Linkage between knowledge management and manufacturing performance: a structural equation modeling approach

2015 ◽  
Vol 19 (4) ◽  
pp. 814-835 ◽  
Author(s):  
Li Pin Tan ◽  
Kuan Yew Wong
Keyword(s):  
Knowledge Management ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Single Point ◽  
Equation Modeling ◽  
Future Research ◽  
Manufacturing Companies ◽  
Content Type ◽  
Knowledge Resources ◽  
Manufacturing Performance

Purpose – The purpose of this study is to examine the effect of knowledge management (KM) on manufacturing performance and the relationships among three KM measures, namely, knowledge resources, KM processes and KM factors. It also determined a collective set of KM metrics based on these three measures. Design/methodology/approach – Data were collected using questionnaires posted to 700 manufacturing companies in Malaysia from which 206 usable responses were obtained. The analysis and hypotheses testing were implemented using structural equation modeling. Findings – The results showed that the constructs of knowledge resources, KM processes and KM factors have significant and direct effects on manufacturing performance. In terms of covariance, the results also indicated that these three constructs were correlated with each other. Research limitations/implications – The sample over-represented large firms and the study was a cross-sectional approach that collected data at a single point in time. Practical implications – The results obtained would help managers to better understand the linkage between KM and manufacturing performance. They could use the results to manipulate their KM practices to improve their manufacturing performance. The proposed set of KM metrics could also act as a common language and provide directions for future research. Originality/value – This paper is one of the first empirical studies that has examined the relationship between KM and manufacturing performance. Furthermore, it has investigated the relationships among knowledge resources, KM processes and KM factors.

The effect of knowledge management on intellectual capital, social capital, and firm innovation

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mahdi Salehi ◽  
Mohammad Ali Fahimi ◽  
Grzegorz Zimon ◽  
Saeid Homayoun
Keyword(s):  
Social Capital ◽  
Knowledge Management ◽  
Intellectual Capital ◽  
Chief Executive Officers ◽  
Structural Equation ◽  
Chief Executive ◽  
Equation Modeling ◽  
Capital Social ◽  
Manufacturing Companies ◽  
Content Type

Purpose This study aims to analyze the literature on knowledge management on intellectual capital, social capital and its contribution to Iranian companies’ innovation. Design/methodology/approach To investigate knowledge management’s relationship on intellectual capital, social capital and innovation, using structural equation modeling based on data collected from 205 chief executive officers, production managers and marketing managers of Iranian companies. The research instrument is a standard questionnaire consisting of 109 questions in which 5 of them are demographic questions, 26 questions were asked to reveal the knowledge management process, 40 questions for intellectual capital, 21 for social capital and 17 for innovation. Findings The results show that knowledge management has a positive and significant relationship between intellectual capital and social capital. Knowledge management did not have a significant effect on innovation. However, intellectual capital and social capital have a significant effect on innovation. On the other hand, knowledge management mediated by intellectual capital and social capital has a positive and significant indirect effect on innovation. Originality/value The paper includes the implications for developing knowledge management and intellectual, social capital leading to innovation in manufacturing companies. Knowledge management can improve the innovation performance of a company if it is shared and applied effectively. This study addresses an important subject and the findings may be used by professionals and managers or another person interested in advancing knowledge management that leads to innovation.

Evaluation of knowledge management practices - a leather industry context

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Srinivasan P.
Keyword(s):  
Knowledge Management ◽  
Structural Equation Modeling ◽  
Organizational Performance ◽  
Structural Equation ◽  
Influential Factor ◽  
Equation Modeling ◽  
Survey Method ◽  
Leather Industry ◽  
Content Type ◽  
The Impact

