotion: A feature-combined deep learning framework. IEEE Access, 7, 112963–112976.
Paper not yet in RePEc: Add citation now
Lissitsa, S., & Kol, O. (2021). Four generational cohorts and hedonic m-shopping: Association between personality traits and purchase intention. Electronic Commerce Research, 21(2), 545–570.
- Liu, Q., Zhang, B., Wang, L., Zhang, X., & Li, Y. (2021). Information cascades and online shopping: A cross-cultural comparative study in China and the United States. Journal of Global Information Management (JGIM), 29(3), 26–45.
Paper not yet in RePEc: Add citation now
- Liu, Y., & Du, R. (2020). Examining the effect of reviewer socioeconomic status disclosure on customers’ purchase intention. Journal of Global Information Management (JGIM), 28(3), 17–35.
Paper not yet in RePEc: Add citation now
- Ma, S., Lin, Y., & Pan, G. (2021). Does cross-border e-commerce contribute to the growth convergence?: An analysis based on Chinese provincial panel data. Journal of Global Information Management (JGIM), 29(5), 86–111.
Paper not yet in RePEc: Add citation now
Meng, L. M., Duan, S., Zhao, Y., Lü, K., & Chen, S. (2021). The impact of online celebrity in livestreaming E-commerce on purchase intention from the perspective of emotional contagion. Journal of Retailing and Consumer Services, 63, 102733.
- Mokryn, O., Bogina, V., & Kuflik, T. (2019). Will this session end with a purchase? Inferring current purchase intent of anonymous visitors. Electronic Commerce Research and Applications, 34, 100836.
Paper not yet in RePEc: Add citation now
- Mou, J., Cui, Y., & Kurcz, K. (2020). Trust, risk and alternative website quality in B-buyer acceptance of cross-border E-commerce. Journal of Global Information Management (JGIM), 28(1), 167–188.
Paper not yet in RePEc: Add citation now
Nagy, S., & Hajdú, N. (2021). Consumer acceptance of the use of artificial intelligence in online shopping: Evidence from Hungary. Amfiteatru Economic, 23(56), 155–173.
- Narang, N. (2020). A study on future and challenges of electronic e-commerce in India. EPRA International Journal of Multidisciplinary Research (IJMR), 6, 58–63.
Paper not yet in RePEc: Add citation now
- Netti, K., & Radhika, Y. (2015). A novel method for minimising loss of accuracy in naïve Bayes classifier. https://doi.org/10.1109/ICCIC.2015.7435801 .
Paper not yet in RePEc: Add citation now
- Noviantoro, T., & Huang, J. P. (2021). Applying data mining techniques to investigate online shopper purchase intention based on clickstream data. Review of Business, Accounting, & Finance, 1(2), 130–159.
Paper not yet in RePEc: Add citation now
- Omigie, N. O., Zo, H., Ciganek, A. P., & Jarupathirun, S. (2020). Understanding the continuance of mobile financial services in Kenya: The roles of utilitarian, hedonic, and personal values. Journal of Global Information Management (JGIM), 28(3), 36–57.
Paper not yet in RePEc: Add citation now
- Pandya, J., & Pandya, R. (2015). C5.0 algorithm to improved decision tree with feature selection and reduced error pruning.
Paper not yet in RePEc: Add citation now
Pillai, R., Sivathanu, B., & Dwivedi, Y. K. (2020). Shopping intention at AI-powered automated retail stores (AIPARS). Journal of Retailing and Consumer Services, 57, 102207.
- Potempa, A., Skolimowska-Kulig, M., & Suchacka, G. (2015). Classification of e-customer sessions based on support vector machine. https://doi.org/10.7148/2015-0594 .
Paper not yet in RePEc: Add citation now
- Rahman, M. S., Hossain, M. A., Zaman, M. H., & Mannan, M. (2020). E-service quality and trust on customer’s patronage intention: Moderation effect of adoption of advanced technologies. Journal of Global Information Management (JGIM), 28(1), 39–55.
