Search results

1 – 10 of over 75000
To view the access options for this content please click here
Article

Yiching Lin

This study aims to investigate the relationship between project management competency, job motivation and performance in people engaged in electronic commerce…

Abstract

Purpose

This study aims to investigate the relationship between project management competency, job motivation and performance in people engaged in electronic commerce (e-commerce). A questionnaire was developed for e-commerce workers in various professional aspects including business strategy planning, content management and design, sales services, marketing business sales, host settings, analysis and management. A total of 299 valid questionnaires were retrieved. Multiple regression analysis was applied to the testing and analysis on important competences for project management and the factors influencing job performance.

Design/methodology/approach

In this study, the related indexes are measured mainly through appropriate questionnaire design and the questionnaires were mainly distributed among employees and managers of the e-commerce enterprises. Tables 5–1 provide the personal profiles of the e-commerce personnel. A total of 350 questionnaires were distributed and 320 questionnaires were returned. After the 320 questionnaires were sorted and categorized, 21 incompletely-filled and invalid questionnaires were excluded, for a total of 299 valid questionnaires that were returned. Based on the quantitative data obtained from the returned valid questionnaires, files were created and statistical analyzes were conducted by the computerized statistical software statistical product and service solutions 21. According to the research question and nature of this study, the present study mainly adopted statistical methods, including descriptive statistical analysis, reliability analysis, Pearson’s correlation analysis and regression analysis.

Findings

The results suggested that the project management competency of those engaged in e-commerce had a positive influence on their work performance. The capabilities in the management of integration, scope and procurement were significantly important factors identified in this study. In addition, the internal and external motivations of those engaged in e-commerce had a positive influence on work performance, and thus, facilitated their influence on the project management competency. The results and statistical analysis could be a reference in e-commerce-related business management and serve as the basis for evaluation of the training of project management competencies for those engaged in e-commerce and further improvements of human capitals and corporate competitive advantages.

Originality/value

This study used literature on project management competence and job performance as a foundation; previous studies argue that project management competence has a positive correlation with job performance. Empirical results reveal that among the e-commerce personnel, most dimensions of project management competence are significantly correlated with job performance. This study reveals that stakeholder management competence, the newly introduced 10th dimension of project management competence, is also significantly correlated with job performance. Therefore, study results reveal that project management competence has a significant positive correlation with job performance. In this study, the two constructs of internal motivation and external motivation in job motivation are introduced for use as disturbing factors. Empirical results reveal that internal motivation and external motivation have a significant positive disturbing effect with respect to the influence of cost management competence and human resource management competence on job performance. Hackman and Oldham (1975) contend that the jobs calling for a variety of skills can boost the job motivation of employees. Study results reveal that job motivation is of great importance to the influence of project management competence on job performance and can be used as the basis for improving job performance.

Details

Measuring Business Excellence, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1368-3047

Keywords

To view the access options for this content please click here
Article

Sheng Xu, Qingde Yue and Binbin Lu

The implementation of the innovation-driven development strategy is of practical significance for improving the quality and efficiency of economic growth and accelerating…

Abstract

Purpose

The implementation of the innovation-driven development strategy is of practical significance for improving the quality and efficiency of economic growth and accelerating the transformation of economic development mode. The purpose of this paper is to study the impact of innovation-driven strategies on marine industry agglomeration and industrial transformation.

Design/methodology/approach

In traditional grey correlation analysis, when the positive and negative areas cancel each other out during the integration process, the calculation result of the correlation degree is often inconsistent with the qualitative analysis. For this reason, from the perspective of curve similarity, this paper constructs two response curves through the relative change area of the two curves and the relative area change ratio of similar degree, thus constructing an improved grey relational model.

Findings

The authors find that the innovation investment has a better correlation with marine industrial agglomeration. It also found that Guangdong Province has the highest degree of correlation between innovation indicators and marine industrial agglomeration. Much beyond the authors’ expectation, in the areas where marine industrial agglomeration is high, the synergistic effect is not obvious by using the location entropy method.

Originality/value

The improved grey correlation analysis method can effectively overcome the phenomenon that the positive and negative areas cancel each other in the integration process of the original algorithm, and it can also effectively measure the negative correlation between variables. This paper explores the impact of innovation drive on the agglomeration of marine industries, which is of great significance to the sustainable development of marine economy.

Details

Grey Systems: Theory and Application, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2043-9377

Keywords

To view the access options for this content please click here
Article

Xucheng Huang and Jie Sun

The purpose of this paper is to empirically analyze the “market-neutral” characteristics of the market-neutral strategy hedge funds in Chinese A-share market.

