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The authors aim to examine how the construal level, either as an individual temporal orientation or temporal distance of promotion, moderates the effects of emojis' emotional intensity on consumers' purchase intentions in social media advertising.

Two experiments are used to test four hypotheses.

The results of two experimental studies show that present-oriented participants reveal greater purchase intentions when low (vs high) emotionally intense emojis are embedded in a social media ad; but future-oriented consumers showed no difference when viewing ads with the two different emojis. In Study 2, participants indicate greater purchase intentions when a social media ad includes a distant-future promocode and high (vs low) emotionally intense emojis and an ad with a near-future promocode and low (vs high) emotionally intense emojis.

The current study advances our understanding how emojis with different emotional intensities can be effectively used in social media ads. This study also provides theoretical implications to construal level theory (CLT) by examining how emojis interact with construal level, either as a chronic tendency or simulated by psychological distance, can influence consumer response.

Knowledge sharing, as a kind of social behavior that incorporates collective intelligence to achieve a certain goal, has become a remarkable developing trend in recent years. Under the context of traditional teaching, this study aims to explore the manner in which students become effective in sharing knowledge to help optimize course design and improve our existing education.

Among 195 university students taking an elective, the effects of different incentives on group performance in completing tasks is explored on the basis of a randomized experiment.

Results show that intra-group cooperation can be helpful to student performance, whereas intra-group competition neither improves nor worsens student performance. The former is mainly driven by reciprocity, especially for that stimulated by inter-group competition, whereas the latter is stimulated by egoism. Thus, proper reciprocity can promote student behavior to increase voluntary contribution. In addition, intra-group differences do not interfere with group performance, especially task-oriented groups.

Certain suggestions are proposed to improve the curriculum design in large classrooms. Forming groups is the best way to strengthen student knowledge sharing. Within task-oriented groups, the incentives of inter-group competition can encourage students to deepen intra-group cooperation and thus effectively improve group performance under the conditions of external competition.

Based on cue utilization theory, this study aims to examine effects of the style (fashion vs basic) and licensing status (licensed vs nonlicensed) of university-related apparel products (URAPs) as intrinsic and extrinsic cues, respectively, impacting university fans’ responses (i.e. attitudes, purchase intentions and purchase behaviors) and the moderating roles of personal factors (i.e. perceived university prestige, quality consciousness and uniqueness seeking).

Data were collected via an online quasi-experiment employing a 2 (licensing status: licensed vs nonlicensed) × 2 (style: basic vs fashion) within-subjects design with a purposeful sample of 1,126 students and alumni of a Southeastern American university.

Results show that consumers generally responded more favorably to licensed (vs nonlicensed) URAPs, especially for basic styles, whereas their responses to fashionable URAPs were more favorable for nonlicensed (vs licensed) URAPs. Furthermore, the positive effects of licensing status were stronger for consumers with high (vs low) perceived university prestige or quality consciousness. Consumers generally more favorably responded to basic (vs fashion) URAPs, but this style effect was weaker among those with a high (vs low) uniqueness seeking tendency.

Theoretical explanations on URAP consumption have been scant in the product and brand management literature. This study fills this literature gap by conceptualizing extrinsic (i.e. licensing status) and intrinsic (i.e. style) cues crucial in URAP consumption from a cue utilization theory lens and demonstrating empirical evidence for the intricate interplays among the two cues and diverse personal characteristics.

E-commerce continues to experience unprecedented growth, but a lack of understanding of socio-behavioral aspects of green last-mile delivery solutions is conflicting with e-commerce and shipping companies' climate-related pledges to e-shoppers. This study seeks to correct for research deficiencies in the e-commerce context by determining how e-shoppers' adoption of green last-mile delivery might be influenced by socio-behavioral factors, personality traits; and e-shopping motivations.

To test the hypotheses, this study collected data from 319 US adults enrolled in an online panel survey and conducted hierarchical regression analyses after controlling for demographic variables.

Results showed that socio-behavioral variables (attitude, subjective norms and perceived behavior control) contributed 60.3% of the unique variance in explaining purchase intention via green delivery (PIGD). Notably, e-shopping motivations derived from utilitarian features (convenience and energy efficiency) and experiential features (e-shopping adventure) emerged as significant predictors of PIGD. Although personality traits (conscientiousness and openness) significantly predicted PIGD in the regression model, the individual effect of openness was not significant. Further, demographic subgroups, including gender, education and income level revealed significant outcomes, while age and ethnicity exhibited no significant group differences with the above-mentioned variables.

The study findings would provide online retailers and marketers with in-depth insight on how green marketing initiatives can increase responsible consumers' intention to purchase via green delivery.

This is a one-of-a-kind effort that integrates and tests e-shoppers' socio-behavioral factors, e-shopping motivations and personality traits into a single model.

To better understand the success of an open source software (OSS) project, this study aims to examine the role of social dependency networks (i.e. social and technical dependencies) in online communities.

