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The purpose of this paper is to propose a new method for knowledge worker productivity measurement which is based on valid principles and appropriate viewpoints.

Based on an extensive and thorough literature review the elements that need to be taken into consideration, while designing a method for knowledge worker productivity measurement, are determined and divided into principles and viewpoints. These elements must be incorporated into the design of knowledge worker productivity measurement methods so that the correctness and accuracy of these methods can be verified. The proposed model, which is based on appropriate principles and viewpoints, determines the outputs of knowledge work with respect to the tasks that a worker’s job includes. Considering nine measures, these outputs are evaluated using fuzzy numbers and, then, quantified. The inputs of knowledge work are knowledge, skills and abilities (KSAs) required to do the job. These inputs are identified and quantified using Job Element Method. Furthermore, fuzzy Data Envelopment Analysis is employed to model the productivity.

In this paper, the proposed method for knowledge worker productivity measurement follows both appropriate principles and viewpoints, simultaneously. In order to validate the obtained results and explore the applicability of the proposed method, a case study was carried out at an Iranian organization in electric power industry. Statistical analyses are employed to prove the validity of the results. Based on the obtained results, the productivity of a knowledge worker is said to be high when he/she delivers the expected amount of job outputs considering the values of his/her inputs (KSAs).

The originality of this paper is twofold. First, the extracted principles and viewpoints can serve as a guideline for the development of similar methods. Second, the proposed model offers an effective and efficient tool that can serve as the basis for the comparison among relative productivity of knowledge workers. Furthermore, the obtained results could form a basis to examine the productivity trend of each knowledge worker over different periods of time.

We examine how design and implementation practices for supply chain performance management that have proven successful in commercial organisations apply to humanitarian organisations (HOs) to guide the process of designing and implementing performance management in humanitarian organisations.

We identify from the literature ten successful practices regarding the design and implementation of supply chain performance management in commercial businesses. We apply these, using action research over a four-year period, at Médecins sans Frontières (MSF) Belgium and draw conclusions from this.

We find that tools and techniques, such as workshops and technical sheets, are essential in designing and implementing supply chain performance measurement projects at HOs. Furthermore, making a link to an IT project is crucial when implementing performance measurement systems at HOs. Overall, our case study shows that performance management practices used in business can be applied and are relevant for humanitarian supply chains.

Previous research has argued that there are few empirical studies in the domain of performance management at humanitarian organisations. To the best of our knowledge, this paper is the first to provide a longitudinal understanding of the design and implementation of supply chain performance measurement at HOs.

Though many studies and reports have been published about the scale of identity fraud (IDF), no work has been done on developing models to measure IDF. The purpose of this paper is to propose a measurement model for IDF and test the validity of that measurement model.

After providing a background on the concepts of IDF, the paper discusses the related term, identity theft. Next, a measurement model is developed, based on the current practice of measurement of IDF in four countries. Exploratory factor analysis (EFA) is used in identifying the indicators and factors of IDF. After the EFA is conducted, confirmatory factor analysis is employed to test the validity of the measurement model. These tests are conducted using the data collected from Canadian financial institutions.

The review of the current empirical studies suggests that IDF should be assessed using a measurement model with 33 indicators to measure five factors of IDF. However, the analysis of Canadian financial institutions suggests that a measurement model that includes 27 indicators and four factors is most appropriate for the data.

The measurement model developed in the present paper is based on an examination of a sample of financial institutions in Canada. Hence, the results of this paper cannot be generalized to organizations in other sectors of the economy. Further studies in other sectors of the economy are required to identify industry‐specific measurement model.

This paper is the first approach toward developing a model for measuring IDF.

This paper is the first study that attempts to scientifically identify and validate a measurement system in the area of IDF.

This paper revisits the recent work of Chan and Qi which proposed an innovative performance measurement method for supply chain management. While the measurement method has many advantages, it can be unwieldy in practice. This paper aims to address these limitations and to propose a more user‐friendly alternative performance measurement model.

The performance measurement model described in this paper is a combination of two existing methods: Chan and Qi's model and the supply chain operations reference (SCOR) model. To demonstrate the applicability of the combined approach, actual SCOR level 1 performance data and the measurement information from a case supply chain (SC) are collected and processed by Chan and Qi's measurement algorithm.

These two methods complement each other when measuring SC performance.

This paper develops a practical and efficient measurement model that can resolve SC performance problems by incorporating the strengths of two different measurement models to create a synergistic new model.

The groundwork of intellectual capital (IC) management, measuring IC, attracts much attention from academics and practitioners. The purpose of this paper is to design a measurement model and a qualitative index system of IC, so as to provide a good tool for enterprises to manage their IC. Based on a review of several IC measurement models proposed by western researchers, IC is classified into human capital, structural capital, innovation capital and customer capital, and thereupon a qualitative index system for the above four IC elements is designed through an analysis of their contents. Through an empirical study, it is found that there is a significant relationship between the scores of the four IC elements of a company and its business performance, which proves the validity and rationality of the IC measurement model and the qualitative index system. In the meantime, the empirical study further proves that there is a remarkable relationship between the four IC elements. Therefore enterprises must manage and improve their IC from an integrative perspective.

The purpose of this paper is to explore the ways in which various dimensions of supply chain performance (SCP) can be improved through increased levels of process orientation across different core operational processes. This study aims to provide simple guidelines which are practical for business managers.

A conceptual model was developed based on the literature review and it was tested using an empirical study. Various factor analysis techniques are used to construct different components of the research model and test the hypotheses.

