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This paper aims to attend to the issues that remain veiled and excluded in the name of multiculture.

This paper problematizes South Korean multicultural education policies through Bourdieu’s concept of capital as a theoretical frame.

First, the paper discusses that material wealth is unequally distributed to most of the multicultural families, resulting in their lack of economic capital. Second, it notes that students from multicultural families are deprived of cultural capital, as they are racialized in Korean society. As a strategy used to distinguish and exclude a so-called different minority from the unnamed majority, race enables the possession of cultural capital. Third, insufficient social capital identified with resources emerging from social networks positions students from multicultural families as a perpetual minority. As the accumulation of various forms of capital secures power and privilege (Bourdieu, 1986), multicultural education in its current state would continuously reproduce the existing power dynamics where students from multicultural families are subordinate.

Given this, policies for multicultural education in South Korea should cover a wide range of issues, including race, class and network and be redesigned to resolve realistic problems that have been hidden under the name of celebration of culture.

The Korean multicultural education policy has not been analyzed through Bourdieu’s concept of capital. Using a different theoretical viewpoint would be valuable to figure out the problems underlying the policy.

Online learning is essential in today’s world. The COVID-19 has resulted in shutting down all the universities across the globe. Countries like India and Turkey (lower-income countries) are suffering a lot in giving the best classroom practice to their students through online mode. The entire way of teaching-learning has changed drastically, and it is a need of an hour. Research suggests that online learning has been shown to increase retention of information, and take less time, meaning the changes coronavirus have caused might be here to stay. It is therefore important to understand from student’s perspectives about learning online. The paper systematically surveys the perception of learning online for Indian and Turkan students.

To achieve this goal, 594 samples of students (from India and Turkey country) have been taken into considerations, and through statistical measures, the results were analyzed. The set of four research questions comprising of effect of study on COVID-19 pandemic, perception of learning online in COVID-19 pandemic, perception of different genders in learning online and perception of Indians over Turkan students in learning online were analyzed through statistical measures such as mean, standard deviation and so on.

The descriptive statistics of various responses across various dimensions (gender, country) reveals that there is no effect in learning online as compared to classroom-based teaching. On the other hand, there is no significant difference in gender and country in learning online.

Online learning has become crucial in higher education as far as pandemic situation is concerned. Many higher education institutions across different countries are suffering various problems from student point of view. Middle-income countries who are with limited assets and less advancements in higher education need to adhere to certain guidelines in online learning. This empirical study will help to understand the perception of students in online learning across India and Turkey.

This paper aims to study the upgradation of the lubricating performance of the renewable base oil , and to study the tribological behavior of graphene oxide (GO) sheets used as lubricating additives in bio-oil for iron/steel contact.

A multifunctional end-face tribometer was used to characterize the friction coefficient and wear loss of the tribosystem under different lubricants.

The experimental results show that GO sheets with small size benefit lubricating effects and the optimal concentration of GO sheets in bio-oil is 0.4-0.6 per cent, which can form a complete lubricating film on the frictional interfaces and obtain a low friction coefficient and wear loss. Higher concentration of GO sheets can result in a significant aggregation of the sheets, reducing the content of the lubricating components in the bio-oil, which results in the increase in friction and wear; at this stage, the main wear pattern was ascribed to adhesive wear.

These results show a promising prospect of improving the tribological performance of renewable base oil with the introduction of GO sheets as additives.

No literature has covered the tribological behaviour of GO sheets in bio-oil. This study contributes to accelerating the application of bio-oil.

This study aims to investigate a randomized 3 (endorser type: celebrity vs CEO vs expert) × 2 (product type: hedonic vs utility) between-respondents factorial experiment to inspect the effects of the endorsers and product types on consumers’ engagement in BRM through brand-relationship variables [i.e. self-brand connection (SBC), perceived product attachment (PPA) and source credibility (SC)]. Marketing in a digital era is witnessing a rising trend of “brand resurrection as revolution” led by consumer power. The successful revitalization of various dead brands provides some new opportunities for companies to engage millennial consumers in brand resurrection movements (BRM) through the right choice of brand endorsers. The new-found love of companies for the revitalization of long-forgotten brands has attracted considerable interest among scholars and marketing practitioners. Despite the brand resurrection’s high practical relevance, little is known in marketing research about how to revive failing brands back to life.