This study focuses on dependencies using three network metrics – degree centrality, betweenness centrality and closeness centrality – in developer and module networks. A longitudinal analysis from the projects hosted at Sourceforge.net is conducted to examine the effects of social and technical networks on the success of OSS projects. To address our research questions, we have constructed research models to investigate the social network effects in developer networks, the technical network effects in module networks, and the social-technical network effects in both types of networks.

The results reveal nonlinear relationships between degree centrality in both social and technical networks and OSS success, highlighting the importance of a moderate level of degree centrality in team structure and software architecture. Meanwhile, a moderate level of betweenness centrality and a lower level of closeness centrality between developers lead to a higher chance of OSS project success.

This study is the first attempt to consider the network metrics in both module networks of the technical sub-system and developer networks of the social sub-system to better understand their influences on project success.

A number of automated tools will be required for the purpose of enabling efficient services in air traffic control. The purpose of this paper is to devise an optimal flight trajectory search method that optimizes airspace system efficiency for 3D space in the presence of uncertainties.

This paper put forward an optimization model for generating applicable solutions of multi-aircraft conflict resolution problem, and the solution is based on the principle of optimality.

The conflict resolution problem between multiple aircraft can be described by spatial discretization, and the approach taken digitizes the 3D space into a grid of nodes.

The simulation examples are given to illustrate the validity of trajectory search model and stress on the impact of different system parameters.

Realistic constraints that are convenient to operate are incorporated in the system model, and the results show that it can provide reliable decision-making for conflict avoidance.

In this chapter, the authors investigate the experiences of air passengers in the airside setting of commercial airports. Whilst the concept of liminality has found increased interest in tourism studies, only few studies have contextualized the airside experience as a liminal one. We investigate the role of food and beverage (F&B) consumption in this context as well as factors influencing F&B outlet patronage intentions. Using a European non-hub commercial airport as practical unit, we applied a mixed methods single case-study methodology to investigate F&B outlet choice in the airside setting. It becomes evident that perceptions of liminality play an important role in this context. Findings support the claim that the airport environment constitutes a special context, an encapsuled or protected space; not only for passengers, but also for employees alike. Whilst airports have a certain uniformity to regular travelers, infrequent travelers perceive air travel as an extraordinary activity, often paired with a certain uncertainty about related procedures. Evidence suggests that passengers’ emotional states play a key role in consumption decisions. Depending on travel purpose and direction, passengers showed differing consumption behaviors.

Understanding the airport airside area as a liminoid space and using the concept of boundary work for the transition between home and work realms (and back again) thus serves as a suitable frame of reference to help understand the phenomena that were observed and analyzed in this study. F&B consumption can then be understood to support the mental transition between home and work realms. Our findings thus allow linking the passenger clusters’ different consumption behavior to prevailing emotional states in their transgressions between work and home realm in the liminoid airside context.

Under the background of low consumer financial knowledge and accumulated credit card liabilities, this study investigates the relationship between financial knowledge and responsible credit card behavior using data from the 2019 China Household Finance Survey (CHFS). From the perspective of consumer economic well-being, this study defines accruing credit card debt to buy houses and cars when loans with lower interest rates are available as irresponsible credit card behavior.

This study uses probit regressions to examine the association between financial knowledge and responsible credit card behavior because the dependent variable is a dummy variable. To alleviate endogeneity problems, this study uses instrument variables and Heckman’s two-step estimation. Furthermore, to explore the potential mediators in this process, this study follows the stepwise regression method. Finally, this study introduces interaction terms to examine whether this association differs in different groups.

The results indicate that financial knowledge is conducive to increasing the probability of responsible credit card behavior. Mediating analyses reveal that the roles of financial knowledge occur by increasing the degree of concern for financial and economic information and the propensity to plan. Moderating analyses show that the effects of financial knowledge on responsible credit card behavior are stronger among risk-averse consumers and in regions with favorable digital access.

This study measures responsible credit card behavior from the perspective of the consumer’s well-being, which enriches practical implications for consumer finance. Furthermore, this study explores the potential mediators influencing the process of financial knowledge that affects responsible credit card behavior and identifies moderators to conduct heterogeneous analyses, which helps comprehensively understand the nexus between financial knowledge and credit card behavior. By achieving these contributions, this study helps to curb the adverse effects of irresponsible credit card behavior on consumers’ well-being and the economic system and helps policymakers promote financial knowledge to fully prevent irresponsible credit card behavior.

A sensor to determine TOC is described. It is based on the photoassisted degradation of organic compounds concurring to TOC and on the determination of the resultant CO₂. The sensor was successfully tested on target molecules, demonstrating that the linear correlation constant between TOC values and produced CO₂ varies according to the considered compound so that absolute value determination is not possible in largely heterogeneous solutions but can only be referred to reference compounds on the TOC scale.