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This paper aims to propose a new qualitative indicator for the evaluation of the productions of researchers in any discipline.

Based on the study of existing quantitative indicators, the authors’ approach consisted of the hybridization of two indicators. This hybridization is based on the individual H_index (Hi_index) and H_index contemporary (Hc_index) weighted by qualitative factors. The initial sources of the data are online bibliographic databases, such as Google Scholar and Publish or Perish.

A new scientometric indicator was used to compare the scientific production quality of researchers and their classification (as part of a research community) as the classification of national and international research institutions. The authors have applied a new indicator to compare and classify the members of their laboratory, RIADI, according to their quality of scientific production.

The indicator is an improvement of the H_index. It is a measure that can have an impact on society (influencing research attitudes, affecting quality of research). By this contribution, the authors measure more than one aspect by involving all the external factors that can affect the quality of research.

This paper fulfils a gap in the literature concerning the absence of a qualitative indicator among the set of existing quantitative measures. Additionally, this paper addresses the limitations of the existing qualitative practices, such as peer review and citation analysis. In the new qualitative indicator, the authors involve all of these qualitative aspects: the influence of the age of the paper, the number of co-authors, the order of the co-authors, the impact factor of journals and the conference rankings.

In order to solve the problems of difficulty in lending to family farms and the lack of credit products, it is necessary to classify the credit rating of family farms and determine the credit risk level of different family farms, so that agriculture-related financial institutions can implement different credit strategies.

A method based on BP neural network model is proposed to measure the weights of credit evaluation indicators of family farms and the linear weighting method and the fuzzy comprehensive evaluation method are used to establish the final credit rating system for family farms.

The empirical results show that the majority of the 246 family farms in Inner Mongolia have a low CC rating.

By constructing a sound and reasonable credit rating system for family farms, thus providing an objective evaluation of the credit rating of family farms, the credit granting status of agriculture-related financial institutions will be adapted to the reasonable loan demand status of family farm owners, and the quality and level of their credit approval will be continuously enhanced.

The purpose of this paper is to identify key variables that affect the quantifiable key performance indicators (KPIs) and to derive equations to measure these indicators. Qualitative KPIs are also discussed in terms of the aspects that need to be covered while carrying out qualitative performance assessment.

A combination of literature and an industry opinion-based qualitative approach is applied to develop equations to calculate the quantifiable KPIs. A facility asset management consulting firm is included in the process of deriving the equations. Key aspects of a facility's qualitative performance assessment are categorized and discussed by performing a literature review.

Mathematical expressions for core performance indicators are presented and discussed along with key variables. In addition, the information needed to quantify these core indicators is also discussed.

This paper represents the second step towards establishment of a relevant list of quantifiable and measurable core KPIs, which were identified and categorized in Part I of this paper. In Part II, the authors derive equations to quantify the core KPIs. Future research is needed to use relevant information from industry for validating these equations.

A need for a concise and relevant list of KPIs was identified in Part I of this paper. Part II provides an approach to quantify the core KPIs based on information that is available in the industry. This research will help facility management professionals in not only selecting the indicators of choice, but also quantifying them based on available information yielding enhanced facility management decisions with measurable facility performance outcomes.

This paper provides equations and variables to measure a facility's physical, functional and financial performance using both quantitative and qualitative performance assessments.

To highlight a few critical issues related to indicators that are used to compare organizational practices.

The approach is as follows: to compare the efficacy of qualitative and quantitative indicators; objectivity in identification of processes and practices; and make a distinction between essence and logistics of benchmarking.

For any benchmarking exercise the most important job is objectivity in identification of processes and practices. The distinction between the two is not always apparent. Qualitative evaluation of practices is as important as quantitative evaluation. The quantitative performance indicators for evaluation of best practices come only at the end of a series of critical qualitative analysis of the organizational processes and practices.

