Search results

Information literacy instruction in higher education tends to focus on a relatively small slice of the information literacy landscape: academic research skills. Students often fail to see the relevance of these sessions beyond the direct application to their assignments. In addition, while this type of instruction helps students succeed academically, it does not necessarily prepare them for their future careers, which can lead to a lapse in student engagement. A prior exploratory survey study among alumni of four bachelor of nursing programs provided insight into current information practices of professional nurses and how librarians could have better prepared them for their eventual workplace. This chapter outlines how this evidence informed a change in information instruction, now preparing nursing students for professional as well as academic success. This evidence-based approach has the potential benefit of making instruction more relevant and engaging to students, while at the same time expanding their information literacy skills. Teaching nursing students professional information literacy skills, in addition to academic information literacy skills, leads to better-prepared nurses which ultimately benefits their patients. The chapter provides several implementation examples but also addresses the challenges that librarians face when pursuing evidence-based practice to increase student engagement.

We are living in an electronic age, where everything that we want to know or are curious about is increasingly facilitated by the internet and search engines. Now, much of the world’s knowledge is at our fingertips. Students have unlimited access to information in the form of e-books, journals and other open sources. The value of a physical repository of knowledge is diminishing and the printing of material is becoming less compelling. It has been noted that college students spend as much time on the internet as they do while studying (Jones, 2002). The most pertinent question is whether the library is still considered an important source of information to students? Can we imagine a university without a library with just computers and a server room? The information highway is posing new challenges that the librarians have to deal with (Dunn, 2002; Rockman & Smith, 2002). In the past, gatekeepers like the librarian decided what a student should read, depending on their level of study and their comprehension power. The picture has altered and now students decide what exactly they should read with the click of their computers. Leaders in higher education institutions are skeptical as to how much they should actually invest in buying books, how many shelves to create to stack them and whether the collection of books is going to be an indicator of the academic quality of that institution. This book talks about a vital subject as to how much and in what ways a library can engage a student to create information literacy. Various interventions have been discussed as case studies in colleges and universities from Canada to India. Student-centered workshops have been designed along with university partnerships with a writing center as well as the role of a library as a source of socio-economic transformation in Africa. The experiences shared by the authors in this book will be a valuable resource for librarians across the world as they increase their collaborative efforts to promote the value of information literacy for students.

There appears to be no empirical-based method in the literature for estimating if an engineering change proposal (ECP) will occur or the dollar amount incurred. This paper aims to present an empirically based approach to address this shortfall.

Using the cost assessment data enterprise database, 533 contracts were randomly selected via a stratified sampling plan to build two regression models: one to predict the likelihood of a contract experiencing an ECP and the other to determine the expected median per cent increase in baseline contract cost if an ECP was likely. Both models adopted a stepwise approach. A validation set was placed aside prior to any model building.

Not every contract incurs an ECP; approximately 80 per cent of the contracts in the database did not have an ECP. The likelihood of an ECP and the additional amount incurred appears to be statistically independent of acquisition phase, branch of service, commodity, contract type or any other factor except for the basic contract amount and the number of contract line item numbers; both of these later variables equally affected the contract percentage increase because of an ECP. The combined model overall bested current anecdotal approaches to ECP withhold.

This paper both serves as a published reference point for ECP withholds in the archival forum and presents an empirically based method for determining per cent ECP withhold to use.

The introduction of “should cost” in 2011 required all Major Defense Acquisition Programs (MDAP) to create efficiencies and improvements to reduce a program’s “will-cost” estimate. Realistic “will-cost” estimates are a necessary condition for the “should cost” analysis to be effectively implemented. Owing to the inherent difficulties in establishing a program’s will-cost estimate, this paper aims to propose a new model to infuse realism into this estimate.

Using historical data from 73 Departments of Defense programs as recorded in the selected acquisition reports (SARs), the analysis uses mixed stepwise regression to predict a program’s cost from Milestone B (MS B) to initial operational capability (IOC).

