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36th Bled eConference – Digital Economy and Society: The Balancing Act for Digital Innovation in Times of Instability: June 25 – 28, 2023, Bled, Slovenia, Conference Proceedings最新文献

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What Prevents Consumers from Making Responsible Online Purchases? 是什么阻碍了消费者进行负责任的网购?
Tiina Kemppainen, Markus Makkonen, Lauri Frank
The objective of this qualitative study is to examine and describe what prevents consumers from making responsible online purchases. The data were collected during February and March 2023 with an online survey. The data comprises the respondents' (N=245) free-form written responses, in which they articulated and explained the factors that prevent their responsible online purchases. The findings indicate that external and internal factors can prevent consumers' responsible online purchases. While external factors – online stores – are mainly blamed for promoting irresponsible buying behavior, internal factors – consumers' individual characteristics – are also recognized to have an important role in irresponsible purchasing behavior. The external factors identified in this study include 1) pricing, 2) information, and 3) availability. The internal factors include 1) self-indulgence and 2) trust
本定性研究的目的是研究和描述是什么阻碍了消费者进行负责任的网购。数据是在 2023 年 2 月至 3 月期间通过在线调查收集的。数据由受访者(245 人)的自由书面回答组成,受访者在回答中阐述并解释了阻碍他们进行负责任网购的因素。调查结果表明,外部和内部因素都会阻碍消费者进行负责任的网购。外部因素--网店--主要被归咎于助长不负责任的购买行为,而内部因素--消费者的个人特征--也被认为在不负责任的购买行为中起着重要作用。本研究确定的外部因素包括:1)价格;2)信息;3)可用性。内部因素包括:1)自我放纵和 2)信任。
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引用次数: 0
Ethical Considerations of Augmented Reality in High-Tech Manufacturing 高科技制造业中增强现实技术的伦理考量
Sander van der Hoek, Marlies van Steenbergen, Pascal Ravesteijn
The use of Augmented Reality (AR) in industry is growing rapidly, driven by benefits such as efficiency gains and ability to overcome physical boundaries. Existing studies stress the need to take stakeholder values into account in the design process. In this study the impact of AR on stakeholders' values is investigated by conducting focus groups and interviews, using value sensitive design as a framework. Significant impacts were found on the values of safety, accuracy, privacy, helpfulness and autonomy. Twenty practical design choices to mitigate potential negative impact emerged from the study.
增强现实技术(AR)在工业领域的应用正在快速增长,其优势包括提高效率和突破物理界限的能力。现有研究强调,在设计过程中需要考虑利益相关者的价值观。本研究以价值敏感设计为框架,通过焦点小组和访谈调查了 AR 对利益相关者价值观的影响。研究发现,AR 对安全性、准确性、隐私性、有用性和自主性等价值观产生了重大影响。研究还提出了二十种实用的设计方案,以减轻潜在的负面影响。
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引用次数: 0
Decision Analytics - A Position Paper 决策分析--立场文件
Christer Carlsson
The context we address is the ‘digital or new economy’ for which we propose that Decision Analytics will be one of the key drivers. The reasons are that we need to both meet the challenges from big data/fast data and to work out new possibilities to make experience and expert knowledge accessible and usable for local, ad hoc decision makers and for automated, intelligent systems. Digitalisation brings increasing competition, slimmer margins for productivity and profitability and more pronounced requirements for effective planning, problem solving and decision making. This requires a transfer of (sometimes tacit) knowledge from experts and experi-enced people to novice system operators—and to automated, intelligent systems—a transfer we call knowledge mobilisation. We will work out reasons for why Decision Analytics will be a key part of knowledge mobilisation and an essential contribution to the development of instruments we need for the progress of digitalisation.
