World knowledge competitiveness index 2002:benchmarking the globes high-performing regions

The World Knowledge Competitiveness Index 2002 is the first composite and relative measure of the knowledge economies of the globe's best performing regions. It represents an integrated and overall benchmark of the knowledge capacity, capability and sustainability of each region and the extent to which this knowledge is translated into economic value and transferred into the wealth of the citizens of each region. This publication has over 50 pages and covers the following sections: The Economics of Knowledge Competitiveness The Rankings - World Knowledge Competitiveness Index Human Capital Components Knowledge Capital Components Regional Economy Outputs Knowledge Sustainability Components Driving Knowledge-Based Growth

Exploring diversity in accounting through Faculty journal perceptions

The accounting research community has frequently been described as being both diverse and focused on local issues. At the same time, increasing pressure is being placed on researchers to publish in internationally highly regarded journals. Since faculty evaluations depend on journal rankings, such rankings need to take into account the diversity of the research community. Therefore, this study examines how contextual factors such as a researcher's location and research orientation may influence journal quality perceptions and readership patterns based on an international sample of 1,230 accounting academics. The perceived quality of journals is measured across a number of dimensions, including journal familiarity, average rank position, percent of respondents who classify a journal as top tier, and readership. The results support that a significant variation in journal quality perceptions exists based on a researcher's geographic origin, research orientation, and affiliation with a journal.

Faculty perceptions and readership patterns of finance journals:a global view

Journal rankings are frequently used as a measure of both journal and author research quality. Nonetheless, debates frequently arise because journal rankings do not take into account the underlying diversity of the finance research community. This study examines how factors such as a researcher's geographic origin, research interests, seniority, and journal affiliation influence journal quality perceptions and readership patterns. Based on a worldwide sample of 862 finance academics, we find remarkable consistency in the rankings of top journals. For the remaining journals, perception of journal quality differs depending on the researcher's geographic origin, research interests, seniority, and journal affiliation.

Insights into factors affecting production and operations management (POM) journal evaluation

The paper extends the current literature on peer review journal evaluations by providing a number of insights based on the diversity of Production and Operations Management (POM) research. We provide peer review evaluations for POM research outlets, based on a sampling frame that includes a large number of POM researchers worldwide. More specifically, the paper develops and tests various hypotheses as to whether the perceived quality and relevance of a journal is affected by such factors as: (i) nature of research work (empiricists versus modelers), (ii) society membership, (iii) research productivity, (iv) geographical location, and (v) seniority. Our findings suggest that caution must be exercised when utilizing existing POM journal rankings, as some factors, particularly the difference between empiricists and modelers, may influence journal evaluation. These must be considered when addressing issues such as faculty promotions, tenure, and salary. © 2006 Elsevier B.V. All rights reserved.

Perceptual differences of marketing journals:a worldwide perspective

The practice of evaluating faculty and business schools based on their journal publications has increased the emphasis on research output in peer reviewed journals. Since journal standings are a frequently debated issue, this study seeks to examine the perceptual differences of journals between different segments of marketing academics. Based on a worldwide online survey, journals are assessed in terms of four subjective quality metrics: journal familiarity, average rank position, percent of respondents who classify a journal as top tier, and readership. It is demonstrated that an individual's geographic origin, research interests or journal affiliation can have a significant impact on journal rankings.

The role of texture in shape from shading: are humans biased towards seeing relief textures?

When a textured surface is modulated in depth and illuminated, the level of illumination varies across the surface, producing coarse-scale luminance modulations (LM) and amplitude modulation (AM) of the fine-scale texture. If the surface has an albedo texture (reflectance variation) then the LM and AM components are always in-phase, but if the surface has a relief texture the phase relation between LM and AM varies with the direction and nature of the illuminant. We showed observers sinusoidal luminance and amplitude modulations of a binary noise texture, in various phase relationships, in a paired-comparisons design. In the first experiment, the combinations under test were presented in different temporal intervals. Observers indicated which interval contained the more depthy stimulus. LM and AM in-phase were seen as more depthy than LM alone which was in turn more depthy than LM and AM in anti-phase, but the differences were weak. In the second experiment the combinations under test were presented in a single interval on opposite obliques of a plaid pattern. Observers were asked to indicate the more depthy oblique. Observers produced the same depth rankings as before, but now the effects were more robust and significant. Intermediate LM/AM phase relationships were also tested: phase differences less than 90 deg were seen as more depthy than LM-only, while those greater than 90 deg were seen as less depthy. We conjecture that the visual system construes phase offsets between LM and AM as indicating relief texture and thus perceives these combinations as depthy even when their phase relationship is other than zero. However, when different LM/AM pairs are combined in a plaid, the signals on the obliques are unlikely to indicate corrugations of the same texture, and in this case the out-of-phase pairing is seen as flat. [Supported by the Engineering and Physical Sciences Research Council (EPSRC)].

