Search results

The main purpose of this paper is to describe the use of e-resources at Jawaharlal Nehru University (JNU), those are being offered through the University Grant Commission – Information and Library Network (UGC-INFONET) consortium. Statistical techniques are applied on usage reports generated by e-resources vendors/publishers to understand trend and seasonality in usages of e-resources in academic libraries. The researchers evaluated gain in popularity of e-resources and drew a comparison in use of various databases of e-resources in terms of volume of downloads over a period of three years. The study would help in designing an instrument to evaluate utilization of e-resources. The cross comparison of databases helps in identifying e-resources, which have been optimally used.

The present study used quantitative approach to express utilization of e-resources in terms of number of downloads of full text research papers from Project Muse, Cambridge University Press, Oxford University Press, Springer Links, Taylor and Francis and JSTOR databases, accessible through the UGC-INFONET consortium. The investigation is based on secondary data of usage statistics made available by the UGC-INFONET consortium. The descriptive statistics techniques have been used in the initial phase of the investigation to understand trend in utilization of e-resources and examine robustness of various statistical tests to identify most appropriate tests for the latter phase of the investigation. The robustness analysis has been recommended for graphical and non-parametric tests for advanced investigation, in the latter phase of the study. The with-in cohort analysis techniques investigates numbers of monthly downloads from each database for a period of three years, i.e. 2008-2010 to explain seasonality in volume of downloads of e-resources.

e-Resources have been gaining popularity gradually in academic libraries; this trend is in tune with gaining of popularity of web-based intellectual resources in other sectors. The study established need of library consortium for sharing resources and subscription fee. The investigation proves significant association between numbers of downloads of e-resources from different databases in the same period; thus gain in popularity of one database encourages readers to explore other databases. The study indicates seasonality effect in the usages of e-resources in academic libraries. This seasonality effect is contemporary to the academic calendar. There are large numbers of downloads just before the examinations, which are held twice in a year and negligible number of downloads during and around long summer study breaks. Thus, the bandwidth rendered to the university is not consistently used during the academic session. The coverage of databases in terms of disciplines and numbers of journals varies to great extent. There is overlapping in the coverage of databases. The strength of students and their demands for scholarly works also vary across disciplines, thus cross comparison of numbers of downloads from databases has little meaning until impact of these three parameters are not controlled in the investigation of utilization of e-resources.

The literature shows that no study has been carried out for the use of e-resources by researchers of JNU.

The purpose of this paper is to propose an uncertainty representation and information measurement method for characterizing grey numbers, estimating their internal laws and solving how to generate them based on available information data in the real world.

This paper attempts to present a new mathematical methodology in the field of grey numbers. The generalized grey number is defined at first with the concept of information elements and information samples. Then, the probability function of a grey number is proposed to describe the internal law of the grey number. By finding the feasible information elements from information samples, the probability calculation method for the true value of a grey number is presented. Finally, some numerical examples and comparisons are carried out to assess the efficiency and performance.

The results show that the uncertainty representation and information measurement method is effective in characterizing and quantifying grey numbers based on available information data.

Uncertain information is widespread in practical applications. In this manuscript, the grey number is represented and its information is measured through some existing data in discrete or interval forms, which provides a grey information concept that utilizes information elements to represent uncertainty in the real world.

The proposal presents a novel data-driven method to generate a grey number representation from available data rather than the classical whitening weight function constructed from experience, and the dynamic evolution process of a grey number is measured by the increase of information samples.

Usually price information is presented as arabic numerals and consumers’ brand selections often involve comparative judgments of product prices. One important issue concerns whether consumers process price information in a similar way to that found in numerical cognition research. Since numerical processing is a learned, primarily automatic process, whether such processing interferes with or facilitates the processing of price information is an important question. It is important because a better understanding of how people process price information has implications for how managers should establish and communicate prices. This paper reports two studies that compare the processing of price with other numerical information.

Fuzzy numbers are often used to represent non-probabilistic uncertainty in engineering, decision-making and control system applications. In these applications, fuzzy arithmetic operations are frequently used for solving mathematical equations that contain fuzzy numbers. There are two approaches proposed in the literature for implementing fuzzy arithmetic operations: the α-cut approach and the extension principle approach using different t-norms. Computational methods for the implementation of fuzzy arithmetic operations in different applications are also proposed in the literature; these methods are usually developed for specific types of fuzzy numbers. This chapter discusses existing methods for implementing fuzzy arithmetic on triangular fuzzy numbers using both the α-cut approach and the extension principle approach using the min and drastic product t-norms. This chapter also presents novel computational methods for the implementation of fuzzy arithmetic on triangular fuzzy numbers using algebraic product and bounded difference t-norms. The applicability of the α-cut approach is limited because it tends to overestimate uncertainty, and the extension principle approach using the drastic product t-norm produces fuzzy numbers that are highly sensitive to changes in the input fuzzy numbers. The novel computational methods proposed in this chapter for implementing fuzzy arithmetic using algebraic product and bounded difference t-norms contribute to a more effective use of fuzzy arithmetic in construction applications. This chapter also presents an example of the application of fuzzy arithmetic operations to a construction problem. In addition, it discusses the effects of using different approaches for implementing fuzzy arithmetic operations in solving practical construction problems.

