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This study defines and critically analyzes Korean high modernism using the Sewoon Sangga project as a case study, as it has significant value in Korea's urban and architectural history.

The methodology applied for this study was a theory-interpretive analysis. This study examines the modernization process of Seoul based on the concept of “high modernism,” in that the theory-interpretive analysis method analyzes historical phenomena centered on a specific concept.

As a form of national belief, the various ideas that give birth to modern cities are defined as “high modernism.” As a Korean megastructure, the Sewoon Sangga project is significant in the history of Korean urbanism and architecture because it is the archetype of Korean high modernism and is representative of South Korea's compressed economic growth. However, soon-to-be-demolished Sewoon Sangga signifies the failure of Korean high modernism. This study identified the critical characteristics of Korean high modernism through the Sewoon Sangga project.

This study analyzed a representative Asian city through the specific concept of high modernism. It transpired that high modernism, which played an important role in the birth and development of modern cities, should be transformed for future cities and architectural development. This study has significance in that it expands the study of the history of urbanism and architecture centered on the West to the same in Asia.

Most economic growth is concentrated in the eastern and coastal provinces of China, while the western and central provinces have not yet experienced the expected economic growth. This study aims to address the following crucial research questions: Do the central and western provinces achieved potential efficiency in economic growth? Have China’s provinces used their resources effectively in implementing economic growth strategies?

The research design concerns the use of a panel dataset on province-specific economic growth in China over the years to 2000–2020. The methodology used was a stochastic frontier gross domestic product (GDP) model with time-varying technical efficiency over time. The approach uses the existing literature to identify the important variables influencing economic growth at the provincial level to model the stochastic frontier GDP model for empirical analysis.

This study concludes that the central provinces show the highest rate of efficiency in economic growth, though not 100%, followed by the Eastern and Western provinces. By increasing and improving skilled education institutes and intensifying supply chain opportunities through foreign direct investment (FDI), the central provinces achieving 100% growth efficiency may not be ruled out.

The modes of economic governance and policies to improve GDP growth have been rapidly changing from increasing incentives to improving competition. Thus, more unique avenues and expansion of the horizon for impending research on provincial, national and international macroeconomics would emerge that would make current methodologies of the growth analysis outdated.

The empirical analysis highlights the importance of improving skilled education institutes and intensifying supply chain opportunities through FDI for achieving sustained economic growth.

The empirical analysis facilitates finding ways to reduce income inequality across provinces in China.

To the authors' knowledge empirical analysis examining the Chinese province-specific economic growth efficiency explicitly has not been carried out using the recent Chinese panel dataset.

The first objective of this article is to analyse the reasons to pursue inclusive growth, that is economic growth accompanied by a reduction of social inequalities in different dimensions. The second objective of the article is to develop a systematised framework to understand the different channels and enablers by which heritage can contribute to inclusive growth through a review of specialised literature.

The methodology of this article is based on an exhaustive review of existing literature around models of economic development and their ability to decrease social inequalities. It critically reviews theoretical and empirical studies on existing economic approaches and links them with the heritage policy field.

The article finds that countries should pursue inclusive development since it is a fundamental condition for social cohesion, trust and society's overall well-being and because it enables economic growth to be sustainable through time. It also identifies four channels through which heritage can contribute to inclusive development: in its public good dimension, in its capacity to equalise opportunities, in its ability to reduce social, educational and health disparities and in its capacity to decrease spatial income inequalities through regeneration processes.

The framework, that is developed to categorise the different channels and enablers through which heritage could contribute to inclusive growth, is not empirically tested. Further research could approach this by estimating a difference in difference model. However, data limitations could limit this objective in the short-term.

Its originality relies in the development of a conceptual framework that is aimed at shaping heritage policies that target, at the same time, the reduction of inequalities and economic growth.