Paper not yet in RePEc: Add citation now
- Rehman, I. H., Ahmad, A., Akhter, F., & Aljarallah, A. (2021). A dual-stage SEM-ANN analysis to explore consumer adoption of smart wearable healthcare devices. Journal of Global Information Management (JGIM), 29(6), 1–30.
Paper not yet in RePEc: Add citation now
- Sakar, C. O., Polat, S. O., Katircioglu, M., & Kastro, Y. (2019). Real-time prediction of online shoppers’ purchasing intention using multilayer perceptron and LSTM recurrent neural networks. Neural Computing and Applications, 31(10), 6893–6908.
Paper not yet in RePEc: Add citation now
- Santo, P. E., & Marques, A. M. A. (2021). Determinants of the online purchase intention: hedonic motivations, prices, information and trust. Baltic Journal of Management.
Paper not yet in RePEc: Add citation now
- Sengupta, S. (2020). How Does culture impact customer evaluation in online complaining?: Evidence from Germany and India. Journal of Global Information Management (JGIM), 28(2), 131–159.
Paper not yet in RePEc: Add citation now
- Sethi, R. S., Kaur, J., & Wadera, D. (2018). Purchase intention survey of millennials towards online fashion stores. Academy of Marketing Studies Journal, 22(1), 1–16.
Paper not yet in RePEc: Add citation now
- Shankar, A., Yadav, R., Gupta, M., & Jebarajakirthy, C. (2021). How does online engagement drive consumers’ webrooming intention?: A moderated-mediation approach. Journal of Global Information Management (JGIM), 29(6), 1–25.
Paper not yet in RePEc: Add citation now
Shihab, M. R., & Putri, A. P. (2019). Negative online reviews of popular products: Understanding the effects of review proportion and quality on consumers’ attitude and intention to buy. Electronic Commerce Research, 19(1), 159–187.
- Shin, D. (2021). A cross-national study on the perception of algorithm news in the east and the west. Journal of Global Information Management (JGIM), 29(2), 77–101.
Paper not yet in RePEc: Add citation now
- Siknun, G.P., & Sitanggang, I.S. (2016). Web-based classification application for forest fire data using shiny framework and the C5.0 algorithm. https://doi.org/10.1016/j.proenv.2016.03.084 .
Paper not yet in RePEc: Add citation now
- Soleimani, M. (2021). Buyers’ trust and mistrust in e-commerce platforms: A synthesizing literature review. Information Systems and e-Business Management 1–22.
Paper not yet in RePEc: Add citation now
- Song, P., & Liu, Y. (2020). An XGBoost algorithm for predicting purchasing behaviour on E-commerce platforms. Tehnički vjesnik, 27(5), 1467–1471.
Paper not yet in RePEc: Add citation now
- Srivastava, P. R., & Eachempati, P. (2021). Intelligent employee retention system for attrition rate analysis and churn prediction: An ensemble machine learning and multi-criteria decision-making approach. Journal of Global Information Management (JGIM), 29(6), 1–29.
Paper not yet in RePEc: Add citation now
- Sumarliah, E., Khan, S. Z., & Khan, R. U. (2021). Modest wear e-commerce: Examining online purchase intent in Indonesia. Research Journal of Textile and Apparel.
Paper not yet in RePEc: Add citation now
- Sun, Y., Yu, Z., Li, L., Chen, Y., Kataev, M. Y., Yu, H., & Wang, H. (2021). Technological innovation research: A structural equation modelling approach. Journal of Global Information Management (JGIM), 29(6), 1–22.
Paper not yet in RePEc: Add citation now
- Talukder, M. S., Chiong, R., Corbitt, B., & Bao, Y. (2020). Critical factors influencing the intention to adopt m-Government services by the elderly. Journal of Global Information Management (JGIM), 28(4), 74–94.
