Measurement of innovation resource allocation efficiency in civil–military integration enterprises

Kybernetes ◽  
2019 ◽  
Vol 49 (3) ◽  
pp. 835-851 ◽  
Author(s):  
Zilong Wang ◽  
Zhiwen Zhang ◽  
Ng Choon Yeong Jhony
Keyword(s):  
Resource Allocation ◽  
Tobit Model ◽  
Two Stage ◽  
Content Type ◽  
Innovation Activities ◽  
Resource Allocation Efficiency ◽  
Dea Method ◽  
Overall Efficiency ◽  
Positive Effect ◽  
Stage Efficiency

Purpose As a transition economy, China is interested in allocating its limited innovation resources economically, reasonably and efficiently to produce as many outputs as possible with its limited financial and human resources. Nonetheless, what is the efficiency of the allocation of innovative resources for civil–military integration enterprises, and what factors hinder its efficiency improvement? The purpose of this paper is to explore these problems. Design/methodology/approach The improved two-stage network data envelopment analysis (DEA) method is used to measure the overall efficiency and stage efficiency of the innovation resource allocation of 58 Chinese civil–military integration listed companies from 2010 to 2016. Tobit model is used to analyze the influencing factors of resource allocation efficiency. Findings The results indicate that the overall efficiency and stage efficiency of innovation resource allocation fluctuate in varying degrees during the period. The optimization of overall efficiency is restricted by lower efficiency of innovation achievement transformation. Enterprise scale was found to have a significant negative impact on both overall and two-stage efficiencies. Proportion of research and development (R&D) personnel had a positive effect on the overall and two-stage efficiency. Government support had a significant positive effect on the stage of innovation resource development and overall efficiency. Originality/value Previous research studies have used either the DEA or stochastic frontier analysis method to measure the efficiency of innovation activities as a whole and ignored the stage of initial investment to final output in innovation activities. That is, the process in which initial input of R&D resources becomes innovation output, and then becomes economic benefits. Therefore, this paper studies the efficiency of innovation resource allocation of civil–military integration listed companies. The improved two-stage chain network DEA method and Tobit model were used.

scholarly journals Research on Efficiency of Animation Enterprises Based on Two-Stage DEA Network System Model of Sharing Input Resources

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Shuo Zhang ◽  
Xuemei Yang ◽  
Jian Zhang ◽  
Mengjie Liao ◽  
Lin Qi
Keyword(s):  
Production Quality ◽  
System Model ◽  
Network System ◽  
Research Model ◽  
Two Stage ◽  
Second Stage ◽  
Production Quantity ◽  
Overall Efficiency ◽  
Stage Efficiency

This research constructs a two-stage DEA network system model of shared input resources to evaluate the efficiency of animation companies: the first-stage efficiency to reflect the production quantity and the second-stage efficiency to reflect the production quality of animation products, where the quality of animation products is judged based on the market recognition of the animation products. The overall efficiency in the research model is used to describe the development of animation enterprises. According to the result, it is concluded that the overall efficiency of the surveyed animation companies and the efficiency of each sub-stage have shown an upward trend, which is in line with the growth of the company's development.

Investor reaction to R&D investment

2016 ◽  
Vol 8 (2) ◽  
pp. 133-147
Author(s):  
Xin Li ◽  
Tienan Wang
Keyword(s):  
Stock Price ◽  
New Product ◽  
Content Type ◽  
Innovation Activities ◽  
Development Capacity ◽  
The Impact ◽  
D Investment ◽  
Investor Reaction ◽  
Positive Effect

Purpose This paper aims to examine the impact of research and development (R&D) investment on firms’ stock price from the perspective of investors. Design/methodology/approach Building on signaling theory, the authors propose that R&D investment sends important signals to the investment community regarding future growth, which in turn impacts investor reaction to such investment. Findings Using a sample of listed pharmaceutical firms in China from 2007 to 2011, the authors find that R&D investment has a positive effect on firms’ stock price, indicating that investors have a positive reaction to R&D investment signals. Further, the authors find that the signaling role of new product announcements mediates this relationship between R&D investment and investor reaction. Originality/value The authors also find that the signaling role of development capacity (DC) has a moderating effect on the relationship between innovation activities (i.e. R&D investment and new product announcements) and investor reaction, such that DC strengthens the positive effect of R&D and new product announcements on investors.