The study aims to predict the drivers of green purchase in extended theory of planned behaviour (TPB) by investigating direct and indirect role of consumers' attitude toward green purchase along with moderating effects of green trust and willingness to pay on purchase behaviour in an emerging market.

A total of 417 useable responses were recorded from three different states of north India to resolve the issues related to demographic diversity in country by using a structured questionnaire. Structural equation modelling, mediation and moderation analyses were used to investigate the hypothesised relationships.

The research unveiled that environmental concern, subjective norm have significant direct and indirect influence on green purchase intention via attitude. Furthermore, this study also elucidates that green trust significantly moderates attitude–behaviour, and intention–behaviour relationships, whereas willingness to pay does not significantly moderate these relationships in proposed model.

This study provides interesting insights regarding consumers of emerging market toward green purchase. These insights are useful for marketers to design more focused strategies for enhancing the consumers' preferences for green products and promotion of pro-environmental behaviour in emerging markets.

The novel insights of this study are the mediating role of attitude in an emerging market in extended TPB model and exploration of the moderating role of green trust and willingness to pay premium to reduce the attitude–behaviour and intention–behaviour gaps for enhancing the consumers' preferences for green purchase.

India has been withstanding increasing pressure of enrolment in the higher education system, resulting in the creation of new universities in consonance with the recommendations of the Knowledge Commission (2007). Barring a few institutions of paramount excellence, the mushrooming universities fail to conform to equitability of quality and standards, that is teaching-learning-dissemination and research, except for accommodating higher gross enrolment ratio. It has resulted in an asymmetric and sporadic development of human resources, leaving a large basket of learners out of the pursuit for aspiring higher academic, research and professional enrichment. The country needs to develop an innovative common minimum curriculum and evaluation framework, keeping in view the trinity of diversity, equity and inclusion (DEI) across the Indian higher education system to deliver human resources with equitable knowledge, skill and intellectual acumen.

The paper has been developed using secondary information.

The manuscript has developed an innovative teaching-learning framework that would ensure every Indian HEI to follow a common minimum curriculum and partial common national evaluation system so that the learners across the country would enjoy the essence of equivalence.

This research has designed a comprehensive model to integrate the spirit of the “DEI” value proposition in developing curriculum and gearing common evaluation. This would enable the country to reinforce the spirit of social equity and the capacity to utilise resources with equitability and perpetuity.

Given the regional diversity in China, this study aims to provide an empirical evaluation of how organizational stakeholders (i.e. customers, employees, suppliers and shareholders) affect corporate environmental sustainability investment (ESI).

To empirically investigate the influence of organizational stakeholders on ESI, this study used regional-level data consists of Chinese A-share stocks for the years 2009–2019.

This study’s findings show that pressure from customers, employees and suppliers has a significant effect on corporate ESI, with customers being the most important stakeholder group. Shareholders, by contrast, have no significant influence on ESI. The influence of these pressures is more pronounced in developed regions (the east) than in less developed (the west) localities of China.

This study complements the stakeholder–institutional perspective by implying to consider the differentiated logics of the contesting stakeholders in the nonmarket operations.

Practically, this study poses that managers must realize the heterogeneity of pressures from stakeholders and the differentiated impact of these pressures keeping in view the institutional differences in different regions.

Our study reports initial empirical evidence that shows how regional differences influence the role of stakeholders in determining corporate environmental strategy.

Holy cities in India are seeing tremendous gentrification. This study aims to investigate the effect of the changing lifestyle of people towards spirituality and the changing lifestyle's impact on consumer buying behavior on properties in Indian holy cities which has not been studied anecdotally.

The research is exploratory in nature. A questionnaire has been sent to collect primary data through SurveyMonkey. Simple random sampling was used to collect a sample of 450 respondents which was also verified using G* software. The data were analyzed using descriptive statistics and partial least square–structured equation modeling (PLS-SEM).

Findings obtained through the structural model using bootstrapping technique suggest that intrinsic and extrinsic factors are attracting tourists leading to an increase in the demand for real estate in holy cities.

