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The purpose of this paper is to investigate the perception of marketing managers in a transition country Montenegro with regards to marketing metrics. The paper examines the degree in which managers are familiar with the way marketing metrics are applied and how important they are in the process of making business decisions in a company operating in a Montenegro.

Data was collected during 2020 through a survey of 171 randomly selected companies and was analyzed using structural equation model and the statistical method of analysis of variance tests.

The obtained results show that managers are quite familiar with financial and non-financial metrics. Both groups are applied to a significant degree, as managers believe that these indicators provide valuable information needed during the decision-making process. Still, more emphasis is placed on the knowledge, implementation and importance of non-financial metrics compared to financial metrics. This is probably due to the specificities of the economic activities of the companies operating in Montenegro, as most of them are service companies, which is why non-financial metrics (such as consumer metrics) are the most important indicators when it comes to ascertaining the market position of the company. Additionally, in recent years the primary focus in Montenegro, as country that is still in the process of transformation from planned economy to a free-market form, has been placed on strengthening of competitiveness and advancing the market orientation of companies. This led to an increase in the importance that managers in transition countries attach to non-financial metrics.

The fact that the survey only covers companies from one country is its limitation.

The obtained results will have a significant empirical contribution, which is reflected in providing guidelines for managers on how to improve the system of measuring and controlling marketing performance, all that to strengthen the competitiveness of the company, and can serve managers of hierarchy levels in a company as guidelines for making decisions on the implementation of marketing strategy and marketing metrics, to improve business performance, multi-context customer interaction, cost-saving and strengthen competitiveness.

Obtaining necessary knowledge management and implementing marketing metrics are important conditions for consideration when it comes to the continuous monitoring and improvement of business results, increasing competitiveness and advancing the market position of the company.

The originality stems from the analysis of the interconnection that exists between marketing metrics and strategic decision-making, which is expected to be positively reflected in the development of society, i.e. strengthening the competitiveness of companies based on knowledge management achieved through the assessment of the degree of knowledge, the implementation and the significance of each of the metrics covered within this research in business decision-making processes. The paper provides insights into the extent to which managers understand the meaning of these indicators and are able to combine different marketing metrics to obtain more complex indicators, serving as necessary inputs when making strategic business decisions.

‘If no‐one questions me’, said St. Augustine in his Confessions, ‘I know, but if I am required to explain my point of view I do not know.’ I understand exactly what he means. When Maurice Line suggested that I should speak this evening I was confident and accepted, but when I began to consider what I should say and asked myself the questions, I realized that I did not know, and looking at the names of those who were also speaking I had to assure myself that I had been invited as a non‐expert, a non‐social scientist—but that was as far as I dared go or I should have argued myself out of existence rapidly.

Despite the general recommendation of using a combination of multiple criteria for research assessment and faculty promotion decisions, the raise of quantitative indicators is generating an emerging trend in Business Schools to use single journal impact factors (IFs) as key (unique) drivers for those relevant school decisions. This paper aims to investigate the effects of using single Web of Science (WoS)-based journal impact metrics when assessing research from two related disciplines: Business and Economics, and its potential impact for the strategic sustainability of a Business School.

This study collected impact indicators data for Business and Economics journals from the Clarivate Web of Science database. We concentrated on the IF indicators, the Eigenfactor and the article influence score (AIS). This study examined the correlations between these indicators and then ranked disciplines and journals using these different impact metrics.

Consistent with previous findings, this study finds positive correlations among these metrics. Then this study ranks the disciplines and journals using each impact metric, finding relevant and substantial differences, depending on the metric used. It is found that using AIS instead of the IF raises the relative ranking of Economics, while Business remains basically with the same rank.

This study contributes to the research assessment literature by adding substantial evidence that given the sensitivity of journal rankings to particular indicators, the selection of a single impact metric for assessing research and hiring/promotion and tenure decisions is risky and too simplistic. This research shows that biases may be larger when assessment involves researchers from related disciplines – like Business and Economics – but with different research foundations and traditions.