Paper not yet in RePEc: Add citation now
- Trivedi, S. K., & Dey, S. (2013). An enhanced genetic programming approach for detecting unsolicited emails. In 2013 IEEE 16th International Conference on Computational Science and Engineering (pp. 1153–1160). IEEE.
Paper not yet in RePEc: Add citation now
- Trivedi, S. K., & Dey, S. (2014). Interaction between feature subset selection techniques and machine learning classifiers for detecting unsolicited emails. ACM SIGAPP Applied Computing Review, 14(1), 53–61.
Paper not yet in RePEc: Add citation now
- Trivedi, S. K., & Dey, S. (2019). A modified content-based evolutionary approach to identify unsolicited emails. Knowledge and Information Systems, 60(3), 1427–1451.
Paper not yet in RePEc: Add citation now
- Trivedi, S. K., & Dey, Sh. (2018). Analysing user sentiment of Indian movie reviews: A probabilistic committee selection model. The Electronic Library, 36(4), 590–606. https://doi.org/10.1108/EL-08-2017-0182 .
Paper not yet in RePEc: Add citation now
- Vali, H., Jingjun (David) Xu., & Yildirim, M. B. (2021). Comparative Reviews vs. Regular Consumer Reviews: Effects of Presentation Format and Review Valence. Journal of Global Information Management (JGIM), 29(6), 1–29.
Paper not yet in RePEc: Add citation now
- Varsha, P. S., Akter, S., Kumar, A., Gochhait, S., & Patagundi, B. (2021). The impact of artificial intelligence on branding: A bibliometric analysis (1982–2019). Journal of Global Information Management (JGIM), 29(4), 221–246.
Paper not yet in RePEc: Add citation now
- Ventre, I., & Kolbe, D. (2020). The impact of perceived usefulness of online reviews, trust and perceived risk on online purchase intention in emerging markets: A Mexican perspective. Journal of International Consumer Marketing, 32(4), 287–299.
Paper not yet in RePEc: Add citation now
Verhagen, T., & Bloemers, D. (2018). Exploring the cognitive and affective bases of online purchase intentions: A hierarchical test across product types. Electronic Commerce Research, 18(3), 537–561.
- Xiao, L., Mou, J., & Huang, L. (2021). Factors influencing chinese online health service use: A valence framework perspective. Journal of Global Information Management (JGIM), 29(5), 138–160.
Paper not yet in RePEc: Add citation now
- Yang, G., Wang, Y., Lu, F., Yu, L., & Ma, S. (2021). What determines the pattern of china’s cross-border E-commence with the world? Journal of Global Information Management (JGIM), 29(5), 55–70.
Paper not yet in RePEc: Add citation now
- Yaseen, A. (2021). Next-wave of E-commerce: Mobile customers churn prediction using machine learning. Lahore Garrison University Research Journal of Computer Science and Information Technology, 5(2), 62–72.
Paper not yet in RePEc: Add citation now
- Zhang, C., & Srite, M. (2021). The role of national culture values and trust in online sharing hospitality platform acceptance. Journal of Global Information Management (JGIM), 29(3), 103–130.
Paper not yet in RePEc: Add citation now
Zhang, D., Pee, L. G., & Cui, L. (2021). Artificial intelligence in E-commerce fulfillment: A case study of resource orchestration at Alibaba’s Smart Warehouse. International Journal of Information Management, 57, 102304.
- Zhao, S., Fang, Y., Zhang, W., & Jiang, H. (2020). Trust, perceived benefit, and purchase intention in C2C E-commerce: An empirical examination in China. Journal of Global Information Management (JGIM), 28(1), 121–141.
Paper not yet in RePEc: Add citation now
- Zheng, B., & Liu, B. (2018). A scalable purchase intention prediction system using extreme gradient boosting machines with browsing content entropy. In 2018 IEEE International Conference on Consumer Electronics (ICCE) (pp. 1–4). IEEE.
Paper not yet in RePEc: Add citation now