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Enthusiasm for hosting mega sport events has been dampened mainly due to the opposition of local communities. Although the use of public relations that aims for two-way communication to build mutual understanding and the long-term relationship could be an effective tool in diminishing the opposition, little research exists that interprets the social concern with public relations theoretical lens. In this light, the primary purpose of the present study was to conceptualise government-public relationships in the context of mega sport events and to develop a valid and psychometrically sound scale to measure the relationship quality between two entities.

An initial pool of 23 potential government-public relationship items was drawn through item generation processes, including research synthesis and content validity. Then, this study collected 254 respondents via online surveys and split the total sample into two sets for exploratory factor analysis and (n = 127) and confirmatory factor analysis (n = 127).

As a result, the scale of the government-public relationships consists of 17 items representing three dimensions: control mutuality, trust and satisfaction.

The developed government-public relationship scale furnishes event marketers and researchers with a solid framework and a measurement tool for empirical examinations. The current research reveals that the dimensionality, reliability and validity of the three latent government-public relationships dimensions are satisfactory while failing to meet the general consensus that commitment is an important dimension of the existing organisation-public relationships scale.

I examine patterns of making or deferring strategic repatriations that firms can use to either meet analysts' forecasts or defer to maintain future reported earnings flexibility. First, I examine the extent to which firms repatriate earnings from high foreign tax subsidiaries to decrease US tax expense, resulting in increased net income and lower cash taxes. Using federal tax return information, I find evidence that firms strategically repatriate these earnings to meet or beat current analysts' forecasts. Next, I find evidence that firms that are able to obtain current year tax reductions defer these repatriations in an attempt to build cookie-jar reserves. Lastly, I find that firms do not disclose high foreign tax repatriations (HTRs), even when required by SEC rules. This study contributes to the earnings management, tax avoidance, and disclosure literature by examining a discretionary tax planning strategy.

Through the lens of Conservation of Resources (COR) theory, this study explores how remote working inhibits employee engagement. The authors offer a fresh perspective on the most salient work- and nonwork-related risk factors that make remote working particularly challenging in the context of Covid-19.

The authors use data from semi-structured interviews with 32 employees working from home during the Covid-19 lockdown. Based on the interpretivist philosophical approach, the authors offer new insights into how employees can optimize work- and nonwork-related experiences when working remotely.

The authors show that the sudden transition from in-person to online modes of working during the pandemic brought about work intensification, online presenteeism, employment insecurity and poor adaptation to new ways of working from home. These stress factors are capable of depleting vital social and personal resources, thereby impacting negatively on employee engagement levels.

Employers, leaders and human resource teams should be more thoughtful about the risks and challenges employees face when working from home. They must ensure employees are properly equipped with the relevant resources and support to perform their jobs more effectively.

While previous research has focused on the benefits of remote working, the current study explores how it might be detrimental for employee engagement during a pandemic. The study provides new evidence on the most salient risks and challenges faced by remote workers, and how the unique Covid-19 context has made them more pronounced.

Intensive support teams (ISTs) are often poorly understood, despite reports of their effectiveness in managing behaviour that challenges for individuals with an intellectual disability. This paper aims to contribute to the understanding of ISTs through evaluating one IST’s process and their use of positive behaviour support (PBS) as an intervention.

Participants were obtained from the ISTs discharge database, and pre- and post-intervention data from these participants was used for analysis.

Three-paired sample t-tests found that there were significant differences between pre- and post-scores on the behaviour problem inventory, Health of the Nation Outcomes Scale for people with Learning Disabilities and periodic service reviews, which measure quality of targeted, individualised support. This indicates that challenging behaviour frequency and severity were lower post-intervention, quality of life improved post-intervention and staff teams implemented recommended strategies more consistently by the end of the intervention.

This service evaluation captured data over seven-year period, which helps to contribute to the understanding of the effectiveness of ISTs and the PBS framework.

The interview traces the early discussions in the context of disasters as developmental failures.

The transcript and video was developed in the context of a United Nations Office for Disaster Risk Reduction (UNDRR) project on the history of DRR.

The interview traces the development of disaster risk reduction discussions in different contexts such as “LA RED” network in Latin America.

The interview clearly highlights the need to not forget the early thoughts on vulnerability and disaster risk.

This study investigates whether the underrepresentation of women in executive-level roles within the supply chain management (SCM) field is justified or the result of gender injustices. The analysis examines if there is a gender compensation gap within executive-level SCM roles and whether performance differences or other observable factors explain disparities.

Publicly reported executive compensation and financial data are merged to empirically test if gender differences exist and investigate whether the underrepresentation of women in executive-level SCM roles is unjust.

