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Chatbot interactions: How consumption values and disruptive situations influence customers' willingness to interact 聊天机器人互动:消费价值观和干扰情况如何影响客户的互动意愿
IF 6.5 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2024-01-30 DOI: 10.1111/isj.12507
Marco Meier, Christian Maier, Jason B. Thatcher, Tim Weitzel

Chatbots offer customers access to personalised services and reduce costs for organisations. While some customers initially resisted interacting with chatbots, the COVID-19 outbreak caused them to reconsider. Motivated by this observation, we explore how disruptive situations, such as the COVID-19 outbreak, stimulate customers' willingness to interact with chatbots. Drawing on the theory of consumption values, we employed interviews to identify emotional, epistemic, functional, and social values that potentially shape willingness to interact with chatbots. Findings point to six values and suggest that disruptive situations stimulate how the values influence WTI with chatbots. Following theoretical insights that values collectively contribute to behaviour, we set up a scenario-based study and employed a fuzzy set qualitative comparative analysis. We show that customers who experience all values are willing to interact with chatbots, and those who experience none are not, irrespective of disruptive situations. We show that disruptive situations stimulate the willingness to interact with chatbots among customers with configurations of values that would otherwise not have been sufficient. We complement the picture of relevant values for technology interaction by highlighting the epistemic value of curiosity as an important driver of willingness to interact with chatbots. In doing so, we offer a configurational perspective that explains how disruptive situations stimulate technology interaction.

聊天机器人为客户提供个性化服务,并为企业降低成本。虽然一些客户最初抵制与聊天机器人互动,但 COVID-19 的爆发让他们重新考虑。受此启发,我们探讨了 COVID-19 爆发等破坏性情况如何激发客户与聊天机器人互动的意愿。借鉴消费价值观理论,我们通过访谈确定了可能影响与聊天机器人互动意愿的情感、认识、功能和社会价值观。研究结果指出了六种价值观,并表明破坏性情况会刺激这些价值观如何影响与聊天机器人的 WTI。根据价值观共同促进行为的理论见解,我们建立了一个基于场景的研究,并采用了模糊集定性比较分析法。我们发现,无论在什么干扰情况下,体验到所有价值观的客户都愿意与聊天机器人互动,而没有体验到任何价值观的客户则不愿意。我们表明,破坏性情境会激发客户与聊天机器人互动的意愿,而如果没有破坏性情境,这些价值配置是不够的。我们通过强调好奇心的认识价值是与聊天机器人互动意愿的重要驱动力,对技术互动的相关价值进行了补充。在此过程中,我们提供了一个配置视角,解释了破坏性情境是如何刺激技术互动的。
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引用次数: 0
Bridging the gap between work- and nonwork-related knowledge contributions on enterprise social media: The role of the employee–employer relationship 缩小企业社交媒体上与工作无关的知识贡献之间的差距:员工与雇主关系的作用
IF 6.5 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2024-01-25 DOI: 10.1111/isj.12500
Nabila Boukef, Mohamed Hédi Charki, Mustapha Cheikh-Ammar

Knowledge is an invaluable resource and a key to organisational success. To leverage this resource adequately, organisations must encourage their employees to share what they know with their peers. Enterprise social media (ESM) has emerged as an ideal venue for achieving this goal, and numerous studies have examined the drivers of work-related knowledge contributions on these platforms. The present study contributes to this body of research by examining a prevalent yet underexplored form of knowledge sharing that often occurs on ESM: nonwork-related knowledge contributions. We argue that contrary to a commonly held belief, this presumably hedonic employee behaviour can benefit organisations through its spillover effect on the work domain. In other words, we argue that nonwork-related knowledge contributions on ESM can foster work-related ones. Building on social exchange theory and on the associative–propositional evaluation model in social psychology, we also show that the employee–employer (EE) relationship—conceptualised in terms of perceived organisational support and perceived employee psychological safety—moderates the relationship between the two forms of knowledge contributions. The analysis of field data collected from 269 employees of a French e-commerce company confirmed that nonwork-related knowledge contributions are positively associated with work-related ones and that this positive association is moderated by the EE relationship. We discuss the theoretical contributions of our results and explain key managerial implications for organisations hoping to reap the benefits of ESM in a sustainable way.

