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The present thesis aims to deduce tasks and characteristics of end users during the open innovation process on the social web. The social web with its communities, forums and blogs affords new prospects as well as unknown challenges for companies, and at the same has increasingly influenced academic research during the last few years. Especially research regarding communication behaviour on the social web as well as social web technologies has currently progressed well. However, in innovation research, social web technologies are currently primarily used to integrate users into the company’s innovation process, for example through company user toolkits or company innovation communities. In those cases users were excluded from their normal social web environment and integrated into a company’s environment, a sort of laboratory environment. Despite this, the present research project will use the natural behaviour, comments and discussions of users within their social web environment to develop and apply a new mixed-method approach with the aim to deduce tasks and characteristics of innovative end users on the social web. To apply the mixed-method approach within a longitudinal case study and to deduce statements and regularities regarding the innovation process on the social web, it was possible to analyse the end user developer online forum of one of the leading open source CRM software technologies. Based on this analysis, the assumptions from an extensive literature analysis could be verified and extended: it could be shown that the expected single innovative user does not exist. In fact, the process from the initial idea to an innovation requires different users with different characteristics and different points of view. They will be deduced, explained and presented within the present thesis.

The UK is required to reduce its greenhouse gas emissions by 80 per cent from 1990 levels, by 2050. Greenhouse gas emissions attributed to the UK higher education sector have increased by 34.5 per cent from 1990 to 2005. Higher education institutions have a unique role in the UK greenhouse gas emissions inventory, beyond management of their own estates and compliance with policy and legislation, higher education institutions have responsibilities as innovators and educators, inspiring students and employees through example and best practice. This study sought to understand acceptability of greenhouse gas emissions reduction policies among employees of a higher education institution. The value-belief-norm theory was used in a questionnaire to understand individual attitudinal factors thought to influence policy acceptability (N=405). Recognising that an employee's attitudinal factors may be influenced by their work colleagues, this study used social network analysis to understand the social context within which individual attitudinal factors sit. Support was found for higher education institutions to reduce their greenhouse gas emissions. Employees found policies that encouraged desired behaviours, such as assistance with train travel costs and working from home, to be more acceptable than policies that discouraged undesired behaviours, such as doubling the price of a car-parking permit. Support was found for the structure and content of the value-belief-norm theory, but logistic regression suggested that it provided a weak explanation of employee policy acceptability, indicating that other factors may have a greater role. Analysis of workplace social networks suggested that employees have small social groups (x̄=8) and do not select to be close to colleagues that reflect their own perspectives. Practitioners and policymakers should seek to address this void in environmental social norms through recruitment of more environmental champions to deliver strong and persuasive pro-environmental messages.

The innovation ecosystem’s online presence continues to grow with the emergence and maturation of ICT-based platforms. With these new channels, a diversity of actors, including firms, scientists, universities, media entities, and individuals, interact to satisfy their information needs and to access and mobilize network-based resources. This research is among a growing number of social science studies examining the advent of social media and its influence on the innovation process, asking, “How do different types of actors use social media to form network linkages, and what kinds of innovative outcomes will result?” To study this complex network activity, I turn to Twitter, the popular microblogging service, and focus on the case of graphene, a novel nanotechnology material consisting of a two-dimensional sheet of carbon atoms. Twitter is one of the world’s most often-used social networks, boasting over 500 million users (200+ million active). Graphene, on the other hand, is a relatively well-bounded area of scientific inquiry with ongoing, concurrent scientific and commercialization activity. The primary sample dataset derives from 34 graphene firms’ friend and followers relationships captured in early 2014. Nine interview transcripts supply qualitative data. The results show that network formation on Twitter is not random and that certain actor relationships predict following linkages. A series of network visualizations show that users agglomerate in communities; these communities exhibit greater density than the larger ecosystem network and a propensity to congeal in topically focused ways. That is, each community indicates a coherent topical focus, suggesting that graphene firms follow specific sets of users in ways that support their information and resource needs. At the micro-level, an unstructured text mining approach to operationalizing and computing information distance shows that increasing amounts of topical distance between any two users decreases the likelihood of a tie existing. Are innovation outcomes more likely to occur in strategically-developed and information-rich social media networks? Drawing on different sources of “behavioral additionality” – or changes in behaviors as a result of social media participation – I identify ex-ante several such plausible outcomes, which could include increased awareness, improved problem solving ability, community development, and greater sales. The qualitative results show that social media participation results in increased awareness of graphene and related ecosystem topics, but engagement is a key tactical maneuver that actors pursue, often in varying ways, to access and mobilize other resources. Policy implications are targeted at intermediary institutions and scientists, while management implications focus on high-technology SMEs. Limitations include alternative theories to explaining social media participation and engagement, methodological issues, and the continuing evolution of social media platforms and usage patterns. Future work is considered to address the temporal nature of network construction and topical growth (or constriction), as well as the ability to map areas of science and technology through social media data.

Overconfidence and its relationship to investor market participation is well established in the finance literature. The research into investors and social networks is only in its infancy, however. This thesis extends the literature by expanding on both subjects individually, then bringing them together. Empirical work on individual investors in the existing literature links overconfidence and excess trading, resulting in impaired returns. The preferred activity metric, monthly account turnover, encapsulates two separate elements, though. One is trade frequency. The other is leverage use. Chapter 4 of this thesis theorizes based on the existing literature that in fact trade frequency is not a good measure of overconfidence. It then demonstrates through empirical analysis of a group of individual non-professional foreign exchange traders that leverage is much more suitable to that role. Chapter 5 turns the focus to social networks, particularly with respect to information transfer. The literature in finance anticipates that network members benefit from their membership. Further, network position (social capital) enhances that benefit. This thesis challenges that expectation with respect to non-professional investors. Findings based on analysis of members of an online retail foreign exchange trader social network indicate that while there may be an educational benefit accruing to unsophisticated members, for more sophisticated ones membership appears to have a negative effect on returns. One potential explanation for the negative impact of network membership is explored in Chapter 6 in the form of impression management. It is hypothesized that sophisticated investors are influenced in their behaviour by the realization they are being observed, and also the size of their audience. Analysis of foreign exchange traders indicates an increase in leverage use among sophisticated investors as their audience size increases, coinciding with a decline in trade excess returns, making the case for an observation-based rise in overconfidence.

