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Drawing on attribution theory, the current paper aims to examine the effects of review content structures on online review helpfulness, focusing on three pertinent variables: review sidedness, information factuality, and emotional intensity at the beginning of a review. Moreover, the moderating roles of reviewer reputation and review sentiment are investigated.

The review sentiment of 144,982 online hotel reviews was computed at the sentence level by considering the presence of adverbs and negative terms. Then, the authors quantified the impact of variables that were pertinent to review content structures on online review helpfulness in terms of review sidedness, information factuality and emotional intensity at the beginning of a review. Zero-inflated negative binomial regression was employed to test the model.

The results reveal that review sidedness negatively affects online review helpfulness, and reviewer reputation moderates this effect. Information factuality positively affects online review helpfulness, and positive sentiment moderates this impact. A review that begins with a highly emotional statement is more likely to be perceived as less helpful.

Using attribution theory as a theoretical lens, this study contributes to the online customer review literature by investigating the impact of review content structures on online review helpfulness and by demonstrating the important moderating effects of reviewer reputation and review sentiment. The findings can help practitioners develop effective review appraisal mechanisms and guide consumers in producing helpful reviews.

The nonconsensual taking or sharing of nude or sexual images, also known as “image-based sexual abuse,” is a major social and legal problem in the digital age. In this chapter, we examine the problem of image-based sexual abuse in the context of digital platform governance. Specifically, we focus on two key governance issues: first, the governance of platforms, including the regulatory frameworks that apply to technology companies; and second, the governance by platforms, focusing on their policies, tools, and practices for responding to image-based sexual abuse. After analyzing the policies and practices of a range of digital platforms, we identify four overarching shortcomings: (1) inconsistent, reductionist, and ambiguous language; (2) a stark gap between the policy and practice of content regulation, including transparency deficits; (3) imperfect technology for detecting abuse; and (4) the responsibilization of users to report and prevent abuse. Drawing on a model of corporate social responsibility (CSR), we argue that until platforms better address these problems, they risk failing victim-survivors of image-based sexual abuse and are implicated in the perpetration of such abuse. We conclude by calling for reasonable and proportionate state-based regulation that can help to better align governance by platforms with CSR-initiatives.

The practice of frontline employees articulating their brand voice and posting work-related content on social media has emerged; however, employee brand equity (EBE) research has yet to be linked to employees’ social media activity. This paper aims to take a methods-based approach to better understand employees’ roles as influencers. As such, its objective is to operationalize and apply the three EBE dimensions – brand consistent behavior, brand endorsement and brand allegiance – using Instagram data.

This qualitative research uses a case study of employee influencers at SoulCycle, a leading North American fitness company and examines 100 Instagram images and 100 captions from these influential employees to assess the three EBE dimensions.

Brand consistent behavior (what employees do) was the most important EBE dimension indicating that employees’ social media activities align with their employer’s values. Brand allegiance (what employees intend to do in the future) whereby employees self-identify with their employer on social media, followed. Brand endorsement (what employees say) was the least influential of the three EBE dimensions, which may indicate a higher level of perceived authenticity from a consumer perspective.

This research makes three contributions. First, it presents a novel measure of EBE using public Instagram data. Second, it represents a unique expansion and an evolution of King et al.’s (2012) model. Third, it considers employees’ work-related content on social media to understand employees’ role as influencers and their co-creation of EBE, which is currently an under-represented perspective in the internal branding literature.

As the means and harms of technology-facilitated violence have become more evident, some governments have taken steps to create or empower centralized bodies with statutory mandates as part of an effort to combat it. This chapter argues that these bodies have the potential to meaningfully further a survivor-centered approach to combatting technology-facilitated violence against women – one that places their experiences, rights, wishes, and needs at its core. It further argues that governments should consider integrating them into a broader holistic response to this conduct.

An overview is provided of the operations of New Zealand's Netsafe, the eSafety Commissioner in Australia, Nova Scotia's Cyberscan Unit, and the Canadian Centre for Child Protection in Manitoba. These types of centralized bodies have demonstrated an ability to advance survivor-centered approaches to technology-facilitated violence against women through direct involvement in resolving instances of violence, education, and research. However, these bodies are not a panacea. This chapter outlines critiques of their operations and the challenges they face in maximizing their effectiveness.

Notwithstanding these challenges and critiques, governments should consider creating such bodies or empowering existing bodies with a statutory mandate as one aspect of a broader response to combatting technology-facilitated violence against women. Some proposed best practices to maximize their effectiveness are identified.

The purpose of this paper is to present conceptual definitions for digital object use and reuse. Typically, assessment of digital repository content struggles to go beyond traditional usage metrics such as clicks, views or downloads. This is problematic for galleries, libraries, archives, museums and repositories (GLAMR) practitioners because use assessment does not tell a nuanced story of how users engage with digital content and objects.

This paper reviews prior research and literature aimed at defining use and reuse of digital content in GLAMR contexts and builds off of this group’s previous research to devise a new model for defining use and reuse called the use-reuse matrix.

