|
中文部分
1.36KR. (2020). 2020年中國直播電商行業研究報告. （中國大陸）https://www.36kr.com/p/986332005917833
2.CBNData. (2021). 淘寶直播2021年度報告. （中國大陸）https://www.cbndata.com/report/2633/detail?isReading=report&page=1&readway=stand
3.中信證券. (2020). 中信證券：2019年電商直播行業專題研究報告. （中國大陸）http://www.199it.com/archives/994058.html
4.中消協. (2020). 中消協：直播電商購物消費者滿意度線上調查報告. （中國大陸）http://www.199it.com/archives/1030072.html
5.艾瑞諮詢. (2020). 艾瑞諮詢：2020年中國電商營銷市場分析報告. （中國大陸）http://www.199it.com/archives/1088683.html
6.果集數據. (2021). 2021直播電商年度數據報告. （中國大陸）https://www.163.com/dy/article/GVHNANVN051998SC.html
7.微播易. (2020). 微播易：2020直播電商發展趨勢報告. （中國大陸）http://www.199it.com/archives/1076653.html
英文部分
1.Afzal, W. (2017). Conceptualisation and Measurement of Information Needs: A Literature Review. Journal of the Australian Library and Information
Association, 66(2), 116-138. https://doi.org/10.1080/24750158.2017.1306165
2.Aluri, A., Slevitch, L., & Larzelere, R. (2015). The influence of embedded social media channels on travelers’ gratifications, satisfaction, and purchase
intentions. Cornell Hospitality Quarterly, 57(3), 250–267. https://doi.org/10.1177/1938965515615685
3.Ajzen, I. (1980). Understanding Attitudes and Predicting Social Behavior. Prentice-Hall, Englewood Cliffs.
4.Ajzen, I. (1985). From Intentions to Actions: A theory of Planned Behavior. In Action control. Springer. Verlag, New York.
5.Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
6.Ajzen, I., & Fishbein, M. (1977). Attitude-behavior relations: A theoretical analysis and review of empirical research. Psychological Bulletin, 84(5), 888.
7.Akter, S., D’Ambra, J. & Ray, P. (2010). Service quality of mHealth platforms: development and validation of a hierarchical model using PLS. Electron Markets, 20, 209–227. https://doi.org/10.1007/s12525-010-0043-x
8.Al-dweeri, R. M., Ruiz Moreno, A., Montes, F. J. L., Obeidat, Z. M., & Al-dwairi, K. M. (2019). The effect of e-service quality on Jordanian student’s e-loyalty: an empirical study in online retailing. Industrial Management & Data Systems, 119(4), 902-923. https://doi.org/10.1108/IMDS-12-2017-0598
9.Altay, B. C., Okumuş, A., & Adıgüzel Mercangöz, B. (2021). An intelligent approach for analyzing the impacts of the COVID-19 pandemic on marketing mix elements (7Ps) of the on-demand grocery delivery service. Complex & Intelligent Systems. 8, 129–140. https://doi.org/10.1007/s40747-021-00358-1
10.Asubonteng, P., McCleary, K. J., & Swan, J. E. (1996). SERVQUAL Revisited: A Critical Review of Service Quality. Journal of Services Marketing, 10, 62-81. https://doi.org/10.1108/08876049610148602
11.Bailey, J. E., & Pearson, S. W. (1983). Development of a tool for measuring and analyzing computer user satisfaction. Management Science, 29(5), 530-545.
12.Bauer, H. H., Falk, T., & Hammerschmidt, M. (2006). eTransQual: A transaction process-based approach for capturing service quality in online shopping. Journal of Business Research, 59(7), 866-875. https://doi.org/10.1016/j.jbusres.2006.01.021
13.Baumeister, R. F., & Leary, M. R. (2017). The need to belong: Desire for interpersonal attachments as a fundamental human motivation. Interpersonal Development, 57-89.
14.Berry, L. L. (1983). Relationship marketing. Emerging Perspectives on Services Marketing, 66(3), 33-47.
15.Bitner, M. J. (1992). Servicescapes: The impact of physical surroundings on customers and employees. Journal of Marketing, 56(2), 57-71. https://doi.org/10.1177/002224299205600205
16.Blut, M. (2016). E-Service Quality: Development of a Hierarchical Model. Journal of Retailing, 92(4), 500-517. https://doi.org/10.1016/j.jretai.2016.09.002
17.Blut, M., Chowdhry, N., Mittal, V., & Brock, C. (2015). E-service quality: A meta-analytic review. Journal of Retailing, 91(4), 679-700.
18.Booms, B.H., & Bitner, M.J. (1981). Marketing Strategies and Organizational Structures for Service Firms. in Marketing of Services, Donnelly J. H., and George W. R., eds., Chicago: American Marketing, 47–51.
19.Borden, N. H. (1964). The concept of the marketing mix. Journal of Advertising Research, 4(2), 2-7.
20.Brady, M. K., & Cronin, J. J. (2001). Some New Thoughts on Conceptualizing Perceived Service Quality: A Hierarchical Approach. Journal of Marketing, 65(3), 34-49. https://doi.org/10.1509/jmkg.65.3.34.18334
21.Burke, R. R. (2002). Technology and the customer interface: what consumers want in the physical and virtual store. Journal of the Academy of Marketing Science, 30(4), 411-432.
