VHB-JOURQUAL2: Method, Results, and Implications of the German Academic Association for Business Research's Journal Ranking

VHB-JOURQUAL represents the official journal ranking of the German Academic Association for Business Research. Since its introduction in 2003, the ranking has become the most influential journal evaluation approach in German-speaking countries, impacting several key managerial decisions of German, Austrian, and Swiss business schools. This article reports the methodological approach of the ranking’s second edition. It also presents the main results and additional analyses on the validity of the rating and the underlying decision processes of the respondents. Selected implications for researchers and higher-education institutions are discussed.

Is VHB-JOURQUAL2 a Good Measure of Scientific Quality? Assessing the Validity of the Major Business Journal Ranking in German-Speaking Countries

This study examines the question of whether the journal ranking VHB-JOURQUAL 2 can be considered as a good measure for the construct “scientific quality”. Various rankings in business research provide the database for the analysis. The correlations between theses rankings are used to assess the validity of VHB-JOURQUAL 2 along various validity criteria. The correlations with rankings that measure the same construct based on different methods show that VHB-JOURQUAL 2 has acceptable, but moderate convergent validity. The validity varies considerably across disciplines, showing that the heterogeneity of business administration is not sufficiently represented by this overall ranking. The variability is related to the variation in members per discipline represented by the German Association for Business Research. Furthermore, the measure shows a weak correlation with acceptance rates as an indicator of nomological validity in some disciplines.

Australian Library and Information Studies (LIS) researchers' ranking of LIS journals

The paper describes the processes and the outcomes of the ranking of LIS journal titles by Australia’s LIS researchers during 2007-8, firstly through the Australian federal government’s Research Quality Framework (RQF) process and then its replacement, the Excellence in Research for Australia (ERA) initiative. The requirement to rank the journals titles used came from discussions held at the RQF panel meeting held in February 2007 in Canberra, Australia. While it was recognised that the Web of Science (formerly ISI) journal impact approach of journal acceptance for measures of research quality and impact might not work for LIS, it was apparent that this model would be the default if no other ranking of journal titles became apparent. Although an increasing number of LIS and related discipline journals were appearing in the Web of Science listed rankings, the number was few and it was thus decided by the Australian LIS research community to undertake the ranking exercise.

Problematising the construction of journal quality:an engagement with the mainstream

Journal ranking studies have generally adopted citation techniques or academic perceptions as the basis for assessing journal quality. They have traditionally been a source of information about potential research outlets, new journals, and an aid to developing a consensus about the relative merit of publications for promotion decisions. The aim of our research is to address specific shortcomings in the conventional literature and construct an alternative view of how we might more appropriately assess journal ‘quality’. We attempt to engage with the conventional literature by applying an approach that does not privilege either citation techniques or academic perceptions. We have adopted from Zeff (1996) an objective measure of academic journal library holdings, which Zeff describes as a ‘market test’. Our construct provides evidence of an important difference in journal holdings for the Australasian region that could significantly influence further research on journal quality. The method itself is entirely mundane but may be considered to reflect a complex of historic and more contemporary variables which impact on academic and administrative decisions, influencing the makeup of academic library holdings and providing a proxy for journal ‘quality’.

A paradigm sensitive perspective on the ranking of accounting journals:a web-based survey approach

This paper reports the results of a web-based study of the perceptions of accounting journals in Australasia. Journal ranking studies have generally adopted citation techniques or used academics’ perceptions as the basis for assessing journal quality. Our research contributes to the existing literature by conducting a survey of academics in Australasia using a web-based instrument. The analysis indicates that the perceptions of the so-called “elite” accounting journals have become unsettled. The research highlights the emergence of more recent, alternative paradigm journals (CPA and AAAJ) as both highly ranking.

Rank and file : assessing research quality in Australia

In this paper, the author describes recent developments in the assessment of research activity and publication in Australia. Of particular interest to readers will be the move to rank academic journals. Educational Philosophy and Theory (EPAT) received the highest possible ranking, however, the process is far from complete. Some implications for the field, for this journal and particularly, for the educational foundations are discussed.

