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Scientific Papers of Silesian University of Technology Organization and Management Series最新文献

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Interactivity, proactivity, community – the pillars of onboarding. Test tool proposal 互动性、主动性、社区——入职的支柱。测试工具建议
Pub Date : 1900-01-01 DOI: 10.29119/1641-3466.2022.164.38
Krzysztof Wąsek, P. Zbierowski
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引用次数: 0
Turnover of employees with employability market orientation versus affective commitment in the context of superior support, role and intra-organisational employability 具有就业能力市场导向的员工离职与上级支持、角色和组织内就业能力背景下的情感承诺
Pub Date : 1900-01-01 DOI: 10.29119/1641-3466.2022.164.28
Anna Pawłowska
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引用次数: 0
The dynamics of new delivery forms development of grocery products in Poland – Frisco case study 动态的新交付形式的发展杂货产品在波兰-弗里斯科案例研究
Pub Date : 1900-01-01 DOI: 10.29119/1641-3466.2022.156.30
Robert Lemanowski, J. Lemańczyk
Purpose: The coronavirus pandemic has a crucial influence on every human being in many areas of life, like education, professional work and state of health. Also, it impacts food consumption and dietary behavior of people. The purpose of the paper is to diagnose the dynamics of new e-grocery delivery formats development caused by Covid-19 in Poland. Design/methodology/approach : This study follows a mixed method approach, which is based on qualitative interviews, secondary statistics and case study of Frisco – the most successful Polish enterprise on e-grocery sector. Multi-level perspective was used to give a context for changes observed on Polish e-grocery market. Findings: The pandemic influenced the dynamics of the development of the e-grocery market in Poland, which follows the way how American e-grocery market performs. The landscape before Covid-19 pandemic was dominated by big players like Amazon and Walmart on the USA market, however big players like Piotr I Paweł and Tesco disappeared form the e-grocery market in Poland. During pandemic, in both countries a rapid growth of local suppliers was observed. In the USA, big players have been consolidating, however in Poland a previous small Social implications: Many customers have discovered new shopping opportunities which has 1 led to a permanent change in purchasing behavior. In this article, the authors compare the 2 change in landscape of Polish and American e-grocery market during Covid-19 pandemic. 3 Originality/value: The paper helps to understand the dynamics of new e-grocery delivery 4 formats development caused by Covid-19 in Poland with multilevel perspective. Moreover, 5 the change in e-grocery market landscape was described. It is needed to deepen the research by new format factors analysis and further observations, what will be the future of these new formats. Category of the paper: In this article, the authors, using qualitative research (mini groups), are looking for answers to the question of how the pandemic changed the landscape of e-grocery, with particular emphasis on new delivery formats’ development.
目的:冠状病毒大流行对每个人的教育、专业工作和健康状况等许多生活领域都产生了至关重要的影响。此外,它还会影响人们的食物消费和饮食行为。本文的目的是诊断由Covid-19在波兰引起的新电子杂货配送模式发展的动态。设计/方法/方法:本研究采用混合方法,该方法基于定性访谈,二次统计和对波兰最成功的电子杂货企业Frisco的案例研究。多层次的观点是用来给波兰电子杂货市场观察到的变化的背景。研究发现:疫情影响了波兰电子杂货市场的发展动态,这与美国电子杂货市场的发展方式相似。在2019冠状病毒病大流行之前,美国市场上的市场格局由亚马逊和沃尔玛等大公司主导,但波兰的电子杂货市场上却没有像Piotr I pawe波兰和Tesco这样的大公司。在大流行期间,观察到这两个国家的当地供应商迅速增长。在美国,大公司一直在整合,然而在波兰,先前的小社会影响:许多顾客发现了新的购物机会,这导致了购买行为的永久改变。在这篇文章中,作者比较了波兰和美国电子杂货市场在Covid-19大流行期间的两种变化。原创性/价值:本文从多层次角度帮助理解新冠肺炎疫情在波兰引发的新电子杂货配送业态发展的动态。此外,还描述了电子杂货市场格局的变化。需要通过对新业态因素的分析和进一步的观察来深化研究,这些新业态的未来会是什么样子。论文类别:在本文中,作者利用定性研究(小型群体)寻找疫情如何改变电子杂货格局这一问题的答案,特别强调了新的交付形式的发展。