22.Bründl, S., Matt, C., & Hess, T. (2017). Consumer Use of Social Live Streaming Services: the Influence of Co-Experience and Effectance on Enjoyment. European Conference on Information Systems. 1775-1791. https://aisel.aisnet.org/ecis2017_rp/114
23.Cai, J., Wohn, D. Y., Mittal, A., & Sureshbabu, D. (2018). Utilitarian and hedonic motivations for live streaming shopping. Proceedings of the 2018 ACM international conference on interactive experiences for TV and online video, 81–88. https://doi.org/10.1145/3210825.3210837
24.Camilleri, M. A., & Camilleri, A. C. (2020). The students’ readiness to engage with mobile learning apps. Interactive Technology and Smart Education, 17(1), 28-38. https://doi.org/10.1108/ITSE-06-2019-0027
25.Camilleri, M. A., & Falzon, L. (2021). Understanding motivations to use online streaming services: integrating the technology acceptance model (TAM) and the uses and gratifications theory (UGT). Spanish Journal of Marketing - ESIC, 25(2), 217-238. https://doi.org/10.1108/SJME-04-2020-0074
26.Carlson, J., Rahman, M., Voola, R., & De Vries, N. (2018). Customer engagement behaviours in social media: Capturing innovation opportunities. Journal of Services Marketing, 32(1), 83–94. https://doi.org/10.1108/JSM-02-2017-0059
27.Carman, J. M. (1990). Consumer perceptions of service quality: an assessment of T. Journal of Retailing, 66(1), 33.
28.Chandrruangphen, E., Assarut, N., & Sinthupinyo, S. (2022). The effects of live streaming attributes on consumer trust and shopping intentions for fashion clothing. Cogent Business & Management, 9(1), 2034238.
29.Chang, Y. P., & Zhu, D. H. (2011). Understanding social networking sites adoption in China: A comparison of pre-adoption and post-adoption. Computers in Human Behavior, 27(5), 1840-1848. https://doi.org/10.1016/j.chb.2011.04.006
30.Chen, B., Wang, L., Rasool, H., & Wang, J. (2022). Research on the Impact of Marketing Strategy on Consumers' Impulsive Purchase Behavior in Livestreaming E-commerce. Front Psychol, 13, 905531. https://doi.org/10.3389/fpsyg.2022.905531
31.Chen, C. C., & Lin, Y.-C. (2018). What drives live-stream usage intention? The perspectives of flow, entertainment, social interaction, and endorsement. Telematics and Informatics, 35(1), 293-303. https://doi.org/10.1016/j.tele.2017.12.003
32.Chen, C. D., Zhao, Q., & Wang, J.-L. (2022). How livestreaming increases product sales: role of trust transfer and elaboration likelihood model. Behaviour & Information Technology, 41(3), 558-573. https://doi.org/10.1080/0144929X.2020.1827457
33.Chen, H., Zhang, S., Shao, B., Gao, W., & Xu, Y. (2021). How do interpersonal interaction factors affect buyers' purchase intention in live stream shopping? The mediating effects of swift guanxi. Internet Research. https://doi.org/10.1108/INTR-05-2020-0252
34.Chiang, C. F., & Jang, S. S. (2007). The Effects of Perceived Price and Brand Image on Value and Purchase Intention: Leisure Travelers' Attitudes Toward Online Hotel Booking. Journal of Hospitality & Leisure Marketing, 15(3), 49-69. https://doi.org/10.1300/J150v15n03_04
35.Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern Methods for Business Research, 295(2), 295-336.
36.Chin, W. W. (2010). How to write up and report PLS analyses. In Handbook of Partial Least Squares: Concepts, Methods and Applications. Springer, Heidelberg, Dordrecht, London, New York, 655-690. https://doi.org/10.1007/978-3-540-32827-8_29
37.Cho, E., & Son, J. (2019). The effect of social connectedness on consumer adoption of social commerce in apparel shopping. Fashion and Textiles, 6(1), 14. https://doi.org/10.1186/s40691-019-0171-7
38.Choi, E.-K., Fowler, D., Goh, B., & Yuan, J. (2016). Social Media Marketing: Applying the Uses and Gratifications Theory in the Hotel Industry. Journal of Hospitality Marketing & Management, 25(7), 771-796. https://doi.org/10.1080/19368623.2016.1100102
39.Clemes, M.D., Shu, X., & Gan, C. (2014). Mobile communications: a comprehensive hierarchical modelling approach. Asia Pacific Journal of Marketing and Logistics, 26(1), 114-146.
