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This paper aims to investigate how different knitted structures affect the illuminative effect of polymeric optical fibres (POFs).

Knit prototypes were constructed using a 7-gauge industrial hand flat knitting machine. The textile prototype swatches developed in this study tested POF illumination in three types of knitting structures: intervallic knit and float stitch structures; POF inlaid into double plain and full cardigan structures; and double plain and partial knitting structures. The illuminative effects of the POFs in seven prototype swatches were analysed and compared.

It is possible to use an industrial hand flat knitting machine to knit POFs. Longer floats expose more POFs, which boosts illumination but limits the textile’s horizontal stretchability. The openness of the full cardigan structure maximises POF exposure and contributes to even illumination. The partial knitting in different sections achieves the most complete physical integration of POFs into the knitted textiles but constrains the horizontal stretchability of the textiles.

The integration of POFs into knitted textiles provides a functional illuminative effect. Applications include but are not limited to fashion, architecture and interior design.

This study is novel, as it investigates new POF knitted textiles with different loop structures. This study examines how knit stitches affect POFs in intervallic knit and float stitch, inlaid POF double knit, double plain and partial knit and the illuminative effects of the knitted textile.

The purpose of this research is to ascertain the feasibility of fabricating polymer optical fibers (POFs) based textile structures by knitting with Polymethylmethacrylate (PMMA) based optical fibers for textile sensor application. It has long been established that by using the principles of physics, POFs have the capability to function as sensors, detecting strain, temperature and other variables. However, POF applications such as strain and pressure sensing using knitting techniques has since not been very successful due to a number of reasons. Commercially available PMMA-based optical fibers tend to be fragile and susceptible to breakages when subjected to stress during the knitting processes. Also light transmitted within these fibers is prone to leakage due to the curvature that results when optical fibers are interlaced or interlooped within fabric structures.

Using Stoll’s multi-gauge CMS 350 HP knitting machine, five fabric structures namely, 1 × 4 float knit structure, tunnel inlay knit structure, 3:1 fleece fabric and 2:1 fleece fabric structure respectively were used to knit sensor samples. The samples were subsequently tested for length of illumination and sensitivity relative to applied pressure.

The results of this preliminary study establish that embedding plastic optical fibers into a knitted structure during the fabric formation process for soft strain sensor application possible. The best illumination performance was recorded for tunnel inlay structure which had an average of 94 cm course length of POF being illuminated. Sensor sensitivity experiments also establish that the relative spectral intensity of the fiber is sensitive to both light and pressure. Problems encountered and recommendations for further research have also been discussed and proffered.

Due to resource limitations, an innovative technique (use of precision weight set) was used to apply pressure to the sensors. Consequently, information regarding the extent of corresponding sensor deformation has not been used in this initial analysis.

Because the fundamental step toward finding a solution to any engineering problem is the acquisition of reliable data, and considering the fact that most of the popular technologies used for soft textile sensors are still bedeviled with the problem of signal instability and noise, the success of this application thus has the tendency to promote the wide spread adoption of POF sensors for smart apparel applications.

As far as research on soft strain sensors is concerned, to the best of the authors’ knowledge, this is the first study to have attempted to knit deformable sensors using commercially available POFs.

In contrast to other Chinese sports, which attract enormous commercial interests and relates to a kind of political kudos and ideological significance, Chinese baseball represents a singular case for the author to investigate the way in which China responds to sport globalisation due to its peripheral position in, and limited resource from, the domestic sport system and powerful stakeholders from the global society. The study examines the development of Chinese baseball and its interplay with the global sport giants and international events (i.e. the Olympic Games and the Major League Baseball [MLB]). Given the influence of sport globalisation, the author also identifies the consistent dominance of Chinese sport authorities and the spectrum of local stakeholders' reaction towards globalisation. The chapter ends with a discussion of the relationship between marginal position of Chinese baseball in the local sport system and the rationale of its response to sport globalisation.

The chapter articulates the transition to and evolution of the commercialisation of Chinese professional football. It is periodised based on major turning points. The research yielded two major findings. First, there exists a distinct ‘Chinese way’ of commercialising football. However, it does not indicate that Chinese football doggedly avoided the Western governance model. For the club governance, Chinese football authorities set about recommending privately operated enterprises, large and medium-sized state-owned enterprises. Second, the commercialisation transitions of professional football in China were triggered by exogenous policy shifts, rather than endogenous changes in market structures, resulting in higher horizontal financial fragility than is associated with the commercialisation model adopted in more developed Western markets. The applicability to voluntary football clubs is assessed as well.

An abundance of techniques has been presented so forth for waste classification but, they deliver inefficient results with low accuracy. Their achievement on various repositories is different and also, there is insufficiency of high-scale databases for training. The purpose of the study is to provide high security.

