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This paper aims to focus on the relation between digital transformation and banks’ reputation, as examined through the information disclosed by the five largest Italian banking groups’ efforts to extend and enhance their digital resources. Considering digitalization as a key strategy for managing reputation, which, in turn, can leverage financial and value performance management, the paper investigates whether and how digital activities might affect banks’ reputation. Therefore, this paper proposes the relationship between digitalization and reputation as a lever for performance management and for increasing efficiency.

The authors use content analysis to generate a digital disclosure index, categorizing activities human, structural and relational. For banks’ reputations, the proxies are a measure of corporate reputation and a reputational risk index. Methodologically the study used multiple case studies, considered as particularly suitable to gain an in-depth understanding of the topic in the case of the five banks. A collection of secondary data and semi-structured interviews are included.

Overall, the digitalization-reputation link shows that banks’ reputation is variously affected, not only by exposure to risk (including reputational risk) but also by strategic issues such as digitalization and the effectiveness of the corresponding communication. Consequently, banks should view digitalization as a key driver to be considered not in a stand-alone perspective, but in a combined approach.

Continued research should include the Covid-19 implications. Additionally, it would be important to compare a larger number of banks, with different characteristics, also including variables indicating the corporate governance mechanisms.

The analysis contributes to fostering scholars’ and practitioners’ management of the digital transformation challenge that is a current key-factor, capable of increasing banks’ value. It considers not only the drivers directly affecting monetary value but also the institutions’ social and relational value, as well as their reputation.

This paper extends prior research on the digitalization-reputation relation by investigating digital transformation through disclosure of activities in this area within the Italian banking sector. It allows to leverage the key-factors that can contribute to increasing banks’ value, considering not only the drivers directly affecting monetary value but also the institutions’ social and relational value, as well as their reputation.

Guided by the growing importance of social-mediated organisational communication, this study examines how communication professionals within healthcare organisations perceive and respond to the reputation impacts of social media on the organisation’s reputation. Although the healthcare sector finds itself in the midst of a (continually) transforming landscape characterised by large amounts of digital health (mis)information and an empowered “patient-as-consumer”, little is known about how professionals in this sector understand the changes and respond to them. Moreover, much extant scholarship on the topic is published in specialised health or medical journals and does not explicitly address the communication implications for healthcare organisations.

In-depth semi-structured interviews were conducted with communication professionals responsible for social media across eight hospitals in the Netherlands. The sample included two participants working as communication consultants/social media advisors for healthcare organisations. In all, 15 interviews were conducted.

Building on interviewee perspectives, the authors advance the CARE (Control, Access(ability), Responsive(ness) and Engagement) model of social-mediated communication, highlighting the dualistic characteristics of each dimension. This model is built upon a careful analysis of healthcare professional responses. In an always-on environment, understanding and managing the tensions within the authors’ model may be decisive to the reputation implications of social media use.

Understanding the tensions within each dimension lends a more nuanced perspective on the potential impact(s) of social media as experienced by professionals in the field. In shifting away from a binary, either/or approach, the paper contributes to explicating the complexities of a pervasive phenomenon (i.e. social-mediated communication) and its multifaceted impacts on the healthcare sector.

Although essential to social welfare, unpaid domestic and care work is an increasingly scarce resource in modern societies. Despite the growing need, many households refrain from outsourcing their domestic chores to the market. Simultaneously, the household service sector is mostly characterised by low-qualification, informal jobs lacking quality and professional standards. Drawing on transaction cost theory, the present study aims to examine how trust problems deriving from the quality and professionalisation of domestic services can be overcome by also exploring the role of state subsidies in this context.

A factorial survey experiment in Germany (N = 4024) causally explores the effect of state-subsidised service vouchers, quality signals and professionalisation on preferences and willingness-to-pay for domestic services. The data were analysed using multilevel modelling techniques.