Purpose The purpose of this paper is to analyze the impact of knowledge management (KM) in terms of organizational performance using structural equation modeling. To enhance organizational performance, KM is used as a powerful strategic tool. The factors such as management commitment, leadership and organizational culture are the KM enabler’s conditions, and the step processes of KM are knowledge capture, creation, organizing/storing and transfer, and through this, KM is analyzed on organizational performance in the context of leathers manufacturing company. This study constructs with questionnaire consist of 34 variables. Design/methodology/approach There are about 101 samples that were collected through the questionnaire survey method in the leather companies in Ranipet. The data were collected from executives and associates in the leather companies. Data were analyzed using the SPSS tool and SMART PLS tool used for framing a research model and the hypothesized relationships were tested through partial least squares structural equation modeling technique. Findings The finding of this study is mandatory to implement a structured KM practice in the leather companies. Application of KM is quite an impact on organizational performance, which leads to profitability and productivity. Originality/value This is the first paper to empirically investigate the KM enablers, process and support for the role of KM practices at leather industry. Further, the positioning of KM practices as a strategic competitive tool can be considered as an influential factor to organizational performance.

Lean management and innovation performance

2019 ◽  
Vol 42 (2) ◽  
pp. 239-262 ◽  
Author(s):  
Ayman Bahjat Abdallah ◽  
Samer Eid Dahiyat ◽  
Yoshiki Matsui
Keyword(s):  
Factor Analysis ◽  
Continuous Improvement ◽  
Structural Equation ◽  
Innovation Performance ◽  
Incremental Innovation ◽  
Equation Modeling ◽  
Future Research ◽  
Lean Management ◽  
Manufacturing Companies ◽  
Content Type

Purpose The purpose of this paper is to explore the effects of innovation orientation (IO) on both the implementation levels of soft and hard lean management (LM), as well as innovation performance. It also aims at exploring the effects of soft and hard LM on innovation performance. Design/methodology/approach The study analyzes survey data collected as a part of a high-performance manufacturing (HPM) project from 238 international manufacturing companies in eight countries and three industries. Exploratory factor analysis and confirmatory factor analysis were applied to assess construct validity. The study hypotheses were tested using structural equation modeling. Findings The results demonstrated that innovation-oriented companies tend to adopt aspects of both soft and hard LM. However, the results revealed an insignificant effect of soft and hard LM on innovation performance. The study also showed that innovation performance is positively influenced by an IO. These results indicate that having an IO is vital for enhancing both LM as well as innovation performance. They also evidently suggest that LM is more related to continuous improvement (incremental innovation) rather than (radical) innovation and, as such, is not important for firm’s intent on enhancing their innovation performance. Practical implications The current study demonstrates that IO and LM are complementary and not contradicting strategies. The two strategies share many cultural aspects, similarities and commonalities. However, LM is not sufficient to predict innovation performance. Managers of the surveyed manufacturing firms are advised to focus on IO, as it has beneficial impacts on both LM (continuous improvement initiatives) as well as innovation performance. This clearly indicates that placing the emphasis upon radical (innovative) improvement rather than incremental improvement (LM practices) is believed to support continuous and innovative improvement alike. Originality/value The relationship between LM and innovation is debated in the existing literature, but the debate is characterized by a lack of empirical evidence. This is one of the first studies that empirically investigates the relationships between IO, LM and innovation performance. It identifies some new insights to direct future research, particularly regarding different innovation types as well as in service organizations.

The impact of IT-based knowledge management systems on internal venturing and innovation: a structural equation modeling approach to corporate performance

2016 ◽  
Vol 20 (3) ◽  
pp. 484-498 ◽  
Author(s):  
Manlio Del Giudice ◽  
Maria Rosaria Della Peruta
Keyword(s):  
Knowledge Management ◽  
Structural Equation Modeling ◽  
Organizational Performance ◽  
Structural Equation ◽  
Research Literature ◽  
Equation Modeling ◽  
Network Systems ◽  
Content Type ◽  
Internal Venturing ◽  
The Impact