In this research, optimization-assisted federated learning (FL) is introduced for thermoplastic waste segregation and classification. The deep learning (DL) network trained by Archimedes Henry gas solubility optimization (AHGSO) is used for the classification of plastic and resin types. The deep quantum neural networks (DQNN) is used for first-level classification and the deep max-out network (DMN) is employed for second-level classification. This developed AHGSO is obtained by blending the features of Archimedes optimization algorithm (AOA) and Henry gas solubility optimization (HGSO). The entities included in this approach are nodes and servers. Local training is carried out depending on local data and updations to the server are performed. Then, the model is aggregated at the server. Thereafter, each node downloads the global model and the update training is executed depending on the downloaded global and the local model till it achieves the satisfied condition. Finally, local update and aggregation at the server is altered based on the average method. The Data tag suite (DATS_2022) dataset is used for multilevel thermoplastic waste segregation and classification.

By using the DQNN in first-level classification the designed optimization-assisted FL has gained an accuracy of 0.930, mean average precision (MAP) of 0.933, false positive rate (FPR) of 0.213, loss function of 0.211, mean square error (MSE) of 0.328 and root mean square error (RMSE) of 0.572. In the second level classification, by using DMN the accuracy, MAP, FPR, loss function, MSE and RMSE are 0.932, 0.935, 0.093, 0.068, 0.303 and 0.551.

The multilevel thermoplastic waste segregation and classification using the proposed model is accurate and improves the effectiveness of the classification.

This paper used Zikic’s (2015) integrated framework for managing diversity to review the skilled migrant literature and explore reasons non-English-speaking background (NESB) skilled migrants (SMs) are disadvantaged in the host country recruitment market. This research examines organisations’ role in attracting and facilitating the entry of NESB SMs to their organisations and embracing diversity and inclusion in the workplace.

The authors conducted a systematic literature review following the integrated framework combining the intelligent career theory and the resource-based view. This framework allows the exploration of the challenges NESB SMs face with their career capital in the host country concerning the people management systems and processes organisations often use in recruitment.

This review revealed multiple challenges NESB SMs face when negotiating their workplace transition in the host country destinations. The study shows that the underutilisation and underemployment among NESB SMs are partly caused by these SMs’ foreign experiences but mainly by the host countries’ “NESB SM-unfriendly” recruitment practices. It also uncovers gaps between macro, meso and micro levels in SM recruitment.

A limitation inherent in a systematic literature review is that the effectiveness of the search is contingent upon the quality of the search strings used. Second, the core themes in the synthesis were identified following Zikic’s (2015) integrated framework and focused only on individual/micro factors of SMs and meso/organisational factors. Many other structural and contextual factors were not included in the review. This review is also limited to NESB SMs’ recruitment. Nonetheless, this process helps us achieve the core aim set for this review, to explore the reasons behind the hardships NESB SMs face when searching for ways to enter the host professional job market and the role of organisations in attracting and facilitating NESB SMs’ labour market entry.

This research connected NESB SMs’ micro-level difficulties to the meso layer of organisations’ HRM policies. This review clarified the role of organisational strategic HRM in attracting and welcoming NESB SMs into their organisation before leveraging their career diversity. The findings from the review also assisted in extending Zikic’s (2015) integrated framework.

Pre-construction of a project comprises stages that are pivotal for the procurement performance. It is defined as the duration from the project's initiation to construction. However, Private Public Partnerships (PPPs) have been subjected to a long pre-construction, thereby leading to an inefficient development process. Therefore, the purpose of this paper is to pay attention to the influencing factors elongating the pre-construction duration.

Based on data of 5,677 PPP projects between 2009 and 2021 in China, the authors adopt the Accelerated Failure Time (AFT) model in duration analysis to empirically analyze the following underlying dynamics determining the duration of PPP pre-construction stages: (1) policy uncertainty; (2) corruption; and (3) procurement method selection. To observe the influencing paths more specifically, the authors divided the pre-construction duration into the pre-tendering period and tendering period and regressed them separately.

The results indicate that the pre-construction duration is significantly prolonged with increased policy uncertainty and corruption degree as well as the use of tendering methods. Meanwhile, the above factors have a greater impact on the pre-tendering period than the tendering period.

The contribution of this study is twofold: (1) theoretically, this paper provides new evidence on the impact of PPP policy uncertainty, corruption and procurement method selection on the pre-construction duration. It complements empirical studies on the factors elongating the time efficiency of PPPs projects. (2) In practice, it provides a specific path for the government to improve the time efficiency of PPPs.

Given the contradictory findings of standardization/adaptation of marketing strategy in explaining export performance in the extant research, this study aims to examine the contingent effects of managerial ties and born global orientation in the standardized advertising-export performance conceptualization.

The study used two-respondent method in the survey research by a sample of 155 exporting firms operating in the industrial marketing based in Australia and New Zealand and applied hierarchical regression analysis to test the hypotheses.

