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The purpose of the present research is to investigate how consumers’ purchase posting behavior on social media influences their own happiness.

The paper presents three studies. Study 1 was an experiment that manipulated purchase and posting behavior. Studies 2 and 3 utilized surveys which asked participants to report their actual purchases and posting behaviors. Data were examined using regression and bootstrap mediation analysis.

Posting purchases on social media has a positive influence on consumers’ happiness through the mediating roles of perceived impact of purchases on self and interpersonal relationships.

This paper contributes to the research on social media by demonstrating that because of its remarkable characteristics, posting purchases on social media significantly increases consumers’ happiness. It fills the research gap of how word-of-mouth and conspicuous consumption influences the storyteller’s happiness. It is also the first research which suggests that user-generated content of purchases actually can be a new carrier of conspicuous consumption. The findings shed light on the substantial influences of posting purchases on the use/consumption stage of consumer behavior.

Because posting purchases on social media increases consumers’ happiness, marketers can develop strategies to encourage consumers to post about their purchases more.

To the best of the authors’ knowledge, this research is the first to demonstrate the positive effect of social media purchase posting on consumers’ happiness and identify the mechanism under which this effect occurs.

The purpose of this paper is to explore how art production and marketing in China is attempting to move up the value chain as increasing number of Chinese replica-selling galleries seek to break free from the image of Chinese art towns as skilled but imitative centres of art production.

In-depth interviews were conducted among seven gallery owners in Wushipu art village over three weeks to discover how art production in China has evolved and to chart its future growth.

In the Chinese setting with its distinctive cultural patterns, tensions between the emergent national pride in original art and the facile and commercial moneymaking potential of simply selling industrially produced art are revealed.

The changing dynamics of arts markets in China provide marketers and researchers a glimpse into a parallel trend: the gradual but rising shift to innovation, originality and luxury occurring in the China-based manufacturing centres of material goods.

The attempts to break from the imitative mass production of art and strike a balance between creating and meeting the art needs of the Chinese consumer indicate how domestic market priorities and economic growth are likely to serve as the new fuel for contemporary China’s socioeconomic development.

Via an interpretive look at contemporary Chinese modes of arts production and marketing, the paper revisits the antagonism between the creation of original art and the production of industrial art in a context not well-known in the west, the massive art production centres of China.

The purpose of this paper is to investigate how, in China, postings on social media site Weibo reflect as well as accelerate the reshaping of traditional values. As Chinese social media extend their reach outside China, the displays of visible desire, hedonism and materialism could influence global consumption ethos.

Using interpretive content analysis, over 250 Weibo postings of 8 selected Weibo users, from the network of one of the authors, were identified, coded and interpreted. The users were selected based on their frequency, variety and expressiveness of postings.

Weibo is playing a critical role in transforming Chinese consumer values. Via Weibo, personal consumption experiences are available for public gaze. Consequently, desire for powerfully signified objects and experiences is more visible; “enjoy now” is turning out to be an appreciated life attitude, and materialism and hedonism are growing irresistibly. As a result, the traditional Chinese consumer values – suppressing desire, delaying gratification and thriftiness – are losing ground in Chinese society. Also, as Weibo makes the influence of the elite as well as electronic word-of-mouth very powerful, the values of the elite and grassroots groups are actually converging instead of being separated by substantial chasms that have existed historically.

Sina Weibo had a US initial public offering (IPO) of its stock in April, 2014, and many other China-based Internet firms were getting set for US IPOs. This paper provides unique insights for Chinese social media companies’ potential global impact. Future social media contexts would be shaped by collision as well as convergence of Asia-centric and USA-centric platforms. This paper lays the groundwork for studying such interactions.

In-depth interpretations of Weibo postings contribute to our understanding of how social media impact Chinese society now and would potentially affect global societies later. This is a pioneering study on the massive influences of social media on the macro-level consumer behavior.

