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In writing this article,¹ I have been guided by the questions of by what means the Xambioá deal with commerce and how it makes sense, and what part it plays in their attribution of meaning to the world. I attempt to demonstrate that the use of money, and internal commerce, among the Xambioá are not historical accidents. Money and merchandise are the objects of tireless experiences by the Xambioá. They appropriate meaningfully these allogenic elements and make them circulate in their own way. I suggest that the appropriation of a signifying element like money occurred not only because of its utility but because it is a highly meaningful element. People and things are introduced and are signified according to native logic.

This study aims to delve into entrepreneurs’ perceptions and interpretations of short video marketing on TikTok.

In light of the study’s exploratory nature, a qualitative approach was used. The authors conducted in-depth interviews with 17 entrepreneurs to uncover their insights on short video marketing via TikTok. Data analysis was carried out using thematic analysis and NVivo, and rigorous measures were in place to ensure the quality of the study.

This study’s findings suggested that entrepreneurs’ usage of TikTok is customer-oriented, with the purposes of promoting their businesses, generating word-of-mouth and managing customer relationships. As such, the gratification of connection with their audience, entertainment and information provision needs motivate entrepreneurs’ use of TikTok for social media marketing. Additionally, entrepreneurs’ use of TikTok may also contribute to their gratification of creativity and spontaneity needs, which may otherwise be limited in the context of other social media platforms.

This study expands the previous literature on entrepreneurship, social media marketing and the uses and gratification approach by revealing the specifics, nuances and dynamics of TikTok marketing from the entrepreneurs’ emic perspective.

Twenty-first century education has been reconfigured to keep up with growing societal shifts in an effort to support a wide variety of learners. As changes occur, the workload for teachers continues to expand with little to no support and resources within classroom spaces to keep up with the current times. Post pandemic, the expectations and systems have shifted emphasizing the need for more programming around social emotional learning and systems to help mitigate the learning disruption. The insurmountable pressure placed on teachers has led to a robust and persistent departure of the profession causing the entire education system to rethink the policies, structures, and systems that influence teacher burnout.

MITRE and the National Security Agency cooperatively developed and maintained a D3FEND knowledge graph (KG). It provides concepts as an entity from the cybersecurity countermeasure domain, such as dynamic, emulated and file analysis. Those entities are linked by applying relationships such as analyze, may_contains and encrypt. A fundamental challenge for collaborative designers is to encode knowledge and efficiently interrelate the cyber-domain facts generated daily. However, the designers manually update the graph contents with new or missing facts to enrich the knowledge. This paper aims to propose an automated approach to predict the missing facts using the link prediction task, leveraging embedding as representation learning.

D3FEND is available in the resource description framework (RDF) format. In the preprocessing step, the facts in RDF format converted to subject–predicate–object triplet format contain 5,967 entities and 98 relationship types. Progressive distance-based, bilinear and convolutional embedding models are applied to learn the embeddings of entities and relations. This study presents a link prediction task to infer missing facts using learned embeddings.

Experimental results show that the translational model performs well on high-rank results, whereas the bilinear model is superior in capturing the latent semantics of complex relationship types. However, the convolutional model outperforms 44% of the true facts and achieves a 3% improvement in results compared to other models.

Despite the success of embedding models to enrich D3FEND using link prediction under the supervised learning setup, it has some limitations, such as not capturing diversity and hierarchies of relations. The average node degree of D3FEND KG is 16.85, with 12% of entities having a node degree less than 2, especially there are many entities or relations with few or no observed links. This results in sparsity and data imbalance, which affect the model performance even after increasing the embedding vector size. Moreover, KG embedding models consider existing entities and relations and may not incorporate external or contextual information such as textual descriptions, temporal dynamics or domain knowledge, which can enhance the link prediction performance.

Link prediction in the D3FEND KG can benefit cybersecurity countermeasure strategies in several ways, such as it can help to identify gaps or weaknesses in the existing defensive methods and suggest possible ways to improve or augment them; it can help to compare and contrast different defensive methods and understand their trade-offs and synergies; it can help to discover novel or emerging defensive methods by inferring new relations from existing data or external sources; and it can help to generate recommendations or guidance for selecting or deploying appropriate defensive methods based on the characteristics and objectives of the system or network.

The representation learning approach helps to reduce incompleteness using a link prediction that infers possible missing facts by using the existing entities and relations of D3FEND.

Hospitality firms adopted diverse hiring policies and public declarations of support for LGBTQ+ causes through brand activism. The impact of activism on LGBTQ+ employees’ workplace experiences has been ambiguous. This study aims to examine the hospitality and tourism employees’ perceptions of gay and lesbian leaders as token-hires among hospitality employees and the spillover effect on company’s motives for hiring the leaders. This study further explores LGBTQ+ employees’ reactions to token-hiring as a form of activism, and how workplace interactions as passing/revealing LGBTQ+ individuals shaped their career development.

This research adopted a sequential mixed-methods design. An experiment examines how employees judge gay vs lesbian hospitality leaders as token hires, contingent on their own gender identity. It further tests the conditional mediation of tokenism on company’s egoistic motives for activism. A qualitative study explores the reactions to token-hiring as activism from the perspective of LGBTQ+ leaders who reflect on their own careers and workplace experiences.

Tokenism in the hospitality workplace is recognized as the phenomenon attributed to groups at the intersection of identities (e.g. gay men). Findings demonstrate the spillover effect of tokenism perceptions of gay male leaders by other men on company’s egoistic motives for activism. This effect is not observed for a lesbian female leader. Results from interviews suggest that hospitality and tourism LGBTQ+ employees predominantly take the post-gay vs political approach when managing their sexual identities at work and feel ambivalent toward token-hiring as LGBTQ+ brand activism.

