A Hybrid MCDM Model for Live-Streamer Selection via the Fuzzy Delphi Method, AHP, and TOPSIS
Source abstract
Abstract
The development of the Internet is a key revolution of the 20th century. The Internet has led to a boom in e-commerce. Online shopping is generally the most popular shopping option for consumers. The coronavirus disease 2019 (COVID-19) pandemic has resulted in adopting various measures, such as lockdown and stay-at-home orders, in various countries. This has led to changes in people’s consumption habits. In Taiwan, consumer behavior has also rapidly shifted to online shopping after the outbreak of the COVID-19. As livestreaming breaks time and space barriers, its real-time, interactive, and authentic features are unparalleled compared to other marketing methods, thereby creating a brand-new shopping experience for consumers. Accordingly, livestream shopping, a new consumption model, has developed and become an essential part of people’s daily lives. Live-streamers, who are similar to salespersons in traditional markets, play a vital role in e-commerce livestreaming. The success of livestream shopping has highlighted the importance of live-streamers. The competition among live-streamers has become more intense because of the arrival of many newcomers. Thus, operators must make careful hiring decisions. However, no related literature in the past has investigated this important topic. Therefore, this study applied a hybrid multi-criteria decision-making (MCDM) model comprising the fuzzy Delphi method (screen the selection criteria), analytic hierarchy process (AHP) (obtain the weight of each dimension and criterion), and technique for order preference by similarity to ideal solution (TOPSIS) (rank the alternatives) to assist the managers of shopping websites in selecting live-streamers. We interviewed the managers of shopping websites and reviewed the related literature to compile the selection criteria. Following the fuzzy Delphi method, 15 important selection criteria were retained based on the 30 managers’ opinions. Further, the criteria were classified into dimensions based on the previous literature and interviews conducted on managers to establish a hierarchical framework. On the basis of this hierarchical framework, AHP and TOPSIS were applied to help a case company select live-streamers. A comparative analysis between the outcomes from AHP and AHP/TOPSIS was also conducted in this study. This study is the first empirical study on live-streamers’ selection and adds to the literature on livestreaming.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Technology Adoption and User Behaviour · Multi-Criteria Decision Making · Digital Marketing and Social Media
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Razak Faculty of Technology and Informatics, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia
Department of New Media and Communication Administration, Ming Chuan University, Taipei 111, Taiwan
References (53)
Show source-provided references
1. The mediating effects of internet information overload on internet shopping decision
2. A behavioral model of consumer’s usage of shopping website
3. Eye tracking study on the internet heavy users’ cognitive processing of information and navigational patterns of online shopping websites in Taiwan
4. The impact of the rise of online shopping on the 3C physical stores
5. The study of on online shopping platform marketing strategy of baking industry
6. Research on the relationship between online service quality and electronic word-of-mouth and online customer loyalty-Take JD e-commerce platform as an example
7. Types of users’ perception of shopping website aesthetics
8. The analysis of shopping website design according to PCM matrix
9. A preliminary study of legal issues on Facebook live shopping consumer dispute
10. Are you watching live stream shopping? An investigation of influential factors on audiences’ trust and loyalty intention from elaboration likelihood model perspective
11. Gong, X., Ye, Z., Liu, K., and Wu, N. (2020). The effects of live platform exterior design on sustainable impulse buying: Exploring the mechanisms of self-efficacy and psychological ownership. Sustainability, 12.10.3390/su12062406 ↗
12. How live streaming influences purchase intentions in social commerce: An IT affordance perspective10.1016/j.elerap.2019.100886 ↗
13. To shop or not: Understanding Chinese consumers’ live-stream shopping intentions from the perspectives of uses and gratifications, perceived network size, perceptions of digital celebrities, and shopping orientations10.1016/j.tele.2021.101562 ↗
14. A study on the influence of e-commerce live streaming on consumer repurchase intentions10.5539/ijms.v12n4p48 ↗
15. Enhancing consumer engagement in e-commerce live streaming via relational bonds10.1108/INTR-03-2019-0082 ↗
16. A new measure of divergence with its application to multi-criteria decision making under fuzzy environment10.1007/s00521-016-2311-y ↗
17. The TOPSIS analysis on regional disparity of economic development in Zhejiang province
18. A hybrid framework for evaluating corporate sustainability using multi-criteria decision making10.1007/s10668-021-01311-5 ↗
19. Lin, C.J., Belis, T.T., Caesaron, D., Jiang, B.C., and Kuo, T.C. (2020). Development of sustainability indicators for employee-activity based production process using fuzzy Delphi method. Sustainability, 12.10.3390/su12166378 ↗
20. Bernal, R., San-Jose, L., and Retolaza, J.L. (2019). Improvement actions for a more social and sustainable public procurement: A Delphi analysis. Sustainability, 11.10.3390/su11154069 ↗
21. Culture-led urban regeneration strategy: An evaluation of the management strategies and performance of urban regeneration stations in Taipei City10.1016/j.habitatint.2019.01.003 ↗
22. Fuzzy sets10.1016/S0019-9958(65)90241-X ↗
23. Liang, G.S., Ding, J.F., and Wang, S.M. (2021). Quantitative Research Methods: Theory and Applications, National Taiwan Ocean University.
