The Relationship Study of Industrial Elements Input and Cluster-Benefit: Evidence from Textile Industry

2011 ◽  
Author(s):  
Qiang Xu ◽  
Yuanmiao Lv
Keyword(s):  
Textile Industry ◽  
Relationship Study ◽  
The Relationship

Relationship Study of Absorption Capacity, Degree of Innovation and Innovative Performance in Textile and Garment Enterprises

2012 ◽  
Vol 591-593 ◽  
pp. 2450-2455
Author(s):  
Wei Guo ◽  
Gai Na Sun ◽  
Wen Juan Wang
Keyword(s):  
Regression Analysis ◽  
Absorptive Capacity ◽  
Textile Industry ◽  
Absorption Capacity ◽  
Innovative Performance ◽  
Relationship Model ◽  
Relationship Study ◽  
Suitable Reference ◽  
The Relationship ◽  
Degree Of Innovation

Technology is playing an increasingly important role in the development of the textile industry, and innovation has become the key to win more competitive for the textile and garment enterprises. How to improve the technological innovative performance is very urgent for the textile industry development. According to the relationship model and assumptions between the absorptive capacity, innovational degree and innovational performance, then using factor analysis, dependency analysis, regression analysis to measure, evaluate and comparative analysis the sample of textile and garment industry. Combination of theory and empirical research results, to provide a suitable reference and countermeasures to improve the innovational performance of enterprises effectively.

Work Values and Its Impact on Managerial Effectiveness: A Relationship Study in Indian Context

2016 ◽  
Vol 20 (4) ◽  
pp. 300-311 ◽  
Author(s):  
Geeta Rana ◽  
Renu Rastogi ◽  
Pooja Garg
Keyword(s):  
Regression Analysis ◽  
Work Values ◽  
Deep Understanding ◽  
Global Competition ◽  
Managerial Effectiveness ◽  
Research Attention ◽  
Indian Context ◽  
Relationship Study ◽  
The Impact ◽  
The Relationship

Competent managers are very important assets to any organization as they drive it to success through the challenges of global competition. Managerial effectiveness has gained much research attention in recent years due to its importance to the organization as a whole. The purpose of this study is to test the impact of work values on managerial effectiveness in Indian organizations. To this end, a survey was conducted on a sample of 300 managers working in different organizations in India. The article employs factor analysis, Pearson’s r and step-wise multiple regression analysis to determine the effect of work values on managerial effectiveness. Findings indicate that work values have a positive and significant relationship with managerial effectiveness. The study provides valuable implications for practitioners and researchers by providing a deep understanding of the relationship between work values and managerial effectiveness, and between the dimensions and aspects of the two constructs. Practitioners could use the findings of the study to identify which work values influence managerial effectiveness most and work towards incorporating those values in the organizational culture.

Antecedents of frontline manager handling relationship conflicts

2018 ◽  
Vol 29 (1) ◽  
pp. 2-23 ◽  
Author(s):  
Yasir Tanveer ◽  
Qi Jiayin ◽  
Umair Akram ◽  
Anum Tariq
Keyword(s):  
Leadership Styles ◽  
Textile Industry ◽  
Content Type ◽  
Interpersonal Conflicts ◽  
Relationship Conflicts ◽  
Conflict Handling ◽  
High Degree ◽  
The Relationship ◽  
Frontline Managers ◽  
Practical Implications

Purpose Conflicts are inevitable in organizations and are a significant challenge for frontline managers (FLMs). This study aims to investigate the relationship between the leadership styles of FLMs and relationship conflicts (RLCs), with the indirect intervention of emotion regulation (ER) and five conflict-handling styles (CHSs). Design/methodology/approach Research data were obtained from 243 FLMs in the Pakistan textile industry. SPSS 23 and PROCESS macros software were used to test and verify hypotheses regarding leadership styles, ER, CHSs and RLC. The authors conducted 5,000 bootstrap replications to verify mediation. Findings Leadership styles are significantly associated with RLC. A high degree of ER can negatively moderate RLCs through transformational leadership (TFL) and transactional leadership (TCL) styles and positively moderate RLCs through a laissez-faire leadership (LZF) style. Among CHSs, a compromise style mediates the relationship between RLC and the TFL and LZF styles, and a domination style mediates the relationship between RLC and the TCL style. Practical implications FLMs should be trained to overcome workplace interpersonal conflicts. Appropriate cognizance of a conflict before it occurs is a requisite skill. FLMs must be able to use all five given CHSs. Originality/value This study identifies the association of leadership styles with CHSs and ER to manage RLC in a non-Western context. The study enhances understanding of the use of the ER factor with the different CHSs of FLMs.

