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Bragging or humblebragging? The impact of travel bragging on viewer behavior 吹嘘还是谦虚?旅游吹嘘对观众行为的影响
IF 7.8 2区 管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM Pub Date : 2024-07-22 DOI: 10.1108/tr-12-2023-0835
Huili Yan, Yuzhi Wei, Chenxin Shen, Hao Xiong

Purpose

Travel bragging, driven by impression management, is common on social media. However, straightforward bragging can create negative perceptions. To mitigate this, tourists often turn to humblebragging, but its effectiveness is unclear. This study aims to examine whether humblebragging elicits more positive responses from viewers than straightforward bragging.

Design/methodology/approach

Drawing on social comparison theory and compensation theory, this paper developed a moderated mediation model to explore the impact of bragging type (bragging vs humblebragging) on viewer behavior. The model was validated through two scenario-based experiments.

Findings

The results reveal the double-sword effect of humblebragging: Humblebragging elicits stronger benign and malicious envy than bragging. Benign envy mediates the relationship between bragging type and consumption intention, while malicious envy mediates between bragging type and avoidance/gossip. Perceived deservingness moderates the effect of bragging type on envy and the mediation processes. When viewers perceive the poster’s advantage as deserving, humblebragging elicits more benign envy than bragging. When perceived as undeserving, humblebragging leads to more malicious envy.

Originality/value

This study is innovative in validating the double-edged sword effect of humblebragging and identifying perceived deservingness as a boundary condition.

目的在社交媒体上,由印象管理驱动的旅游吹嘘很常见。然而,直截了当的吹嘘会造成负面印象。为了缓解这种情况,游客通常会转而使用谦虚地吹嘘的方式,但其效果尚不明确。设计/方法/途径本文借鉴社会比较理论和补偿理论,建立了一个调节中介模型,以探讨吹嘘类型(吹嘘与谦虚)对观众行为的影响。通过两个基于情景的实验对该模型进行了验证:结果显示了谦虚吹牛的双剑效应:与吹牛相比,谦虚吹牛会引起更强烈的良性和恶意嫉妒。良性嫉妒在吹牛类型和消费意向之间起中介作用,而恶意嫉妒在吹牛类型和回避/闲聊之间起中介作用。感知到的应得性调节了吹嘘类型对嫉妒和调解过程的影响。当观众认为发帖者的优势应得时,谦虚的吹嘘比吹牛更能引起良性嫉妒。原创性/价值这项研究具有创新性,它验证了谦虚自夸的双刃剑效应,并确定了感知应得性作为边界条件。
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引用次数: 0
Let pictures speak: hotel selection-recommendation method with cognitive image attribute-enhanced knowledge graphs 让图片说话:使用认知图像属性增强知识图谱的酒店选择推荐方法
IF 11.1 1区 管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM Pub Date : 2024-07-22 DOI: 10.1108/ijchm-12-2023-1849
Haoqiang Sun, Haozhe Xu, Jing Wu, Shaolong Sun, Shouyang Wang

Purpose

The purpose of this paper is to study the importance of image data in hotel selection-recommendation using different types of cognitive features and to explore whether there are reinforcing effects among these cognitive features.

Design/methodology/approach

This study represents user-generated images “cognitive” in a knowledge graph through multidimensional (shallow, middle and deep) analysis. This approach highlights the clustering of hotel destination imagery.

Findings

This study develops a novel hotel selection-recommendation model based on image sentiment and attribute representation within the construction of a knowledge graph. Furthermore, the experimental results show an enhanced effect between different types of cognitive features and hotel selection-recommendation.

Practical implications

This study enhances hotel recommendation accuracy and user satisfaction by incorporating cognitive and emotional image attributes into knowledge graphs using advanced machine learning and computer vision techniques.

Social implications

This study advances the understanding of user-generated images’ impact on hotel selection, helping users make better decisions and enabling marketers to understand users’ preferences and trends.

