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The purpose of this paper is to focus on examining the research impact of papers written with and without funding. Specifically, the citation analysis method is used to compare the general and funded papers published in two leading international conferences, which are ACM SIGIR and ACM SIGKDD.

The authors investigate the number of general and funded papers to see whether the number of funded papers is larger than the number of general papers. In addition, the total citations and the number of highly cited papers with and without funding are also compared.

The analysis results of ACM SIGIR papers show that in most cases the number of funded papers is larger than the number of general papers. Moreover, the total captions, the average number of citations per paper, and the number of highly cited papers all reveal the superiority of funded papers over general papers. However, the findings are somewhat different for the ACM SIGKDD papers. This may be because ACM SIGIR began much earlier than ACM SIGKDD, which relates to the maturity of the research problems addressed in these two conferences.

The value of this paper is the first attempt at examining the research impact of general and funded research papers by the citation analysis method. The research impact of other research areas can be further investigated by other analysis methods.

Conference publications are an important aspect of research activities. There are generally both oral presentations and poster sessions at large international conferences. One can hypothesise that, for the same conferences, the papers presented in oral sessions should have a higher research impact than the papers presented in poster sessions. However, there has been no related study examining the validity of this hypothesis. In other words, the difference of research impact between papers presented orally or during poster sessions has not been discussed in literature. Therefore, the purpose of this paper is to conduct a citation analysis to compare the research impact of papers presented in oral and poster sessions.

In this paper, data from three leading conferences in the field of computer vision are examined, namely CVPR (2011 and 2012), ICCV (2011) and ECCV (2012). Several types of citation-related statistics are collected, including the number of highly cited papers (i.e. high number of citations) presented in oral and poster sessions, the total citations of both types of papers, the average citations of oral and poster papers, and the average citations of each frequently cited paper of both types.

There are three main findings. First, a larger proportion of highly cited papers are from oral sessions than poster sessions. Second, the average number of citations per paper is larger for those presented in oral sessions than poster sessions. Third, the average number of citations for highly cited papers presented in oral sessions is not necessarily greater than for the ones presented in poster sessions.

The originality of this paper is that it is the first attempt to examine the differences of citation impacts of conference papers presented in oral and poster sessions. The findings of this study will allow future bibliometrics research to further explore this related issue for longer periods and different fields.

The purpose of this paper is to review and explore the primary characteristics of the best papers, which have been selected by the Toulon-Verona Conference (TVC) Excellence in Services scientific committee for the period 2008-2016.

The study includes a review of the best papers (n = 51) selected by the TVC’s scientific committee from 2008 to 2016 and obtained through the TVC’s archives. The primary highlights of each paper include number of authors, authorship profile (i.e. lead author affiliation, gender, and geographic location), co-authors’ geographic locations, classification of the papers, research topics, varieties of research methods used, number of electronic downloads (as of June 2017), number of citations, and subject keywords. Coding sheet developed to ensure standardization, consistency and to ensure the relevant data were collected for the content analysis. Mixed methods analysis (analyze quantitative data qualitative and and vice versa) was used to provide descriptive statistics.

In total, 51 best papers have been selected by the TVC scientific committee and reflected 145 authors. Lead authors were from a total of 50 HEIs worldwide and one consultant (private sector). Six papers were self-authored while the 45 were multi-authored. The majority of the papers written by Italian authors (58.8 percent); followed by France, Greece, and Sweden (5.9 percent each); Australia, Portugal, Spain, and UK (4 percent each); Austria, Norway, Slovenia, and Vietnam (1.9 percent each). In total, 37 papers were classified as a research paper, 10 case studies, and 4 theoretical.

The analysis for the first time define methodological trends for the TVC’s best papers and suggest possible future research topic and methodological approach for research in the management field.

The findings are unique for the TVC conference, for the TQM’s special issue, which provide practical implications for researchers and conference organizers and contribute to the literature of analyzing published papers.

In editorial peer review systems of journals, one does not always accept the best papers. Due to different human perceptions, the evaluation of papers by peer review (for a journal) can be different from the impact that a paper has after its publication (measured by number of citations received) in this or another journal. This system (and corresponding problems) is similar to the information retrieval process in a documentary system. Also there, one retrieves not always the most relevant documents for a certain topic. This is so because the topic is described in the command language of the documentary system and this command does not always completely cover the “real topic” that one wants to describe. This paper aims to address this issue.

Based on this statement classical information retrieval evaluation techniques were applied to the evaluation of peer review systems. Basic in such an information retrieval evaluation are the notions of precision and recall and the precision‐recall‐curve. Such notions are introduced here for the evaluation of peer review systems.

The analogues of precision and recall are defined and their curve constructed based on peer review data from the journal Angewandte Chemie – International Edition and on citation impact data of accepted papers by this journal or rejected but published elsewhere papers. It is concluded that, due to the imperfect peer review process (based on human evaluation), if we want to publish a high amount of qualified papers (the ones we seek), several non‐qualified papers should also be accepted.

