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In response to increasing demands on improved environmental performance, companies need to develop their capabilities in assessing the environmental performance of their operations. Knowledge among practitioners as well as solid research results in this area is lacking. This paper aims to present a framework of dimensions, which are important to consider regarding environmental measurement in supply chain management. The paper also aims to present a practical example on how environmental performance measurements can be a success by applying these dimensions.

Literature regarding logistics management and performance measurement is coupled with theories regarding environmental logistics and green supply chain management. A framework is developed. A case study based on four actors in a reverse supply chain is used to illustrate the framework.

The paper outlines important aspects to consider in the design of environmental performance measurements in supply chain management and identifies shortcomings in existing research. The case presents successful examples of how environmental performance measurements can be applied across managerial levels as well as company borders in a supply chain.

The literature review shows shortcomings in the measuring tools applied today. The case provides examples of how these shortcomings can be addressed.

This paper addresses the intersection between environmental logistics and performance measurements. The case shows how environmental performance measurements can be applied over a single company's borders by including four different actors in the supply chain.

This study seeks to provide a broad ranging review that identifies, summarises and integrates the different multi-level approaches contributing to advances in research on measuring IC. This furthermore sets out and highlights an agenda for future research.

Deploying a systematic and thorough review of the literature, the authors were able to identify 60 articles and identify the main theories applied and the respective methodological orientations of these articles across three levels of analysis: micro, meso and macro.

The study's findings suggest that the literature on measuring IC has approached the theme across three different levels –micro, meso and macro. In addition, the results enable the identification of seven dimensions to IC: competitive advantage, economic value generated, resources and capacities, corporate governance, IC components, innovation management and the dissemination of IC.

The mixed-methods approach, which combines a traditional systematic literature review with ontological thematic analysis, casts light on the core aspects that led to the identification of a new approach in the academic literature on measuring IC.

This study puts forward a holistic model with measurements for IC across the three levels of analysis as well as the respective criteria for choosing the variables.

This study represents a first attempt to analyse the emerging literature on IC measurement through a multi-level approach; integrating and extracting the potential theoretical contributions in this field of knowledge; proposing an integrated model as well as a theoretically relevant and innovative research agenda that opens up paths to future research projects.

To study the nature of management accounting performance measures in the Financial Services Industry (FSI). The nature of Performance Measurement (PM), specially non‐financial PM in FSI (service “shop”) has not been explored before.

This exploratory multiple case study consists of survey, interviews with questionnaire, individuals' (senior management and executives) interviews, collecting primary and secondary sources of information as well as literature surveys.

The results of this study demonstrate that the actual practices of the recent trends of management accounting in non‐financial PM are negligible in the studied financial institutions, and management of studied banks paying more attention to improve and measure financial performance than that to non‐financial performance for different reasons that affect the function/operation of FSI.

The field study is being conducted without a conceptual/theoretical framework. An explanatory case study with particular theoretical framework/model could make possible to discuss the factors that affect non‐financial PM in this particular industry. Moreover, a comparative study with manufacturing industry would make the research results more robust.

A stable economic condition and competition that would increase the need and importance of non‐financial PM in FSI as well as in other services (and even in manufacturing industries).

This paper explores the nature of management accounting PM particularly in FSI.

Efforts aimed at evaluating quality in leisure, tourism and hospitality have concentrated predominantly on measuring perceived service quality using the SERVQUAL scale, either in its original form or with modifications. While these studies are of great theoretical and practical value, the focus on measuring consumer satisfaction may limit the potential scope of the quality-measurement process. This is particularly true in assessing the quality of complex services such as those found in the leisure, tourism and hospitality sectors, which may require the application of a range of measures that will collectively contribute to the identification of quality levels. This article critically evaluates the potentialities and limitations of the SERVQUAL scale in measuring quality in leisure, tourism and hospitality. It concludes that the SERVQUAL scale is a necessary but insufficient measure of quality within these sectors and specifies implications for future research.

The purpose of this paper was to determine the influence of a number of measured points on results of measurements of turbine blades, which are the parts of aircraft engines. The selection of a number of points is the part of a measurement strategy in the coordinate measuring technique and determines the accuracy of measurements.

Numerical and experimental investigations were conducted. The measurements were simulated using different numbers of measured points. The simulated measurements were performed for the selected dispersion of measured points. The dispersion reflected the inaccuracy of a manufacturing process of the considered product and the uncertainty of measurements of curvilinear surfaces. To verify the accuracy of the numerical studies, experimental research was conducted. The real measurements were conducted using the selected coordinate measuring machine.

The gained results following the simulations can be very useful when selecting the appropriate number of measured points. The chosen number of points may be used during real measurements of turbine blades conducted on coordinate measuring machines. The results of numerical research indicate that there should be used the average radii of leading and trailing edges to increase the accuracy of measurements. The results of real coordinate measurements confirmed the results of simulation studies.

The main novelty of the paper is the presented methodology for determining the influence of measured points on results of measurements. The presented methodology helps the user of a coordinate measuring system select the appropriate measurement strategy of free-form surfaces applied in the aerospace industry.

Given the lack of understanding of social marketing success in theory and practice, this study aims to investigate how social marketing experts conceptualize success.

In this qualitative study, the authors conducted an open-ended online questionnaire with 48 worldwide social marketing experts, most with more than 20 years of experience in the field. The authors analyzed data using topic modeling, a machine-learning method that groups responses/terms into cluster topics based on similarities. Keywords in each topic served to generate themes for discussion.