40.Cristea, I. G., & Mocuta, D. (2018). Customer relationship management. Proceedings of the 31st International Business Information Management Association Conference, IBIMA 2018: Innovation Management and Education Excellence through Vision 2020.Milan, Italy. https://doi.org/10.33619/2414-2948/51/21
41.Chua, A. Y. K., Goh, D. H.-L., & Lee, C. S. (2012). Mobile content contribution and retrieval: An exploratory study using the uses and gratifications paradigm. Information Processing & Management, 48(1), 13-22. https://doi.org/10.1016/j.ipm.2011.04.002
42.Colla, E., & Lapoule, P. (2012). E‐commerce: exploring the critical success factors. International Journal of Retail & Distribution Management, 40(11), 842-864. https://doi.org/10.1108/09590551211267601
43.Collier, J. E., & Bienstock, C. C. (2009). Model Misspecification: Contrasting Formative and Reflective Indicators for a Model of E-Service Quality. Journal of Marketing Theory and Practice, 17(3), 283-293. https://doi.org/10.2753/MTP1069-6679170306
44.Dabholkar, P. A., Thorpe, D. I., & Rentz, J. O. (1996). A measure of service quality for retail stores: Scale development and validation. Journal of the Academy of Marketing Science, 24(1), 3. https://doi.org/10.1007/BF02893933
45.Dagger, T.S., Sweeney, J.C. and Johnson, L.W. (2007). A hierarchical model of health service quality. Journal of Service Research, 10 (2), 123-142.
46.Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008
47.Demangeot, C., & Broderick, A. J. (2010). Consumer perceptions of online shopping environments: A gestalt approach. Psychology & Marketing, 27(2), 117-140.
48.Dhir, A., Khalil, A., Lonka, K., & Tsai, C.-C. (2017). Do educational affordances and gratifications drive intensive Facebook use among adolescents? Computers in Human Behavior, 68, 40-50. https://doi.org/10.1016/j.chb.2016.11.014
49.Dimoka, A., Hong, Y., & Pavlou, P. A. (2012). On Product Uncertainty in Online Markets: Theory and Evidence. MIS Quarterly, 36(2), 395-426. https://doi.org/10.2307/41703461
50.Doll, W. J., & Torkzadeh, G. (1988). The Measurement of End-User Computing Satisfaction. MIS Quarterly, 12(2), 259–274. https://doi.org/10.2307/248851
51.Dong, X., Zhao, H., & Li, T. (2022). The Role of Live-Streaming E-Commerce on Consumers&rsquo； Purchasing Intention regarding Green Agricultural Products. Sustainability, 14(7), 4374. https://www.mdpi.com/2071-1050/14/7/4374
52.ElKheshin, S. A., & Saleeb, N. (2020). Assessing the adoption of e-government using TAM model: case of Egypt. International Journal of Managing Information Technology (IJMIT), 12(1), 1-14.
53.Eryiğit, C., & Fan, Y. (2021). The Effects of Convenience and Risk on E-Loyalty through the Mediating Role of E-Service Quality: A Comparison for China and Turkey. Journal of International Consumer Marketing, 33(5), 613-626. https://doi.org/10.1080/08961530.2021.1879704
54.Falk, R. F., & Miller, N. B. (1992). A Primer for Soft Modeling. University of Akron Press.
55.Fodness, D. & Murray, B. (2007). Passengers' expectations of airport service quality. Journal of Services Marketing, 21(7), 492-506. https://doi.org/10.1108/08876040710824852
56.Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing research, 18(1), 39-50.
57.Gangadharbatla, H. (2008). Facebook me: Collective self-esteem, need to belong, and internet self-efficacy as predictors of the iGeneration’s attitudes toward social networking sites. Journal of Interactive Advertising, 8(2), 5-15.
58.Gay, G. (2018). Culturally Responsive Teaching: Theory, Research, and Practice. Teachers College Press.
59.Geisler, E. (1995). An integrated cost-performance model of research and development evaluation. Omega, 23(3), 281-294. https://doi.org/10.1016/0305-0483(95)00006-A
60.Gilbert, G. R., Veloutsou, C., Goode, M. M. H., & Moutinho, L. (2004). Measuring customer satisfaction in the fast food industry: a cross‐national approach. Journal of Services Marketing, 18(5), 371-383. https://doi.org/10.1108/08876040410548294
61.Grönroos, C. (1984). A service quality model and its marketing implications. European Journal of Marketing, 18(4), 36-44. https://doi.org/10.1108/EUM0000000004784
62.Grönroos, C., & Helle, P. (2012). Return on relationships: conceptual understanding and measurement of mutual gains from relational business engagements. Journal of Business & Industrial Marketing, 27(5), 344-359. https://doi.org/10.1108/08858621211236025
63.Gronroos, C. (1994). From Marketing Mix to Relationship Marketing: Towards a Paradigm Shift in Marketing. Asia-Australia Marketing Journal, 2(1), 9-29. https://doi.org/10.1016/S1320-1646(94)70275-6
64.Guo, J., Li, Y., Xu, Y., & Zeng, K. (2021). How live streaming features impact consumers’ purchase intention in the context of cross-border E-commerce? A research based on SOR theory. Frontiers in Psychology, 12, 767876.