The research findings may vary as per the cultural differences and belief in spirituality, which is subject to perceptual biases in different holy cities.

The traditional determinants of property buying behavior are considered inadequate to attract real estate investments. The inclusion of these behavioral aspects – intrinsic and extrinsic factors may improve the investment inflows in India.

Spirituality connects to the concept of behavioral real estate, where the decision to buy property is largely affected by the emotional attachment of people.

This research adds value to fill the gap by finding out the latent determinant – emotional reasons impacting transnational gentrification in India.

This paper examines the direct and indirect effects of CEO intellectual capital on sustainable growth of small and medium-sized enterprises (SMEs) in China.

It adopts a quantitative approach based on 3,474 unbalanced panel data in 836 Chinese listed SMEs from 2008 to 2017.

The findings reveal a significant positive relationship between CEO intellectual capital and sustainable growth of SMEs. The findings also reveal that dual innovation (exploitative innovation and exploratory innovation) has a partial mediating effect on the relationship.

It further provides an original contribution to identifying and testing the mediating effect of dual innovation on the relationship between CEO intellectual capital and sustainable growth of SMEs.

In contrast to most of the extant literature, which considers intellectual capital as a whole at the organizational level or focuses on employee intellectual capital, this paper highlights the role of CEO intellectual capital for SMEs’ growth. It provides an original contribution to identifying and testing the mediating effect of dual innovation on the relationship between CEO intellectual capital and sustainable growth of SMEs.

With the rapid growth of the domestic lending industry, assessing whether the borrower of each loan is at risk of default is a pressing issue for financial institutions. Although there are some models that can handle such problems well, there are still some shortcomings in some aspects. The purpose of this paper is to improve the accuracy of credit assessment models.

In this paper, three different stages are used to improve the classification performance of LSTM, so that financial institutions can more accurately identify borrowers at risk of default. The first approach is to use the K-Means-SMOTE algorithm to eliminate the imbalance within the class. In the second step, ResNet is used for feature extraction, and then two-layer LSTM is used for learning to strengthen the ability of neural networks to mine and utilize deep information. Finally, the model performance is improved by using the IDWPSO algorithm for optimization when debugging the neural network.

On two unbalanced datasets (category ratios of 700:1 and 3:1 respectively), the multi-stage improved model was compared with ten other models using accuracy, precision, specificity, recall, G-measure, F-measure and the nonparametric Wilcoxon test. It was demonstrated that the multi-stage improved model showed a more significant advantage in evaluating the imbalanced credit dataset.

In this paper, the parameters of the ResNet-LSTM hybrid neural network, which can fully mine and utilize the deep information, are tuned by an innovative intelligent optimization algorithm to strengthen the classification performance of the model.

This study aims to investigate the implications, risks and challenges of data privacy due to the use of immersive technology in the hospitality industry.

The authors adopt a mixed-method approach. Study 1 is a focus group. The authors then provide external and ecological validity with a field experiment conducted with 139 hotel clients at a three-star continental European hotel.

Collecting biometric data results in unbalanced privacy compared to biographic data, as it diminishes individuals’ control over their data and grants organizations absolute power. This unbalanced privacy directly influences consumers’ willingness to disclose information, affecting their choice of hotels and access to services.

Hotels should redesign their strategies to accommodate heightened privacy risks with biometric data. This can be obtained by introducing systems that foster customer confidence in data usage and facilitate customers’ willingness to disclose biometrics through immersive technology or biographic data.

This study introduces unbalanced privacy as a unique state due to sharing biometric data. The authors propose a novel doctrine, the uncontrollable privacy paradox, which is a shift from the privacy paradox. The uncontrollable privacy paradox addresses the unbalanced privacy envisaged through consumer powerlessness in data management. This research addresses the literature gap on the privacy paradox by offering a broader perspective, including business, industry and mixed reality considerations.