我们所涉及的背景是 "数字经济或新经济",我们建议决策分析将成为其主要驱动力之一。原因在于,我们既要应对大数据/快速数据带来的挑战,又要探索新的可能性,使本地的临时决策者和自动化、智能化系统能够获取并利用经验和专家知识。数字化带来了日益激烈的竞争,生产率和利润率的利润空间越来越小,对有效规划、解决问题和决策的要求也越来越高。这就需要将专家和经验丰富的人员的知识(有时是隐性知识)转移到新手系统操作员和自动化智能系统中,我们称之为知识动员。我们将找出原因,说明为什么决策分析将成为知识动员的一个关键部分,并为开发数字化进程所需的工具做出重要贡献。
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引用次数: 0
The Role of Anticipated Guilt and its Neutralisation in Explaining Responsible Online Shopping 预期内疚感及其中和在解释负责任的网上购物中的作用
Markus Makkonen
Although responsible consumption has been the target of growing interest in academic research, the antecedents of responsible online shopping remain poorly understood. In this study, we address this gap in prior research by focusing on the role of anticipated guilt in explaining responsible online shopping. By using data from 479 Finnish consumers, we aim to answer two research questions: (1) how strong an antecedent of responsible online shopping intention is anticipated guilt in relation to other potential antecedents and (2) how efficiently can consumers regulate their resulting feelings of guilt by using different kinds of neutralisation techniques? We find anticipated guilt to be a strong antecedent of responsible online shopping intention and the denial of responsibility, the denial of injury, and the appeal to higher loyalties to be the most efficient neutralisation techniques for consumers to regulate their feelings of guilt that result from not engaging in responsible online shopping.
尽管负责任的消费一直是学术研究日益关注的目标,但人们对负责任网购的前因仍然知之甚少。在本研究中,我们将重点研究预期内疚感在解释负责任网购方面的作用,从而弥补以往研究的不足。通过使用 479 名芬兰消费者的数据,我们旨在回答两个研究问题:(1) 相对于其他潜在的前因,预期内疚感对负责任网购意向的前因有多强;(2) 通过使用不同类型的中和技巧,消费者能多有效地调节他们由此产生的内疚感?我们发现,预期内疚感是负责任网购意向的一个强有力的前因,而否认责任、否认伤害和呼吁更高的忠诚度是消费者调节因未参与负责任网购而产生的内疚感的最有效的中和技巧。
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引用次数: 0
The Anatomy of a Personal Service: The Eight Dimensions of 'Personal' 剖析个性化服务:个人 "的八个维度
Jeroen van Grondelle, Marlies van Steenbergen, A. Smits, Tijs Timmerman, Koen van Turnhout, Harald Pol
Digitalization enables public organizations to personalize their services, tuning them to the specific situation, abilities, and preferences of the citizens. At the same time, digital services can be experienced as being less personal than face-to-face contact by citizens. The large existing volume of academic literature on personalization mainly represents the service provider perspective. In contrast, in this paper we investigate what makes citizens experience a service as personal. The result are eight dimensions that capture the full range of individual experiences and expectations that citizens expressed in focus groups. These dimensions can serve as a framework for public sector organizations to explore the expectations of citizens of their own services and identify the areas in which they can improve the personal experiences they offer.
数字化使公共组织能够根据公民的具体情况、能力和偏好提供个性化服务。与此同时,与面对面的接触相比,数字化服务可能会让公民感到不够个性化。现有的大量关于个性化的学术文献主要是从服务提供商的角度出发。与此相反,我们在本文中研究了是什么让公民体验到服务的个性化。研究结果是八个维度,它们捕捉到了市民在焦点小组中表达的全部个人体验和期望。这些维度可以作为一个框架,供公共部门组织探索公民对其自身服务的期望,并确定他们可以在哪些方面改善所提供的个人体验。
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引用次数: 0
Enhancing the Understanding of E-commerce Reviews through Aspect Extraction Techniques: A BERT-Based Approach 通过特征提取技术加强对电子商务评论的理解:基于 BERT 的方法
L. Davoodi
The growth of online customer reviews on e-commerce platforms has led to an overwhelming volume and variety of data, making manual analysis impractical for both consumers and managers. Consequently, machine learning techniques, such as Aspect-Based Sentiment Analysis (ABSA), have gained prominence for their ability to determine sentiment at the aspect level. This study aims to fine-tune natural language processing models for aspect extraction in e-commerce customer reviews. We manually annotated 2781 online user review sentences in English and employed different extensions of the BERT model to identify implicit and explicit aspects. This approach diverges from prior studies, as our dataset comprises real user reviews from five prominent e-commerce platforms. The findings demonstrate the models’ effectiveness in extracting aspects from diverse e-commerce user reviews, yielding a deeper understanding of user-generated content and customer satisfaction trends, and providing valuable insights for managerial decision-making. This study contributes to the ABSA literature and offers practical implications for e-commerce platforms aiming to improve their products and services based on customer feedback.
