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This paper aims to present social trust as a variable of influence by demonstrating the possibilities of trusted social nodes to improve influential capability and rate of successfully influenced social nodes within a social networking environment.

This research will be conducted using simulated experiments. The base algorithm in research uses genetics algorithm diffusion model (GADM) where it carries out social influence calculations within a social networking environment. The GADM algorithm will be enhanced by integrating trust values into its influential calculations. The experiment simulates a virtual social network based on a social networking site architecture from the data set used to conduct experiments on the enhanced GADM and observe their influence capabilities.

The presence of social trust can effectively increase the rate of successfully influenced social nodes by factorizing trust value of one source node and acceptance rate of another recipient node into its probabilistic equation, hence increasing the final acceptance probability.

This research focused exclusively on conceptual mathematical models and technical aspects so far; comprehensive user study, extensive performance and scalability testing is left for future work.

Two key contributions of this paper are the calculation of social trust via content integrity and the application of social trust in social influential diffusion algorithms. Two models will be designed, implemented and evaluated on the application of social trust via trusted social nodes and domain-specified (of specific interest groups) trusted social nodes.

This paper aims to extend previously reported research on the Sisyphus Effect in consumers’ decision making to consumers classified as either maximizers or satisficers. The purpose of this study was to examine whether the Sisyphus Effect influences consumer behavior related to purchasing brand-extension products and explore factors that influence the Sisyphus Effect in brand extension.

A survey was administered to participants in three studies. A convenience sample consisting of 875 participants was asked to complete the questionnaires. The authors assessed whether the participants were maximizers or satisficers. In addition, the participants were given information on brand-extension products that differed in the level of involvement and price and were asked whether they would purchase them.

Using regression analysis, the authors found that consumers’ willingness to purchase extended products became weaker as maximization tendencies became stronger. In addition, purchase involvement was confirmed as a situational factor that can increase maximization tendencies even in individuals who do not maximize as a default strategy. Finally, for low-involvement extended products, the authors found that product price played a moderating role in the negatively correlated relationship between maximization tendency and willingness to purchase a product.

This study suggests avenues to increase the effectiveness of a brand-extension strategy and illustrates some tactics that are not likely to be successful.

Effective mechanisms for corporate governance are essential for market-based economic systems. This chapter addresses the necessity of corporate governance research to address the competing goals of various stakeholders in the firm: managers, suppliers of financial capital, and other stakeholders. The review of literature reveals that firm-level complexity, as well as diversity of national business systems, are important for understanding corporate governance practices and regulations around the world.

The purpose of this paper is to integrate Modigliani-Miller (MM) theory and stock repurchases strategy to procure a practical concept for capital decision.

No-arbitrage proof model deduction was used in this study. The authors consider corporate tax and funding sources as two crucial factors drawn in the model. The paper derives some propositions by trichotomy property and keeps the key assumptions of MM Capital Structure Theory.

There are two different effects on firm's value through stock repurchases. The positive effect occurs on firm's value through stock repurchases with loan fund. And the negative impact exists on firm's value through stock repurchases with idle fund.

Notably, in the real world there are three limitations with such an arbitrage transaction (Stulz, 2000). The first one is the default risk, and the second one is transaction costs and the last one is the perfect credit market assumption. In the near future, the authors suggest it would be interesting to involve the interest rate factor and contingent tax variable into our model.

On the basis of no arbitrage opportunity, this paper considers both trichotomy property and MM theory. It proves the share repurchase strategy should be financed by borrowing fund. In contrast, share repurchase should not be executed with idle fund because of opportunity cost.

In online social network analysis, the problem of identification and ranking of influential nodes based on their prominence has attracted immense attention from researchers and practitioners. Identification and ranking of influential nodes is a challenging problem using Twitter, as data contains heterogeneous features such as tweets, likes, mentions and retweets. The purpose of this paper is to perform correlation between various features, evaluation metrics, approaches and results to validate selection of features as well as results. In addition, the paper uses well-known techniques to find topical authority and sentiments of influential nodes that help smart city governance and to make importance decisions while understanding the various perceptions of relevant influential nodes.

The tweets fetched using Twitter API are stored in Neo4j to generate graph-based relationships between various features of Twitter data such as followers, mentions and retweets. In this paper, consensus approach based on Twitter data using heterogeneous features has been proposed based on various features such as like, mentions and retweets to generate individual list of top-k influential nodes based on each features.

The heterogeneous features are meant for integrating to accomplish identification and ranking tasks with low computational complexity, i.e. O(n), which is suitable for large-scale online social network with better accuracy than baselines.

Identified influential nodes can act as source in making public decisions and their opinion give insights to urban governance bodies such as municipal corporation as well as similar organization responsible for smart urban governance and smart city development.