Purpose The purpose of this paper is to assess the perceived importance of information technology (IT) as a core factor enabling innovation in knowledge management (KM). The aim is to propose an approach for using the IT tools for KM involved in the design of effective learning applications to help the firms to guide internal venturing development. Design/methodology/approach The research design at the base of the present research has provided a survey which was conducted on a sample consisting of 187 different companies located in the Italian provinces of Naples and Caserta, from the segments of the electronics, the computer and network systems, the software (SW) development, aimed at deepening connections and influences of the use of IT-based knowledge management system (KMS). Structural equation modeling technique has been performed to get results. Findings Consistent with what has been observed in previous studies (Del Giudice and Straub, 2011), the empirical analysis developed has confirmed that 72 per cent of companies surveyed has defined themselves much agree on the ability of KMS for supporting complex phenomena such as internal venturing: both encouraging the individual to become “intrapreneur”; and helping the employee to improve their performances within business processes in which they are likely to be involved. Originality/value This paper reviews key research literature issues on IT revolution for KM. With the growth of new and exciting IT opportunities, however, comes the daunting opportunity to experiment interoperable, easy to use, engaging and accessible IT applications that communicate the right information needed to reconfigure innovative mechanisms for entrepreneurism and organizational performance.

Modeling lean manufacturing success

2018 ◽  
Vol 13 (4) ◽  
pp. 908-931 ◽  
Author(s):  
Morteza Ghobakhloo ◽  
Masood Fathi ◽  
Dalila Benedita Machado Martins Fontes ◽  
Ng Tan Ching
Keyword(s):  
Structural Equation Modeling ◽  
Lean Manufacturing ◽  
Structural Equation ◽  
Human Resources Management ◽  
Structural Modeling ◽  
Equation Modeling ◽  
Future Research ◽  
Management Support ◽  
Interpretive Structural Modeling ◽  
Content Type

Purpose The purpose of this study is to contribute to the existing knowledge about the process of achieving Lean Manufacturing (LM) success. Design/methodology/approach This study uses interpretive structural modeling and captures the opinions of a group of LM experts from a world-class Japanese automobile manufacturer, to map the interrelationships among potential determinants of LM success. This study further uses the data from a survey of 122 leading automobile part manufacturers by performing structural equation modeling to empirically test the research model proposed. Findings Management support and commitment, financial resources availability, information technology competence for LM, human resources management, production process simplicity, supportive culture and supply chain-wide integration are the key determinants that directly or indirectly determine the level of achievement of LM success. Research limitations/implications The determinants of LM success as experienced by Asian automobile manufacturers might be different from determinants of LM success as experienced by Western automobile manufacturers. An interesting direction for future research would be to capture the experts’ inputs from Western automobile manufacturers to complement the findings of this study. Practical implications The practical contribution of this study lays in the development of linkages among various LM success determinants. Utility of the proposed interpretive structural modeling and structural equation modeling methodologies imposing order, direction and significance of the relationships among elements of LM success assumes considerable value to the decision-makers and LM practitioners. Originality/value Building on opinions of a group of LM experts and a case study of leading auto part manufacturers, the present study strives to model the success of LM, a topic that has received little attention to date.

An empirical assessment of the antecedents of electronic-business implementation and the resulting organizational performance

2016 ◽  
Vol 26 (3) ◽  
pp. 661-688 ◽  
Author(s):  
Mahmoud Mohammad Migdadi ◽  
Mohammed Khair Saleem Abu Zaid ◽  
Omar Salameh Al-Hujran ◽  
Anas Mustafa Aloudat
Keyword(s):  
Knowledge Management ◽  
Organizational Performance ◽  
Structural Equation ◽  
Organizational Factors ◽  
Organizational Capabilities ◽  
Equation Modeling ◽  
Future Research ◽  
Management Support ◽  
Unified Framework ◽  
Content Type