知识是宝贵的资源,也是组织成功的关键。要充分利用这一资源,组织必须鼓励员工与同伴分享他们的知识。企业社交媒体(ESM)已成为实现这一目标的理想场所,许多研究都探讨了这些平台上与工作相关的知识贡献的驱动因素。本研究通过考察在 ESM 上经常出现的一种普遍但却未被充分探索的知识共享形式,即与工作无关的知识贡献,为这一研究体系做出了贡献。我们认为,与人们普遍认为的相反,这种可能具有享乐性的员工行为可以通过对工作领域的溢出效应使组织受益。换句话说,我们认为与工作无关的无害环境管理知识贡献可以促进与工作有关的知识贡献。基于社会交换理论和社会心理学中的联想-命题评价模型,我们还表明,员工-雇主(EE)关系--以感知到的组织支持和感知到的员工心理安全为概念--调节着两种形式的知识贡献之间的关系。我们对从一家法国电子商务公司的 269 名员工那里收集到的实地数据进行了分析,结果证实,与工作无关的知识贡献与与工作有关的知识贡献呈正相关,而这种正相关又受到 EE 关系的调节。我们讨论了研究结果的理论贡献,并解释了对希望以可持续的方式从无害环境管理中获益的组织的主要管理意义。
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引用次数: 0
Article production changes at the ISJ and their consequences 国际期刊协会的文章制作变化及其后果
IF 6.4 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2024-01-23 DOI: 10.1111/isj.12505
Robert M. Davison
<p>In late 2023, Wiley, the publisher of the ISJ, informed the editor in chief that from volume 34 no. 3 (May 2024) onwards, changes would be introduced to the way accepted papers are assigned to an issue. Prior to May 2024, the editor in chief selected articles to be included in an issue and communicated this information to a production editor, who then compiled the issue and published it. The editor would also write up an editorial introduction to that issue, with a commentary on a topic relevant to the IS community and an introduction to the articles published in that issue. Although it was common practice for the articles that had been accepted longer ago (and that had therefore been in Early View for a longer time) to be published first, articles accepted for special issues were generally held back until all articles for that special issue had been accepted. The time lag between the acceptance of the first article accepted for a special issue and the last article for the same special issue could be quite considerable, in the order of 12–24 months. Such held back articles would still be visible in Early View, with their own DOI, which meant that they could be cited accurately.</p><p>Starting from May 2024, a new arrangement is in place. First, control over which articles are included in which issue is transferred from the editor in chief to the production editor. The production editor will still select the articles that have been in Early View longest, but will not hold back articles accepted for special issues. Instead, these special issue articles will appear in regular issues, mixed in with other regular articles. Since, at the time of writing, there is a considerable backlog of special issue articles in Early View, I expect that the first couple of issues to appear following this change will consist entirely of special issue articles, but from multiple special issues. In order to preserve the integrity of the special issue, a new feature called a virtual issue will be created. Virtual issues, which will be accessible via the standard menu on the journal's home page, will then capture all the articles accepted for the special issue. Virtual issues will also have an editorial introduction, created by the guest editors of the special issue. This editorial introduction will have its own DOI and so will be citable in its own right. Indeed, it will also be possible to curate accepted articles that were not published as part of a special issue into a new virtual issue on the basis of their collective contribution to a particular part of the discourse in IS research. This may bring together articles published many years apart.