This research contributes to understanding workplace challenges of LGBTQ+ employees and how they are perceived by others contingent on gender identity. It also explores the role of tokenism in their experiences.

The purpose of this paper is to examine the effects of financialisation on the changing structure of housing supply in Malaysia. The share of newly launched sub-MYR250,000 houses has been decreasing continuously in the past decade. This implies that housing developers are launching more expensive houses. The greater focus on higher cost housing could be attributed to inflation. But while input cost is rising, the housing sector has also become increasingly financialised. This claim can be supported by the rising share of mortgage and real estate loans in gross domestic product. Financialisation is a process in which the financial sector becomes more dominant relative to the real sector. The extent to which this process is responsible for the changing structure of housing supply in Malaysia is investigated.

A survey of the literature suggested that the decreasing the proportion of newly launched sub-MYR250,000 housing could be result of rising input cost, greater degree of financialisation and changing market concentration. Thus, long-run cointegrating equations were formulated and estimated. These equations linked housing share with financialisation, market structure and input cost. The quantitative and qualitative impact of financialisation on the structure of housing supply is of interest.

The analyses of secondary data suggested that financialisation and input cost did indeed contribute to the decrease in proportion of newly launched sub-MYR250,000 housing. However, the impact of market concentration on housing share was ambiguous. This conclusion survived several robustness checks.

The financialisation of the housing sector implies that developers are increasingly building for profits instead of accommodating the social objective of providing shelter. This result is unsettling because access to adequate housing is a human right. The transformation of housing from the concept of a shelter to a tradable, money-making asset could be a major contributor to the declining housing affordability in the country. Thus, efforts to improve affordability must take account of the effects of financialisation.

An empirical framework for assessing the changes in the structure of housing supply was developed. Existing studies tended to focus only on the volume of housing supply. It is a comprehensive study on changes in the structure of housing supply. Second, while existing studies on the financialisation of housing are mostly qualitative in methodology, this paper offers a quantitative assessment of the financialisation in the housing sector.

Under the background of continuous sluggishness of the real economy and expansion of asset sectors, the Chinese economy exists a trend of “from the real to the virtual.” Managing the corporate financialization is the key to prevent the real economy “from real to virtual.” The paper explores the influence of family involvement on corporate financialization since family firms are an important proportion of real sectors.

Based on Socioemotional Wealth Theory, this paper makes empirical study using the data of Chinese A-share listed companies from 2008 to 2022 to explore the influence of family involvement on corporate financialization, mainly from the perspectives of family engagement, family identity of CEO and family control power.

These are the findings: (1) Family engagement will inhibit corporate financialization; (2) Compared with employing external managers, family members acting as CEOs will decrease corporate financialization; (3) The proportion of family ownership is negatively correlated with the level of corporate financialization.

The originality of this paper include these: (1) Analyzing the differences in the financialization of real enterprises with different characteristics and attributes; (2) Expanding the research on the internal motivation of the financialization of the real enterprises, and supplementing the research literature on family firms and corporate financialization; (3) Exploring the internal influence mechanism of financialization of family firms under the background of Chinese culture.

This study aims to explore the short-run and long-run relationships and causality between economic growth and financialization in the new member states (NMS-11) and to provide some policy implications drawn from the empirical findings.

The autoregressive distributed lag (ARDL) bounds test approach to cointegration with the vector error correction model and the cumulative sum of squares (CUSUMQ) test for stability of functions is used between 1995q1 and 2021q4 to examine the existence of cointegration, relationships and causality between economic growth and financialization.

The findings of the ARDL bounds test demonstrate that the variables included in the models are bound together in the long run, as confirmed by the associated equilibrium correction. The estimated models indicate that the association between selected variables and economic growth is stronger and more statistically significant in the short run compared with the long run. Also, for NMS-11 understudied countries, short-run causality prevails over long-run causality. The changes in the level of financialization have a significant negative effect on the growth rates in the short run, which aligns with findings from previous empirical studies.

This study extends the existing very limited literature about short-run and long-run relationships and causality among economic growth and financialization, including inflation and unemployment variables, to determine their link in the NMS-11. Specifically, the present study reveals that the current level of financialization hampers economic growth and promoting such economic policies further can have adverse effects on the overall economic growth.

The most important need after natural disasters is the sheltering. However, most of the existing temporary shelters do not meet all requirements for long-term use and not provide adequate flexibility within the space. This paper aims to develop a transitional postdisaster shelter transforming from a closed shape to an expanded form in response to changing functional and spatial needs of disaster victims. The study also proposes alternative unit combinations for various functions, and settlement layouts to create a comfortable living environment for occupants.

The research methodology is based on theoretical and design frameworks which requires inductive and deductive approaches. Forming the background of the study, the theoretical framework consists of four parts which are literature review on temporary shelters presenting state-of-the-art; determination of design guidelines and strategies based on shelter standards; identification of technical requirements; and analysis of existing temporary shelters. Having three parts, the design framework includes design of transformable transitional shelter based on three-dimensional modeling, creation of different unit combinations to be used for various purposes and development of settlement layouts as case studies.

The analysis conducted in this study demonstrates that most of the existing temporary shelters have limited geometric configurations and major problems in terms of their performance, transportation and storage. On the other hand, the transformable shelter proposed by the authors can provide form and spatial flexibilities thanks to its expansion properties, occupy less space for transportation, easily be transported to any desired location in its compact state and be customized according to user needs. Several units can be combined either to serve larger families or to be used for different functions.

This paper contributes to the literature as presenting not only a theoretical framework on temporary shelters but also a design framework on transformable shelter design for the ones who are willing to develop similar transformable shelters based on the determined guidelines, strategies and requirements.