Purpose

Drawing upon a systematic literature review in new technology, innovation transfer and diffusion theories, and from interviews with technology leaders in digital transformation programs in the US Oil & Gas (O&G) industry, the authors explore the relationships among O&G industry dynamics, organization's absorptive capacity and resource commitment for new digital technology adoption-implementation process.

Design/methodology/approach

The authors employed the empirical survey method to gather the data (a sample size of 172) in the US O&G industry and used structural equation modeling (SEM) to test the measurement model for validity and reliability and the conceptual model for hypothesized structural relationships.

Findings

The results provide support for the study’s causal model of adoption and implementation with positive and direct relationships between the initiation and trial stages, between the trial stages and the evaluation of effective outcomes and between the effective outcomes and the effective implementation stages of digital technologies. The results also reveal partial mediating relationships of industry dynamics, absorptive capacity and resource commitment between respective stages.

Practical implications

Based on the current study's findings, managers are recommended to pay attention to the evolving industry dynamics during the initiation stage of new digital technology adoption, to utilize the organization's knowledge-based absorptive capacity during digital technology trial and selection stages and to support the digital technology implementation project when the adoption decision of a particular digital technology has been made.

Originality/value

The empirical research contributes literature on digital technology adoption and implementation by identifying and demonstrating the importance of industry dynamics, absorptive capacity and resource commitment factors as mediating variables at various stages of the adoption-implementation process and empirically validating a process-based causal model of digital technology adoption and a successful implementation project that has been missing in the current body of literature on digital transformation.

中文翻译：

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行业动态、吸收能力和资源投入在新数字技术采用和有效实施过程中的中介效应

目的

作者通过对新技术、创新转移和扩散理论的系统文献综述，以及对美国石油和天然气 (O&G) 行业数字化转型项目中技术领导者的采访，探讨了 O&G 行业动态与组织吸收能力之间的关系以及新数字技术采用实施过程的资源承诺。

设计/方法论/途径

作者采用实证调查方法收集了美国油气行业的数据（样本量为172），并使用结构方程模型（SEM）来测试测量模型的有效性和可靠性以及假设结构关系的概念模型。

发现

结果为该研究采用和实施的因果模型提供了支持，数字技术的启动阶段和试验阶段之间、试验阶段与有效结果评估之间以及有效结果与有效实施阶段之间存在积极和直接的关系。结果还揭示了行业动态、吸收能力和资源投入在各个阶段之间的部分中介关系。

实际影响

根据目前的研究结果，建议管理者在新数字技术采用的启动阶段关注不断变化的行业动态，在数字技术试用和选择阶段利用组织基于知识的吸收能力，并支持数字技术当做出采用特定数字技术的决定时实施项目。

原创性/价值

该实证研究通过识别和证明行业动态、吸收能力和资源承诺因素作为采用实施过程各个阶段的中介变量的重要性，并通过实证验证基于过程的数字技术因果模型，为数字技术采用和实施提供了文献。当前有关数字化转型的文献中缺少技术采用和成功的实施项目。