In this editorial viewpoint for the special issue, the authors identify a need to deepen our understanding of the important role that Asian consumer culture plays in the global marketplace of the twenty-first century.

This editorial article discusses the emergence of Asian consumer culture, offers an integrative summary of the special issue and develops several key directions for future research.

The authors observe that Asian consumer culture is not a coherent knowledge tradition that can be described merely as “collectivist” or “Confucianist” in nature. Rather, it is better understood as the confluence of cultural traditions that are characterized by inner differentiation and complexity, various transformations and mutual influences in the Asian region and beyond.

Although Asia’s economic growth has received much recent attention, extant theory regarding Asian consumer culture is still in its infancy. The authors highlight important developments in this area that show the path for future work.

The authors make three contributions to the emerging scholarly interest in Asian consumer culture. First, the authors respond to recent calls to increase the use of qualitative methods in Asian contexts. Second, the authors draw attention to the cultural complexities and mutual influences that characterize contemporary Asian consumer cultures, and subcultures in the Asian region and beyond, through the selection of articles for this special issue. Finally, the authors draw the threads together to provide directions for future research in this area.

In a very personal reflection, this paper aims to trace the academic trajectory of a female marketing academic in a very male-dominated discipline. It also highlights the struggle balancing work and family, as well as protecting an immigrant identity in a foreign culture.

Given the period and unique conditions of the author’s academic journey, this highly personal retrospective account is based on recall of significant events that have shaped my singular experience. It attempts to capture the experience of an immigrant female novice navigating not only a foreign culture but also a very male-dominant discipline.

While times have changed and gender barriers are lower today, challenges remain. In addition, the set of choices faced by women with partners in the same discipline differ significantly and complicate the family-work balance decisions. There is no one set of path that can be followed.

While there is a professional cost to deviating from the mainstream, pursuing alternatives to the dominant topics is vital to advancing the health and relevance of the marketing discipline. The relationships between marketing and development have been an important topic for me; however, these macromarketing topics continue to be neglected. Given the current socio-economic-political conditions globally, perhaps future marketing scholars will devote greater attention to these topics.

This is purely the author’s personal reflection of a journey that began accidentally. It also occurred in the 1970s when women were rare in the business world, particularly business academia. It offers a retrospective comparison to male peers who, aside from their individual talents and history (Belk, 2017; Firat, 2014; Holbrook, 2017), were achieving their professional goals at a similar period. It also provides some historical context that can be compared to experiences of other female pioneers in marketing academia and marketing practice (Bolton, 2017; Tadajewski and Maclaran, 2013; Zeithaml, 2017).

Nuclear power is a stable and reliable energy source that can improve energy structure while reducing carbon emissions, which is of great significance for environmental protection and combating climate change. As a unique industry, it is facing rare development opportunities in China and has broad market prospects. However, the characteristics of technical difficulty, loose organizational structure and uneven regional distribution limit the expansion of the nuclear power industry. This paper aims to a better understanding of the accumulation process for innovation capability from the perspective of network evolution and provides policy guidance for the market development of the nuclear power industry (NPI).

Methodologically, social network analysis is used to explore the co-evolution of multidimensional collaboration networks. First, the development and policy evolution of the NPI is introduced to divide the evolution periods. Then, the authors identify and analyze the core organizations, technologies and regions that promote nuclear power patent collaboration. Furthermore, three levels of collaboration networks based on organizations, technologies and regions are constructed to analyze the coevolution of patent networks in China’s NPI.

The results show that nuclear power enterprises always play the foremost role in the organizational collaboration network (OCN), and the dominance of foreign enterprises is replaced by Chinese state-owned enterprises in the third period. The technology hotspot has shifted from nuclear power plant construction to the control system. The regional collaboration network was initially formed in the coastal areas and gradually moved inland, with Guangdong and Beijing becoming the two cores of the network. The scale of three collaboration networks is still expanding but the speed has slowed down.