This study provides two main categories of findings. First, based on the exploratory analysis several constructs were developed. Second, using structural equation modeling the relationships among the constructs were examined. The findings suggest that managers need to take a targeted approach in increasing the levels of process orientation in order to achieve particular SCP goals.

The result of this study is not indented to be generalized to all businesses; however, the methodology is flexible enough to be utilized in different industries and business scenarios.

The present study provides specific recommendations for business managers seeking to enhance various aspects of their organizational SCP. The research model can be used for future empirical as well as case studies.

This is the first comprehensive empirical study that separately measures business process orientation with respect to four core supply chain processes (planning, sourcing, making, and delivering) and assesses the impact of each core process on various dimensions of supply chain performance.

This study developed a systematic measurement scale for the organizational knowledge creation practices. The authors used five knowledge creation phases – sharing tacit knowledge, creating concepts, justifying concepts, building prototypes, and cross‐leveling knowledge – from Nonaka et al.'s knowledge conversion theory as the theoretical foundation.

A total of 914 survey responses collected from 14 for‐profit Korean business organizations representing the country's leading businesses were used to examine the factor structure of those five phases, using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA).

Results confirmed that the current version of knowledge creation practice measurement, which has five sub‐dimensions along with ten items, is valid and applicable specifically in the Korean for‐profit business context in terms of the psychometric properties of the measurement and measurement factor structure.

The generalization issue still remains one of the research limitations because all data sets were collected from Korean business organizations. More sample diversity needs to be considered for further research in terms of cross‐cultural comparison research, which could strengthen the validity of the current developed measurement.

From the practical standpoint, organizations can utilize this measurement to diagnose their status of knowledge creation, at team and organization levels.

This measurement could promote more dynamic research on areas of knowledge creation in terms of valid and economic size of measurement. From the practical standpoint, organizations can utilize this measurement to diagnose their status of knowledge creation at team and organization levels.

Using the BSC as the starting point, the purpose of this paper is to present a theory on nonprofit performance management and describes how an overall performance index (OPI) was empirically developed to assess the strategic performance of a nonprofit organisation (NPO).

A conceptual model was developed from the literature. This was refined into a testable theoretical model using case studies. Thereafter, the theoretical model and an accompanying measurement model on OPI were validated using quantitative data (n=223) collected from a sample of healthcare NPOs in Australasia.

The measurement model was found to be a good fit to data. The model parameters (weights) pertaining to the OPI represent six PM dimensions (Mission; Strategy; Organisational Capabilities, Infrastructure and People Development; Financial Health; Processes; and Stakeholder Satisfaction) and 13 sub-dimensions. These parameters provide a tenable scoring system to assess the strategic performance of a NPO.

The parameters (hence the scoring system) were estimated from data collected from a particular sector (healthcare) and a region (Australasia).

The findings can be used for comparative benchmarking (e.g. by managers and major donors) of NPOs, better governance and to initiate major performance improvement initiatives.

This study is the first empirical study that has been undertaken to develop an OPI for NPOs. The findings can be readily used by the practitioners.

Academic conferences play a crucial role in fostering scholarly exchanges and discussions among core members, thereby shaping the core performance of these events. Understanding the contributions of scholars in academic conferences is essential for advancing the goals and development of such events. This paper aims to discuss the aforementioned idea.

This paper proposes a comprehensive measurement method for measuring scholars' academic activeness in academic conferences. Based on the essence of academic activeness, a measurement model is constructed, comprising the breadth of academic activeness using the RFM model and the depth of academic activeness using the ATM model. Additionally, effective categories of scholars are derived from the model, facilitating the identification of valuable scholars in academic conferences.

Empirical evidence from ASIS&T conference records over the past 20 years demonstrates that the proposed measurement indicators have better coverage compared to traditional evaluation indicators, thus complementing existing scholar evaluation indictators. Furthermore, the academic activeness measurement model presented in this paper exhibits good efficacy in identifying important value and active scholars.

This paper pays attention to the activeness of scholars in academic conferences. It broadens the evaluation of academic conferences and scholars and supplements the evaluation indicators of academic influence.

The purpose of this study was to review existing healthcare service quality-measurement models.

A review of the literature was conducted utilizing keywords “healthcare’’, “service quality’’, “measurement models”, “SERVQUAL”, “SERVPERF”, “HEALTHQUAL”, “PubHosQual” and “HospitalQual”. These investigations were selected from the “Emerald’’, “ABI/Inform”, “ScienceDirect” and “EBSCOhost” databases. A range of studies used in the makeup of the healthcare quality-measurement model for a 36 years period (1979 to 2015) were examined in an exhaustive survey of the literature. Of 137 studies reviewed, 74 studies were selected for analysis.

As yet, no consensus has been reached among scholars on the definition and indicators and factors of the quality of the healthcare services. Moreover, most of the current models are of Western origin and incongruent with the cultural and economic contexts of developing countries. The previous studies create scales resembling the generic measures of service quality, which may not be completely appropriate for assessing the perceived quality of healthcare services. Furthermore, previous studies were too narrow, overemphasizing the quality of healthcare only as far as the functional aspect of the services were concerned and paying too little attention to the technical aspects, using the experience of healthcare providers. These results have much room for failures. This is therefore advising healthcare organizations that need to develop their own models for measuring the quality of their services.

Generic models no longer suffice in measuring the quality of healthcare services. Developing countries should try and develop their own models for measuring the quality of healthcare services.