65.Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a Silver Bullet. Journal of Marketing Theory and Practice, 19(2), 139-152. https://doi.org/10.2753/MTP1069-6679190202
66.Hamilton, W. A., Garretson, O., & Kerne, A. (2014). Streaming on twitch: fostering participatory communities of play within live mixed media. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 1315-1324. https://doi.org/10.1145/2556288.2557048
67.Hapsari, R., Clemes, M. D., & Dean, D. L.(2017). The impact of service quality, customer engagement and selected marketing constructs on airline passenger loyalty. International Journal of Quality and Service Sciences, 9(1), 21-40. https://doi.org/10.1108/IJQSS-07-2016-0048
68.Hilvert-Bruce, Z., Neill, J. T., Sjöblom, M., & Hamari, J. (2018). Social motivations of live-streaming viewer engagement on Twitch. Computers in Human Behavior, 84, 58-67. https://doi.org/10.1016/j.chb.2018.02.013
69.Ho, C.-I., & Lee, Y.-L. (2007). The development of an e-travel service quality scale. Tourism Management, 28(6), 1434-1449.
70.Ho, C.-I., Liu, Y., & Chen, M.-C. (2022). Factors Influencing Watching and Purchase Intentions on Live Streaming Platforms: From a 7Ps Marketing Mix Perspective. Information, 13(5), 239. https://www.mdpi.com/2078-2489/13/5/239
71.Hoffman, K. D., Kelley, S. W., & Rotalsky, H. M. (1995). Tracking service failures and employee recovery efforts. Journal of Services Marketing, 9(2), 49-61. https://doi.org/10.1108/08876049510086017
72.Holloway, B. B., & Beatty, S. E. (2008). Satisfiers and dissatisfiers in the online environment: A critical incident assessment. Journal of Service Research, 10(4), 347-364.
73.Hong, Y., & Pavlou, P. A. (2014). Product fit uncertainty in online markets: Nature, effects, and antecedents. Information Systems Research, 25(2), 328-344.
74.Hossain, M. A., & Kim, M. (2018). Does multidimensional service quality generate sustainable use intention for Facebook?. Sustainability, 10(7), 2283.
75.Hossain, M. A. (2019). Effects of uses and gratifications on social media use. PSU Research Review, 3(1), 16-28. https://doi.org/10.1108/PRR-07-2018-0023
76.Hu, M., & Chaudhry, S. S. (2020). Enhancing consumer engagement in e-commerce live streaming via relational bonds. Internet Research, 30(3), 1019-1041. https://doi.org/10.1108/INTR-03-2019-0082
77.Hu, M., Zhang, M., & Wang, Y. (2017). Why do audiences choose to keep watching on live video streaming platforms? An explanation of dual identification framework. Computers in Human Behavior, 75, 594-606. https://doi.org/10.1016/j.chb.2017.06.006
78.Huang, Z., & Benyoucef, M. (2013). From e-commerce to social commerce: A close look at design features. Electronic Commerce Research and Applications, 12(4), 246-259.
79.Hui, B. S., & Wold, H. (1982). Consistency and consistency at large of partial least squares estimates. Systems Under Indirect Observation, Part II, 119-130.
80.Hung, S.-Y., Tsai, J. C.-A., & Chou, S.-T. (2016). Decomposing perceived playfulness: A contextual examination of two social networking sites. Information & Management, 53(6), 698-716. https://doi.org/10.1016/j.im.2016.02.005
81.Imran, M., Abdul Hamid, S. N. B., & Aziz, A. B. (2018). The influence of TQM on export performance of SMEs: Empirical evidence from manufacturing sector in Pakistan using PLS-SEM. Management Science Letters, 1 (1), 483–496. https://doi.org/10.5267/j.msl.2018.3.003
82.Jacob, D. W., Md Fudzee, M. F., Salamat, M. A., Kasim, S., Mahdin, H., & Ramli, A. A. (2017). Modelling End-User of Electronic-Government Service: The Role of Information quality, System Quality and Trust. IOP Conference Series: Materials Science and Engineering, 226, 012096. https://doi.org/10.1088/1757-899x/226/1/012096
83.Jiménez-Barreto, J., Rubio, N., & Campo, S. (2020). Destination brand authenticity: What an experiential simulacrum! A multigroup analysis of its antecedents and outcomes through official online platforms. Tourism Management, 77, 104022. https://doi.org/10.1016/j.tourman.2019.104022
84.Jones, C., Philippon, T., & Venkateswaran, V. (2021). Optimal Mitigation Policies in a Pandemic: Social Distancing and Working from Home. The Review of Financial Studies, 34(11), 5188-5223. https://doi.org/10.1093/rfs/hhab076
85.Jong, C.-Y., Sim, A. K. S., Lew, T. Y., & Nonino, F.. (2019). The relationship between TQM and project performance: Empirical evidence from Malaysian construction industry. Cogent Business & Management, 6(1), 1568655. https://doi.org/10.1080/23311975.2019.1568655
86.Kang, K., Lu, J., Guo, L., & Li, W. (2021). The dynamic effect of interactivity on customer engagement behavior through tie strength: Evidence from live streaming commerce platforms. International Journal of Information Management, 56, 102251.
87.Katz, E., & Blumler, J. G. (1974). The Uses of Mass Communications: Current Perspectives on Gratifications Research. Sage Annual Reviews of Communication Research, 3. https://eric.ed.gov/?id=ED119208
88.Katz, E., Haas, H., & Gurevitch, M. (1973). On the use of the mass media for important things. American Sociological Review, 164-181.