Using source credibility theory (SCT) as a lens, this study conducted two studies (i.e. Study 1, N = 300; Study 2, N = 300) and builds on an analysis of data from Pakistani millennials. The hypotheses were inspected using both structural equation modeling and SPSS’s PROCESS macro.

Through two studies, the authors find that the match between endorser types and product types affects customer motivation to engage in BRM via SBC, PPA and SC (i.e. attractiveness, trustworthiness and expertise).[AQ2] The results showed that for utilitarian products, both SBC and PPA mediate the link between endorser types and BRM, but for hedonic products, PPA does not play a role. Similarly, the authors’ results indicate that for hedonic products, attractiveness, trustworthiness and expertise mediate the link between endorser types and BRM, but for utilitarian products, trustworthiness does not play a role.

The results of this research will help marketing managers devise effective brand endorsers strategies in reviving failing brands. Specifically, this endeavor highlights that understanding brand advertisements merely in terms of celebrity endorsement restricts the full potential that brand advertisements could have and also that a comprehensive understanding must include expert and chief executive officers (CEO) endorsers. Therefore, one of the central contributions of this research is the introduction of expert and CEO endorsers and the evidence that both celebrity (i.e. celebrity and CEO) and non-celebrity endorsers (i.e. experts) have an impact on consumers’ motivation to engage in BRM.

To the best of the authors’ knowledge, this is one of the first endeavors of its kind to empirically explore consumer attitude/motivation behind participation in reviving failing brands. The significance of this work is underscored by the fact that numerous dead brands are being brought back by companies because of consumer–brand co-creation movements.

While conceived to examine key factors affecting post-retirement career advancement of retired elite athletes in South Korea, the purpose of this paper is to report how English, as a de facto global lingua franca, functions as a powerful gatekeeper in the sports administration field.

Interpreted through the lens of Bourdieu’s linguistic capital and Gramsci’s hegemony of language, the present study draws on content analysis of semi-structured individual interviews, as well as focus group interviews, conducted with thirty former South Korean elite athletes.

Based on the data analysis, systematic bias toward athletes was uncovered, privileging English as the single determining factor for employment. Furthermore, the educational implications for adult learners of English as a Foreign or English an Additional Language reveal unrealistic expectations of top–down language policies.

Perspectives of athlete participants, an underrepresented group in educational research, within the South Korean globalization context shed critical light on the pervasive aspects of English hegemony and its unexamined dimensions.

This paper focuses on Ṣukūk issuance determinants in Gulf Cooperation Council (GCC) countries. Given the dual characteristic of debt and equity of Ṣukūk as well as their unique benefits of social responsibility, the author questions whether the theories of capital structure, the trade-off and the pecking order are able to well explain the Ṣukūk issuance.

First, the author verifies these theories using capital structure determinants and regresses the Ṣukūk change on these determinants. Second, the author tests the trade-off theory with the target debt model and third, verifies the pecking order theory using the fund flow deficit model.

The empirical results show that capital structure determinants fail to explain both theories. The author confirms that the Ṣukūk change is significatively linked to the deviation from a Ṣukūk target. So, issuing firms balance the marginal costs of Ṣukūk and their benefits of religiosity and social responsibility toward a target debt. The author finds no evidence of the pecking order theory.

This study contributes to corporate finance theory and corporate social responsibility. It verifies if capital structure theories proved in conventional financing can well explain Islamic bonds issuance given their social responsibility benefits.

Managers and investors would pay attention to the social factors explaining Ṣukūk issuance in their finance and investment decisions. They would be enhanced to use this financing tool knowing its social unique benefits. This also should encourage governments to enhance this socially responsible financing. Rating agencies would be motivated to evaluate Ṣukūk and firms would improve the quality and relevance of disclosure to get the best rating.

The author highlights the social factors explaining Ṣukūk issuance and enhances corporate social responsibility (CSR).