</p><p>Given the above changes to the management of issue production, the institution of writing an editorial to introduce the articles published in each regular issue will cease and the nature of an editorial at the ISJ will also change. Although we will no longer use editorials to introduce the articles published in an iss
2023 年末,《国际期刊》的出版商 Wiley 通知主编,从第 34 卷第 3 期(2024 年 5 月)起,将改变将录用论文分配到各期的方式。在 2024 年 5 月之前,主编会选择要收录到期刊中的文章,并将这些信息传达给制作编辑,然后由制作编辑汇编期刊并出版。编辑还将为该期撰写编辑导言,对与信息系统界相关的主题进行评论,并对该期发表的文章进行介绍。虽然通常的做法是先发表较早被录用的文章(因此在《早期视角》中停留的时间较长),但为特刊录用的文章一般要等到该特刊的所有文章都被录用后才能发表。特刊接受第一篇文章与同一特刊接受最后一篇文章之间的时间间隔可能相当长,约为 12-24 个月。从 2024 年 5 月起,新的安排开始实施。从2024年5月起,新的安排将开始实施。首先,主编将控制哪些文章被收录到哪一期中,转而由制作编辑来控制。制作编辑仍将选择在《早期视界》上发表时间最长的文章,但不会保留已接受的特刊文章。相反,这些特刊文章将出现在定期刊物中,与其他定期刊物的文章混杂在一起。由于在撰写本报告时,《早期视界》中积压了大量特刊文章,我预计在这一变化之后出版的前几期将完全由特刊文章组成,但会来自多个特刊。为了保持特刊的完整性,将创建一个名为虚拟特刊的新功能。虚拟特刊可通过期刊主页的标准菜单访问,届时将收录特刊接受的所有文章。虚拟特刊还将有特邀编辑撰写的编辑导言。该编辑导言将有自己的 DOI,因此本身可以引用。事实上,还可以将未作为特刊一部分发表的录用文章,根据其对信息和通信技术研究某一特定领域的集体贡献,编辑成新的虚拟特刊。鉴于上述期刊出版管理方面的变化,为介绍每期定期出版的文章而撰写社论的制度将停止,《国际信息系统学报》社论的性质也将发生变化。虽然我们将不再使用社论来介绍每期发表的文章,但我们仍将发表社论,作为期刊编辑对与信息系统学科相关的当代主题的独立思考或评论。有些期刊允许任何人撰写社论,而我们将把社论保留给《国际信息系统学报》的编辑(包括高级编辑、副主编和编辑顾问委员会成员)。几篇新类型的社论已在撰写中,并将适时刊登在《国际期刊》上。
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引用次数: 0
The ethics of using generative AI for qualitative data analysis 使用生成式人工智能进行定性数据分析的伦理问题
IF 6.5 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2024-01-21 DOI: 10.1111/isj.12504
Robert M. Davison, Hameed Chughtai, Petter Nielsen, Marco Marabelli, Federico Iannacci, Marjolein van Offenbeek, Monideepa Tarafdar, Manuel Trenz, Angsana A. Techatassanasoontorn, Antonio Díaz Andrade, Niki Panteli
<p>It is important to note that the text of this editorial is entirely written by humans without any Generative Artificial Intelligence (GAI) contribution or assistance. The Editor of the ISJ (Robert M. Davison) was contacted by one of the ISJ's Associate Editors (AE) (Marjolein van Offenbeek) who explained that the qualitative data analysis software ATLAS.ti was offering a free-of-charge analysis of research data if the researcher shared the same data with ATLAS.ti for training purposes for their GAI1 analysis tool. Marjolein believed that this spawned an ethical dilemma. Robert forwarded Marjolein's email to the ISJ's Senior Editors (SEs) and Associate Editors (AEs) and invited their comments. Nine of the SEs and AEs replied with feedback. We (the 11 contributing authors) then engaged in a couple of rounds of brainstorming before amalgamating the text in a shared document. This was initially created by Hameed Chughtai, but then commented on and edited by all the members of the team. The final version constitutes the shared opinion of the 11 members of the team, after several rounds of discussion. It is important to emphasise that the 11 authors have contrasting views about whether GAI