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The purpose of this study is to improve supplier performance and strategic sourcing decisions by integrating jobshop scheduling, inventory management and agile new product development. During the COVID-19 pandemic, the organizations have struggled a lot to maintain the supplier performance and strategic sourcing decisions in the organizational benefit. However, in this context, the organization’s agile new product development (ANPD) process must be aligned with this requirement by maintaining the inventory and jobshop scheduling. As a result, identifying ANPD indicators, performance metrics and developing a structural framework to guide practitioners at various stages for smooth adoption is essential to improve the overall performance.

A comprehensive literature review is conducted to identify jobshop scheduling, inventory management and ANPD indicators along with the performance metrics, and the hierarchical structure is developed with the help of expert opinion. The modified stepwise weight assessment ratio analysis (SWARA) and weighted aggregated sum product assurance (WASPAS) techniques, along with expert judgement, are used in this study to calculate the weights of the indicators and the ranking of the performance metrics.

As per the weight computation by SWARA method, the strategy indicators have the highest relative weight, followed by the product design indicators, management indicators, technical indicators, supply chain indicators and organization culture indicators. According to the ranking of performance metrics obtained through WASPAS, the “frequency of new product development is at the top”, followed by “advances in product design and development” and “estimated versus actual time to market”.

It is believed that the framework developed will help industrial practitioners to plan effectively to improve supplier performance. The indicators identified may guide the ANPD penetration, and performance metrics may be useful for evaluation and comparison.

The outcomes of the present study will be extremely beneficial for the industry practitioners to improve the supplier performance. The indicators identified may guide the ANPD penetration, and performance metrics may be useful for evaluation and comparison.

A unique combination of modified SWARA–WASPAS technique has been used in this study which would be beneficial for organizations willing to adopt the jobshop scheduling and inventory management and ANPD for improving supply chain performance.

This study aims to assess the validity of citation metrics based on the disciplinary representative survey.

The present project compared citation rankings for individual scientists with expert judgments collected through a survey of 818 Russian sociologists. The Russian Index of Science Citation was used to construct the general population of 3,689 Russian sociologists, to whom the survey was sent by email. The regression analyses of bibliometric indicators and peer review scores for 723 names of scholars mentioned in the survey have been undertaken.

Findings suggest that scientometric indicators predict with significant accuracy the names of the most influential sociologists and those scholars who are not mentioned while they are less relevant for prediction names which received moderate attention in the survey.

This study contributes to the research on the validity of citation metrics by focusing on scientometric indicators, not limited to traditional metrics but including non-standard publication metrics and indicators of potential metric abuse. Besides, the study presents the national bibliometric data source that is especially important for non-Western higher education systems, less presented in the Web of Science or Scopus.

This article aims to analyze the specific indicators of the circular economy (CE) in terms of analytical aspects, scope and breadth of metrics and levels of innovation associated with CE.

A literature review was developed with a sample of 125 articles, extracted from Scopus, Web of Science, ScienceDirect, Emerald, Google Scholar, Online Library, Sage, Springer, Taylor and Francis and JSTOR databases.

The results indicate the lack of integration of the social dimension and predominance of environmental indicators, lack of indicators for the meso level and concentration of metrics for the product level. Methodological criteria of validity and reliability for measurement studies are recommended, as well as paths and proposals for future research in the CE.

The study’s limitations are linked to the content and method aspects. Although the search was performed in several databases, with a significant number of articles returned compared to other reviews of the topic, the possibilities are limited by the data source and the impossibility of a broader review. The theme is not yet consolidated and this affects the linearity of the revised results. As for the method, the analysis and coding in systematic reviews involve the authors’ capacity for exploration and cognition.

The article proposes six theoretical propositions and the theoretical framework that portrays the main findings of the study and questions to drive future research in the topic.

The article points out opportunities for companies, universities and the government regarding the possibilities that can be explored to develop knowledge and practice about the field.

This research advances the CE literature by means of providing a review of the indicators, metrics and tools oriented toward the CE literature that contributes to the improvement and consolidation of the various researches in the field.

The purpose of this paper is to provide a critical discussion of the Leiden Manifesto for libraries already engaged in bibliometric practices. It offers practical recommendations based on the work of the European Association for Research Libraries (LIBER) Working Group on Metrics. This work is in the beginning phase and summarizes literature on the topic, as well as the experiences of the members of the Working Group. The discussion reflects today's growing popularity of (quantitative) research assessment which is seen in enthusiasts introducing new metrics (i.e. altmetrics) and by critics demanding responsible metrics that increase objectivity and equity in evaluations.

This paper is the result of the Working Group on Metrics of the European Association for Research Libraries (LIBER) that critically discussed the practicality of the Leiden Manifesto for libraries.