24. Tsai, H.C., Lee, A.S., Lee, H.N., Chen, C.N., and Liu, Y.C. (2020). An application of the fuzzy Delphi method and fuzzy AHP on the discussion of training indicators for the regional competition, Taiwan national skills competition, in the trade of joinery. Sustainability, 12.10.3390/su12104290 ↗
25. Identifying sustainable solid waste management barriers in practice using the fuzzy Delphi method10.1016/j.resconrec.2019.104625 ↗
26. Towards a unified criteria model for usability evaluation in the context of open source software based on a fuzzy Delphi method10.1016/j.infsof.2020.106453 ↗
27. Green supplier selection using fuzzy Delphi method for developing sustainable supply chain10.5267/j.dsl.2020.10.003 ↗
28. The use of a hybrid MCDM model for public relations personnel selection10.15388/Informatica.2015.54 ↗
29. A hybrid MCDM approach for Taiwanese tour guides selection
30. A novel hybrid MCDM model to select celebrity endorser for airlines
31. The selection of gamers for professional esports teams
32. Wu, L.C., Chang, K.L., and Liao, S.K. (2020). A hybrid MCDM model to select optimal hosts of variety shows in the social media era. Symmetry, 12.10.3390/sym12010125 ↗
33. Identification and analysis of reverse logistics barriers using fuzzy Delphi method and AHP10.1016/j.resconrec.2015.05.021 ↗
34. Tscheikner-Gratl, F., Egger, P., Rauch, W., and Kleidorfer, M. (2017). Comparison of multi-criteria decision support methods for integrated rehabilitation prioritization. Water, 9.10.3390/w9020068 ↗
35. Methods dealing with complexity in selecting joint venture contractors for large-scale infrastructure projects10.1155/2018/8705134 ↗
36. Survey on fuzzy TOPSIS state-of-the-art between 2007 and 201710.1016/j.cor.2018.12.019 ↗
37. Porphyry Cu potential area selection using the combine AHP-TOPSIS methods: A case study in Siahrud area (NW, Iran)10.1007/s12145-014-0153-7 ↗
38. Digital camera evaluation base on AHP and TOPSIS
39. Decision support system for the selection of outstanding students using the AHP-TOPSIS combination method10.24843/LKJITI.2019.v10.i01.p05 ↗
40. Tsai, J.F., Wang, C.P., Chang, K.L., and Hu, Y.C. (2021). Selecting bloggers for hotels via an innovative mixed MCDM model. Mathematics, 9.10.3390/math9131555 ↗
41. A joint fuzzy AHP approach in prioritizing urban off-street parking sites
42. A study of the critical operational indicators on the outsourced sport venues during its developing period
43. A study comparing the Delphi method and fuzzy Delphi method
44. A study on the establishment for green transport recreation route planning indicators by applying fuzzy Delphi method and analytic network process
45. A study on constructing the evaluation indicators for interns’ professional skills on the parent-child centers practicum- The application of fuzzy Delphi method
46. A review of fuzzy AHP methods for decision-making with subjective judgements10.1016/j.eswa.2020.113738 ↗
47. Saaty, T.L. (1980). The Analytic Hierarchy Process, McGraw-Hill.10.21236/ADA214804 ↗
48. Wang, C.N., Nguyen, N.A.T., Dang, T.T., and Lu, C.M. (2021). A compromised decision-making approach to third-party logistics selection in sustainable supply chain using fuzzy AHP and fuzzy VIKOR methods. Mathematics, 9.10.3390/math9080886 ↗
49. Hwang, C.L., and Yoon, K. (1981). Multiple Attribute Decision Making, Methods and Applications, Lecture Notes in Economics and Mathematical Systems, Springer.10.1007/978-3-642-48318-9 ↗
50. Rehman, S., Khan, S.A., and Alhems, L.M. (2020). Application of TOPSIS approach to multi-criteria selection of wind turbines for on-shore sites. Appl. Sci., 10.10.3390/app10217595 ↗
51. Using TOPSIS approaches for predictive porphyry Cu potential mapping: A case study in Ahar-Arasbaran area (NW, Iran)10.1016/j.cageo.2012.05.024 ↗
52. Selecting the hosts of Taiwan TV-shopping channels by analytic network process
53. Applying fuzzy multi-criteria decision method to the evaluation of the hosts of Taiwan TV-shopping channels