In response to the pain points of the NPI, this research focuses on multidimensional collaborative innovation, investigates the dynamic evolution process of collaborative innovation networks in China’s NPI and links policy evolution with network evolution creatively. The ultimate result not only helps nuclear power enterprises integrate innovative resources in complex environments but also promotes industrial upgrading and market development.

As cross-cultural mergers and acquisitions (M&A) have learning effects on organisations, assessing their impacts on corporate performance is crucial. This study aims to explore the impact of inter-firm cultural differences on long-term post-M&A stock market performance.

The authors select domestic M&A transactions of Chinese listed companies during 2010–2021 as the sample. Then, the authors use the partial least squares structural equation model (PLS-SEM) to construct the latent variable of cultural differences in four dimensions to explore long-term stock market performance.

Cultural differences first positively and then negatively impact post-M&A performance. Three transmissions mechanisms are identified: investor sentiment, takeover premiums and information disclosure quality. Further analysis reveals that acquirer stock performance improves with higher analyst coverage and non-local shareholders but worsens if there are business affiliations between the acquirer and target firms.

This study can help optimise information disclosure systems in M&A transactions for regulatory authorities and aid investors’ understanding of post-M&A performance changes. Furthermore, it can improve acquirers’ understanding of the risks and opportunities in cross-cultural M&A, thereby facilitating the adaptation of management practices to the im-pacts of cultural differences.

By integrating the theories of resource dependence and transaction costs, this study examines the reversal effect of cultural differences between merging companies on post-M&A performance. The authors use a PLS-SEM to empirically analyse the main effects and reveal three transmission mechanisms.

Electricity demand forecasting has always been a key issue, and inaccurate forecasts may mislead policymakers. To accurately predict China’s electricity demand up to 2030, this paper aims to establish a cross-validation-based linear model selection system, which can consider many factors to avoid missing useful information and select the best model according to estimated out-of-sample forecast performances.

With the nine identified influencing factors of electricity demand, this system first determines the parameters in four alternative fitting procedures, where for each procedure a lot of cross-validation is performed and the most frequently selected value is determined. Then, through comparing the out-of-sample performances of the traditional multiple linear regression and the four selected alternative fitting procedures, the best model is selected in view of forecast accuracy and stability and used for forecasting under four scenarios. Besides the baseline scenario, this paper investigates lower and higher economic growth and higher consumption share.

The results show the following: China will consume 7,120.49 TWh, 9,080.38 TWh and 11,649.73 TWh of electricity in 2020, 2025 and 2030, respectively; there is hardly any possibility of decoupling between economic development level and electricity demand; and shifting China from an investment-driven economy to a consumption-driven economy is greatly beneficial to save electricity.

Following insights are obtained: reasonable infrastructure construction plans should be made for increasing electricity demand; increasing electricity demand further challenges China’s greenhouse gas reduction target; and the fact of increasing electricity demand should be taken into account for China’s prompting electrification policies.

A vital job for one sharing business is dynamically dispatching shared items to balance the demand-supply of different sharing points in one sharing network. In order to construct a highly efficient dispatch strategy, this paper proposes a new dispatching algorithm based on the findings of sharing network characteristics.

To that end, in this paper, the profit-changing process of single sharing points is modeled and analyzed first. And then, the characteristics of the whole sharing network are investigated. Subsequently, some interesting propositions are obtained, based on which an algorithm (named the Two-step random forest reinforcement learning algorithm) is proposed.

The authors discover that the sharing points of a common sharing network could be categorized into 6 types according to their profit dynamics; a sharing network that is made up of various combinations of sharing stations would exhibit distinct profit characteristics. Accounting for the characteristics, a specific method for guiding the dynamic dispatch of shared products is developed and validated.

Because the suggested method considers the interaction features between sharing points in a sharing network, its computation speeds and the convergence efficacy to the global optimum scheme are better than similar studies. It suits better to the sharing business requiring a higher time-efficiency.