Abstract

Purpose

The purpose of this paper is to empirically analyze the “market-neutral” characteristics of the market-neutral strategy hedge funds in Chinese A-share market.

Design/methodology/approach

The analyses in the paper are conducted to study the market-neutral characteristics by means of index analysis, correlation analysis, β-neutral analysis and the three-factor model analysis.

Findings

The results show that the performance advantage of the market-neutral strategy hedge funds is obvious. Most market-neutral strategy funds are exposed to market risks and the α strategy funds also have obvious style factor exposure; strictly speaking, all of the market-neutral strategies have not reached the “market-neutral” requirements. This paper also finds that Chinese trading restrictions on stock index futures in September 2015 have a significant impact on Chinese market-neutral strategy hedge funds.

Originality/value

The conclusion of this paper has a certain reference value for understanding the risk characteristics and possible problems of hedge funds in emerging markets, and also has important reference value for investors.

Details

China Finance Review International, vol. 8 no. 1
Type: Research Article
ISSN: 2044-1398

Keywords

To view the access options for this content please click here
Article

Chunjuan Luan and Xiuping Wang

The purpose of this paper is to help China's science and technology (abbr. as S&T) managers and related policy makers to allocate S&T human resources, optimize…

Abstract

Purpose

The purpose of this paper is to help China's science and technology (abbr. as S&T) managers and related policy makers to allocate S&T human resources, optimize organizational systems of laboratories, design and plan some grant projects, and manage other S&T‐related work in the field of nanoscience and nanotechnology, by measuring and mapping of technology‐fields correlation, with nanotechnology as an example.

Design/methodology/approach

Methodologies such as co‐occurrence analysis, correlation analysis, multidimensional scaling (abbr. as MDS) analysis, dendrogram (tree‐like) analysis, etc. are employed to measure and map technology‐fields correlation.

Findings

It is found that the exact relevance degree of any two technology‐fields exists among the top 33 technology‐fields with high frequencies. There are three industrial clusters in Multidimentional Scaling View, that is, nanotechnology used in bio‐medical industry, nanotechnology used in new material industry and nanotechnology used in electronic industry. Hierarchy of any two technology‐fields can be found out in the dendrogram view of the top 33 technology‐fields.

Originality/value

This paper could be of great significance to China's S&T managers and related policy makers, especially in the area of nanotechnology, in selecting and managing generic technology and the findings in this paper can be applied in some other fields of science and technology management in China. Both technology‐fields correlation analysis and MDS and dendrogram view analysis could benefit China's policy makers in managing nanotechnology research and development activities.

To view the access options for this content please click here
Article

Sanjay Sharma and Sanjaysingh Vijaysingh Patil

The purpose of this paper is to establish correlations among the input variables of production within themselves and input variables of consumption within themselves and…

Abstract

Purpose

The purpose of this paper is to establish correlations among the input variables of production within themselves and input variables of consumption within themselves and to forecast the production and consumption of the rice.

Design/methodology/approach

The production and consumption of rice crop is governed by diverse variables. In the present study five key input variables for production of rice based on literature review and the authenticated data available from agricultural sources have been selected. These variables are area sown, agricultural workers (AW), area irrigated, growth rate and yield per hectare. On similar basis four key input variables responsible for consumption of rice are considered, namely, price of rice, population, poverty ratio and per capita net national product (NNP).

Findings

Correlation analysis showed that priority wise production of rice depends upon yield per hectare, percentage irrigation, AW and area sown. The growth rate is found to be having insignificant correlation with other variables of production and hence was omitted from subsequent study. Correlation analysis also showed that priority wise consumption depends upon whole sale price per ton, population and the per capita NNP. The poverty ratio is found to be having insignificant correlation with other variables of consumption and hence was omitted from subsequent study. The outcomes of the correlation analysis are utilized for designing rule base for fuzzy inference system (FIS) to forecast the production and consumption of the rice. Subsequently Bayesian technique is used to forecast production and consumption and its results are compared with the results of fuzzy inference analysis.

Originality/value

There are many techniques used for forecasting purpose but FIS and Bayesian technique outperform others. In the present study, the authors therefore focussed on these two techniques. Bayesian technique takes into account the expert opinion at the current conditions whereas FIS uses previously designed rule base. Besides discussing the appropriateness of these two techniques for forecasting production and consumption of rice, their forecasting outcomes will help in logistical and operational planning of the resources at national level, farmers’ level and traders’ level.

