Humans turn to other humans for decision making. They don’t know how the algorithm operates but they understand how a human mind operates. Ergo, they would be more likely to follow a human’s recommendation.

The FIFA world cup is one of the most popular and widely viewed sporting event, where millions of viewers across the globe tune in to support their country every four years for the chance to win the ultimate football tournament. According to FIFA, the FIFA World Cup Qatar 2022 recorded over 5 billion cumulative views, with the final match estimated to have been watched by more than 1.5 billion viewers live on television. In South Korea, a total of 11.14 million viewers watched the opening match against Uruguay, which was estimated to be a 97% increase in Korean viewership compared to the previous World Cup.

We study retailer app use and shopping behavior by investigating whether and how app adopters’ preferred store registration (PSR), a voluntary enrollment of store loyalty program, can lead to changes in purchase behaviors among the adopters in offline stores. A panel dataset from a large bakery franchise chain was studied using difference-in-differences with propensity score matching for causal inference. The results show that customers who participated in PSR increase their spending, compared to customers who did not. In addition, the results confirm that the PSR-spending relationship is moderated by customer and store characteristics; customers who visited infrequently and spent less prior to PSR participation increase their purchases, and they spend more at stores with better service quality.

Group identities, also known as social identities, have been established as measurable, stable, and behaviorally relevant constructs in marketing, psychology, and political science. According to research in political psychology, shared in-group identities can increase a voter’s support for an in-group political candidate.

This study explored dominant topics about the metaverse discussed in Twitter and the sentiments in each topic in the case of Decentraland using topic modeling and sentiment analysis. The appraisal theory of emotion and motivation theory were used to explain why positive or negative sentiments were expressed toward specific topics. The majority of topics were related to economic benefits such as coins, NFTs, tokens, estate, land, and spaces or socializing with others at specific events. Many of them included predominantly positive sentiments because consumers appraised them as motive consistent. This serves as an important implication for marketers and developers in the metaverse that they need to focus more on these features so that consumers can interact with the motive-consistent features and thus have positive emotions.

To successfully expand their business activities in overseas markets, small- and medium-sized enterprises (SMEs) must first acquire a thorough knowledge and understanding of prevailing environmental and market conditions. This study examines the crucial role that a learning orientation can play in the generation of relevant foreign market knowledge. It also investigates the impact of foreign market knowledge on strengthening internationalizing SMEs’ operational adjustment agility and market capitalizing agility, which in turn enhance firms’ international venture performance. Our empirical effort is based on data collected from 209 Nigerian industrial SMEs which internationalize their efforts. To test our research model and hypotheses we collected data by means of a survey conducted among Nigerian small- and medium-sized firms (i.e., employing 250 or less people) which internationalize their efforts and launch their products in B2B markets. The positive role of learning orientation, foreign market knowledge and organizational agility is confirmed by our results on driving international venture performance.

Research in entrepreneurial marketing (EM) has put considerable effort into identifying various factors associated with entrepreneurial success, including skills and competences of prospective entrepreneurs. At the same time, little consensus exists regarding the relative importance of particular marketing skills. Moreover, the literature to date does not outline any essential marketing-related competencies needed for nascent entrepreneurs. Our study looks to identify specific marketing competencies relevant to entrepreneurial context. A three-stage mixed-methodology approach to data collection is deployed. Qualitative documentary analysis and exploratory interviews provide preliminary findings and guide the design of a subsequent quantitative survey of UK entrepreneurs, resulting in insights into the most beneficial marketing competencies for entrepreneurship. Further, these insights are used to equip educators with improved practice of developing marketing practice for future entrepreneurs. This research is expected to advance the understanding of nascent entrepreneurship research, practice and pedagogy within EM field.

The decision between standardization and localization (or adaptation) of advertising strategy is crucial for the performance of product/service in foreign markets. Since the online advertising media have diluted the physical boundaries between countries, decision making related to international advertising has focused more on message strategy rather than media strategy. In this paper, the authors utilize movie poster images as a typical example of online advertising of service business. Employing image deep learning approach, the researchers calculate the level of localization and its effect on the financial performance in a foreign market. This research will expand the academic discussion in international advertising strategy and movie marketing.

Governments around the world are enacting laws mandating explainable traceability when using AI(Artificial Intelligence) to solve real-world problems. HAI(Human-Centric Artificial Intelligence) is an approach that induces human decision-making through Human-AI collaboration. This research presents a case study that implements the Human-AI collaboration to achieve explainable traceability in governmental data analysis. The Human-AI collaboration explored in this study performs AI inferences for generating labels, followed by AI interpretation to make results more explainable and traceable. The study utilized an example dataset from the Ministry of Oceans and Fisheries to reproduce the Human-AI collaboration process used in actual policy-making, in which the Ministry of Science and ICT utilized R&D PIE(R&D Platform for Investment and Evaluation) to build a government investment portfolio.