89.Kim, H. S., & Kim, M. (2020). Viewing sports online together? Psychological consequences on social live streaming service usage. Sport Management Review, 23(5), 869-882. https://doi.org/10.1016/j.smr.2019.12.007
90.Kim, Y., Sohn, D., & Choi, S. M. (2011). Cultural difference in motivations for using social network sites: A comparative study of American and Korean college students. Computers in Human Behavior, 27(1), 365-372. https://doi.org/10.1016/j.chb.2010.08.015
91.Ku, Y.-C., Chen, R., & Zhang, H. (2013). Why do users continue using social networking sites? An exploratory study of members in the United States and Taiwan. Information & Management, 50(7), 571-581. https://doi.org/10.1016/j.im.2013.07.011
92.Kumar, V., & Shah D. (2004). Building and sustaining profitable customer loyalty for the 21st century. Journal of Retailing, 80 (4), 317-330. https://doi.org/10.1016/j.jretai.2004.10.007
93.Kushwaha, G. S., & Agrawal, S. R. (2015). An Indian customer surrounding 7P's of service marketing. Journal of Retailing and Consumer Services, 22, 85–95. https://doi.org/10.1016/j.jretconser.2014.10.006
94.Lee, C.-H., & Chen, C.-W. (2021). Impulse Buying Behaviors in Live Streaming Commerce Based on the Stimulus-Organism-Response Framework. Information, 12(6), 241. https://www.mdpi.com/2078-2489/12/6/241
95.Lee, H., Kim, D., Ryu, J., & Lee, S. (2011). Acceptance and rejection of mobile TV among young adults: A case of college students in South Korea. Telematics and Informatics, 28(4), 239-250. https://doi.org/10.1016/j.tele.2010.04.002
96.Lehtinen, U., & Lehtinen, J. R. (1991). Two approaches to service quality dimensions. Service Industries Journal, 11(3), 287-303. http://dx.doi.org/10.1080/02642069100000047
97.Li, X., Zhuang, Y., Lu, B., & Chen, G. (2019). A multi-stage hidden Markov model of customer repurchase motivation in online shopping. Decision Support Systems, 120, 72-80. https://doi.org/10.1016/j.dss.2019.03.012
98.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), 5-14. https://doi.org/10.2753/JEC1086-4415160201
99.Lim, W. M. (2015). Antecedents and consequences of e-shopping: an integrated model. Internet Research, 25(2), 184-217. https://doi.org/10.1108/IntR-11-2013-0247
100.Lin, S.-W., & Lo, L. Y.-S. (2016). Evoking online consumer impulse buying through virtual layout schemes. Behaviour & Information Technology, 35(1), 38-56. https://doi.org/10.1080/0144929X.2015.1056546
101.Liu X., Kim S. H. (2021). Beyond shopping: The motivations and experience of live stream shopping viewers. 2021 13th International Conference on Quality of Multimedia Experience (QoMEX), Montreal, QC, Canada: IEEE, 187-192. https://doi.org/10.1109/QoMEX51781.2021.9465387
102.Loiacono, E. T., Watson, R. T., & Goodhue, D. L. (2002). WebQual: A measure of website quality. Marketing theory and applications, 13(3), 432-438.
103.Lu, B., & Chen, Z. (2021). Live streaming commerce and consumers' purchase intention: An uncertainty reduction perspective. Information & Management, 58(7), 103509. https://doi.org/https://doi.org/10.1016/j.im.2021.103509
104.Luo, M. M., Chea, S., & Chen, J.-S. (2011). Web-based information service adoption: A comparison of the motivational model and the uses and gratifications theory. Decision Support Systems, 51(1), 21-30. https://doi.org/10.1016/j.dss.2010.11.015
105.Lv, X., Zhang, R., Su, Y., & Yang, Y. (2022). Exploring how live streaming affects immediate buying behavior and continuous watching intention: A multigroup analysis. Journal of Travel & Tourism Marketing, 39(1), 109–135. https://doi.org/10.1080/10548408.2022.2052227
106.Madu, C. N., & Madu, A. A. (2002). Dimensions of e‐quality. International Journal of Quality & Reliability Management, 19(3), 246-258. https://doi.org/10.1108/02656710210415668
107.Marangunić, N., & Granić, A. (2015). Technology acceptance model: a literature review from 1986 to 2013. Universal Access in the Information Society, 14(1), 81-95. https://doi.org/10.1007/s10209-014-0348-1
108.Mattila, A. S., & Enz, C. A. (2002). The Role of Emotions in Service
Encounters. Journal of Service Research, 4(4), 268-277. https://doi.org/10.1177/1094670502004004004
109.McCarthy, E. J. (1978). Basic Marketing: a Managerial Approach. RD Irwin.
110.McLuhan, M., & Fiore, Q. (1967). The Medium is the Massage: An Inventory of Effects. Berkeley. In: CA: Gingko Press.