The author extends the few literature testing capital structure theories for Islamic bonds and highlights the specific social responsible features of Ṣukūk that would bridge their issuance to capital structure theories. So the author enhances the concept of Islamic CSR. Tying capital structure theories to CSR would also help developing Islamic finance theory as a unique social responsible framework.

The study aims to analyze the interaction between macroeconomic uncertainty and stock market return and volatility for China and USA and tries to draw some invaluable inferences for the investors, portfolio managers and policy analysts.

Empirically the study uses GARCH family models to capture the time-varying volatility of stock market and macroeconomic risk factors by using monthly data ranging from 1995:M7 to 2018:M6. Then, these volatility series are further used in the multivariate VAR model to analyze the feedback interaction between stock market and macroeconomic risk factors for China and USA. The study also incorporates the impact of Asian financial crisis of 1997–1998 and the global financial crisis of 2007–2008 by using dummy variables in the GARCH model analysis.

The empirical results of GARCH models indicate volatility persistence in the stock markets and the macroeconomic variables of both countries. The study finds relatively weak and inconsistent unidirectional causality for China mainly running from the stock market to the macroeconomic variables; however, the volatility spillover transmission reciprocates when the impact of Asian financial crisis and Global financial crisis is incorporated. For USA, the contemporaneous relationship between stock market and macroeconomic risk factors is quite strong and bidirectional both at first and second moment level.

This study investigates the interaction between stock market and macroeconomic uncertainty for China and USA. The researchers believe that none of the prior studies has made such rigorous comparison of two of the big and diverse economies (China and USA) which are quite contrasting in terms of political, economic and social background. Therefore, this study also tries to test the presumed conception that macroeconomic uncertainty in China may have different impact on the stock market return and volatility than in USA.

The purpose of this paper is to help industrial managers monitor and analyze critical performance indicators in real time during the execution of business processes by proposing a visualization technique using an extended formal concept analysis (FCA). The proposed approach monitors the current progress of ongoing processes and periodically predicts their probable routes and performances.

FCA is utilized to analyze relations among patterns of events in historical process logs, and this method of data analysis visualizes the relations in a concept lattice. To apply FCA to real‐time business process monitoring, the authors extended the conventional concept lattice into a reachability lattice, which enables managers to recognize reachable patterns of events in specific instances of business processes.

By using a reachability lattice, expected values of a target key performance indicator are predicted and traced along with probable outcomes. Analysis is conducted periodically as the monitoring time elapses over the course of business processes.

The proposed approach focuses on the visualization of probable event occurrences on the basis of historical data. Such visualization can be utilized by industrial managers to evaluate the status of any given instance during business processes and to easily predict possible subsequent states for purposes of effective and efficient decision making. The proposed method was developed in a prototype system for proof of concept and has been illustrated using a simplified real‐world example of a business process in a telecommunications company.

The main contribution of this paper lies in the development of a real‐time monitoring approach of ongoing processes. The authors have provided a new data structure, namely a reachability lattice, which visualizes real‐time progress of ongoing business processes. As a result, current and probable next states can be predicted graphically using periodically conducted analysis during the processes.

This paper discusses how corruption, in its various manifestations, has had — and continues to have — a very serious impact on the economic and political stability of the Asia‐Pacific region.

In this research, the authors aim to investigate the impact of product display quantity on consumers' online purchase intention through the diminished pain of payment, in light of signaling theory and mental accounting theory. Additionally, the authors test the role of price in this psychological mechanism.

The authors use a combination of online studies and field experiments to test our predictions. Four online studies are conducted to test the main effect of product display quantity on purchase intention (Studies 1A and 1B), the mediating effect of the diminished pain of payment (Study 2), and the moderating role of price (Study 3). Two field experiments are conducted to strengthen the robustness of our findings.

The findings suggest that product display quantity has a significantly positive impact on purchase intention, mediated by the diminished pain of payment, and this effect is moderated by price.

This is the first study to investigate the effect of product display quantity on online purchase intention. This research advances the discussion of product display quantity, which provides retailers and consumers with a convenient way to communicate with each other and leads to a more relaxed purchase experience.