University ranking as social exclusion

In this article we explore the dual role of global university rankings in the creation of a new, knowledge-identified, transnational capitalist class and in facilitating new forms of social exclusion.We examine how and why the practice of ranking universities has become widely defined by national and international organisations as an important instrument of political and economic policy. We consider how the development of university rankings into a global business combining social research, marketing and public relations, as a tangible policy tool that narrowly redefines the social purposes of higher education itself. Finally, it looks at how the influence of rankings on national funding for teaching and research constrains wider public debate about the meaning of ‘good’ and meaningful education in the UK and other national contexts, particularly by shifting the debate away from democratic publics upward into the elite networked institutions of global capital. We conclude by arguing that, rather than regarding world university rankings as a means to establish criteria of educational value, the practice may be understood as an exclusionary one that furthers the alignment of higher education with neoliberal rationalities at both national and global levels.

Consumer ethnocentrism in the German market

Purpose - International marketing researchers have long been concerned with determining whether consumers are predisposed towards a preference for domestic products, as opposed to foreign products. The purpose of this paper is to assess such a domestic-country bias (DCB) in the German market. Design/methodology/approach - This study empirically investigates DCB across six countries and 14 product categories in the Germany market. By so doing, it replicates an earlier study conducted in the UK. Ordered logit analysis was employed as well as multidimensional unfolding to present results. Findings - As in the study conducted in the UK, there is in general a strong DCB in the German market. However, it differs largely across the 14 product categories. Results indicate that consumer preference rankings can best be explained by a combination of demographic variables and country-of-origin effects. Practical implications - Results indicate that domestic firms in Germany can well rely on a safeguarding effect when marketing their products. At the same time, managers from foreign countries cannot rely on consumer ethnocentrism as a reliable indicator of the inclination of consumers to downgrade their products. Originality/value - This study confirms some findings from the UK. However, results from Germany indicate that at least economic competitiveness of the country-of-origin plays a role in determining respondents' judgments. This study underlines the value of replication studies in cross-cultural settings in particular.

Reputation and performance in large law firms

Reputation is a signalling device that serves as a proxy for the quality of a firm’s products, strategies and employees relative to its competitors, when communicating with clients and other stakeholders. It is especially important for professional service firms because of the complex and intangible nature of their service and because of the advantages it confers in the market for high-quality professional staff. This paper extends and refines existing research on reputation which shows positive returns to reputation for professional service firms. We use different rankings of the top 50 law firms in the UK to measure reputation and examine their relationship with financial performance as expressed in firm revenue and profits. We find positive but diminishing returns to reputation even within this group and we find a stronger relationship between reputation and profits than fee income. We conclude that reputation may be an important source of competitive advantage for leading firms but it seems to offer little leverage for others. If these results are generalizable across other professional sectors this raises the question of how the majority of firms can differentiate themselves.

Aggregating preference ranking with fuzzy Data Envelopment Analysis

Selecting the best alternative in a group decision making is a subject of many recent studies. The most popular method proposed for ranking the alternatives is based on the distance of each alternative to the ideal alternative. The ideal alternative may never exist; hence the ranking results are biased to the ideal point. The main aim in this study is to calculate a fuzzy ideal point that is more realistic to the crisp ideal point. On the other hand, recently Data Envelopment Analysis (DEA) is used to find the optimum weights for ranking the alternatives. This paper proposes a four stage approach based on DEA in the Fuzzy environment to aggregate preference rankings. An application of preferential voting system shows how the new model can be applied to rank a set of alternatives. Other two examples indicate the priority of the proposed method compared to the some other suggested methods.

Efficiency analysis of Islamic banks:a case of Gulf Cooperation Council (GCC)

Although considerable effort has been invested in the measurement of banking efficiency using Data Envelopment Analysis, hardly any empirical research has focused on comparison of banks in Gulf States Countries This paper employs data on Gulf States banking sector for the period 2000-2002 to develop efficiency scores and rankings for both Islamic and conventional banks. We then investigate the productivity change using Malmquist Index and decompose the productivity into technical change and efficiency change. Further, hypothesis testing and statistical precision in the context of nonparametric efficiency and productivity measurement have been used. Specially, cross-country analysis of efficiency and comparisons of efficiencies between Islamic banks and conventional banks have been investigated using Mann-Whitney test.

