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The purpose of this study is to understand the factors responsible for social media fan engagement and experience. The research study also attempts to analyze the significance of adopting digital strategies with a fan-centric approach for sports organizations.

The authors conducted 18 semi-structured interviews with managers in different sports organizations and fans of various popular sports leagues and clubs in India. The authors used a qualitative exploratory approach by applying coding and thematic analysis to arrive at findings and conclusions.

The responses led to the emergence of three major themes comprising effective planning, harnessing fan participation and boosting the quality of experience. Building on these themes, the authors recommended the “PRIME” model for sports organizations.

As this study explores the growing importance of fan engagement from the top three sports leagues in India, future researchers can focus on obtaining data from multiple countries and multiple leagues to enhance fan engagement's generalizability. Also with the growing popularity of eSports, the scope of the present study may be expanded based on eSports.

The authors' study acts as an eye-opener for managers revealing that to get active participation from fans, sports organizations will have to be active in social media initiatives. In addition to this, the authors also propose the PRIME model, which elaborates on the aspects of Planning social media programs, Regularization of content creation, increased Interaction with the fan base, Motivation through rewards and Enriching fan experience for effectively harnessing fan engagement and experience.

In the pandemic era, engaging with fans on social media can enable sports organizations to thrive. The authors suggest a “PRIME” model which can aid sports managers in effectively harnessing fan engagement and experience for the managers of sports organizations. The model can also be applied beyond the sports context in anchoring customer engagement and experience through the social media of other business organizations.

This paper aims to investigate the effects of school quality (SQ) on residential property prices in Johannesburg, South Africa. Previous studies have empirically examined the quality of private and public schools without a standard proxy that is accepted in the literature. As a result, this paper extends the literature to the global south by the effect that SQ has on residential property price changes in the local markets of the City of Johannesburg.

The research adopts the hedonic pricing model to evaluate and quantify the impact that the structural attributes such as erf size; number of bedrooms and bathrooms; and SQ measured by pass rates, sport rankings and quality of facilities have on house prices. A total of 2,763 property transactions covering the Kensington and Observatory areas of the City of Johannesburg over the period 2010 and 2020 were obtained from the deeds registry and used for the empirical analysis.

The study finds that SQ has a positive impact on house prices. When the average pass rate of the model school increases by 1%, all other things being equal, house prices also increase by 1.8%. This suggests that people who live closer to the model school are willing to pay more when the school performance improves. The 1.8% premium this study attributes to a 1% increase in school performance is however generally low when compared to some findings in the literature suggesting that there may be some other important factors that households consider when purchasing their home.

The main contribution is uncovering the relationship between the SQ and residential property prices in the local markets, using Kensington and Observatory in Johannesburg as sampled areas. Due to the presence of reliable and quality of data sets, such studies are not many in the global south and a study of this nature in South Africa is notably not existing in the literature.

Recognizing construction workers' activities is critical for on-site performance and safety management. Thus, this study presents the potential of automatically recognizing construction workers' actions from activations of the erector spinae muscles.

A lab study was conducted wherein the participants (n = 10) performed rebar task, which involved placing and tying subtasks, with and without a wearable robot (exoskeleton). Trunk muscle activations for both conditions were trained with nine well-established supervised machine learning algorithms. Hold-out validation was carried out, and the performance of the models was evaluated using accuracy, precision, recall and F1 score.

Results indicate that classification models performed well for both experimental conditions with support vector machine, achieving the highest accuracy of 83.8% for the “exoskeleton” condition and 74.1% for the “without exoskeleton” condition.

The study paves the way for the development of smart wearable robotic technology which can augment itself based on the tasks performed by the construction workers.

This study contributes to the research on construction workers' action recognition using trunk muscle activity. Most of the human actions are largely performed with hands, and the advancements in ergonomic research have provided evidence for relationship between trunk muscles and the movements of hands. This relationship has not been explored for action recognition of construction workers, which is a gap in literature that this study attempts to address.

With the rapid development of short videos in China, the public has become accustomed to using short videos to express their opinions. This paper aims to solve problems such as how to represent the features of different modalities and achieve effective cross-modal feature fusion when analyzing the multi-modal sentiment of Chinese short videos (CSVs).

This paper aims to propose a sentiment analysis model MSCNN-CPL-CAFF using multi-scale convolutional neural network and cross attention fusion mechanism to analyze the CSVs. The audio-visual and textual data of CSVs themed on “COVID-19, catering industry” are collected from CSV platform Douyin first, and then a comparative analysis is conducted with advanced baseline models.

The sample number of the weak negative and neutral sentiment is the largest, and the sample number of the positive and weak positive sentiment is relatively small, accounting for only about 11% of the total samples. The MSCNN-CPL-CAFF model has achieved the Acc-2, Acc-3 and F1 score of 85.01%, 74.16 and 84.84%, respectively, which outperforms the highest value of baseline methods in accuracy and achieves competitive computation speed.

This research offers some implications regarding the impact of COVID-19 on catering industry in China by focusing on multi-modal sentiment of CSVs. The methodology can be utilized to analyze the opinions of the general public on social media platform and to categorize them accordingly.

This paper presents a novel deep-learning multimodal sentiment analysis model, which provides a new perspective for public opinion research on the short video platform.

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 increased importance of sports and athlete brands highlights the need for athletes to pay attention to branding as it has positive impacts. As athletes, Muslim women have not succeeded in building their brands. This study aims to understand the branding challenges facing Muslim female athletes and how to overcome them.