should be used in qualitative data analysis, but we have reached broad agreement about the ethical issues associated with this use of GAI. Although many other topics related to the use of GAI in research could be discussed, for example, how GAI could be effectively used for qualitative analysis, we believe that ethical concerns overarch many of these other topics. Thus, in this editorial we exclusively focus on the ethics associated with using GAI for qualitative data analysis.</p><p>The emergence and ready availability of GAI has profound implications for research. This powerful technology, capable of generating human-like text, has the potential to create many opportunities for researchers in all disciplines. However, the technology brings ethical challenges and risks. We unearth and comment on many facets of qualitative data-related ethics. Our goal is to engage with and inform the many stakeholders of the ISJ, including other editors, (prospective) authors, reviewers and readers.</p><p>We intend that this discussion serves as a starting point for a broader conversation on how we can responsibly navigate the evolving landscape of GAI in research. It is important to point out that we are not advocating for or against the use of GAI in research, nor are we attempting to find ways to make it easier (or harder) for researchers to incorporate GAI in their research designs and practices. Our focus relates to the ethical issues associated with GAI use in analysing qualitative data that scholars, in the conduct of their academic research, may encounter and should consider.</p><p>One of the allures of GAI lies in its capability to discover patterns to produce new codes in a data corpus faster and more comprehensively than humans, by drawing from its trained data. This c
值得注意的是,这篇社论的文字完全由人类撰写,没有任何生成人工智能(GAI)的贡献或协助。ISJ的一位副主编(AE)(Marjolein van Offenbeek)与ISJ的编辑(Robert M. Davison)取得了联系,她解释说,定性数据分析软件ATLAS.ti提供免费的研究数据分析服务,条件是研究人员将相同的数据与ATLAS.ti共享,以便为其GAI1分析工具提供培训。Marjolein 认为这引发了道德难题。罗伯特将 Marjolein 的电子邮件转发给了 ISJ 的高级编辑 (SE) 和副编辑 (AE),并邀请他们发表评论。九位高级编辑和副编辑回复了反馈意见。随后,我们(11 位撰稿人)进行了几轮头脑风暴,最后将文本合并到一份共享文件中。该文件最初由 Hameed Chughtai 创建,但随后由团队所有成员进行了评论和编辑。经过几轮讨论后,最终版本构成了团队 11 名成员的共同意见。需要强调的是,11 位作者对是否应在定性数据分析中使用 GAI 持有截然不同的观点,但我们对与使用 GAI 相关的伦理问题达成了广泛共识。尽管我们还可以讨论与在研究中使用 GAI 相关的许多其他话题,例如,如何将 GAI 有效地用于定性分析,但我们认为,伦理问题是许多其他话题的重中之重。因此,在这篇社论中,我们将专门讨论与使用 GAI 进行定性数据分析相关的伦理问题。这种能够生成类人文本的强大技术有可能为所有学科的研究人员创造许多机会。然而,这项技术也带来了伦理挑战和风险。我们发掘并评论了定性数据相关伦理的许多方面。我们的目标是让 ISJ 的众多利益相关者(包括其他编辑、(潜在)作者、审稿人和读者)参与进来,并为他们提供信息。我们希望以此次讨论为起点,就如何在研究中负责任地驾驭不断变化的 GAI 环境展开更广泛的对话。需要指出的是,我们并不是在提倡或反对在研究中使用 GAI,也不是在试图寻找方法,让研究人员更容易(或更难)将 GAI 纳入其研究设计和实践中。我们关注的重点是与使用 GAI 分析定性数据相关的伦理问题,学者们在进行学术研究时可能会遇到这些问题,也应该考虑这些问题。GAI 的诱惑之一在于它能够通过利用训练有素的数据,比人类更快、更全面地发现模式,从而在数据语料库中生成新的代码。这种能力意味着 GAI 可以识别人类遗漏的模式。然而,速度和全面性并不一定意味着适当性、实质性帮助或深刻的理解。更根本的是,速度和全面性的实现不应以不道德的研究实践或研究参与对个人、社区、组织和社会 "无害 "的承诺为代价(Iphofen &amp; Tolich, 2018)。因此,在我们看来,功利主义论点(目的证明手段的正当性)不足以作为将 GAI 用于定性数据分析的理由。这样的功利主义论点会允许不择手段或无原则的研究人员随心所欲地使用 GAI,以追求表面上可能有利于研究人员个人的目标,但同时也违反了我们所推崇的道德规范或行为准则。因此,我们开展研究的手段必须符合道德规范,而且必须通过同行评审制度被同行视为符合道德规范。在研究中使用 GAI 不仅仅是一个工具选择问题,还是一个触及研究诚信、行为和价值本质的问题。