The presented model explains 83 per cent of the variation in the program acquisition cost. Significant predictor variables include: projected duration (months from MS B to IOC); the amount of research development test and evaluation (RDT&E) funding spent at the start of MS B; whether the program is considered a fixed-wing aircraft; whether a program is considered an electronic system program; whether a program is considered ACAT I at MS B; and the program size relative to the total program’s projected acquisition costs at MS B.

The model supports the “will-cost and should-cost” requirement levied in 2011 by providing an objective and defensible cost for what a program should actually cost based on what has been achieved in the past. A quality will-cost estimate provides a starting point for program managers to examine processes and find efficiencies that lead to reduced program costs.

The Weapon Systems Acquisition Reform Act (WSARA) was enacted in 2009 to improve Department of Defense public procurement processes and limit cost overruns in major acquisition programs.

Seven years later, the authors investigate the effects of WSARA on cost overruns for major Air Force acquisition programs and then conduct an exploratory case study specifically targeting WSARA impacts on the Operations and Support phase of a program’s life cycle.

The authors find that while there are some positive impacts on cost overruns in limited areas, the majority of the models demonstrate either no statistically significant effect from WSARA or an increase in cost overruns post implementation.

These findings are consistent with much of the literature on the historical ineffectiveness of previous acquisition reforms to ameliorate cost overruns.

Bourdieu (1986) identified and explained the various forms of capital that exist in a society. He defines capital as “assets that are available for use in the production of further assets” (p. 241). The following explanation of capital provides background for making connections between Bourdieu's forms of capital and the plotlines the boys in this study employ for displaying literate identity.

The purpose of this paper is to understand how big data and predictive analytics (BDPA), as an organizational capability, can improve both visibility and coordination in humanitarian supply chains.

The authors conceptualize a research model grounded in contingent resource-based view where the authors propose that BDPA capabilities affect visibility and coordination under the moderating effect of swift trust. Using ordinary least squares regression, the authors test the hypotheses using survey data collected from informants at 205 international non-government organizations.

The results indicate that BDPA has a significant influence on visibility and coordination. Further, the results suggest that swift trust does not have an amplifying effect on the relationships between BDPA and visibility and coordination. However, the mediation test suggests that swift trust acts as a mediating construct. Hence, the authors argue that swift trust is not the condition for improving coordination among the actors in humanitarian supply chains.

The major limitation of the study is that the authors have used cross-sectional survey data to test the research hypotheses. Following Guide and Ketokivi (2015), the authors present arguments on how to address the limitations of cross-sectional data or use of longitudinal data that can address common method bias or endogeneity-related problems.

Managers can use this framework to understand: first, how organizational resources can be used to create BDPA, and second, how BDPA can help build swift trust and be used to improve visibility and coordination in the humanitarian supply chain.

This is the first research that has empirically tested the anecdotal and conceptual evidence. The findings make notable contributions to existing humanitarian supply chain literature and may be useful to managers who are contemplating the use of BDPA to improve disaster-relief-related activities.

Past research has shown that culture has significant effects on people's evaluation of and responses to risk. Despite this important role, the supply chain risk literature has been silent on this matter. The purpose of this paper is to examine the impact of cultural value orientations on managerial perception of and responses to a supply disruption risk.

The authors conduct a scenario-based experiment to investigate the effect of cultural value orientations – i.e. individualism-collectivism and uncertainty avoidance – on individuals' perception of risk and supplier switching intention in the face of a supply disruption.

The findings highlight the negative effect of individualism-collectivism on disruption risk perception and switching intention in high uncertain circumstances. However, these relationships are non-significant in relatively less uncertain situations. Moreover, the findings show that the impact of uncertainty avoidance on risk perception and supplier switching is positive and significant in both low and high uncertain circumstances.

Extant research has traditionally assumed that when confronted with disruption risks, managers make decisions using an economic utility model, to best serve the long-term objectives of the firm. This paper draws from advances of behavioural research to show that cultural value orientations influence such decisions through a mediating mechanism of subjective risk perception.