scholarly journals Will Internet Market Newness Improve Performance? An Empirical Study on the Internet Market Innovation of Offline Retailers in China

2021 ◽  
Vol 13 (22) ◽  
pp. 12619
Author(s):  
Cheng Lu ◽  
Tongyu Gu ◽  
Jie Chen ◽  
Zunli Liu
Keyword(s):  
Data Analysis ◽  
Empirical Study ◽  
Innovation Performance ◽  
Mediation Effect ◽  
The Internet ◽  
Direct Effects ◽  
Marketing Capability ◽  
Improve Performance ◽  
Internet Market

With the increasing impact of the Internet, the transformation of traditional retailers through Internet innovation has become a pressing issue. Based on the theory of innovation and marketing capability, this study investigated the relationships among adaptive marketing capability (AMC), Internet market newness, and innovation performance. The mediation effect of compromise on these relationships was also investigated. Through data analysis of 205 questionnaires in China, the current study confirmed that interaction between AMC and Internet market newness significantly affected innovation performance, and Internet market newness positively affected performance only when AMC was high. The results also demonstrated that compromise mediated the interaction with performance. AMC moderated not only the direct effects on performance by Internet market newness, but the effects on compromise by Internet market newness.

scholarly journals Accelerating Green Innovation Performance from the Relations of Network Potential, Absorptive Capacity, and Environmental Turbulence

2021 ◽  
Vol 13 (14) ◽  
pp. 7765
Author(s):  
Shuizheng Song ◽  
Md Altab Hossin ◽  
Xiaohua Yin ◽  
Md Sajjad Hosain
Keyword(s):  
Sustainable Development ◽  
Absorptive Capacity ◽  
Bootstrap Method ◽  
Manufacturing Firms ◽  
Innovation Performance ◽  
Mediation Effect ◽  
Environmental Turbulence ◽  
High Tech ◽  
Green Innovation ◽  
The Relationship

The demand for sustainable development and the advantages of industries are expediting over time with the triggering of green innovation performance (GIP). Improving a firm’s GIP, especially in manufacturing industries, can accelerate green development and mitigate the global-concerned environmental issues. Thus, to investigate GIP from its antecedent factors, we delineate the relationship between network potential, absorptive capacity, environmental turbulence, and GIP based on social network theory, organizational learning theory, and contingency theory. We tested our hypotheses based on 233 sets of questionnaire surveys from high-tech manufacturing firms in China through deploying the hierarchical regression and bootstrap method. Our empirical findings reveal that the network potential dimensions, including network position centrality (NPC), network structure richness (NSR), and network relationship closeness (NRC), significantly positively impacted the GIP. The absorptive capacity (AC) partially mediated the relationship between the network potential dimensions and GIP. Environmental turbulence (ET) as an essential mechanism not only positively moderated the relationship between AC and GIP but also enhanced the AC mediation effect. These findings indicate that manufacturing firms should continue to improve network potential and AC and respond rapidly to changes in the external environment to enhance GIP, consequently contributing to the sustainable development of the economy.

scholarly journals Effects of Emerging-Economy Firms’ Knowledge Acquisition from an Advanced International Joint Venture Partner on Their Financial Performance Based on the Open Innovation Perspective

2021 ◽  
Vol 7 (1) ◽  
pp. 67
Author(s):  
Choo Yeon Kim ◽  
Eun-Hwa Seo ◽  
Canisha Booranabanyat ◽  
Kwangsoo Kim
Keyword(s):  
Financial Performance ◽  
Knowledge Acquisition ◽  
Absorptive Capacity ◽  
Open Innovation ◽  
Joint Venture ◽  
Emerging Economy ◽  
Innovation Performance ◽  
Mediation Effect ◽  
International Joint Venture ◽  
International Joint

Although emerging-economy firms (E-E firms) must have a keen interest in improving their performance by utilizing knowledge transferred from their advanced international joint venture (IJV) partner, there has been little research on the performance implications of E-E firms’ knowledge transferred from their advanced IJV partner. So, drawing on open innovation and organizational learning perspectives, we examine whether, how, and when E-E firms’ knowledge acquisition from their IJV partner has a positive impact on their financial performance. Based on data collected from 127 Thai manufacturing firms with a local IJV partnered with an advanced overseas firm, our results reveal that E-E firms’ knowledge acquisition from their IJV partner has an overall positive influence on their financial performance in terms of growth and profitability. Our results further show that innovation performance mediates the relationship between E-E firms’ knowledge acquisition and their financial performance based on a moderated mediation analysis including innovation performance as a mediator and absorptive capacity as a moderator. It is also found that the positive mediation effect of innovation performance is more pronounced in the presence of higher absorptive capacity than otherwise. That is, our results show that even among E-E firms which have acquired much knowledge from their IJV partner, those with higher absorptive capacity achieve better innovation performance than those with lower absorptive capacity, and improved innovation performance subsequently contributes to producing superior financial performance. The key conclusions, implications, and limitations of our study are presented based on these findings.

Intra-Sentential Code-Switching among Bilingual Saudis on Twitter

2018 ◽  
Vol 10 (2) ◽  
pp. 1
Author(s):  
Hussein Ali Habtoor ◽  
Ghzail Faleh Almutlagah
Keyword(s):  
Data Analysis ◽  
Language Contact ◽  
Qualitative Method ◽  
Code Switching ◽  
Social Aspects ◽  
The Internet ◽  
Common Phenomenon

Code switching (CS) is a common phenomenon in language contact situations wherein bilinguals utilize two languages in the same context. This study investigated the occurrence of intra-sentential code switching by 12 bilingual Saudi females on twitter who differed in age and education. The data were collected by taking screenshot for 1260 tweets. Data were analysed statistically to show the phenomena of Arabic- English code switching. Moreover, a qualitative method was used for data analysis. Findings of the study showed that code-switching was observed clearly on twitter and that intra-sentential code-switching occurs frequently. It was also observed that at the level of particular syntactic categories in Arabic-English CS, nouns were the most often switched elements in the corpus. This study focused on nouns and verbs as examples of these syntactic categories of CS. English as inserted language was mostly used by participant, so the study focused on Arabic sentences in which English is the embedded language. Finally, it is found that the most inserted words in English were related to the internet and other social aspects. 

Design of Survey Analysis System Based on Data Visualization

2011 ◽  
Vol 403-408 ◽  
pp. 1491-1494
Author(s):  
Wei Yu
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Social Science ◽  
Data Visualization ◽  
The Internet ◽  
Survey Analysis ◽  
Science Study ◽  
Social Science Study ◽  
Analysis System ◽  
Three Phases

Questionnaire Survey is one of the most popular methods in Social Science study, the process of which consists of three phases: data collection, analysis and representation. At present, the practical operations of the three phases are still backward, and the methods used in data analysis and statistic are still simple. This paper designed a Survey Analysis System based on data visualization, which can not only realize survey on the internet, but also brought data visualization into the phases of data analysis and representation, so as to help users to obtain and operate data visually and handily.

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