Bibliometrics Datasheets

One page summaries on: Bibliometrics available from the Web of Science/Knowledge & Journal Ranking Tools

Gestão de periódicos científicos: um estudo com revistas da área de administração

A criação e popularização da Internet têm provocado sérias mudanças no campo da comunicação. Especificamente na comunicação científica, o uso do meio eletrônico permite agilizar as etapas do processo editorial, bem como facilitar a criação, disseminação, pesquisa e uso de informação científica. Entretanto, a incorporação de tecnologias é também desafiadora, pois exige diversas mudanças no modelo de gestão de periódicos científicos. Esse é composto basicamente por aspectos científicos (certificação de conteúdo visando a seleção e divulgação de conhecimento de qualidade), administrativos (produção editorial e gráfica, gestão administrativa e financeira, comunicação e marketing) e financeiros (modelo de rendimentos) que precisam estar alinhados para que o periódico possa cumprir seu objetivo. A presente pesquisa teve como principal objetivo analisar a gestão editorial de periódicos científicos da área de Administração no contexto brasileiro e propor uma tipologia de seus modelos de gestão. Adotou-se de uma abordagem qualitativa e foram utilizados métodos de pesquisa documental, entrevista e análise bibliométrica para, respectivamente, identificação do contexto, descrição dos modelos de gestão editorial e cálculo do impacto dos periódicos selecionados para o estudo (Revista de Administração de Empresas, Revista de Administração Contemporânea, Revista de Administração da USP, Organizações & Sociedade e Brazilian Administration Review). Identificou-se que os periódicos selecionados apresentam impacto (medido por meio de citações) relativamente alto quando comparados aos periódicos estrangeiros avaliados pelo Qualis da área de Administração, Contabilidade e Turismo. Percebe-se que o modelo de gestão dos periódicos está fortemente vinculado ao tipo de Instituição Mantenedora desse (Associação Científica, Instituição de Ensino Superior (IES) Pública, IES Privada), a qual influencia nas questões financeiras, administrativas e científicas das revistas. Espera-se que os resultados da pesquisa possam contribuir não só para os editores de revistas científicas, mas também para os responsáveis por decisões que se referem às políticas de avaliação e fomento de periódicos científicos no Brasil.

La comunicación científica en neumología y cirugía torácica relacionada con la medicina del deporte

[ES] Este capítulo pretende dar una visión general del movimiento del Acceso Abierto y, por ende, su aplicabilidad a los investigadores del área de neumología y cirugía torácica interesados en la medicina el deporte. Nos basaremos en dos conjuntos de publicaciones, por una parte las incluidas en el Journal Citation Report, Science Edition, 2011 (Subject: Respiratory System)1; y por otra las incluidas en el Scimago Journal Ranking, 2011 (Subject: Pulmonary and Respiratory Medicine)2. Analizaremos el estado de la cuestión en relación al modelo del Acceso Abierto de cada publicación utilizando la herramienta Sherpa/Romeo3 para conocer la situación de cadapublicación con respecto al modelo antes mencionado.

Brief reflections

Purpose – The purpose of this editorial is to explicitly recognise the first issue of EJM completely made up of submissions received under the new editorial team of Lee and Greenley, operating since January 2008. The authors also seek to make some broader points about academic review, and journal ranking. Design/methodology/approach – The authors provide some conceptual thinking regarding journal review, and academic ranking of journals. Findings – The authors propose that it is potentially dangerous to restrict the perception of top quality work to only that published in a limited selection of journals, and that research needs to be judged on its own merits. Research limitations/implications – These thoughts are preliminary and intended to spark thinking and debate, not to represent editorial policy. Owing to space constraints, the coverage of many issues is necessarily brief. Practical Implications – Marketing researchers should find these thoughts at the very least stimulating, and may wish to investigate these issues further. Originality/value – The editorial should provide some interesting food for thought for marketing researchers.

Multi-criteria ranking and source apportionment of fine particulate matter in Brisbane, Australia

This paper reports the application of multicriteria decision making techniques, PROMETHEE and GAIA, and receptor models, PCA/APCS and PMF, to data from an air monitoring site located on the campus of Queensland University of Technology in Brisbane, Australia and operated by Queensland Environmental Protection Agency (QEPA). The data consisted of the concentrations of 21 chemical species and meteorological data collected between 1995 and 2003. PROMETHEE/GAIA separated the samples into those collected when leaded and unleaded petrol were used to power vehicles in the region. The number and source profiles of the factors obtained from PCA/APCS and PMF analyses were compared. There are noticeable differences in the outcomes possibly because of the non-negative constraints imposed on the PMF analysis. While PCA/APCS identified 6 sources, PMF reduced the data to 9 factors. Each factor had distinctive compositions that suggested that motor vehicle emissions, controlled burning of forests, secondary sulphate, sea salt and road dust/soil were the most important sources of fine particulate matter at the site. The most plausible locations of the sources were identified by combining the results obtained from the receptor models with meteorological data. The study demonstrated the potential benefits of combining results from multi-criteria decision making analysis with those from receptor models in order to gain insights into information that could enhance the development of air pollution control measures.

