10,641 research outputs found

    A Survey of Agent-Based Modeling Practices (January 1998 to July 2008)

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    In the 1990s, Agent-Based Modeling (ABM) began gaining popularity and represents a departure from the more classical simulation approaches. This departure, its recent development and its increasing application by non-traditional simulation disciplines indicates the need to continuously assess the current state of ABM and identify opportunities for improvement. To begin to satisfy this need, we surveyed and collected data from 279 articles from 92 unique publication outlets in which the authors had constructed and analyzed an agent-based model. From this large data set we establish the current practice of ABM in terms of year of publication, field of study, simulation software used, purpose of the simulation, acceptable validation criteria, validation techniques and complete description of the simulation. Based on the current practice we discuss six improvements needed to advance ABM as an analysis tool. These improvements include the development of ABM specific tools that are independent of software, the development of ABM as an independent discipline with a common language that extends across domains, the establishment of expectations for ABM that match their intended purposes, the requirement of complete descriptions of the simulation so others can independently replicate the results, the requirement that all models be completely validated and the development and application of statistical and non-statistical validation techniques specifically for ABM.Agent-Based Modeling, Survey, Current Practices, Simulation Validation, Simulation Purpose

    Online networks and subjective well-being

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    We argue that the use of online networks may threaten subjective well-being in several ways, due to the inherent attributes of Internet-mediated interaction and through its effects on social trust and sociability. We test our hypotheses on a representative sample of the Italian population. We find a significantly negative correlation between online networking and well-being. This result is partially confirmed after accounting for endogeneity. We explore the direct and indirect effects of the use of social networking sites (SNS) on well-being in a SEM analysis. We find that online networking plays a positive role in subjective well-being through its impact on physical interactions, whereas SNS use is associated with lower social trust. The overall effect of networking on individual welfare is significantly negative.Comment: 40 page

    The role of social networks in students’ learning experiences

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    The aim of this research is to investigate the role of social networks in computer science education. The Internet shows great potential for enhancing collaboration between people and the role of social software has become increasingly relevant in recent years. This research focuses on analyzing the role that social networks play in students’ learning experiences. The construction of students’ social networks, the evolution of these networks, and their effects on the students’ learning experience in a university environment are examined

    Optimal user esperience in social commerce: the role of emotions, flow and user-generated information

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    This doctoral dissertation aims to understand how to optimize online customer experience in the highly interactive environment of social commerce. In an attempt to go beyond online commercial transactions and to support a consumer-centered and social-oriented perspective, social commerce offers users the necessary tools (e.g., recommendations, referrals, ratings and forums) for fostering social interactions during the online purchasing process. User-generated content, the fruit of these social interactions, can affect and help users in their decision-making process. Hence, the main objective of this dissertation aims to understand online consumer behavior to optimize the customer experience in social commerce. This doctoral dissertation is organized into four studies.Study 1 aims to investigate the customer engagement behavior literature in depth, analyzing the cognitive, affective and behavioral dimensions of the engagement generation process in social commerce and the role of emotions within that process. This study proposes a model of the cognitive, affective and behavioral dimensions of the engagement generation process. The model analyzes how interactivity, social presence and enjoyment affect sPassion and result in positive sWOM. The results confirm empirically that cognitive experience and emotional feelings derived from the process boost user participation. At the core of the process, sPassion positively affects the spread of sWOM. Study 2 has the objective of reaching a wider understanding of optimal user experience in social commerce and its mediating effect between emotions and behavior. Accordingly, the study is divided into two parts: first, to analyze the dimensionality, structure and measurement of the state of flow; and second, to test how websites can improve user experience to boost positive sWOM while avoiding negative sWOM. The empirical results confirm the three-dimensional nature of the concept and support its second-order reflective structure, thereby helping to establish the basis for measuring state of flow, its structure and factors; and it confirms that passionate users are likely to experience a state of flow and, as a consequence, to share positive sWOM. Study 3 investigates how user-generated versus company-generated information contributes to trust in the social commerce site, at the same time analyzing how user-generational cohorts behave (Generations X, Y and Z). Social commerce websites offer content created by the company itself and by its users, and this content is accessible without time and space constraints; therefore, everyone, regardless of age, can access social commerce information. The mission of social commerce is to boost tradeoffs while offering users the chance to share their own experiences and to obtain information from the experiences of others. Hence, trust transferred in this part of the purchasing decision process will be influenced by trust in the type of information available. Thus, Study 3 analyzes how user-generated and company-generated information contribute to trust in social commerce. The younger the generation, the more trust in social commerce is transferred from trust in user-generated information; the older the generation, the more trust in social commerce is transferred from trust in company-generated information. Study 3 confirms that users cannot be considered as a single group and must be segmented into generational cohorts.Study 4 investigates user experience across cultures, analyzing the effect of hedonic and utilitarian antecedents on optimal user experience and its consequences on user intention. Taking into account the salience of emotions within experiences of digital technologies, this study has a twofold purpose. First, it analyzes how emotions such as sPassion compared with flow state affected by usability, resulting in a positive impact on emotional and behavioral loyalty. Second, as the main focus of the study, cultural background is tested as a moderating effect.This dissertation allows us to draw a number of main conclusions regarding the study of online consumer experience in social commerce. First, on the basis of the importance of emotion in customer experience, this dissertation supports the primary role of emotions in shaping optimal user experience in social commerce. Second, once users are engaged and have reached an optimal experience (state of flow), this situation drives positive changes in their behavior, positively affecting their decision-making process. Third, it is necessary to take into account the fact that generational cohorts behave differently, since they trust information in different ways. Last, but not least, despite the fact that culture influences decision-making processes, the internationalization of markets and multiculturalism is making users more and more similar.<br /