The subject of the paper has been the enhancement of the effectiveness of R&D organizations. Such organizations form an important part of the innovation system of a nation, generally known as national innovation system (NIS). NISs of more successful countries are being continuously evaluated and emulated by other countries for attaining respective technological aspirations. This leaves a wide scope for application of benchmarking methodology. The dynamics of networks like NIS being different from that of a business organization, the methodology for best practices has to be refined. The present paper has addressed only the R&D organization part of NIS. Much of the validity of the conclusions will depend upon studies on NIS in particular and organizations not driven by profit motive in general.

The exact definition of the organization in terms of its mandate, long‐term vision and source of competence is the critical task. This is an important lesson for extending benchmarking exercise beyond business enterprises. The study envisages that the methodology would have wide scope of application for organizational restructuring of R&D organizations. However, methodology has to be refined depending on the specificity of the problem of R&D organizations.

It is in presenting the comparative efficacy of qualitative and quantitative indicators for R&D organizations and also in highlighting the importance of benchmarking, the essence of organizational practices, to arrive at the logistics.

The purpose of this paper is to explain and demonstrate the importance and usefulness of mixing qualitative and quantitative approaches in participatory residential sustainability policy and practice.

The approach uses a theoretical model, developed through engagements with cultural and political sociology, to inform participatory engagement in selecting “indicators” of urban residential sustainability.

If they are to influence policy and practice effectively, quantitative indicators of sustainability need to be subjected to dialogical negotiation and deliberation aimed at establishing qualitative assessment of the problem.

Recognizing as foundational the need to negotiate the terms on which the task of achieving sustainability is implemented, the approach links “natural” with “social” scientific endeavour in a policy‐oriented and practical approach to binding together quantitative with qualitative “indicators” of sustainability.

The present study investigated the nature of Public–Private Partnership (PPP) in various subsectors of social and commercial infrastructure in India for better understanding of significant characteristics, attributes and factors governing the public private participation. The Indicator Analysis approach has been adopted to study a total of 119 Public–Private-partnered projects involving four qualitative and three quantitative indicators to help build a detailed profile of partnered projects in various subsectors of social and commercial infrastructure in India. The subnational government has been unravelled as the dominant form of government participation across all the subsectors of the social and commercial infrastructure in India. The infrastructure projects in the subsector of tourism have registered high average cost and time overruns. Further, Build-Operate-Transfer (BOT) mode has been identified as the most preferred PPP entry mode in the social and commercial infrastructure in the Indian economy. Since, the Indian economy comprises a large workforce, investment in social and commercial infrastructure projects through PPP mode can tap and harness the demographic dividend, which is critical for sustaining the growth of developing and emerging economies. The study provides a detailed account of qualitative and quantitative information about the nature of social and commercial infrastructure sector that shall facilitate successful implementation of the PPP projects in this soft infrastructure sector, which has a substantial bearing on the economic growth and human development in the Indian economy.

Urban renewal through the regeneration and redevelopment of public housing estates has become a major policy initiative in most Australian state housing authorities since the mid-1990s. These policies have involved a mix of both physical renewal and community development in response to the problems that have emerged in the public housing sector over the past two decades. While the origins of these problems are well established and reflect the changes experienced by public housing sectors in other comparable countries (Hayward, 1996; Peel, 1995), the impact of policies to address these problems in the Australian context has attracted less attention in the academic literature (Arthurson, 1998; Randolph & Judd, 2000). While there is an emerging body of evaluation and research that has attempted to assess the outcomes of renewal programmes and policies, it can be argued that there is still a relatively poor level of general understanding of what aspects of renewal are effective or what outcomes have actually been achieved. At the same time, there has been little effective development of an exchange between researchers or evaluators on the effectiveness of the various evaluation methodologies – qualitative and quantitative – that have been used to assess renewal policies. This is particularly evident at the national level (Spiller Gibbin Swan, 2000).

The purpose of this paper is to review the evolution of empirical research methods in Journal of Services Marketing (JSM), how the choice of methodology is related to the research topic, and how methodology affects the impact of papers published in JSM.