Originality/value

This research is one of the first to propose a new method for exploring the cognitive dimensions of hotel image data. Furthermore, multi-dimensional cognitive features can effectively enhance the selection-recommendation process, and the authors have proposed a novel hotel selection-recommendation model.

本文旨在利用不同类型的认知特征研究图像数据在酒店选择-推荐中的重要性,并探讨这些认知特征之间是否存在强化效应。设计/方法/途径本研究通过多维(浅层、中层和深层)分析,在知识图谱中体现用户生成图像的 "认知"。研究结果本研究在知识图谱的构建过程中,基于图像情感和属性表示,开发了一种新颖的酒店选择-推荐模型。此外,实验结果表明,不同类型的认知特征与酒店选择-推荐之间存在增强效应。实践意义本研究利用先进的机器学习和计算机视觉技术,将认知和情感图像属性纳入知识图谱,从而提高了酒店推荐的准确性和用户满意度。社会意义本研究推进了对用户生成的图像对酒店选择的影响的理解,帮助用户做出更好的决策,并使营销人员能够了解用户的偏好和趋势。此外,多维认知特征可有效增强选择-推荐过程,作者还提出了一种新颖的酒店选择-推荐模型。
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引用次数: 0
Successful implementation of customer experience strategy: determinants and results 成功实施客户体验战略:决定因素和结果
IF 10.6 2区 管理学 Q1 MANAGEMENT Pub Date : 2024-07-22 DOI: 10.1108/josm-10-2023-0431
Juliane Kristina Köninger, Matthias H.J. Gouthier

Purpose

Customer Experience Management (CXM) has already outgrown its infancy and must now position itself for long-term strategic success. However, the best Customer Experience Strategy (CXS) is worth little if not implemented effectively. Therefore, the present study investigated the determinants of the successful implementation of CXS and its results.

Design/methodology/approach

Key success factors were identified based on intensive desk research complemented by an exploratory qualitative study. The relevance of these determinants and the impact of successful CXS implementation were examined in a quantitative study involving 264 Customer Experience (CX) managers from several countries.

Findings

The results demonstrate the significant positive effects of the four determinants of top management support, CX-related organizational involvement, CX measurement ability, and internal use of CX data on CXS implementation success. Additionally, cross-functional working acts as a moderator. Moreover, the findings show the positive effects of successful CXS implementation on organizational customer orientation and customer relationship performance. Finally, our findings lead to essential theoretical and managerial implications.

Originality/value

While previous studies focused on CX or CXM, this study contributes to the research field by empirically testing the central determinants of successful CXS implementation and demonstrating the firm-internal (organizational customer orientation) and firm-external (customer relationship performance) effects of successful CXS implementation.

目的客户体验管理(CXM)已经走出了起步阶段,现在必须为自己的长期战略成功做好定位。然而,如果不能有效实施,再好的客户体验战略(CXS)也没有多大价值。因此,本研究调查了成功实施客户体验战略的决定因素及其结果。设计/方法/途径在深入的案头研究基础上,辅以探索性定性研究,确定了关键的成功因素。研究结果表明,高层管理支持、与客户体验相关的组织参与、客户体验测量能力和客户体验数据的内部使用这四个决定因素对客户体验管理系统的成功实施具有显著的积极影响。此外,跨职能工作也起到了调节作用。此外,研究结果表明,成功实施客户关系管理系统对组织客户导向和客户关系绩效具有积极影响。原创性/价值以往的研究主要集中在客户关系或客户关系管理方面,而本研究通过实证检验成功实施客户关系管理系统的核心决定因素,并证明成功实施客户关系管理系统对企业内部(组织客户导向)和企业外部(客户关系绩效)的影响,从而为该研究领域做出了贡献。
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引用次数: 0
Knowledge extraction by integrating emojis with text from online reviews 通过整合表情符号和在线评论文本进行知识提取
IF 7 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2024-07-19 DOI: 10.1108/jkm-01-2024-0104
Kuoyi Lin, Xiaoyang Kan, Meilian Liu

