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Modelling and analysing the enablers of digital resilience for small and medium enterprises
Journal of Enterprise Information Management ( IF 7.4 ) Pub Date : 2023-03-28 , DOI: 10.1108/jeim-01-2023-0002
Vikas Kumar , Rahul Sindhwani , Abhishek Behl , Amanpreet Kaur , Vijay Pereira

Purpose

Small and medium enterprises (SMEs) significantly contribute to economic growth, development, exports and employment of the nations. To maintain competitiveness in today's market, SMEs must explore and identify enablers to enhance their digital transformation process. This paper aims to shed light on some essential enablers SMEs can use to implement digital resilience successfully.

Design/methodology/approach

The quantitative assessment and validation of the enablers have been done using powerful and novel techniques, namely, the Delphi method, “fuzzy interpretive structural modelling” (F-ISM) method and “cross-impact matrix multiplication applied to classification (MICMAC)” analysis. The F-ISM model is developed using the information drawn from digital transformation experts and practitioners involved in the digital transformation process for SMEs. Furthermore, the F-ISM model provides four paths to complete the pathway to digital resilience.

Findings

The F-ISM and MICMAC analysis revealed four ways to enhance the digital transformation process in SMEs. These enterprises can utilise these path assessments to become digitally resilient in the present dynamic scenario. To enhance digital resilience among SMEs, the study identified ten enablers. Among these, “management competencies” was the most crucial, followed by “knowledge management” and “monitoring and controlling”.

Research limitations/implications

The present study is limited in that the data used to develop the models were collected from a small group of industry experts whose opinions may not exhibit the comprehensive views of the population.

Practical implications

The findings can help SMEs enhance the digital transformation process by taking up different pathways to integrate the various enablers of digital resilience depending on resource availability.

Originality/value

The results indicate the most critical and influential enablers for enhancing digital resilience among SMEs. This research can be valuable to academicians, industry practitioners and researchers for guiding their future work.



中文翻译:


建模和分析中小企业数字弹性的推动因素


 目的


中小企业(SME)为国家的经济增长、发展、出口和就业做出了重大贡献。为了保持当今市场的竞争力,中小企业必须探索并确定推动因素,以增强其数字化转型过程。本文旨在阐明中小企业可以用来成功实施数字弹性的一些重要推动因素。


设计/方法论/途径


使用强大而新颖的技术对促成因素进行了定量评估和验证,即德尔菲法、“模糊解释结构建模”(F-ISM)方法和“应用于分类的交叉影响矩阵乘法(MICMAC)”分析。 F-ISM 模型是利用参与中小企业数字化转型过程的数字化转型专家和从业者提供的信息开发的。此外,F-ISM 模型提供了四种路径来完成数字弹性之路。

 发现


F-ISM 和 MICMAC 分析揭示了增强中小企业数字化转型过程的四种方法。这些企业可以利用这些路径评估在当前的动态场景中变得具有数字弹性。为了增强中小企业的数字弹性,该研究确定了十个推动因素。其中,“管理能力”最为关键,其次是“知识管理”和“监控”。


研究局限性/影响


本研究的局限性在于,用于开发模型的数据是从一小群行业专家那里收集的,他们的意见可能无法体现民众的全面观点。

 实际意义


研究结果可以帮助中小企业根据资源可用性,采用不同的途径整合数字弹性的各种推动因素,从而增强数字化转型过程。

 原创性/价值


结果表明了增强中小企业数字弹性的最关键和最有影响力的推动因素。这项研究对于院士、行业从业者和研究人员未来的工作指导具有重要价值。

更新日期:2023-03-28
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