Companies may need an infusion of capital for a multifold of reasons. The importance of capital needed for innovation applies not only to large companies but also to start-ups. In recent years crowdfunding has evolved and become a common alternative for entrepreneurs to finance their start-up. Research about crowdfunding is still in its infancy, and few articles about crowdfunding has yet been published. The purpose of this paper is to examine how social media influences crowdfunding as a communication and marketing channel. The paper is based on a quantitative research strategy, with data regarding 156 campaigns, featured on Kickstarter.com. The outcome of this paper shows that many campaigns used social media to market the campaign. On the contrary not all campaigns used all examined social media. Some social media were more commonly used than other, such as Facebook or Twitter. The outcome of the paper however shows that the number of updates made on the campaigns site does not have any connection regarding the funding level. It can furthermore be other factors that play a crucial role whether or not a campaign reaches its funding goal.

This dissertation uses a relational approach and a contentious politics framework to examine the archaeological record. Methodologically, it merges spatial and social network analyses to promote a geosocial archaeology. Combined, the articles create a counter-narrative that highlights how environmentally focused investigations fail to explain how and why societies in the Southwest often reorganize horizontally. The first article uses geosocial networks, which I argue represent memory maps, to reveal that the socially important, and sophisticated, act of forgetting was employed by people in the Gallina region during A.D. 1100 - 1300. A concomitant community level, settlement pattern analysis demonstrates similarities between the arrangement of Gallina and Basketmaker-era settlements. These historically situated settlement structures, combined with acts of forgetting, were used by Gallina region residents to institute and maintain a horizontally organized social movement that was likely aimed at rejecting the hierarchical social atmosphere in the Four Corners region. The second article proposes that as ideologically charged material goods are consumed, fissures within past ideological landscapes are revealed and that these fissures can demonstrate acts of resistance in the archaeological past. It also contends that social and environmental variables need to be combined for these conflicting religious and political practices to be correctly interpreted. The third article applies many of the ideas outlined in the second article to a case study in the Greater Southwest during A.D. 1200 - 1450. Fractures in the ideological landscape demonstrate that the Salado Phenomenon was a religious social movement formed around, and successful because of, its populist nature. Based on variations in how the Salado ideology interacted with contemporaneous hierarchical and non-hierarchical religious and political organizations it is probable that the Salado social movement formed around desires for the open access to religious knowledge.

Due to the increased number of the amount of asylum-seekers that have migrated to Sweden lately, the topic has received increased attention. This has contributed to housing shortage and policy reforms for new migrants to arise in order to ensure that everybody gets housing. Asylum seekers often experience more difficult patterns to housing, and for LGBT asylum seekers especially since they are such a marginalised group in our society already. Housing is an important part in the initial settlement stage and good housing enables successful resettlement and that will help with the integration process. The aim of this thesis is to look at LGBT asylum seekers mobility and what constrains and opportunities they face in that process. To answer these questions qualitative method and semi-structured life story interviews have been performed with twelve LGBT asylum seekers. The result of these interviews has been presented around four different concepts that were factors contributing to their mobility. These four concepts that were found in the interviews was forced migration, homophobia, social network and freedom. These findings should be of interest for further studies in order for LGBT asylum seekers mobility patters to become more safe and secure.

Job seekers and employers frequently make application and selection decisions based on how well they believe there is a ‘fit’ with the organization and job. The personenvironment fit literature has strongly supported this practice demonstrating that fit is an antecedent to attraction, selection, and attrition. What has been lacking, however, is evidence that once individuals enter the organization their fit relates to performance. Using a social network analytical lens, I develop a framework that integrates PE fit and social networks to explore antecedents to employee performance. Using this framework, I explore how informal workplace relationships may act as catalysts through which fit either enhances or detracts from individual performance, how fit might directly influence performance once the social context is taken into account, and how fit might make an individual an attractive exchange partner benefiting performance. Results suggest that PE fit is related to individual performance (both in- and extra-role) but that this relationship differs depending on how well embedded the employee is in the informal social networks of the organization. It is only when accounting for the ‘who you know’ element of organizational life that we can see how ‘who you are’ relates to performance.

My dissertation examines how individuals respond to workplace social comparisons. I measure the explicit set of referent others that individuals compare themselves against in order to evaluate their own level of performance. I examine how the social context of these comparisons impact discretionary performance related behaviors by examining how an individual’s position within a social network and the structural characteristics of an individual’s reference group influences the experience of discrete emotions. Specifically, I examine how malicious envy and benign envy mediate the relationship between social comparison and workplace behavior in a field setting. Results indicate that social network structure plays a significant role in motivating both productive and counterproductive responses to social comparison. Whether or not an employee responds to upward social comparisons by increasing their own work effort or engaging in deviant behavior is influenced by the experience of benign and malicious envy, which is in turn influencedby the network structure of reference groups. Furthermore, social network position plays a moderating role in the occurrence of workplace deviance by either enhancing or limiting the opportunities an employee has to engage in deviant behavior.