Purpose

This study develops and validates an innovative approach for extracting knowledge from online user reviews by integrating textual content and emojis. Recognizing the pivotal role emojis play in enhancing the expressiveness and emotional depth of digital communication, this study aims to address the significant gap in existing sentiment analysis models, which have largely overlooked the contribution of emojis in interpreting user preferences and sentiments. By constructing a comprehensive model that synergizes emotional and semantic information conveyed through emojis and text, this study seeks to provide a more nuanced understanding of user preferences, thereby enhancing the accuracy and depth of knowledge extraction from online reviews. The goal is to offer a robust framework that enables more effective and empathetic engagement with user-generated content on digital platforms, paving the way for improved service delivery, product development and customer satisfaction through informed insights into consumer behavior and sentiments.

Design/methodology/approach

This study uses a structured methodology to integrate and analyze text and emojis from online reviews for effective knowledge extraction, focusing on user preferences and sentiments. This methodology consists of four key stages. First, this study leverages high-frequency noun analysis to identify and extract product attributes mentioned in online user reviews. By focusing on nouns that appear frequently, the authors can systematically discern the primary features or aspects of products that users discuss, thereby providing a foundation for a more detailed sentiment and preference analysis. Second, a foundational sentiment dictionary is established that incorporates sentiment-bearing words, intensifiers and negation terms to analyze the textual part of the reviews. This dictionary is used to assign sentiment scores to phrases and sentences within reviews, allowing the quantification of textual sentiments based on the presence and combination of these predefined lexical items. Third, an emoticon sentiment dictionary is developed to address the emotional content conveyed through emojis. This dictionary categorizes emojis based on their associated sentiments, thus enabling the quantification of emotional expressions in reviews. The sentiment scores derived from the emojis are then integrated with those from the textual analysis. This integration considers the weights of text- and emoji-based emotions to compute a comprehensive attribute sentiment score that reflects a nuanced understanding of user sentiments and preferences. Finally, the authors conduct an empirical study to validate the effectiveness of the proposed methodology in mining user preferences from online reviews by applying the approach to a data set of online reviews and evaluating its ability to accurately identify product attributes and user sentiments. The validation

