scholarly journals Impact of Innovation Culture, Organization Size and Technological Capability on the Performance of SMEs: The Case of China

2020 ◽  
Vol 12 (4) ◽  
pp. 1355
Author(s):  
GuoXiang Tang ◽  
Kwangtae Park ◽  
Anurag Agarwal ◽  
Feng Liu
Keyword(s):  
Firm Performance ◽  
Manufacturing Industry ◽  
Service Industry ◽  
Technological Capability ◽  
Service Industries ◽  
Organization Size ◽  
Innovation Culture ◽  
Rapid Economic Growth ◽  
Service Sectors ◽  
Apply Regression Analysis

Small and medium-sized enterprises (SMEs) in both the manufacturing and service sectors have been viewed as an important driving force behind the rapid economic growth in China. There are multiple factors that drive the success of SMEs. In this paper, we study the effect of innovation culture, technological capability, and organization size on the performance of SMEs in China. We hypothesize that firm performance is positively affected by each of these factors. We use data from 1124 SMEs in China and apply regression analysis to test our hypotheses. We find that technological capability and organization size have a statistically positive effect on the performance of SMEs. Because manufacturing and service industries have distinct characteristics, we also compare the effects of these factors on firm performance within these industries. We find that technological capability is positively and statistically significantly related to firm performance in the manufacturing industry but not in the service industry, while innovation culture is positively and statistically significantly related to firm performance in the service industry but not in the manufacturing industry.

scholarly journals Research on Influences of Employment in Manufacturing Industry on that in the Service Industry Based on Bayes Model

2018 ◽  
Vol 2 (3) ◽  
pp. 77
Author(s):  
Yue Sun
Keyword(s):  
Manufacturing Industry ◽  
Service Industry ◽  
Service Industries ◽  
Nonlinear Functions ◽  
Bayes Model ◽  
Cardinal Spline ◽  
Error Terms ◽  
Partial Linear ◽  
Stable Growth ◽  
The Impact

Using the data of 285 prefectural and the above-level cities from 2004 to 2016, this thesis reveals the impact of employment in China's urban manufacturing industry on the employment of service industries with the Bayesian model. Under the Bayesian framework, partial linear semi-parametric model is proposed.  The nonlinear functions are fitted by using truncation base cardinal spline and considering the random error terms of mixed normal fitting models. The results show that: employment in the urban manufacturing industry in China has significant influence on the employment in the service industry. When the number of employees in the manufacturing industry changes from 0 to 650,000, the manufacturing industry has less influence. When the number of the employees in the manufacturing industry changes from 650,000 to 900,000, the employees of the service industry will dramatically increase. When the number of the employees in the manufacturing industry is more than 900,000, the employees in the service industry will be prone to stable growth.

The prioritization of technologies and public R&D roles between the manufacturing and service industries in the fourth industrial revolution

foresight ◽  
2019 ◽  
Vol 21 (6) ◽  
pp. 680-694 ◽  
Author(s):  
Jinwon Kang ◽  
Jong-Seok Kim ◽  
Seonmi Seol
Keyword(s):  
Artificial Intelligence ◽  
Manufacturing Industry ◽  
Market Failure ◽  
Industrial Revolution ◽  
Service Industry ◽  
Service Industries ◽  
Delphi Survey ◽  
Smart Factory ◽  
Content Type ◽  
Fourth Industrial Revolution