Hypotheses are mostly confirmed: strong quality signals help overcome trust problems, thus facilitating the demand for household services. Further, service vouchers can generate better pay for domestic workers while simultaneously reducing the costs for households.

The relevance of professionalisation and quality of service as important determinants of domestic service demand is revealed. However, the experimental survey design involves hypothetical scenarios.

The analysis offers insights into how to stimulate demand for household services and increase formal employment in a sector currently largely characterised by informal arrangements. It further shows how social policies can help secure quality and foster professionalisation by shifting paid domestic work from the informal to the formal economy.

Although current research has investigated how open research data (ORD) are published, researchers' behaviour of ORD sharing on academic social networks (ASNs) remains insufficiently explored. The purpose of this study is to investigate the connections between ORDs publication and social activity to uncover data literacy gaps.

This work investigates whether the ORDs publication leads to social activity around the ORDs and their linked published articles to uncover data literacy needs. The social activity was characterised as reads and citations, over the basis of a non-invasive approach supporting this preliminary study. The eventual associations between the social activity and the researchers' profile (scientific domain, gender, region, professional position, reputation) and the quality of the ORD published were investigated to complete this picture. A random sample of ORD items extracted from ResearchGate (752 ORDs) was analysed using quantitative techniques, including descriptive statistics, logistic regression and K-means cluster analysis.

The results highlight three main phenomena: (1) Globally, there is still an underdeveloped social activity around self-archived ORDs in ResearchGate, in terms of reads and citations, regardless of the published ORDs quality; (2) disentangling the moderating effects over social activity around ORD spots traditional dynamics within the “innovative” practice of engaging with data practices; (3) a somewhat similar situation of ResearchGate as ASN to other data platforms and repositories, in terms of social activity around ORD, was detected.

Although the data were collected within a narrow period, the random data collection ensures a representative picture of researchers' practices.

As per the implications, the study sheds light on data literacy requirements to promote social activity around ORD in the context of open science as a desirable frontier of practice.

Researchers data literacy across digital systems is still little understood. Although there are many policies and technological infrastructure providing support, the researchers do not make an in-depth use of them.

The peer-review history for this article is available at: https://publons.com/publon/10.1108/OIR-05-2021-0255.

In the democratic digital environment, brand managers frequently deal with the unauthorized use of the brand by third parties. The phenomenon, known as brand hijacking, has been treated in different and sometimes conflicting ways in the academic and professional literature. The aim of this paper is to clarify the meaning of brand hijacking and to shed light on the various motivations and intentions underpinning the phenomenon.

A Delphi-based survey among both academic and professional experts was conducted to explore the key features of brand hijacking and expand existing theories.

The results of the Delphi survey enable the main brand hijacking actions to be mapped, based on two motivational axes (utilitarian–idealistic and destructive–constructive) and on the various intentions that guide the hijackers. The results help re-define the key elements of brand hijacking, through the lens of non-collaborative brand co-creation.

Managerial implications are presented in terms of the corporate response to the two main effects of hijacking, namely, brand reputational damage and brand repositioning.

The paper helps to shed light on the main components of brand hijacking, thus gaining expert consensus in refining the existent conceptualization in relation to a rapidly changing brand management scenario because of the gradual loss by brand managers of their traditional control.