Color psychology theory reveals that complex images with very varied palettes and many different colors are likely to be considered unattractive by individuals. Notwithstanding, web content containing social signals may be more attractive via the initiation of a social connection. This research investigates a predictive model blending variables from these theoretical perspectives to determine crowdfunding success.

The research is based on data from 176,614 Kickstarter projects. A number of machine learning and artificial intelligence techniques were employed to analyze the listing images for color complexity and the presence of people, while specific language features, including socialness, were measured in the listing text. Logistic regression was applied, controlling for several additional variables and predictive model was developed.

The findings supported the color complexity and socialness effects on crowdfunding success. The model achieves notable predictive value explaining 56.4% of variance. Listing images containing fewer colors and that have more similar colors are more likely to be crowdfunded successfully. Listings that convey greater socialness have a greater likelihood of being funded.

This investigation contributes a unique understanding of the effect of features of both socialness and color complexity on the success of crowdfunding ventures. A second contribution comes from the process and methods employed in the study, which provides a clear blueprint for the processing of large-scale analysis of soft information (images and text) in order to use them as variables in the scientific testing of theory.

This study aims to determine how to influence the customer journey of mobile food ordering applications (MFOAs) users. It researches how available information could influence customers’ intention to use MFOAs platforms in the prepurchase stage and explores the potential of personalized information to improve customer satisfaction with these services in the postpurchase stage.

This research followed a mixed design, combining qualitative (focus groups) and quantitative (online survey) research and using both content analysis and partial least squares structural equation modeling.

Two types of available information (firm-generated information and online customer reviews) had a positive influence on the behavioral intention to use MFOAs. Additionally, findings showed that different web personalization strategies, namely, content personalization, functional personalization and system-driven personalization, were useful tools to create customer satisfaction with this type of platform.

The study discusses limitations regarding the sample and sampling process, indicator variables and measures.

The present research provides actionable insights for online food delivery providers.

This study addresses a research gap in the literature and provides a novel and richer understanding of customer behavior toward mobile food delivery platforms. Also, it adds to the personalization research by identifying and testing a range of web personalization strategies.

The purpose of this paper is to contribute to the understanding of how talent management (TM) unfolds in practice in a public organization.

An exploratory single case study was conducted of a Swedish public hospital, based on interviews, observations and documents.

The findings illustrate that despite a highly egalitarian and collectivist context, the hospital adopted an exclusive approach to TM, and a talent was not considered or identified through formal performance appraisals, but through informal criteria. The rationale behind this approach is influenced by the surrounding context, including the implementation of an innovative and strategically important practice, and the highly professionalized context.

The study offered a rich view of how TM unfolds in practice, which may not always be possible using large sample, survey studies; however, it limited the generalizability.

The study points to important issues when designing TM.

The paper addresses two main shortcomings in the TM literature: the under-researched context of public organizations and the lack of contextual awareness. The empirically driven analysis constitutes an important step for further theory development regarding exclusive/inclusive approaches in TM.

This paper aims to clarify how organizations manage their participation in networks to share and jointly create knowledge but also risk unwanted knowledge spillovers at the same time. As formal governance, trust and observation are less applicable in informal networks, the authors need to understand how members address the need to protect knowledge by informal practices. The study aims to investigate how the application of knowledge protection practices affects knowledge sharing in networks. The insights are relevant for organizational and network management to control knowledge risks but harvest the benefits of network engagement.

The authors opted for an exploratory study based on 60 semi-structured interviews with members of 10 networks. In two rounds, network managers, representatives and members of the networks were interviewed. The second round of interviews was used to validate the intermediate findings. The data were complemented by documentary analysis, including network descriptions.

Through analyzing and building on the theory of psychological contracts, two informal practices of knowledge protection were found in networks of organizations: exclude crucial topics and share on selected topics and exclude details and share a selected level of detail. The authors explored how these two practices are enacted in networks of organizations with psychological contracts.

Counter to intuition that the protection of knowledge can be strengthened only at the expense of knowledge sharing and vice versa, networks benefitted from more focused and increased knowledge sharing while reducing the risk of losing competitive knowledge by performing these knowledge protection practices.

