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The evaluation of management systems is usually based on a series of assumptions which are never questioned. The purpose of this paper is to focus on two of these assumptions, in order to further develop a quantitative model to evaluate metrological management in companies, based on the ISO 10012:2003 standard.

First, the paper uses structural equations to identify the underlying relations between the different variables of the model and conclude that it follows the typical continuous improvement cycle formulated by Deming. And second, the paper processes the opinion of experts using analytic hierarchy process (AHP) techniques in order to prove that not all the variables included in the model are equally relevant in metrological management.

The first SME analysis validates the model itself and its integration with the other management schemes in the company, all based on the Deming cycle. The second AHP analysis leads to a reformulation of the model, assigning weights to the different variables and providing better guidelines for companies to improve their metrological management.

This constitutes a development of the management guidelines contained in the ISO 10012:2003 standard for metrological management, establishing the appropriate evaluation procedures.

Time analysis and institution analysis as well as journal analysis allow the study to show literature distribution in this research area. Research hotspots and trending among different times are revealed by network-structural properties and network-temporal property. The study aims to shed light on international cluster research progress on strategic niche management (SNM).

Using searched literature data on SNM from 1991 to 2018 from the database of Web of Science (WOS), the article maps the citation network and completes the citation analysis based on bibliometric citation analysis.

These eight research streams reveal the development of SNM from theoretical description to target-oriented study and finally diversification analysis.

The paper identifies eight continuous research streams in SNM: sustainable transition, dynamical diversity, complexity, social-technical system, social innovation, social-cognitive evolution, emerging market and policy mix.

The Sendai framework for disaster risk reduction (DRR) 2015–2030 offers guidelines to reduce disaster losses and further delivers a wake-up call to be conscious of disasters. Its four priorities hinge on science, technology and innovations as critical elements necessary to support the understanding of disasters and the alternatives to countermeasures. However, the changing dynamics of current and new risks highlight the need for existing approaches to keep pace with these changes. This is further relevant as the timeline for the framework enters its mid-point since its inception. Hence, this study reflects on the aspirations of the Sendai framework for DRR through a review of activities conducted in the past years under science, technology and innovations.

Multidimensional secondary datasets are collected and reviewed to give a general insight into the DRR activities of governments and other related agencies over the past years with case examples. The results are then discussed in the context of new global risks and technological advancement.

It becomes evident that GIS and remote sensing embedded technologies are spearheading innovations for DRR across many countries. However, the severity of the Covid-19 pandemic has accelerated innovations that use artificial intelligence-based technologies in diverse ways and has thus become important to risk management. These notwithstanding, the incorporation of science, technology and innovations in DRR faces many challenges. To mitigate some of the challenges, the study proposes reforms to the scope and application of science and technology for DRR, as well as suggests a new framework for risk reduction that harnesses stakeholder collaborations and resource mobilizations.

The approach and proposals made in this study are made in reference to known workable processes and procedures with proven successes. However, contextual differences may affect the suggested approaches.

The study provides alternatives to risk reduction approaches that hinge on practically tested procedures that harness inclusivity attributes deemed significant to the Sendai framework for DRR 2015–2030.

The purpose of this paper is to deploy structural equation modeling (SEM) technique to empirically validate the interrelationships amongst significant variables of 5S implementation and business excellence performance parameters (BEPP) in SEM_5S model.

The confirmatory factor analysis approach is utilized to generate the effective SEM_5S model by using AMOS 20.0 (analysis of moment structures) software. The data have been collected from different manufacturing organizations that have successfully deployed the 5S program by using well-designed questionnaire for the evaluation of SEM_5S model.

SEM of 5S various parameters has established that attributes like top management involvement initiatives, employee involvement initiatives, basic 5S initiatives (BFSI) and fifth S initiatives (Shitsuke) should be holistically emphasized during the implementation of 5S program, leading to attainment of high level of melioration in the BEPP. SEM has been deployed to evaluate the original and modification indices of the model, which further establishes the improvement in SEM’s effectiveness. The model establishes the significant impact of 5S implementation on business excellence of manufacturing organizations.

The outcomes of the study will help the organizational managers, HR executives and practitioners from manufacturing organizations to know about the significant factors which should be followed holistically to achieve overall organizational business excellence through strategic 5S initiatives.

This study aims to develop a better understanding of radical innovation performance and proposes a comprehensive and theoretical model of the barriers impeding radical innovation from the perspective of researchers working in research institutions in China. Both quantitative and qualitative techniques were used to test the hypotheses regarding barriers to radical innovation and the model proposed in this research.