Knowledge sharing and exchange of information within bank and firm networks: the role of the intangibles on the access to credit

2014 ◽  
Vol 18 (5) ◽  
pp. 1036-1051 ◽  
Author(s):  
Maria Rosaria Della Peruta ◽  
Francesco Campanella ◽  
Manlio Del Giudice
Keyword(s):  
Information Exchange ◽  
Banking System ◽  
Credit System ◽  
Content Type ◽  
Access To Credit ◽  
Innovation Activities ◽  
Using Data ◽  
Further Development ◽  
Positive Effect

Purpose – The purpose of this paper is to theoretically develop the idea that the intangible value of the collaboration between firms and the banking system can influence the probability of default (PD) on the part of firms and, therefore, their rating. The authors also propose that collaboration between banks and firms has a positive effect not only on the access to credit but also on the innovation activities and on the intervention of foreign capital in the ownership of Italian businesses. Design/methodology/approach – As pointed out by the literature on smaller businesses finance, investments widely rely on credit availability. Tests using data on a sample investigation involving 5,587 firms, operating in 17 manufacturing sectors in Italy, support the majority of the proposed ideas. Findings – The empirical investigation shows that only some aspects of the collaboration between enterprises and banks influence the PD, the investments in R&D and the internationalisation of ownership of the enterprises. In particular, the three stated variables are positively influenced both by the intensity of the credit relationship and by the level of information exchange with the credit system. Research limitations/implications – Further development of this research, as more empirical data become available, should allow explaining why the level of information exchange with the credit system has the greatest influence on the dependent variables analyzed. Originality/value – This paper aims to extend the current understanding on how the local banking system is developed and is able to increase access to credit after gathering all the information about firms asking for funds.

Two-stage incentives system for commercial banks based on centralized resource allocation model in DEA-R

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Parisa Kamyab ◽  
Mohammad Reza Mozaffari ◽  
Javad Gerami ◽  
Peter F. Wankei
Keyword(s):  
Resource Allocation ◽  
Commercial Banks ◽  
Programming Model ◽  
Efficient Frontier ◽  
Incentive Systems ◽  
Two Stage ◽  
Allocation Model ◽  
Content Type ◽  
Staff Members ◽  
Productive Process

PurposeIt is always of great importance for managers in organizations to evaluate their staff members and create incentive systems, using instruments such as Data Envelopment Analysis (DEA) and DEA-R (DEA models based on ratio analysis). The purpose of this paper is to propose a two-stage network incentives system for commercial banks.Design/methodology/approachCentralized Resource Allocation (CRA) models make it possible to project all decision-making units (DMUs) onto the efficient frontier by solving a single linear programming model. In this paper, we use our proposed DEA-R-based CRA models to evaluate commercial banks in a two-stage case when the only ratios available are the assets-to-costs and income-to-assets vectors.FindingsThirteen commercial banks modeled as two-stage networks were evaluated by the models proposed in two different cases of ratio data. Results suggest that the proposed methodology yields more accurate efficiency scores, thus allowing better discrimination among DMUs. Furthermore, evaluating the DMUs when they are structured as two-stage (or even three-stage) networks makes it possible to examine the incentives system in more detail. Therefore, the use of incentive systems by managers would allow a better focus on the priority activities of commercial banks and a faster movement toward the frontier of best practices.Originality/valueThe super-efficiency scores of a number of commercial banks are evaluated based on the CRA model, as a cornerstone criterion for the two-stage evaluation in DEA-R, thus allowing the rank of each commercial bank in terms of the incentives system rather on the performance of the productive process.

A benchmarking study of Indian seaports

2019 ◽  
Vol 13 (1) ◽  
pp. 88-102
Author(s):  
Sajeev Abraham George ◽  
Anurag C. Tumma
Keyword(s):  
Financial Performance ◽  
Future Research ◽  
Data Envelopment ◽  
Operational Parameters ◽  
Two Stage ◽  
Content Type ◽  
The Public ◽  
Port Authorities ◽  
Financial Performance Measures ◽  
The Government

Purpose The purpose of this paper is to benchmark the operational and financial performances of the major Indian seaports to help derive useful insights to improve their performance. Design/methodology/approach A two-stage data envelopment analysis (DEA) methodology has been used with the help of data collected on the 13 major seaports of India. The first stage of the DEA captured the operational efficiencies, while the second stage the financial performance. Findings A window analysis over a period of three years revealed that no port was able to score an overall average efficiency of 100 per cent. The study identified the better performing units among their peers in both the stages. The contrasting results of the study with the traditional operational and financial performance measures used by the ports helped to derive useful insights. Research limitations/implications The data used in the study were majorly limited to the available sources in the public domain. Also, the study was limited to the major seaports which are under the Government of India and no comparisons were carried out with other local or international ports. Practical implications There is a need to prioritize investments and improvement efforts where they are most needed, instead of following a generalized approach. Once the benchmark ports are identified, the port authorities and other relevant stakeholders should work in detail on the factors causing inefficiencies, for possible improvements in performance. Originality/value This paper carried out a two-stage DEA that helped to derive useful insights on operational efficiency and financial performance of the India seaports. A combination of the financial and operational parameters, along with a comparison of the DEA results with the traditional measures, provided a different perspective on the Indian seaport performance. Considering the scarcity of research papers reported in the literature on DEA-based benchmarking studies of seaports in the Indian context, it has the potential to attract future research in this field.