Purpose The purpose of this study is to reveal the similarities and differences between the manufacturing and service industries in their prioritization of technologies and public research and development (R&D) roles, along with the complementation of properties of technology and public R&D role in the context of Fourth Industrial Revolution. Design/methodology/approach Two rounds of Delphi surveys were designed to meet the purpose of this study, which used rigorous triangulation techniques. The Delphi method was combined with the brainstorming method in the first-round Delphi survey, while the second-round Delphi survey focused on experts’ judgments. Finally, language network analysis was performed on the properties of technology and public R&D roles to complement the data analyses regarding prioritization. Findings This study identifies different prioritizations of five similar key technologies in each industry, so that it can note different technological impacts to the two industries in the Fourth Industrial Revolution. Smart factory technology is the first priority in the manufacturing industry, whereas artificial intelligence is the first priority in the service industry. The properties of the three common technologies: artificial intelligence, big data and Internet of things in both industries are summarized in hyper-intelligence on hyper-connectivity. Moreover, it is found that different technological priorities in the service and manufacturing industries require different approaches to public R&D roles, while public R&D roles cover market failure, system failure and government failure. The highest priority public R&D role for the service industry is the emphasis of non-R&D roles. Public R&D role to solve dy-functions, focus basic technologies and support challenging areas of R&D is prioritized at the highest for the manufacturing industry. Originality/value This study of the different prioritizations of technologies in the manufacturing and service industries offers practical lessons for executive officers, managers and policy-makers. They, by noting the different technological impacts in the manufacturing and service industries, can prepare for current actions and establish the priority of technology for R&D influencing the future paths of their industries in the context of the Fourth Industrial Revolution. While managers in the service industry should pay greater attention to the technological content of hyper-intelligence and hyper-connectivity, managers in the manufacturing industry should consider smart factory and robot technology.

scholarly journals The Influence of Industrial Structure Upgrade on Coupling and Coordinated Development—Empirical Analysis From Chinese Pharmaceutical Manufacturing and Pharmaceutical Service Industries

2021 ◽  
Vol 9 ◽  
Author(s):  
Meng Hu ◽  
Chunhai Tao ◽  
Hao Zhou
Keyword(s):  
Regression Model ◽  
Manufacturing Industry ◽  
Medical Service ◽  
Industrial Structure ◽  
Service Industry ◽  
Service Industries ◽  
Pharmaceutical Manufacturing ◽  
Coordinated Development ◽  
The Impact ◽  
Coordination Degree

The degree of coupling and coordination between the pharmaceutical manufacturing industry and the medical service industry crucially requires improvement by promoting the development of the pharmaceutical manufacturing industry through industrial structure upgrading to narrow the gap between them. First, this article uses the coupling coordination degree model to measure the coupling coordination degree of the Chinese pharmaceutical manufacturing industry and medical service industry; then, it theoretically analyzes the mechanism through which upgrading the pharmaceutical manufacturing industry's industrial structure can improve the coupling coordination degree. Finally, we empirically test the impact of upgrading the pharmaceutical manufacturing industry's industrial structure on the coupling and coordination degree between it and the medical service industry. The main conclusions are as follows: (1). The quantile regression model shows that having an advanced pharmaceutical manufacturing industry positively affects its coupling and coordination with the medical service industry; (2). A threshold regression model is tested, and it is found that only when the pharmaceutical manufacturing industry reaches an advanced level can it significantly promote joint and coordinated development with the medical service industry; (3). Rationalizing the pharmaceutical manufacturing industry structure will inhibit a high level of coordination between it and the medical service industry and their coordinated development.

scholarly journals IT Adoption and Sustainable Growth of Firms in Different Industries—Are the Benefits Still Expected?

2020 ◽  
Vol 12 (22) ◽  
pp. 9689
Author(s):  
Inha Oh ◽  
Dongnyok Shim
Keyword(s):  
Manufacturing Industry ◽  
Service Industry ◽  
Information Service ◽  
Sustainable Growth ◽  
Female Employment ◽  
It Adoption ◽  
Industrial Sectors ◽  
Service Sectors ◽  
It Applications ◽  
Activity Survey

This study uses data from the Korea business activity survey panel from 2008 to 2016 to examine the effects on the sustainable growth of firms that initially adopted Information Technology (IT) applications during 2010 to 2012 compared to those that did not. The effects are examined for four years after adoption and divided into areas such as sales, labor productivity, profitability, increases in male and female employment, wages, and exports. Because the effects of IT adoption are known to vary greatly depending on the industry, the manufacturing industry is divided into traditional, medium-tech, and hi-tech manufacturing, and the service industry is divided into the materials service and information service sectors; the effects on each sector are then observed. In addition, the propensity score matching methodology is used to overcome selection bias arising from a simple comparison between firms that began using IT and firms that did not. The results show that, although there was little impact on productivity, there were impacts on sales and employment and large differences were found between the industrial sectors.