Full compliance with the Manifesto is time-consuming, expensive and requires a significant increase in bibliometric expertise with respect to both staffing and skill level. Despite these apparent disadvantages, it is recommended that all libraries embrace the Manifesto’s principles. To increase practicality, it is advised that libraries collaborate with researchers, management and other libraries at home and around the world to jointly design and provide services that can be reused within the library community.

Libraries have increasingly been confronted with questions about research assessment, responsible metrics and the role of digital products in evaluations and funding decisions. Although a wide range of recommendations and initiatives are available (e.g. DORA San Francisco Declaration on Research Assessment), many recommendations are not straightforward enough to be implemented from a library perspective. This paper provides assistance for libraries to implement these principles by acknowledging the heterogeneous backgrounds the libraries may stem from.

The purpose of this paper is to provide an overview of research and development in the measurement of maintenance performance. It considers the problems of various measuring parameters and comments on the lack of structure in and references for the measurement of maintenance performance. The main focus is to determine how value can be created for organizations by measuring maintenance performance, examining such maintenance strategies as condition‐based maintenance, reliability‐centred maintenance, e‐maintenance, etc. In other words, the objectives are to find frameworks or models that can be used to evaluate different maintenance strategies and determine the value of these frameworks for an organization.

A state‐of‐the‐art literature review has been carried out to answer the following two research questions. First, what approaches and techniques are used for maintenance performance measurement (MPM) and which MPM techniques are optimal for evaluating maintenance strategies? Second, in general, how can MPM create value for organizations and, more specifically, which system of measurement is best for which maintenance strategy?

The body of knowledge on maintenance performance is both quantitatively and qualitatively based. Quantitative approaches include economic and technical ratios, value‐based and balanced scorecards, system audits, composite formulations, and statistical and partial maintenance productivity indices. Qualitative approaches include human factors, amongst other aspects. Qualitatively based approaches are adopted because of the inherent limitations of effectively measuring a complex function such as maintenance through quantitative models. Maintenance decision makers often come to the best conclusion using heuristics, backed up by qualitative assessment, supported by quantitative measures. Both maintenance performance perspectives are included in this overview.

A comprehensive review of maintenance performance metrics is offered, aiming to give, in a condensed form, an extensive introduction to MPM and a presentation of the state of the art in this field.

This paper aims to examine how modern small-medium enterprises (SMEs) operating in the tourism industry perceive and define corporate performance, and how they measure and monitor businesses’ achievements. Actual performance measurement activities are expected to show how (and if) companies manage the key factors that drive value creation and value erosion processes. Are effective performance measurement activities aligned with main theoretical prescriptions?

Theory and previous empirical research on SMEs’ performance is instrumentally used to identify those key factors that are supposed to drive small/medium hotels’ business performance; building on a resource-based view (RBV) framework, which provides the theoretical perspective to link resources, capabilities and actions to firm performance, a model based on the financial, the operational and the organisational dimension of firm’s success is developed through the selection of a set of consistent financial and non-financial indicators. The balanced performance measurement model is then tested via a field research study based on a semi-structured questionnaire sent to 540 selected SMEs active in the tourism sector.

The results suggest that small-medium Italian hotels, typically family firms managed by owners, tend to adopt a balanced system of performance measurement that keeps track of the financial and non-financial dimensions of hotel’s performance; customer orientation proves to be an extremely important leading indicator of non-financial corporate performance. Amongst traditional financial indicators, net profits, profitability ratios such as return on investment and return on sales, revenues for available room, occupancy rate and some cost efficiency ratios are found to be relevant, whereas extensive use is made of non-financial metrics such as customer satisfaction, number of complaints, number of new and repeat customers, employee competencies and staff abilities. Furthermore, some interesting results about frequency of measurement and purpose of measurement are also presented.

Data used in this study do not allow for a comprehensive analysis of the correlation between hotel performance and a specific measurement model implemented. Further future research that is meant to be developed will focus on the issue of addressing the nexus between firm performance and resource and capability used as strategic factors and monitored with an effective performance measurement system. The sample can also be expanded to carry out comparative analysis.

The results shed some further light on performance measurement activities actually implemented by Italian hotels. The evidence gives a contribution to understanding the relationship between critical resources and capabilities that need to be developed and effectively managed to reach superior business performance. Furthermore, the study highlights the need to design and implement a customised performance measurement model, which accounts for firm-specific resources and capabilities and sector-specific features for the hotel to properly manage those strategical success factors that can deliver sustained competitive advantage to the firm.

This research paper contributes to performance measurement literature, by suggesting that the development and the implementation of a simplified but structured and complete performance measurement system, designed on the specific needs and features of SMEs, seems to be a sensible way to improve resources and capabilities utilisation and to obtain a holistic understanding of the achievements of these organisations.

