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To make individualized men's basic upper garment patterns without sleeves, the authors developed a measuring garment that measures necessary body dimensions and angles all together. Additionally, the authors proposed a method for making individualized basic body block patterns using the obtained dimensions and angles.

The authors decided on the locations of the dimensions of the body required for making the individualized garments. The authors then sewed multiple stretchable capacitance sensors to corresponding locations on a stretchable T-shirt. To obtain the dimensions with sensors of short length, the authors indirectly obtained each length from the relationship between the actual body length and the capacitance of the sensor. Beforehand, the authors obtained linear-approximation equations for the relationship between actual body dimensions and the capacitance of sensors for five participants and a dummy. The authors then used the measuring garment and the equations to obtain the body dimensions of another six participants. The authors compared the obtained and actual body dimensions to verify the equations. The authors made individualized upper-garment patterns without sleeves and garments for the 11 participants with the obtained dimensions and angles. The authors verified the proposed method in wearing tests comparing garments designed using the proposed method with conventionally designed garments.

Using the measuring garment, the authors obtained body dimensions close to actual body dimensions. A pattern of the individualized basic upper garment using the obtained dimensions and angles could be drawn. Compared with the conventional patterns, the individualized patterns had notable differences in the locations of the shoulder point and side neck point and directions of the shoulder line, which relate to the shoulder shape (i.e. square, sloping, forward, or backward). In wearing tests, all participants declared that the individualized garment better fitted their shoulders than the conventional garment without tightness around the shoulders, neck, and armpits. The proposed method with the developed measuring garment was thus found to be effective in designing individualized garments.

This paper presents the possibility of not only measuring body dimensions but also designing individualized basic upper garments using the proposed measuring garment. The proposed measuring garment will assist the efficient manufacture of individualized upper garments without a three-dimensional scanner or special skills.

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.

Project managers rely on control strategies to deliver excellent outputs. However, little is known about how clients' project managers select control strategies in projects which are knowledge-intensive and have intangible outputs. This study aims to examine how clients' project managers select project control strategies in professional service projects.

A questionnaire survey of 360 architectural and engineering (A/E) design projects was adopted. Data were analyzed through the hierarchical regression.

Both clients' knowledge of measuring outcomes and process uncertainty give rise to their project managers setting up behavior and social controls. Level of process uncertainty positively moderates the impact of client's knowledge of measuring outcomes on outcome control.

This study mainly examined the client's knowledge of measuring outcomes and process uncertainties. Future studies could be conducted to expand the scope by including other contextual factors, for instance market and regulatory factors.

From the client side, if they want to simultaneously adopt outcome, behavior and social controls, they would need to increase their knowledge of measuring outcomes by adopting established assessment tools or appointing a third party to assist in design outcome evaluation.

This study contributes to the body of knowledge by showing that the level of intangibility of project outputs influences the types of control system which project managers adopt.

In the context of fixed-wing aircraft wing assembly, there is a need for a rapid and precise measurement technique to determine the center distance between two double-hole components. This paper aims to propose an optical-based spatial point distance measurement technique using the spatial triangulation method. The purpose of this paper is to design a specialized measurement system, specifically a spherically mounted retroreflector nest (SMR nest), equipped with two laser displacement sensors and a rotary encoder as the core to achieve accurate distance measurements between the double holes.

To develop an efficient and accurate measurement system, the paper uses a combination of laser displacement sensors and a rotary encoder within the SMR nest. The system is designed, implemented and tested to meet the requirements of precise distance measurement. Software and hardware components have been developed and integrated for validation.

The optical-based distance measurement system achieves high precision at 0.04 mm and repeatability at 0.02 mm within a range of 412.084 mm to 1,590.591 mm. These results validate its suitability for efficient assembly processes, eliminating repetitive errors in aircraft wing assembly.

This paper proposes an optical-based spatial point distance measurement technique, as well as a unique design of a SMR nest and the introduction of two novel calibration techniques, all of which are validated by the developed software and hardware platform.

