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Journal ArticleDOI

Social Media Usage in E-Government: Mediating Role of Government Participation

TL;DR: This study establishes that e-participation initiative by government acts as a mediator in the relation between social media usage by citizen as well as power distance to e-government development.
Abstract: When citizens are actively engaged in e-government processes as co-creators it leads to e-government development. Citizen participation in e-government is a recent phenomenon where government is seeking more involvement of citizens through different platforms. Whether citizens' participation through social media platforms leads to e-government development has been a debate in literature. In this research study, the authors investigate whether social media usage influences government's role in e-government development. Power distance between government and citizen also plays a role in deciding the extent of e-participation in e-government. In this study, the authors examine the relationship between social media, power distance, citizen engagement and e-government development. Using customer focus theory and agency theory, this study establishes that e-participation initiative by government acts as a mediator in the relation between social media usage by citizen as well as power distance to e-government development.
Citations
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Journal ArticleDOI
TL;DR: A mechanism for measuring the influencer index across popular social media platforms including Facebook, Twitter, and Instagram is proposed and findings indicate that engagement, outreach, sentiment, and growth play a key role in determining the influencers.

274 citations

Journal ArticleDOI
TL;DR: Through a field survey conducted after the 2015 Tianjin explosions in China, this study demonstrates that emotional support, external political efficacy, rumor control, civic skills, and mobilization are significant antecedents of commenting and sharing, whereas perceived reciprocity only matters for sharing.

57 citations

Journal ArticleDOI
TL;DR: In this article, the authors developed and tested a theoretical model to establish the effect of several factors with survey data collected during the COVID-19 pandemic, in Saudi Arabia, in order to determine how people participate and how their involvement can be promoted on social media sites.

41 citations

Journal ArticleDOI
TL;DR: In the public sector, collaborative innovation has been increasingly adopted by the public service to address complex issues and improve its efficiency as mentioned in this paper. But despite the developments in the literature on this subject, recent...
Abstract: Collaborative innovation has been increasingly adopted by the public sector to address complex issues and improve its efficiency. Despite the developments in the literature on this subject, recent ...

24 citations

Journal ArticleDOI
TL;DR: The findings indicate that most political leaders are primarily discussing the sustainable development goals (SDGs) “partnership for goals” and “peace, justice and strong institutions” are not being focused on.
Abstract: The importance and criticality of sustainable development goals is witnessed by 195 member countries. For its full-fledged adoption and implementation, it needs to be understood by masses and political leaders are critical agents those engage diverse communities through social media such as twitter. Therefore, in this study focuses on how political leaders can influence the sustainable development goals through Twitter.,This study examines the social media conversations of political leaders on Twitter. Social media analytics methods such as sentiment mining, topic modelling and content analysis-based methods have been used.,The findings indicate that most political leaders are primarily discussing the sustainable development goals (SDGs) “partnership for goals” and “peace, justice and strong institutions”. Many other goals such as “clean water and sanitation”, “life below water”, “zero hunger”, “no poverty” and “educational quality” are not being focused on.,This study offers implications in terms of collective decision making and the role of policy makers towards the goals of promoting SDGs. The authors highlight how political leaders need to involve key stakeholders in this journey.,This study scores and provides a cohort-specific prioritization of the leadership within these countries with regard to SDGs, which could be beneficial to the society.

20 citations

References
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Journal ArticleDOI
TL;DR: This article seeks to make theorists and researchers aware of the importance of not using the terms moderator and mediator interchangeably by carefully elaborating the many ways in which moderators and mediators differ, and delineates the conceptual and strategic implications of making use of such distinctions with regard to a wide range of phenomena.
Abstract: In this article, we attempt to distinguish between the properties of moderator and mediator variables at a number of levels. First, we seek to make theorists and researchers aware of the importance of not using the terms moderator and mediator interchangeably by carefully elaborating, both conceptually and strategically, the many ways in which moderators and mediators differ. We then go beyond this largely pedagogical function and delineate the conceptual and strategic implications of making use of such distinctions with regard to a wide range of phenomena, including control and stress, attitudes, and personality traits. We also provide a specific compendium of analytic procedures appropriate for making the most effective use of the moderator and mediator distinction, both separately and in terms of a broader causal system that includes both moderators and mediators.