它挑战我们重新定义我们认为的 "做研究",促使我们重新审视如何最大限度地提高研究效益,最大限度地降低对个人和社会的风险和危害(Gibbs,2018 年)。它还挑战我们思考对作者身份、数据所有权和权利、责任、隐私和透明度的理解和影响。因此,我们提出的首要问题是 "在使用 GAI 分析定性数据时,可能会出现哪些伦理问题"(参见 UNESCO, 2021)。为了解决这个问题,我们重点关注五个方面:(1) 数据所有权和权利;(2) 数据隐私和透明度;(3) 解释的充分性;(4) GAI 中表现出的偏见;以及 (5) 研究人员的责任和代理。 GAI 可能依赖于源自殖民或帝国历史、意识形态或权力结构或受其影响的数据来源、方法或框架。GAI 可能不承认或不处理其数据编码的任何这些道德、社会或政治影响。在以上各节中,我们已经指出了使用 GAI 进行公正客观分析的相关困难。因此,部分或全部通过基于 GAI 的数据分析得出的解释可能难以批判性地解释,因为数据分析过程所依据的算法和模型可能很复杂、不透明或黑箱化。例如,GAI 工具通常使用神经网络、遗传算法和机器学习技术的组合,这些技术对人类用户或研究人员来说不容易解释或不透明。大多数定性研究的突发性和互动性要求对研究人员及其行为进行更严格的审查(Iphofen &amp; Tolich, 2018)。借鉴算法时代数据伦理的讨论,一些作者认为,"人类对许多自动流程的参与甚至监督逐渐减少,带来了公平、责任和尊重人权等紧迫问题"(Floridi &amp; Taddeo, 2016, p.2)。除了研究者对参与者的责任和义务外,研究者还必须承担认识论责任,这涉及到对证据负责,因为证据是研究者与被研究者之间的关系构成,并对研究者声称知道的事情承担责任(Code, 2001)。一些研究人员可能会认为,全球信息获取方法可以帮助他们从大型数据集中识别出初步模式,为他们提供初步见解。不过,人们也认识到,GAI 并非无懈可击。例如,它容易产生所谓的 "幻觉",即 "说谎 "和 "捏造事实"(Ji 等人,2023 年)。因此,通过技术(如 GAI)确定的任何 "初步模式 "的真实性都必须由研究人员进行检查,研究人员必须声称自己是这些模式的作者,从而对文本负责;责任仍由研究人员承担(Gregor, 2024)。GAI 不能被列为共同作者(这是 ISJ 出版商的政策),因此不能在研究或其成果中拥有任何代理权。也就是说,我们认为在研究过程的各个方面,盲目、自动地应用GAI进行数据分析而没有人的参与是不道德的。我们承认,有些道德问题是特定的GAI实施所特有的,它们会随着时间的推移而改变,这就强调了明确质量标准的必要性。GAI 的实施也可能是私下进行的。例如,一些研究机构已经建立了自己的 GAI 服务,使学生和研究人员能够在符合大学和国家数据隐私要求的情况下使用 OpenAI 的 GPT 模型。然而,私人语言学习模型并不一定能提高编码质量;它们可能仍然过于通用,无法解决具体的研究问题。根据我们的分析并考虑到 GAI 的所有这些特点,我们建议研究人员应进行批判性反思并保持警惕,以识别、理解并有力地解决在涉及定性数据分析的研究实践中使用 GAI 的伦理问题。Robert M. Davison、Hameed Chughtai、Petter Nielsen、Marco Marabelli、Federico Iannacci、Marjolein van Offenbeek、Monideepa Tarafdar、Manuel Trenz、Angsana A. Techatassanasoontorn、Antonio Díaz Andrade 和 Niki Panteli 为本社论做出了同样的贡献。
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引用次数: 0
The global politics of artificial intelligence By Maurizio Tinnirello, Boca Raton London, New York: CRC Press Tylor & Francis Group. 2022. ISBN: 978-0-429-44667-2 (hbk), ISBN: 978-1-138-31457-3 (pbk), ISBN: 978-0-429-44672-6 (ebk) 人工智能的全球政治 作者:MaurizioTinnirello,博卡拉顿,伦敦,纽约:CRC Press Tylor & Francis Group。2022.ISBN: 978-0-429-44667-2 (hbk), ISBN: 978-1-138-31457-3 (pbk), ISBN: 978-0-429-44672-6 (ebk)
IF 6.5 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2024-01-19 DOI: 10.1111/isj.12506
Irfan Walhidayah, Ahmad Rizaldi
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引用次数: 0
Digital nomadism as a new part of the visitor economy: The case of the “digital nomad capital” Chiang Mai, Thailand 数字游牧作为游客经济的新组成部分:泰国清迈 "数字游牧之都 "案例
IF 6.5 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2024-01-18 DOI: 10.1111/isj.12496
Angtyasti Jiwasiddi, Daniel Schlagwein, Michael Cahalane, Dubravka Cecez-Kecmanovic, Carmen Leong, Peter Ractham

Digital nomadism allows individuals to travel worldwide while using various forms of information technology (IT) to work digitally. Places like Chiang Mai, Thailand, and Canggu, Bali/Indonesia, have gained popularity among digital nomads in the past decade. In contributing to the economies of local communities, these nomads, with their unique characteristics, are an interesting, new visitor type. Governments worldwide are starting to recognise the potential of digital nomadism to improve local visitor economies. However, the impacts of digital nomadism on local communities, their culture and