This work verified, through confirmatory factor analysis, a new measurement model for measuring dynamic capabilities based on current propositions in the literature, using a database of 1008 ...manufacturing sites from 16 countries. The indirect and direct effects of dynamic capabilities on ordinary capabilities and operating and business performance were also checked. In particular, we tested whether there were any mediating or moderating effects between ordinary and dynamic capabilities on operating and business performance. All the tests were performed through SEM in AMOS and OLS in SPSS. Additionally, a Heckman two-step procedure was performed. The proposed measurement model shows a good fit, meaning that it can be used for further exploring the interplay of ordinary and dynamic capabilities. The mediating and moderating effects of dynamic capabilities measured showed only partial mediation and only low and nonsignificant levels of moderation, meaning that further analysis of their interrelationships on performance should be investigated. Measurement models for dynamic capabilities are especially scarce. Virtually no work deals with dynamic capabilities in the field of operations management; yet it is exactly by means of operations that one can verify the dynamic capabilities being used and what benefits they bring.
The article analyses big data usage in the Croatian manufacturing sector. Big data usage is still low but present. We analysed the influence of six sources of big data and their influence on share of ...returns generated by new products using two step OLS regression analysis. The results are robust but they show that some sources have positive and some have negative effects on share of returns generated by new products. Based on the most recent research of scholarly papers we define big data and show a clear research gap by linking big data and innovation. That is, only six papers deal with big data and innovation. In five papers big data comes from social media data, and in the remaining one paper they use data from sensors but predominantly to reduce cost or support the product. Therefore, we contribute by closing this research gap of linking big data and innovation.
Global Manufacturing Research Group is a group of enthusiasts that researches manufacturing practices all around the world. So far the group has collected 1493 filled plant questionnaires, from 25 ...countries Whybark, C., Wacker, J., & Sheu, C. (2009). The evolution of an international academic manufacturing survey. Retrieved from September 5, 2010, from
http://www.decisionsciences.org/DecisionLine/Vol40/40_3/dsi-dl40_3pom.pdf
. This research divided the sample into three groups (low performers, medium performers and best performers). An extensive exploratory research on the data is conducted to find out why the best performers are better than the others and what should the others do to become more profitable. First, best performers are identified and then their competitive priorities and applied manufacturing practices are analysed. The results show that quality is most important to best performers. Best performers score better in comparison with their competitors, they score higher in the usage of most explored 'best practices', and the level of rejects of the incoming material is significantly higher for the best performers. This result can be interpreted as that lower and medium performers should review their incoming material inspection and lower their manufacturing costs accordingly as these are considerably higher in the group of middle and low performers in comparison with high performers.
This paper aims to investigate the influence of intellectual capital (IC) on supply chain collaboration (SCC) and business performance. Two mechanisms of SCC are considered, including ...interorganizational communication (IOC) and shared vision (SV). Based on knowledge-based view, this study explains how IOC and SV mediate the impact of IC on business performance. Structural equation modeling was used to test the hypothesized relationships based on the survey data of 1008 firms in the manufacturing industry. The results demonstrate that IC promotes IOC directly and influences the establishment of SV indirectly through IOC in the supply chain context. In addition, IOC mediates the relationship between IC and business performance. This study establishes the interface between internal knowledge base and external supply chain relationships by examining IC as an antecedent for SCC, and it also contributes to knowledge management literature by revealing that the organization's knowledge resources can influence its performance through collaborative supply chain relationships.
Croatia is a small market. Market orientation only on Croatian territory will not be enough for survival. This research is a kind of inventory of Croatian manufacturing environment (and a ...longitudinal study) from two researches done in years 2006. and 2009. There is a significant difference in competitive priorities between these two researches. While in 2006. it was important to lower costs, in 2009. quality is the most important priority. Some performance indicators (tied to quality) have risen, while others have fallen probable due to world economic crises. We hypothesize that raise in some performance indicators is a result of a tighter control in companies. For our analysis confirmatory and exploratory factor analysis was used. Confirmatory to check do control measures fall into four categories (financial, internal, external and development measures) as proposed by literature. It is also hypothesized that we will find a better model fit for 2009. data then for 2006. data since our companies have raised usage of control in companies. Since our confirmatory factor analysis has shown Joreskog GFI less then 0,9 it was analyzed in what groups our control measures fall. We found a difference in main control measures obtained by exploratory factor analysis then theoretical predictions. But to show that the question of control is not straight forward we also have done a regression analysis of control measure usage on gains before tax. All control measures contribute to raise in gains before tax but interestingly for year 2009. very important measure is checking if customers are satisfied. Reprinted by permission of the Croatian Economics Association
The main aim of this paper is to evaluate if manufacturing firms can boost their performance through green innovations. The literature on this topic shows contradictory findings. We have concentrated ...on the effect of advanced manufacturing technologies (AMT) on green innovations. To the authors’ best knowledge, this research is the first to examine the impact of a firm’s own AMT on green innovation and the firm’s performance at the same time. Green innovation in our research relates to green product innovation. The data analysis is performed through three-step OLS regression analysis and two evaluation models. One model looks at AMT and how they affect green innovation, and the second model looks at how AMT and green innovations affect performance. Our findings suggest that AMT contribute to both the firm’s performance and green innovation. We found that technology is a moderator for green innovations. While the majority of research emphasizes that firms will not eco-innovate unless they receive subsidies or severe restrictions are imposed, we show that out of all innovations, 66% are green innovations. Restrictions such as having ISO 14000 certification do not contribute to green innovation, but rather the age of the firm does.