    Civic Associations That Work: The Contributions of Leadership to Organizational Effectiveness

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    Why are some civic associations more effective at advancing their public agendas, engaging members, and developing leaders? We introduce a multi-dimensional framework for analyzing the comparative effectiveness of member-based civic associations in terms of public influence, member engagement, and leader development. Theoretical expectations in organization studies, sociology, political science, and industrial relations hold that organizations benefiting from either a favorable environment or abundant resources will be most effective. Using systematic data on the Sierra Clubs 400 local organizations, we assess these factors alongside an alternative approach focusing on the role of leaders, how they work together, and the activities they carry out to build capacity and conduct programs. While we find modest support for the importance of an organizations available resources and external environment, we find strong evidence for each of our three outcomes supporting our claim that effectiveness in civic associations depends to a large degree on internal organizational practices.This publication is Hauser Center Working Paper No. 36. The Hauser Center Working Paper Series was launched during the summer of 2000. The Series enables the Hauser Center to share with a broad audience important works-in-progress written by Hauser Center scholars and researchers

    Semantic discovery and reuse of business process patterns

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    Patterns currently play an important role in modern information systems (IS) development and their use has mainly been restricted to the design and implementation phases of the development lifecycle. Given the increasing significance of business modelling in IS development, patterns have the potential of providing a viable solution for promoting reusability of recurrent generalized models in the very early stages of development. As a statement of research-in-progress this paper focuses on business process patterns and proposes an initial methodological framework for the discovery and reuse of business process patterns within the IS development lifecycle. The framework borrows ideas from the domain engineering literature and proposes the use of semantics to drive both the discovery of patterns as well as their reuse

    Project Risk Assessment and Corporate Behavior: Creating Knowledge for Sustainable Business

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    In a VUCA world (volatile, uncertain, complex, and ambiguous), organizations, in order to achieve a sustainable competitive advantage, must learn to mitigate risk and prioritize performance and innovation. In the last decade, as a way to respond to market demands, projects emerge as a way for organizations to implement their strategic objectives in order to respond to a need, opportunity, or threat in an efficient way. This e-book includes a collection of 11 papers that discuss theoretical approaches and case studies, focused on a combined effect between Project Risk Assessment and corporate behaviour in order to support the sustainability and business resilience in a competitive environment. The e-book will be of particular interest to entrepreneurs, researchers, and policymakers
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