Based on citation data from Scopus, bibliometric methods are used to describe the methodological evolution of literature over the period 1987-2017. Indicator correlations and logistic regression are used to test the methodological predispositions of research topics. Negative binomial regression is used to test the impact of paper methodology on paper citations on 1,036 papers.

Qualitative research methods have remained relatively rarely used in JSM (7.5 per cent qualitative papers, 13.4 per cent mixed methods), with no major changes over the past 15 years. The variety of research methods has slightly increased in the latest years. There are considerable differences in the methodological predispositions of research topics. The methodology does not directly affect the impact of papers. However, use of mixed methods may positively affect paper impact. Papers focusing on conceptual development tend to be cited more.

The review indicates that quantitative methods dominate research in JSM. However, future research challenges in service marketing research call for a reconsideration of the role of qualitative research for JSM. Findings point out that several research topics could benefit from further qualitative research.

Provides an overview of the latest development in research methodologies used in JSM, and direct statistical evidence on how paper methodology and other characteristics influence paper impact. Identifies areas for further qualitative research.

To construct a scientific and reasonable indicator system, it is necessary to design a set of standardized indicator primary selection and optimization inspection process. The purpose of this paper is to provide theoretical guidance and reference standards for the indicator system design process, laying a solid foundation for the application of the indicator system, by systematically exploring the expert evaluation method to optimize the index system to enhance its credibility and reliability, to improve its resolution and accuracy and reduce its objectivity and randomness.

The paper is based on system theory and statistics, and it designs the main line of “relevant theoretical analysis – identification of indicators – expert assignment and quality inspection” to achieve the design and optimization of the indicator system. First, the theoretical basis analysis, relevant factor analysis and physical process description are used to clarify the comprehensive evaluation problem and the correlation mechanism. Second, the system structure analysis, hierarchical decomposition and indicator set identification are used to complete the initial establishment of the indicator system. Third, based on expert assignment method, such as Delphi assignments, statistical analysis, t-test and non-parametric test are used to complete the expert assignment quality diagnosis of a single index, the reliability and validity test is used to perform single-index assignment correction and consistency test is used for KENDALL coordination coefficient and F-test multi-indicator expert assignment quality diagnosis.

Compared with the traditional index system construction method, the optimization process used in the study standardizes the process of index establishment, reduces subjectivity and randomness, and enhances objectivity and scientificity.

The innovation point and value of the paper are embodied in three aspects. First, the system design process of the combined indicator system, the multi-dimensional index screening and system optimization are carried out to ensure that the index system is scientific, reasonable and comprehensive. Second, the experts’ background is comprehensively evaluated. The objectivity and reliability of experts’ assignment are analyzed and improved on the basis of traditional methods. Third, aim at the quality of expert assignment, conduct t-test, non-parametric test of single index, and multi-optimal test of coordination and importance of multiple indicators, enhance experts the practicality of assignment and ensures the quality of expert assignment.

This paper aims to establish a model to evaluate the benefits of building information modeling (BIM) from the owners' perspective. The model analyzes the correlation between five secondary benefit indicators and their subsystems: product, financial, organizational, management and strategic. The final key factors of BIM benefits provide a decision-making basis for owners to raise the efficiency of BIM application.

Firstly, the authors combed 31 BIM-related literature and interviewed experts to identify 15 preliminary benefit indicators. The authors established a BIM benefit evaluation system based on relevant concepts, including two primary indicators, five secondary indicators and 15 tertiary indicators. Secondly, the authors analyzed the indicators by the extension theory of matter element analysis and a questionnaire survey of expert opinion. Finally, the new method was applied to a case study of a large shopping center in east China for empirical verification.

A BIM benefit evaluation model, including a three-tiered hierarchy of primary, secondary and tertiary indicators, was constructed through literature review and expert opinions. The model determined the critical factors of BIM benefits, enhanced understanding of owner benefits and improved BIM application under the owners' leadership.

At present, most studies focus on specific project stages or benefit indicators. This study developed an integrated BIM benefit evaluation system that targets owners. The findings could foster the development of China's construction industry, promote owner-led BIM application and advocate adopting the benefit evaluation method.