Details

International Journal of Productivity and Performance Management, vol. 64 no. 8
Type: Research Article
ISSN: 1741-0401

Keywords

To view the access options for this content please click here
Article

Petri Kärki, A.H.M. Shamsuzzoha and Petri T. Helo

The purpose of this paper is to examine the relationship between customer order lead time (COLT) and the price sensitivity of an electrical equipment manufacturer company…

Abstract

Purpose

The purpose of this paper is to examine the relationship between customer order lead time (COLT) and the price sensitivity of an electrical equipment manufacturer company. In consequence, it examines two research questions in terms of COLT, price and profitability level and to ensure the validity and practical justification of these research questions.

Design/methodology/approach

In this research the authors have used a case study approach where three business measures, namely COLT, price and the profitability level of a case company were investigated and analyzed critically. These measures were implemented through four different customer segments with two production lines of the case company. Data were collected from the company's order delivery database from the period 2006 to 2008. In addition, different experimental data were collected through interviewing and reviewing the results of the data analysis with the unit managers.

Findings

In this paper the authors have observed the correlation between the price, profit and COLT with all four customer segments in both the production lines of the case company. From the case data, the authors concluded that the customer did not pay more when the COLT is shorter than with the average time. It is also noticeable that the profit margin is higher for the case company to handle COLT with shorter lead time than the average order delivery lead time.

Research limitations/implications

More case examples might be helpful to motivate the managers to accept the research outcomes.

Practical implications

The concept of the company's COLT in relation to the price and profitability level supports organizational managers in their decision‐making process in terms of productivity level and the company's growth. It will motivate the managers to make tradeoffs among various developmental measures.

Originality/value

This paper implemented a unique approach for measuring the significant level of price and profitability level over COLT. From the outcomes of this study, it is observed that the price correlated positively with the COLT and has a direct and significant impact on it. When the price is increased the COLT is also increased. It is also noticed that the products of the case company which offered shorter lead times were on average also more profitable, even though there were no significant differences in average pricing between the customer segments.

Details

Business Process Management Journal, vol. 18 no. 5
Type: Research Article
ISSN: 1463-7154

Keywords

To view the access options for this content please click here
Article

Yaoqi Guo, Jianbo Huang and Hui Cheng

Recently, many scholars have been paying more attention to studying the existence and application of multifractality. However, most researches concentrate on studying…

Abstract

Purpose

Recently, many scholars have been paying more attention to studying the existence and application of multifractality. However, most researches concentrate on studying multifractal features of returns or volume separately, and ignore the correlation between them. The purpose of this paper, therefore, is to give an empirical test on multifractal features of price‐volume correlation in China metal futures market and then to conduct a comparative analysis from time and space dimensions, in order to better understand metals futures market behavior.

Design/methodology/approach

This paper gives an empirical test by means of multifractal detrended cross‐correlation analysis (MF‐DCCA) approach, which is a technique employed in statistical physics to detect multifractal features of two cross‐correlated nonstationary time series.

Findings

Empirical results show that the price‐volume correlation in China metal futures market is multifractal and that long range correlation and non‐Gaussian probability distribution are the main reasons for the existence of multifractality. Also, a comparative analysis is conducted and it is found that although China metal futures market is becoming more and more effective, the effectiveness is lower than that in mature LME metal futures markets. The futures market still needs further development.

Originality/value

The paper's conclusions would help to understand the nonlinear dependency relationship and potential dynamics mechanism in price‐volume correlation.

To view the access options for this content please click here
Article

Li‐Wei Mai and Mitchell R. Ness

Analyses customer satisfaction with mail‐order speciality foods in the UK and examines the relationship between satisfaction with eight attributes of mail‐order speciality…

Abstract

Analyses customer satisfaction with mail‐order speciality foods in the UK and examines the relationship between satisfaction with eight attributes of mail‐order speciality food and their association with overall satisfaction and likelihood of future purchase. Univariate analysis reveals that a high proportion of mail‐order customers experience satisfaction with each of the eight mail‐order attributes, reflected in a high proportion of customers who are satisfied overall and who intend to repurchase the products in the future. Canonical correlation analysis reveals a statistically significant relationship between one set of variables, overall satisfaction and likelihood of future purchase, and another set of variables, the eight mail‐order attributes. Consequently the results indicate that customer satisfaction is associated with service aspects of mail‐order such as the order process and delivery service as well as physical product attributes such as product quality.

