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Health short videos are serving as a powerful tool for encouraging individuals to actively adopt healthier behaviors. The sensory cues applied in these videos can be useful for engaging peripheral processing and enhancing attitudes. While previous research has examined the effects of various single cues, this study features a pioneering attempt to explore the roles of audiovisual cross-modal correspondence, encompassing multisensory cues perceived through different modalities, in health communication.

A 2 (color: warm/cool) × 2 (music tempo: fast/slow) between-subjects experiment was conducted to observe 120 participants’ responses to a health short video promoting eye health that was created using four different combinations of background color and background music tempo.

It was found that the congruent color–tempo pairings, that is blue & slow and orange & fast, led to more positive attitudes toward the videos than the incongruent pairings, that is blue & fast and orange & slow. The effect of cross-modal correspondence on attitude was fully mediated by processing fluency, with gender acting as a moderator between the two variables. Furthermore, individuals’ attitudes toward a short video positively influenced their health behavioral intentions.

These findings not only lend support to the theoretical framework of “multisensory cues-fluency-attitude-intention” chain for persuasion purposes but also have practical implications for creating effective health short videos.

Improving the diversity of recommendation information has become one of the latest research hotspots to solve information cocoons. Aiming to achieve both high accuracy and diversity of recommender system, a hybrid method has been proposed in this paper. This study aims to discuss the aforementioned method.

This paper integrates latent Dirichlet allocation (LDA) model and locality-sensitive hashing (LSH) algorithm to design topic recommendation system. To measure the effectiveness of the method, this paper builds three-level categories of journal paper abstracts on the Web of Science platform as experimental data.

(1) The results illustrate that the diversity of recommended items has been significantly enhanced by leveraging hashing function to overcome information cocoons. (2) Integrating topic model and hashing algorithm, the diversity of recommender systems could be achieved without losing the accuracy of recommender systems in a certain degree of refined topic levels.

The hybrid recommendation algorithm developed in this paper can overcome the dilemma of high accuracy and low diversity. The method could ameliorate the recommendation in business and service industries to address the problems of information overload and information cocoons.

Concerns regarding the implementation of interventions to address misinformation have been prominent in Hong Kong and other regions. This study aims to explore the factors that influence public support for digital platform regulation, media literacy education and legislation in the fight against misinformation.

This study utilized data from a nationally sampled survey in Hong Kong (N = 1,654) collected during the COVID-19 pandemic.

Perceptions of the direction in which misinformation is biased moderated the influence of the third-person perception on support for all three intervention types: digital platform regulation, media literacy education and legislation. As individuals differ in their focus on either penalizing those who spread misinformation or safeguarding themselves from potential consequences, varying strategies are favored. Media literacy education stands out as a preferred approach since it neither penalizes individuals nor restricts freedom of expression, offering a gentle form of intervention.

Governments may view media literacy education as a favorable intervention, as it garners support without infringing on free speech. Conversely, individuals advocating for more stringent measures, such as enforcement actions, may lean towards legislation rather than literacy education.

This research is unique in its simultaneous comparison and contrast of public support for three misinformation interventions. It underscores the significance of taking both third-person perceptions and perceptions of bias of misinformation into account when considering strategies to combat misinformation.

This research explores the concept of omnichannel fulfillment steering (OFS) and demonstrates how retailers can influence a consumer’s fulfillment decisions through commonly used financial incentives such as discounts, credits and the opportunity to avoid home delivery fees.

We present insights from two theoretically grounded experiments to examine how different types of financial incentives can be used by omnichannel retailers to steer consumers from home delivery toward three alternative order fulfillment methods (AOFM) – buy-online-pickup-in-store, curbside-pickup and ship-to-locker.

Our analysis suggests that an opportunity to avoid shipping fees (penalty-avoidance) is a more effective OFS nudge than offering discounts or store credits (rewards). No difference was observed between offering discounts or credits as steering mechanisms; further, no omnichannel steering benefits were observed among the tested AOFMs. Collectively, these findings provide possible justification for retailers’ prioritization of credits to foster customer in-store visits, thus encouraging greater customer engagement and facilitating cross-selling opportunities. Finally, we uncover a penalty-avoidance endowment effect for “free shipping” of purchases over the current industry-standard free shipping threshold.