본 연구는 팀발명의 정도에 있어서 상당한 차이를 보이면서 전자산업, 자동차산업에서 가장 많은 특허를 출원해온 삼성전자와 현대자동차 발명자들을 대상으로 네트워크 특성들이 발명 자들 간 혁신성과 차이를 가져오는지를 분석하였다. 네트워크 내에서 더 많은 발명자들과 연결 되어 있을수록 더 높은 혁신성과를 보였다. 기존 문헌들이 산업내 및 산업간, 그룹내 및 그룹외 파급효과를 조직 수준에서 다루었는데, 본 연구는 이러한 논의를 발명자 수준으로 확장하였다. 본 연구는 네트워크로부터의 파급효과풀을 새롭게 추가하여 네트워크 내외, 그룹 내외, 산업 내외의 3가지 차원에서 파급효과풀들을 구성한 후 각 파급효과풀들이 미치는 효과를 분석하였 으며 서로 간에 비교하였다. 발명자 수준에서 다양한 파급효과풀들이 혁신에 미치는 효과가 확인되었다. 본 연구의 결과는 발명자의 네트워크 특성들과 파급효과풀들이 발명자의 혁신 성과에 대한 예측에 활용될 수 있음을 시사한다.

In Laos, smallholder cattle farmers rely primarily on natural grassland grazing, which needs to be improved for fattening. Notably, most cattle prices are determined by the middleman, by looking, so buyers tend to undervalue their price, which makes cattle farming a minimal investment. Urea-Molasses Block (UMB) supplements can effectively enhance a nutrient diet in low-quality roughage systems. This study aimed to determine factors affecting UMB and farmers’ Willing To Pay (WTP) for UMB as a new input material with data from six villages, two districts of the Vientiane Capital, in January and July 2019. The results indicate that farmers with relatively high education, consent to the positive effect of UMB, and previous experience purchasing feed during the dry season are more likely to pay a high positive WTP. The average WTP for UMB ranges from USD 5.7 to 6.5 per month for one cattle, which is approximately 10.2~11.6% of current annual costs for average smallholder cattle farmers. These findings will be significant in improving productivity at the initial development stage of farms in Laos, especially for smallholder farmers.

This paper explores the effect of the digital economy on human migration in Guangdong Province. This paper measures the effect of digital economy development on human migration in 21 prefecture-level cities in Guangdong Province, China, from 2011 to 2019 using a fixed-effects model. The results of this study show that there is a significant positive effect of digital economy on net migration rate, and there is a significant negative effect on emigration rates. There is also a significant pull effect of economic development level and health-care level on migration. This finding holds after introducing instrumental variables estimation. This study provides explanatory mechanisms and empirical evidence for the development of digital economy and human migration, which helps to understand the mechanism of action between the development of digital economy and human migration. On this basis, this study puts forward policy recommendations, which provide some reference basis for the formulation of policies on digital economy and talent introduction in Guangdong Province.

Purpose: This study aims to improve nursing students’ competency through evidence-based nursing simulation education. Simulations included blood transfusion care for cancer patients, pneumothorax post-op care, and blood pressure control for hypertension care. Moreover, the study investigated the effects of simulations on anxiety, self-confidence, and student satisfaction with the learning experience. Method: Participants completed a survey on student satisfaction, self-confidence, and anxiety. A prospective, one-group, pre- and post-test design of 135 fourth-grade nursing students was used. A simulation scenario was developed according to the design. It consisted of pre-briefing, practice, serial tests, and debriefing. A simulation of three scenarios comprised blood transfusion care for cancer patients, pneumothorax post-op care, and blood pressure control for hypertension care. Twenty hours of evidence-based nursing simulation practicum consisting of three scenarios dealing with major adult diseases was conducted. Result: Students showed significant improvements over time in self-confidence (t=4.67, p<.001), student satisfaction (t=3.94, p<.001), and anxiety (t=-4.63, p<.001) after the evidence-based nursing simulation. Conclusion: Simulation of evidence-based education may be a useful and effective learning strategy. Nursing educators can design evidence-based simulation programs to improve educational effectiveness.

Cloud-aerosol interactions are one of the paramount but least understood forcing factors in climate systems. Generally, an increase in the concentration of aerosols increases the concentration of cloud droplet numbers, implying that clouds tend to persist for longer than usual, suppressing precipitation in the warm boundary layer. The cloud lifetime effect has been the center of discussion in the scientific community, partly because of the lack of cloud life cycle observations and partly because of cloud problems. In this study, the precipitation susceptibility (So) matrix was employed to estimate the aerosols' effect on precipitation, while the non-aerosol effect is minimized. The So was calculated for the typical coupled, well-mixed maritime stratocumulus decks and giant cloud condensation nucleus (GCCN) seeded clouds. The GCCN— artificially introduced to the marine stratocumulus cloud decks—is shown to initiate precipitation and reduces So to approximately zero, demonstrating the cloud lifetime hypothesis. The results suggest that the response of precipitation to changes in GCCN must be considered for accurate prediction of aerosol-cloud-precipitation interaction by model studies