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引用次数: 0
Contemporary problems occurring in multicultural teams, exemplified by the opinions of employees from the Upper Silesian region 多元文化团队中出现的当代问题,例如来自上西里西亚地区的员工的意见
Pub Date : 1900-01-01 DOI: 10.29119/1641-3466.2019.139.17
A. Kochmańska
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引用次数: 0
Identification of areas for optimising marketing communications via AI systems 识别通过人工智能系统优化营销传播的领域
Maria Bajak, Paweł Majerczyk
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引用次数: 0
Improving the communication of stakeholders in logistics processes - a case study 改善物流过程中利益相关者的沟通-一个案例研究
Pub Date : 1900-01-01 DOI: 10.29119/1641-3466.2020.147.25
M. Zasadzień
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引用次数: 0
Organizational support as a determinant of the well-being of managers 组织支持是管理者幸福感的决定因素
Pub Date : 1900-01-01 DOI: 10.29119/1641-3466.2023.172.35
I. Stańczyk, E. Beck-Krala
The aim of the
的目的是
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引用次数: 0
Covid pandemic as a disruptive factor enhancing ICT use in social sciences’ teaching practices 2019冠状病毒病大流行是促进社会科学教学实践中ICT使用的破坏性因素
Pub Date : 1900-01-01 DOI: 10.29119/1641-3466.2022.160.25
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引用次数: 0
Functioning of predictive analytics in business 预测分析在商业中的作用
Pub Date : 1900-01-01 DOI: 10.29119/1641-3466.2023.175.40
R. Wolniak, Wes Grebski
Purpose: The goal of the paper is to analyze the main features, benefits and problems with the 7 predictive analytics usage. 8 Design/methodology/approach: Critical literature analysis. Analysis of international literature 9 from main databases and polish literature and legal acts connecting with researched topic. 10 Findings: Predictive analytics is a powerful tool that leverages historical data and statistical 11 models to forecast future outcomes and behaviors. It enables organizations to gain valuable 12 insights, make informed decisions, and drive business growth. By analyzing patterns, 13 correlations, and trends in data, predictive analytics can uncover hidden relationships and 14 provide a deeper understanding of business processes, customer behavior, market trends, 15 and other important factors. The benefits of predictive analytics are numerous. It enables 16 organizations to forecast and predict future events, leading to proactive decision-making and 17 the ability to anticipate trends and outcomes. It enhances decision-making processes, improves 18 resource allocation, and provides enhanced customer insights. Predictive analytics also helps in 19 risk mitigation, fraud detection, optimization of operations and pricing, product development, 20 and marketing effectiveness. By leveraging these benefits, organizations can gain a competitive 21 advantage and achieve sustainable success. 22 Originality/value: Detailed analysis of all subjects related to the problems connected with the 23 predictive analytics. 24
目的:本文的目的是分析7种预测分析的主要特点、好处和问题。设计/方法/方法:批判性文献分析。主要数据库中的国际文献分析和波兰文献及与研究课题相关的法律行为分析。预测分析是一种强大的工具,它利用历史数据和统计模型来预测未来的结果和行为。它使组织能够获得有价值的见解,做出明智的决策,并推动业务增长。通过分析数据中的模式、相关性和趋势,预测分析可以揭示隐藏的关系,并提供对业务流程、客户行为、市场趋势和其他重要因素的更深入理解。预测分析的好处数不胜数。它使组织能够预测和预测未来事件,从而产生前瞻性决策,并具有预测趋势和结果的能力。它增强了决策过程,改进了资源分配,并提供了增强的客户洞察力。预测分析还有助于降低风险、检测欺诈、优化运营和定价、产品开发、提高营销效率。通过利用这些好处,组织可以获得竞争优势并获得持续的成功。独创性/价值:对与预测分析相关的所有问题的详细分析。24
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引用次数: 1
TRIAL OF DISTRIBUTED LEADERSHIP IN INSTITUTIONAL MANAGEMENT 在事业单位管理中试行分布式领导
P. Akpamah, Andrea Matko
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引用次数: 1
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