Search results

Urbanisation, environmental sustainability and property markets are intertwined. Consequently, studies on any of these three topics need to take the other two topics into consideration. By critically reviewing 33 hedonic pricing studies in 16 key journals in the urban studies and environmental policies areas, we summarise quantitative evidence on the price of environmental externalities resulting from China's urbanisation process. We find that Chinese residents are willing to pay more for the access to green space and waterbody as well as the treatment of urban pollution. The cost and benefit of these amenities and disamenities have already been capitalised in house prices. The central and local government in China can leverage market force to encourage, support and facilitate sustainable urban development and environmental protection, instead of directly intervening in the property market by using public resources. Meanwhile, the estimated hedonic price of Urban Green, Urban Blue and Urban Grey helps policymakers to understand the cost and benefit of their urban development decisions. Our review of the papers on Urban Green, Urban Blue and Urban Grey suggests that there have been promising and encouraging development in studies on all three topics in the last decade. The quality and quantity of hedonic price research has been improving notably. However, it is also clear that there is virtually no empirical evidence from the second- or third-tier cities, particularly, regarding Urban Green and Urban Blue investigations. The small number of existing hedonic studies is far from sufficient to draw reliable conclusions about the costs of environmental externality for cities that have not been studied. What works in first-tier cities may not hold elsewhere in China due to the large geographical variation in natural endowment, economic development status and local customs. There are many pieces that are missing from this big picture. More hedonic price studies are needed.

In this research, the purpose of this paper is to assess the relative pricing behavior for land in Beijing, China. The paper sees this as important for three core reasons. First, China has a strong growth economy but is still in many ways an undeveloped country and thus the paper do not have significant data about asset pricing behavior there. Second, China has not traditionally had a market-based land and property transfer system – thus, it is interesting to assess how prices are determined relative to typical market expectations. Third, the authors have extensive evidence on pricing behavior in the USA and Europe but little such evidence on China – are the same variables important in land pricing in China and are there other unique local variables.

This paper analyzes prices of non-industrial and industrial land separately using a comprehensive data set and a semi-parametric framework. The data and flexible model specification allow the hedonic price coefficients to be estimated more accurately.

The key results are that pricing behavior in general follows the traditional expected variables as determined by size, planning use, location and other neighborhood characteristics. However, the authors also find that land prices are associated with buyer characteristics; for example, foreign investors pay less than local investors.

The study fills the gap in the literature in two ways. First, this paper analyzes prices of non-industrial and industrial land separately using a comprehensive data set and a semi-parametric framework. The data and flexible model specification allow the hedonic price coefficients to be estimated more accurately. Second, and more importantly, the authors find evidences that land prices in China are determined by both market force and “Chinese characteristics.” The land market, although established only recently, is at work. In line with the literature, determinants such as size and planning uses are found to be important in determining land prices.

The purpose of this paper is to investigate the volatility clustering in the return of land markets through both theoretical and empirical approaches.

Using extensive monthly panel data at the provincial level from 1986 to 2013, the authors identify the existence of time-correlated and time-varying returns in Canadian land markets.

Consistent with the proposed theory, volatility clustering in land markets tends to be observed in more populated areas.

The result has significant implications for portfolio management, economic theory and government policy by revealing the systematic pattern of volatility clustering in land markets.

With the rise of customer engagement in online products and services innovation, enterprises are seeking effective referral reward program (RRP) to encourage customers’ follow-up electronic-referral (e-referral) behaviors. Therefore, how to stimulate more customers to participate in the RRP is very important to enterprises. However, little empirical work has systemically investigated the impact of RRP on customers’ follow-up e-referral, as well as the moderating effects of customers’ characteristics. To fill those research gaps, the purpose of this paper is to explore the effects of RRP (particularly, reward amount and reward type) on customers’ follow-up e-referral, and the role of creative self-efficacy.

Based on the self-perception theory and the context of online customer innovation, this paper establishes a theoretical model and uses an experiment with 160 participants to test the hypotheses on the role of reward (amount and type) and the moderating effect of creative self-efficacy.

The results of the experiment suggest that both reward amount and reward type in RRP positively impact customers’ follow-up e-referral. Furthermore, customers’ creative self-efficacy moderates the relationship between rewards and customers’ follow-up e-referral. Customers with low creative self-efficacy, reward amount significantly stimulate their follow-up e-referral, but such effect is insignificant when customers’ creative self-efficacy is high. In terms of reward type, gift reward has more positive effect on customers’ follow-up e-referral when they have high (rather than low) creative self-efficacy, but cash reward has more positive effect on those with low (rather than high) creative self-efficacy.

First, based on the self-perception theory, the study clarifies the inconsistent relationship between reward and customers’ e-referral and contributes to related research. Second, the study broadens the existing research perspective by introducing creative self-efficacy, which shows interesting and powerful moderating effect but has been ignored in previous studies. Third, the study provides valuable advice on how enterprises design an effective RRP to enhance customers’ follow-up e-referral.