Enhancing Textile Industry’s Employee Satisfaction through Market Sensing Capability and Internal Marketing Practice

Bina Teknika ◽  
2021 ◽  
Vol 17 (1) ◽  
pp. 23
Author(s):  
Rizqi Wahyudi ◽  
Muhammad Iqbal ◽  
Sunarti Sunarti
Keyword(s):  
Textile Industry ◽  
Employee Satisfaction ◽  
Structural Equation ◽  
Equation Model ◽  
Internal Marketing ◽  
Quantitative Methodology ◽  
Cultural Congruence ◽  
Marketing Practice ◽  
Web Based ◽  
The Relationship

Recognize the importance of employee satisfaction in any organization, this study is piloted to forestall the effect of Internal Marketing Practice and Market Sensing capability on employees’ satisfaction in the context of the Indonesian textile industry as one of the fast-growing industry criteria in Asian markets. The drive behind this study is to examine the relationship between Internal marketing practice, Market Sensing Capability, and Employee Satisfaction. Furthermore, this study plans to see that how Cultural congruence moderates the relationship between Employee Satisfaction through Internal Marketing Practice along with Market Sensing Capability by advancing a research model. According to this study’s requirement, the quantitative methodology is chosen, with purposive method of 323 employees was selected and analyzed.  By using a web-based survey approach was selected for data, entailing of structured questionnaire. A structural equation model was operated for results on AMOS that supported the hypothetical relationship between all hypotheses. This study will guide the managers of textile firms to recognize that how important is employee satisfaction and how they can improve their practices to strengthen employee satisfaction. This study also contributes in cultural Congruence and market sensing capability literature. It is not free from limitations specifically in terms of sample size and variables that can be addressed in the future.

A dyadic model of investments: Partner effects on commitment

2019 ◽  
Vol 36 (11-12) ◽  
pp. 3471-3491
Author(s):  
Anthony E. Coy ◽  
Jody L. Davis ◽  
Jeffrey D. Green ◽  
Paul E. Etcheverry
Keyword(s):  
Investment Model ◽  
Relationship Dynamics ◽  
Cross Sectional ◽  
Individual Level ◽  
Relationship Study ◽  
Cross Sectional Studies ◽  
The Individual ◽  
The Relationship ◽  
Dyadic Model

A dyadic approach to studying relationship dynamics yields considerably more insights than examining each partner separately. Yet relatively little research has examined dyadic models of commitment, despite commitment being essential to relationship persistence. Accordingly, we tested a dyadic version of the investment model of commitment. In two cross-sectional studies of couples and one experiment, we tested the role of partner investments and perceived partner investments as novel antecedents of commitment. Studies 1 and 2 demonstrated that greater partner investments were related to greater levels of individuals’ commitment, while controlling for individuals’ own satisfaction with, investments in, and alternatives to the relationship. Study 3 revealed that partner-reported investments predicted commitment independent of perceived partner investments. The findings advance the investment model beyond the individual level, emphasizing the need to examine dyadic elements of relationships.

scholarly journals Relationships among Government Funding, R&D Model and Innovation Performance: A Study on the Chinese Textile Industry

2020 ◽  
Vol 12 (2) ◽  
pp. 644
Author(s):  
Zhiying Zhang ◽  
Hua Cheng ◽  
Yabin Yu
Keyword(s):  
Textile Industry ◽  
Industrial Development ◽  
Innovation Policy ◽  
Threshold Effect ◽  
Government Funding ◽  
Innovation Performance ◽  
High Tech ◽  
Promoting Effect ◽  
Pillar Industry ◽  
The Relationship

The textile industry is a traditional pillar industry of the national economy in China. The strategic goal of Chinese innovation is to upgrade and transform traditional industries and make them develop in coordination with high-tech industries, so as to realize sustainable industrial development. At the core of industrial sustainable development, the innovation of the textile industry in China has become an important issue worthy of attention. Based on resource-based theory and signal transfer theory, the relationship between government funding, R&D models and the innovation performance of the Chinese textile industry is studied. The results show that government funding has a significant, direct promoting effect on the internal R&D and science-based cooperation of enterprises. Government funding indirectly promotes market-based cooperation through internal R&D. The promoting effect of internal R&D on innovation performance is greater than that of cooperative R&D. Internal R&D and cooperative R&D have more promoting effects on R&D reserve performance than those on market performance. Government funding indirectly promotes innovation performance through the mediation of internal R&D and science-based cooperation. The threshold effect of cooperative R&D indicates that only when the cooperative R&D intensity exceeds the threshold can government funding foster innovation performance more effectively. The conclusions can provide theoretical guidance for the formulation of innovation policy.

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