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The purpose of this paper is to propose a research approach to investigate brand alignment by exploiting textual data from online brand communities in the coffee industry. Specifically, consumer brand associations from user-generated content (UGC) and company brand associations from firm-generated content (FGC) are explored to measure the alignment between brand identity and brand image. The selected context of research is the beverage industry wherein companies are called on to develop appropriate digital websites and brand communication strategies to enhance the consumers' brand experience.

The authors introduce a research approach that integrates netnography with text mining analysis. Since brand associations were the basis of the study’s analysis, the authors focused on text mining procedures, providing data (co-occurrences) corresponding to brand associations that consumers perceive and that the company communicates. Data were used to develop the measurements of brand alignment.

The main findings of this research highlight the importance for both scholars and practitioners of determining brand alignment of beverage products in online communities. Knowing the alignment between the way a company communicates its brand identity and how this is perceived by consumers allows for effectively reviewing brand communication.

Although the combined analysis of the alignment between brand image and brand identification has received attention in marketing literature, most scholars have neglected how to measure brand alignment. This is a need for many marketing managers in the coffee industry who are now moving in digital environments where the role of consumers is not that of receivers of brand communication but rather that of cocreators of brand value.

Critical infrastructures (CIs) for essential services such as water supply and electricity delivery are notoriously vulnerable to disruptions. While extant literature offers important insights into the resilience of CIs following large-scale disasters, our understanding of CI resilience to the more typical disruptions that affect CIs on a day-to-day basis remains limited. The present study investigates how the interorganizational (supply) network that uses and manages the CI can mitigate the adverse consequences of day-to-day disruptions.

Longitudinal archival data on 277 day-to-day disruptions within the Dutch national railway CI were collected and analyzed using generalized estimating equations.

The empirical results largely support the study’s predictions that day-to-day disruptions have greater adverse effects if they co-occur or are relatively unprecedented. The findings further show that the involved interorganizational network can enhance CI resilience to these disruptions, in particular, by increasing the overall level of cross-boundary information exchange between organizations inside the network.

This study helps managers to make well-informed choices regarding the target and intensity of their cross-boundary information-exchange efforts when dealing with day-to-day disruptions affecting their CI. The findings illustrate the importance of targeting cross-boundary information exchange at the complete interorganizational network responsible for the CI and to increase the intensity of such efforts when CI disruptions co-occur and/or are unprecedented.

This study contributes to our academic understanding of how network-level processes (i.e. cross-boundary information exchange) can be managed to ensure interorganizational (supply) networks’ resilience to day-to-day disruptions in a CI context. Subsequent research may draw from the conceptual framework advanced in the present study for examining additional supply network-level processes that can influence the effectiveness of entire supply networks. As such, the present research may assist scholars to move beyond a simple dyadic context and toward examining complete supply networks

Professionals working with community populations are often presented with complicated cases where it is difficult to determine which diagnosis or diagnoses are appropriate. Differentiating among neurodevelopmental disorders such as autism spectrum disorder (ASD), attention-deficit/hyperactivity disorder and intellectual disability can be a complex process, especially, as these disorders have some overlapping symptoms and often co-occur in young children. This series of case studies aims to present commonly overlapping symptoms in children who present to clinics with developmental concerns.

This paper presents three case studies that were completed at a free community ASD screening clinic in Southern California.

The case studies have common presenting behaviors and symptoms (e.g. social communication difficulties) that often co-occur across diagnoses; explanations for the final diagnoses are given in each case.

Conclusions from these three cases cannot generalize to all children being seen in clinics for neurodevelopmental concerns.

This series of case studies highlights commonly overlapping symptoms in children who present for differential diagnosis with social and/or behavioral concerns. Implications for educational placement and intervention are discussed.

These cases highlight the challenges involved in the differential and dual diagnostic process for young children with developmental concerns. Diagnostic considerations can affect later educational placement and opportunities for socialization.

This series of case studies provide practical information for clinicians about how to effectively differentiate between commonly occurring neurodevelopmental disorders, particularly given recent changes to the Diagnostic and Statistical Manual, 5th edition (DSM-5).

This study aims to investigate the factors that influence South African customers to potentially switch from one bank to another. Instead of using established models and survey techniques, the research measured social media sentiment to measure threats to switch.

The research involved a 12-month analysis of social media sentiment, specifically customer threats to switch banks (churn). These threats were then analysed for co-occurring themes to provide data on the reasons customers were making these threats. The study used over 1.7 million social media posts and focused on all five major South African retail banks (essentially the entire sector).

This study concluded that seven factors are most significant in understanding the underlying causes of churn. These are turnaround time, accusations of unethical behaviour, billing or payments, telephonic interactions, branches or stores, fraud or scams and unresponsiveness.

This study is unique in its measurement of unsolicited social media sentiment as opposed to most churn-related research that uses survey- or customer-data-based methods. In addition, this study observed the sentiment of customers from all major retail banks across 12 months. To date, no studies on retail bank churn theory have provided such an extensive perspective. The findings contribute to Susan Keaveney’s churn theory and provide a new measurement of switching threat through social media sentiment analysis.

