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Despite service downgrades' undisputed practical relevance, service downgrades (e.g. customers shifting the price tier downward) have received surprisingly little attention from scholars. Previous studies have focussed on either the public policy issue of tiered pricing or optimal pricing by the service provider. Only a few studies have examined why customers shift across different price tiers and how such activities indicate their future behaviour.

Based on customer data collected from a major telecommunications company, the authors use a logistic regression model to investigate how two service modification levers (i.e. transaction- and relationship-level factors) influence the likelihood of service downgrade. The authors apply a survival model to study how service downgrades affect customer churn.

Transaction-level factors such as service usage (e.g. the frequency and recency of underuse experiences) are positively associated with the likelihood of a downgrade. However, relationship-level factors (e.g. relationship duration and customer status) are negatively associated with the likelihood of downgrades. Customers engaging in downgrades are more likely to churn in the future.

The authors focus on downgrade behaviour, which can be perceived as customers' choice to move down the price tier, which likely ruins the service provider's performance. The authors conceptualise two fundamental driving forces behind a service downgrade: the misfits between the actual usage and the service plan chosen and the deteriorating relationships. The authors' empirical findings on the factors influencing downgrades provide insights for service providers seeking to prevent such behaviour.

This study is based on the stimulus–organism–response (SOR) model to examine how job demands and technology overload affect work stress for workers using video conferencing apps (VCAs) in organizations during the COVID-19 pandemic. Moreover, the moderating effect of technology self-efficacy was tested in the model on the relationship between technology overload and work stress.

An online survey was conducted to investigate workers on PTT forums in Taiwan. A sample was obtained of 253 workers, and structural equation modeling was conducted using AMOS to test the hypotheses.

Job demands positively affect work stress through information overload, communication overload and system feature overload. Moreover, high technology self-efficacy may weaken the relationship between technology overload and work stress.

The study may have sample bias because our sample was obtained from an online survey on social networking sites. Regarding the theoretical implications, this study demonstrated that technology overload, as an internal organism, is a critical mediator influencing the relationship between job demands (stimulus) and work stress (response). Thus, this study extended the applicability of the SOR model in the context of working with VCAs in organizations.

Company managers need to effectively control the information amount, communication interruptions and system features of social media at optimum levels for workers. Moreover, companies should recruit workers with high technology self-efficacy or provide technology training and technology-related consulting to those with low technology self-efficacy.

The extant work stress knowledge is extended to workers using VCAs in organizations.

This research aims to explore the potential negative effects of social media on employees' work performance in a stressful working environment.

This study model was tested using a sample of 398 social media users from China.

Structural equation modeling analysis provide support for most of the hypothesized relationships as results reveal that social stressors and technical stressors are related to exhaustion and anxiety of employees using social media. Furthermore, results reveal that exhaustion and anxiety exhibit a negative influence on employees' work performance.

This study extends the authors’ understanding of how social stressors and technical stressors are related to work performance. The integration of the transactional theory of stress and coping with socio-technical systems offers a holistic view to explain the phenomenon of stress in the social media context.

Cities were regions ruled by local governments, where people were supposed to live together and provide equal access to sociocultural opportunities. In the 21st century, global warming and overuse of scarce limited resources has made sustainability more examined about for our entire environment, particularly cities. With the rapid increase in the population in the cities, humankind has faced a lot of pollution, destruction, and social inequality. Many regions and countries have started to build new smart cities using technology to overcome crowded life, traffic, and air pollution, improve food production, and use scarce natural resources sustainable. Smart cities also provide residents to improve their quality of life and their health; therefore, eco-gastronomy is related to organic farming and cooking method that minimize the damage to the environment with organic ingredients. For a healthy and quality life, meals made with healthy ingredients are required. Smart cities have also started to implement eco-gastronomy projects by using technology. In this chapter, cities which can be associated with the eco-gastronomy dimension of smart cities such as Gaziantep, Izmir, and Konya from Turkey and Copenhagen were analyzed.

The hotel sector in South Africa is also aware of the detrimental impact of its activities on the environment. As a result, it has taken steps to mitigate such effects, evidenced by implementing green hotel practices. ‘Green hotels’ refers to lodging establishments that try to consume less energy, water and materials while still offering high-quality services. Unfortunately, although the hotel sector contributes significantly to employment and economic growth globally, its activities harm the environment through pollution, overuse of natural resources and solid and liquid waste.

