Digital platforms for business-to-business markets: A systematic review and future research agenda

Shree, Deep; Singh, Rajesh Kumar; Paul, Justin; Hao, Andy Wei; Xu, Shichun

doi:10.1016/j.jbusres.2021.08.031

Cited by 77 publications

(57 citation statements)

References 104 publications

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“…Customization enterprises can focus their resources on the cultivation of core competitiveness. Its mode is shown in Figure 3: (1) Market Survey (MS) [26,27]: this method is the most basic, which can be either an interview survey or an observation survey. The interview survey method designs a Questionnaire Survey (QS) according to 5W1H and "internal/external" to intuitively express the demand for information, thereby fully mining customers' potential demands to improve customers' personalization and customer satisfaction.…”

Section: A Overview Of MCmentioning

confidence: 99%

Mass Customization-Oriented Customer Demand Response Service Platform Based on Cloud Computing and Internet of Things

Hong-yi

Fan

2022

IEEE Access

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The purpose is to establish Mass Customization (MC)-oriented Customer Demand Response (CDR) service platform based on Cloud Computing (CC) and the Internet of Things (IoT). Firstly, the MCoriented Demand Response (DR) process and the characteristics of CC are analyzed. Secondly, an MCoriented CDR service platform system based on CC and IoT is proposed. Finally, the edge-cloud collaborative computing method is used to maintain the efficiency and stability of the CC platform, and the proposed method is compared with other state-of-art algorithms to further prove its effectiveness. The results show that the parameters φ and V have a significant impact on the queue size and operation cost. Compared with other methods, the operation cost of the proposed edge-cloud collaborative computing method is relatively low. Thus, the proposed edge-cloud collaborative computing method is more applicable in high-speed and low-speed data; it can also improve the resource utilization of the Data Center (DC) and reduce the operation cost. The research results provide a basis for the establishment of the MCoriented CDR service platform.

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Section: A Overview Of MCmentioning

confidence: 99%

Mass Customization-Oriented Customer Demand Response Service Platform Based on Cloud Computing and Internet of Things

Hong-yi

Fan

2022

IEEE Access

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“…When designing the digital platform, the process of storing, analyzing, and transforming data into useful knowledge for effective decision-making while dealing with regulatory issues of knowledge protection, data privacy, and security is the research problem 18,19 we identified in Section 1. Considering this problem, tokenization is applied in the DSS to facilitate the algorithm recommendation.…”

Section: Algorithm Recommendationmentioning

confidence: 99%

“…Furthermore, the regulatory issues of knowledge protection, data privacy, and security are needed to consider when designing a digital platform. 18,19 To solve above-mentioned research problems, this paper presents a Web-based and Cloudbased DSS for consistency and consensus-based algorithms for GDM with HFLPRs, from design to implementation. Our work provides an online platform for users to test, compare and evaluate different research work, and for researchers to get feedback on their work.…”

Section: Introductionmentioning

confidence: 99%

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A cloud‐based and web‐based group decision support system in multilingual environment with hesitant fuzzy linguistic preference relations

Liu

Han

Meng

et al. 2021

Int J of Intelligent Sys

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“…Platforms coordinate work planning within project tasks and allow for arbitration when disputes arise [46]. As Shree et al (2021) [47] pointed out, the main factor in the success of digital platforms is customer focus and loyalty. Moreover, given customer focus and personalization, each customer has a different expectation for the product.…”

Section: Introductionmentioning

confidence: 99%

An analysis of factors influencing the development of self-employment digitalization based on fuzzy logic

2022

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Self-employment in the Russian Federation is a special tax regime; tax on personal income is a simplified form of entrepreneurship. The self-employed are often associated with freelancers. The exponential growth of information increases uncertainty, and the development of digitalization levels out uncertainty. This work analyses the factors influencing the digitalization development of self-employment as an integral indicator that can affect the sustainability of self-employment. The main method used is a topological method based on the polymerase chain reaction method, as well as the model based on fuzzy sets theory – Mamdani fuzzy inference algorithms. The data for the study were collected through a survey posted on Google Forms. The respondents were experts in the self-employment sector. Eight people participated in the survey (4 – self-employed; 4 – university professors). The self-employed comprised the following areas: developer – 1; service worker – 1; online marketer – 1; musician, event host – 1. Further calculations were performed in Mathlab. According to the study results, the level of factors in the development of self-employed digitalization is 0.502, which corresponds to the third interval of the five-level classifier and has growth potential.

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Digital platforms for business-to-business markets: A systematic review and future research agenda

Cited by 77 publications

References 104 publications

Mass Customization-Oriented Customer Demand Response Service Platform Based on Cloud Computing and Internet of Things

Mass Customization-Oriented Customer Demand Response Service Platform Based on Cloud Computing and Internet of Things

A cloud‐based and web‐based group decision support system in multilingual environment with hesitant fuzzy linguistic preference relations

An analysis of factors influencing the development of self-employment digitalization based on fuzzy logic

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