Process Innovation with Ambient Intelligence (AmI) Technologies in Manufacturing SMEs

2012 ◽  
pp. 1026-1042
Author(s):  
Kathryn J. Hayes ◽  
Ross Chapman
Keyword(s):  
Absorptive Capacity ◽  
Ambient Intelligence ◽  
Manufacturing Industry ◽  
Innovation Policy ◽  
Capacity Constraints ◽  
Capacity Limitations ◽  
Industry Standards ◽  
Ict Industry ◽  
Research Organisations

This chapter considers the potential for absorptive capacity limitations to prevent SME manufacturers benefiting from the implementation of Ambient Intelligence (AmI) technologies. The chapter also examines the role of intermediary organisations in alleviating these absorptive capacity constraints. In order to understand the context of the research, a review of the role of SMEs in the Australian manufacturing industry, plus the impacts of government innovation policy and absorptive capacity constraints in SMEs in Australia is provided. Advances in the development of ICT industry standards, and the proliferation of software and support for the Windows/Intel platform have brought technology to SMEs without the need for bespoke development. The results from the joint European and Australian AmI-4-SME projects suggest that SMEs can successfully use “external research sub-units” in the form of industry networks, research organisations and technology providers to offset internal absorptive capacity limitations.

Process Innovation with Ambient Intelligence (AmI) Technologies in Manufacturing SMEs

2011 ◽  
pp. 65-82
Author(s):  
Kathryn J. Hayes ◽  
Ross Chapman
Keyword(s):  
Absorptive Capacity ◽  
Ambient Intelligence ◽  
Manufacturing Industry ◽  
Innovation Policy ◽  
Capacity Constraints ◽  
Capacity Limitations ◽  
Industry Standards ◽  
Ict Industry ◽  
Research Organisations

This chapter considers the potential for absorptive capacity limitations to prevent SME manufacturers benefiting from the implementation of Ambient Intelligence (AmI) technologies. The chapter also examines the role of intermediary organisations in alleviating these absorptive capacity constraints. In order to understand the context of the research, a review of the role of SMEs in the Australian manufacturing industry, plus the impacts of government innovation policy and absorptive capacity constraints in SMEs in Australia is provided. Advances in the development of ICT industry standards, and the proliferation of software and support for the Windows/Intel platform have brought technology to SMEs without the need for bespoke development. The results from the joint European and Australian AmI-4-SME projects suggest that SMEs can successfully use “external research sub-units” in the form of industry networks, research organisations and technology providers to offset internal absorptive capacity limitations.

Absorptive capacity in a two-sector neo-Schumpeterian model: a new role for innovation policy

2019 ◽  
Vol 29 (2) ◽  
pp. 507-531
Author(s):  
Isabel Almudi ◽  
Francisco Fatas-Villafranca ◽  
Carlos M Fernández-Márquez ◽  
Jason Potts ◽  
Francisco J Vazquez
Keyword(s):  
Absorptive Capacity ◽  
Innovation Policy ◽  
Capacity Constraints ◽  
Knowledge Evolution ◽  
Sector Model ◽  
Innovative Capabilities ◽  
Innovative Capacity ◽  
Downstream User ◽  
Targeted Approach

Abstract We propose a new co-evolutionary computational two-sector approach to the design of national innovation policy that recognizes the importance of intersectoral absorptive capacity constraints in innovation linkages between sectors in an economy. We show how the innovative capacity of an upstream producer sector can be constrained by the absorptive capacity of the downstream-user sector. This suggests that the low productivity performance of modern innovation policy might in part be understood as a consequence of sectorally unbalanced knowledge evolution, where the problem lies in underinvestment in innovative capabilities in the downstream sector. Our computational two-sector model suggests an important role for innovation policy to create a balanced, sectorally targeted approach.