目的 本研究开发并验证了一种通过整合文本内容和表情符号从在线用户评论中提取知识的创新方法。认识到表情符号在增强数字通信的表现力和情感深度方面发挥着举足轻重的作用,本研究旨在弥补现有情感分析模型的重大缺陷,因为这些模型在很大程度上忽视了表情符号在解读用户偏好和情感方面的贡献。本研究通过构建一个综合模型,协同表情符号和文本传递的情感和语义信息,力求提供对用户偏好更细致入微的理解,从而提高从在线评论中提取知识的准确性和深度。本研究的目标是提供一个强大的框架,通过对消费者行为和情感的知情洞察,更有效、更有同理心地参与数字平台上的用户生成内容,为改善服务提供、产品开发和客户满意度铺平道路。设计/方法/途径本研究采用结构化方法整合和分析在线评论中的文本和表情符号,以有效提取知识,重点关注用户偏好和情感。该方法包括四个关键阶段。首先,本研究利用高频名词分析来识别和提取在线用户评论中提到的产品属性。通过关注频繁出现的名词,作者可以系统地辨别用户讨论的产品的主要特征或方面,从而为更详细的情感和偏好分析奠定基础。其次,作者建立了一个基础情感词典,其中包含了情感词、强化词和否定词,用于分析评论的文本部分。该词典用于为评论中的短语和句子分配情感分数,从而根据这些预定义词汇的存在和组合对文本情感进行量化。第三,开发了表情符号情感字典,以处理通过表情符号传达的情感内容。该词典根据表情符号的相关情感对其进行分类,从而实现对评论中情感表达的量化。然后将从表情符号中得出的情感分数与文本分析中得出的分数进行整合。这种整合考虑了基于文本和表情符号的情感的权重,从而计算出综合属性情感分数,反映出对用户情感和偏好的细微理解。最后,作者进行了一项实证研究,通过将该方法应用于在线评论数据集并评估其准确识别产品属性和用户情感的能力,验证了所提出的方法在从在线评论中挖掘用户偏好方面的有效性。验证过程评估了该方法从文本和表情符号之间复杂的相互作用中提取有意义见解的可靠性和准确性。本研究为从在线评论中提取知识提供了一个全面而细致的框架,同时捕捉用户通过文本和表情符号表达的显性和隐性情感。通过整合这些元素,本研究旨在提供对用户偏好的全面理解,从而帮助企业和研究人员提高对消费者的洞察力并做出战略决策。 研究结果应用所提出的方法将在线评论中的表情符号与文本整合在一起,得出了重要的研究结果,强调了从用户生成的内容中提取真实的用户知识以获得洞察力的可行性和价值。分析成功地捕捉到了消费者的偏好,这有助于为服务决策提供信息并推动创新。这一成果在很大程度上归功于开发和使用了一个全面的情感-情绪字典,该字典专门用于解释在线评论中文本和基于表情符号的表达之间复杂的相互作用。通过实施将文本情感分析与表情符号情感分析巧妙结合的情感计算模型,本研究能够准确确定评论中讨论的各种产品功能的最终属性情感。该模型有效地描述了在线用户的情感知识,并提供了对其情感和偏好的细微理解。所提取的情感知识不仅可以量化,而且具有丰富的语境,可以为消费者的行为和态度提供更深入的洞察。此外,我们还进行了案例分析,严格检验了所提模型在真实世界场景中的有效性。实际检验结果表明,该模型不仅能够准确提取和分析用户偏好,还能适应不同的环境和产品类别。
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引用次数: 0
Abductive analysis in qualitative public administration research 公共行政定性研究中的归纳分析
IF 8.3 1区 管理学 Q1 PUBLIC ADMINISTRATION Pub Date : 2024-07-19 DOI: 10.1111/puar.13856
Merlijn van Hulst, E. Lianne Visser
Public administration scholars and practitioners need to know how state‐of‐the‐art research is conducted. This article aims to contribute to the dialogue on qualitative analysis. Focusing on abductive analysis, it further unpacks and explicates the process and practices through which theoretical insight can be created from qualitative data. We offer four principles that guide abductive analysis: (i) embrace surprises, tensions, and doubts; (ii) use knowledges creatively to theorize; (iii) craft through methodological bricolage; and (iv) iterate through the research process. In addition, we discuss the implications of abductive analysis for how we learn, craft, and reflect on qualitative research.
公共行政学者和从业人员需要了解最先进的研究是如何进行的。本文旨在为定性分析对话做出贡献。文章以归纳分析为重点,进一步解读和阐释了从定性数据中获得理论洞察力的过程和实践。我们提出了指导归纳分析的四项原则:(i) 拥抱惊喜、紧张和疑虑;(ii) 创造性地使用知识来进行理论化;(iii) 通过方法论上的 "嬉戏 "来制作工艺品;(iv) 在研究过程中不断迭代。此外,我们还讨论了归纳分析对我们如何学习、制作和反思定性研究的影响。
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引用次数: 0
Prompt engineering on leveraging large language models in generating response to InBasket messages. 利用大型语言模型生成 InBasket 消息响应的提示工程。
IF 4.7 2区 医学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-07-19 DOI: 10.1093/jamia/ocae172
Sherry Yan, Wendi Knapp, Andrew Leong, Sarira Kadkhodazadeh, Souvik Das, Veena G Jones, Robert Clark, David Grattendick, Kevin Chen, Lisa Hladik, Lawrence Fagan, Albert Chan

Objectives: Large Language Models (LLMs) have been proposed as a solution to address high volumes of Patient Medical Advice Requests (PMARs). This study addresses whether LLMs can generate high quality draft responses to PMARs that satisfies both patients and clinicians with prompt engineering.