The data was collected through questionnaires and semi-structured interviews with researchers from different research institutions across several cities in China. Next, the data was analyzed by deploying the structural equation modeling technique and calculating the statistical significance of correlations, regression and path coefficients among the latent variables.

The results indicated the major barriers impeding radical innovation in Chinese research institutes. Based on these findings, suggested policies, regulations and business models are put forward that can promote radical innovation in these institutes through increasing research freedom, enhancing organizational flexibility, attracting talented researchers and expanding research collaboration.

The research proposes a comprehensive and theoretical model of the barriers impeding radical innovation from the perspective of researchers working in research institutions in China.

This paper aims to investigate the influential aspects of industrial branding in building customer brand engagement from the buyer’s and the seller’s points of view. Collecting buyer and seller information is essential to understand business-to-business interaction better. Buyer’s and seller’s perspective integration is significant for stakeholders to develop proper strategies to achieve customer brand engagement.

This study uses a structural equation model to examine the antecedents of customer brand engagement from the buyer’s perspective; then, the result is compared with the seller’s view by conducting an analytical hierarchy process. The authors exercise 140 valid data from the buyer’s industry and 9 experts from the seller’s industry.

This study finds that in developing customer brand engagement, rational brand quality is the most influential from the buyer’s view and top priority from the seller’s view. Surprisingly, both parties have different perspectives about the second and third priorities. The buyers put emotional brand associations as a second priority; perceived value is meaningless and insignificant. On the contrary, the sellers set the perceived value as the second priority and emotional brand associations as the last.

The respondents from the buyer industry cover various industries, and the research is limited to the buyer and the seller in the chemical polymer emulsion market, a market where product quality and application quality on the buyers’ side are essential and where the buyer–seller interaction is intense. Replicating the study in other industries and cultural backgrounds is recommended for generalization.

The paper’s novelty is that there are different priorities and perspectives from the buyer’s and the seller’s views. This study contributes to industrial brand engagement research studies. Investigation of the buyer’s and the seller’s perspectives in industrial brand engagement research studies is still limited.

The purpose of this paper is to investigate and select various significant technology push (TP) strategies affecting sustainable development in manufacturing organizations. The study deploys structural equation modeling (SEM) technique to empirically validate the interrelationships amongst significant TP strategies and sustainable development indicators in SEM-TP Model.

Confirmatory factor analysis approach is utilized to generate an effective SEM-TP Model by using AMOS 21 (Analysis of Moment Structures) software. The data have been collected from different manufacturing organizations practicing TP strategies, using a well-framed TP questionnaire for the evolution of SEM-TP Model.

SEM modeling of various TP strategies like, innovative capability (IC), research and development, corporate strategy (CS) and export orientation towards achieving sustainable development in manufacturing industries has been performed. SEM-TP Model has been planned and reports obtained before and after modification indices (MI) of the model are correlated, which further establishes improvements in model’s effectiveness. The research concludes that two TP strategies namely, IC and CS are found to be significant in the present context. These strategies have emerged as a foundation for several development initiatives and actively support manufacturing industries in achieving sustainable development. The results obtained from final model may support organizational managers and TP practitioners to improve the overall performance of manufacturing industries involved in the present study. The manufacturing enterprises will be able to frame or enhance their corporate strategies and innovative capabilities in a more appropriate way.

In the present study, contributions of TP practices are determined to accomplish sustainable development in manufacturing industries. Otherwise, issue-wise independent modeling can also be performed to assess the importance of TP practices towards achieving quality and sustainable development under specific orientations.

The research gives priority to enhancement in the coordination among various TP practices and sustainable development parameters in the industries, to inculcate TP as a crucial strategy to meet challenges in global markets.

It has been exhibited from model that adequate TP strategies can effectively contribute towards recognition of sustainable development to compete in the highly progressive markets. The results of various interrelationships among TP practices and sustainable development indicators in SEM-TP Model portray the effectiveness of TP practices for accomplishment of organizational and social ambitions.

The outcomes of the study will help organizational managers, HR executives and TP practitioners in manufacturing industries to know about the significant TP strategies to be followed holistically for achieving sustainable development.

The purpose of this paper is to investigate as well as select various significant demand pull (DP) strategies affecting sustainable development (SD) in manufacturing organizations. The study deploys the structural equation modeling (SEM) technique to empirically validate the interrelationships between significant DP strategies and SD indicators in an SEM-DP Model.