The purpose of this study is to explore the antecedents of consumers’ online review intention in e-commerce platforms from a unique perspective of consumer commitment and platform design. Meanwhile, for the dual-platform strategy, i.e. providing both the web and mobile platforms simultaneously, which is widely adopted in the industry but lacks theoretical concerns, this study aims to examine the differences that platform design influences consumer commitment, consequently contributing to online review intention, between the web and mobile contexts.

A cross-sectional online survey is employed, and a structural equation model-based approach is utilized to analyze the data collected from both the website-preferred consumers (N = 167) and the mobile app-preferred consumers (N = 247).

The results indicate that instrumental support design factors and socio-emotional support factors positively influence consumer commitment, which further affect online review intention positively. Furthermore, design factors in different use contexts generate different impacts, and consumer commitment generates a greater effect on online review intention in the mobile than in the web context. Empathy is found to be an important motivator of consumer commitment in both contexts.

To the best of the authors’ knowledge, as one of the first attempts to capture the differences in the relationship between platform design on consumer commitment and online review intention in different use contexts within the dual-platform e-commerce, this study provides insights for e-commerce platform managers and designers to promote consumer commitment and online review engagement by prioritizing the platform design.

This paper aims to provide a historical case study of strategic changes in accounting at an Australian university’s business school department during 1972-1992 when it was repositioning itself in the early stages of major changes in the Australian and international tertiary accounting education environment. The study is conducted within the context of the university history within which the department operated as well as major government policy and global education shifts shaping university structures and focus.

This study offers a historical analysis of early stage changes in university focus at the business school’s accounting department, developed through departmental and university reports and oral history interviews. A narrative analytical methodology is adopted to portray a history of an academic accounting department in transition.

This case study illuminates the impacts of and responses to the beginning of marketisation and globalisation of higher education, and the commercialisation of universities and explains the strategic implementation processes in one university’s business school departmental during a period of significant formative change in the Australian accounting education landscape.

This study deepens our understanding of environmental, structural, educational and research changes at the operational departmental level of academic institutions, paying particular attention to the organisational culture and human capital dimensions.

This paper presents a review of the existing state-of-the-art literature on machine learning (ML) in logistics and supply chain management (LSCM) by analyzing the current literature, contemporary concepts, data and gaps and suggesting potential topics for future research.

A systematic/structured literature review in the subject discipline and a bibliometric analysis were organized. Information regarding industry involvement, geographic location, research design and methods, data analysis techniques, university, affiliation, publishers, authors, year of publications is documented. A wide collection of eight databases from 1994 to 2019 were explored using the keywords “Machine Learning” and “Logistics“, “Transportation” and “Supply Chain” in the title and/or abstract. A total of 110 articles were found, and information on a chain of variables was gathered.

Over the last few decades, the application of emerging technologies has attracted significant interest all around the world. Analysis of the collected data shows that only nine literature reviews have been published in this area. Further, key findings show that 53.8 per cent of publications were closely clustered on transportation and manufacturing industries and 54.7 per cent were centred on mathematical models and simulations. Neural network is applied in 22 papers as their exclusive algorithms. Finally, the main focuses of the current literature are on prediction and optimization, where detection is contributed by only seven articles.

This review is limited to examining only academic sources available from Scopus, Elsevier, Web of Science, Emerald, JSTOR, SAGE, Springer, Taylor and Francis and Wiley which contain the words “Machine Learning” and “Logistics“, “Transportation” and “Supply Chain” in the title and/or abstract.

This paper provides a systematic insight into research trends in ML in both logistics and the supply chain.

This study aims to examine the effect of digital fashion marketing on consumer purchase intentions. Rooted in the stimulus–organism–response framework, it explores how digital marketing strategies in the fashion industry influence consumer attitudes and satisfaction, ultimately affecting their purchasing decisions.

It is mainly focused on the attitudes, satisfaction, and purchase intentions of young consumers in China and South Korea toward fashion brands stimulated by digital fashion shows and non-fungible tokens. This study modifies the research model through case studies, collects data through questionnaires, and analyzes the data using fsQCA and AMOS.