The authors conclude that, due to the imperfect peer review process (based on human evaluation), if we want to publish a high amount of qualified papers (the ones we seek), one will also accept several non‐qualified papers.

A comparative analysis of the characteristics of rejected manuscripts submitted for publication to the African Journal of Library, Archives and Information Science and manuscripts accepted for publication over a five year period was carried out. The study reveals that 145 manuscripts were rejected as opposed to eighty papers accepted for publication. The findings reveal that there were no remarkable differences with regards to status and affiliations between the authors of rejected and accepted papers. While information technology, archives, user studies, academic libraries and bibliometrics constituted the topics of papers mostly rejected, papers accepted were mainly in the areas of archives, information service, information technology and rural information. Most of the papers were rejected because they contributed nothing new to knowledge (65.5 per cent), used unreliable data (13.1 per cent) and lacked focus (13.1 per cent). Datedness of references was not used in rejecting papers because the editorial board policy is to update references of papers accepted for publication where necessary. The paper recommends the need for training institutions in Africa to strengthen the research and writing skills component of their curricula, as well as the regular scheduling of research and writing skills workshops by information organisations in the region.

Purpose and need for study: Considering that the impact of digitalisation on the energy industry is currently one of the hot topics, our focus was to systematically overview the literature on this subject and subtract the most relevant papers. This study may represent a base for future research on the impact digitalisation has on the efficiency of energy industries and the sustainable development of economies counting on this industry.

Methodology: The authors employed a methodology of bibliometric analysis to help us reveal the main concepts reflecting the relationship between digitalisation and sustainable development in the energy industry and also to identify the most cited papers in the literature.

Findings: The most important concepts are digitalisation and also digitisation, sustainability and sustainable development, energy efficiency, the internet of things and Industry 4.0. For the more focussed research in business, technological development, urban development, smart cities and renewable energies proved to be very important concepts. The co-authorship networks revealed as most important 10–20 papers, considering that our analysis was based on a comprehensive list of papers in all domains (116 papers indexed in Scopus) and on a list of academic papers published in Social Sciences or Business, Economics and Accounting domains (59 papers indexed in Scopus).

Practical implications: This study evidenced the authors with the most valuable research on the topic of digitalisation and sustainable development in the energy sector, helping us continue our research in the future, with a quantitative study that will base its literature review on the most accountable and cited papers published so far in the literature. The national plans and public policies for sustainable development have a common ground when they refer to energy industries. The investments and digital development need to have a positive social impact improving health and well-being for citizens, supporting the quality of life, based on a fair transition to low-carbon economies.

The paper provides an overview of research published in the innovation and operations management (IOM) literature on 15 methods for cost management in new product development, and it provides a comparison to an earlier review of the management accounting (MA) literature (Wouters & Morales, 2014).

This structured literature search covers papers published in 23 journals in IOM in the period 1990–2014.

The search yielded a sample of 208 unique papers with 275 results (one paper could refer to multiple cost management methods). The top 3 methods are modular design, component commonality, and product platforms, with 115 results (42%) together. In the MA literature, these three methods accounted for 29%, but target costing was the most researched cost management method by far (26%). Simulation is the most frequently used research method in the IOM literature, whereas this was averagely used in the MA literature; qualitative studies were the most frequently used research method in the MA literature, whereas this was averagely used in the IOM literature. We found a lot of papers presenting practical approaches or decision models as a further development of a particular cost management method, which is a clear difference from the MA literature.

This review focused on the same cost management methods, and future research could also consider other cost management methods which are likely to be more important in the IOM literature compared to the MA literature. Future research could also investigate innovative cost management practices in more detail through longitudinal case studies.

This review of research on methods for cost management published outside the MA literature provides an overview for MA researchers. It highlights key differences between both literatures in their research of the same cost management methods.

This paper examines the diffusion of Jerry Hausman's econometric ideas using citation counts, citing authors, and source journals of his most referenced citers. Bibliographic information and citation counts of references to econometrics papers were retrieved from Thomson Reuters Web of Science and analyzed to determine the various ways in which Hausman's ideas have spread in econometrics and related disciplines. Econometric growth analysis (Gompertz and logistic functions) is used to measure the diffusion of his contributions. This analysis reveals that the diffusion of Hausman's ideas has been pervasive over time and disciplines. For example, his seminal 1978 paper continues to be strongly cited along exponential growth with total cites mainly in econometrics and other fields such as administrative management, human resources, and psychology. Some of the more recent papers have a growth pattern that resembles that of the 1978 paper. This leads us to conclude that Hausman's econometric contributions will continue to diffuse in years to come. It was also found that five journals have published the bulk of the top cited papers that list Hausman as a reference, namely, Econometrica, Journal of Econometrics, Review of Economic Studies, Academy of Management Journal, and the Journal of Economic Literature. “Specification tests in econometrics” is Hausman's dominant contribution in this citation analysis. We found no previous research on the econometric modeling of citation counts as done in this paper. Thus, we expect to stimulate methodological improvements in future work.