Influence of Age and Size on Firm Performance-A Comparative Study of Manufacturing and Service Sectors.

2005 ◽  
Vol 1 (2) ◽  
pp. 91-103
Author(s):  
J. Raja ◽  
A. Suresh Kumar
Keyword(s):  
Firm Performance ◽  
Comparative Study ◽  
Negative Relationship ◽  
Manufacturing Firms ◽  
Service Industries ◽  
Total Asset ◽  
Service Firms ◽  
Firm Age ◽  
Service Sectors ◽  
Asset Size

This paper addresses the issue of firm age and asset (Size) impact on firm performance. The main purpose of this paper is to find, whether firms age and asset can behave in similar fashion across industries particularly in manufacturing and service industries. The results show that manufacturing firms are older and slightly better profitable than services firms. The age of the firm is significant but negatively related to services firms The firm age does not produce any result for many facturing firms. Interestiingly, the total asset of the manufacturing firms’ is significantly related to firm performance, but it produces negative relationship between firm asset and firm perfprmance. The firm asset does not yield any results for service firms. Finally, it is concluded that the age and asset of the firm behaves differntly according to the industry charcterstics.

scholarly journals IT Impacts On Performance Of Service Firms Through Operation-Level Dynamic Capability

2012 ◽  
Vol 28 (6) ◽  
pp. 1283 ◽  
Author(s):  
One-Ki (Daniel) Lee ◽  
Peng Xu ◽  
Jean-Pierre Kuilboer ◽  
Noushin Ashrafi
Keyword(s):  
Firm Performance ◽  
Value Of Information ◽  
Information Technologies ◽  
Service Industry ◽  
The United States ◽  
Service Industries ◽  
Dynamic Capability ◽  
Service Firms ◽  
Strategic Value ◽  
Service Setting

This study focuses on the strategic value of information technologies in the service industry and examines the relationship between information technology (IT) service competence and firm performance. The proposed relationship is further augmented by investigating the mediating role of operation-level dynamic capability particularly for the service setting. Survey data of medium to large-size enterprises in service industries in the United States were used to validate the proposed model. The results indicate that operational reconfigurability as an operation-level dynamic capability is a significant IT-enabled mediating driving force of firm performance in the service setting. This study is an early attempt to examine the strategic value of information technologies to lead to service firms business performance, particularly through the dynamic capability at the operation level.

scholarly journals Comparing and Identifying Influential Factors of Technological Innovation Efficiency in Manufacturing and Service Industries Using DEA: A Study of SMEs in South Korea

2021 ◽  
Vol 13 (23) ◽  
pp. 12945
Author(s):  
Chae Hyun Im ◽  
Keun Tae Cho
Keyword(s):  
South Korea ◽  
Technological Innovation ◽  
Manufacturing Industry ◽  
Service Industry ◽  
Influential Factors ◽  
Service Industries ◽  
Innovation Activity ◽  
Tobit Regression ◽  
Factors Affecting ◽  
Tobit Regression Analysis

Although technological innovation is critical for growth and future survival, small and medium scale enterprises (SMEs) are at a disadvantage compared to larger organizations given the resources available. It is important to examine the possible methods for making research and development more efficient. This study analyzes the technological innovation efficiency of SMEs in the manufacturing and service industries in South Korea and determines the factors affecting efficiency. The models of data envelopment analysis and Tobit regression analysis were used. According to the analysis results, the technical and pure technical efficiencies were higher in the service industry than in the manufacturing industry. The factors affecting efficiency were also different between the two industries. This study is significant because it evaluates the innovation activity efficiency of small and medium manufacturing and service companies in South Korea and provides specific criteria and a rationale to improve the efficiency.

scholarly journals A Bayesian Control Chart for Monitoring Process Variance

2021 ◽  
Vol 11 (6) ◽  
pp. 2729
Author(s):  
Chien-Hua Lin ◽  
Ming-Che Lu ◽  
Su-Fen Yang ◽  
Ming-Yung Lee
Keyword(s):  
Service Quality ◽  
Control Chart ◽  
Manufacturing Industry ◽  
Industrial Revolution ◽  
Service Industry ◽  
Service Process ◽  
Time Varying ◽  
Exponential Process ◽  
Free Process ◽  
Process Variance