Global evidence indicates that multiple structural, biological, and behavioural mechanisms link gender-based violence (GBV), HIV/HCV, and substance misuse among women and adolescent girls. The aim of this chapter is to briefly summarise and synthesise recent literature that examines the complex and bi-directional relationships among these epidemics in different populations of adolescent girls and women around the world. To inform this chapter, a selective search strategy was conducted, prioritising use of meta-analytic epidemiological studies and research on interventions and policies that address different aspects of the syndemic among women and girls who use drugs worldwide. The search targeted publications from 2015 to 2019 using PubMed, MEDLINE, and Google Scholar. The chapter highlights methodological and geographic gaps in existing policy, intervention, and implementation research and makes recommendations for strategies to tackle these gaps. It also identifies a continuum of multilevel evidence-based interventions that target the risk environments and key syndemic mechanisms linking these intersecting epidemics that have been found to be effective in reducing intimate partner violence and other forms of GBV, substance use, and HIV/HCV risks. This chapter also assesses inclusiveness of existing research and interventions for underserved and disproportionately affected populations, affecting adolescent girls, sexual minority women, and racial/ethnic minority women and identifies strategies to target gaps or disparities for these key affected populations. Finally, this chapter describes the gaps and opportunities that harm reduction programmes, medical settings, and other community organisations experience in implementing gender-responsive programmes and policies to redress these intersecting epidemics.

The aim is to expand the challenge-hindrance framework and develop a coherent theoretical framework that explains individual differences in the way small business owners appraise their job demands. Literature has shown that dealing effectively with job demands leads to competitive advantage and depends on individual appraisals.

For this qualitative study, 20 in-depth interviews were analyzed using a partially grounded theory approach.

Open and axial coding revealed a broader range of demands than have hitherto been studied, related to actions rather than job characteristics. Selective coding confirmed expectations based on the Conservation of Resources Theory that appraisals of demands differ between business owners and change over time depending on role identities, and material, social, personal and energy resource levels, via the valence (identities) and degree of anticipated outcomes. Business owners appraised certain demands as challenging when they were co-occurring with other demands usually categorized as challenges, whereas these same demands were appraised as hindering when co-occurring with demands usually categorized as hindrances.

The results imply that appraisals can be influenced by societal context, life events, processes of formal and informal learning, personal growth and aging. These topics would be interesting avenues for future research.

The results of this study challenge our understanding of job demands in general and current categorizations of job demands as challenges versus hindrances in specific, by providing an in-depth, contextualized and dynamic view of the appraisal of demands related to owning and running a business.

The possibility of recovery for persons with co-occurring addiction and mental health problems has been contested. Though, recent studies show that recovery might happen, but without connection to specific treatment interventions. The purpose of this paper is to analyse professionals’ perceptions of their contribution to improvement.

In all, 15 experienced professionals were interviewed. The interviews were analysed using thematic analysis.

Recovery processes were dependent of the persons’ access to different forms of recovery capital (RC). Lack of RC was often associated with lack of trust in one’s self and others (identity and personal capital). Professionals had to be accepted as trustful agents through co-creating changes in the person’s life. Trusting a professional might be a basis for trusting one’s self as an agent in one’s recovery process and develop a social network (identity and relationship capital). Other aspects stressed by the professionals were to manage their own fragmentized organisations and societal shortcomings (economic capital).

Recovery has been described as a profoundly individual journey. However, it is also deeply social, involving other persons and contextual factors. Focusing on just one level might counteract the complex work behind double recovery.

Improvement was described as dependent on the presence of personal, inter-personal, organisational and societal factors. The findings give a deep and concrete understanding of the process constituting the development of a working alliance and its dependence on factors outside the direct relation between the staff member and the person.

The circular economy business models (CEBMs) provide ways for firms operating in the construction industry to move from a linear to a circular approach. Thus, this study aims to explore CEBM research within the construction sector to show the focus area of studies, highlighting new areas that require attention.

This study adopted a bibliometric approach, using the Scopus database as the data source. The keywords used for paper extraction from the database were “circular economy business” OR “circular business” AND “model” OR “models” AND “construction industry” OR “building industry”. The VOSviewer software was then used to prepare a co-occurrence and co-authorship map based on the bibliographic data gathered.

The study’s findings reveal five research clusters in the construction industry. These clusters include circular construction intelligence, modular business modelling, eco-construction, sustainable construction economics and smart energy-efficient buildings. The two most cited scholars had two publications each, while the top journals are the Journal of Cleaner Production and Sustainable Production and Consumption. This study concludes that there is a need for research within the construction sector to focus on CEBMs’ archetypes and frameworks. This will enable a smooth transition from linear to circular business models in the sector.

The information was gathered from a single database, Scopus; hence, using other databases, including Web of Science, Google Scholar and Dimensions, might produce more articles for examination and, consequently, different findings on the subject under investigation.

These findings would assist researchers in considering the areas mentioned, which are yet to receive attention, and, by extension, enhance economic development while maintaining environmental sustainability.

This paper made a significant contribution to the body of knowledge by identifying scholars and platforms that have been instrumental in advancing CEBM research and highlighting new areas that require attention in the construction sector.

The study aims to explore the overall growth trend, top publishing countries, co-authorship and author keywords in the field of Industry 5.0.

This study presents the outcomes of a bibliometric analysis conducted using VOSviewer software. The analysis retrieved data from the Scopus database, including citations, co-authors, keywords, bibliometric coupling and co-occurrence.

The findings reveal a significant increase in publications and citations related to Industry 5.0 in recent years. China, the USA and India emerge as the leading countries driving research in this field. The co-authorship analysis indicates limited collaboration among authors, with only 48 out of 354 authors being linked through co-authorship. Through co-occurrence analysis, the investigation identifies the most frequently occurring keywords in the research, with “Industry 5.0” and “Industry 4.0” being the most frequently co-occurring keywords. The bibliographic coupling analysis identifies six clusters of research themes.

The study solely relies on data gathered from the Scopus database for analysis on a specific date. Therefore, data from other databases collected at different times may yield different observations and findings.

This study enhances the knowledge of professionals and academia in Industry 5.0, enabling the professionals to efficiently and sustainably manage the sector.

The bibliometric analysis presented in this study provides valuable insights into the contributions made by authors, keywords and co-authors to the field of Industry 5.0. Additionally, the thematic analysis summarized in this study is a novel contribution to the field.