80,095 citations

Book
06 May 2013
TL;DR: In this paper, the authors present a discussion of whether, if, how, and when a moderate mediator can be used to moderate another variable's effect in a conditional process analysis.
Abstract: I. FUNDAMENTAL CONCEPTS 1. Introduction 1.1. A Scientist in Training 1.2. Questions of Whether, If, How, and When 1.3. Conditional Process Analysis 1.4. Correlation, Causality, and Statistical Modeling 1.5. Statistical Software 1.6. Overview of this Book 1.7. Chapter Summary 2. Simple Linear Regression 2.1. Correlation and Prediction 2.2. The Simple Linear Regression Equation 2.3. Statistical Inference 2.4. Assumptions for Interpretation and Statistical Inference 2.5. Chapter Summary 3. Multiple Linear Regression 3.1. The Multiple Linear Regression Equation 3.2. Partial Association and Statistical Control 3.3. Statistical Inference in Multiple Regression 3.4. Statistical and Conceptual Diagrams 3.5. Chapter Summary II. MEDIATION ANALYSIS 4. The Simple Mediation Model 4.1. The Simple Mediation Model 4.2. Estimation of the Direct, Indirect, and Total Effects of X 4.3. Example with Dichotomous X: The Influence of Presumed Media Influence 4.4. Statistical Inference 4.5. An Example with Continuous X: Economic Stress among Small Business Owners 4.6. Chapter Summary 5. Multiple Mediator Models 5.1. The Parallel Multiple Mediator Model 5.2. Example Using the Presumed Media Influence Study 5.3. Statistical Inference 5.4. The Serial Multiple Mediator Model 5.5. Complementarity and Competition among Mediators 5.6. OLS Regression versus Structural Equation Modeling 5.7. Chapter Summary III. MODERATION ANALYSIS 6. Miscellaneous Topics in Mediation Analysis 6.1. What About Baron and Kenny? 6.2. Confounding and Causal Order 6.3. Effect Size 6.4. Multiple Xs or Ys: Analyze Separately or Simultaneously? 6.5. Reporting a Mediation Analysis 6.6. Chapter Summary 7. Fundamentals of Moderation Analysis 7.1. Conditional and Unconditional Effects 7.2. An Example: Sex Discrimination in the Workplace 7.3. Visualizing Moderation 7.4. Probing an Interaction 7.5. Chapter Summary 8. Extending Moderation Analysis Principles 8.1. Moderation Involving a Dichotomous Moderator 8.2. Interaction between Two Quantitative Variables 8.3. Hierarchical versus Simultaneous Variable Entry 8.4. The Equivalence between Moderated Regression Analysis and a 2 x 2 Factorial Analysis of Variance 8.5. Chapter Summary 9. Miscellaneous Topics in Moderation Analysis 9.1. Truths and Myths about Mean Centering 9.2. The Estimation and Interpretation of Standardized Regression Coefficients in a Moderation Analysis 9.3. Artificial Categorization and Subgroups Analysis 9.4. More Than One Moderator 9.5. Reporting a Moderation Analysis 9.6. Chapter Summary IV. CONDITIONAL PROCESS ANALYSIS 10. Conditional Process Analysis 10.1. Examples of Conditional Process Models in the Literature 10.2. Conditional Direct and Indirect Effects 10.3. Example: Hiding Your Feelings from Your Work Team 10.4. Statistical Inference 10.5. Conditional Process Analysis in PROCESS 10.6. Chapter Summary 11. Further Examples of Conditional Process Analysis 11.1. Revisiting the Sexual Discrimination Study 11.2. Moderation of the Direct and Indirect Effects in a Conditional Process Model 11.3. Visualizing the Direct and Indirect Effects 11.4. Mediated Moderation 11.5. Chapter Summary 12. Miscellaneous Topics in Conditional Process Analysis 12.1. A Strategy for Approaching Your Analysis 12.2. Can a Variable Simultaneously Mediate and Moderate Another Variable's Effect? 12.3. Comparing Conditional Indirect Effects and a Formal Test of Moderated Mediation 12.4. The Pitfalls of Subgroups Analysis 12.5. Writing about Conditional Process Modeling 12.6. Chapter Summary Appendix A. Using PROCESS Appendix B. Monte Carlo Confidence Intervals in SPSS and SAS

26,144 citations

Journal ArticleDOI
TL;DR: The authors argue that the separation of decision and risk-bearing functions observed in large corporations is common to other organizations such as large professional partnerships, financial mutuals, and nonprofits. But they do not consider the role of decision agents in these organizations.
Abstract: ABSENT fiat, the form of organization that survives in an activity is the one that delivers the product demanded by customers at the lowest price while covering costs.1 Our goal is to explain the survival of organizations characterized by separation of "ownership" and "control"-a problem that has bothered students of corporations from Adam Smith to Berle and Means and Jensen and Meckling.2 In more precise language, we are concerned with the survival of organizations in which important decision agents do not bear a substantial share of the wealth effects of their decisions. We argue that the separation of decision and risk-bearing functions observed in large corporations is common to other organizations such as large professional partnerships, financial mutuals, and nonprofits. We contend that separation of decision and risk-bearing functions survives in these organizations in part because of the benefits of specialization of

14,045 citations

Journal ArticleDOI
TL;DR: The authors argue that service provision rather than goods is fundamental to economic exchange and argue that the new perspectives are converging to form a new dominant logic for marketing, one in which service provision is fundamental for economic exchange.
Abstract: Marketing inherited a model of exchange from economics, which had a dominant logic based on the exchange of “goods,” which usually are manufactured output The dominant logic focused on tangible resources, embedded value, and transactions Over the past several decades, new perspectives have emerged that have a revised logic focused on intangible resources, the cocreation of value, and relationships The authors believe that the new perspectives are converging to form a new dominant logic for marketing, one in which service provision rather than goods is fundamental to economic exchange The authors explore this evolving logic and the corresponding shift in perspective for marketing scholars, marketing practitioners, and marketing educators

12,760 citations

Journal ArticleDOI
TL;DR: In this article, the authors review agency theory, its contributions to organization theory, and the extant empirical work and develop testable propositions and conclude that agency theory offers unique insight into information systems, outcome uncertainty, incentives, and risk.
Abstract: Agency theory is an important, yet controversial, theory. This paper reviews agency theory, its contributions to organization theory, and the extant empirical work and develops testable propositions. The conclusions are that agency theory (a) offers unique insight into information systems, outcome uncertainty, incentives, and risk and (b) is an empirically valid perspective, particularly when coupled with complementary perspectives. The principal recommendation is to incorporate an agency perspective in studies of the many problems having a cooperative structure.

11,338 citations