Purpose – The purpose of this paper is to propose and empirically test a unified framework that captures the antecedents of e-business implementation, that is; organizational factors which is decomposed into organizational capabilities (training availability, technical expertise, knowledge level), knowledge management capabilities (knowledge acquisition, application, and sharing), adhocracy culture, and top management support, e-business implementation, and organizational performance (efficiency, sales performance, customer satisfaction, relationship development). Design/methodology/approach – Data from a survey of 258 top managers in Saudi Arabian enterprises were collected to empirically test the proposed research model. Additionally, the statistical techniques employed included a confirmatory factor analysis to examine the reliability and validity of the measurement model, and structural equation modeling using AMOS is utilized to test the hypotheses. Findings – The findings of this study suggest that organizational factors influence e-business implementation. Moreover, e-business implementation affects organizational performance. Research limitations/implications – This study did not investigate all organizational factors and knowledge management processes. Future research could assess the influence of additional factors such as technology and environment contexts on e-business implementation. Practical implications – Owners/managers considering e-business implementation would be best to focus on internal (organizational) factors and their interaction within and beyond the organization, rather than focussing exclusively on technological considerations. Originality/value – This study is significant for at least two reasons: it determines the key antecedents to successful business implementation based on organizational factors and it helps to understand the effects of e-business implementation on organizational performance.

On the use of structural equation modeling in marketing image research

2014 ◽  
Vol 26 (2) ◽  
pp. 315-338 ◽  
Author(s):  
Yamen Koubaa ◽  
Rym Srarfi Tabbane ◽  
Rim Chaabouni Jallouli
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Marketing Research ◽  
Equation Modeling ◽  
Future Research ◽  
Statistical Tool ◽  
Conceptual Tool ◽  
Content Type ◽  
Specific Field ◽  
Positive Return

Purpose – The purpose of this paper is to assess the use of structural equation modeling in one specific field of marketing research, the image research. Design/methodology/approach – A meta-analysis of a sample of image marketing works using structural equation modeling (SEM). The period of investigation is limited to the last five years to test for possible positive return of previous assessments of SEM use on the current SEM application. Findings – Following this work, three major conclusions emerged: the study of homogenous samples of SEM models is required to get to accurate assessment of using the technique; SEM application is getting better probably due to learning from SEM reviews; and the reliance on a conjoint assessment of the various SEM issues is necessary to avoid parsimonious assessments. This study has provided a concise and refreshed view on the use of SEM in one marketing field, the image research. Research limitations/implications – 47 SEM papers and 99 models along five years were examined through this research. Although the authors reviewed four of the most consulted databases in marketing, the authors might miss several interesting works not available in these databases during the investigation. It is interesting to add on the works reviewed in this study and to re-conduct the analysis. The objective is not to doubt the consistency of SEM image research but to provide writers and readers with tools that enable them to produce better quality SEM research. Moreover, the quantitative analysis could be larger. Future research can consider computing other statistics. Finally, in the standards of most of marketing journals, this paper is a bit long. But as suggested by Babin et al., journal editors should allow more space to SEM-based reviews as the nature of the discussion requires lengthening. Practical implications – Mastering the statistical tool in marketing research is as important as mastering the conceptual tool. Statistical learning and/or cooperation with statisticians is recommended. Originality/value – A multi-criteria review of works from one specific field in marketing research and across a recent period of time allowing for the test of possible positive return from previous reviews of SEM use on the quality of the current publications of SEM papers.

Mediating roles of capabilities between R&D-marketing integration and business performance

2018 ◽  
Vol 12 (1) ◽  
pp. 81-98 ◽  
Author(s):  
Abdul Ali ◽  
Ken Matsuno
Keyword(s):  
Structural Equation ◽  
Business Performance ◽  
Equation Modeling ◽  
Future Research ◽  
Marketing Capability ◽  
Manufacturing Companies ◽  
Performance Impact ◽  
Cross Sectional ◽  
Content Type ◽  
Technical Capability