Details

British Food Journal, vol. 101 no. 11
Type: Research Article
ISSN: 0007-070X

Keywords

To view the access options for this content please click here
Article

Maryam Doroodi and Alireza Mokhtar

The purpose of this paper is to predict the amount of energy consumption by using a suitable statistical method in some sectors and energy carriers, which has shown a…

Abstract

Purpose

The purpose of this paper is to predict the amount of energy consumption by using a suitable statistical method in some sectors and energy carriers, which has shown a significant correlation with greenhouse gas emissions.

Design/methodology/approach

After studying the correlation between energy consumption rates in different sectors of energy consumption and some energy carriers with greenhouse gas distribution (CO2, SO2, NOX and SPM), the most effective factors on pollution emission will be first identified and then predicted for the next 20 years (2015 to 2004). Furthermore, to determine the appropriate method for forecasting, two approaches titled “trend analysis” and “double exponential smoothing” will be applied on data, collected from 1967 to 2014, and their capabilities in anticipating will be compared to each other contributing MSD, MAD, MAPE indices and also the actual and projected time series comparison. After predicting the energy consumption in the sectors and energy carriers, the growth rate of consumption in the next 20 years is also calculated.

Findings

Correlation study shows that four energy sectors (industry sector, agriculture, transportation and household-general-commercial) and two energy carriers (electricity and natural gas) have shown remarkable correlation with greenhouse gas emissions. To predict the energy consumption in mentioned sectors and carriers, it is proven that double exponential smoothing method is more capable in predicting. The study shows that among the demand sectors, the industry will account for the highest consumption rate. Electricity will experience the highest rate among the energy careers. In fact, producing this amount of electricity causes emissions of greenhouse gases.

Research limitations/implications

Access to the data and categorized data was one of the main limitations.

Practical implications

By identifying the sectors and energy carriers that have the highest consumption growth rate in the next 20 years, it can be said that greenhouse gas emissions, which show remarkable correlation with these sectors and carriers, will also increase dramatically. So, their stricter control seems to be necessary. On the other hand, to control a particular greenhouse gas, it is possible to focus on the amount of energy consumed in the sectors and carriers that have a significant correlation with this pollutant. These results will lead to more targeted policies to reduce greenhouse gas emissions.

Social implications

The tendency of communities toward industrialization along with population growth will doubtlessly lead to more consumption of fossil fuels. An immediate aftermath of burning fuels is greenhouse gas emission resulting in destructive effects on the environment and ecosystems. Identifying the factors affecting the pollutants resulted from consumption of fossil fuels is significant in controlling the emissions.

Originality/value

Such analyses help policymakers make more informed and targeted decisions to reduce greenhouse gas emissions and make safer and more appropriate policies and investment.

Details

International Journal of Energy Sector Management, vol. 13 no. 3
Type: Research Article
ISSN: 1750-6220

Keywords

To view the access options for this content please click here
Article

Yong Luo, Jie Xiong, Lie Gang Dong and Yong Tang

– The purpose of this paper is to investigate the statistical correlation properties of the Shanghai Interbank Offered Rate (SHIBOR) interbank lending market.

Abstract

Purpose

The purpose of this paper is to investigate the statistical correlation properties of the Shanghai Interbank Offered Rate (SHIBOR) interbank lending market.

Design/methodology/approach

The authors apply methods of correlation analysis, random matrix theory (RMT) and minimum spanning tree (MST) to investigate the correlation properties of Chinese interbank lending market and analyze how the SHIBOR panel banks behave in different market periods.

Findings

First, the largest eigenvalue λ 1 is the index to describe the market mode of the whole market when all banks behavior collectively and λ 1/N is a good estimator of the average correlation <C> of the correlation matrix. Second, notably, the authors find the “market mode” is weakened in two crises periods of 2008 stock market crash and 2009 Global Financial Crisis. This is significantly different from other market where the “market mode” is normally strengthened in crises periods. Third, the authors subtract the contribution of λ 1, the second and third eigenvalue, λ 2 and λ 3, will fall outside of the predicted interval. And both λ 2 and λ 3 are getting times larger in the crises periods than in “Non-Crisis” period. Fourth, and in the MST analysis, the authors find again that the average distances of the MST are the times larger in crises periods than in “Non-Crisis” period and the second largest eigenvalue is a good estimator of the average distance of the MST.

Originality/value

According to the best knowledge, this paper is the first work on the study of the statistical properties of an interbank lending market using quotation level data of panel banks, which allows us to analyze the properties of the interest rate formation and how all panel banks behavior in different periods. This work is also the first study on the SHIBOR market using econophysics methods of correlation analysis, RMT and MST.

Details

China Finance Review International, vol. 5 no. 2
Type: Research Article
ISSN: 2044-1398

Keywords

1 – 10 of over 75000