Materials and methods: We designed a novel human-involved iterative processes to train and validate prompts to LLM in creating appropriate responses to PMARs. GPT-4 was used to generate response to the messages. We updated the prompts, and evaluated both clinician and patient acceptance of LLM-generated draft responses at each iteration, and tested the optimized prompt on independent validation data sets. The optimized prompt was implemented in the electronic health record production environment and tested by 69 primary care clinicians.

Results: After 3 iterations of prompt engineering, physician acceptance of draft suitability increased from 62% to 84% (P <.001) in the validation dataset (N = 200), and 74% of drafts in the test dataset were rated as "helpful." Patients also noted significantly increased favorability of message tone (78%) and overall quality (80%) for the optimized prompt compared to the original prompt in the training dataset, patients were unable to differentiate human and LLM-generated draft PMAR responses for 76% of the messages, in contrast to the earlier preference for human-generated responses. Majority (72%) of clinicians believed it can reduce cognitive load in dealing with InBasket messages.

Discussion and conclusion: Informed by clinician and patient feedback synergistically, tuning in LLM prompt alone can be effective in creating clinically relevant and useful draft responses to PMARs.

目的:大语言模型(LLMs)已被提出作为解决大量患者医疗建议请求(PMARs)的解决方案。本研究探讨了大语言模型能否生成高质量的 PMAR 回复草稿,从而通过及时的工程设计满足患者和临床医生的需求:我们设计了一种新颖的人工参与迭代流程,用于训练和验证 LLM 在创建适当的 PMAR 回复时的提示。GPT-4 用于生成对信息的响应。我们更新了提示,并在每次迭代中评估了临床医生和患者对 LLM 生成的回复草案的接受程度,并在独立的验证数据集上测试了优化后的提示。优化后的提示在电子健康记录生产环境中实施,并由 69 名初级保健临床医生进行了测试:结果:经过 3 次提示工程迭代后,医生对草案适宜性的接受度从 62% 提高到 84%(P 讨论和结论:在临床医生和患者反馈的协同作用下,单独调整 LLM 提示可有效创建与临床相关且有用的 PMAR 回复草稿。
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引用次数: 0
The co-evolution of sustainable finance stakeholders under the EU taxonomy for sustainable activities: an exploratory study of Irish disclosure experiences 欧盟可持续活动分类法下可持续金融利益相关者的共同演变:对爱尔兰披露经验的探索性研究
IF 5.2 4区 管理学 Q1 BUSINESS, FINANCE Pub Date : 2024-07-18 DOI: 10.1108/sampj-11-2023-0842
Dylan Kirby, Cormac Hugh MacMahon, Sandra Thompson
PurposeIn pursuit of objectives, under the European Green Deal, to channel capital flows to sustainable activities, the EU Taxonomy offers clarity, labelling real economic activities as “sustainable”, based on technical screening criteria. This study of disclosure experiences aims to explore the role of co-evolutionary relationships in the Taxonomy’s effectiveness.Design/methodology/approachCo-evolution theory implies a dynamic interplay among sustainable finance stakeholders (SFSs), through adjustment to, impact on and operationalisation of the Taxonomy. Corporate disclosure experiences, including those of financial institutions and related SFS experiences, may reveal co-evolutionary processes. With significant Undertakings for Collective Investment in Transferable Securities (UCITS) and Alternative Investment Funds (AIFs), Irish SFSs provide contextual insight. Semi-structured interviews with a purposive sample of Irish SFSs capture inaugural corporate Taxonomy disclosure experiences.FindingsA thematic analysis reveals six co-evolutionary processes that facilitate