111.Medberg, G., & Grönroos, C. (2020). Value-in-use and service quality: do customers see a difference? Journal of Service Theory and Practice, 30(4/5), 507-529. https://doi.org/10.1108/JSTP-09-2019-0207
112.Mehrabian, A., & Russell, J. A. (1974). The basic emotional impact of environments. Perceptual and Motor Skills, 38(1), 283-301.
113.Mehta, S. C., Lalwani, A. K., & Li Han, S. (2000). Service quality in retailing: relative efficiency of alternative measurement scales for different product‐service environments. International Journal of Retail & Distribution Management, 28(2), 62-72. https://doi.org/10.1108/09590550010315106
114.Meng, L., Duan, S., Zhao, Y., Lu, 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. https://doi.org/10.1016/j.jretconser.2021.102733
115.Ming, J., Jianqiu, Z., Bilal, M., Akram, U. & Fan, M. (2021). How social presence influences impulse buying behavior in live streaming commerce? The role of S-O-R theory. International Journal of Web Information Systems, 17(4), 300-320. https://doi.org/10.1108/IJWIS-02-2021-0012
116.Molinillo, S., Aguilar-Illescas, R., Anaya-Sánchez, R., & Liébana-Cabanillas, F. (2021). Social commerce website design, perceived value and loyalty behavior intentions: The moderating roles of gender, age and frequency of use.
Journal of Retailing and Consumer Services, 63, 102404. https://doi.org/10.1016/j.jretconser.2020.102404
117.Naeem, M. (2019). Role of social networking platforms as tool for enhancing the service quality and purchase intention of customers in Islamic country. Journal of Islamic Marketing, 10(3), 811-826. https://doi.org/10.1108/JIMA-11-2018-0214
118.Oliver, R.L. (2010). Satisfaction: A Behavioral Perspective on the Consumer: A Behavioral Perspective on the Consumer (2nd ed.). Routledge. https://doi.org/10.4324/9781315700892
119.Palmatier, R. W., Dant, R. P., Grewal, D., & Evans, K. R. (2006). Factors Influencing the Effectiveness of Relationship Marketing: A Meta-Analysis. Journal of Marketing, 70(4), 136–153. https://doi.org/10.1509/jmkg.70.4.136
120.Parasuraman, A., & Colby, C. L. (2014). An Updated and Streamlined Technology Readiness Index: TRI 2.0. Journal of Service Research, 18(1), 59-74. https://doi.org/10.1177/1094670514539730
121.Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985). A Conceptual Model of Service Quality and Its Implications for Future Research. Journal of Marketing, 49(4), 41-50. https://doi.org/10.1177/002224298504900403
122.Parasuraman, A., Zeithaml, V. A., & Berry, L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing, 64(1), 12-40.
123.Parasuraman, A., Zeithaml, V. A., & Malhotra, A. (2005). E-S-QUAL: A Multiple-Item Scale for Assessing Electronic Service Quality. Journal of Service Research, 7(3), 213-233. https://doi.org/10.1177/1094670504271156
124.Park, H. J., & Lin, L. M. (2020). The effects of match-ups on the consumer attitudes toward internet celebrities and their live streaming contents in the context of product endorsement. Journal of Retailing and Consumer Services, 52, 101934. https://doi.org/10.1016/j.jretconser.2019.101934
125.Patterson, P. G., & Spreng, R. A. (1997). Modelling the relationship between perceived value, satisfaction and repurchase intentions in a business‐to‐business, services context: An empirical examination. International Journal
of Service Industry Management, 8(5), 414–434. https://doi.org/10.1108/09564239710189835
126.Peterson, R. A., Balasubramanian, S., & Bronnenberg, B. J. (1997). Exploring the implications of the internet for consumer marketing. Journal of the
Academy of Marketing Science, 25(4), 329-346. https://doi.org/10.1177/0092070397254005
127.Pour, M. J., Delavar, F. E., Taheri, G., & Kargaran, S. (2020). Developing a scale of social commerce service quality: an exploratory study. Kybernetes, 50(8), 2232-2263.
128.Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models.
Behavior Research Methods, 40(3), 879-891. https://doi.org/10.3758/BRM.40.3.879
129.Rauniar, R., Rawski, G., Yang, J., & Johnson, B. (2014). Technology acceptance model (TAM) and social media usage: an empirical study on Facebook. Journal of Enterprise Information Management, 27(1), 6-30. https://doi.org/10.1108/JEIM-04-2012-0011
130.Risselada, H., Verhoef, P. C., & Bijmolt, T. H. A. (2014). Dynamic Effects of Social Influence and Direct Marketing on the Adoption of High-Technology
Products. Journal of Marketing, 78(2), 52-68. https://doi.org/10.1509/jm.11.0592
131.Rita, P., Oliveira, T., & Farisa, A. (2019). The impact of e-service quality and customer satisfaction on customer behavior in online shopping. Heliyon, 5(10), e02690. https://doi.org/10.1016/j.heliyon.2019.e02690
132.Rust, R. T., & Oliver, R. L. (1993). Service Quality: New Directions in Theory and Practice. Sage Publications.
