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The advancements of mobile technologies and devices have greatly facilitated the extension of online services from web to mobile environments. Drawing on the categorization theory, the purpose of this paper is to explore the impact of perceived entitativity on users’ web-mobile service extension behavior. The research model considers how perceived entitativity serves as a category cue to link the category- and piecemeal-based processing and shape users’ adoption of extended mobile services.

An online survey (n=552) was conducted to empirically test the model. The data were analyzed by structural equation modeling approach.

The results offer two major findings. First, performance expectancy, perceived controllability and subjective norm are important antecedents of users’ usage intention. Second, perceived entitativity has three types of effects on usage intention: it exerts a direct and positive influence on usage intention; it indirectly facilitates usage intention through increasing PE and perceived controllability; and it moderates the relationship between subjective norm and usage intention.

This study contributes to the literature by taking into account the interplay of category- and piecemeal-based processing to understand consumers’ web-mobile service extension behavior.

Drawing from the spillover effect literature, the purpose of this paper is to investigate the spillover effect in consumers’ web-mobile payment extension behavior. The authors figure out two categories of factors associated with the spillover effect: relevant schema and schematic fit. Cognitive trust and emotional trust in web payment are used to capture relevant schema, while perceived similarity and perceived business tie are proposed to denote schematic fit in the web-mobile payment extension context.

An online survey (n =552) was conducted to empirically test the model. The data were analyzed by structural equation modeling approach.

The results show that relevant schema and schematic fit factors positively influence perceived value of mobile payment (MP), which facilitates consumers’ behavioral intention of MP.

This study contributes to the extant literature by theoretically identifying the key factors of the spillover effect and empirically investigating its role during the web-mobile service extension process.

Drawing on the control agency theory and the network effect theory, the purpose of this paper is to examine the effect of privacy assurance approaches, network externality and technology complementarity on consumers’ self-disclosure in mobile payment (MP) applications. The authors identify four types of privacy assurance approaches: perceived effectiveness of privacy setting, perceived effectiveness of privacy policy, perceived effectiveness of industry self-regulation and perceived effectiveness of government legislation. The research model considers how these privacy assurance approaches influence privacy concerns and consumers’ self-disclosure in MP applications under boundary conditions of network externality and technology complementarity.

An online survey with 647 sample users was conducted to empirically validate the model. The target respondents were current consumers of a popular MP application. The empirical data were analyzed by a structural equation modeling approach.

The empirical results reveal several major findings. First, privacy assurance approaches can effectively decrease privacy concerns, which ultimately formulates consumers’ self-disclosure in MP applications. Second, network externality and technology complementarity weaken the effect of perceived effectiveness of privacy setting on privacy concerns. Third, network externality and technology complementarity strengthen the relationship between perceived effectiveness of government legislation and privacy concerns, while they have non-significant interaction effect with perceived effectiveness of privacy policy and industry self-regulation on privacy concerns.

MP providers and stakeholders can harness the efficacy of privacy assurance approaches in alleviating privacy concerns and promoting consumers’ self-disclosure in MP applications.

The authors’ work contributes to the information privacy literature by identifying effective privacy assurance approaches in promoting consumers’ self-disclosure in MP applications, and by highlighting boundary conditions of these privacy assurance approaches.

Drawing on the social learning theory, the purpose of this paper is to examine the antecedents and consequences of users’ excessive online social gaming. Specifically, the authors develop a model to propose that observational learning and reinforcement learning mechanisms together determine excessive online social gaming, which further foster adverse consequences.

The model is empirically validated by a longitudinal survey among users of a popular online social game: Arena of Valor. The empirical data are analyzed using component-based structural equation modeling approach.

The empirical results offer two key findings. First, excessive online social gaming is determined by observational learning factors, i.e. social frequency and social norm, and reinforcement learning factors, i.e. perceived enjoyment and perceived escapism. Second, excessive online social gaming leads to three categories of adverse consequences: technology-family conflict, technology-work conflict and technology-person conflict. Meanwhile, technology-family conflict and technology-work conflict further foster technology-person conflict.

This study contributes to the literature by developing a nomological framework of excessive online social gaming and by extending the social learning theory to excessive technology use.

In the growing information systems (IS) literature on metaverse, augmented reality (AR) technology is regarded as a cornerstone of the metaverse which enables interaction services. Interaction has been identified as a core technology characteristic of metaverse shopping environments. Based on previous human–technology interaction research, the authors further explicate interaction to be multimodal sensory. The purpose of this study is thus to better understand the unique nature of interaction in AR technology and highlight the technology's benefits for shopping in metaverse spaces.

An experiment has been conducted to empirically examine the authors' research model. The authors use the structural equation modeling (SEM) approach to analyze the collected data.

This study conceptualizes image, motion and touchscreen interactions as the three dimensions of multimodal sensory interaction, which can reflect visual-, kinesthetic- and haptic-based sensation stimulation. The authors' findings show that multimodal sensory interaction of AR activates consumers' intention to purchase via a psychological process. To delineate this psychological process, the authors use feelings-as-information theory to posit that experiential factors can influence cognitive factors. More specifically, multimodal sensory interaction is shown to increase multisensory experience and spatial presence, which can effectively reduce product uncertainty and information overload. The two outcomes have been considered to be key issues in online shopping environments.