Taxonomy implementation in pursuit of policy objectives: [1] cross-functional reporting; [2] iterative pre-empting and addressing compliance issues; [3] regulation as a catalyst for co-evolution; [4] advanced capacity building; [5] stakeholder adaptation and [6] graduated use of ESG data. Implications for sustainability policy development and management are significant.Practical implicationsWhilst limited to just one EU jurisdiction, given limited prior empirical evidence for sustainable finance regulations from co-evolutionary perspectives, this study highlights a catalytic, yet precautionary role for co-evolution in their transformation effectiveness. As such, they must take account of their potential to stimulate co-evolution and to nurture it in pursuit of their policy objectives.Social implicationsThe findings of this study add to a small, but growing body of academic literature on the Taxonomy Regulation, which suggests that a co-evolutionary lens is important for gaining a comprehensive understanding of its early-stage dynamics. From an implementation perspective, the qualitative data reveals actionable implications for regulators and policymakers, such as building capacity, better anticipation of outcomes and investment in data infrastructure.Originality/valueUnlike existing analyses of disclosures, this study offers a co-evolutionary lens on Taxonomy contributions to sustainable development through qualitative accounts.
目的 为实现欧洲绿色交易的目标,引导资本流向可持续活动,欧盟分类标准提供了清晰度,根据技术筛选标准将实体经济活动标记为 "可持续"。这项关于信息披露经验的研究旨在探索共同演化关系在分类标准有效性中的作用。设计/方法/途径共同演化理论意味着可持续金融利益相关者(SFSs)之间通过对分类标准的调整、影响和操作进行动态的相互作用。企业披露经验,包括金融机构的披露经验和可持续金融利益相关者的相关经验,可能会揭示共同演化过程。爱尔兰的可转让证券集体投资基金 (UCITS) 和另类投资基金 (AIF) 规模庞大,爱尔兰的 SFS 可为我们提供深入的背景信息。专题分析揭示了六个共同演进过程,这些过程促进了《分类标准》的实施,以实现政策目标:[1] 跨职能报告;[2] 反复预防和解决合规问题;[3] 监管作为共同发展的催化剂;[4] 先进的能力建设;[5] 利益相关者的适应;[6] 逐步使用 ESG 数据。本研究对可持续发展政策的制定和管理具有重要意义。实践意义虽然本研究仅限于欧盟的一个司法管辖区,但由于之前从共同演化的角度对可持续金融监管的经验证据有限,本研究强调了共同演化在其转型有效性中的催化剂作用,但同时也具有预防作用。因此,这些法规必须考虑到其激发共同演化的潜力,并在追求政策目标的过程中培育共同演化。 社会影响本研究的发现为有关《分类法规》的少量但不断增加的学术文献增添了新的内容,这些文献表明,共同演化的视角对于全面了解其早期动态非常重要。从实施的角度来看,定性数据揭示了对监管者和政策制定者的可操作性影响,例如能力建设、更好地预测结果以及对数据基础设施的投资。原创性/价值与现有的信息披露分析不同,本研究通过定性叙述提供了一个共同演化的视角,说明《分类标准》对可持续发展的贡献。
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引用次数: 0
Bright and Dark Imagining: How Creators Navigate Moral Consequences of Developing Ideas for Artificial Intelligence 光明与黑暗的想象:创造者如何应对开发人工智能创意的道德后果
IF 10.5 1区 管理学 Q1 BUSINESS Pub Date : 2024-07-18 DOI: 10.5465/amj.2022.0850
Lydia Paine Hagtvedt, Sarah Harvey, Ozumcan Demir-Caliskan, Henrik Hagtvedt
Academy of Management Journal, Volume 0, Issue ja, -Not available-.
管理学院学报》,第 0 卷,第 ja 期,-Not available-。
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引用次数: 0
The Psychological Design of Firm Boundaries: Preempting Escalating Commitment through Buy Vs. Make 公司边界的心理设计:通过 "买 "与 "做 "防止承诺升级
IF 10.5 1区 管理学 Q1 BUSINESS Pub Date : 2024-07-18 DOI: 10.5465/amj.2022.0730
D. Daniel Keum
Academy of Management Journal, Volume 0, Issue ja, -Not available-.
管理学院学报》,第 0 卷,第 ja 期,-Not available-。
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引用次数: 0
An exploration of PR Week UK’s framing of specialist PR identities (1985–2010) 探索英国公关周刊对专业公关身份的塑造(1985-2010 年)
IF 4.1 3区 管理学 Q2 BUSINESS Pub Date : 2024-07-18 DOI: 10.1016/j.pubrev.2024.102468

