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Consumers may boycott firms’ corporate social responsibility (CSR) activities, but little is known about when, why and how they would respond in this way. Based on psychological contract violation and discount principles, the purpose of this paper is to argue that timing and fit of CSR activities are the main dimensions of consumers’ psychological contract. It is posited that CSR activities would be boycotted if consumers perceived violation of their psychological contract, and their altruistic tendency would have a moderating effect on this mechanism.

This paper takes the form of an empirical study using a sample of 434 respondents through scene-questionnaire survey in central China.

It is found that (1) low fit or reactive CSR activities would induce consumers’ psychological contract violation, and the latter has a more significant influence; (2) perceived CSR is negatively related with consumers’ boycott behaviors, but CSR activities would be boycotted if consumers’ psychological contracts are violated; (3) the negative relationship between perceived CSR and consumers’ boycott behaviors would be strengthened by consumers’ altruistic tendency, and the positive relationship between consumers’ psychological contract violation and their boycott behaviors would also be strengthened by their altruistic tendency.

This paper has significant theoretical implications, as it answers the question that when, why and how CSR activities would be boycotted. Besides, it contributes to literature on psychological contract for applying it to CSR research field. Furthermore, the double-edged effect of consumers’ altruistic tendency extends literature on pro-social behaviors.

This paper is of interests to corporate management and academics who wish to understand when and why consumers would boycott CSR activities and the factors that would relax consumers’ negative responses.

This is the first paper that investigates when, why and how CSR activities would be boycotted from the perspective of consumers’ psychological contract violation.

The purpose of this paper is to comprehensively investigate the combined influence of a firm's political connection and diversification on corporate performance, and to explore whether firm's political connection has an impact on the diversification effect, and whether this diversification effect would promote its performance significantly or not.

The research used a regression model to explore the correlation among political connection, diversification strategy, and corporate performance. The research subjects are the private enterprises listed on Shanghai and Shenzhen Stock Exchange in China for the period 2002‐2005.

The study found that: first, for those firms without political connections, the relationship between diversification strategy and corporate performance displayed an “inverted U” curve; for firms with political connection, the relationship was a “reverse L”. Second, firms with political connections are more likely to implement a diversification strategy, especially unrelated diversification. Third, when implementing an internationalization strategy, private enterprises with political connections are more likely to expand through unrelated diversification strategy. Fourth, the diversification of the enterprises with political connection are more likely to promote the short‐term accounting performance than those without political connection, but the unrelated diversification of politically connected enterprises would have a negative impact upon its future performance, that is to damage the company's market value.

The paper expands the literature on the relationship between diversification and firm performance. It contributes to the research about the influence of political connection upon corporate performance.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting‐edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

As China takes on the role of workshop of the world, how do its businesses and their customers recognize and react to the need for corporate social responsibility?

The paper provides strategic insights and practical thinking that have influenced some of the world's leading organizations.

The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy‐to digest format.

The purpose of this paper is to explore the prediction of competitive response based on the characteristics of market and non‐market actions comprehensively, and develop a four‐stage decision‐making model of firm's competitive action, which is significant for Chinese practicing managers when formulating and implementing the strategies, and further predicting competitors' strategic choices.

The research adopted the method of structured content analysis and carried out the survey in Chinese home appliance industry, mainly covering the largest firms, including TCL, Hisense, Changhong, Konka, Haier, and Skyworth. The method of multiple regression analysis was employed to test the hypotheses.

The results show that in order to comprehensively forecast competitor's responding behaviors, the firms could not only limit their perspective to market field but also pay attention to non‐market. Additionally, in the process of dynamic interaction, the attacking or responding action is not independent and it is related significantly to another three type decisions, which are market and non‐market, strategic and tactic, and collective and individual. Further, the study asserts that, in market field, tactic activity is more likely to trigger competitor's response than strategic one, while in non‐market, the situation is just the opposite. Meanwhile, the study figured out that individual market attack is easier to trigger individual market and non‐market response, as well as collective market response. While for non‐market action, whatever it is individual or collective, both would be easy to provoke competitor's collective response.

The research findings extend the existing competitive interaction theory to non‐market field. When forecasting competitor's choice of the competitive action, the firms could not only limit their perspective to market field but also pay attention to non‐market, attaching importance to certain situation of competitor's taking such non‐market action as corporate philanthropy, etc. to launch an attack or a response for gaining competitive advantage.

The main purpose of this paper is to explore the influence mechanism of corporate social responsibility (CSR) for smart cities on consumers' purchase intention. The authors aim to identify the key components of CSR for smart cities based on the perspective of consumers, namely responsibility toward consumers, environment and community and validate their relationship.

The authors exploit data collected by questionnaire surveys to estimate the effects of CSR for smart cities on consumers' purchase intentions and to investigate the statistical causality between them. The multilinear regression model is used to figure out the different impact levels of the three dimensions of CSR for smart cities on consumers' purchase intention.

The results illustrate that CSR for smart cities and its three dimensions all have significant positive impacts on consumers' purchase intentions. Besides, consumer–corporate identity (CCI) exerts a partial mediation effect on this influence mechanism.

This research is based on a rather small sample size. Besides, due to the time limitation and other factors, some other control variables are neglected in the regression model. Therefore, the impact level could be distorted.

The authors put forward management implications according to research conclusions. Corporates should actively fulfill the CSR in the field of consumer responsibility to boost consumers' purchase intention. Corporate should strengthen the interaction with consumers to improve their corporate identity.

The main contribution of this paper is to provide convincing evidence of the impacts of CSR for smart cities on consumer purchase intention (CPI), thus proposing effective measures for corporates to win more consumers by taking on social responsibility for smart cities. This paper takes CCI as mediating variable to deepen the understanding of the impacts of CSR for smart cities on CPI, which is innovative and beneficial to enriching literature in related fields.

In recent years, deep learning and extended reality (XR) technologies have gained popularity in the built environment, especially in construction engineering and management. A significant amount of research efforts has been thus dedicated to the automation of construction-related activities and visualization of the construction process. The purpose of this study is to investigate potential research opportunities in the integration of deep learning and XR technologies in construction engineering and management.

This study presents a literature review of 164 research articles published in Scopus from 2006 to 2021, based on strict data acquisition criteria. A mixed review method, consisting of a scientometric analysis and systematic review, is conducted in this study to identify research gaps and propose future research directions.

The proposed research directions can be categorized into four areas, including realism of training simulations; integration of visual and audio-based classification; automated hazard detection in head-mounted displays (HMDs); and context awareness in HMDs.

This study contributes to the body of knowledge by identifying the necessity of integrating deep learning and XR technologies in facilitating the construction engineering and management process.