Confirmatory factor analysis approach is applied to generate an effective SEM-DP model using the AMOS 21 (Analysis of Moment Structures) software. The data have been collected from different manufacturing organizations practicing DP strategies, using a well-framed DP questionnaire for the evolution of the SEM-DP model.

SEM of various DP strategies like stringent implementation of government regulations (SIGR), transforming capabilities, unionized labor (UL), and customer attributes (CA) toward achieving SD in manufacturing industries has been performed. The SEM-DP model has been planned and reports obtained before and after modification indices of the model are correlated, which further establishes improvements in the model’s effectiveness. The research concludes that significant DP strategies, namely, SIGR, UL, and CA support the manufacturing industries in accomplishing SD in terms of competitiveness, business performance enhancements, flexibility, customer satisfaction, and technological development.

In the present study, contributions of DP practices are determined to accomplish SD in Indian manufacturing organizations only. Hence, the results obtained may need some modifications before applying to other countries. Moreover, issue-wise independent modeling can also be performed to assess the importance of DP practices under specific orientations.

The results of various interrelationships among DP practices and SD indicators in the SEM-DP model portray the effectiveness of DP practices for achieving organizational goals and social commitments.

The outcomes of the study will help DP practitioners, organizational managers, and HR executives in the manufacturing industries to develop a clear understanding about the significant DP strategies to be followed holistically for accomplishing SD. The manufacturing enterprises will be able to frame and organize their policies, handle their UL issues and CA in a more appropriate way. Hence, the knowledge obtained from present study will help improve the overall performance of manufacturing industries involved in the present context.

This chapter is devoted to the study of the standard control of the material costs of production as a factor of technical growth of an enterprise of manufacturing industries: ways of integration in a single information space of information that allows you to manage the cost and quality of products at all stages of the value creation; theoretical and methodological approaches to the implementation of control functions of material costs (technological waste and production losses) according to preestablished consumption rates in the value creation of an industrial enterprise, especially in a number of machine-building factories of Nizhny Novgorod industrial cluster; theoretical methods of synthesis and comparison data, structured description of characteristics of the object of study, system analysis, as well as empirical methods of observations and descriptions of the subject area. The necessity of further improvement of effectiveness and methodology of a control function of a standard cost accounting system in the aspect of maintaining the technical growth of an enterprise is substantiated. Current condition is analyzed, and ways of modernization of organizational, managerial, methodological, metrological, and competence types are proposed. Also, sets of conditions for implementation of standard control and procedures incorporated into instrumental information space are substantiated. It is proved that the application of standard accounting of material costs for production within the framework of a system of standard accounting effectively contributes to noticeable technical growth and meets modern criteria and parameters of an effective management. It is substantiated that conditions for the implementation of a standard control of material costs for the production of an industrial enterprise that contributes to technical growth are availability and comprehensiveness of organizational, managerial, methodological, and metrological types of security control of material resources in the production; compliance with technical standards for processing, warehousing, storage, transportation of material resources; and matching competencies of management personnel with their functions. It is expected to introduce a standard control of material costs within the framework of a standard accounting system in practices of machine-building enterprises, as a significant factor of technical growth. Scientific understanding of an essence of the standard control of material costs within the framework of a standard cost accounting system, justified and outlined by the author, ensures incorporation into practice of effective production management, contributes a noticeable technical growth of industrial enterprises of the processing industries; provides a significant improvement in a quality of accounting results in general.

Whereas many researchers have examined the way in which health institutions have been transformed through funding modalities, and particularly through prospective payment systems (PPS), few have investigated the architecture of these systems, that is, costs and cost variance. Focusing on the study of costs and on the production of hospital rates, this chapter shows that the French PPS, called “rate per activity” made possible what we call a policy of variance. For health policymakers, the aim was to make the different accounting figures between hospitals, and between ways of practising healthcare, visible, in order to reduce these variances. This policy was attended by uncertainty in the processes of quantification, which led to metrological controversies. As a consequence of the issues around the way of calculating costs, some accounts and calculations were redone. In this chapter, we consider the case of metrological controversy over the remuneration of costs for cystic fibrosis patients’ hospital stays, and over the action of a patient organization that criticized the costs calculated officially. It leads to the analysis of the way calculative infrastructures, as cost accounting and rates, are challenged, and how some actors try to stabilize them.