{"title":"Enhancing SMEs resilience through digital innovation: a stage-based analysis","authors":"Xueyuan Wang, Meixia Sun","doi":"10.1108/ejim-09-2023-0800","DOIUrl":null,"url":null,"abstract":"PurposeThe COVID-19 pandemic has profoundly impacted small and medium-sized enterprises (SMEs), inherently vulnerable entities, prompting a pivotal question of how to enhance SMEs’ organizational resilience (OR) to withstand discontinuous crises. Although digital innovation (DI) is widely acknowledged as a critical antecedent to OR, limited studies have analyzed the configurational effects of DI on OR, particularly stage-based analysis.Design/methodology/approachUnderpinned by the dynamic capabilities view, this study introduces a multi-stage dynamic capabilities framework for OR. Employing Latent Dirichlet Allocation (LDA), digital product innovation (DPI), digital services innovation (DSI) and digital process innovation (DCI) are further deconstructed into six dimensions. Furthermore, we utilized fuzzy-set qualitative comparative analysis (fsQCA) to explore the configuration effects of six DI on OR at different stages, using data from 94 Chinese SMEs.FindingsFirst, OR improvement hinges not on a singular DI but on the interactions among various DIs. Second, multiple equivalent configurations emerge at different stages. Before the crisis, absorptive capability primarily advanced through iterative DPI and predictive DSI. During the crisis, response capability is principally augmented by the iterative DPI, distributed DCI, and integrated DCI. After the crisis, recovery capability is predominantly fortified by the iterative DPI, expanded DPI and experiential DSI. Third, iterative DPI consistently assumes a supportive role in fortifying OR.Originality/valueThis study contributes to the extant literature on DI and OR, offering practical guidance for SMEs to systematically enhance OR by configuring DI across distinct stages.","PeriodicalId":504522,"journal":{"name":"European Journal of Innovation Management","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Innovation Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/ejim-09-2023-0800","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
PurposeThe COVID-19 pandemic has profoundly impacted small and medium-sized enterprises (SMEs), inherently vulnerable entities, prompting a pivotal question of how to enhance SMEs’ organizational resilience (OR) to withstand discontinuous crises. Although digital innovation (DI) is widely acknowledged as a critical antecedent to OR, limited studies have analyzed the configurational effects of DI on OR, particularly stage-based analysis.Design/methodology/approachUnderpinned by the dynamic capabilities view, this study introduces a multi-stage dynamic capabilities framework for OR. Employing Latent Dirichlet Allocation (LDA), digital product innovation (DPI), digital services innovation (DSI) and digital process innovation (DCI) are further deconstructed into six dimensions. Furthermore, we utilized fuzzy-set qualitative comparative analysis (fsQCA) to explore the configuration effects of six DI on OR at different stages, using data from 94 Chinese SMEs.FindingsFirst, OR improvement hinges not on a singular DI but on the interactions among various DIs. Second, multiple equivalent configurations emerge at different stages. Before the crisis, absorptive capability primarily advanced through iterative DPI and predictive DSI. During the crisis, response capability is principally augmented by the iterative DPI, distributed DCI, and integrated DCI. After the crisis, recovery capability is predominantly fortified by the iterative DPI, expanded DPI and experiential DSI. Third, iterative DPI consistently assumes a supportive role in fortifying OR.Originality/valueThis study contributes to the extant literature on DI and OR, offering practical guidance for SMEs to systematically enhance OR by configuring DI across distinct stages.
目的COVID-19大流行对中小型企业(SMEs)这一固有的脆弱实体产生了深远影响,从而引发了一个关键问题,即如何增强中小型企业的组织复原力(OR),以抵御非连续性危机。尽管数字创新(DI)被广泛认为是组织复原力的关键先决条件,但分析数字创新对组织复原力的配置效应,尤其是基于阶段的分析的研究却十分有限。利用潜狄利克特分配(LDA),将数字产品创新(DPI)、数字服务创新(DSI)和数字流程创新(DCI)进一步分解为六个维度。此外,我们还利用模糊集定性比较分析(fsQCA),以 94 家中国中小企业的数据为基础,探讨了六个 DI 在不同阶段对 OR 的配置效应。其次,在不同阶段会出现多种等效配置。危机前,吸收能力主要是通过迭代式DPI和预测式DSI提高的。危机期间,应对能力主要通过迭代式 DPI、分布式 DCI 和集成式 DCI 得到增强。危机过后,恢复能力主要通过迭代式 DPI、扩展式 DPI 和经验式 DSI 得到加强。第三,迭代式 DPI 始终在强化 OR 方面发挥支持作用。原创性/价值本研究为有关 DI 和 OR 的现有文献做出了贡献,为中小企业通过在不同阶段配置 DI 来系统地增强 OR 提供了实用指导。