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Building on a series of earlier studies of the relationship between quality and international clothing supply chains, this paper focuses on the role of independent test houses in order to further explore the tensions between cost and quality imperatives operating in the process of internationalisation. The paper, using qualitative data derived from semi‐structured face‐to‐face interviews, first establishes a theoretical perspective on the position of testing and the test house in the supply chain, before turning to an examination of the cultural attributes of test houses, retailers and manufacturers. This approach allows for an assessment of the value accorded to quality issues. The paper concludes by stressing the dominance of the cost imperative.

Examining quality control in the context of international supply chains, the paper argues that, in general, there is a need for more empirical work in the field of supply‐chain studies. Empirical data are presented, derived from multiple case studies conducted via in‐depth questionnaires; potential analytical frameworks are also introduced. In particular, the relationship between quality control and the configuration of supply chains is explored in terms of imperatives, preferences and wider processes of restructuring. This approach allows for the identification of tensions between cost and quality imperatives that impact on supply‐chain configuration.

Purpose – This chapter aims at investigating the impact of cross-border knowledge spillovers on technological innovation in the renewable energy sector.

Methodology/approach – The analysis presented in the chapter assumes that technological knowledge exhibits several tacit elements and requires established connections to flow between countries. A new measure for knowledge spillovers is obtained by weighting international R&D stocks through bilateral trade flows. The country-level patenting activity is modelled through a knowledge production function. The sample includes 18 OECD countries over the 1990–2006 period. Estimates are obtained through panel data techniques.

Findings – Our econometric results show that international knowledge developed by other countries has positive effects on the focal country's innovation in renewable energy technologies. Cross-country linkages, rather than mere geographic proximity, are found to favour cross-country knowledge spillovers.

Impact – The research contributes to the design of energy innovation policies. Public R&D is confirmed to be a relevant input to energy innovation. Coordination between countries in energy R&D activities can be required, particularly when countries maintain mutual linkages.

Originality – This study adds empirical evidence on the effect of cross-country knowledge spillovers and on the channels through which technological knowledge diffuses globally. It contributes to the emerging empirical research on energy innovation.

This paper aims to empirically investigate the impact of the carbon intensity constraint policy (CICP) on green innovation.

This study takes the implementation of the CICP as a quasi-natural experiment and uses a quasi–difference-in-difference method to investigate the impact of the CICP on firm green innovation from a microeconomic perspective.

The CICP significantly limits the quality of firms’ green innovation. Among the range of green patents, the CICP distorts only patents related to CO₂ emissions. The inhibitory effect is more pronounced in non-state-owned enterprises and heavily polluting firms. R&D investment and green investor are identified as the main mechanism.

These findings provide evidence for the influence of the CICP on firm green innovation, which can guide policymakers in China and other emerging economies that prioritize carbon intensity constraint targets and the improvement of relevant auxiliary measures.

Governments and firms should have a comprehensive understanding of environmental policies and corporate behavior and need to mitigate the negative impact through a combination of measures.

This study contributes to the literature by providing additional empirical evidence regarding the two opposing sides of the ongoing debate on the positive or negative effects of CICP. It also provides new evidence on the policy effect of the CICP on firm green innovation, together with its mechanisms and heterogeneous influences.

This paper aims to provide details of recently reported work on the use of nanomaterials in sensors for physical variables.

Following a short introduction, this paper first discusses research involving the use of a range of nanomaterials for strain sensing. It then considers the applications of these materials to sensors for pressure, force, touch and allied variables. It concludes with a brief discussion and 33 references.

This paper shows that nanomaterials such as carbon nanotubes, graphene, metallic nanoparticles and nanowires are being studied extensively in the physical-sensing context. All manner of sensors have been developed, based on a diversity of principles and technologies, and many offer excellent performance and unique capabilities, making them particularly well-suited to emerging applications such as wearable sensing devices.

This paper provides a detailed and timely review of the rapidly growing body of research into the use of nanomaterials for sensing physical quantities.

The purpose of this paper is to explore teenagers' and young adults' use of social networking sites (SNS), in light of certain personal, social and educational outcomes and attitudes.

Data were gathered on the basis of surveys, and were analyzed through a series of multivariate models.

It was found that participants' reasons and motivations for online presence varied as a function of gender and age. Different degrees of Facebook usage were linked with different school‐related attitudes. More specifically, more extensive usage was associated with more negative school and peer attitudes; more so for females and for college students. Furthermore, greater reliance on online interactions for social and emotional support was found disadvantageous for college students, while neutral or in some cases beneficial for high school students.

Gender and educational level appear to be important factors explaining some of the variation in school‐related attitudes, and thus should be explored separately.

The differential impact of online presence on school attitudes for college and high school students highlights the need for teachers and student advisors to be sensitive to such transitional groups.

The authors found that more popular students, those often viewed as “opinion leaders”, tended to show more negative school outcomes than less popular students in general; a relevant point for organizations.