133.Santos, J. (2003). E‐service quality: a model of virtual service quality dimensions. Managing Service Quality: An International Journal, 13(3), 233-246. https://doi.org/10.1108/09604520310476490
134.Scheibe, K., Fietkiewicz, K. J., & Stock, W. G. (2016). Information behavior on social live streaming services. Journal of Information Science Theory and Practice, 4(2), 6-20.
135.Schmidt, J. B., & Spreng, R. A. (1996). A proposed model of external consumer information search. Journal of the Academy of Marketing Science, 24(3), 246–256. https://doi.org/10.1177/0092070396243005
136.Shafiee, M. M., & Bazargan, N. A. (2018). Behavioral Customer Loyalty in Online Shopping: The Role of E-Service Quality and E-Recovery. Journal of Theoretical and Applied Electronic Commerce Research, 13(1), 26-38. https://www.mdpi.com/0718-1876/13/1/3
137.Shamah, R. A. M. (2013). A model for applying lean thinking to value creation. International Journal of Lean Six Sigma, 4(2), 204-224. https://doi.org/10.1108/20401461311319365
138.Shen, J., & Eder, L. B. (2011). An examination of factors associated with user acceptance of social shopping websites. International Journal of Technology and Human Interaction (IJTHI), 7(1), 19-36.
139.Shin, S. I., Kim, J. B., Han, S., & Lee, S. (2020). Exploring a mobile phone user's attitude toward watching TV content on a mobile phone–uses and gratifications perspective. Information Technology & People. 34(2), 617-641. https://doi.org/10.1108/ITP-01-2019-0035
140.Shin, N., Park, S., & Kim, H. (2021). Consumer satisfaction–based social commerce service quality management. BRQ Business Research Quarterly, 24(1), 34-52.
141.Shobeiri, S., Mazaheri, E., & Laroche, M. (2018). Creating the right customer experience online: The influence of culture. Journal of Marketing Communications, 24(3), 270–290.
142.Singh, S., Singh, N., Kalinić, Z., & Liébana-Cabanillas, F. J. (2021). Assessing determinants influencing continued use of live streaming services: An extended perceived value theory of streaming addiction. Expert Systems with Applications, 168, 114241. https://doi.org/10.1016/j.eswa.2020.114241
143.Sinha, N., Garg, A. K., & Dhall, N. (2016). Effect of TQM principles on performance of Indian SMEs: The case of automotive supply chain. The TQM Journal, 28(3), 338–359. https://doi.org/10.1108/TQM-10-2014-0086
144.Sirohi, N., McLaughlin, E. W., & Wittink, D. R. (1998). A model of consumer perceptions and store loyalty intentions for a supermarket retailer. Journal of Retailing, 74(2), 223-245. https://doi.org/10.1016/S0022-4359(99)80094-3
145.Siu, N. Y. M., & Tak‐Hing Cheung, J. (2001). A measure of retail service
quality. Marketing Intelligence & Planning, 19(2), 88-96. https://doi.org/10.1108/02634500110385327
146.Sohn, J. W., & Kim, J. K. (2020). Factors that influence purchase intentions
in social commerce. Technology in Society, 63, 101365. https://doi.org/10.1016/j.techsoc.2020.101365
147.Stafford, T. F., Stafford, M. R., & Schkade, L. L. (2004). Determining Uses and Gratifications for the Internet. Decision Sciences, 35(2), 259-288. https://doi.org/10.1111/j.00117315.2004.02524.x
148.Sum C. Y. Hui C. L. (2009). Salespersons' service quality and customer loyalty in fashion chain stores: A study in Hong Kong retail stores. Journal of Fashion Marketing and Management, 13(1), 98-108. https://doi.org/10.1108/13612020910939905
149.Sun, Y., Shao, X., Li, X., Guo, Y., & Nie, K. (2019). How live streaming influences purchase intentions in social commerce: An IT affordance perspective. Electronic Commerce Research and Applications, 37, 100886. https://doi.org/10.1016/j.elerap.2019.100886
150.Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144-176.