This paper aims to address the need to ensure the quality of metadata records describing learning resources. We propose improvements to a metadata-quality model, specifically for the compliance sub-feature of the functionality feature. Compliance is defined as adherence level of the learning object metadata content to the metadata standard used for its specification. The paper proposes metrics to assess the compliance, which are applied to a set of learning objects, showing their applicability and usefulness in activities related to resources management.

The methodology considers a first stage of metrics refinement to obtain the indicator of the sub-feature compliance. The next stage is the proposal evaluation, where it is determined if metrics can be used as a conformity indicator of learning object metadata with a standard (metadata compliance). The usefulness of this indicator in the information retrieval area is approached through an assessment of learning objects where the quality level of its metadata and the ranking in which they are retrieved by a repository are correlated.

This study confirmed that the best results for metrics of standardization, completeness, congruence, coherence, correctness and understandability, which determine the compliance indicator, were obtained for learning objects whose metadata were better labelled. Moreover, it was found that the learning objects with the highest level of compliance indicator have better positions in the ranking when a repository retrieves them through an exact search based on metadata.

In this study, only a sub-feature of the quality model is detailed, specifically the compliance of learning object standard. Another limitation was the size of the learning objects set used in the experiment.

This proposal is independent from any metadata standard and can be applied to improve processes associated with the management of learning objects in a repository-like retrieval and recommendation.

The originality and value of this proposal are related to quality of learning object metadata considered from a holistic point of view through six metrics. These metrics quantify both technical and pedagogical aspects through automatic evaluation and supported by experts. In addition, the applicability of the indicator in recovery systems is shown, by example to be incorporated as an additional criterion in the learning object ranking.

One of the most important categories in linked open data (LOD) quality models is “data accessibility.” The purpose of this paper is to propose some metrics and indicators for assessing data accessibility in LOD and the semantic web context.

In this paper, at first the authors consider some data quality and LOD quality models to review proposed subcategories for data accessibility dimension in related texts. Then, based on goal question metric (GQM) approach, the authors specify the project goals, main issues and some questions. Finally, the authors propose some metrics for assessing the data accessibility in the context of the semantic web.

Based on GQM approach, the authors determined three main issues for data accessibility, including data availability, data performance, and data security policy. Then the authors created four main questions related to these issues. As a conclusion, the authors proposed 27 metrics for measuring these questions.

Nowadays, one of the main challenges regarding data quality is the lack of agreement on widespread quality metrics and practical instruments for evaluating quality. Accessibility is an important aspect of data quality. However, few researches have been done to provide metrics and indicators for assessing data accessibility in the context of the semantic web. So, in this research, the authors consider the data accessibility dimension and propose a comparatively comprehensive set of metrics.

The purpose of the study is to evaluate the relationship of Journal Publication Timeline (submission to first decision and submission to final decision) with various Journal Metrics (citing half-life, article influence score, the immediacy index, the acceptance rate, the impact factor (IF), five years IF, Eigenfactor and cited half-life) of top 600 journals retrieved from Journal Citation Report (JCR) 2020 under the tag, Elsevier Unified.

Top 600 journals in the decreasing order of the IFs under the tag, “Elsevier Unified” were retrieved from JCR 2020 of Clarivate Analytics. Information about “Journal Metrics” was ascertained using “Customized Service” of JCR, while information about the “Publication Timeline” of each journal was obtained using Elsevier's “Journal Insights Service.” It was found that only 177 journals provided the complete information regarding the “Publication Timeline” and hence considered for the study. Descriptive statistics and correlation analysis was conducted to test the different hypotheses.

It was found that submission to first decision has a significant relationship with the immediacy index, citing half-life and the acceptance rate. Submission to final decision has a significant relationship with Journal Impact Factor (JIF), the immediacy index, Eigenfactor, citing half-life and the acceptance rate.

The study will provide the authors with sound and valuable information to support their selection of journals. Inferences in light of fluctuations in the scholarly communication process in terms of Publication Timelines and Journal Metrics can be deeply understood with the aid of the current study's findings. What considerations authors have to take before submitting their papers is the main implication of the study. Journal administrators can also benefit from the findings of the current study as it can help recruit and manage reviewers, which will ensure a successful publication timeline.

The study correlates Publication Timeline Indicators with Journal Metrics Indicators using secondary cross-sectional data. Though most previous studies only examine the relationship of the Publication Timeline with the Journal Impact Factor (JIF), there is very scarce literature that deciphers the influence of Publication Timeline indicators on different Journal Metrics indicators (including JIF).

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-02-2022-0108.