These branding obstacles and guidelines were explored using qualitative methods – specifically semi-structured interviews with Muslim female athletes and focus groups with experts. Data were analysed using open and axial coding to identify the codes.

The study identifies three major obstacles to branding by Muslim female athletes. Self-related obstacles, such as knowledge of brand building, social media, personal pressure and a lack of role models, impact the brand-building decision. Social-related (family and society) and sport-related obstacles (participation as women and as Muslims) further complicate this task. Experts provide additional insights regarding these obstacles, suggesting strategies to overcome them.

The research focuses on athletes from one geographical area and has limitations associated with using qualitative methods.

The study suggests how self-, social- and sport-related obstacles are faced by athletes. It provides suggestions for federations, sports codes and other stakeholders to support athletes to overcome these barriers.

This study expands the understanding of the struggles Muslim women face in building their brands as part of an under-represented group.

The impact of various factors on how TV sports audiences perceive sport event sponsors’ billboards around sports facilities has been the subject of extensive research. Despite numerous factors that impact the effectiveness of sponsor signage at sporting events, there has been a lack of research regarding the language used for such signage around sports facilities’ billboards. Therefore, this study aims to investigate the effects of billboard advertisement language on TV sports audiences’ recognition, recall and search intention to sponsor signage.

This study employed an online experimental design. Participants (n = 925) were recruited from two linguistically different regions: Chinese and English. Participants were randomly assigned to one of two conditions: watching tennis video matches with billboard advertisements presented in either the Roman alphabet exclusively or in a combination of the Roman alphabet and Chinese characters.

This study revealed that although language cannot significantly impact audiences’ unaided recall of a brand, it does have a discernible effect on brand recognition and search intention among audiences. Additionally, people are more likely to search for brands in their native language. Participants from various regions tend to have different recognition rates and search intentions for sport sponsors.

This is the first manuscript examining the use of different languages in relation to audiences’ recognition and recall of sports sponsorship. It provides empirical evidence of the importance of carefully considering the language used in sponsor signage around stadium billboards to optimize the efficacy of sponsorships at sports events.

This paper analyzes how air pollution and the public attention to it influence the returns of stocks in the Indian context.

The study uses firm-level data for the stocks listed on National Stock Exchange in India. Air quality is measured using the Air Quality Index (AQI) values provided by US Embassy and Consulates’ Air Quality Monitor in India. Google Search Volume Index (GSVI) of the relevant terms acts as the measure of public attention. Appropriate regression models are used to address how AQI and attention influence stock returns.

It is observed that degrading air quality alone is unable to explain the stock returns. It is the combined effect of increasing AQI and subsequent rise in associated public attention that negatively impacts these returns. Returns of firms with poor environment score component in their environmental, social, governance (ESG) scores are more negatively affected compared to firms with higher environment scores.

Investors can make use of this knowledge to formulate effective trading strategies and ensure higher chances of profitability in the share market.

To the knowledge of the authors, no earlier study has investigated the effects of AQI and attention together to explain stock price movements. The study is conducted in the Indian context providing a unique opportunity to study the behavioral impact of these effects in one of the fastest growing global economies, which is also plagued by an alarming increase in ambient air pollution.

This study acknowledges the existing digital divide in India, particularly for marginalised populations, and highlights the need for exceptional attention to address their unique needs, challenges and demands. Although previous research and policies have primarily focused on physical access and internet skills, this study shifts the focus to the outcomes of internet use. By understanding how older adults in marginalised communities incorporate the internet into their daily routines, this study aims to contribute to the development of an operational framework that charts the disadvantages of the digital divide.

The study draws from Helsper’s (2015) internet outcomes framework to identify the outcomes that older adults can derive from being online. By using a qualitative approach, the study seeks to understand how educational and economic backgrounds influence internet usage among older adults and how this can promote advantageous internet use.

The findings indicate that highly educated individuals are more likely to experience positive outcomes across various societal domains than their less educated counterparts. However, it was observed that the highly educated participants also try to limit the impact of internet use on their personal lives by intentionally disconnecting from the internet whenever possible.

By offering programmes and interventions to encourage internet use and improve digital skills, as well as by enhancing digital accessibility and incentive systems, the government should go forward with its plan to close the outcomes gap in internet use among older adults. For policymakers, it turns the spotlight on creating an environment conducive to the digital inclusion of older adults, consistent with sociocultural structures.

This study contributes to understanding the nuanced dynamics of internet use among older adults, shedding light on the role of educational background and sociocultural factors in shaping internet outcomes. It highlights the need to consider qualitative approaches in digital inequality research to capture the complexities underlying the digital divide.

Just as the Covid-19 pandemic has hit all areas of life, it has also hit the working life. Towards the end of the pandemic period, the concept of quiet quitting entered people's lives. The phenomenon of quiet quitting has been introduced as a brand new concept in the mainstream media and social media in general. The primary objective of this study is to investigate and define the emerging phenomenon of quiet quitting. Furthermore, this study aims to compare this novel phenomenon with other established theoretical approaches in the field of management.

This review study specifically examines the concept of quiet quitting, aiming to gain a deeper understanding of this phenomenon.

Contrary to popular belief, the phenomenon of “quiet quitting” is not a recent or trendy occurrence. Instead, it has persisted for numerous years and is intertwined with various theories such as motivation, commitment, engagement and social exchange theory.

This study provides employers, managers, HR practitioners with recommendations on how to address the employee's quiet quitting behavior.

This study represents a pioneering work that explores an uncharted territory, the phenomenon of quiet quitting. The authors demonstrated and relate the historical processes of management theories to the phenomenon of quiet quitting, which is a concept that appears to lack roots.