A trend of increased specialisation in public relations has been widely asserted but little substantiated. Specifically, there is no longitudinal study of the development of specialist coverage in the principal trade journal of the industry, PR Week. Neither has there been an exploration of the perspectives of PR Week UK’s senior managers on specialist-practitioner identities. This article seeks to fill these gaps.

This examination of specialist coverage in PR Week 1985–2010 finds a punctuated process of constructing specialist practitioner identities within an institutional subsystem. We examine over 220 editions of PR Week, in the UK, over a 26-year period. We calculate that there was indeed a statistically significant trend of published regular specialist pages.

We analysed editorial announcements about regular specialist pages and interviewed three former senior managers from PR Week. We considered page titles as both content and discourse. We also adapted Bucher et al.’s (2016) framing strategies. In doing so, we revised one of Bucher et al.’s strategies, re-terming the ‘self-casting’ strategy as a media casting strategy in the context of a trade publication’s framing of a profession’s boundaries.

Building on the scholarship of Edwards and Pieczka (2013), we suggest that the trade media play an institutional role in boundary setting. A trade publication's role in the promotion of jurisdictions was, and has not been, previously ascribed by Abbott (1988) or Waisbord (2019). We newly find that when PR Week introduced specialist pages, the publication’s executive actively sought to bring sector-specialist practitioners, with waning identification with the profession, back into the PR fold. Like a sheepdog, PR Week played a proactive institutional role in the professional reframing of public relations around specialisms. Yet the boundaries that PR Week defended were fuzzy given that over 95% of the regular specialist pages titles did not include the name ‘PR’. We also argue, that in establishing the specialist pages PR Week executives not only championed PR’s legitimacy, but also sought to protect the magazine’s market and to enhance the title’s journalistic brand.

公共关系日益专业化的趋势已经被广泛证实,但却鲜有证据。具体来说,对于公共关系行业的主要期刊《公共关系周报》上专业报道的发展并没有纵向研究。英国《公共关系周报》的高级经理们对专业从业者身份的看法也没有进行过探讨。本文试图填补这些空白。本文对《公关周刊》1985-2010 年的专家报道进行了研究,发现在一个机构子系统中,专家从业者身份的构建过程是一个点缀性的过程。我们研究了英国 26 年间超过 220 期的《公关周刊》。我们分析了有关定期专业版面的编辑公告,并采访了《公关周刊》的三位前高级经理。我们将页面标题视为内容和论述。我们还采用了 Bucher 等人(2016 年)的框架策略。在此过程中,我们对 Bucher 等人的策略之一进行了修订,将 "自我塑造 "策略重新命名为媒体塑造策略,其背景是行业出版物对某一行业边界的框定。Abbott (1988)和 Waisbord (2019)之前都未对行业出版物在促进司法管辖区方面的作用进行过论述。我们新近发现,当《公关周刊》推出专业版面时,该刊物的管理者积极寻求将对公关行业认同感减弱的行业专家从业者拉回公关行业。像牧羊犬一样,《公共关系周报》在围绕专业性的公共关系职业重构中扮演了积极的机构角色。然而,《公关周刊》所捍卫的界限是模糊的,因为超过 95% 的常规专业页面标题都不包括 "公关 "这个名称。我们还认为,《公关周刊》的高管们在设立专业版面时,不仅捍卫了公关的合法性,还试图保护杂志的市场,提升杂志的新闻品牌。
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期刊
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