Impact of relatedness, uncertainty and slack on corporate entrepreneurship decisions

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Robert Garrett ◽  
Shaunn Mattingly ◽  
Jeff Hornsby ◽  
Alireza Aghaey
Keyword(s):  
Decision Making ◽  
Hierarchical Linear Modeling ◽  
Cognitive Strategies ◽  
Corporate Entrepreneurship ◽  
New Venture ◽  
Organizational Level ◽  
Linear Modeling ◽  
Slack Resources ◽  
Content Type ◽  
Positive Effect

PurposeThe purpose of this study is to evaluate the effect of opportunity relatedness and uncertainty on the decision of a corporate entrepreneur to pursue a venturing opportunity.Design/methodology/approachThe study uses a conjoint experimental design to reveal the structure of respondents' decision policies. Data were gathered from 47 useable replies from corporate entrepreneurs and were analyzed with hierarchical linear modeling (HLM).FindingsResults show that product relatedness, market relatedness, perceived certainty about expected outcomes and slack resources all have a positive effect on the willingness of a corporate entrepreneur to pursue a new venture idea. Moreover, slack was found to diminish the positive effect of product relatedness on the likelihood to pursue a venturing opportunity.Practical implicationsBy providing a better understanding of decision-making schemas of corporate entrepreneurs, the findings of this study help improve the practice of entrepreneurship at the organizational level. In order to make more accurate opportunity assessments, corporate entrepreneurs need to be aware of their cognitive strategies and need to factor in the salient criteria affecting such assessments.Originality/valueThis paper adds to the limited understanding of corporate-level decision-making with regard to pursuing venturing opportunities. More specifically, the paper adds new insights regarding how relatedness and uncertainty affect new venture opportunity assessments in the presence (or lack thereof) of slack resources.

Impact of capital enrichment on resource allocation efficiency in China’s manufacturing industry

2021 ◽  
pp. 1-17
Author(s):  
Lina Ma ◽  
Fengju Xu ◽  
Lihua Wang ◽  
Akther Taslima
Keyword(s):  
Resource Allocation ◽  
Manufacturing Industry ◽  
Evaluation Model ◽  
Development Trend ◽  
Inhibitory Effect ◽  
Capital Allocation ◽  
Curvilinear Relationship ◽  
Allocation Efficiency ◽  
Capital Allocation Efficiency ◽  
Resource Allocation Efficiency

Capital enrichment (CE) results from capital flows, which reflect the capital distribution among different regions and industries. This paper constructs the evaluation model of resource allocation efficiency from the perspective of capital and innovation resources. It expounds on CE’s theoretical mechanism by using the panel data from 2011 to 2018 for system GMM estimation. It finds that the manufacturing capital allocation efficiency (CAE) and innovation resource allocation efficiency (IRAE) show a volatile development trend. Both static and dynamic panel models show that there is a significant U-shaped curvilinear relationship between CE and CAE, CE and IRAE. CE’s inhibitory effect on CAE and IRAE decreases with the improvement of CE until it exceeds the critical value of 8.27 and 8.93. After that, its impact on CAE and IRAE changes from negative to positive.

scholarly journals Cooperative Green Technology Innovation of an E-Commerce Sales Channel in a Two-Stage Supply Chain

2021 ◽  
Vol 13 (13) ◽  
pp. 7499
Author(s):  
Zongyu Mu ◽  
Yuangang Zheng ◽  
Hao Sun
Keyword(s):  
Supply Chain ◽  
Technology Innovation ◽  
Spillover Effect ◽  
Product Market ◽  
Free Riding ◽  
Green Technology ◽  
Market Demand ◽  
Two Stage ◽  
Sales Channel ◽  
Innovation Activities

The potential broad market of green consumption has encouraged an increasing number of enterprises to carry out green technology innovation activities. This paper examines a two-stage supply chain of e-commerce sales channels under different cooperative models. We find that consumers’ green preferences are the main factor that affects green product market demand. The manufacturer and the retailer can raise the levels of green technology innovation and extend green promotional services to expand product market demand in online and offline channels. However, consumers’ e-commerce preferences and online free-riding behaviors affect the manufacturer’s sales channel choice. The retailer can improve the level of green promotional services to hold offline channel market demand, while promotional behaviors have a positive/negative spillover effect on online market demand if the level of free riding falls above/below consumers’ e-commerce preferences. The higher the cooperative level is, the later the manufacturer will open the online channel and close the offline channel to ensure a high level of green promotional service from the cooperative retailer. The results show that the stronger the level of cooperation among all members is, the better the economic, ecological, and social benefits will be. Therefore, we design a revenue-cost sharing contract that can effectively motivate green technology innovation and green promotional services and afford all members win-win profits.

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