This paper aims to examine how managers use planning meetings to coordinate their actions in light of an uncertain future. Existing literature suggests that coordination under uncertainty requires a “dynamic” approach to planning, which is often realized in the form of rolling forecasts and frequent cross-functional exchange. Not so much is known, however, about the micro-level process through which coordination is achieved. This paper suggests that a sensemaking perspective and a focus on “planning talk” are particularly helpful to understand how actors come to a shared understanding of an uncertain future, based upon which they can coordinate their actions.

This paper builds upon a qualitative case study in the Austrian production site of an international manufacturing company. Drawing on a sensemaking perspective, the paper analyses monthly held “planning meetings” in which sales and production managers discuss sales forecasts for the coming months and talk about how to align demand and supply.

The authors show how collective sensemaking unfolds in planning meetings and highlight the role that “plausibilization” of expectations, “calculative reasoning” and “filtering” of information play in this process. This case analysis also sheds light on the challenges that such a sensemaking process may be subject to. In particular, this paper finds that competing hierarchical accountabilities may influence the collective sensemaking process and render coordination more challenging.

The paper contributes to the hitherto limited management accounting and control literature on operational planning, especially its coordination function. It also extends the management accounting and control literature that draws on the concept of sensemaking. The study shows how actors involved in planning meetings create a common understanding of the current and future situation and what sensemaking mechanisms facilitate this process. In this respect, this paper is particularly interested in the role that accounting and other types of numbers can play in this context. Furthermore, it theorizes on the conditions that allow managers to overcome concerns with hierarchical accountabilities and enact socializing forms of accountability, which is often necessary to come to agreements on actions to be taken.

It is characteristic of the modern English universities that a close relationship exists between the library and the teaching departments. The fact that the library forms an integral part of the academic community, in daily, even hourly, touch with the teaching staff, has a profound bearing on every aspect of library policy. The academic staff take an active interest in the library, particularly in those parts of the library serving the teaching and research carried on in their own departments, and it is indeed not unusual for a professor to show as great a concern for the actual arrangement of the books on the shelves as for the addition of the right books and periodicals to the book stock.

The purpose of this study is to numerically analyze the mixed convection and entropy generation in an annulus with a rotating heated inner cylinder for single-wall carbon nanotube (SWCNT)–water nanofluid flow using local thermal nonequilibrium (LTNE) model. An examination of the system behavior is presented considering the heat-generating solid phase inside the porous layer partly filled at the inner surface of the outer cylinder.

The discretized governing equations for nanofluid and porous layer by means of the finite volume method are solved by using the SIMPLE algorithm.

It is found that the buoyancy force and rotational effect have an important impact on the change of the strength of streamlines and isotherms for nanofluid flow. The minimum average Nusselt number on the inner cylinder is obtained at Ra$_E$ = 10$^4$, and the minimum total entropy generation is found at Re = 400 for given parameters. The entropy generation minimization is determined in case of different nanoparticle volume fractions. It is observed that at the same external Rayleigh numbers, the LTNE condition obtained with internal heat generation is very different from that without heat generation.

To the best of the authors’ knowledge, there is no previous paper presenting mixed convection and entropy generation of SWCNT–water nanofluid in a porous annulus under LTNE condition. The addition of nanoparticles to based fluid leads to a decrease in the value of minimum total entropy generation. Thus, using nanofluid has a significant role in the thermal design and optimization of heat transfer applications.

The purpose of this paper is to present an emergent model showing the change potential inherent in the mirroring of time‐space bound metrics and numbers in management accounting (MA) and other cognitive frames.

An observation‐based qualitative field study of a change project in a large manufacturing company is used as the basis for the analysis.

The empirical study shows that as actors recurrently mirror time‐space bound metrics/numbers in MA and other cognitive frames, three forms of ambiguity may occur. Definitional ambiguities occur as actors' extant MA frame cannot fully account for the metric as such, while representational ambiguities occur as actors perceive uncertainties as to what a particular number stands for “in reality”. Operational ambiguities, finally, occur as actors perceive uncertainties as to how time‐space bound numbers can be “causally” explained. In the emergent model, the paper shows how these different forms of ambiguity constitute important sources of critical and collective reflection of, and subsequent change in, both metrics and MA and other cognitive frames.

Through identifying and elaborating on the change potential inherent in the interplay between cognitive frames and time‐space bound metrics and numbers, the study adds a partial, yet previously largely unexplored answer to the paradox of embedded agency in a MA context (i.e. how actors may change existing cognitive (MA) frames when their interpretations and actions are largely constrained and shaped by these very frames). Also, the study shows that it may not necessarily be the content of MA information per se that triggers critical reflection and structural MA change, but also the perceived ambiguities that such information use may engender.

VINE is a Very Informal Newsletter produced three times a year by the Information Officer for Library Automation and financed by the British Library Research & Development Department. It is issued free of charge on request to interested librarians, systems staff and library college lecturers. VINE'S objective is to provice an up‐to‐date picture of work being done in U.K. library automation which has not been reported elsewhere.