Purpose

The purpose of this paper is to identify and screen continuous innovation capability enablers (CICEs) in Indonesia’s manufacturing sectors, develop a relationship among these enablers and determine their driving power and dependence power in the sector.

Design/methodology/approach

The initial CICEs identification process is based on a literature review, while a fuzzy Delphi method (FDM) was used for the screening process of CICEs. Total interpretive structural modelling (TISM) was used to develop contextual relationships among various CICEs. The results of the TISM are used as an input for the matrix of cross-impact multiplications applied to classification (MICMAC) to classify the driving power and dependence powers of the CICEs.

Findings

This paper selected 16 CICEs classified in seven dimensions. TISM results and MICMAC analysis show that leadership, as well as climate and culture, are enablers with the highest driving power and lowest dependence powers; followed by information technology. The results of this study indicate that efforts to continuously develop innovation capabilities in the Indonesian manufacturing industries are strongly influenced by their leadership capability, climate and culture, also information technology-related capability.

Practical implications

The framework assessed in this study provides business managers and policymakers to obtain a bigger picture in developing policies with evidence-based strategy and priority in regard to continuous innovation capability.

Originality/value

The results will be useful for business managers and policymakers to understand the relationship between CICEs and identify key CICEs in Indonesia’s manufacturing sectors, which were previously non-existent.

中文翻译：

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模拟印度尼西亚制造业的持续创新能力推动者

目的

本文的目的是识别和筛选印度尼西亚制造业的持续创新能力推动者（CICEs），发展这些推动者之间的关系，并确定他们在该行业的驱动力和依赖力。

设计/方法/方法

最初的 CICE 识别过程基于文献综述，而模糊德尔菲法 (FDM) 用于 CICE 的筛选过程。总解释性结构模型（TISM）被用来开发各种 CICE 之间的上下文关系。TISM 的结果用作应用于分类的交叉影响乘法矩阵 (MICMAC) 的输入，以对 CICE 的驱动力和依赖力进行分类。

发现

本文选取了 16 个 CICE，分为 7 个维度。TISM 结果和 MICMAC 分析表明，领导力以及气候和文化是具有最高驱动力和最低依赖力的促成因素；其次是信息技术。这项研究的结果表明，印尼制造业不断发展创新能力的努力受到其领导能力、气候和文化以及信息技术相关能力的强烈影响。

实际影响

本研究评估的框架为企业管理者和政策制定者提供了更大的视野，以制定具有循证战略和优先考虑持续创新能力的政策。

原创性/价值

结果将有助于业务经理和政策制定者了解 CICE 之间的关系，并确定印度尼西亚制造业中以前不存在的关键 CICE。