This measuring system is designed to effectively simulate the mechanical reliability of the operated bone fixators. It can be used to pre-evaluate the mechanical performance of the operated fixator on the patients, including the static mechanical properties and fatigue properties when the patient walks after the operation.

It is mainly composed of a one-dimensional platform, a force sensor, a high measuring precision displacement sensor and a servo motor. Loading (which is used to simulate the loading status of the fixators after the operation) of the system is realized by the rotation of the servo motor. It can be read by a high precision force sensor. The relative displacement of the broken bone is obtained by a high precision laser displacement sensor. Corresponding theoretical analysis is also carried out.

Calibrated results of the system indicate that the output voltage and the measured force of the force sensors possess an excellent linear relationship, and the calculated nonlinear error is just 0.0002%. The maximum relative displacement between the operated broken bone under 700 N axial force is about 1 mm. Fatigue test under 550 N loading for 85,000 cycles also indicates the feasibility of the design.

This device is successfully designed and fabricated to pre-evaluate the mechanical performance of the bone fixators. High precision force sensor and displacement sensor are used to successfully increase the measuring ability of the system. This will offer some help to pertinent researchers.

This study developed new measures of the routine and non-routine task contents of managerial, professional, technical, and clerical occupations from a workload perspective. Here, we present a comparative analysis of the workload structures of state and industrial sector employees.

Our method involves detailed descriptions of work processes and an element-wise time study. We collected and analysed data to obtain a workload structure that falls within three conceptual task categories: (i) non-routine analytic tasks, (ii) non-routine interactive tasks and (iii) routine cognitive tasks. A total of 2,312 state and industrial sector employees in Kazakhstan participated in the study. The data were collected using a proprietary web application that resembles a timesheet.

The study results are consistent with the general trend reported by previous studies: the higher the job level, the lower the occupation’s routine task content. In addition, the routine cognitive task contents of managerial, professional, technical, and clerical occupations in the industrial sector are higher than those in local governments. The work of women is also more routinary than that of men. Finally, vthe routine cognitive task contents of occupations in administrative units are higher than those of occupations in substantive units.

Our study sought to address the challenges of using the task-based approach associated with measuring tasks by introducing a new measurement framework. The main advantage of our task measures is a direct approach to assessing workloads consisting of routine tasks, which allows for an accurate estimation of potential staff reductions due to the automation of work processes.

This study aims to identify the suitable indicators and their scale for measuring the level of logistic halal implementation and then develops the measurement system based on those indicators and scales. Moreover, this research also applies the measurement system in food, beverage, and ingredient companies.

This study collected data through web-based closed questionnaires and short telephone interviews. This study succeeded in obtaining seven valid data sets from filling out validation and analytical hierarchy process questionnaires by a panel of experts. This study also obtained 97 valid data sets from filling out the questionnaire about the current condition of each indicator related to halal logistics (HL) implementation. Then, the framework for measuring HL implementation was designed based on the multi-attribute value theory approach.

The aggregate value of HL implementation in ingredient companies belongs to the excellent implementation category. In contrast, the aggregate value of HL implementation in food and beverage companies only belongs to the good implementation category. Then, according to the size of the company, the large-sized companies have the higher means of the aggregate value of HL implementation for preferred indicators than small- and medium-sized companies. However, all size companies belong to the good implementation category.

This research has several limitations. The preferred indicators are only measured by the Likert scales. Future research may benefit from inducing the qualitative approaches to measure the condition of each indicator better. Secondly, this research only consisted of 97 food, beverages and ingredients companies. Thirdly, this research only measured the HL implementations to a particular sector or industry. Future research could benefit from replicating the work in similar and dissimilar contexts, adding the sample size and comparing the level of HL implementation between Muslim and non-Muslim companies, and moreover, enhance the measurement of HL implementation by including consumers and other actors involved, such as the government.

This research provided a basis for helping the government and policymakers understand and evaluate non-performing indicators in HL implementation before formulating several actions.

Understanding the current HL implementation conditions could facilitate a more effective response in designing some appropriate alternative actions.

This research contributed to measuring HL implementation with a new indicator, a new scale and a new object in an empirical case of food, beverages and ingredient companies in Indonesia.