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Emergency service dispatchers perform a vital role in assisting callers by helping them through the emergency they are in and ensuring the delivery of first responders. If an emergency caller prematurely hangs up a call, before the arrival of first responders, it can impact a dispatcher’s ability to provide them with assistance. This paper aims to understand why staged callers, who are attempting to cover up a crime, and authentic callers hang up by identifying which linguistic and behavioural indicators occur prior to the end of a call.

A sample of 40 emergency calls (20 staged; 20 authentic) related to health and welfare emergencies were analysed with a temporal measure known as indicator waves. This provided a means to identify which indicators occurred above the level expected by chance near the end of authentic and staged calls.

The results of the current study show that the indicators that proceeded hanging up in authentic calls reflected the nature of the situation (e.g. nonurgency wherein the victim is deceased or is in a stable condition). Whereas the indicators that proceeded hanging up in staged calls focused on the “staging” aspect of the incident by accounting for forensic evidence that could be incriminating.

The identification of indicators that occur before the end of staged and authentic calls provides further insight into the differences between the two call types and offers opportunities for further research, potentially leading to application.

This study aims to investigate the impact of online collective feminist actions on social media participation and the perceived value of social media as part of the social identity model of collective action (SIMCA).

A mixed methodology is used. Within the SIMCA model in the context of feminist collective actions, social identity, group-efficacy and fear predicted the intention of online collective action participation in the first part (quantitative) of the study. Contrary to predictions, the influence of anger on the intention to participate in collective action was negative. In-depth interviews are conducted in the study’s second (qualitative) part to investigate why individuals do not participate in collective actions despite their anger at violence against women.

The concept of online feminist collective action, from the perspective of the SIMCA model, deals with violence against women in the context of social marketing, revealing the importance of online collective actions as an antecedent of social media participation and the perceived value of social media. The possible causes of the negative impact of anger, which is an important emotion within the framework of the SIMCA model, on online feminist collective action were determined, and a contribution was made to the social marketing literature in the context of women’s rights.

The study makes three major contributions to the literature. First, women’s rights are addressed in the context of online collective action, an issue that has received little attention in social marketing. Second, in the context of the social identity theory of collective action, online collective feminist action and its predecessors are addressed. Finally, the Turkish case is used to highlight the probable causes of anger’s negative impact on collective action.

The aim of this study is to analyze the existing literature available on corporate strategy and capital structure with the help of a bibliometric analysis.

A total of 133 studies indexed in the Scopus database over the period from 1979 to 2024 are included and analyzed using the Biblioshiny package in RStudio along with VOSviewer for network visualization. Additionally, this study used biblioMagika and OpenRefine to harmonize and clean the data.

This study identified the leading contributors in terms of countries, authors, sources and documents and used various analysis techniques. The USA, Canada and the UK exhibited the most significant level of contribution. Furthermore, Bradford’s Law is applicable to the results of this study. The bibliographic coupling resulted in the five clusters indicating emerging themes in the field.

The study’s findings will contribute to the academic landscape by providing an exhaustive examination of the concerned research field and will guide potential researchers for future research avenues. This study will also highlight the need for managers and policymakers to factor in diverse corporate strategies when shaping organization’s capital structures.

To the best of the authors’ knowledge, this study represents the first attempt to map the landscape of this field through the presentation of insights derived from bibliometric analysis.

The study aims to embrace the lingering call for more empirical studies that can theorize the role of digital platforms in digital entrepreneurship. Hence, this study seeks to reveal the liminal space entrepreneurial experience of third-party application developers, by investigating how the platform boundary resources promote third-party entrepreneurial actions, as they transition through the disoriented, uncertain and ambiguous processes of digital entrepreneurship development.

To conduct this investigation, an expert interview qualitative method was used. This approach is a well-established technique in the field of social sciences, which allowed a detailed exploration of the theory of liminality. Liminality refers to the transitional phase that individuals or groups experience when moving from one social or cultural context to another. The expert interview method is appropriate for this study because it involves engaging with knowledgeable individuals who have extensive experience and expertise in the subject area being investigated. Through in-depth and unstructured interviews, the experts were able to provide valuable insights and perspectives about the phenomenon investigated.

The research findings demonstrate that digital platform boundary resources play a significant role in the behaviour of third-party developers’ who engage in the development of digital entrepreneurship in today’s market. The study highlights three ways that show how these resources (software development kit (SDK), API, integrated development environment (IDE), libraries, frameworks) enable third-party developers to create new applications that are used to pursue entrepreneurship in a digital platform, leading to increased user engagement and revenue generation.

The research addresses the critical roles of digital platform boundary resources in digital entrepreneurship development processes. Also, using liminality theory, the research explicated the core experiences of third-party developers as they navigated the challenges and ambiguities experienced in the pursuit of entrepreneurship. Thus, contributing to the existing body of knowledge in literature and practice.

This study aims to examine member attachment in hybrid identity organizations (HIOs), assessing the distinct effects of identification with respect to two elements (normative and utilitarian) of a hybrid’s identity. Specifically, the author explored how such dual identifications influence commitment and exit/voice/loyalty.

