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This chapter provides an exhaustive analysis on the development of cricket in China in order to advance existing theories of cricket's development and consider future implications for the international game. Adapted from two journal articles of He and Malcolm (2021) and He et al. (2023), it structures the development of cricket in China according to two key historical era: cricket as an ‘expatriate-only’ game and cricket as an ‘Asian Games sport’. The first era, cricket as an ‘expatriate-only’ game, is constructed according to three key phases: early development; post-war and the ‘opening-up’ era. The second era, cricket as an ‘Asian Games sport’, is constructed according to five periods: budding period (2003–2005), peak period (2006–2010), stable period (2011–2014), trough period (2015–2018) and revival period (2019–present). This paper offers a broadened examination of cricket's development in China, contending that cricket in the country (specifically the mainland) manifests itself in two distinct forms, that is, first, it survives as a grassroots sport, sustained by a resilient expatriate diaspora community. Second, it exists as a sport primarily directed by the state and bolstered by the Asian Games and deeply integrated into the Chinese educational system. It concludes that the degree to which the co-existed motives of multiple stakeholders aligned and misaligned, and the interdependence with the unstable ‘Asian Games sport status’ will serve as the cornerstone for cricket's future in China and contribute significantly to the international sport's global development.

Many studies have examined pre-diploma students' backgrounds and academic performance with results showing that some did not achieve the expected level of competence. This study aims to examine the relationship between students’ demographic characteristics and their academic achievement at the pre-diploma level using machine learning.

Secondary data analysis was used in this study, which involved collecting information about 1,052 pre-diploma students enrolled at Universiti Teknologi MARA (UiTM) Pahang Branch between 2017 and 2021. The research procedure was divided into two parts: data collecting and pre-processing, and building the machine learning algorithm, pre-training and testing.

Gender, family income, region and achievement in the national secondary school examination (Sijil Pelajaran Malaysia [SPM]) predict academic performance. Female students were 1.2 times more likely to succeed academically. Central region students performed better with a value of 1.26. M40-income students were more likely to excel with an odds ratio of 2.809. Students who excelled in SPM English and Mathematics had a better likelihood of succeeding in higher education.

This research was limited to pre-diploma students from UiTM Pahang Branch. For better generalizability of the results, future research should include pre-diploma students from other UiTM branches that offer this programme.

This study is expected to offer insights for policymakers, particularly, the Ministry of Higher Education, in developing a comprehensive policy to improve the tertiary education system by focusing on the fourth Sustainable Development Goal.

These pre-diploma students were found to originate mainly from low- or middle-income families; hence, the programme may help them acquire better jobs and improve their standard of living. Most students enrolling on the pre-diploma performed below excellent at the secondary school level and were therefore given the opportunity to continue studying at a higher level.

This predictive model contributes to guidelines on the minimum requirements for pre-diploma students to gain admission into higher education institutions by ensuring the efficient distribution of resources and equal access to higher education among all communities.

This study aims to characterize remote workers’ Airbnb experiences through the cognitive outcomes of their experiences and to consider the differences between long and short stays.

The structural topic model methodology was used to identify relevant topics. Data were collected from InsideAirbnb for Lisbon, Portugal and Austin, Texas, USA, for 2022 and early 2023, focusing on reviews that mentioned remote work.

The Airbnb experiences of remote workers and digital nomads are characterized as professionals who express mostly affective outcomes, but also have behavioral and nonaffective outcomes during their stay. In addition, the findings support the moderating role of length of stay and city.

This paper contributes to the literature by exploring how length of stay affects the priorities of remote workers on Airbnb, highlighting the different needs of long-term and short-term stays, and helping to consolidate and clarify the scattered research on customers’ long-term experiences in tourism and hospitality.

The Airbnb experience of remote workers is the highly valued as evidenced by the high rate of commending reviews indicating a willingness to stay there again. It is suggested that Airbnb hosts continue their helpful role and ensuring the functionality and availability of essential facilities and emphasizing neighborhood amenities specific to long and short stays. ChatGPT4 was found to be valuable for extracting data and assigning topic labels.