This chapter discusses the concepts of green hotels and green practices. This chapter also highlights the need for green practices and identifies a case study on green hotels and practices in a South African context. This chapter found that the green hotel sector implements green practices, such as water-saving practices due to the risk of water insecurity, the growing demand for sustainability and the necessity to boost revenues. Green hotels and practices are a step to actualise the objectives of Sustainable Development Goals (SDGs) 12 and 13, which focus on clean water and sanitation and climate change, respectively. The study underscores the importance of green practices and how South Africa responds to the challenge. It is believed that hotels contribute significantly to environmental degradation, but they can also help to preserve the environment through their activities through green practices. Strategies like adopting green practices would be a remedy to mitigate pollution and its effects on environmental sustainability.

Faced with the challenges of rural population decline, combined with the widespread expansion of homesteads in rural areas, local Chinese governments hope to strictly control and minimize rural housing land. Accurately decomposing the process of rural housing expansion and revealing its driving factors will be helpful for land-use regulation by the government.

In this study, an unusually rich dataset of rural housing registration from Pudong New Area in Shanghai is employed. The study aimed to decompose the fragmented accumulation process and its expansion determinants on rural housing assets. The dataset covers all samples of rural households and housing plots at 72 surveyed villages in six towns.

Housing offers profitable capital and earning assets to villagers at the urban fringe, so they have a powerful incentive to build and expand more. The results of this analysis showed that the expansion of rural housing is largely due to the haphazard construction of auxiliary rooms by villagers, especially on plots of arable land that are adjacent to their houses that have been stealthily converted into auxiliary rooms and sheds. Low costs and weak penalties have led to an increase in rent-seeking expansions to rural houses. Houses with the smaller initial areas, families with more laborers and household heads, and the proximity of villages to downtown with convenient living services were the main driving factors for expanding houses. A concerted effort is needed to control the disorganized and unlicensed expansion of housing. This effort should include formulating areas for free use by villagers, high taxes on overused areas, serious penalties for unlicensed housing expansion and effective land-use planning.

An understanding of the expansion status and control measures related to rural houses in Shanghai provides an important reference that can help to guide the formulation of rural housing policies, and the sustainable development of cities worldwide. Of course, this study cannot generalize about housing distribution and expansion status worldwide based on the study area in China, because China's land tenure policies are unique. But land registry data exists that makes research like this feasible. There is a need to carefully examine the detailed housing distribution in each country before it can be decided on how best to address the disorderly increase in rural housing stock, and promote the reduction of rural residential expansion.

First, the process of rural housing expansion by using an unique dataset which covers ten thousands of samples is revealed. Second, the results have policy implications for reducing the amount of idle and inefficiently rural homestead. The focus is on rural housing growth and its driving factors in Shanghai, and the villagers' motivations for housing expansion are explored.

This study aims to investigate the dual effects of commitment-based governance on the relationship between formal control and public–private partnership (PPP) project performance. Formal control and relationship governance are two primary forms of inter-organizational governance that affect project performance. However, little is known about the interplay between formal control and commitment and its effect on PPP projects. More specifically, previous studies have failed to distinguish the function routes of relationship governance resulting from different types of formal control (process and outcome control).

This study adopts a questionnaire survey to empirically investigate the mechanism that commitment-based governance influences the relationship between formal control and PPP performance. After collecting data from public and private sector professionals involved in 101 Chinese PPP projects, the theoretical framework proposed in this paper is verified by the empirical results of the hierarchical multiple regression analysis.

The results show that process control has an inverted U-shaped effect and outcome control has a significant positive influence on PPP project performance. Furthermore, commitment moderates the effect of formal control on PPP project performance by increasing the relevance of outcome control and mediates the inverted U-shaped relationship between process control and PPP project performance.

Managers should recognize that process control is a double-edged sword and prevent the overuse of process control. Managers should direct their attention toward efforts to improve the commitment, which allows for the effectiveness of outcome control strategies. Additionally, this study new measurement method for relationship governance suggests that managers should be aware of the difference in parties' perceptions of the relationship.

This study allows for a comprehensive understanding of the relationship governance-control nexus from a commitment perspective. The authors bring into light the dual role of commitment-based governance in the relationship between the two types of formal control and PPP project performance. Moreover, the new approach to measure relationship governance offers valuable insight into the measurement of variables about individual's perception.