The findings of the fsQCA study show that stimuli impact consumers’ attitudes, satisfaction, involvement, and willingness to rewatch. The multigroup analysis shows that social norms and images have a greater influence on individuals in China, whereas Korea has a higher direct effect of individual involvement on consumption behavior.

The study is useful for global fashion brands because it emphasizes the role of digital innovations in shaping consumer–brand relationships and makes strategic recommendations for sustainable growth in the digital fashion landscape.

The purpose of this paper is to propose a real‐time food receiving operations management system (RFRS), focusing on demonstrating the use of a case‐based reasoning (CBR) and radio frequency identification (RFID) technology in managing the complex food receiving activities in distribution centers, to deal with the global concerns in food safety management.

The proposed system includes a CBR engine for generating customized operating procedures by retrieving and analyzing relevant knowledge stored in the database and case library. In addition, RFID technology is adopted to gather real‐time inventory information for visualizing inventories, work stations, and equipment status.

The significance and contribution of RFRS in the context of managing unstructured operations in distribution centers for the food receiving process are demonstrated by adopting the system in one of the Hong Kong‐based logistics companies. The achieved improvement of order fulfillment helps achieve a systematic management in operations process flow. Moreover, the time saving in resource assignment helps improve the operations efficiency of the receiving zone. Hence, the decrease in the faults of quality checking helps improve the service and quality level. All of the above demonstrate the feasibility of the RFID‐based decision support system.

A superior method for the management of quality control and service of the receiving process is essential for the success of food distribution centers. However, the complexity of these management processes increases with the rise of customization of service in the supply chain. Hence, such increase in the operation complexity leads to the increase in operation time and, consequently, a decrease in the service quality. The real‐time food receiving operations management system proposed in this paper integrated RFID and case‐based reasoning technology in dealing with food warehouse receiving operation assignment. This is a brand new application combining the two technologies in the field of food reception in warehouses. With the support of the system, the efficiency and the customer satisfaction are improved.

Wealth Management Products (WMPs) are the largest and most crucial component of China's Shadow banking, which are off the balance sheet and considered as a substitute for deposits. Commercial banks in China are involved in the issuance of WMPs mainly to; evade the regulatory restrictions, move non-performing loans away from the balance sheet, chase the profits and take advantage of yield spread (the difference between WMPs yield and deposit rate).

In this study, the authors investigate what bank related characteristics and needs; influenced and prompted the issuance of WMPs. By using a quarterly panel data from 2010 to 2019, this study performed the fixed effects approach favored by the Hausman specification test, and a feasible generalized least square (FGLS) estimation method is employed to deal with any issues of heteroscedasticity and auto-correlation.

This study found that there is a positive and significant association between the non-performing loan ratio and the issuance of WMPs. Moreover, profitability and spread were found to play an essential role in the issuance of WMPs. The findings of this study suggest that WMPs are issued for multi-purpose, and off the balance sheet status of these products makes them very lucrative for regulated Chinese commercial banks.

Non-guaranteed WMPs are considered as an item of shadow banking in China, as banks do not consolidate this type of WMPs into their balance sheet; due to that reason, there is no individual bank data available for the amount of WMPs. The authors use the number of WMPs issued by banks as a proxy for the bank's exposure to the WMPs business.

From a regulatory perspective, this study helps regulators to understand the risk associated with the issuance of WMPs; by providing empirical evidence that Chinese banks issue WMPs to hide the actual risk of non-performing loans, and this practice could mislead the regulators to evaluate the bank credit risk and loan quality. This study also identifies that Chinese banks issue WMPs for multi-purpose; this can help potential investors to understand the dynamics of WMPs issuance.

This research is innovative in its orientation because it is designed to investigate the less explored wealth management products (WMPs) issued by Chinese banks. This study's content includes not only innovation but also contributes to the existing literature on the shadow banking sector in terms of regulatory arbitrage. Moreover, the inclusion of FGLS estimation models, ten years of quarterly data, and the top 30 Chinese banks (covers 70% of the total Chinese commercial banking system's assets) make this research more comprehensive and significant.