The findings demonstrate that standardized advertising has a significant effect on export performance and this relationship is positively moderated by business ties. Such effect is particularly enhanced for born global firms (than nonborn global firms). However, political ties negatively influence the impact of standardized advertising on performance and such effect is stronger for born global firms.

A broader perspective of contingent variables should be included to examine the underlying relationship between standardized advertising and export performance in capturing the dynamism in international marketing contexts, such as institutional frameworks or sociocultural environments in host countries.

Standardized advertising is critical for born global firms’ export performance as it can increase efficiency and speed up internationalization processes. Such positive impact of standardized advertising on export performance is further enhanced if born global firms allocate resources to develop strong business ties with host country partners instead of building political ties with host country governments, because smooth business networking can facilitate standardized advertising on industrial marketing, yet justifiable political relations require intricate negotiations that often prolong internationalization progress.

This study incorporates managerial ties and born global orientation as contingent factors in fixing the theoretic interlock between standardization advertising strategy and export firm performance.

This study aims to explore the intersection of AI-generated learning materials and active learning strategies in higher education artificial intelligence (AI) is bringing about changes and opening up new possibilities for an improved and more efficient higher education. However, the argument is that its use in education/classroom should be informed by verifiable evidence as well as best practice, which this scholarly work helps build evidence-based research to assess this technology in higher education.

Primary data was collected through structured questionnaire administered online via Google form. Based on the non-probability sampling technique, 300 higher education tutors and students across the UK were purposively targeted, out of which 218 (72.7%) response rate was achieved. Data was analyzed using descriptive statistics with the aid of Statistical Package for Social Sciences, whereby regression, correlation and Chi-square tests were conducted to determine the statistical significance, direction and strength of the relationship between the measured variables.

This study revealed that AI-generated learning materials support active learning strategies that enable students to actively engage in their learning, likewise enabling students to develop deeper understanding of their course content with significantly better knowledge retention, which is critical to the learning process. However, findings further revealed that acceptance/regular use of AI-generated learning materials is still below par across the higher education institutions, and there is major concern that the benefits may not be fully realized due to barriers to adoption.

There are limitations that future studies can improve on, especially in terms of methodology. Pragmatism is a philosophical research stance that integrates quantitative data collection with qualitative data (such as interviews) and will ask in-depth questions to gain holistic quality data for such empirical. Future studies can also improve on the research scope to allow for generalizability of findings and check for potential biases in the data collection, analysis and interpretation processes.

Despite the huge anticipation regarding how AI technology could transform teachers’ roles in higher education, concrete research into AI-generated learning materials and actual impact in facilitating active learning strategies and knowledge retention is currently lacking. This study presents theoretical models on AI acceptance in higher education and explored the Technology, Pedagogical and Content Knowledge framework to inform empirical information on how AI can support active learning strategies and students’ knowledge retention.

The purpose of this paper is to share two Indigenous perspectives on diversity, equity and inclusion (DEI). It is grounded in aspirations for de-othering and de-colonisation. De-othering is the unpicking of the status of “other” bestowed upon us by the dominant culture, and de-colonisation involves the deconstruction of the ways the settler states in which we live have defined and oppressed us.

The methodology is a critical self-reflection, drawing on the lived experience of two Indigenous scholars in business fields outside of the international business discipline.

The findings explore policies, like affirmative action emerging in the 1960s, to the pantheon of DEI theory and strategies developed, as tools of the dominant culture, albeit well-meaning, that perpetuate the dependency of the “other” on the largesse of the “dominant”, which ultimately maintain relations of oppression.

The limitations of the paper include, that we cannot speak for all Indigenous peoples. This paper is a personal viewpoint and is not a meta-analysis of theory and literature. The authors draw on the personal, which for Indigenous peoples is also the political, perspectives, that are steeped in their cultural histories and identities, and underpinned by their aspirations for social change and social justice for their peoples.

The authors offer practical implications for those Indigenous Peoples and allies looking to develop empowering strategies for de-othering individuals and communities defined by dominant cultures as “others”, which in turn has social implications for engagement in truly empowering work in social justice at the borderlands of power, particularly in terms of international business guided by ethics and social responsibility.

In this paper, the authors use the following terms: Maori, Aboriginal and Torres Strait Islander, First Peoples and Indigenous Peoples. They use the term Peoples to denote that they are not one homogenous People but a collective society that consists of many distinct communities, peoples and nations.

The authors offer practical implications for those Indigenous Peoples and allies looking to develop empowering strategies for de-othering those defined by dominant cultures as “others”, which in turn has social implications for those engaged in truly empowering work for social justice at the borderlands of power, particularly in terms of international business guided by ethics and social responsibility. They make no apologies for this paper, as it is entirely based on personal viewpoints.