Journal ArticleDOI
Fostering Corporate Entrepreneurship with the use of social media tools
TLDR
In this article, the authors examined how social media use impacts the different dimensions of Corporate Entrepreneurship and found that the use of social media tools impacted all dimensions of corporate entrepreneurship and enhanced firm performance.About:
This article is published in Journal of Business Research.The article was published on 2020-05-01. It has received 29 citations till now. The article focuses on the topics: Entrepreneurship & Entrepreneurial orientation.read more
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Social Media Usage
Girish Mude,Swapnil Undale +1 more
TL;DR: In this paper , the authors investigated the usage of social media features such as socialization, information, entertainment, education, and shopping among Gen Y and Gen Z and found that Gen Z use social media more than Gen Y for education, entertainment and shopping whereas social media usage of both the generations for information seeking are equal.
Journal ArticleDOI
Influence of Self-Perceived Creativity and Social Media Use in Predicting E-Entrepreneurial Intention
TL;DR: In this article , the authors examined the direct effect of self-perceived creativity on e-entrepreneurship intention and the moderating effect of social media use on the relationship between self perceived creativity and eentrepreneurial intention.
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Study of Social media impacts on social capital and employee performance – evidence from Tunisia Telecom
Hanen Louati,Slim Hadoussa +1 more
TL;DR: Results reveal that social media use in the workplace positively influence social capital, which impact knowledge sharing among employees that leads to better work performance.
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Social Media Data and Users' Preferences: A Statistical Analysis to Support Marketing Communication
TL;DR: Through a factorial analysis, this work uncovered significant associations between marketing communication Media and users' profiles that allow sketching out a marketing strategy in twofold actions: first, identifying the target group to reach and, then, the nearest suitable channel where to develop the marketing communication.
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Shared prosperity, energy-saving, and emission-reduction: Can ICT capital achieve a "win-win-win" situation?
Qiong Xu,Meirui Zhong +1 more
TL;DR: In this paper , the authors analyzed the impact of income inequality on energy consumption and carbon emissions from both theoretical and empirical perspectives, focusing on the impact mechanism, moderating effect, and threshold effect of ICT capital on the relationship between income inequality and energy consumption.
References
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Journal ArticleDOI
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Claes Fornell,David F. Larcker +1 more
TL;DR: In this paper, the statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined, and a drawback of the commonly applied chi square test, in additit...
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Common method biases in behavioral research: a critical review of the literature and recommended remedies.
TL;DR: The extent to which method biases influence behavioral research results is examined, potential sources of method biases are identified, the cognitive processes through which method bias influence responses to measures are discussed, the many different procedural and statistical techniques that can be used to control method biases is evaluated, and recommendations for how to select appropriate procedural and Statistical remedies are provided.
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Multivariate Data Analysis
TL;DR: In this paper, a six-step framework for organizing and discussing multivariate data analysis techniques with flowcharts for each is presented, focusing on the use of each technique, rather than its mathematical derivation.
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Structural equation modeling in practice: a review and recommended two-step approach
TL;DR: In this paper, the authors provide guidance for substantive researchers on the use of structural equation modeling in practice for theory testing and development, and present a comprehensive, two-step modeling approach that employs a series of nested models and sequential chi-square difference tests.
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Multivariate data analysis
TL;DR: This chapter discusses Structural Equation Modeling: An Introduction, and SEM: Confirmatory Factor Analysis, and Testing A Structural Model, which shows how the model can be modified for different data types.