This study is one of the first ones that shed light on the multimodal sensory peculiarity of AR interactions in the extant IS literature. The authors further highlight the benefits of AR in addressing major online shopping concerns about product uncertainty and information overload, which are largely overlooked by prior research. This study uses feelings-as-information theory to explain the impacts of AR interactions, which reveal the essential role of the experiential process in sensory-enabling technologies. This study enriches the existing theoretical frameworks that mostly focus on the cognitive process. The authors' findings about AR interactions provide noteworthy guidelines for the design of metaverse environments and extend the authors' understanding of how the metaverse may bring benefits beyond traditional online shopping settings.

This paper examines the relation between political sentiment and future stock price crash risk.

This study employs firm-level political sentiment from earnings conference calls. The empirical analysis applies panel regressions on 40,254 US firm-year observations between 2002 and 2020, controlling for various firm-specific determinants of crash risk and firm-, industry- as well as time-fixed effects.

The study identifies a negative association between both the level and the change of political sentiment and stock crash risk. Further analysis shows that the predictive power of political sentiment is independent of either non-political sentiment or political risk and remains consistently strong during periods of either high or low economic policy uncertainty. Moreover, the predictive effect of political sentiment is more pronounced for firms with high litigation risk.

The evidence highlights the important role of political sentiment in predicting stock crash risk. The results are consistent with the signaling hypothesis that managers tend to use their tone in conference calls to convey informative messages on firm outlooks.

The study provides a recommendation on risk management: soft information such as political and non-political sentiment in earnings conference calls is useful in managing stock crash risk. The study findings also call for careful consideration of social costs, such as stock crash risk, associated with political policies. Ill-conceived policies may lead to market crashes, which can potentially outweigh the upsides of well-meaning political reforms.

To the authors best knowledge, this is the first study to identify the effect of time-varying firm-level political sentiment conveyed in conference calls on stock price crash.

The purpose of this paper is to examine how employee satisfaction affects firm value around the financial crisis.

The authors use the 2008 financial crisis as exogenous shocks to firms to mitigate endogenous concern that employee satisfaction and firm value can be jointly determined. The authors compare firm value of two groups of firms: the firms on the Fortune magazine’s list of “100 Best Companies to Work For” and matched firms that are not on the list. The authors employ difference-in-difference approaches in the tests.

The authors find that when the crisis happens, the best companies experience larger decreases in firm value than comparable firms. In addition, such decreases in firm value only exist among the best companies with high financial flexibility. The authors also show that job satisfaction alone does not create firm value during the financial crisis; only when interacted with high financial flexibility, employee satisfaction leads to high firm value. Finally, the authors document that best companies do not have any advantage in the recovery of firm value after the crisis, regardless of their level of financial flexibility.

There is considerable debate on whether job satisfaction leads to performance or performance leads to satisfaction (Luthans, 1998). The authors show that the impact of employee satisfaction on firm value changes over time. The authors also identify a crucial factor that impacts the value-creation of employee satisfaction: financial flexibility. The findings suggest that the ambiguous results documented in prior literature can be due to the different sample periods and the failure to identify the impact of financial flexibility in previous studies.

The findings provide helpful implications to the business community. The evidence suggests that to reap the benefits of employee satisfaction, companies need to manage their financial flexibility to buffer against potential negative shocks while having strong corporate governance mechanism to mitigate agency concerns. Moreover, the study provides an investment recommendation to socially responsible investment (SRI) and suggests that it is better off implementing dynamic SRI investment strategies according to economic condition.

The evidence suggests that the economic value of employee satisfaction is related to firms’ financial flexibility and economic conditions.

The authors contribute to the literature by showing that the impact of employee satisfaction on firm value changes over time. The test design not only allows the authors to study the effect of employee satisfaction on firm value at a particular point in time, but also helps the authors examine the variation in the effect over economic cycles. This paper also contributes to the literature on SRI. The authors identify a crucial factor that impacts the value-creation of employee satisfaction: financial flexibility.

In the limited existing research on smartphone addiction, reinforcement reward and automatic habit have been identified as two distinct underlying mechanisms. The purpose of this paper is to better understand the interaction between these two mechanisms, as well as role of smartphone features in activating different formation mechanisms.

An online survey with 379 samples was conducted to empirically validate the model. The data were analyzed by structural equation modeling approach.

The automatic habit strengthens the driving effects of reinforcement rewards (i.e. perceived enjoyment and mood regulation) on smartphone addiction. Smartphone features activate distinct underlying mechanisms. Value-added function facilitates the perception of reinforcement rewards, while convenience promotes the habit formation.

This study is one of the first ones that assess the interplay between the two formation mechanisms in the extant literature on smartphone addiction. This study also reveals the dangers of smartphone features which have always been regarded as advantages. The findings contribute to the current understandings of smartphone addiction.

Extant literature has indicated that government support is one of the main drivers of international expansion of Chinese multinational enterprises. However, research on the influence of governors on firm internationalization is still limited. Drawing upon the institution-based view, we theorize a novel concept of institutional enablement to illustrate the influence of a governor's pro-market ideology on Chinese firms' internationalization.

We analyze the relationship between a governor's pro-market ideology (consisting of a pro-market political ideology, an overseas educational background and a business background) and firm internationalization with a sample of Chinese public companies during 2014–2017.

We find a direct and positive effect of a governor's pro-market ideology on firm internationalization. We also find an indirect and positive effect of a governor's pro-market ideology through regional, inward foreign direct investment.

To the best of our knowledge, this paper is the first to investigate an underexplored question of the impact of governors on firm internationalization and to develop a novel concept of institutional enablement, based on discursive institutionalism.