The purpose of this paper is multifold. First, it is to investigate the relationship between social network sites (SNSs) usage and youth's school absenteeism. Second, it is to identify causal relationship between SNSs usage and absenteeism. Third, it is to explore whether SNSs usage causally affects youth's study–work choice after leaving high school. In addition to SNSs usage in general, abnormal SNSs usage is further discussed.

The Longitudinal Study of Australian Children (LSAC) data are utilised. Lagged variable analysis is used to alleviate reverse causality. Instrumental variable approach and the Lewbel method are used to identify causality. Random effects panel data approach (without and with IVs) is additionally applied to increase efficiency and account for individual-specific effects. Random effects approach allowing for within and between effects is applied, enabling us to control for fixed effects. The primary instrument is a dummy indicating whether a youth more often communicates with close friend electronically or face-to-face.

Using SNSs leads to significantly higher probability of a teenager being late for school, skipping class and having trouble not following school rules. The effect is more consistent regarding abnormal SNSs usage, compared to SNSs usage in general. Additionally, SNSs usage decreases the probability of a youth studying after 18 years old, even after controlling for absenteeism.

The findings in this paper highlight the importance of preventing youth (e.g. via enabling children-safe mode or setting up maximum daily access time) from overusing SNSs.

With the transition to hybrid (mixing remote and face-to-face) learning during and after COVID-19, online interactions are becoming inevitable in students' learning. The findings in this paper indicate that usage, especially abnormal usage, of SNSs increases the probability of absenteeism call for attention from stakeholders including teachers, parents and youth themselves.

This paper provides the first causal and longitudinal evidence linking SNSs usage to absenteeism and youth labor outcomes.

The literature on foreignness has, to date, stressed the liability of foreignness (LOF) and the advantage of foreignness (AOF). Drawing on industrial organisation theory, institutional theory, the resource-based view of the firm and the literature on networking, the authors’ research develops an integrated framework to explore the impact of foreignness on internationalisation depth from the perspective of the duality of foreignness (LOF versus AOF) within multiple dimensions. These dimensions are isomorphism, home country of origin, institutional distance and dual embeddedness of multinational enterprises (MNEs).

In this study, the authors empirically test hypotheses arising from this new theoretical framework by examining the characteristics of a sample of 324 Chinese MNEs (CMNEs) that were operating in 63 countries from 1999 to 2018. Employing regression analysis on a panel of 9,410 observations, the results show that foreignness does exhibit multilevel complexity and duality.

The authors’ empirical results show that isomorphism pressures, country of origin and institutional distance have a negative effect on internationalisation depth (as an outcome of LOF) but that dual embeddedness, on the part of MNEs, exerts a positive impact on internationalisation depth (as an outcome of AOF). The implications for research on multilevel complexity and the duality of foreignness are discussed, and managerial implications are outlined.

The implications of the authors’ findings for MNEs should not be generalised to developed countries without examining the characteristics of both China as an emerging country and its MNEs. The second limit is regarding ownership; this framework has limitations due to choosing China and its OFDIs for testing internationalisation depth. Finally, for subsequent research, examining the dynamics of foreignness completes the nature of multicomplexity, defined by external and internal factors of foreignness changing over time and space.

CMNE managers are advised to actively scrutinise their behaviours in the local country to overcome the differences in routines, values and practices inherent in local institutions (Chen et al., 2019). The results imply that CMNEs should be careful not to overuse their home country image when penetrating a new market. Thus, a strategy to reduce a home government's hegemonic or otherwise negative image may be wise when operating abroad. Finally, the authors’ model suggests that CMNEs equipped with great RCN CIPs for identifying, scanning and interpreting local institutions can enhance internationalisation depth.

The authors’ research contributes to research on foreignness by emphasising foreignness as a construct of multilevel complexity. The authors argue that foreignness arises due to varying factors at the host, home, host-home levels and at the level of the organisational entity. The authors’ definition of foreignness and empirical results supports the notion that isomorphism pressures (host country-level factors), country-of-origin of home country (home country-level factors) and institutional distance (host-home country-level factors) are inextricably negatively linked with internationalisation depth (as effects of LOF). By contrast, the dual embeddedness of MNEs (the factor of organisational level) represents a positive relationship with internationalisation depth (as effects of AOF).