Retailers might prioritize store credits over discounts as nudges to steer customers toward an AOFM, with buy-online-pickup-in-store offering the greatest benefits for most retailers. Furthermore, using penalty-avoidance OFS incentives over a typical free shipping threshold may increase AOFM selection rates but engender adverse customer reactions.

Advancing the concept of OFS, this study directly informs retailers’ omnichannel incentive programs to nudge customers back into the store. Countering intertemporal choice theory, we could not demonstrate that delayed incentives are less effective than immediate ones. Based on prospect theory, we identify a free shipping endowment effect at a specific reference point along a purchase amount continuum.

The novelty addressed here is undertaken by using tailor-made and fully characterized starch nanoparticles (SNPs) having a particle size ranging from 80 to 100 nm with a larger surface area, biodegradability and high reactivity as a starting substrate for cadmium ions and basic dye removal from wastewater effluent. This was done via carboxylation of SNPs with citric acid via esterification reaction using the dry preparation technique, in which a simple, energy-safe and sustainable process concerning a small amount of water, energy and toxic chemicals was used. The obtained adsorbent is designated as cross-linked esterified starch nanoparticles (CESNPs).

The batch technique was used to determine the CESNPs adsorption capacity, whereas atomic adsorption spectrometry was used to determine the residual cadmium ions concentration in the filtrate before and after adsorption. Different factors affecting adsorption were examined concerning pH, contact time, adsorbent dose and degree of carboxylation. Besides, to validate the esterification reaction and existence of carboxylic groups in the adsorbent, CESNPs were characterized metrologically via analytical tools for carboxyl content estimation and instrumental tools using Fourier-transform infrared spectroscopy (FTIR) spectra and scanning electron microscopy (SEM) morphological analysis.

The overall adsorption potential of CESNPs was found to be 136 mg/g when a 0.1 g adsorbent dose having 190.8 meq/100 g sample carboxyl content at pH 5 for 60 min contact time was used. Besides, increasing the degree of carboxylation of the CESNPs expressed as carboxyl content would lead to the higher adsorption capacity of cadmium ions. FTIR spectroscopy analysis elucidates the esterification reaction with the appearance of a new intense peak C=O ester at 1,700 cm⁻¹, whereas SEM observations reveal some atomic/molecules disorder after esterification.

The innovation addressed here is undertaken by studying the consequence of altering the extent of carboxylation reaction expressed as carboxyl contents on the prepared CESNPs via a simple dry technique with a small amount of water, energy and toxic chemicals that were used as a sustainable bio nano polymer for cadmium ions and basic dye removal from wastewater effluent in comparison with other counterparts published in the literature.

The authors empirically examined the theoretically recognized industrial linkages between manufacturing and services from the trade perspective. In particular, they confirmed the trade effect of manufacturing on services, given that global value chain fragmentation pervades and splits manufacturing and services segments separately in developed and developing countries.

Based on observations of 47 countries with manufacturing and service trade data from 1990 to 2020 and with gravity model specification, the authors primarily used the Poisson pseudo-maximum likelihood (PPML) estimation with multiple levels of fixed effects. Considering that many zero values are included in the dependent variable and potential endogeneity, other methods such as Tobit regression, Heckman estimation and two-stage least squares estimation (2SLS) are used. Subsample estimation also supplemented the empirical research.

The results showed that manufacturing trade is a stepping-stone rather than an obstacle to service trade. This finding exhibited significant robustness under different model specifications, instrumental variable estimation and subsample checks. Moreover, in contrast to the north–north country ties, manufacturing trade between northern and southern countries has played a prominent stepping-stone role; meanwhile, manufacturing trade among core–peripheral countries has a considerably more significant impact than the outcomes of core–core and peripheral–peripheral countries.

The authors provided direct clarification and revealed that trade in manufacturing remains the demand basis for service trade. As trade in manufacturing and services are typical phenomena of transnational production linkages, the authors suggested exploring the underlying role of global value chain (GVC) fragmentation and the offset and even barrier effect of biased institutional arrangements on GVC fragmentation.

The purpose of the study was to investigate both the positive and negative effects of workplace loneliness on innovative behavior. By applying the unified theory on contingencies of self-worth, the study aimed to integrate these effects into a single framework, thereby confirming the presence of the double-edged sword effect of workplace loneliness on innovative behavior.

A survey was conducted among enterprises across China, involving 246 employees. Hierarchical regression analysis was utilized to test the moderating hypotheses. Additionally, the mediating effects and the moderated mediation effects were further explored using the bootstrapping method.