Facebook usage and school‐related attitudes were observed simultaneously in high school and college populations studying in Budapest, Hungary.

Most college athletics department have not sold corporate naming rights to their athletics facilities. Popp et al. (2016) suggests two primary reasons: (1) difficulty in determining proper valuation and (2) fear of stakeholder backlash. The purpose of the current study is to address both concerns by utilizing a hedonic pricing model predicting collegiate naming rights values and utilizing fixed-effects models to determine if consumer behavior (event attendance and donations) is impacted by a corporate name change.

Data from 110 naming rights agreements among NCAA Division I programs were examined, alongside market-related variables, institution-related variables and venue-related variables. Utilizing hierarchical model building to reduce independent variables and OLS regression modeling, significant relationships with annual value of naming rights agreements were uncovered. Fixed effects models were utilized to determine if naming rights impacted attendance and donations.

A final model explained more than 53% of the variance in average annual value of naming rights agreements, with three significant factors: (1) attendance, (2) all-time winning percentage and (3) venue construction cost. Fixed-effects models revealed no significant differences in attendance or donations after a naming rights deal was signed.

Corporate naming rights agreements for college athletics facilities are a recent phenomenon. While a similar study examining drivers of collegiate sport naming rights was previously conducted, the current study revealed a shifting marketplace. In addition, no prior study has examined the impact of a corporate naming rights agreement on future attendance and donations.

Researchers began investigating the diffusion of renewable energy technologies (RETs) in the late 1990s, and, up to today, a variety of authors have presented different approaches to understand the special characteristics of RET diffusion. However, one factor has been thus far disregarded in the research: the influence of raw material prices on RET diffusion. The dependence of a multitude of technologies on raw material prices became especially apparent in recent years due to rather sudden and volatile price movements in raw material markets. Thus, the aim of this work is to contribute to the research by providing evidence for a direct linkage between raw material price developments and RET diffusion.

A theoretical framework used in this article derives from the concept of induced diffusion. This empirical study is based on publicly available data of 18 Organisation for Economic Co-operation and Development (OECD) countries over 20 years and uses multivariate regression analysis to identify the corresponding diffusion models for selected established and emerging RETs.

Results reveal that crude oil prices play a crucial role in the diffusion of emerging RETs. In addition, a joint reflection of induced diffusion and path dependencies as the theoretical foundation of RET diffusion models might be reasonable.

This paper makes a significant contribution to the literature on induced diffusion in the field of renewable energies by providing insights from publicly available data from 18 OECD-countries. The findings are highly relevant for managers of the energy industry and policymakers in this field.

Sport ticket sales is often positioned as a “foot in the door” to the sport industry due to ample job opportunities, but anecdotal reports of high turnover raise questions of the efficacy of recruitment, training and retention efforts in sport sales. The purpose of this study was to determine attrition levels among entry-level ticket sales personnel, observe whether entry-level sales positions lead to other non-selling positions within sport organizations and determine if education and market related variables are related to job tenure.

LinkedIn profiles were analyzed for 1,122 entry-level ticket salespeople listed in media guides between 2015 and 2019 in the “Big Four” North American professional sports leagues. Names were obtained from 26 NBA, 21 MLB, 20 NHL and 12 NFL teams. Survival analysis provided defection rates and demonstrated the relationship between those rates and key variables.

One in every four entry-level ticket salespeople defected within the first year and one in every two defected within 26 months. Only 8% moved on from ticket sales to a non-sales role within the sport industry. Increases in cost of living, working for an NFL team and having sport industry experience prior to taking a sales position decreased the likelihood of defecting, while increased distance between the salesperson's university and the team's location increased the likelihood of defecting.

This study applies survival analysis to a sport human relations context to understand turnover in a specific occupational discipline and establishes the turnover rate for sport sales positions.

This paper aims to present the mathematical foundation of so-called advance algorithms, developed to compensate for defects during acceleration and deacceleration of the print head in filament-based melt extrusion additive processes. It then investigates the validity of the mathematical foundation, its performance on a low-cost system and the effect of changing layer height on the algorithm’s associated process parameter.

This study starts with a compilation and review of literature associated with advance algorithms, then elaborates on its mathematical foundation and methods of implementation. Then an experiment displaying the performance of the algorithm implemented in Marlin machine firmware, Linear Advance 1.0, is performed using three different layer heights. The results are then compared with simulations of the system using Simulink.

Findings suggests that advance algorithms following the presented approach is capable of eliminating defects because of acceleration and deacceleration of the print head. The results indicate a layer height dependency on the associated process parameter, requiring higher compensation values for lower layer heights. It also shows higher compensation values for acceleration than deacceleration. Results from the simulated mathematical model correspond well with the experimental results but predict some rapid variations in flow rate that is not reflected in the experimental results.

As there are large variations in printer design and materials, deviation between different setups must be expected.

To the best of authors’ knowledge, this study is the first to describe and investigate advance algorithms in academic literature.