What is stopping us from Implementing Society 5.0?: A mixed method study

Q4 Mathematics

Model Assisted Statistics and Applications Pub Date : 2022-12-05 DOI:10.3233/mas-220402

V. Agarwal, Snigdha Malhotra, A. Kaul

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引用次数: 0

Abstract

With growing concern for society as a whole business organizations have been forced to think about their contribution towards society apart from their own profits. This concept has been conceptualized as Society 5.0 in the more recent times. The organizations need to have a more human-centered approach in order to establish themselves in the market today. This is an emerging topic and therefore limited research has been done in this area in the literature. The aim of the current research is to fill up this research gap. The study tries to highlight the impediments in implementation of society 5.0 in the emerging economies. The research has been carried in two steps. In the first step the themes have been generated through NVIVO software. Subsequently the themes generated are taken as the factors to be prioritized in the cause-and-effect groups through a multi-criteria decision-making approach, namely Fuzzy-DEMATEL. The case study being considered for the Indian situation solicited experts for their involvement in developing the themes and also used their evaluation as input to categorise the components into cause – effect categories.

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是什么阻止了我们实施Society 5.0？：混合方法研究

随着对整个社会的日益关注，商业组织被迫在考虑自身利润之外，还要考虑自己对社会的贡献。这个概念在最近被概念化为Society 5.0。组织需要有一个更加以人为本的方法，以便在今天的市场中站稳脚跟。这是一个新兴的主题，因此文献中对这一领域的研究有限。当前研究的目的是填补这一研究空白。该研究试图强调新兴经济体实施社会5.0的障碍。这项研究分两步进行。在第一步中，主题已经通过NVIVO软件生成。随后，通过多准则决策方法，即模糊DEMATEL，将生成的主题作为因果组中的优先因素。正在考虑的针对印度局势的案例研究征求了专家参与制定主题的意见，并将他们的评估作为输入，将组成部分分为因果类别。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Model Assisted Statistics and Applications Mathematics-Applied Mathematics

CiteScore

1.00

自引率

0.00%

发文量

期刊介绍： Model Assisted Statistics and Applications is a peer reviewed international journal. Model Assisted Statistics means an improvement of inference and analysis by use of correlated information, or an underlying theoretical or design model. This might be the design, adjustment, estimation, or analytical phase of statistical project. This information may be survey generated or coming from an independent source. Original papers in the field of sampling theory, econometrics, time-series, design of experiments, and multivariate analysis will be preferred. Papers of both applied and theoretical topics are acceptable.