Manufacturing Process Innovation-Oriented Knowledge Evaluation Using MCDM and Fuzzy Linguistic Computing in an Open Innovation Environment

PurposeThis study is among the very few to examine the firm's simultaneous use of both dimensions of open innovation and its influences on the firm's process innovation performance (PIP). Specifically, the authors consider the relationship between firm's external technology acquisition (ETA) and external technology exploitation (ETE) and examine their direct, indirect and mediating effect on the firm's PIP. The authors also examine the moderating effect of the organizations' unabsorbed slack (UASL) on the relationship between ETA and ETE.Design/methodology/approachAnalyzing data collected from 311 small- and medium-sized software development firms in emerging market; Thailand, we show that both ETA and ETE have a positive effect on PIP and that ETE fully mediates the relationship between ETA and PIP.FindingsThe authors show that both ETA and ETE have a positive effect on PIP and that ETE fully mediates the relationship between ETA and PIP. Moreover, the relationship between ETA and ETE is positively moderated by the firms' unabsorbed slack (UASL) and that the influence of ETA on PIP through ETE is stronger under higher unabsorbed slack.Originality/valueThe authors extend the “traditional” performance outcome of outbound dimension of open innovation concept, which focuses exclusively on commercialization and market (Chesbrough, 2003b), by showing that ETE positively influences the firm's PIP. Moreover, the study explains the mechanism through which ETA influence the firm's PIP by proposing that ETE fully mediates the relationship between ETA and PIP.

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Big Data Analytics in Industry 4.0: Sustainable Industrial Value Creation, Manufacturing Process Innovation, and Networked Production Structures

Journal of Self-Governance and Management Economics ◽

10.22381/jsme7320195 ◽

2019 ◽

Vol 7 (3) ◽

pp. 34 ◽

Cited By ~ 1

Keyword(s):

Big Data ◽

Value Creation ◽

Manufacturing Process ◽

Industry 4.0 ◽

Data Analytics ◽

Big Data Analytics ◽

Process Innovation

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Modes of Open Innovation in Service Industries and Process Innovation

Open Innovation in Firms and Public Administrations ◽

10.4018/978-1-61350-341-6.ch002 ◽

2013 ◽

pp. 15-36 ◽

Cited By ~ 2

Author(s):

Sean Kask

Keyword(s):

Open Innovation ◽

Fixed Effects ◽

Manufacturing Sector ◽

Process Innovation ◽

Service Firms ◽

Policy Makers ◽

Product And Process Innovation ◽

External Sources ◽

Product And Process ◽

External Sources Of Knowledge

This broad study empirically compares the returns to different open innovation approaches, namely forms of pecuniary acquisition and non-pecuniary sourcing, on both product and process innovation in low-tech service and manufacturing firms. A fixed-effects analysis reveals differing patterns of the effectiveness of open innovation strategies across sectors and type of innovation outcome, along with decreasing returns from being “too open”. In general, the purchase of intangible intellectual property and broad search breadth have greater effects on product innovation, whereas the returns to knowledge embodied in physical artefacts and to drawing deeply from external sources are greater for process innovation. Overall, external sources of knowledge more strongly predict innovation in low-tech service firms than in the manufacturing sector. The final section considers implications for managers and policy makers.

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Manufacturing Process Innovation in the Pharmaceutical Industry

Manufacturing & Service Operations Management ◽

10.1287/msom.2021.1035 ◽

2021 ◽

Author(s):

Ivan Lugovoi ◽

Dimitrios A. Andritsos ◽

Claire Senot

Keyword(s):

Firm Performance ◽

Competitive Advantage ◽

Manufacturing Process ◽

Large Scale ◽

Secondary Data ◽

Positive Association ◽

Process Innovation ◽

Problem Definition ◽

Data Set ◽

Process Innovations

Problem definition: Process innovation is commonly claimed to be a major source of competitive advantage for firms. Despite this perceived influence, it has received substantially less attention than product innovation, and much uncertainty remains about its true association with firm performance. We investigate the relationship between a pharmaceutical firm’s portfolio of manufacturing process innovations and its economic performance. Academic/practical relevance: We uniquely conduct a multidimensional evaluation of a firm’s portfolio of manufacturing process innovations at the product level. This allows a quantitative evaluation of both the relative benefit of the different dimensions of a portfolio as well as the potential complementarities between these in different technological landscapes. Methodology: Through a collaboration with expert patent attorneys, we develop a unique longitudinal data set that combines secondary data and evaluations of a firm’s portfolio of process patents along two key dimensions: novelty and scope. We conduct econometric analyses for a large-scale sample of active pharmaceutical ingredients (APIs) whose product patents have expired and for which process innovation is thus the main source of competitive advantage. Results: We find a positive association between the presence of manufacturing process innovation and firm performance. However, although portfolio’s scope appears to always be beneficial to performance, the effect of novelty alone depends on the ruggedness of the technological landscape: negative in smoother landscapes and positive in more rugged landscapes. Results further suggest that novelty and scope of a portfolio of process innovations are complementary across technological landscapes. Managerial implications: Our results provide important practical insights that can inform the organization and execution of the research and development process across high-technology industries. In particular, although process innovations can be economically beneficial, investing in high-novelty process innovations without a corresponding high scope could jeopardize payoffs, especially in technological landscapes that are relatively smooth.

