Onsite/offsite social commerce adoption for SMEs using fuzzy linguistic decision making in complex framework
Journal article
Hussain, Walayat and Merigó, Jose M.. (2023). Onsite/offsite social commerce adoption for SMEs using fuzzy linguistic decision making in complex framework. Journal of Ambient Intelligence and Humanized Computing. 14, pp. 12875-12894. https://doi.org/10.1007/s12652-022-04157-5
Authors | Hussain, Walayat and Merigó, Jose M. |
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Abstract | There has been a growing social commerce adoption trend among SMEs for few years. However, it is often a challenging strategic task for SMEs to choose the right type of social commerce. SMEs usually have a limited budget, technical skills and resources and want to maximise productivity with those limited resources. There is much literature that discusses the social commerce adoption strategy for SMEs. However, there is no work to enable SMEs to choose social commerce—onsite/offsite or hybrid strategy. Moreover, very few studies allow the decision-makers to handle uncertain, complex nonlinear relationships of social commerce adoption factors. The paper proposes a fuzzy linguistic multi-criteria group decision-making in a complex framework for onsite, offsite social commerce adoption to address the problem. The proposed approach uses a novel hybrid approach by combining FAHP, FOWA and selection criteria of the technological–organisation–environment (TOE) framework. Unlike previous methods, the proposed approach uses the decision maker's attitudinal characteristics and recommends intelligently using the OWA operator. The approach further demonstrates the decision behaviour of the decision-makers with Fuzzy Minimum (FMin), Fuzzy Maximum (FMax), Laplace criteria, Hurwicz criteria, FWA, FOWA and FPOWA. The framework enables the SMEs to choose the right type of social commerce considering TOE factors that help them build a stronger relationship with current and potential customers. The approach's applicability is demonstrated using a case study of three SMEs seeking to adopt a social commerce type. The analysis results indicate the proposed approach's effectiveness in handling uncertain, complex nonlinear decisions in social commerce adoption. |
Year | 2023 |
Journal | Journal of Ambient Intelligence and Humanized Computing |
Journal citation | 14, pp. 12875-12894 |
Publisher | Springer |
ISSN | 1868-5137 |
Digital Object Identifier (DOI) | https://doi.org/10.1007/s12652-022-04157-5 |
PubMed ID | 37360779 |
Scopus EID | 2-s2.0-85133663798 |
Open access | Published as ‘gold’ (paid) open access |
Page range | 12875-12894 |
Publisher's version | License File Access Level Open |
Output status | Published |
Publication dates | |
Online | 09 Jul 2022 |
Publication process dates | |
Accepted | 09 Jun 2022 |
Deposited | 17 Jul 2023 |
https://acuresearchbank.acu.edu.au/item/8z4yx/onsite-offsite-social-commerce-adoption-for-smes-using-fuzzy-linguistic-decision-making-in-complex-framework
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Publisher's version
OA_Hussain_2022_Onsite_offsite_social_commerce_adoption_for.pdf | |
License: CC BY 4.0 | |
File access level: Open |
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