Consistent with the literature, given the sensibility of journal rankings to particular indicators, the selection of a single impact metric for assessing research, assigning research funds and hiring/promotion and tenure decisions is risky and simplistic. However, this research shows that risks and biases may be larger when assessment involves researchers from related disciplines – like Business and Economics – but with different research foundations and trajectories. The use of multiple criteria is advised for such purposes.

This is an applied work using real data from WoS that addresses a practical case of comparing the use of different journal IFs to rank-related disciplines like Business and Economics, with important implications for faculty tenure and promotion committees and for research funds granting institutions and decision-makers.

Extant manufacturing strategy research dichotomizes the trade‐off model and the cumulative model, but fails to explain each strategic result. The purpose of this paper is to propose four key antecedents of a trade‐off versus a cumulative model by manufacturing business units (MBUs), and in turn, their association with business performance.

The authors first review literature pertaining to the history and major themes of manufacturing strategy. Next, the authors present a theoretical model with explanations of the methodology and research design used. The model is empirically tested, and conclusions, managerial implications, and future research opportunities that stem from this research effort are provided.

Strategic time orientation, as well as manufacturing practices of supply chain integration intensity and advanced manufacturing technology, are empirically found to be associated with MBUs' combinative competitive capabilities. More specifically, manufacturers following these practices are more apt to realize higher levels combinative capabilities, as depicted by the cumulative model.

The paper shows that these manufacturing practices may extend the time within which the MBU reaches its capability frontiers, and therefore, increase the odds that it can exploit its current resources. Moreover, MBU size negatively moderates the relationship between advanced manufacturing technology and the cumulative model.

Research impact has taken on increased importance at both a micro- and macro-level and is a key factor today in shaping the careers of real estate researchers. This has seen a range of research impact metrics become global benchmarks when assessing research impact at the individual academic level and journal level. Whilst recognising the limitations of research impact metrics, this paper uses these research impact metrics to identify the leading research impact researchers in real estate, as well as the leading real estate journals in the real estate impact space. The nexus between research quality and research impact is also articulated. As well as focusing on research quality, strategies are identified for the effective incorporation of research impact into a real estate researcher's agenda to assist their research careers; particularly for Early Career Researchers in real estate.

The research impact profile of over 150 real estate researchers and 22 real estate journals was assessed using Google Scholar and Publish or Perish. Using the research impact metrics of the h-index, total citations and i10, the leading high impact real estate researchers as well as the high impact real estate journals are identified.

Based in these research impact metrics, the leading real estate researchers in impactful real estate research are identified. Whilst being US focused, there is clear evidence of increasing roles by ERES, AsRES and PRRES players. The leading real estate journals in the impact space are identified, including both real estate-specific journals and the broader planning/urban policy journals, as well as being beyond just the standard US real estate journals. Researcher career strategies are also identified to see both research quality and research impact included as balanced elements in a real estate researcher's career strategy.

With research impact playing an increased role in all real estate researchers' careers, the insights from this paper provide strong empirical evidence for effective strategies to expand the focus on the impact of their real estate research agendas. This sees a balanced strategy around both research quality and research impact as the most effective strategy for real estate researchers to achieve their research career goals.

Research impact has taken on increased importance globally and is an important factor in shaping real estate researchers' careers. Using research impact metrics, this is the first paper to rigorously and empirically identify the leading research impact players and journals in real estate, as well as identifying strategies for the more effective inclusion of impact in real estate researchers' agendas.

This study explains the importance of performance measures and identifies the specific performance measures of sustainable lean manufacturing (SLM) for automobile industries. Awareness towards sustainability and continuous improvement approaches demand monitoring of the sustainable lean impact on organization/industry, and hence, identifying the specific performance metrics is of peak importance.

In this study, specific metrics for social, economic and environmental performance are identified from a systematic literature review of 82 significantly related journal articles. The importance of the identified metrics is assessed with the help of questionnaire responses from a group of industrial experts.

