Search results

Expert searchers engage with information in a variety of professional settings, as information brokers, reference librarians, information architects and faculty who teach advanced searching. As my recent research shows, the expert searcher’s information experience is defined by profound discernment of critical concepts about information, and a fluid ability to apply this knowledge to their engagement with the information environment. The information experience of the expert searcher means active and intentional participation with the processes and players that created that information environment. Expert searchers become an integral and seamless part of their information environment and also play a role in facilitating the information experiences of others.

In this chapter, after discussing my understanding of the concept of information experience, I outline how I used threshold concept theory to explore the information experience of expert searchers. Through the findings, I identify four threshold concepts in the acquisition of search expertise that provide new perspectives on the information experience of the expert searcher. These new perspectives have implications for search engine design and how advanced search skills are taught. Finally, I consider how the fresh insights about the expert searcher’s experiences contribute to wider understanding about information experience.

This chapter explores the potential of grounded theory research methods for eliciting threshold concepts. It begins with an overview of threshold concept theory, then reviews current methodological approaches, as well as challenges encountered, when researching threshold concepts. The discussion argues for the suitability of grounded theory for this purpose, using a specific case for illustration. Specific elements of the research design that strengthened the use of grounded theory in the exploration of threshold concepts are described. The case example used is of graduate students and practicing professionals’ learning experiences when acquiring expertise in the online environment. The case is used to demonstrate the grounded theory method’s efficacy for eliciting evidence of transformative learning experiences, leading to implications for improving curriculum design.

We investigate the effects of technological capabilities on firms’ survival chances during market-fusing technological change. Our context is the matured U.S. machine tool industry. During the period of our study, 1975 through 1995, a drastic shift in demand conditions prompted the buyers of machine tools to demand more versatile products to improve their productivity. The advent of microprocessors enabled manufacturers to meet these demands by combining the functions of previously distinctive products. As a result, market segments fused and machine tool manufacturers in once disparate product categories came into direct competition with one another. We propose that incumbents with broader component and architectural capabilities will be better able to adapt to and hence survive market-fusing technological change. Our results, based on a panel data set of U.S. machine tool incumbents, support the value of broad component capabilities but reveal no adaptive advantage of architectural capabilities.

Data fusion and the combination of multiple data sources have been part of travel survey processes for some time. In the current context, where technologies and information systems spread and become more and more diverse, the transportation community is getting more and more interested in the potential of data fusion processes to help gather more complete datasets and help give additional utility to available data sources. Research is looking for ways to enhance the available information by using both various data collection methods and data from various sources, surveys or observation systems. Survey response rates are decreasing over the world, and combining survey modes appears to be an interesting way to address this problem. Letting interviewees choose their survey mode allows increasing response rates, but survey mode could impact the data collected. This paper first discusses issues rising when combining survey modes within the same survey and presents a method to merge the data coming from different survey modes, in order to consolidate the database. Then, it defines and describes the data fusion process and discusses how it can be relevant for transportation analysis and modelling purposes. Benefiting from the availability of various datasets from the Greater Montréal Area and the Greater Lyon Area, some applications of data fusion are constructed and/or reproduced to illustrate and test some of the methods described in the literature.

This chapter examines the principles behind law enforcement intelligence and identifies best practices established by other local and state law enforcement organizations. Then, it conducts a close analysis of the law enforcement intelligence process to determine, in light of best practices, how policies and procedures might be changed to better address law enforcement operations. A redefined intelligence process, as described in this chapter, will provide all participating agencies with a universal definition of law enforcement intelligence, will maintain and enhance community-policing efforts, and will establish a platform for contribution to the domestic intelligence cycle – which is essential for leveraging resources to detect and disrupt organized criminal organizations and terrorism.

The Congress of Industrial Organizations’ (CIO) choice to build a labor party in New York was facilitated by an unusual institutional context that permitted unions to back a labor party while simultaneously endorsing other party's candidates. Though the CIO–ALP (American Labor Party) became a major political force in New York, CIO links to the party were ultimately severed after factions in the CIO–ALP opted to back a third party presidential candidacy. The rise and fall of the CIO–ALP highlights the need to be attentive to institutional context when explaining organized labor's “exceptional” choice to forgo building a national labor party in the United States.

In this paper I argue that the liberal problem of religion, which defines religion in terms of dogmatism or opaque justifications based on ‘revealed truth’, needs to be rethought as part of a broader problem of dialogue, which does not define religion as uniquely problematic.

Habermas argues for religious positions to be translated into ‘generally accessible language’ to incorporate religious citizens into democratic dialogue and resist the domination of instrumental rationality by enhancing ‘solidarity’. I contrast this with Rowan Williams’ and Gadamer’s work.

Williams conceptualises religion in terms of recognising the finitude of our being, rather than dogmatism or opacity. This recognition, he argues, allows people to transcend the ‘imaginative bereavement’ of seeing others as means. Using Williams, I argue that Habermas misdefines religion, and reinforces the domination of instrumental rationality by treating religion as a means. I then use Gadamer to argue that the points Williams makes about religion can apply to secular positions too by recognising them as traditions subject to finitude.

This is original because it argues that the liberal problem of religion misdefines both religion and secular positions, by not recognising that both are traditions defined by finitude. To reach, dialogically, a ‘fusion of horizons’, where religious and secular people are understood non-instrumentally in their own terms of reference, will take time and not trade on immediately manifest – ‘generally accessible’ – meanings.

Purpose – The overall purpose of this chapter is to discuss what is known about serious forms of bias violence, obstacles to studying bias violence, and how alternative theoretical and methodological approaches can advance our understanding of bias violence in the twenty-first century.

Design/methodology/approach – Following a review of the literature, the applicability of identity fusion theory for explaining bias violence is considered and applied to the anti-racial mass shooting at an historically Black church in Charleston, South Carolina. Data come from an innovative open-source project known as the United States Extremist Crime Database.

Findings – Drawing from identity fusion theory, information from open-source data on the Charleston church shooting suggests that the perpetrator was a highly fused individual who perceived African Americans as a threat toward his social identity group and committed an act of extreme behavior (i.e., bias homicide) as a means for stabilizing his self-views.

Originality/value – This chapter builds upon prior studies of bias violence by demonstrating how (1) publicly available open sources (e.g., court documents and media reports) may be systematically compiled and used as reliable data for studying serious forms of bias violence, and (2) the use of social psychological theories, specifically identity fusion theory, can help to explain the role of personal and group identities in discriminatory violence.