Service bid comparisons by fuzzy ranking in open railway market timetabling

In an open railway access market, the Infrastructure Provider (IP), upon the receipts of service bids from the Train Service Providers (TSPs), assigns track access rights according to its own business objectives and the merits of the bids; and produces the train service timetable through negotiations. In practice, IP chooses to negotiate with the TSPs one by one in such a sequence that IP optimizes its objectives. The TSP bids are usually very complicated, containing a large number of parameters in different natures. It is a difficult task even for an expert to give a priority sequence for negotiations from the contents of the bids. This study proposes the application of fuzzy ranking method to compare and prioritize the TSP bids in order to produce a negotiation sequence. The results of this study allow investigations on the behaviors of the stakeholders in bid preparation and negotiation, as well as evaluation of service quality in the open railway market.

Bayesian methodology incorporating expert judgment for ranking countermeasure effectiveness under uncertainty: Example applied to at grade railroad crossings in Korea

This paper describes the formalization and application of a methodology to evaluate the safety benefit of countermeasures in the face of uncertainty. To illustrate the methodology, 18 countermeasures for improving safety of at grade railroad crossings (AGRXs) in the Republic of Korea are considered. Akin to “stated preference” methods in travel survey research, the methodology applies random selection and laws of large numbers to derive accident modification factor (AMF) densities from expert opinions. In a full Bayesian analysis framework, the collective opinions in the form of AMF densities (data likelihood) are combined with prior knowledge (AMF density priors) for the 18 countermeasures to obtain ‘best’ estimates of AMFs (AMF posterior credible intervals). The countermeasures are then compared and recommended based on the largest safety returns with minimum risk (uncertainty). To the author's knowledge the complete methodology is new and has not previously been applied or reported in the literature. The results demonstrate that the methodology is able to discern anticipated safety benefit differences across candidate countermeasures. For the 18 at grade railroad crossings considered in this analysis, it was found that the top three performing countermeasures for reducing crashes are in-vehicle warning systems, obstacle detection systems, and constant warning time systems.

Multi-criteria ranking and receptor modelling of airborne fine particles at three sites in the Pearl River Delta region of China

The multi-criteria decision making methods, Preference METHods for Enrichment Evaluation (PROMETHEE) and Graphical Analysis for Interactive Assistance (GAIA), and the two-way Positive Matrix Factorization (PMF) receptor model were applied to airborne fine particle compositional data collected at three sites in Hong Kong during two monitoring campaigns held from November 2000 to October 2001 and November 2004 to October 2005. PROMETHEE/GAIA indicated that the three sites were worse during the later monitoring campaign, and that the order of the air quality at the sites during each campaign was: rural site > urban site > roadside site. The PMF analysis on the other hand, identified 6 common sources at all of the sites (diesel vehicle, fresh sea salt, secondary sulphate, soil, aged sea salt and oil combustion) which accounted for approximately 68.8 ± 8.7% of the fine particle mass at the sites. In addition, road dust, gasoline vehicle, biomass burning, secondary nitrate, and metal processing were identified at some of the sites. Secondary sulphate was found to be the highest contributor to the fine particle mass at the rural and urban sites with vehicle emission as a high contributor to the roadside site. The PMF results are broadly similar to those obtained in a previous analysis by PCA/APCS. However, the PMF analysis resolved more factors at each site than the PCA/APCS. In addition, the study demonstrated that combined results from multi-criteria decision making analysis and receptor modelling can provide more detailed information that can be used to formulate the scientific basis for mitigating air pollution in the region.

A hybrid approach to combining CART and logistic regression for stock ranking

The benefits of applying tree-based methods to the purpose of modelling financial assets as opposed to linear factor analysis are increasingly being understood by market practitioners. Tree-based models such as CART (classification and regression trees) are particularly well suited to analysing stock market data which is noisy and often contains non-linear relationships and high-order interactions. CART was originally developed in the 1980s by medical researchers disheartened by the stringent assumptions applied by traditional regression analysis (Brieman et al. [1984]). In the intervening years, CART has been successfully applied to many areas of finance such as the classification of financial distress of firms (see Frydman, Altman and Kao [1985]), asset allocation (see Sorensen, Mezrich and Miller [1996]), equity style timing (see Kao and Shumaker [1999]) and stock selection (see Sorensen, Miller and Ooi [2000])...