While behavior change is mentioned as paramount to conceptualizing success, participants prefer to use more tangible and less complex forms to define/measure success, such as campaign recall uptick. In addition, lack of funding was considered an important factor in measuring success. This study provides a two-stage taxonomy to better understand success in social marketing.

To the best of the authors’ knowledge, this study is one of the first to conceptualize success in social marketing practice.

This paper aims to explore the ambiguity and limitations of measuring firm-level multinationality (FLM) using theoretical and empirical comparisons of existing methods. The paper puts forward a list of five key aspects that collectively serve as a tool for researchers to select the most appropriate method for future research and as a basis for the future development of methods.

Firstly, the author reviews existing methods of measuring FLM and consolidates findings into five key aspects. Secondly, the author uses the aspects to compare existing methods theoretically, and subsequently, the author groups them into three distinct streams. Thirdly, the author compares existing methods across a sample of the 35 largest European MNEs by sales in 2020 to identify and demonstrate the ambiguity and limitations of these methods.

The author identifies the five key aspects of measuring FLM: framework, aggregation, segmentation, metrics and indicators. Using empirical comparison, the author empirically confirms the limitations highlighted in the literature and shows the differences and inconsistencies among methods, which cause confusion rather than clarity in the extant literature. Additionally, the author emphasises that three distinct streams further drive the debate on the regional/global nature and present further limitations of methods not mentioned in the literature to date.

This paper provides the most comprehensive review of the existing literature on FLM, resulting in five novel aspects of measuring FLM. The analysis of a sample of 35 European firms demonstrates and identifies the ambiguity and limitations of FLM-measuring methods.

This study responds to the need for further research to examine determinants that impact innovation creation in higher education institutions.

The study is a quantitative analysis; it uses 133 responses derived from respondents from several universities in Indonesia. The data are analyzed by using SEM-PLS. In the analysis, after having the inner model, then, the outer model is calculated. The research establishes a 95% confidence interval and conducts 500 bootstraps.

The results of this study indicate, firstly, the business and university partnerships, entrepreneurship orientation, and information technology facilities significantly influence innovation creation; secondly, measuring the impact in universities will strengthen the business and university partnerships, entrepreneurship orientation, and information technology facilities on the innovation creation.

This research implies that universities need to measure the impact and develop a proper measurement to enhance innovation through their relationship with their industrial partnerships and information technology facilities. However, the research has a limitation; the study is only conducted in state universities.

The research measures the impact of the university–business partnership, entrepreneurship orientation, and IT facility. These determinants' effectiveness needs a measurement scheme to improve the innovation creation outputs, quantity, and quality.

Universities have an essential role in developing entrepreneurship competence for students and staff by nurturing innovation creation. It will benefit the staff in managing tasks and the students after they graduate to create businesses. This study aims to provide an in-depth analysis of determinants that affect innovation creation in higher education institutions in Indonesia.

This paper aims to identify and empirically analyze useful and applicable metrics for measuring and managing the sustainability performance of small and medium-sized enterprises (SMEs).

To achieve the objective of the paper, potential metrics were adopted from previous research related to industrial sustainability and an empirical analysis was carried to assess the applicability of the metrics by collecting empirical data from Italian footwear SMEs using a structured questionnaire. The SMEs were selected using a convenience sampling method.

The results of the within-case analysis and the cross-case analysis indicate that the majority of the metrics were found to be useful and applicable to each of the SMEs and across the SMEs, respectively. These metrics emphasized measuring industrial sustainability performance related to financial benefits, costs and market competitiveness for the economic sustainability dimension; resources for the environmental sustainability dimension; and customers, employees and the community for the social sustainability dimension.

Apart from the within-case analysis and cross-case analysis, it was not possible to conduct statistical analysis since a small number of SMEs were accessible to collect empirical data.

The findings of the paper have considerable academic, managerial and policy implications and will provide a theoretical basis for future research on measuring and managing industrial sustainability performance. By providing a set of empirically supported metrics based on the triple bottom line approach (i.e. economic, environmental and social metrics), this paper contributes to the existing knowledge in the field of industrial sustainability performance measurement.

The paper aims to develop a system and measuring method for investigating the dynamic pressure behavior of compression garments.

The dynamic pressure behavior measurement, realized by use of the self‐designed system, is a direct measuring method, which is based on a rigid hemisphere with five pressure sensors distributed on its surface. The dynamic pressure is measured over time under the process of fabric 3D deformation. The pressure distributions at the basic five sites are accepted as the measuring results. The dynamic stiffness index can be calculated from dynamic pressure profile and 3D deformation of compression garments.

The measuring system records the pressure‐time curve and pressure‐deformation curve. The dynamic pressure stiffness index expresses the change in pressure owing to the change in elongation of compression fabrics. The pressure measuring system and the index provide much information in the field of compression garment assessment.

Another characteristic that was not mentioned but important is pressure hysteresis, which can give the information about pressure decay when fabrics undergoing repeated stretch and relaxation. The influence factors of hysteresis and its role in compression garments also requires further research.

To determine and characterize the dynamic pressure behavior of compression garment under 3D deformation, this study develops a measuring system and defines a new index. The measuring system can be used in scientific research institutes and factories, contribute to optimize process parameters and quality control of compression garment.