economies, are not without challenges and require further understanding. Almost all existing studies on digital nomadism focus on the nomads themselves, while, in this study, we take the perspective of the locals visited by digital nomads. Using the case study of Chiang Mai, the “digital nomad capital”, we answer the following research questions: What are the impacts of digital nomadism on local communities? How do digital nomads compare to other visitor types within the visitor economy of a local community? Our findings reveal diverse socio-cultural, economic and technological impacts and how locals in Chiang Mai evaluate digital nomads differently compared to other types of visitors. This research, grounded in an in-depth case study, contributes to a better understanding of digital nomadism by offering new knowledge about its ambivalent impacts on local communities. We also discuss contributions to the wider literature and implications for policy.

数字游牧可以让个人在世界各地旅行,同时利用各种形式的信息技术(IT)开展数字工作。在过去十年中,泰国清迈和印度尼西亚巴厘岛长谷等地受到了数字游牧民族的青睐。这些游牧民族为当地社区的经济做出了贡献,他们独具特色,是一种有趣的新游客类型。世界各国政府开始认识到数字游牧在改善当地游客经济方面的潜力。然而,数字游牧对当地社区、其文化和经济的影响并非没有挑战,需要进一步了解。几乎所有关于数字游牧的现有研究都侧重于游牧者本身,而在本研究中,我们则从数字游牧者所访问的当地人的角度出发。通过对 "数字游牧之都 "清迈的案例研究,我们回答了以下研究问题:数字游牧对当地社区有哪些影响?在当地社区的游客经济中,数字游牧民族与其他游客类型相比有何不同?我们的研究结果揭示了不同的社会文化、经济和技术影响,以及清迈当地人对数字游牧民族与其他类型游客的不同评价。这项研究以深入的案例研究为基础,通过提供有关数字游牧对当地社区的矛盾影响的新知识,有助于更好地理解数字游牧。我们还讨论了对更广泛文献的贡献以及对政策的影响。
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引用次数: 0
Empowering organisational commitment through digital transformation capabilities: The role of digital leadership and a continuous learning environment 通过数字化转型能力增强组织承诺:数字化领导力和持续学习环境的作用
IF 6.5 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2024-01-16 DOI: 10.1111/isj.12501
Jessica Braojos, Pauline Weritz, Jorge Matute

Although research has shown that leveraging technologies and creating a new organisational identity are critical to staying competitive in a digital business environment, these assumptions have focused mainly on operational performance and exclude the impact on the workplace and employees. The challenge of attracting employees in the context of digital transformation is leading organisations to explore drivers of commitment. Further research is needed into the key factors that bind employees to an organisation. This study seeks to advance knowledge on this individual frontier by proposing a model in which digital leadership and a continuous learning environment mediate the impact of digital transformation capabilities on organisational commitment. Testing our model through an empirical study from Spain shows an effect of both mediators. The paper thus contributes to the IS literature by identifying two mediators and their role in achieving organisational commitment. These results also suggest a new way to approach research in digital transformation by opening a new frontier on the individual level and charting a path for future study. Moreover, the results have great practical value, generating implications for organisations and new avenues of future research to explore the boundary conditions of the individual frontier.