Purpose Following the resource-based view, this paper aims to investigate the business performance impact of R&D–marketing integration and marketing and technical capabilities at the organization level in a non-Western context. Specifically, this work explores the mediating role of the two capabilities, while accounting for potential moderating effects and under the contingency of technological turbulence. Design/methodology/approach Survey data were collected from the paired marketing and R&D executives of 207 Japanese manufacturing companies. Data were analyzed using structural equation modeling. Findings The results show that marketing capability – by itself and also coupled with technical capability – mediates the relationship between R&D–marketing integration and business performance, while technical capability alone does not. Research limitations/implications This study’s subjective performance measures and cross-sectional design have inherent limitations. The exploration of antecedents and other contingency variables would provide ample scope for future research. Practical implications The findings suggest that managers need to build these two capabilities, especially marketing capability, because R&D–marketing integration by itself will not be sufficient to improve business performance. Originality/value This study provides empirical evidence for a new theoretical link through which R&D–marketing integration impacts business performance at the program level. The findings may also partially explain the mixed and conflicting results often found in past studies.

scholarly journals Ambidexterity, performance and environmental dynamism

2017 ◽  
Vol 37 (3) ◽  
pp. 282-299 ◽  
Author(s):  
Javier Tamayo-Torres ◽  
Jens K. Roehrich ◽  
Michael A. Lewis
Keyword(s):  
Structural Equation ◽  
Dynamic Environment ◽  
Model Performance ◽  
Equation Modeling ◽  
Manufacturing Companies ◽  
Environmental Dynamism ◽  
Content Type ◽  
Cone Model ◽  
Manufacturing Performance ◽  
The Impact

Purpose The purpose of this paper is to examine the relationship between organizational ambidexterity, the ability of companies to explore new and to exploit existing processes simultaneously, and manufacturing performance as represented by the sand cone model. Moreover, the paper analyses the impact of stable and dynamic environments on this relationship. Design/methodology/approach A set of research questions are tested using structural equation modeling on a sample of 231 Spanish manufacturing companies. Findings Results illustrate a significant relationship between ambidexterity as the basis and enabler for manufacturing performance improvements, building on the sand cone model and its dimensions of quality, delivery, cost, and flexibility. This relationship is further emphasized when companies work in a dynamic environment. Practical implications The study contributes to practice by investigating the important and yet under-explored relationships of ambidexterity, the sand cone model, performance, and a company’s wider market environment. Findings suggest a positive relationship between the sand cone model and ambidexterity capability. Originality/value This study adds to the limited theoretical and empirical understanding of the relationships between ambidexterity, the sand cone model, environmental dynamism, and performance. It also contributes through a set of empirical data derived from Spanish manufacturing companies.

Celebrity Worship Among University Students in Malaysia

2011 ◽  
Vol 16 (4) ◽  
pp. 334-342 ◽  
Author(s):  
Viren Swami ◽  
Tomas Chamorro-Premuzic ◽  
Khairul Mastor ◽  
Fatin Hazwani Siran ◽  
Mohammad Mohsein Mohammad Said ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Attitude Scale ◽  
Equation Modeling ◽  
Future Research ◽  
The West ◽  
Factor Solution ◽  
Movie Stars ◽  
Three Factor

The present study examined conceptual issues surrounding celebrity worship in a Malay-speaking population. In total, 512 Malay and 269 Chinese participants from Malaysia indicated who their favorite celebrity was and completed the Celebrity Attitude Scale (CAS) as well as a range of demographic items. Results showed that the majority of Malay and Chinese participants selected pop stars and movie stars as their favourite celebrities, mirroring findings in Western settings. In addition, exploratory factor analysis revealed a three-factor solution of the CAS that was consistent with previous studies conducted in the West. Structural equation modeling further revealed that participant’s age was negatively associated with celebrity worship and that self-rated attractiveness was positively associated with celebrity worship. Overall, the present results suggest that celebrity worship in Malaysia may be driven by market and media forces, and future research may well be guided by use of the CAS.

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