Performance indicators are statistically analyzed category wise and assessed. The key metrics are summarized based on the survey data followed by a discussion with industrial experts. From this study, performance measures have been identified and validated through hypothesis testing for Indian automobile industries. Certification of IATF16949 implementation found an important vertical for SLM implementation. In this study, SLM implementation initiatives are discussed, and reward scheme for outstanding performers are identified as important initiatives are followed by small improvement culture.

The proposed discussion of this study is useful for industrialist and researchers, as SLM performance measures are well explained for Indian automobile industries. In this study, future research direction is also explained related to other industries. These summarized performance measures will help to maintain SLM in industries.

This paper presents the original literature review based on the study of SLM, as no extensive study is available where SLM performance measure explained for automobile industries. Key initiatives and vertical of SLM are well explained for Indian automobile industries. This study proposed a complete framework for SLM implementation considering competitive manufacturing targets.

The purpose of this paper is to present some of the results of the project “Evaluating the usage and impact of e‐journals in the UK”. The particular research reported here evaluated the use of the ScienceDirect journals database with regard to Life Sciences, Economics, Chemistry, Earth & Environmental Sciences and Physics by ten major UK research institutions. The aim of the study is to investigate researchers' digital behaviour, and to ascertain whether their use and behaviours varied by subjects and disciplines, or in relation to the institutions in which they worked.

Raw logs for ScienceDirect were obtained for the period January to April 2007, were subject to deep log techniques and analysed using the Software Package for Social Sciences (SPSS).

Typically, 5 per cent of the ScienceDirect journals viewed accounted for a third to half of all use. A high proportion of researchers entered the ScienceDirect site via a third‐party site, and this was especially so in the case of the Life Sciences and in the highest‐ranked research institutions. There were significant institutional and subject differences in information‐seeking behaviour. In the most research‐intensive institutions, per capita journal use was highest and their users spent much less time on each visit. There were significant differences of the order of 100‐300 per cent in the age of material viewed between subjects and institutions. Just four months after ScienceDirect content was opened to Google indexing, a third of traffic to the site's Physics journals came via that route.

The research is one of the very few studies to investigate subject and institutional differences with regard to the information seeking and use of UK researchers, something UK academic librarians should particularly welcome.

The purpose of this paper is to present a report of the 2007 annual meeting of the International Association of Technological University Libraries (IATUL) held at the KTH, Royal Institute of Technology in Stockholm, Sweden.

Provides a brief review of the main themes of the conference: Public access; New tools and services, Metrics; and Economics, Bridging the gap.

Scientific publishing directions are changing the environmental landscapes of science and academic research libraries as well as in how scientists are conducting their work in all disciplines and communicating and collaborating with each other. The increasingly more complex and global environments indicate that access to the scientific literature and information sharing are paramount interests of scientists, national governments, the scientific community at‐large, professional societies and commercial publishing interests.

Libraries are evolving into far more than repositories of bound volumes as eScience and eCollections mature. The changing role of librarians and of the physical library to handle and treat much more than books and journals is demonstrated by many addresses at this conference.

This research is based on the premise that current metrics for search engine advertising (SEA) are misleading and do not sufficiently allow managers to evaluate traffic and conversions simultaneously. This study aimed to conceptually develop and assess conversion potential (CvP) as a unifying construct for both measuring and evaluating the performance of SEA campaigns.

A data set of nearly seven million records covering almost three years of a multi-million-dollar keyword marketing campaign from a major US retailer was used to validate the construct of CvP.

Results empirically validate how CvP measures both campaign traffic and sales in SEA, using the optimization factor of ad rank, which is one of many possible factors.

Although the data set is large and covers a lengthy period of time, it is limited to one company in the retail sector.

The research instantiates CvP as a metric for overall SEA account performance while demonstrating that it is a practical tool for future campaign planning. The metric simultaneously incorporates a sales ratio and a traffic ratio.

This is the first study to formalize and provide a working definition of CvP in the academic literature. The contribution is a theoretical and practical managerial framework to mutually evaluate, measure and make decisions about SEA efforts.