Community relation discovery by named entities

Discovering who works with whom, on which projects and with which customers is a key task in knowledge management. Although most organizations keep models of organizational structures, these models do not necessarily accurately reflect the reality on the ground. In this paper we present a text mining method called CORDER which first recognizes named entities (NEs) of various types from Web pages, and then discovers relations from a target NE to other NEs which co-occur with it. We evaluated the method on our departmental Website. We used the CORDER method to first find related NEs of four types (organizations, people, projects, and research areas) from Web pages on the Website and then rank them according to their co-occurrence with each of the people in our department. 20 representative people were selected and each of them was presented with ranked lists of each type of NE. Each person specified whether these NEs were related to him/her and changed or confirmed their rankings. Our results indicate that the method can find the NEs with which these people are closely related and provide accurate rankings.

Supply management:is it a discipline?

Purpose – To examine management literature for guidance on what constitutes a discipline. To examine supply management publications to determine whether the field constitutes a discipline or an emerging discipline. To contribute a structured evaluation to the body of supply management theory/discipline development knowledge. Design/methodology/approach – Literature review of what constitutes a discipline and an initial assessment of whether supply management is a discipline. Development of research questions used to design tests, using combinations of qualitative pattern matching, journal quality rankings, and social science citations index impact factor. Application of the tests, to evaluate field coherence, quality and the existence of a discipline-debate, to determine whether supply management is an emerging discipline. Findings – An initial literature review finds supply management not to be a discipline, as the field lacks quality of theoretical development and discussion, and coherence. Tests for increasing evidence of coherence, quality and impact yield positive results, indicating that supply management is progressing in its theoretical development. The test findings combined with the existence of the start of a discipline-debate indicate that supply management should be judged to be an emerging discipline. Originality/value – Drawing from the management literature, the paper provides a unique structured evaluation of the field of supply management, finding it not to be a discipline, but showing evidence of being an emerging discipline.

The global competitiveness of regions

The aim of this book is to consider theoretically the notion of the global competitiveness of regions, as well as giving attention as to how such competitiveness may be empirically measured. With this in mind, the book has three specific objectives: first, to place the concept of regional competitiveness within the context of regional economic development theory; second, to present a rationale and method for quantifying the global competitiveness of regions; and, third, to undertake the most geographically widespread analysis of regional competitiveness differences across the globe. With regard to the third goal, the analysis incorporates more than 500 regions across Europe, North and South America, Asia-Pacific, the Middle East, and the so-called BRIC economies of Brazil, Russia, India, and China. The importance of the concept of competitiveness has increased rapidly in recent years, with the issues surrounding it becoming, at the same time, more empirically refined and theoretically complex. The focus on regions reflects the growing consensus that they are the primary spatial units that compete to attract investment, and it is at the regional level that knowledge is circulated and transferred, resulting in agglomerations, or clusters, of industrial and service sector enterprises. This growing acknowledgement of the region’s role as a key spatial unit of organisation has led to attention turning to competitiveness at a more regional level. The book explores the results of the World Competitiveness Index of Regions (WCIR), covering the rankings and results of the 2014 edition. The WCIR provides a tool for analysing the development of a range of regional economies across the globe. It enables an illustration of the changing patterns of regional competitiveness on the international stage to be generated. In fundamental terms, the WCIR aims to produce an integrated and overall benchmark of the knowledge capacity, capability, and sustainability of each region, and the extent to which this knowledge is translated into economic value and transferred into the wealth of the citizens of each region.

Exploiting heterogeneous scientific literature networks to combat ranking bias:evidence from the computational linguistics area

It is important to help researchers find valuable papers from a large literature collection. To this end, many graph-based ranking algorithms have been proposed. However, most of these algorithms suffer from the problem of ranking bias. Ranking bias hurts the usefulness of a ranking algorithm because it returns a ranking list with an undesirable time distribution. This paper is a focused study on how to alleviate ranking bias by leveraging the heterogeneous network structure of the literature collection. We propose a new graph-based ranking algorithm, MutualRank, that integrates mutual reinforcement relationships among networks of papers, researchers, and venues to achieve a more synthetic, accurate, and less-biased ranking than previous methods. MutualRank provides a unified model that involves both intra- and inter-network information for ranking papers, researchers, and venues simultaneously. We use the ACL Anthology Network as the benchmark data set and construct the gold standard from computer linguistics course websites of well-known universities and two well-known textbooks. The experimental results show that MutualRank greatly outperforms the state-of-the-art competitors, including PageRank, HITS, CoRank, Future Rank, and P-Rank, in ranking papers in both improving ranking effectiveness and alleviating ranking bias. Rankings of researchers and venues by MutualRank are also quite reasonable.