Women occupy only 6.29% of the positions in the sample of 447 SCM executives. Unlike prior studies, we find that women executives receive higher compensation. The analysis does not identify observable factors explaining the limited inclusion of women in top-level roles, suggesting that gender injustices are prevalent in SCM.

This study only considers observable factors and cannot conclusively determine if discrimination is occurring. The low level of inclusion of women in executive roles suggests that gender injustice is intrinsic within the SCM profession. These findings will hopefully motivate firms to undertake transformative actions that result in outcomes that advance gender equity, ultimately leading to social justice for female SCM executives.

The use of social justice and feminist theories, a focus on SCM roles, and an empirical methodology utilizing objective measures represents a novel approach to investigating gender discrimination in SCM organizations, complementing prior survey-based studies.

Digital transformations are altering service models and care delivery methods in healthcare. Artificial Intelligence (AI) represents the next wave of transformation in healthcare. This study aims to understand patient perceptions of AI and its impact on value co-creation.

A conceptual model was developed to investigate how value co-creation operant resources (digital self-efficacy and relational service quality) impact value co-creation engagement (shared decision-making) and value co-creation outcomes (anticipatory AI value co-creation and intention to adopt AI). Data were collected from 332 respondents and analyzed using structural equation modeling.

The results indicate that the value co-creation process for AI technologies is a function of inputs, experiences and AI outputs. Operant resources were found to be positively associated with shared decision-making. However, not all operant resources directly and positively impacted AI outcomes. The indirect and positive mediated relationships through shared decision-making to AI outcomes suggest an interactive AI value co-creation process.

AI technologies are still in early stages of consumer adoption in healthcare. Future research is warranted that investigates the validity of the model through maturing service life cycles.

Customer perceptions of new digital innovations are formed in the context of previous digital experiences. Marketers need to understand how customers view their current non-AI technologies. Strong engagement and perceived value of current technologies will help ease customers into the usage of AI technologies.

This study investigates the unique stages of the value co-creation process for AI technologies in healthcare. The results demonstrate that the value co-creation process is a function of inputs, tech-enabled experiences and AI outputs.

Artificial intelligence (AI) is transforming consumers' experiences and how firms identify, create, nurture and manage interactive marketing relationships. However, most marketers do not have a clear understanding of what AI is and how it may mutually benefit consumers and firms. In this paper, the authors conduct an extensive review of the marketing literature, develop an AI framework for understanding value co-creation in interactive buyer–seller marketing relationships, identify research gaps and offer a future research agenda.

The authors first conduct an extensive literature review in 16 top marketing journals on AI. Based on this review, an AI framework for understanding value co-creation in interactive buyer–seller marketing relationships was conceptualized.

The literature review led to a number of key research findings and summary areas: (1) an historical perspective, (2) definitions and boundaries of AI, (3) AI and interactive marketing, (4) relevant theories in the domain of interactive marketing and (5) synthesizing AI research based on antecedents to AI usage, interactive AI usage contexts and AI-enabled value co-creation outcomes.

This is one of the most extensive reviews of AI literature in marketing, including an evaluation of in excess or 300 conceptual and empirical research. Based on the findings, the authors offer a future research agenda, including a visual titled “What is AI in Interactive Marketing? AI design factors, AI core elements & interactive marketing AI usage contexts.”

This paper aims to present a literature review of remote monitoring systems for water infrastructure in the Global South.

Following initial scoping searches, further examination was made of key remote monitoring technologies for water infrastructure in the Global South. A standard literature search methodology was adopted to examine these monitoring technologies and their respective deployments. This hierarchical approach prioritised “peer-reviewed” articles, followed by “scholarly” publications, then “credible” information sources and, finally, “other” relevant materials. The first two search phases were conducted using academic search services (e.g. Scopus and Google Scholar). In the third and fourth phases, Web searches were carried out on various stakeholders, including manufacturers, governmental agencies and non-governmental organisations/charities associated with Water, Sanitation and Hygiene (WASH) in the Global South.

This exercise expands the number of monitoring technologies considered in comparison to earlier review publications. Similarly, preceding reviews have largely focused upon monitoring applications in sub-Saharan Africa (SSA). This paper explores opportunities in other geographical regions and highlights India as a significant potential market for these tools.

This review predominantly focuses upon information/data currently available in the public domain.

Remote monitoring technologies enable the rapid detection of broken water pumps. Broken water infrastructure significantly impacts many vulnerable communities, often leading to the use of less protected water sources and increased exposure to water-related diseases. Further to these public health impacts, there are additional economic disadvantages for these user communities.

This literature review has sought to address some key technological omissions and to widen the geographical scope associated with previous investigations.