This study uses a novel structural topic model, augmented with ChatGPT4, to analyze Airbnb customer reviews that mention remote work, thereby improving inferences about the characterization of remote workers.

This study aims to explore the COVID-19 impact on the sustainability of gharimin (genuine debtors) in Islamic financial institutions (IFI) in Malaysia. The analysis was further conducted to expand the interpretation of gharimin in zakat institutions (ZI) to use the role of zakat distribution during the post-pandemic period due to income shock and long-term unemployment.

This study adopted a qualitative research approach with grounded theory analysis to integrate theoretical insights into the interpretation of gharimin and current practices from the perspectives of ZI and IFI. An in-depth interview with 18 informants was conducted, and data were collected from senior management positions in the zakat distribution department, academicians who are experts in the area of zakat, and heads of Shariah departments in IFI.

Expanding the interpretation of gharimin could help ZI and IFI recover the sustainability of gharimin for preparedness during post-pandemic and any emergency crisis in the future.

This study implies the potential role of ZI in combating the risk of defaulting debtors in IFI to prepare for pandemic recovery in the future.

The new interpretation assists gharimin in reducing the burden debt using the zakat fund and protects genuine debtors by preventing IFI from declaring default or bankruptcy.

This study narrows the literature gaps about gharimin in IFI in the context of the pandemic. To the best of the authors’ knowledge, this is, perhaps, the first paper to present the expansion of interpretation for gharimin into mu’sir in IFI in Malaysia.

For many Indians who played cricket in their backyards or whatever little spaces they had in their locality, the red Stumper ball became their ticket to the local version of the game. This form of cricket involved self-created rules, tailored to the available space or the mood of neighbours who may or may not return the ball if it were to land on their field. This photo essay follows the journey of ‘Mahanadu XI’, a group of young men, mostly from subaltern communities, who play cricket on the banks of the Krishna River in Vijayawada. The photographer, driven by his teenage memories as a cricket enthusiast who religiously followed test matches and one-day games on TV, captures their story through a series of interactions spanning three months from April to June 2023.

This paper aims to identify the interrelationships among critical factors for digital servitization (DS) implementation.

A multi-method research was used. Critical factors for a successful DS implementation were identified using a systematic literature review and expert interviews. The interpretive structural modeling (ISM) method was used to develop a hierarchical model of the identified factors, followed by the fuzzy Matrice d’Impacts Croisés Multiplication Appliqués à un Classement (MICMAC) analysis to assess their dependence and driving powers.

A total of 23 factors for DS implementation were identified, and the ISM model was developed. Based on MICMAC analysis, the factors were also grouped under four categories (dependent, driving, autonomous and linkage). A conceptual framework is proposed, highlighting that DS implementation relies on three main layers of critical factors: crafting alignment, scaling the change and achieving results.

The ISM and fuzzy MICMAC methods used in this study provided valuable insights into the interrelationship among the identified DS factors through a conceptual framework. To the best of the authors’ knowledge, the study is one of the first to identify critical factors influencing DS implementation and develop hierarchical relationships among them.

This study aims to assess Ethiopia’s export performance and emerging exporters of textile and apparel products.

Descriptive research designs were used to investigate textiles and apparel export performance. Quantitative secondary data were collected from the International Trade Center database for 19 years (2004–2022). Data analysis was performed using percentage, Revealed Comparative Advantage (RCA) and Independent t-test using Excel and SPSS version 20.

Findings show that Ethiopia and emerging exporters of textiles and apparel have fluctuating export performance both in absolute value and percentage of growth. The RCA results revealed that Ethiopia, South Africa, Japan, Russia, Australia and Ghana had comparative disadvantages at first, and then Ethiopia’s index showed improvement to weak and medium levels. Meanwhile, countries such as Madagascar and Cambodia have a stronger comparative advantage than Ethiopia and other countries considered in this study. In addition, the findings also show significant differences between Ethiopia and other emerging exporters of textile apparel, except Egypt.