The results indicated that workplace loneliness positively influenced innovative behavior through the desire to prove ability, with the promotion regulatory focus enhancing this relationship. Conversely, workplace loneliness negatively influenced innovative behavior through self-handicapping, with the prevention regulatory focus intensifying this relationship.

The findings revealed that workplace loneliness exerts a double-edged effect on innovative behavior. Lonely employees can enhance their sense of self-worth by engaging in domain switching, thereby alleviating feelings of loneliness.

The research confirmed a novel perspective: workplace loneliness can promote innovative behavior by influencing employees’ desire to prove ability. It also revealed the double-edged sword effect of workplace loneliness on innovative behavior. Based on these findings, employees experiencing loneliness can enhance their self-worth and alleviate feelings of loneliness through domain switching.

This paper aims to explore the effect of teacher–student collaboration on academic innovation in universities in different stages of collaboration.

Based on collaboration life cycle, this paper divided teacher–student collaboration into initial, growth and mature stages to explore how teacher–student collaboration affects academic innovation.

Collecting data from National Science Foundation of China, the empirical analysis found that collaboration increases the publication of local (Chinese) papers at all stages. However, teacher–student collaboration did not significantly improve the publication of international (English) papers in the initial stage. In the growth stage, teacher–student collaboration has a U-shaped effect on publishing English papers, while its relationship is positive in the mature stage.

The results offer suggestions for teachers and students to choose suitable partners and also provide some implications for improving academic innovation.

This paper constructed a model in which the effect of teacher–student collaboration on academic innovation in universities was established.

The purpose of this paper is to investigate both the impact of different reward types and the adoption of knowledge-sharing practice on a crowdsourcing-based open innovation contest. Despite the benefit of knowledge sharing, contestants could struggle to find a balance between knowledge sharing and knowledge protection in open innovation.

The authors' approach follows a stylised contest model in a game-theoretical setting in which contestants first decide on their efforts and then the contest sponsor chooses the winner. Moreover, the outcome of an open innovation contest is delineated as either intermediate goods that require further refinement and risk-taking versus a market-ready end product for the contest sponsor. The authors also investigate how knowledge sharing among contestants would be influenced by reward types such as fixed-monetary prizes vs performance-contingent awards.

The contest sponsor will lower the prize level after adopting knowledge sharing. Therefore, the total effort will decline regardless of the reward type. Moreover, the choice of reward types depends on the contest sponsor's characteristics because the performance-contingent award is suitable for a large market size but the fixed-monetary prize can more efficiently raise the quantity of contestant inputs.

Prior studies have tested the connection between contest performance and knowledge sharing in crowdsourcing-based contests; however, there is not an integrated framework to best design the operation of a contest when considering different reward types and knowledge-sharing practices.

The new teleworking conditions imposed by extreme events such as the COVID-19 pandemic blur the border between home and official working space, amplifying the conflicting demands of family and work life experienced by employees across national cultures. Drawing on conservation of resources (COR) theory, this study explores cross-national variances in the underlying mechanism of how family–work conflict (FWC) affects employees’ operational and marketing productivity in the global epidemic-induced teleworking context.

This study conducts a large-scale and cross-national survey of 710 remote employees who worked from home partially or fully during the COVID-19 outbreak across three countries: the USA, the UK and Vietnam.

The results show that FWC drives affective commitment, leading to greater employees’ operational and marketing productivity when teleworking. We also find distinct moderating effects of organizational factors (i.e. task control) and employees’ psychological factors (i.e. emotional exhaustion) on the FWC–operational productivity link across the three countries. Moreover, centralization positively moderates the effect of operational productivity on marketing productivity in the teleworking context in Vietnam, while it is not the case in the USA and the UK.

This study fills a gap in the literature by revealing cross-national differences in the underlying mechanism of the FWC effects on employees’ operational and marketing productivity in the pandemic-induced teleworking conditions. It extends extant studies in the work–family literature by introducing affective commitment as an important mediator in translating the negative consequences of FWC to operational and marketing productivity gain in crisis-driven teleworking across national cultures. We also provide insights into the distinct moderating roles of task control and emotional exhaustion in determining the FWC effect on operational productivity as well as that of centralization in driving marketing productivity. The findings have substantive implications for teleworking design and management to improve employee productivity across different national settings.