This paper presents the use-reuse matrix, which visually represents eight categories and numerous examples of use and reuse. Additionally, the paper explores the concept of “permeability” and its bearing on the matrix. It concludes with the next steps for future research and application in the development of the Digital Content Reuse Assessment Framework Toolkit (D-CRAFT).

The authors developed this model and definitions to inform D-CRAFT, an Institute of Museum and Library Services National Leadership Grant project. This toolkit is being developed to help practitioners assess reuse at their own institutions.

To the best of the authors’ knowledge, this paper is one of the first to propose distinct definitions that describe and differentiate between digital object use and reuse in the context of assessing digital collections and data.

The aim of this article is to give an overview of the development and current state of projectification research. The inquiry was driven by a threefold research question: How has projectification been understood and defined over time, what has the trajectory of the development been and what are the main trends and emerging ideas?

The article is an integrative literature review of research done on the notion of projectification to date. An interdisciplinary, integrative literature review was conducted using Scopus and Web of Science as primary sources of data collection. The full data set consists of 123 journal articles, books, book chapters and conference contributions. With the data set complete, a thematic analysis was conducted.

Among other things, the review outlines the development and scope of projectification research from 1995 until 2021 and discusses four emerging images of projectification: projectification as a managerial approach, projectification as a societal trend, projectification as a human state and projectification as a philosophical issue. These characteristics emphasize some common features of each of the images but also imply that the way projectification is understood changes depending on the paradigmatic perspective taken by the researcher, the time and place in which the observation was made and the level of observation.

The authors have outlined and discussed four images of projectification – projectification as a managerial approach, projectification as a societal trend, projectification as a human state and projectification as a philosophical issue – where each image represents a special take on projectification with some prevalent characteristics. By doing this, the authors provide a systematic categorization of research to date and thus a basis upon which other researchers can build when furthering the understanding of projectification at large.

Both Hungary and Germany belong to the old-world wine-producing countries and have long winemaking traditions. This paper aims at exploring and comparing online branding strategies of family SME (small and medium sized enterprises) wineries at Lake Balaton (Hungary) and Lake Constance (Germany), as two wine regions with similar geographic characteristics.

This paper, based on a total sample of 37 family wineries, 15 at Lake Balaton and 22 at Lake Constance, investigates the differences in brand identity on the website, brand image in social media and online communication channels deployed in both wine regions. The study applies a qualitative methodology using MaxQDA software for conducting content analysis of texts in websites and social media. Descriptive statistics and t-test were conducted to compare the usage of different communication channels and determine statistical significance.

At Lake Balaton, the vineyard, the winery and the family, while at Lake Constance, the lake itself and the grape are highlighted regarding family winery brand identity. The customer-based brand image of Hungarian family wineries emphasizes wine, food and service, with the predominant use of Facebook. In the German family wineries, the focus of brand identity is on wine, friendliness and taste and includes more extensive usage of websites.

The paper deploys a novel methodology, both in terms of tools used as well as geographic focus to uncover online branding patterns of family wineries, thereby providing implications for wine and tourism industries at lake regions. It compares the share of selected most-used words in the overall text in websites and in social media, and presents the key findings from this innovative approach.

The Internet has changed consumer decision-making and influenced business behaviour. User-generated product information is abundant and readily available. This paper argues that user-generated content can be efficiently utilised for business intelligence using data science and develops an approach to demonstrate the methods and benefits of the different techniques.

Using Python Selenium, Beautiful Soup and various text mining approaches in R to access, retrieve and analyse user-generated content, we argue that (1) companies can extract information about the product attributes that matter most to consumers and (2) user-generated reviews enable the use of text mining results in combination with other demographic and statistical information (e.g. ratings) as an efficient input for competitive analysis.

The paper shows that combining different types of data (textual and numerical data) and applying and combining different methods can provide organisations with important business information and improve business performance.

The paper shows that combining different types of data (textual and numerical data) and applying and combining different methods can provide organisations with important business information and improve business performance.

The study makes several contributions to the marketing and management literature, mainly by illustrating the methodological advantages of text mining and accompanying statistical analysis, the different types of distilled information and their use in decision-making.

This article presented the results of studies that examined the appropriateness of the content, readability of printed learning materials and the effectiveness of external resources in ecology course offered at Universitas Terbuka. To integrate external resources, links to their websites were provided in the printed materials.

An in-depth interview with a content expert was employed to review the course content, while digital and printed learning materials were reviewed for readability and to determine the usefulness of the external resources. A total of 47 students completed surveys and a focus group discussion that included in-depth interviews were conducted with 21 selected students.

The results revealed that the content of ecology course was conceptually valid. However, two key aspects needed to be emphasized, including the application of ecology phenomena for further development of the science and its applications in real-life situations. Regarding readability, students stated that the course materials were easily comprehended. In terms of the benefit, 79% of the students found the external resources interesting and helpful in understanding the learning materials.

Printed learning materials were crucial for students, specifically those residing in remote areas. Therefore, the institution should ensure that the materials were high-quality, easy to comprehend and enriched with up-to-date content/materials through scannable links to external resources.

The value added to the findings of this study was that the provision of links to external resources within printed learning materials improves students' understanding of the course content.