尽管研究表明,利用技术和创建新的组织身份对于在数字化商业环境中保持竞争力至关重要,但这些假设主要侧重于运营绩效,而不包括对工作场所和员工的影响。在数字化转型的背景下,吸引员工的挑战正促使组织探索承诺的驱动因素。需要进一步研究将员工与组织紧密联系在一起的关键因素。本研究提出了一个模型,在该模型中,数字化领导力和持续学习环境是数字化转型能力对组织承诺影响的中介,从而试图推进对这一个体前沿领域的了解。通过对西班牙的一项实证研究来检验我们的模型,结果表明这两个中介因素都会产生影响。因此,本文通过确定两个中介因素及其在实现组织承诺中的作用,为信息系统文献做出了贡献。这些结果还为数字化转型研究提供了一种新的方法,开辟了个人层面的新领域,为今后的研究指明了道路。此外,这些结果还具有很高的实用价值,对组织产生了影响,并为未来探索个体前沿的边界条件开辟了新的研究途径。
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引用次数: 0
Organising and managing digital platform renewal: The role of framing and overflowing 组织和管理数字平台的更新:框架和溢出的作用
IF 6.5 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2024-01-15 DOI: 10.1111/isj.12502
Rune Thorbjørn Clausen, Jeppe Agger Nielsen, Lars Mathiassen

Renewing digital platforms is increasingly vital to ensure organisational performance and competitiveness. Managing such renewal is challenging, however, because it requires organisations to remove their exiting digital platform while at the same time building on the practises that depend on it in order to implement a new platform. Unfortunately, the literature offers little guidance on how to launch and manage this inherently complex process. Against this backdrop, we conducted a three-year case study of how a local government organisation organised and managed the renewal of its digital platform, which 4000 health professionals in eldercare use on a daily basis. We use two concepts—framing and overflowing—to reflect the complexity of the process and to describe how it unfolded. Initially, managers used persuasive language to carefully frame a vision of the change and prepare platform users for the renewal process. Despite these framing efforts, however, unexpected events led to overflow situations in which events rendered the framing untenable and threatened successful renewal. This, in turn, led to a decision to postpone the new platform's go-live date. While the postponement did defuse the situation, new overflows emerged, and management was forced to initiate further framing activities to move the platform renewal forward. Based on our insights into these events and extant literature, we present a conceptual model of framing and overflowing in organising and managing digital platform renewal that unpacks how framing–overflowing dynamics play out over time in response to the complexity of the process.

更新数字平台对于确保组织绩效和竞争力越来越重要。然而,管理这种更新是具有挑战性的,因为它要求组织在移除其现有数字平台的同时,建立依赖于该平台的实践,以便实施新的平台。遗憾的是,对于如何启动和管理这一固有的复杂过程,相关文献几乎没有提供任何指导。在此背景下,我们对一家地方政府机构如何组织和管理其数字平台的更新进行了为期三年的案例研究,该机构有 4000 名老年保健专业人员每天都在使用该平台。我们使用了两个概念--"框架 "和 "溢出"--来反映这一过程的复杂性,并描述它是如何展开的。起初,管理者使用了具有说服力的语言,精心构筑了变革的愿景,并让平台用户为更新过程做好准备。然而,尽管做出了这些努力,意想不到的事件还是导致了溢出情况的发生,在这种情况下,事件的发生使得框架无法成立,并威胁到成功的更新。这反过来又导致了推迟新平台上线日期的决定。虽然延期确实化解了局面,但新的溢出情况又出现了,管理层不得不启动进一步的框架设计活动,以推进平台的更新。根据我们对这些事件和现有文献的深入了解,我们提出了一个在组织和管理数字平台更新过程中框架和溢出的概念模型,该模型揭示了框架-溢出动态是如何随着时间的推移,针对过程的复杂性而发生作用的。
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引用次数: 0
Perceived algorithmic fairness: An empirical study of transparency and anthropomorphism in algorithmic recruiting 感知算法公平性:算法招聘中的透明度和拟人化实证研究
IF 6.4 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2024-01-15 DOI: 10.1111/isj.12482
Jessica Ochmann, Leonard Michels, Verena Tiefenbeck, Christian Maier, Sven Laumer

Despite constant efforts of organisations to ensure a fair and transparent personnel selection process, hiring is still characterised by systematic inequality. The potential of algorithms to produce fair and objective decision outcomes has attracted the attention of academic scholars and practitioners as a conceivable alternative to human decision-making. However, applicants do not necessarily consider an objective algorithm as fairer than a human decision maker. This study examines the conditions under which applicants perceive algorithms as fair and establishes a theoretical foundation of algorithmic fairness perceptions. We further propose and investigate transparency and anthropomorphism interventions as strategies to actively shape these fairness perceptions. In an online application scenario with eight experimental groups (N = 801), we analyse determinants for algorithmic fairness perceptions and the impact of the proposed interventions. Embedded in a stimulus-organism-response framework and drawing from organisational justice theory, our study reveals four justice dimensions (procedural, distributive, interpersonal, informational justice) that determine algorithmic fairness perceptions. The results further show that transparency and anthropomorphism interventions mainly affect dimensions of interpersonal and informational justice, highlighting the importance of algorithmic fairness perceptions as critical determinants for individual choices.