随着电子商务平台上在线客户评论的增加,数据量和种类也随之激增,这使得人工分析对于消费者和管理者来说都变得不切实际。因此,基于方面的情感分析(ABSA)等机器学习技术因其在方面层面确定情感的能力而备受瞩目。本研究旨在微调自然语言处理模型,以提取电子商务客户评论中的方面。我们人工标注了 2781 个在线用户英语评论句子,并采用 BERT 模型的不同扩展来识别隐性和显性方面。这种方法不同于以往的研究,因为我们的数据集包括来自五个著名电子商务平台的真实用户评论。研究结果表明,这些模型能有效地从不同的电子商务用户评论中提取内容,加深对用户生成内容和客户满意度趋势的理解,并为管理决策提供有价值的见解。本研究为 ABSA 文献做出了贡献,并为旨在根据客户反馈改进其产品和服务的电子商务平台提供了实际意义。
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引用次数: 0
Tools and Technologies Utilized in Data-Related Positions: An Empirical Study of Job Advertisements 数据相关职位使用的工具和技术:招聘广告实证研究
Nurlan Musazade
Role, value and amount of data and related tools, technologies, companies and professions in society is rising. Since the required skills for data-related professions are predicted to experience changes, and labor market mismatches create challenges for stakeholders, this research focuses on changes in the required tools and technologies for data-related positions. The presented research defines trends and changes in frequencies of the tools utilized in the data-related professions by applying quantitative content analysis on collected data from job advertisements of Finland, Denmark and Poland. The research findings show that tools used in data-related professions experience significant changes over time. For example, AI and cloud computing-related skills, and SQL started to be required more, whereas Excel, SPSS and similar tools are less expected from the candidates. Furthermore, while R programming language utilization rises in analytics related positions, Python is more common in positions related to data science.
数据及相关工具、技术、公司和职业在社会中的作用、价值和数量正在不断增加。预计数据相关职业所需的技能将发生变化,劳动力市场的不匹配将给利益相关者带来挑战,因此本研究重点关注数据相关职位所需的工具和技术的变化。本研究通过对从芬兰、丹麦和波兰的招聘广告中收集的数据进行定量内容分析,确定了数据相关专业所使用的工具频率的趋势和变化。研究结果表明,数据相关专业使用的工具随着时间的推移发生了显著变化。例如,对人工智能和云计算相关技能以及 SQL 的需求开始增加,而对 Excel、SPSS 和类似工具的要求则降低了。此外,虽然 R 编程语言在分析相关职位中的使用率有所上升,但 Python 在数据科学相关职位中更为常见。
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引用次数: 0
Empirical Verification of Different Rank Dynamic Roles in Informal Hierarchies 非正式等级体系中不同等级动态角色的经验验证
Peter Vatter, Andreas Weisbeck
Organizations today face a more volatile, uncertain, complex and ambiguous market environment, referred to by the term »VUCA world«. To this, they commonly respond with management approaches that comprise flat hierarchies and a decentrali¬za¬tion of decision-making structures. But while some companies are very successful with such approaches, others struggle significantly. One reason is that conflicts about ranks in the informal hierarchy arise as the formal hierarchy diminishes. Hence, understanding group dynamics and the different strategies of team members in the social competition becomes increasingly important. In previous works, a theoretical model containing five different roles was presented. These roles result from specific psychological capabilities, values, and needs of each individual and include specific contributions to the social functioning of the group. In this paper, participants of an online survey have been asked about their contribution to team success. A subsequent factor analysis of n = 421 datasets proofed the existence of five different roles and, thus, the validity of the model.
