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This paper examines the possibility of using sense of belonging as an indicator for social capital. Social capital, from the collective social capital theory perspective, is constructed from three main elements: trust, social network and participation. Social capital is crucial to civil society and well-being, but there is no consensus on how to define and measure it. This paper approaches this problem with the different but related concept of sense of belonging, as belonging overlaps with social capital conceptually, but also is more amenable to measurement.

Qualitative and quantitative data was collected from approximately 800 university students and used to explore the relationship between belonging and social capital both conceptually and empirically in the higher education context.

The mixed methods research analysis in this paper provides strong evidence to show how sense of belonging and social capital are theoretically and empirically intertwined, Conceptually they occupy overlapping spheres and their connections can be clearly traced and measured. This is supported by substantial statistical evidence of their relatedness, despite their independent origins in social research. For these reasons, this paper argues that sense of belonging can be used as a simplified alternative way to measure social capital.

This paper explains the advantages of using sense of belonging to understand social capital. It sets out a conceptual framework and provides a statistical demonstration. This paper develops and enriches a current strand of social capital and sense of belonging research in the fields of sociology and higher education policy.

The archaeological record of small-scale societies is replete with examples of people expending considerable labor to craft both places and objects for communal rituals. Archaeologists often infer these efforts to have been the product of aspiring elites. This chapter focuses instead on the larger community responsible for the construction of places and objects, through a ritual economy analysis of the social logic people use to organize the production of ritual places and paraphernalia. A review of ethnographic and archaeological data suggests that the production of communal ritual places often involves the creation of sociograms, while the production of objects for use within these places encompasses a web of complementary and competitive relations. Two examples of large-scale communal ritual spaces, the early British Neolithic causewayed enclosures and the Ohio Hopewell geometric earthworks, are explored in light of these ethnographic and archaeological patterns.

The purpose of this study is to develop a Sport Website Acceptance Model (SWAM) based on the Technology Acceptance Model (TAM; Davis, 1989). To better explain sports fans' decision-making processes in using sports websites, we incorporated salient consumer variables as sports involvement and psychological commitment and added trustworthiness and enjoyment to the TAM. The paper concludes with implications for future research and for application to online sports business.

Life studies are a rich source for further research on the role of the Afro‐American woman in society. They are especially useful to gain a better understanding of the Afro‐American experience and to show the joys, sorrows, needs, and ideals of the Afro‐American woman as she struggles from day to day.

Daniel and Titman (1997) contend that the Fama‐French three‐factor model’s ability to explain cross‐sectional variation in expected returns is a result of characteristics that firms have in common rather than any risk‐based explanation. The primary aim of the current paper is to provide out‐of‐sample tests of the characteristics versus risk factor argument. The main focus of our tests is to examine the intercept terms in Fama‐French regressions, wherein test portfolios are formed by a three‐way sorting procedure on book‐to‐market, size and factor loadings. Our main test focuses on ‘characteristic‐balanced’ portfolio returns of high minus low factor loading portfolios, for different size and book‐to‐market groups. The Fama‐French model predicts that these regression intercepts should be zero while the characteristics model predicts that they should be negative. Generally, despite the short sample period employed, our findings support a risk‐factor interpretation as opposed to a characteristics interpretation. This is particularly so for the HML loading‐based test portfolios. More specifically, we find that: the majority of test portfolios tend to reveal higher returns for higher loadings (while controlling for book‐to‐market and size characteristics); the majority of the Fama‐French regression intercepts are statistically insignificant; for the characteristic‐balanced portfolios, very few of the Fama‐French regression intercepts are significant.

Although parent socialization practices are critical to children’s cognitive development, educational researchers know too little of how parental practices function to meet the specific challenges of supporting African American boys’ development. This chapter offers critical insights on how 15 parents of African American boys (ages 3–8) conceive and implement strategies for the development of their sons. Using structured interview data, this chapter highlights the ways in which they promoted an emerging academic identity. Findings reveal three forms of support – schools, emotional, and resource – that undergirded the academic socialization of the African American boys. Implications were offered to young African American boys in developing their academic identity.

Advanced information technologies, and particularly big data, provide new affordances to facilitate inter-organizational collaboration. Rich flows of real-time data provide transparency across organizational boundaries and enable greater automation of inter-organizational routines. Taking stock of the literature and building on observations from the research in an industrial setting, the authors introduce the concept of technological embeddedness as an important characteristic of inter-organizational relationships, denoting the degree of monitoring, control, and optimization of intra- and inter-organizational tasks accomplished through technology at the interface of the inter-organizational relationship. The authors theorize how increasing technological embeddedness created by big data technologies affects the development of inter-organizational trust, mutual adaptation, and temporal structuring of collaboration. The propositions elaborate how greater technological embeddedness enables collaboration, and warn about the potential limiting effects of technological embeddedness on the development of interpersonal trust, strategic learning, and long-term orientation.