The findings of this study have significant ramifications for scholars, professionals in the textile sector and decision-makers in legislation.

This study established new trends and extended the application of the RCA index across regions.

For decades, consumer identification and motivation, either alone or jointly, have been essential constructs for behavioral researchers. The resultant output is significant in terms of both quality and quantity. However, at a deeper level, a lack of conceptual clarity in the relationship between these constructs has led to theoretical and practical irregularities, which this study aims to address.

An online questionnaire was distributed to sport consumers aged over 18 participating in an online panel, prompted 293 completed responses. Structural equations modeling was used to examine the data.

Findings show that identification mediates the effects of intrinsic and extrinsic motivation on sport supporters’ loyalty and explain 90% of the variance in that construct. In addition, identification mediates the adverse effects of extrinsic motivation on loyalty and strengthens loyalty when levels of satisfaction decline.

This study extends previous work by providing a theoretical perspective that clarifies the relationship between motivation and consumer identification; deepens theory by empirically observing the relationship at different levels of consumer satisfaction; and presents a parsimonious, valid and reliable method that managers can leverage to strengthen sport supporters’ loyalty.

The primary objective of this research is to identify and analyze the influence of digital marketing practises on performance of business of manufacturing enterprises in Delhi-NCR. A quantitative and descriptive research design was implemented in this study. 368 participants from various enterprises were chosen. Questionnaires were used to collect data on the benefits and challenges which are perceived of digital marketing, as well as usage and business performance of these enterprises. SPSS v24.0 is utilized to carry out statistical analysis on the collected data. The study discovered that advantages and problems of digital marketing practices influenced the usage of digital marketing. Furthermore, the execution of digital marketing had a prominent influence on sales and total number of customers of these enterprises, and this relationship was moderated by type and size of businesses. It was discovered that using digital marketing strategies increased business profits by raising digital marketing awareness among consumers and various industries. It made digital marketing easier to implement in various businesses. However, research should be conducted for appropriate generalization in a larger scale.

This study aims to develop multifunctional, namely, superhydrophobic, flame-retardant and antibacterial, coatings over cotton fabric, using casein as green-based flame-retardant and silver nanoparticles as antibacterial agent by solution immersion method.

The cotton fabric is first coated with casein to make it flame-retardant. AgNPs synthesized using Cinnamomum zeylanicum bark extract is coated over the casein layer. Finally, stearic acid is used to coat the cotton to make it superhydrophobic. X-ray diffraction, transmission electron microscopy analysis and ultraviolet-visible spectroscopy are used to investigate the produced AgNPs. The as-prepared multifunctional cotton is characterized by scanning electron microscopy, energy dispersive X-ray analysis and attenuated total reflection-infrared studies. Flame test, limiting oxygen index test and thermogravimetric analyzer studies have also been performed to study the flame-retardant ability and thermal stability of treated fabric, respectively. The antibacterial effect of the coatings is evaluated by disc-diffusion technique. Water contact angle is determined to confirm the superhydrophobic nature of cotton fabric.

The outcomes of this study showed that the prepared multifunctional cotton fabric had maximum contact angle of greater than 150° with good flame retardancy, high thermal stability, greater washing durability and high antibacterial activity against the growth of Pseudomonas aeruginosa and Acinetobacter indicus. Additionally, the as-prepared superhydrophobic cotton showed an excellent oil–water separation efficiency.

The trilayered multifunctional cotton fabric has limiting washing durability up to 20 washing cycles. Treated functional fabric can be used as an antibacterial, therapeutic, water repellent and experimental protective clothing for medical, health care, home curtains and industrial and laboratory purposes.

The study brings out the robustness of this method in the development of multifunctional cotton fabrics.