当今的组织面临着更加动荡、不确定、复杂和模糊的市场环境,即 "VUCA 世界"。为此,企业通常采用扁平化等级制度和分散决策结构的管理方法。但是,有些公司在采用这种方法时非常成功,而有些公司则举步维艰。其中一个原因是,随着正式等级制度的减少,非正式等级制度中的等级冲突也随之产生。因此,了解群体动态和团队成员在社会竞争中的不同策略变得越来越重要。在以前的著作中,提出了一个包含五种不同角色的理论模型。这些角色源于每个人的特定心理能力、价值观和需求,包括对群体社会功能的特定贡献。在本文中,一项在线调查的参与者被问及他们对团队成功的贡献。随后对 n = 421 个数据集进行的因子分析证明了五种不同角色的存在,从而证明了模型的有效性。
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引用次数: 0
Fiction or Reality – Which Game Story Promotes Learning Outcome More? 虚构还是现实--哪个游戏故事更能促进学习效果?
Linda Grogorick, Moritz Rohde, Bijan Khosrawi-Rad, Susanne Robra-Bissantz
Digital Game-based Learning (DGBL) has achieved several positive results in recent years, e.g., increased fun, motivation, or learning outcome. However, many DGBL applications fail, which makes an isolated consideration of individual game elements and their influence on learning necessary to better design future DGBL applications. One widely used game element is the game story. As there is little research on how a game story should be designed to promote learning, this paper conducts an experiment comparing a fictional game story with a realistic one. The results show that both game stories lead to a significant objective knowledge gain. In terms of learning outcome, both game stories achieved similar results.
近年来,基于数字游戏的学习(Digital Game-based Learning,DGBL)已经取得了一些积极的成果,例如,提高了学习的趣味性、积极性或学习效果。然而,许多 DGBL 应用都以失败告终,因此有必要单独考虑个别游戏元素及其对学习的影响,以便更好地设计未来的 DGBL 应用。一个被广泛使用的游戏元素是游戏故事。由于关于如何设计游戏故事以促进学习的研究很少,本文进行了一项实验,比较了虚构的游戏故事和现实的游戏故事。结果表明,这两个游戏故事都能使学生获得大量客观知识。在学习效果方面,两个游戏故事取得了相似的结果。
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引用次数: 0
Quality Dimensions for Digital Twin Maturity in the Context of Dutch Public Spatial Planning 荷兰公共空间规划背景下数字孪生成熟度的质量维度
Koen Smit, Rob Peters, Chaim de Gelder, J. Versendaal
Digital Twin (DT) technology is being increasingly adopted by local and regional governmental organizations in the Netherlands to support spatial planning decision-making, balancing contradicting policy ambitions. These DT solutions are becoming more complex as more perspectives, based on sophisticated calculations, are added to one integrated view of the problem space. To be able to validate the quality of these DT solutions, quality dimensions are to be established. This study focuses on identifying quality dimensions for DT solutions, including legal and policy perspectives, and safeguarding public value; thereby transcending the technical focus that most contributions on quality dimensions for DTs have in the current body of knowledge. Based on empirical data collection and analysis, 15 quality dimensions were identified. Future research should focus on further operationalizing these dimensions, allowing for measuring DT solution quality on a maturity scale.
荷兰的地方和地区政府组织越来越多地采用数字孪生(DT)技术来支持空间规划决策,平衡相互矛盾的政策目标。随着基于精密计算的更多视角被添加到问题空间的综合视图中,这些数字孪生解决方案变得越来越复杂。为了验证这些 DT 解决方案的质量,需要确定质量维度。本研究的重点是确定 DT 解决方案的质量维度,包括法律和政策视角,以及维护公共价值;从而超越当前知识体系中大多数关于 DT 质量维度的贡献所关注的技术重点。根据实证数据收集和分析,确定了 15 个质量维度。未来的研究应侧重于进一步操作这些维度,以便在成熟度尺度上衡量 DT 解决方案的质量。
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引用次数: 0
期刊
36th Bled eConference – Digital Economy and Society: The Balancing Act for Digital Innovation in Times of Instability: June 25 – 28, 2023, Bled, Slovenia, Conference Proceedings
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