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The purpose of this paper is to examine the causal relationship between Chinese housing and stock markets. The authors discuss the three transmission mechanisms between the two markets: wealth effect, modern portfolio theory and credit-price effect. Moreover, the authors focus on the effects of inflation on the relationship between the two markets.

This paper uses wavelet analysis to test the housing and stock markets relationship both in the frequency domain and time domain.

The empirical results indicate that housing prices have a positive effect on stock prices, and these have the same effect on housing prices. Moreover, this positive effect means that stock prices have a wealth effect on housing prices and these have a credit-price effect on stock prices.

These results provide information to financial institutions and individual investors in China to assist them in constructing investment portfolios within these two asset markets.

The authors first use wavelet analysis to analyze Chinese housing and stock markets and to provide information both on the frequency domain and time domain. Moreover, the authors take the inflation factor as a control variable in the causal relationship between the housing and stock markets.

This study aims to investigate whether and how a high turnover rate stimulates employees to engage more in learning behavior.

Drawing on self-regulation theory, the authors suggest that the motive for employees to engage in learning behavior is to improve themselves. Such a need can be activated when they reflect on themselves and realize the discrepancy between their current selves and desired future selves. The authors argue that the employees’ perceived poor performance at daily work may induce their desire for self-improvement via making the future work selves salient, and in turn engage more in learning behavior. This is particularly so when turnover rate is high because employees may be alert of and concerned more about their own poor performance. In an experience sampling study, the authors obtained evidence for these hypotheses.

When turnover rate was high, employees’ poor performance increased salience of future work selves, which in turn facilitated their learning behavior. This relationship was not significant when turnover rate was low.

Contrary to the typical view that high turnover rate leads to knowledge loss for the companies, the present study findings suggest that it could also serve as a motivational factor facilitating employees’ learning behavior, which is an important way to increase knowledge pool of the companies.

The purpose of this paper is to explore the actions of different senses on visitors’ embodied experience in dark tourism “field,” including embodied emotions/cognitions.

This research uses qualitative analysis by applying tourists’ reviews from two main Chinese tourism websites and the software of MAXQDA. It identifies the senses applied in the embodiment process in dark tourism “field” and matches these senses to the specific types of embodied emotions/cognitions.

This research identifies four main senses. The visual sense has the greatest influence on 27 embodied emotions and 7 embodied cognitions. Auditory and temperature sense create particular emotions. This research also points out the phenomenon of “banned behavior.” At last, to achieve accessibility/acceptability, Nanjing Memorial Hall applies two strategies to distance the extreme historical events from visitors: the construction of aesthetic elements and the way it shows historical objects.

It uses both qualitative and quantitative data to identify the classifications and degrees of senses, emotions and cognitions as well as the relations between them. However, there are difficulties in the coding process because of the language differences, which requires a good understanding of the context of the tourism experience.

The research results could be used as a psychological reference and in the design of dark tourism product.

It provides a specific understanding of the way in which visitors interact with dark tourism objects and environment.

This is the first research that explains the dark tourism experience from the perspective of embodiment. It provides conceptual as well as empirical reference for a new research topic.

In the context of China’s efforts to build world-class enterprises through mixed-ownership reform, this study aims to build an agency theory framework to analyze the differential relation between ownership structure and firm performance in majority versus minority state-owned enterprises (SOEs). It also evaluates the differential influence that political connectedness has on firm performance in the two types of SOEs.

Using a panel data set of Chinese state-controlled mixed-ownership enterprises covering the period 2010–2019, this paper uses ordinary least squares, random-effects, fixed-effects and three stage least squares regression analysis to study the differential impact of ownership structure and political connectedness on firm performance in majority versus minority SOEs.

In minority SOEs, firm performance is positively related to the ownership share of the largest private shareholder and state ownership positively moderates this relation. Furthermore, minority SOEs with a politically connected chairman perform worse than those with a politically connected chairman. In majority SOEs, there is no relation between the ownership share of the largest private shareholder and firm performance. In addition, majority SOEs with a politically connected chairman perform similar to those without a politically connected chairman.

The theoretical framework demonstrates that agency problems are substantially different in minority versus majority SOEs and that this influences how changes in ownership structure and in the type of chairman that is assigned affect firm performance. The empirical analysis confirms these predictions.

The “Internet of Things (IoT)” is a platform for involving smart devices via the Internet at a worldwide scale. It supports the “supply chain (SC)” and “information and communication technology (ICT)” infrastructure to be well integrated into an organization and externally with customers and suppliers. The “sustainable supply chain (SSC)” is currently unavoidable if a company seeks to satisfy the aggressive change in its customers' requirements. Numerous studies have confirmed that manufacturing firms have to accelerate the shift of their focus toward sustainability and the implementation of novel technologies, such as IoT, to accomplish their organizational goals most effectively. Although the literature consists of many theoretical approaches to IoT and numerous studies that have extremely concentrated upon the IoT technology and its potential applications, it lacks research with a focus on the challenges that arise when applying IoT to the “sustainable supply chain management (SSCM)”.

The present study proposes an integrated framework using the “Criteria Importance Through Intercriteria Correlation (CRITIC)” and “VlseKriterijumska optimizcija I kaompromisno resenje in Serbian (VIKOR)” models and employs to evaluate the IoT challenges to implement the SSCM. For estimating the criteria weights, the CRITIC tool is utilized. The organization's prioritization is obtained by the VIKOR procedure, which delivers simple mathematical procedures with precise and consistent outcomes.

To exhibit the practicality of the introduced model, a case study is taken to evaluate the IoT challenges to implement the SSCM within the “q-Rung Orthopair Fuzzy Sets (q-ROFSs)” environment. Moreover, the authors exhibit a sensitivity investigation over given parameter values, examining the stability of developed approach. Finally, the authors draw attention to a comparison between developed q-ROF-CRITIC-VIKOR decision-making approach with an existing q-ROF-TOPSIS method to show its superiority and potency.

The outcome of the study lies in observing the top benefits of individual businesses, and their entire SSCs can be found by implementing IoT. This paper investigates the most important challenges that individual firms and entire SSCs might while applying IoT. It provides a deep insight regarding the effects of IoT upon SSCM and the issues every firm need to contemplate when it is to apply IoT solutions.

Extreme online reviews can have great impacts on consumers’ purchase decisions. The purpose of this paper is to investigate when users are more likely to provide extreme ratings. The study draws inference from attitude certainty theory and proposes that review extremity is influenced by the interaction of evaluation duration and product/service types: for hedonic products/services, shorter evaluation duration can foster attitude certainty, leading to higher review extremity; in contrast, for utilitarian products/services, longer evaluation duration can increase attitude certainty, resulting in more extreme reviews.

Three studies were conducted to test the hypotheses: Study 1 is an empirical analysis of 3,000 reviews from an online retailing website; Studies 2 and 3 are two between-subject experiments.

Results from three studies confirm the hypotheses. Study 1 provides preliminary evidence on how review extremity varies in evaluations of different durations and product/service types. Results from Studies 2 and 3 show that for hedonic products/services, the shorter the evaluation duration, the more likely users are to give extreme ratings; however, for utilitarian products/service, the longer the evaluation duration, the more likely users are to give extreme reviews; and attitude certainty plays a mediating role between evaluation duration and review extremity.

Findings from this study provide understandings on when a fast rather than a slow evaluation can lead to more extreme reviews. The results also highlight the role of users’ attitude certainty in the underlying mechanism.