The currently dominant version of the corporate form – the profit-maximizing corporation – is one of the most influential organizational forms in contemporary society. It is also one of the most criticized organizational forms, especially with respect to questions of purpose, participation, and ownership. The corporation’s strong focus on profit maximization and its non-democratic nature, as it excludes non-shareholding stakeholders from participating in how the corporation is run, have all attracted significant criticism. There are, however, several debates over alternative ways of organizing besides the corporation. In this chapter, we review the most influential of these: co-operatives, state-owned enterprises, democratically organized firms, social enterprises, stakeholder firms, and firms based on the sharing economy business model. We first analyze how these alternative ways of organizing do things differently with respect to questions of purpose, participation, and ownership and then we discuss how these different approaches can inspire efforts to reform the corporation.

This paper attempts to reconcile two opposing views of the strategies and conduct of closely held firms: that of entrepreneurship and that of family business. The former view suggests that these firms tend to be value maximizing organizations that pursue growth strategies and outperform. The latter often argues that these businesses are utility maximizers that pursue conservative harvest strategies and fail to outperform.

In order to reconcile the controversy, this paper examines the literature in an attempt to relate ownership priorities and risk taking preferences to governance distinctions relating to family involvement, ownership, and management.

It concludes that the value‐maximization expectations of the entrepreneurship literature apply only to lone or unrelated founder businesses whose owners, unencumbered by family distractions, embrace growth and outperform. By contrast the utility‐maximization expectations of the family business literature apply when there are multiple family owners or executives. These parties are argued to be harvest‐oriented, mediocre performers, especially after a new generation has entered the firm. This may be because their priorities and loyalties are shared between business and family considerations. However, family and lone founder firm outcomes are argued to be further shaped by owners' levels of control and ownership, their managerial roles, and the breadth of family personal and generational involvement.

The analysis has implications for the effective governance, board composition, and management of these different types of firms.

The paper reconciles two important literatures to derive implications for strategy and performance that must be addressed by agents of corporate governance in family and founder firms.

Niskanen (1971) established an influential and enduring model of bureaucrats as budget maximizers. Since this theory’s inception, most empirical tests have demonstrated the limited validity of Niskanen’s vision. Using state agency heads as an analytical unit, this paper further develops ways that the rational choice assumptions inadequately characterize bureaucratic budget aspirations: First, instead of being self-interested, many bureaucrats focus on the interests of collectives across governmental and societal actors, and second, an enhanced focus on transparency in presentation of budgetary and programmatic information reduces the information asymmetry that is central to Niskanen’s theory. The findings show that intentions based in a broad public interest and motivations of accountability and transparency tend to reduce, rather than enhance, growth aspirations in state-level bureaucrats.

The social media revolution has brought tremendous change in business strategies for marketing and promoting the products and services. Online social networks have become prime choice to promote the products because of the large size of online communities. Identification of seed nodes or identifying the users who are able to maximize the spread of information over the network is the key challenge faced by organizations. It is proved as non-deterministic polynomial-time hard problem. The purpose of this paper is to design an efficient algorithm for optimal seed selection to cover the online social network as much as possible to maximize the influence. In this approach, agglomerative clustering is used to generate the initial population of seed nodes for GA.

In this paper agglomerative clustering based approach is proposed to generate the initial population of seed nodes for GA. This approach helps in creating the initial populations of Genetic algorithm from different parts of the network. Genetic algorithm evolves this population and aids in generating the best seed nodes in the network.

The performance of of proposed approach is assessed with respect to existing seed selection approaches like k-medoid, k-means, general greedy, random, discounted degree and high degree. The algorithms are compared over networks data sets with varying out-degree ratio. Experiments reveal that the proposed approach is able to improve the spread of influence by 35% as compared to contemporary techniques.

This paper is original contribution. The agglomerative clustering-based GA for optimal seed selection is developed to improve the spread of influence in online social networks. This paper is of immense importance for viral marketing and the organizations willing to promote product or services online via influential personalities.

Given the increasing use of social media and other digital technologies, critical theorists argue that social life has become increasingly structured by neoliberal market logics. Little research has empirically tested these claims.

This study is the first to examine whether the use of digital technologies in the avant-garde literary field is accompanied by neoliberal logics. Developing a cultural logics approach to neoliberalism, which allows for the identification of the independent logics of entrepreneurship, market-faith, profit-maximization, efficiency, and individualism, I draw on archival data and interviews with editors and writers to explore the relationship between digital technologies and neoliberalism.

Editors and writers legitimate some neoliberal logics and reject others. Entrepreneurship and efficiency are strongly legitimated. Profit-maximization is generally rejected. Market-faith and individualism are legitimated differently by editors and writers who occupy different positions within the field, drawing attention to the importance of field position, organizational affiliation, and career exhaustion in the use of digital technologies in the avant-garde literary world. Many of these findings are surprising given the historically non-economic orientation of the field.

Future research should explore neoliberal logics in other aspects of literary production and in other social domains.

This study provides a novel approach to the study of neoliberal logics as well as their relationship to digital technologies. Such an approach complements recent agendas in economic sociology and contributes to debates about the relationship between new technologies and capitalism.