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.
{"title":"Chatbot interactions: How consumption values and disruptive situations influence customers' willingness to interact","authors":"Marco Meier, Christian Maier, Jason B. Thatcher, Tim Weitzel","doi":"10.1111/isj.12507","DOIUrl":"10.1111/isj.12507","url":null,"abstract":"<p>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.</p>","PeriodicalId":48049,"journal":{"name":"Information Systems Journal","volume":"34 5","pages":"1579-1625"},"PeriodicalIF":6.5,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/isj.12507","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140483428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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。
{"title":"Bridging the gap between work- and nonwork-related knowledge contributions on enterprise social media: The role of the employee–employer relationship","authors":"Nabila Boukef, Mohamed Hédi Charki, Mustapha Cheikh-Ammar","doi":"10.1111/isj.12500","DOIUrl":"10.1111/isj.12500","url":null,"abstract":"<p>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.</p>","PeriodicalId":48049,"journal":{"name":"Information Systems Journal","volume":"34 5","pages":"1538-1578"},"PeriodicalIF":6.5,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/isj.12500","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139596529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
<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
{"title":"Article production changes at the ISJ and their consequences","authors":"Robert M. Davison","doi":"10.1111/isj.12505","DOIUrl":"10.1111/isj.12505","url":null,"abstract":"<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","PeriodicalId":48049,"journal":{"name":"Information Systems Journal","volume":"34 3","pages":"585"},"PeriodicalIF":6.4,"publicationDate":"2024-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/isj.12505","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139603007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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 & 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 & 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 & 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。
{"title":"The ethics of using generative AI for qualitative data analysis","authors":"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","doi":"10.1111/isj.12504","DOIUrl":"10.1111/isj.12504","url":null,"abstract":"<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","PeriodicalId":48049,"journal":{"name":"Information Systems Journal","volume":"34 5","pages":"1433-1439"},"PeriodicalIF":6.5,"publicationDate":"2024-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/isj.12504","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139610256","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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.
{"title":"Digital nomadism as a new part of the visitor economy: The case of the “digital nomad capital” Chiang Mai, Thailand","authors":"Angtyasti Jiwasiddi, Daniel Schlagwein, Michael Cahalane, Dubravka Cecez-Kecmanovic, Carmen Leong, Peter Ractham","doi":"10.1111/isj.12496","DOIUrl":"10.1111/isj.12496","url":null,"abstract":"<p>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.</p>","PeriodicalId":48049,"journal":{"name":"Information Systems Journal","volume":"34 5","pages":"1493-1535"},"PeriodicalIF":6.5,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/isj.12496","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139615885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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.
{"title":"Empowering organisational commitment through digital transformation capabilities: The role of digital leadership and a continuous learning environment","authors":"Jessica Braojos, Pauline Weritz, Jorge Matute","doi":"10.1111/isj.12501","DOIUrl":"10.1111/isj.12501","url":null,"abstract":"<p>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.</p>","PeriodicalId":48049,"journal":{"name":"Information Systems Journal","volume":"34 5","pages":"1466-1492"},"PeriodicalIF":6.5,"publicationDate":"2024-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/isj.12501","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139618739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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.
{"title":"Organising and managing digital platform renewal: The role of framing and overflowing","authors":"Rune Thorbjørn Clausen, Jeppe Agger Nielsen, Lars Mathiassen","doi":"10.1111/isj.12502","DOIUrl":"10.1111/isj.12502","url":null,"abstract":"<p>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.</p>","PeriodicalId":48049,"journal":{"name":"Information Systems Journal","volume":"34 5","pages":"1440-1465"},"PeriodicalIF":6.5,"publicationDate":"2024-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/isj.12502","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139529461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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.
{"title":"Perceived algorithmic fairness: An empirical study of transparency and anthropomorphism in algorithmic recruiting","authors":"Jessica Ochmann, Leonard Michels, Verena Tiefenbeck, Christian Maier, Sven Laumer","doi":"10.1111/isj.12482","DOIUrl":"10.1111/isj.12482","url":null,"abstract":"<p>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 (<i>N</i> = 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.</p>","PeriodicalId":48049,"journal":{"name":"Information Systems Journal","volume":"34 2","pages":"384-414"},"PeriodicalIF":6.4,"publicationDate":"2024-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/isj.12482","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139621942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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.
{"title":"Information systems-enabled sustainability transformation: A study of an energy self-sufficient village in Germany","authors":"Linna Xu, Wenyu (Derek) Du, Shan L. Pan, Hendrik Send, Matti Grosse","doi":"10.1111/isj.12489","DOIUrl":"10.1111/isj.12489","url":null,"abstract":"<p>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.</p>","PeriodicalId":48049,"journal":{"name":"Information Systems Journal","volume":"34 4","pages":"1402-1424"},"PeriodicalIF":6.4,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139626801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}