To distinguish the effects of the two identities, the author used the mechanism of identity congruence – the gap between identity perceptions and expectations – as an analog of identification. The models of identity gap, commitment and exit/voice/loyalty were examined via a survey of agricultural cooperative members.

Both the social and economic forms of identity gap were significantly related to commitment and exit/voice/loyalty. In addition, commitment mediated the relationship between identity gap and exit/voice/loyalty.

The results demonstrate the distinctive effects of the dual identities and reinforce the importance of delineating such differences when examining identification in hybrid organizations.

Managers should recognize the duality inherent in hybrid organizational identification and understand the potential for different outcomes stemming from the separate identities.

This study represents the first quantitative examination of an integrated model of dual identification and commitment in HIOs. It is also unique in exploring the exit/voice/loyalty framework as a consequent of identification.

In recent decades, interest in digital transformation (DX) within the architecture, engineering, and construction (AEC) industry has significantly increased. Despite the existence of several literature reviews on DX research, there remains a notable lack of systematic quantitative and visual investigations into the structure and evolution of this field. This study aims to address this gap by uncovering the current state, key topics, keywords, and emerging areas in DX research specific to the AEC sector.

Employing a holistic review approach, this study undertook a thorough and systematic analysis of the literature concerning DX in the AEC industry. Utilizing a bibliometric analysis, 3,656 papers were retrieved from the Web of Science spanning the years 1990–2023. A scientometric analysis was then applied to these publications to discern patterns in publication years, geographical distribution, journals, authors, citations, and keywords.

The findings identify China, the USA, and England as the leading contributors in the field of DX in AEC sector. Prominent keywords include “building information modeling”, “design”, “system”, “framework”, “adoption”, “model”, “safety”, “internet of things”, and “innovation”. Emerging areas of interest are “deep learning”, “embodied energy”, and “machine learning”. A cluster analysis of keywords reveals key research themes such as “deep learning”, “smart buildings”, “virtual reality”, “augmented reality”, “smart contracts”, “sustainable development”, “building information modeling”, “big data”, and “3D printing”.

This study is among the earliest to provide a comprehensive scientometric mapping of the DX field. The findings presented here have significant implications for both industry practitioners and the scientific community, offering a thorough overview of the current state, prominent keywords, topics, and emerging areas within DX in the AEC industry. Additionally, this research serves as an invaluable reference and guideline for scholars interested in this subject.

Redistributive policies aim to reduce income disparities and improve social equity. This study investigates whether redistributive effects that successfully diminish objective income inequality also effectively alter people’s perceptions of inequality.

Utilizing data from the 2018 China Household Income Survey (CHIP), comprising 56,167 individuals, this study applies ordered probability regression (Oprobit) and ordinary least squares (OLS) for analysis. To address potential biases in estimates, we employed the generalized propensity score matching (GPSM) method to estimate the treatment effect of transfer income on perceptions of inequality.

The results indicate that while China’s redistribution policies effectively reduce income disparities, they do not improve perceptions of inequality. Individuals exhibit biased attitudes toward redistributive policies. Specifically, perceptions of inequality are insensitive to the overall redistributive effect; the relationship is negative among the poor but positive among the rich. This contradictory pattern may be attributed to perceived income losses among the rich and gains among the poor.

The findings have important implications for policy development. Redistribution policies should not only aim to mitigate income disparities but also address and improve people’s perceptions of inequality.

Existing literature has largely overlooked the impact of redistribution on perceived income inequality. This study represents an early effort to explore whether redistributive policies that reduce income inequality also influence people’s perceptions of inequality.

The main objective of our study is to shed light on how perceived enjoyment influences the intricate relationship between value cocreation and consumer satisfaction, with a specific focus on the realms of tourist services.

To achieve the objective outlined in this research, an information survey was carried out on 400 consumers of tourist services who have participated in virtual cocreation processes through digital platforms. As a data analysis technique, the dynamic structural equation modeling (DSEM) analyzes the causal relationships between the elements under study.

Our extensive analysis draws upon the data collected through a survey spanning from 2018 to 2023, encompassing 400 participants who actively engaged in value cocreation processes in both physical and virtual settings. Our investigation considers two competing models to elucidate the role of perceived enjoyment. Our findings, established through DSEM illuminates that perceived enjoyment predominantly functions as a mediator, exerting a more pronounced influence on the connection between value cocreation and consumer satisfaction. Contrary to a moderating role, perceived enjoyment emerges as a significant mediator in our study.

The most significant addition is recognizing virtual value cocreation behaviors in tourist sector activities over time, primarily because it indicates the likelihood of negative repercussions of its usage. Furthermore, it must be capable of designing surroundings according to the characteristics of customers in terms of immersion and technology usage, preventing a rise in stress situations that might result in more negative consequences than planned. Another important insight is that virtual value cocreation initiatives have detrimental long-term implications, particularly in tourism.