Advances in Big Data, artificial Intelligence and data-driven innovation bring enormous benefits for the overall society and for different sectors. By contrast, their misuse can lead to data workflows bypassing the intent of privacy and data protection law, as well as of ethical mandates. It may be referred to as the ‘creep factor’ of Big Data, and needs to be tackled right away, especially considering that we are moving towards the ‘datafication’ of society, where devices to capture, collect, store and process data are becoming ever-cheaper and faster, whilst the computational power is continuously increasing. If using Big Data in truly anonymisable ways, within an ethically sound and societally focussed framework, is capable of acting as an enabler of sustainable development, using Big Data outside such a framework poses a number of threats, potential hurdles and multiple ethical challenges. Some examples are the impact on privacy caused by new surveillance tools and data gathering techniques, including also group privacy, high-tech profiling, automated decision making and discriminatory practices. In our society, everything can be given a score and critical life changing opportunities are increasingly determined by such scoring systems, often obtained through secret predictive algorithms applied to data to determine who has value. It is therefore essential to guarantee the fairness and accurateness of such scoring systems and that the decisions relying upon them are realised in a legal and ethical manner, avoiding the risk of stigmatisation capable of affecting individuals’ opportunities. Likewise, it is necessary to prevent the so-called ‘social cooling’. This represents the long-term negative side effects of the data-driven innovation, in particular of such scoring systems and of the reputation economy. It is reflected in terms, for instance, of self-censorship, risk-aversion and lack of exercise of free speech generated by increasingly intrusive Big Data practices lacking an ethical foundation. Another key ethics dimension pertains to human-data interaction in Internet of Things (IoT) environments, which is increasing the volume of data collected, the speed of the process and the variety of data sources. It is urgent to further investigate aspects like the ‘ownership’ of data and other hurdles, especially considering that the regulatory landscape is developing at a much slower pace than IoT and the evolution of Big Data technologies. These are only some examples of the issues and consequences that Big Data raise, which require adequate measures in response to the ‘data trust deficit’, moving not towards the prohibition of the collection of data but rather towards the identification and prohibition of their misuse and unfair behaviours and treatments, once government and companies have such data. At the same time, the debate should further investigate ‘data altruism’, deepening how the increasing amounts of data in our society can be concretely used for public good and the best implementation modalities.

This paper aims to systematically unpack the ideal of organizational transparency by tracing the concept's origins in the era of Enlightenment. Based on a genealogical reconstruction, the article explores different transparency understandings in key areas of online public relations (PR) and discusses the opportunities and challenges they present for the field.

This is a conceptual paper that unfolds a genealogical reconstruction to uncover different transparency ideals of modernity. These perspectives are then transferred to the field of online PR to discuss their ethical and practical implications in the context of digitalization.

Claims for transparency manifest in three distinct ideals, namely normative, instrumental and expressive transparency, which are also pursued in online PR. These ideals are related to associated concepts, like dialogue, control and authenticity, which serve as transparency proxies. Moreover, each transparency ideal inherits an ambivalence that presents unique opportunities and challenges for PR practitioners.

Instead of an unquestioned belief in the ideal of organizational transparency, the paper urges communication practitioners to critically reflect on the ambivalent nature of different transparency regimes in the context of digitalization and provides initial recommendations on how to manage digital transparency in online PR responsibly.

The paper contributes to the vivid debate surrounding organizational transparency in the context of digitalization by offering a novel and systematic analysis of the multifaced concept of transparency while opening new research avenues for further conceptual and empirical research.

The purpose of this paper is to elaborate the significance of safeguards in digital ecosystems and their role in generating trust among participants. This paper argues that the right mix and number of safeguards are crucial for an ecosystem’s growth and success. It offers ecosystem orchestrators concrete guidelines for how to implement and monitor safeguards.

This research is based on both consulting experience and publicly available information on several digital ecosystems.

This research conceptualizes safeguards as precautionary mechanisms that mandate or promote desirable behavior in an effort to engender trust among ecosystem participants. Safeguards can take various forms, including passwords, escrow, user privacy controls, ratings and reviews and policies and contracts. Striking the right balance of safeguards – neither too few nor too many – is crucial for ecosystem orchestrators. This paper identifies the factors that determine the optimal mix of safeguards, including the power asymmetry between sellers and buyers, the sophistication of participants, the nature of transactions, the cost of negative outcomes and the cost-benefit tradeoff.

To the best of the authors’ knowledge, this study is one of the first to illuminate the relationship between safeguards and trust in the context of digital ecosystem. It is also one of the few attempts to provide managerial guidance for ecosystem designers trying to structure their platform for trust.