Purpose
Prior research has shown that operational intellectual capital (OIC) and investments in lean practices (ILP) lead to better operational performance. However, there have been no empirical ...studies on the synergetic effects between OIC components and ILP. More specifically, the question – can the efficacy of ILP be increased through OIC? – has not been studied. Accordingly, the purpose of this paper is to report the empirical results of potential synergetic effects between OIC, as a knowledge-based resource, and ILP.
Design/methodology/approach
The empirical data used for this study were drawn from the fifth round of the Global Manufacturing Research Group survey project (with data collected from 528 manufacturing plants). The hypotheses are empirically tested using three ordinary least square (OLS) models.
Findings
The authors’ findings highlight the importance of leveraging a system of complementary knowledge-based resources (OIC dimensions) and addresses the need for the reformulation of lean theory in terms of the emergent knowledge-based view of the firm. The results facilitate greater understanding of the complex relationship between ILP and operational performance. Building on the contribution of Menor
et al.
(2007), the authors argue that OIC represents a strategic knowledge-based resource that is valuable, hard to imitate or substitute and, when leveraged effectively, generates superior operational and competitive advantage.
Practical implications
From a managerial standpoint, this study provides guidelines for managers on how to leverage OIC to enhance the efficacy of ILP. The authors argue that firms consider investing in OIC to increase the return from ILP, which, in turn, will enhance their operational performance and provide competitive advantage. The authors findings provide strong evidence of the importance of human, social and structural capital to enhance the efficacy of ILP.
Originality/value
This is the first research paper that extends the application of the intellectual capital theory in lean literature, and argues that the OIC contributes to the efficacy of ILP. The analysis facilitates greater understanding of the complex relationship between OIC dimensions, ILP and operational performance.
Purpose
Firms innovate and sophisticate their offerings to remain competitive. This sophistication often finds opportunities in servitization. Given that many customers expect the service offering ...from manufacturing companies, it is crucial to research what capabilities drive service offerings and their impact on performance. The purpose of this paper is to test the capabilities–service–performance chain.
Design/methodology/approach
A conceptual model is proposed and the research hypothesis is tested using structural equation modelling (SEM) performed on a data set corresponding to 205 Spanish and Croatian manufacturing firms.
Findings
Using SEM, this research analyses the causal model between manufacturing, organizational and digital capabilities on base, intermediate and advanced services, and their impact on both service and financial performance.
Research limitations/implications
This study has some limitations: the advanced service construct was mostly developed on case-based research. Some constructs have low convergent validity and reliability. The relative smallness of the data set used and its two-country provenance could raise issues about the international nature and generalizability of the findings.
Practical implications
Digital capabilities are important for the provision of all three groups of services in terms of using digital devices in data acquisition, helping to make the manufacturing company more agile.
Originality/value
The present study also contributes to the conceptual framework of servitization by providing a new and more up-to-date definition of capabilities and services, also considering digital capabilities, which are less explored. It also contributes to being the first to explore the entire manufacturing sector nomenclature statistique des activités and économiques dans la Communauté éuropéenne (NACE) 10–31.
The diffusion of technologies within an economic system is an intricate process, influenced by a variety of factors, including governmental policies, the characteristics of adopting companies, and ...the technologies that can be adopted. This study aimed to investigate the relationship between the implementation of environmental management systems (EMSs), such as ISO 14001, or energy management systems (EnMSs), such as ISO 50001, and the adoption of energy recuperation technologies (ERTs), which are a subset of energy efficient technologies (EETs). To achieve this, our research leveraged data from the 2018 European Manufacturing Survey, specifically a subsample of 798 companies across five European countries: Croatia, Slovenia, Austria, Slovakia, and Lithuania. Due to the investigation of relationships and the type of variables used, we employed a two-step ordinary least squares (OLS) regression analysis. Our analysis uncovered that the current utilization of EMSs and EnMSs within companies is significantly linked to the current use of ERTs. However, upon further examination of the implementation timeline, it became improbable that EMSs or EnMSs have a substantial impact on enhancing the adoption of these technologies in the short term. Moreover, our results show that technological intensity and product complexity does not play a determining role in the adoption of ERTs, but they did show that larger companies tend to invest more in ERTs, which is in line with the findings of previous studies.
Servitization is often based on technology, with the producer not selling products but rather offering product-related services. While servitization had been steadily gaining interest until ...relatively recently, a new trend called deservitization, the outsourcing of service provision, has seen a slow uptake in the scientific literature. This work analyses why servitization is not always beneficial. We analyze the effect of product complexity on servitization and deservitization in three Southern European countries. Due to high competition and knowledge leaking, manufacturers of complex products tend to servitize with their own resources, thus avoiding deservitization or outsourcing of service provision. The analysis is performed using two-step OLS regression. The results confirm that the hypotheses and the model are significant and that manufacturers of simple products tend to deservitize, while manufacturers of complex products tend to servitize. Managerial implications refer to alternatives as to when to enter the servitization arena and when it is more beneficial to deservitize.
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