This study aimed to analyse if significant pedagogical transitions occurred from Pre-Covid-19 to Covid-19 period concerning applied teaching methods, course content, assessment strategies, technical support and faculty's readiness.

This is a quantitative study wherein perceptions of 116 faculty (from higher education institutions) from 22 countries were collected through an online survey. The authors classified the responses by five measurement characteristics and treatment, that is, Pre-Covid and during Covid. ANOVA test identified the differences between the ten groups. The authors also conducted ANOVA test for five Pre-Covid groups and five Covid groups and found meaningful differences among those groups.

The authors compared the differences by the treatment, that is, Pre-Covid and Covid, and found the significant difference in teaching methods, assessment strategies and faculty's readiness while there was no significant difference found in course content and technological support.

The findings and recommendations have a practical application for higher education leaders, curriculum managers and faculty working within this academic environment of online learning either completely remote or hybrid.

The interpretive analysis suggests key improvement areas where education policymakers and higher education strategists need to pay attention to developing strategies and be proactive to cope with any future emergencies whilst maintaining high standards of teaching and learning. This includes devising strategies to prepare faculty competencies to teach in a virtual learning environment, to revamp the assessment strategies and teaching methods.

The rise of digital transaction technology has been transformative for businesses however consumer attitudes to this technology can vary. The comparison of Australians, Chinese and Sri Lankans’ consumers salient attitudes toward payment methods at the Point-of-Sale (POS) provides businesses with insights into the factors impacting consumers' payment preference.

A qualitative methodology was employed for data collection from Australian, Chinese and Sri Lankan participants. A combination of focus groups and individual interviews were carried out with a total of 35 participants.

Results indicate that factors of perceived relative advantage, perceived compatibility, perceived risk, perceived rewards, perceived situations and social influence impact consumers' payment preference at POS across all three countries, however the degree of impact varies in importance across the three countries.

In the cross-cultural comparison of the consumers' payment preference, this research highlights the complex interplay of factors that shapes these payment preferences. The findings, given the growing digitization of transactions, provides banking and financial institutions with a foundational model that can be used to improve their services and business model.

Previous studies failed to distinguish between payment choice at the time of the transaction and payment preference which is repeated behaviour. This study is the first to compare the consumers' payment preference across Australian, Chinese and Sri Lankan consumers and responds to calls for additional research that generalises consumers' payment preferences across cultures.

Covid-19 has caused many businesses to rethink their short- and potentially long-term workforce operations. The use of lateral flow serology can provide a clinically convenient approach for the assessment of prior infection with Covid-19. However, its widespread adoption in organisations seeking to use it to test for workforce immunity is controversial and confusing. This paper aims to explore the paradoxical dilemmas and dialectics immunity workforce testing creates.

This study involved capturing the ethnographical participation of a chief executive officer (CEO) dealing with the experience of managing the outcomes of Covid-19 workforce immunity testing. The aim was to take a snapshot in time of the CEO's empirical world, capturing their lived experiences to explore how management actions resulting from Covid-19 immunity testing can played out.

Providing staff with immunity tests at first glance appears sensible, decent and a caring action to take. Nevertheless, once such knowledge is personalised by employees, they can, through dialectic dialogue, feel disadvantaged and harbour feelings of unfairness. Subsequently, this paper suggests that immunity testing may only serve to raise awareness and deepen the original management dilemma of whether testing is a worthwhile activity.

This paper aims to be amongst the first works to empirically explore the workforce management challenges that arise within small businesses within the service sector following the completion of Covid-19 immunity testing of their staff. It seeks to achieve this via utilising the robust theoretical framework of the paradox theory to examine Covid-19's impact upon small business workforce management thinking and practice.

This paper aims to offer a comprehensive examination of the various solutions currently accessible for addressing the challenge of semantic interoperability in cyber physical systems (CPS). CPS is a new generation of systems composed of physical assets with computation capabilities, connected with software systems in a network, exchanging data collected from the physical asset, models (physics-based, data-driven, . . .) and services (reconfiguration, monitoring, . . .). The physical asset and its software system are connected, and they exchange data to be interpreted in a certain context. The heterogeneous nature of the collected data together with different types of models rise interoperability problems. Modeling the digital space of the CPS and integrating information models that support cyber physical interoperability together are required.

This paper aims to identify the most relevant points in the development of semantic models and machine learning solutions to the interoperability problem, and how these solutions are implemented in CPS. The research analyzes recent papers related to the topic of semantic interoperability in Industry 4.0 (I4.0) systems.

Semantic models are key enabler technologies that provide a common understanding of data, and they can be used to solve interoperability problems in Industry by using a common vocabulary when defining these models.

This paper provides an overview of the different available solutions to the semantic interoperability problem in CPS.