尽管各组织一直在努力确保人员甄选过程的公平和透明,但招聘过程中仍然存在系统性的不平等。算法产生公平客观决策结果的潜力吸引了学术界学者和从业人员的关注,认为它可以替代人类决策。然而,应聘者并不一定认为客观算法比人类决策者更公平。本研究探讨了申请人认为算法公平的条件,并建立了算法公平感的理论基础。我们进一步提出并研究了透明度和拟人化干预措施,作为积极塑造这些公平感知的策略。在一个有八个实验组(N = 801)的在线申请场景中,我们分析了算法公平感的决定因素以及所建议的干预措施的影响。在 "刺激--组织--反应 "框架内,借鉴组织公正理论,我们的研究揭示了决定算法公平感的四个公正维度(程序公正、分配公正、人际公正、信息公正)。研究结果进一步表明,透明度和拟人化干预措施主要影响人际公正和信息公正的维度,突出了算法公平感作为个人选择的关键决定因素的重要性。
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引用次数: 0
Information systems-enabled sustainability transformation: A study of an energy self-sufficient village in Germany 信息系统促成的可持续性转型:对德国一个能源自给自足村庄的研究
IF 6.4 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2024-01-11 DOI: 10.1111/isj.12489
Linna Xu, Wenyu (Derek) Du, Shan L. Pan, Hendrik Send, Matti Grosse

Information systems (IS) play an important role in helping organisations attain environmental sustainability targets, and how to use IS for sustainability transformation is attracting research attention. However, extant studies have mainly focused on such transformation of business enterprises, overlooking it of communities. Our study intends to fill this gap by conducting an in-depth case study at Feldheim, a small village in Germany that has successfully built a renewable energy system using IS and achieved energy self-sufficiency. Guided by the belief-action-outcome (BAO) framework, our study unveiled a process model of antecedents, belief and action formation, and outcomes specific to community-based sustainability transformation. The model also reveals three roles that IS assume in such transformation: participation objects, connectivity enablement, and fluctuation mitigation. Our study contributes to the literature on IS-enabled sustainability transformation by extending it from the business enterprise context to the community context. It also provides communities with guidelines for conducting IS-enabled sustainability transformation.

信息系统(IS)在帮助组织实现环境可持续发展目标方面发挥着重要作用,如何利用信息系统促进可持续发展转型也引起了研究的关注。然而,现有研究主要关注商业企业的这种转型,而忽略了社区的转型。费尔德海姆是德国的一个小村庄,利用信息服务成功建立了可再生能源系统,实现了能源自给自足。在 "信念-行动-结果"(BAO)框架的指导下,我们的研究揭示了社区可持续发展转型所特有的前因、信念和行动的形成以及结果的过程模型。该模型还揭示了信息系统在此类转型中的三种作用:参与对象、连通性赋能和波动缓解。我们的研究从商业企业的背景延伸到社区的背景,从而为有关由信息系统推动的可持续发展转型的文献做出了贡献。它还为社区提供了开展由信息系统推动的可持续发展转型的指导方针。
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引用次数: 0
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