Generation Z (Gen Z) will account for a growing proportion of the global workforce in the coming years. Therefore, it is vitally important to understand this generation’s unique perspectives and preferences regarding work. This exploratory study examines the prioritisation and desirability of Gen Z work values according to respondents’ nationality. Data for this study was collected through a survey among 1188 undergraduate students enrolled in one university each in China, Germany, the Netherlands and Thailand. ANOVA test and Tukey post-hoc analysis were used to find out the difference between the groups based on nationality. Findings indicate nationality serves as a key differentiator in work value preferences. The findings challenge the concept of a global Generation Z as only two of the measured values, learning and visible results, were found to have universal appeal across the nationality groups. Despite increased levels of global interconnectedness and accompanying crossvergence of values, the results show significant statistical differences in work values based on the respondents’ nationality. Due to the scope and explorative design of the present study, it cannot be certain that the findings are exclusively from Gen Z characteristics or influenced by other, non-cultural, variables. This study suggests there is a need for study programmes at a tertiary level to embed experiential learning components and individual study pathways in their curricula to enable students to develop realistic expectations about the workplace and their place in it. In turn, these programmes will be able to develop a competitive advantage in HE landscape. The insights gained can be leveraged by internationally oriented study programmes, such as International Business (IB), to better address Gen Z needs and expectations.
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This study explores the relationship between second-hand fashion retailers’ marketing tactics and the purchasing drivers of Generation Z (GenZ) consumers, defined as individuals born between the mid-1990s and early 2010s, in the Netherlands. This study aims to identify areas of alignment and misalignment between retailer marketing tactics and GenZ motivations. The study identifies five key gaps between retailers’ perspectives and those of GenZ consumers: (1) a misalignment of focus on rational and emotional drivers, (2) a convenience – expectations gap for offline retailers, (3) a trust gap for inexperienced consumers, (4) a digital disconnect for thrift stores and (5) a market segmentation perception gap. By offering a nuanced understanding of retailers’ marketing tactics and GenZ’s drivers to purchase second-hand fashion, this study offers a unique perspective while applying the SHIFT framework to the second-hand fashion context. The findings provide actionable insights for retailers aiming to better align.
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Post-training quantization reduces the computational demand of Large Language Models (LLMs) but can weaken some of their capabilities. Since LLM abilities emerge with scale, smaller LLMs are more sensitive to quantization. In this paper, we explore how quantization affects smaller LLMs’ ability to perform retrieval-augmented generation (RAG), specifically in longer contexts. We chose personalization for evaluation because it is a challenging domain to perform using RAG as it requires long-context reasoning over multiple documents. We compare the original FP16 and the quantized INT4 performance of multiple 7B and 8B LLMs on two tasks while progressively increasing the number of retrieved documents to test how quantized models fare against longer contexts. To better understand the effect of retrieval, we evaluate three retrieval models in our experiments. Our findings reveal that if a 7B LLM performs the task well, quantization does not impair its performance and long-context reasoning capabilities. We conclude that it is possible to utilize RAG with quantized smaller LLMs.
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The aim of the current study was to evaluate the one- and two-year effectiveness of the KEIGAAF intervention, a school-based mutual adaptation intervention, on the BMI z-score (primary outcome), and energy balance-related behaviors (secondary outcomes) of children aged 7–10 years. A quasi-experimental study was conducted including eight intervention schools and three control schools located in low socioeconomic neighborhoods in the Netherlands. Baseline measurements were conducted in March and April 2017 and repeated after one and 2 years. Data were collected on children’s BMI z-score, sedentary behavior (SB), physical activity (PA) behavior, and nutrition behavior through the use of anthropometric measurements, accelerometers, and questionnaires, respectively. All data were supplemented with demographics, and weather conditions data was added to the PA data. Based on the comprehensiveness of implemented physical activities, intervention schools were divided into schools having a comprehensive PA approach and schools having a less comprehensive approach. Intervention effects on continuous outcomes were analyzed using multiple linear mixed models and on binary outcome measures using generalized estimating equations. Intervention and control schools were compared, as well as comprehensive PA schools, less comprehensive PA schools, and control schools. Effect sizes (Cohen’s d) were calculated. In total, 523 children participated. Children were on average 8.5 years old and 54% were girls. After 2 years, intervention children’s BMI z-score decreased (B = -0.05, 95% CI -0.11;0.01) significantly compared to the control group (B = 0.20, 95% CI 0.09;0.31). Additionally, the intervention prevented an age-related decline in moderate-to-vigorous PA (MVPA) (%MVPA: B = 0.95, 95% CI 0.13;1.76). Negative intervention effects were seen on sugar-sweetened beverages and water consumption at school, due to larger favorable changes in the control group compared to the intervention group. After 2 years, the comprehensive PA schools showed more favorable effects on BMI z-score, SB, and MVPA compared to the other two conditions. This study shows that the KEIGAAF intervention is effective in improving children’s MVPA during school days and BMI z-score, especially in vulnerable children. Additionally, we advocate the implementation of a comprehensive approach to promote a healthy weight status, to stimulate children’s PA levels, and to prevent children from spending excessive time on sedentary behaviors.