Automation in the service industry is emerging as a new wave of industrial revolution. Standardization and consistency of service quality is an important part of the automation process. The quality control methods widely used in the manufacturing industry can provide service quality measurement and service process monitoring. In particular, the control chart as an online monitoring technique can be used to quickly detect whether a service process is out of control. However, the control of the service process is more difficult than that of the manufacturing process because the variability of the service process comes from widespread and complex factors. First of all, the distribution of the service process is usually non-normal or unknown. Moreover, the skewness of the process distribution can be time-varying, even if the process is in control. In this study, a Bayesian procedure is applied to construct a Phase II exponential weighted moving average (EWMA) control chart for monitoring the variance of a distribution-free process. We explore the sampling properties of the new monitoring statistic, which is suitable for monitoring the time-varying process distribution. The average run lengths (ARLs) of the proposed Bayesian EWMA variance chart are calculated, and they show that the chart performs well. The simulation studies for a normal process, exponential process, and the mixed process of normal and exponential distribution prove that our chart can quickly detect any shift of a process variance. Finally, a numerical example of bank service time is used to illustrate the application of the proposed Bayesian EWMA variance chart and confirm the performance of the process control.

New product and emerging business growth in Kwara State

2016 ◽  
Vol 12 (3) ◽  
pp. 207-227 ◽  
Author(s):  
Seun Oladele ◽  
Femi Oladele
Keyword(s):  
Market Share ◽  
Manufacturing Industry ◽  
Service Industry ◽  
New Product ◽  
Sales Volume ◽  
Test Results ◽  
Business Growth ◽  
Content Type ◽  
Product Service ◽  
Service Portfolio

Purpose – The purpose of this paper is to examine the effect of new product on growth of emerging businesses (EBs) through sales volume and market share. Design/methodology/approach – The study surveyed 137 EBs in Kwara State. Two hypotheses were formulated and tested using correlation and regression analyses. Findings – Results show that service industry is dominant among EBs while the manufacturing industry trails. Many EBs are aware of the complexities of new product, its development and contribution to increasing sales volume, market share and ensuring competitive advantage with apparent infrastructural deficiencies. Test results show that there is a significant positive relationship and effect on sales volume and market share. Originality/value – Encouraging EBs to step up and focus on improving product/service portfolio to transform their fortune is explored giving focus to the benefits of increasing sales volume and market share.

The Demographics of Trade-Affected Services and Manufacturing Workers (1987–1990): A Comparative Analysis

1995 ◽  
Vol 23 (4) ◽  
pp. 43-67
Author(s):  
Bartholomew Armah
Keyword(s):  
Manufacturing Industry ◽  
Service Sector ◽  
Manufacturing Sector ◽  
College Education ◽  
Service Industries ◽  
Highly Educated ◽  
Black And White ◽  
Industry Group ◽  
White Males ◽  
Group A

Using input-output data for 1987 and 1990, this study identifies the demographic characteristics of trade-affected workers in U.S. manufacturing and service industries. Trade-affected workers are defined as employees in industries that experienced a change (positive or negative) in net total (direct and indirect) trade-related employment between 1987 and 1990. For the period 1987–1990, three industry categories were examined: (a) industries that experienced an increase in positive net trade-related employment; (b) industries that experienced a decline in positive net trade-related employment; and (c) industries that suffered net trade-related employment losses in both years yet experienced an improvement over the period. The study finds that, while manufacturing industry workers in the most favorably affected industry group (i.e., group “a”) were more likely to be highly skilled (i.e., scientists & engineers), highly educated (i.e., over four years of college education), unionized, married and white males, corresponding service sector workers were predominantly unskilled (laborers), less educated, non-unionized, young (i.e., aged 16–24) and male (black and white). Furthermore, the service sector was associated with greater mean trade-related employment and output gains and lower mean employment and output losses than was the manufacturing sector.

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