首页|顶层设计,还是自然生长?——数字资源编排方向的前因组态研究

顶层设计,还是自然生长?——数字资源编排方向的前因组态研究

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如何通过资源编排行动促进多维数字能力间的构建协同,是企业取得数字化转型高绩效的重要基础.资源编排视角有利于揭示多维数字能力间协同与耦合的过程,发现组织选择自上而下的顶层设计,还是自下而上的自然生长策略的决策逻辑.囿于现有研究在多维数字能力间均质线性与和谐耦合的假设,未能充分解释多维数字能力在冲突中非线性的发展现象;资源编排的对称式前因研究,也难以揭示多前因共存依赖下差异化发展路径的机理及演化规律.研究采用"环境—组织—注意力"的研究框架,选取浙江省"未来工厂"中分属不同转型阶段的96家企业,运用基于时间序列定性比较分析的方法探讨了数字化转型中怎样的前因组合能促进多维数字能力的构建协同,以实现高绩效数字化转型.研究发现:(1)单因素不构成高绩效的必要条件,多样化组态构成多条非对称高(非高)绩效路径;(2)各前因要素在各阶段演化呈现规律性特征;(3)编排方向呈现从"自下而上"启始,双向分化后趋于"双向流"汇聚的发展趋势.
Overall Design,or Natural Increase?Research on the Antecedent Configuration Evolution of Resource Orchestration Direction In Enterprises'Digital Transformation
Whether to follow the top-down overall design or bottom-up natural growth logic to drive enterprises'digital transformation has always been one of the core issues in Chinese enterprises'digital transformation practice.The digital transformation is when enterprises use digital resource action to build and collaborate the multi-dimensional digital capabilities of the organization.The resource orchestration theory explores directional strategies such as"top-down,""bot-tom-up,"and"bidirectional flow"in organizing actions from the perspective of organizational behavior,along with their driving factors.It provides a unique theoretical perspective for gaining insight into the directional strategies of organiza-tional digital transformation.The theory of resource orchestration helps to reveal the processes of synergy and coupling among multi-dimensional digital capabilities.It discovers whether organizations choose top-down design or bottom-up natural growth strategy decision logic,which can promote the construction and synergy among multi-dimensional digital capabilities,achieving high performance in digital transformation.Constrained by the homogeneous linear and harmonious coupling assumptions of existing research on multi-dimensional digital capabilities,they failed to fully reveal the non-linear development phenomena of multi-dimensional digital capabilities in conflicts.Additionally,research methods based on symmetric causal variable relationships also cannot effectively explain the reasons and mechanisms for differential development paths under the coexistence of multiple causal dependencies,nor do they fully reveal the evolution and pat-terns of resource action direction strategies in long cycles.This study uses the EOA analysis framework(E-environment,O-organization,A-attention),employs the qualitative comparative analysis based on the time series(TSQCA)method,and selects 96 enterprises with different stages of digital transformation in Zhejiang Province as an example.The research find that firstly single factors are not necessary for high performance in digital transformation.A combination of multiple ante-cedents,including environment,organization,and attention,contributes to diverse configurations for high performance in digital transformation.There are multiple performance paths(high and low)with non-symmetrical relationships across the stages of digital transformation,characterized by a"different paths,same destination"pattern.Secondly,observations across the transformation stages reveal a pattern in the alternating changes between core,marginal,and irrelevant condi-tions for each antecedent:Environmental turbulence in the early stages of transformation acts as a trigger and driver for initiating organizational digital transformation.As the transformation progresses to higher stages,high market turbulence becomes a core factor.The organizational antecedent serves as a core condition in the early stages,but its influence gradually weakens over time.The attention antecedent,on the other hand,exhibits a trend of evolution from high spe-cialization to high integration.Thirdly,the combination formed by the two dimensions of specialization and integration in the attention structure constitutes the strategic direction for organizational orchestration actions.During the three stages of transformation,there is an evolutionary trend of differentiation from a"bottom-up"natural growth mode in the digital subordinate stage to a dual-direction split of a"top-down"planning mode and a"bottom-up"growth mode in the digital alignment stage,and finally to a convergence of a"bidirectional flow"in the digital-driven stage.

digital transformationmulti-dimensional digitization capabilitiesresource orchestration depthstructural distribution of attentionevolution of configuration

赖晓烜、陈衍泰、范彦成

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浙江工业大学 管理学院,杭州 310014

浙江工商大学 管理学院,杭州 310018

浙江财经大学 经济学院,杭州 310018

数字化转型 多维数字能力 资源编排方向 注意力结构 组态演化

国家自然科学基金重点项目国家社会科学基金项目教育部人文社会科学研究项目

7203200822WH11-5Z21YJC630021

2024

科学学与科学技术管理
中国科学学与科技政策研究会 天津市科学学研究所

科学学与科学技术管理

CSTPCDCSSCICHSSCD北大核心
影响因子:1.68
ISSN:1002-0241
年,卷(期):2024.45(9)
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