From Assortative to Dissortative Networks: The Role of Capacity Constraints

2010 ◽  
Author(s):  
Michael Koenig ◽  
Claudio J. Tessone ◽  
Yves Zenou
Keyword(s):  
Capacity Constraints

scholarly journals Calibrating the CreditRisk+ Model at Different Time Scales and in Presence of Temporal Autocorrelation †

Mathematics ◽  
2021 ◽  
Vol 9 (14) ◽  
pp. 1679
Author(s):  
Jacopo Giacomelli ◽  
Luca Passalacqua
Keyword(s):  
Time Series ◽  
Default Risk ◽  
Real Life ◽  
Statistical Error ◽  
Real Data ◽  
Sampling Period ◽  
Calibration Procedure ◽  
Industry Standards ◽  
Default Rate

The CreditRisk+ model is one of the industry standards for the valuation of default risk in credit loans portfolios. The calibration of CreditRisk+ requires, inter alia, the specification of the parameters describing the structure of dependence among default events. This work addresses the calibration of these parameters. In particular, we study the dependence of the calibration procedure on the sampling period of the default rate time series, that might be different from the time horizon onto which the model is used for forecasting, as it is often the case in real life applications. The case of autocorrelated time series and the role of the statistical error as a function of the time series period are also discussed. The findings of the proposed calibration technique are illustrated with the support of an application to real data.

scholarly journals The Role of Internal Control in Firms’ Coping with the Impact of the COVID-19 Pandemic: Evidence from China

2021 ◽  
Vol 13 (11) ◽  
pp. 6294
Author(s):  
Peiqing Zhu ◽  
Jianbo Song
Keyword(s):  
Internal Control ◽  
Manufacturing Industry ◽  
Firm Heterogeneity ◽  
Negative Impact ◽  
Risk Prevention ◽  
High Tech ◽  
Obvious Effect ◽  
The Difference ◽  
The Impact

Internal control plays a role in risk prevention for firms when dealing with serious emergencies, which ensures the sustainable development of firms during a crisis. Based on the rapid outbreak of COVID-19 in China, this paper empirically tests whether internal control alleviates the negative impact of the pandemic on firm performance. Using a sample of Chinese listed firms from the first quarter of 2019 to the third quarter of 2020 and employing the difference-in-difference (DID) method, we find that the firms with a higher quality of internal control achieve better financial performance during the pandemic period; the more serious the pandemic is, the more obvious effect internal control plays. Furthermore, we consider the industry heterogeneity and firm heterogeneity of the risk resistance effect of internal control. In the manufacturing industry, which is a “disaster zone” of the pandemic, and the non-high-tech industry with a low degree of digitization, internal control can play a more important role in firms’ performance. Moreover, for state-owned enterprises, and firms with strong financing constraints, the role of internal control is more prominent. The above results provide empirical evidence for the risk prevention function of internal control and shed new light on the measures for firms to resist emergencies in the future.

scholarly journals The Role of Managerial Commitment and TPM Implementation Strategies in Productivity Benefits

2018 ◽  
Vol 8 (7) ◽  
pp. 1153 ◽  
Author(s):  
José Díaz-Reza ◽  
Jorge García-Alcaraz ◽  
Liliana Avelar-Sosa ◽  
José Mendoza-Fong ◽  
Juan Sáenz Diez-Muro ◽  
...  
Keyword(s):  
Least Squares ◽  
Structural Equation Model ◽  
Preventive Maintenance ◽  
Latent Variables ◽  
Structural Equation ◽  
Manufacturing Industry ◽  
Implementation Strategies ◽  
Equation Model ◽  
Total Productive Maintenance

The present research proposes a structural equation model to integrate four latent variables: managerial commitment, preventive maintenance, total productive maintenance, and productivity benefits. In addition, these variables are related through six research hypotheses that are validated using collected data from 368 surveys administered in the Mexican manufacturing industry. Consequently, the model is evaluated using partial least squares. The results show that managerial commitment is critical to achieve productivity benefits, while preventive maintenance is indispensable to total preventive maintenance. These results may encourage company managers to focus on managerial commitment and implement preventive maintenance programs to guarantee the success of total productive maintenance.

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