The purpose of this study was to investigate the mediating role of total quality management (TQM) between entrepreneurial orientation (EO) and SME export performance in the manufacturing sector of Pakistan. This study was originated from the fact that only a few studies have examined on how the firm's intangible resources and capabilities such as EO and TQM drive SMEs' export performance. Some questionnaires in Likert scale were used to collect the data and 364 usable responses were received from the owner/managers of exporting SMEs. Partial Least Squares Structural Equation Modeling (PLS-SEM) was used for the data analysis. The findings reveal significant relationship between EO and TQM with SME export performance. Furthermore, this study found the complementary mediating role of TQM between EO and SME export performance of manufacturing sector of Pakistan. This study has implications for owner/managers of SMEs. The results offer a better understanding regarding EO and TQM implementation to SMEs owner / managers. Thus, owner/managers of SMEs can take better decisions for the implementation of TQM practices. Furthermore, to the best of researcher's knowledge, this study is the first work, which examines Pakistan`s SMEs export performance in association with the TQM as the mediating factor between EO and SME export performance.
The automobile industry has significantly contributed towards China’s economy. After producing approximately 24.5 million vehicles in 2015, China’s automobile industry has achieved its greatest height by emerging worldwide as the top automobile producer. However, China’s automobile industry could not sustain this achievement and it witnessed a sudden growth rate decrease in 2016–2017, reflecting their poor export performance. To address this problem, the prime objective of this research is to explore the roles of total quality management (TQM), entrepreneurial orientation (EO), export market orientation (EMO), brand orientation (BO) and cleaner production (CP) in firm export performance (FEP). For this reason, a quantitative research approach with cross-sectional research design was adopted by gathering the data from 347 respondents working as export managers at Chinese automobile companies via simple random technique. Partial least square structural equation modeling (PLS-SEM) through software smartPLS-3.2.7 employed to analyze data. Results revealed that the TQM, EO, EMO, BO, and CP has a significant association with FEP. Additionally, findings confirmed CP as a moderating variable that contributes positively to FEP. The research has eminently contributed to the export performance of the automobile industry, specifically in China. It is very beneficial to practitioners in the Chinese automobile industry as it will assist them in regaining and exceeding their record export performance while also contributes to resource-based-view theory.
Purpose
The purpose of this paper is to investigate the effect of human-computer interaction (HCI) on customers’ perceived electronic service (e-service) value and the mediating role of task-technology fit (TTF) in that effect.
Design/methodology/approach
This paper develops a model based on service-dominant logic (SDL) and TTF theory, and validates it using a hierarchical regression with the data collected from 634 online banking customers in Guangdong Province and Guangxi Zhuang Autonomous Region in China.
Findings
The findings reveal that HCI in e-service contexts comprises five components. Three fundamental components (i.e. technology functionality, customer technology readiness and task routine) contribute to value co-creation. Two core components (i.e. interaction between customer technology readiness and technology functionality, and interaction between task routine and technology functionality) are inhibitors, but the inhibitory effect of the former is only significant in the Guangdong sample. TTF takes a mediating role in these relationships, but the mediating effect of the former core component is only significant in the Guangdong sample.
Originality/value
This paper explains two basic questions about the trigger points of value co-creation in e-service contexts (i.e. what their operational definitions are and how to measure them) and unlocks the “black box” of value co-creation by taking TTF as a mediator. SDL and TTF theory are extended. The paper provides suggestions for how practitioners can efficiently advance value co-creation with customers.
Abstract:Purpose: To examine how network competence, knowledge sharing and relationship quality affect service innovation performance Design/methodology/approach: Empirical research. Originality/value: This study has enriched current understanding of the relationship among network competence, knowledge sharing, relationship quality and service innovation performance.
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