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The primary objective of this paper is to show a systematic and methodological approach for the digitalization of critical clinical pathways (CPs) within the healthcare domain.

The methodology entails the integration of service design (SD) and action research (AR) methodologies, characterized by iterative phases that systematically alternate between action and reflective processes, fostering cycles of change and learning. Within this framework, stakeholders are engaged through semi-structured interviews, while the existing and envisioned processes are delineated and represented using BPMN 2.0. These methodological steps emphasize the development of an autonomous, patient-centric web application alongside the implementation of an adaptable and patient-oriented scheduling system. Also, business processes simulation is employed to measure key performance indicators of processes and test for potential improvements. This method is implemented in the context of the CP addressing transient loss of consciousness (TLOC), within a publicly funded hospital setting.

The methodology integrating SD and AR enables the detection of pivotal bottlenecks within diagnostic CPs and proposes optimal corrective measures to ensure uninterrupted patient care, all the while advancing the digitalization of diagnostic CP management. This study contributes to theoretical discussions by emphasizing the criticality of process optimization, the transformative potential of digitalization in healthcare and the paramount importance of user-centric design principles, and offers valuable insights into healthcare management implications.

The study’s relevance lies in its ability to enhance healthcare practices without necessitating disruptive and resource-intensive process overhauls. This pragmatic approach aligns with the imperative for healthcare organizations to improve their operations efficiently and cost-effectively, making the study’s findings relevant.

Rape culture, described as when “violence is seen as sexy and sexuality as violent” (Buchwald, Fletcher, & Roth, 1993, p. vii), exists online and offline (Henry & Powell, 2014). Much of the research on rape culture focuses on the experiences of heterosexual women, and few studies have explored rape culture in the context of dating apps. This chapter explores how men who have sex with men (MSM) understand and experience rape culture through their use of Grindr and similar dating apps. A thematic analysis of interviews with 25 MSM dating app users revealed problematic user behavior as well as unwanted sexual messages and images as common manifestations of rape culture on dating apps. Participants explained that rape culture extends beyond in-app interactions to in-person encounters, as evident by incidents of sexual violence that several participants had experienced and one participant had committed. Participants were unsure about the extent to which MSM dating apps facilitate rape culture but asserted that some apps enable rape culture more than others. This chapter demonstrates the importance of investigating sexual violence against people of diverse gender and sexual identities to ensure their experiences are not minimized, ignored, or rendered invisible.

This study aims to discuss how an online community interacts with a local community during the entrepreneurial process. By having a contextualized view of entrepreneurship, this study acknowledges the social and spatial dynamics of the process.

The inductive approach used in this study is empirically anchored in the case “the library revolt”. This paper analysed interviews conducted in a selected region in Sweden and followed a netnographic method to capture the social interactions online. By using qualitative modes of inquiry, this study attempts to illuminate the social aspects of the entrepreneurial process.

This study shows how social media works as a contextual element in entrepreneurship. By presenting interactions between an online community and a rural community, it is shown how entrepreneurial processes in rural areas can be shaped not only through local community relations but also by online interaction. It illustrates how an online context, where actors are located with their own unique set of resources, contributes to rural development. By being a part of an ongoing process of structuration, we can view the actors are gaining access to the resources online, which contributes to the change happening in a local community.

This study adds to the conversation of the role of context in entrepreneurship studies. Rural entrepreneurship largely discusses the local social bonds and actions, while this study includes the online social bonds as a part of the reality in which entrepreneurship is developed.

This study is motivated to provide a theoretically informed, data-driven assessment of the consequences associated with the participation of non-human bots in social accountability movements; specifically, the anti-inequality/anti-corporate #OccupyWallStreet conversation stream on Twitter.

A latent Dirichlet allocation (LDA) topic modeling approach as well as XGBoost machine learning algorithms are applied to a dataset of 9.2 million #OccupyWallStreet tweets in order to analyze not only how the speech patterns of bots differ from other participants but also how bot participation impacts the trajectory of the aggregate social accountability conversation stream. The authors consider two research questions: (1) do bots speak differently than non-bots and (2) does bot participation influence the conversation stream.

The results indicate that bots do speak differently than non-bots and that bots exert both weak form and strong form influence. Bots also steadily become more prevalent. At the same time, the results show that bots also learn from and adapt their speaking patterns to emphasize the topics that are important to non-bots and that non-bots continue to speak about their initial topics.

These findings help improve understanding of the consequences of bot participation within social media-based democratic dialogic processes. The analyses also raise important questions about the increasing importance of apparently nonhuman actors within different spheres of social life.

The current study is the first, to the authors’ knowledge, that uses a theoretically informed Big Data approach to simultaneously consider the micro details and aggregate consequences of bot participation within social media-based dialogic social accountability processes.

Previous studies have shown a link between mental health functioning and involvement in HIV risk practices. The present research examines how well one specific group of men who have sex with other men (MSM) fare in terms of their mental health functioning, and then focuses on how mental health functioning relates to HIV risk practices in this population. The study was based on a national random sample of 332 MSM who use the Internet to seek men with whom they can engage in unprotected sex. Data collection was conducted via telephone interviews between January 2008 and May 2009. Depression is more common among men in this population than in the adult male population-at-large. All other measures of mental health functioning that were examined (self-esteem, impulsivity, current life satisfaction, optimism about the future) indicated low rates of mental health problem. Contrary to expectations, in nearly all instances, mental health functioning was not related to HIV risk practices.

More work needs to be done to understand the causes of depression among these men, and to assess how, if at all, depression relates to risk practices in this population. These findings suggest that factors other than mental health problems must be considered if one wishes to understand HIV risk taking in this population.

This paper aims to examine the presence of impulsive and compulsive buying among consumers. It studies the various factors that affect and moderate the impulsiveness and compulsiveness of buying.

Literature review resulted in four constructs – social media influence, social media preferences, hedonic motivation and shop in COVID-19. On conducting factor analysis in statistical package for the social sciences, the variables were divided under the influence of social media, social commerce, electronic word of mouth (EWOM) of social commerce, hedonic happiness, hedonic fun and shopping in times of COVID-19. Structural equation modeling is conducted in AMOS (statistical software) for a diagrammatic representation of the relationship between the variables. Regression analysis is used to re-affirm the above relationship. Testing of hypotheses is done with the help of the chi-square test.

All six latent variables are significantly related to impulsive and compulsive buying. However, the regression analysis shows social media influence as the strongest predictor for impulse buying and hedonic happiness for compulsive buying. Also, the presence of the pandemic COVID-19 leads to impulsive buying as well as compulsive buying in the apparel and accessory segment.

Marketers should capitalize on spontaneous buying in both forms – impulsive buying and compulsive buying. Social media influencers, as well as more consumer engagement on social media, can promote impulsive buying. However, compulsive buyers will be more attracted towards great in-store experiences or hedonically driven advertisements, as they do not just shop for buying the product; they shop for the experience of shopping.

This study uncovers the difference in factors that affect impulsive and compulsive buying. Though both behaviours seem points of the same scale, they are inherently different and can be predicted with social media influence and hedonic happiness.