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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.

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.

The purpose of this paper is to solve the azimuth sensitivity of a high-resolution range profile (HRRP), which is one of the biggest obstacles faced by a radar automatic target recognition (RATR) system.

Aimed at addressing the shortcomings of the equal angular-sector segmentation based on the scatterer model, an adaptive angular-sector segmentation is proposed on the basis of grey incidence analysis (GIA).

The main conclusions reached are as follows. First, the adaptive angular-sector segmentation in terms of GIA is suitable for RATR based on the HRRP; and, second, the adaptive angular-sector segmentation based on the type-B degree of grey incidence model is better than the Deng-Si degree of grey incidence model and the degree of grey slope incidence model.

The outcome obtained in this paper can be selected for the RATR application.

This paper has been built on the basis of previous research achievements, and a new RATR method of adaptive angular-sector segmentation is presented based on the GIA.

This paper aims to develop a crisis readiness framework for road traffic crisis response for law enforcement agencies in the United Arab Emirates (UAE).

A Delphi method was used that combined questionnaire-based survey and the analytical hierarchy process to collect quantitative and qualitative data from an expert panel of crisis readiness professionals on how they prioritise and weigh the different strategic criteria, sub-criteria and performance indicators in the context of law enforcement agencies’ traffic response.

The findings of this paper resulted in the identification, ranking and validation of ten key dimensions of crisis readiness clustered into three distinct sets of priority rankings: response planning, resources, training and coordination; information management and communication and risk and hazard assessment; and early warning, legal and institutional frameworks, recovery initiation and property protection. The results additionally established the relative priority of sub-criteria for each criterion and validated a broad set of key performance indicators (KPIs) for the top six ranked criteria.

The findings are based on a single case study focused on a specific area of operation within crisis response and one group of organisations of the UAE police sector. This potentially places a constraint on the wider generalisation of the findings to different operational areas and agencies, as they may have different priorities or organisational conditions that have implications for the framework application and the relative importance of certain criteria and sub-criteria.

This paper provides strategic guidance in the form of a prioritised list of criteria, sub-criteria and KPIs that can direct efforts to optimise different dimensions of crisis readiness at a strategic and operational level.

This paper makes an original contribution in identifying the key criteria and performance indicators of crisis readiness for road traffic situations. The findings contribute a comprehensive strategic readiness framework that supports planning and decision-making for the development of organisational capacities that can enhance response times of police to road traffic crises. This framework ranks dimensions of crisis readiness and key sub-criteria in order of priority and validates the key components of crisis readiness that can support practitioners to structure, standardise and benchmark key processes and elements of crisis response.

The purpose of this paper is to present the temporal reflection of electromagnetic waves (EMWs) in simple polar-molecule reactions whose polarization changes with the proceeding of the reactions.

At a temporal boundary, based on the continuity of the electric displacement and magnetic induction, the reflected condition of EMWs is obtained, and the expression of the transmission and reflection coefficients in the reactions is derived. Subsequently, a one-dimensional model is used to validate the reflected condition and expression.

If the time scale of the component concentration variation is greater than the wave period, the polarization of the reactions at a temporal boundary is continuous. The reflection does not happen. On the other hand, when the time scale of the component concentration variation is smaller than the wave period, the polarization is not continuous at a temporal boundary. The impedance of the reactions at the temporal boundary changes and the reflection occurs.

The results may be helpful in disclosing the non-uniform distribution of EMWs in chemical reactions.