151.Tefertiller, A. (2020). Cable cord-cutting and streaming adoption: Advertising avoidance and technology acceptance in television innovation. Telematics and Informatics, 51, 101416. https://doi.org/10.1016/j.tele.2020.101416
152.Tenenhaus, M. (2008). Component-based structural equation modeling. Total Quality Management, 19(7-8), 871-886. https://doi.org/10.1080/14783360802159543
153.Theodosiou, M., Katsikea, E., Samiee, S., & Makri, K. (2019). A Comparison of Formative Versus Reflective Approaches for the Measurement of Electronic Service Quality. Journal of Interactive Marketing, 47, 53-67. https://doi.org/10.1016/j.intmar.2019.03.004
154.Umashankar, N., Ward, M. K., & Dahl, D. W. (2017). The Benefit of Becoming Friends: Complaining after Service Failures Leads Customers with Strong Ties to Increase Loyalty. Journal of Marketing, 81(6), 79-98. https://doi.org/10.1509/jm.16.0125
155.van Riel, A. C. R., Lemmink, J., & Ouwersloot, H. (2001). Consumer Evaluations of Service Brand Extensions. Journal of Service Research, 3(3), 220–231. https://doi.org/10.1177/109467050133003
156.Voss, G. B., Parasuraman, A., & Grewal, D. (1998). The Roles of Price, Performance, and Expectations in Determining Satisfaction in Service
Exchanges. Journal of Marketing, 62(4), 46-61. https://doi.org/10.1177/002224299806200404
157.Wang, H., Ding, J., Akram, U., Yue, X., & Chen, Y. (2021). An Empirical Study on the Impact of E-Commerce Live Features on Consumers’ Purchase Intention: From the Perspective of Flow Experience and Social Presence. Information, 12(8), 324. https://www.mdpi.com/2078-2489/12/8/324
158.Weiredian. (2020). 2020 network attention analysis report of live streaming e-commerce industry. Retrieved July 26, 2022, from https://games.sina.com.cn/2021-02-04/detail-i-ikftpnny4543592.shtml
159.Weiredian. (2021). Network Attention Analysis report of live streaming e-commerce industry in Q1 2021. Retrieved July 26, 2022 from https://www.woshipm.com/it/4739655.html
160.Wold, H. (1975). Soft Modelling by Latent Variables: The Non-Linear Iterative Partial Least Squares (NIPALS) Approach. Journal of Applied Probability, 12(S1), 117-142. https://doi.org/10.1017/S0021900200047604
161.Wolfinbarger, M., & Gilly, M. C. (2003). eTailQ: dimensionalizing, measuring and predicting etail quality. Journal of Retailing, 79(3), 183-198. https://doi.org/10.1016/S0022-4359(03)00034-4
162.Wongkitrungrueng, A., & Assarut, N. (2020). The role of live streaming in building consumer trust and engagement with social commerce sellers. Journal of Business Research, 117, 543-556. https://doi.org/10.1016/j.jbusres.2018.08.032
163.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.
164.Xiang, L., Zheng, X., Lee, M. K. O., & Zhao, D. (2016). Exploring consumers’ impulse buying behavior on social commerce platform: The role of parasocial interaction. International Journal of Information Management, 36(3), 333–347. https://doi.org/10.1016/j.ijinfomgt.2015.11.002
165.Xu, X., Wu, J.-H., & Li, Q. (2020). What drives consumer shopping behavior in live streaming commerce? Journal of Electronic Commerce Research, 21(3), 144-167.
166.Yang, H., & Lee, H. (2018). Exploring user acceptance of streaming media devices: an extended perspective of flow theory. Information Systems and e-Business Management, 16(1), 1-27. https://doi.org/10.1007/s10257-017-0339-x
167.Ye, S., Lei, S. I., Shen, H., & Xiao, H. (2020). Social presence, telepresence and customers’ intention to purchase online peer-to-peer accommodation: A mediating model. Journal of Hospitality and Tourism Management, 42, 119-129. https://doi.org/10.1016/j.jhtm.2019.11.008
168.Young, D. L., Goodie, A. S., Hall, D. B., & Wu, E. (2012). Decision making under time pressure, modeled in a prospect theory framework. Organizational
Behavior and Human Decision Processes, 118(2), 179-188. https://doi.org/10.1016/j.obhdp.2012.03.005
169.Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: A means-end model and synthesis of evidence. Journal of Marketing, 52(3), 2–22. https://doi.org/10.1177/002224298805200302
170.Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1996). The Behavioral Consequences of Service Quality. Journal of Marketing, 60(2), 31-46. https://doi.org/10.1177/002224299606000203
171.Zeithaml, V. A., Parasuraman, A., & Malhotra, A. (2002). Service Quality Delivery through Web Sites: A Critical Review of Extant Knowledge. Journal
of the Academy of Marketing Science, 30(4), 362-375. https://doi.org/10.1177/009207002236911
172.Zhang, M., Qin, F., Wang, G. A., & Luo, C. (2020). The impact of live video streaming on online purchase intention. The Service Industries Journal, 40(9-10), 656-681. https://doi.org/10.1080/02642069.2019.1576642
173.Zhang, M., Sun, L., Qin, F., & Wang, G. A. (2020). E-service quality on live streaming platforms: swift guanxi perspective. Journal of Services Marketing. 35(3), 312-324. https://doi.org/10.1108/JSM-01-2020-0009
174.Zhang, Y., Xiao, C., & Zhou, G. (2020). Willingness to pay a price premium for energy-saving appliances: Role of perceived value and energy efficiency
labeling. Journal of Cleaner Production, 242, 118555. https://doi.org/https://doi.org/10.1016/j.jclepro.2019.118555
175.Zheng, Q., Chen, J., Zhang, R., & Wang, H. H. (2020). What factors affect Chinese consumers’ online grocery shopping? Product attributes, e-vendor characteristics and consumer perceptions. China Agricultural Economic Review, 12(2), 193-213. https://doi.org/10.1108/CAER-09-2018-0201
176.Zhou, L., Wang, W., Xu, J., Liu, T., & Gu, J. (2018). Perceived information transparency in B2C e-commerce: An empirical investigation. Information & Management, 55(7), 912-927. https://doi.org/10.1016/j.im.2018.04.005
|