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This study aims at proposing and testing a model delineating how and when the quality of a special B2B professional service, investment relations (IR), would drive corporate intangible value.

This study employs a proprietary dataset on voting records of an annual investment relations (IR) awards event and the corresponding company-level archival data for analysis. Regression analysis is used to test hypotheses.

IR service quality not only directly enhances corporate intangible value, but also indirectly boosts it via information transparency. While competitive intensity does not moderate the relationship between IR service quality and corporate intangible value, its moderating effect on the relationship between information transparency and this value is negative.

The findings advance academic understanding of the mechanism and boundary conditions underlying the complex and dynamic relationships among IR service quality, information transparency, corporate intangible value and competitive intensity. Future research endeavors to verify the present findings in other service and/or geographic settings would help establish their external validity.

The findings advise companies to expand the traditional role of IR by taking it as a powerful communication and relationship marketing tool to improve their visibility and attract investors.

The findings suggest that superior IR service would strengthen the company’s social bonding with institutional investors and effectively signal to them its commitment to good corporate governance practices.

Matching a proprietary dataset on IR voting records with the corresponding company-level archival data over a five-year period to investigate the performance implications of IR service quality within the Hong Kong context rectifies methodological limitation and geographic confinement of prior IR research.

Social movement scholars use protest events as a way to quantify social movements and have most often used large, national newspapers to identify those events. This has introduced known and unknown biases into our measurement of social movements. We know that national newspapers tend to cover larger and more contentious events and organizations. Protest events are furthermore a small part of what social movements actually do. Without other readily available options to quantify social movements, however, big-N studies have continued to focus on protest events via a few large newspapers. With advances in digitized data and computational methods, we now no longer have to rely on large newspapers or focus only on protests to quantify important aspects of social movements. In this paper, we use the environmental movement as a case study, analyzing data from a wide range of local, regional, and national newspapers in the United States to quantify multiple facets of social movements. We argue that the incorporation of more data and new methods to quantify information in text has the potential to transform the way we both conceive of and measure social movements in three ways: (1) the type of focal social movement organization included, (2) the type of tactics and issues covered, and (3) the ability to go beyond protest events as the primary unit of analysis. In addition to demonstrating ways that the focus on counting protest events has introduced specific biases in the type of tactics, issues, and organizations covered in social movement research, we argue that computational methods can help us extract and count meaningful aspects of social movements well beyond event counts. In short, the infusion of new data and methods into social movements, peace, and conflict studies could lead us to a substantial shift in the way we quantify social movements, from protest events to everything that occurs outside of them.

The purpose of this study is to introduce new tools to develop a more precise and focused bibliometric analysis on the field of digitalization in healthcare management. Furthermore, this study aims to provide an overview of the existing resources in healthcare management and education and other developing interdisciplinary fields.

This work uses bibliometric analysis to conduct a comprehensive review to map the use of the unified theory of acceptance and use of technology (UTAUT) and the unified theory of acceptance and use of technology 2 (UTAUT2) research models in healthcare academic studies. Bibliometric studies are considered an important tool to evaluate research studies and to gain a comprehensive view of the state of the art.

Although UTAUT dates to 2003, our bibliometric analysis reveals that only since 2016 has the model, together with UTAUT2 (2012), had relevant application in the literature. Nonetheless, studies have shown that UTAUT and UTAUT2 are particularly suitable for understanding the reasons that underlie the adoption and non-adoption choices of eHealth services. Further, this study highlights the lack of a multidisciplinary approach in the implementation of eHealth services. Equally significant is the fact that many studies have focused on the acceptance and the adoption of eHealth services by end users, whereas very few have focused on the level of acceptance of healthcare professionals.

To the best of the authors’ knowledge, this is the first study to conduct a bibliometric analysis of technology acceptance and adoption by using advanced tools that were conceived specifically for this purpose. In addition, the examination was not limited to a certain era and aimed to give a worldwide overview of eHealth service acceptance and adoption.

The purpose of this qualitative research study is to explore health-care providers’ perspectives and experiences with a specific focus on supports reported to be effective during the COVID-19 pandemic. The overarching goal of this study is to inform leaders and leadership regarding provision of supports that could be implemented during times of crisis and in the future beyond the pandemic.

Data were collected by semi-structured, conversational interviews with a sample of 33 health-care professionals, including Registered Nurses, Nurse Practitioners, Registered Psychologists, Registered Dieticians and an Occupational Therapist.

Three major themes emerged from the interview data: (1) professional and personal challenges for health-care providers, (2) physical and mental health impacts on health-care providers and (3) providing supports for health-care providers. The third theme was further delineated into three sub-theses: formal resources and supports, informal resources and supports and leadership strategies.

Health-care leaders are advised to pay attention to the voices of the people they are leading. It is important to know what supports health-care providers need in times of crisis. Situating the needs of health-care providers in the Carter and Bogue Model of Leadership Influence for Health Professional Wellbeing (2022) can assist leaders to deliberately focus on aspects of providers’ wellbeing and remain cognizant of the supports needed both during a crisis and when circumstances are unremarkable.

This study explores the benefits of accreditation from the Commission on Accreditation for Law Enforcement Agencies (CALEA), according to those who are engaged in the practice.

The authors collected data through open-ended, semi-structured telephone interviews. The authors analyzed the data using an inductive methodology.

The authors found that CALEA police accreditation enhances organizational learning through the development of knowledge brokers, the creation of communities of practice, support for knowledge repositories, support for knowledge managers and greater levels of transparency.

This qualitative study, which focuses on the perceptions and experiences of those involved in the CALEA process, provides a valuable complement to the quantitative literature on accreditation by shedding light on the organizational learning resulting from accreditation.