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BACKGROUND: Today's nursing school applicants are considered “digital natives.” This study investigated students' views of new health care technologies. METHOD: In a cross-sectional survey among first-year nursing students, 23 common nursing activities and five telehealth nursing activities were presented along with three statements: “I consider this a core task of nursing,” “I look forward to becoming trained in this task,” and “I think I will do very well in performing this task.” RESULTS: Internet-generation nursing students (n = 1,113) reported a significantly (p ⩽ .001) less positive view of telehealth activities than of common nursing activities. Median differences were 0.7 (effect size [ES], −0.54), 0.4 (ES, −0.48), and 0.3 (ES, −0.39), measured on a 7-point scale. CONCLUSION: Internet-generation nursing students do not naturally have a positive view of technology-based health care provision. The results emphasize that adequate technology and telehealth education is still needed for nursing students. [J Nurs Educ. 2017;56(12):717–724.]
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This paper discusses the potential application of procedural content generation to a game about economical crises, intended to teach a large general audience about how banks function within a market-guided economy, and the financial risks and moral dilemmas that are involved. Procedurally generating content for abstract and complex notions such as inflation, market crashes, and market flux is different from generating spatial maps or physical assets in a game, and poses several design challenges. Instead of generating these kinds of phenomena and other macro-economic effects directly, the designers aim to let them emerge from automatically generated game mechanics. The game mechanics we propose include generic business models that can be parameterized to model the behavior of companies in the game, while the player controls the actions of a bank. What makes generating these game mechanics particularly challenging is the interaction between phenomena at different levels of abstraction. Therefore, relevant economic concepts are discussed in terms of design challenges, and how they could be modeled as emergent properties using generative methods.
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A transition of today’s energy system towards renewableresources, requires solutions to match renewable energy generationwith demand over time. These solutions include smartgrids, demand-side management and energy storage. Energycan be stored during moments of overproduction of renewableenergy and used from the storage during moments ofinsufficient production. Allocation in real time of generatedenergy towards controlled appliances or storage chargers, isdone by a smart control system which makes decisions basedon predictions (of upcoming generation and demand) andinformation of the actual condition of storages.
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Young people and generation Z bring new values and appreciations into the business world. Entrepreneurship is more appreciated, and plenty of countries try to encourage young people for entrepreneurial paths. Here the interest is to see what kind of entrepreneurial qualities are needed with young business students from different cultures. Entrepreneurial qualities needed were measured with Courage, Willingness to take Risks, Motivation, Self-Esteem, Optimism, Resilience, Persistence, Decisiveness, Innovativeness, Mentor to Help Me, Team to Build Up the Business, More Knowledge of Entrepreneurship, Good Business Idea. Data was analyzed with SPSS-program and results concerning entrepreneurship education are discussed at the end of the paper.
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Lessons learned on the progress towards 4th generation district heating (4DHC) are presented from 6 pilot implementation projects in the UK, Ireland, Belgium, France, and the Netherlands (HeatNet project). The pilots have implemented the infrastructure for district heating from various (waste) heat and renewable sources to reduce CO2 emissions. With the development of long term road maps, progress is made towards the role out of 4DHC in the regions. The pilots have a different level of experience with district heating and transnational learning is specifically addressed. Purpose of the evaluation of the pilots is to give local authorities insight into barriers and solutions and the way they are closely linked to stakeholders in their geographical, politicaland cultural context in NWE. To do this, the financial, regulatory and organisational barriers the pilots face and possible solutions that were shared between the pilots are analysed in the context of system innovation. Differences in national and regional contexts have been analysed to be able to generalise solutions to a level they can be used in a different context. We will confront the pilot’s development with best and worst practice from literature and score Key Success Factors.
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This systematic review describes and discusses three commercially available integrated systems for forensic DNA analysis, i.e., ParaDNA, RapidHIT, and ANDE. A variety of aspects, such as performance, time-to-result, ease-of-use, portability, and costs (per analysis run) of these three (modified) rapid DNA analysis systems, are considered. Despite their advantages and developmental progress, major steps still have to be made before rapid systems can be broadly applied at crime scenes for full DNA profiling. Aspects in particular that need (further) improvement are portability, performance, the possibility to analyze a (wider) variety of (complex) forensic samples, and (cartridge) costs. Moreover, steps forward regarding ease-of-use and time-to-result will benefit the broader use of commercial rapid DNA systems. In fact, it would be a profit if rapid DNA systems could be used for full DNA profile generation as well as indicative analyses that can give direction to forensic investigators which will speed up investigations.
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