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An Integrated Open Approach to Capturing Systematic Knowledge for Manufacturing Process Innovation Based on Collective Intelligence

Applied Sciences ◽

10.3390/app8030340 ◽

2018 ◽

Vol 8 (3) ◽

pp. 340 ◽

Cited By ~ 2

Author(s):

Gangfeng Wang ◽

Yongbiao Hu ◽

Xitian Tian ◽

Junhao Geng ◽

Gailing Hu ◽

...

Keyword(s):

Manufacturing Process ◽

Collective Intelligence ◽

Process Innovation ◽

Open Approach ◽

Systematic Knowledge

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Determinants of Sustainable Open Innovations—A Firm-Level Capacity Analysis

Sustainability ◽

10.3390/su13169088 ◽

2021 ◽

Vol 13 (16) ◽

pp. 9088

Author(s):

Solomon Gyamfi ◽

Yee Yee Sein

Keyword(s):

Open Innovation ◽

Developing Economies ◽

Capacity Utilization ◽

Institutional Quality ◽

Process Innovation ◽

Sub Saharan Africa ◽

Quality Data ◽

Quality Of Institutions ◽

Innovation Analysis

Institutional constraints impede firms’ open innovation. They have been a challenge, obstructing growth and sustainable development. Research on open innovation has shown that the quality of institutions essentially affects innovation in firms. Hence, prior research has made efforts to incorporate the quality of institutions into open innovation analysis. We can use a series of analyses to examine the impact of corruption, the tax system, and other indicators on firm innovation performance. However, developing economies, such as countries in sub-Saharan Africa, represent a specific group of countries that have long been perceived as those mostly deficient in the rule of law, with poor regulatory quality and a great deal of corruption. In these countries, it is also possible to see a lower number of studies, as the inability to obtain quality data to perform empirical analyses can often limit researchers. Nevertheless, employing data from the World Bank’s 2019 Enterprise Survey, this research aimed at exploring the determinants of sustainable open innovation as well as the effect of institutional quality on firms’ capacity utilization and process innovation through a PLS structural equation model analysis. Our research showed interesting findings, such as the fact that the quality of institutions significantly affects firms’ use of OI instruments and capacity utilization. This research also provides for the novelty of the analysis of capacity utilization in an open innovation analysis. The results support the hypotheses that low institutional quality negatively affects firms’ implementation of inbound open innovation instruments, and that there is a strong and positive effect of low institutional quality on firms’ capacity utilization. In addition, we confirm the premise that firms’ implementation of inbound open innovation instruments has a positive and significant influence on firms’ process innovation.

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Knowledge-Driven Manufacturing Process Innovation: A Case Study on Problem Solving in Micro-Turbine Machining

Micromachines ◽

10.3390/mi12111357 ◽

2021 ◽

Vol 12 (11) ◽

pp. 1357

Author(s):

Dong Zhang ◽

Gangfeng Wang ◽

Yupeng Xin ◽

Xiaolin Shi ◽

Richard Evans ◽

...

Keyword(s):

Problem Solving ◽

Manufacturing Process ◽

Design Method ◽

Process Innovation ◽

Machining Process ◽

Knowledge Network ◽

Design System ◽

Industrial Sectors ◽

Micro Turbine

Micromachining techniques have been applied widely to many industrial sectors, including aerospace, automotive, and precision instruments. However, due to their high-precision machining requirements, and the knowledge-intensive characteristics of miniaturized parts, complex manufacturing process problems often hinder production. To solve these problems, a systematic scheme for structured micromachining process problem solving and an innovation support system is required. This paper presents a knowledge-based holistic framework that enables process planners to achieve micromachining innovation design. By analyzing innovation design procedures and available knowledge sources, an open multi-source Machining Process Innovation Knowledge (MPIK) acquisition paradigm is presented, including knowledge units and a knowledge network. Further, a MPIK network-driven structured process problem-solving and heuristic innovation design method was explored. Subsequently, a knowledge-driven heuristic design system for machining process innovation was integrated in the Computer-Aided Process Innovation (CAPI) platform. Finally, a case study involving specific process problem-solving and innovation scheme design for micro-turbine machining was studied to validate the proposed approach.

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