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This paper presents results from a participatory action research study with 46 LGBTQIA+ community leaders and 60 library workers who participated in four community forums at public libraries across the US. The forums identified barriers to LGBTQIA+ communities addressing their health questions and concerns and explored strategies for public libraries to tackle them.

Forums followed the World Café format to facilitate collaborative knowledge development and promote participant-led change. Data sources included collaborative notes taken by participants and observational researcher notes. Data analysis consisted of emic/etic qualitative coding.

Results revealed that barriers experienced by LGBTQIA+ communities are structurally and socially entrenched and require systematic changes. Public libraries must expand their strategies beyond collection development and one-off programming to meet these requirements. Suggested strategies include outreach and community engagement and mutual aid initiatives characterized by explicit advocacy for LGBTQIA+ communities and community organizing approaches.

Limitations include the sample's lack of racial diversity and the gap in the data collection period between forums due to COVID-19. Public libraries can readily adopt strategies overviewed in this paper for LGBTQIA+ health promotion.

This research used a unique methodology within the Library and Information Science (LIS) field to engage LGBTQIA+ community leaders and library workers in conversations about how public libraries can contribute to LGBTQIA+ health promotion. Prior research has often captured these perspectives separately. Uniting the groups facilitated understanding of each other's strengths and challenges, identifying strategies more relevant than asking either group alone.

Based on literature providing evidence that Afrocentric hairstyles (e.g. afros, braids, dreadlocks) of Black women working in professional settings are often associated with negative stereotypes and biases regarding competency and professionalism, this chapter examines the extent to which these biases may be influencing the hairstyle choices of Black women employed in higher education. While academic workplaces tend to be more flexible and informal than non-academic settings, we found many Black women in higher education are, nonetheless, choosing to wear Eurocentric hairstyles. However, choice of hairstyle was influenced by academic discipline, type of institution and level in the university hierarchy.

In this paper, I explore what shapes the identities of digital nomads (DNs), a class of remote workers who travel and work concurrently. Through extensive fieldwork and interviews with 50 digital nomads conducted in seven coworking hostels in Mexico in 2022, I construct a theory of DN identity. I base this upon the frequent transformations they undergo in their Circumstances, which regularly change their worker identity.

DNs relinquish traditional social determinants of identity, such as nationality and religion. They define their personal identities by their passions and interests, which are influenced by the people they meet. DNs exist in inherently transitive social spaces and, without rigid social roles to fulfil, they represent themselves authentically. They form close relationships with other long-term travellers to combat loneliness and homesickness. Digital nomads define their worker identities around their location independence. This study shows that DNs value their nomadic lifestyle above promotions and financial gain. They define themselves by productivity and professionalism to ensure the sustainability of their lifestyle. Furthermore, digital nomad coworking hubs serve focused, individual work, leaving workplace politics and strict ‘office image’ norms behind. Without fixed social and professional roles to play, digital nomads define themselves personally according to their ever-evolving passions and the sustainability of their nomadic life. Based on these findings, I present a cyclical framework for DN identity evolution which demonstrates how relational, logistical, and socio-personal flux evolves DN’s worker identities.

This chapter examines the scope and value of activist criminology, and questions whether it should be defined in relation to its means or its ends. It also outlines the nature and potential value of something that the author describes as Janus-faced criminology – an amalgam of activist and administrative criminology, and one which therefore straddles two very different sets of goals and priorities. To explore these issues, this chapter draws on some recent work that the author conducted in the UK with the cross-party parliamentary Youth Violence Commission. Ultimately, the author contends that Janus-faced criminology has its place in advancing the causes of social and legal justice in the years ahead.

Consumers may enjoy the information sharing and social support made available when a social media platform is used for pre-purchase research; however, do consumers reevaluate the privacy and security of the platform differently when ordering and payment capabilities are added? As social media systems have evolved into social commerce platforms (SCPs), individuals are often faced with whether to complete a purchase they have been researching or switch to a traditional e-commerce platform to complete the transaction. This research examines consumer trust formation in the SCP channel and how consumer interest and engagement in the channel are maintained and influence consumer decisions to purchase via the SCP.

Based on trust and involvement literature, a research model was conceptualized to capture consumer beliefs about SCP privacy and security and whether the SCP can be trusted, using these inputs into subsequent consumer interest, engagement and decisions on whether to use the SCP for purchasing. The research model was empirically tested using the panel data's structural equation modeling (AMOS) (n = 405). The data showed acceptable reliability and convergent validity, while the original research model provides predictive validity and theory-confirming insights.

Results confirm that consumer perceptions of privacy and security play a crucial role as decision criteria, informing their judgments of whether a new social commerce channel can be trusted enough to conduct purchases. Further, consumer trust supports their interest in the SCP, resulting in enduring and enhanced behavioral use and, to a lesser extent, purchase intent. Still, a majority of this sample declined to purchase using the SCP and rather preferred to transact on tried and trusted traditional e-commerce sites.

This study is among the first to examine trust formation in new SCPs, where consumers are deciding to expand their engagement level from social and informational to commercial.

Four reputed leaders for the coming years in the field of special education for individuals with emotional and behavioral disorders (EBD) each with a slightly different perspective on the field were asked to respond independently to a prompt asking what does special education mean for students with EBD and what is being done and how do we maintain tradition? The contributors' responses to the prompt are presented and then summarized across the essays. A remarkable consistency emerges across the independent essays. In addition to the tradition of providing a free and appropriate education in the least restrictive environment, the contributors identify needs to support teachers serving this population. Needs in teacher training and the expertise required to meet the needs of individuals with EBD are outlined as well as potential contributions of technology to carry out specific tasks. We conclude with a call for increased advocacy for use of the knowledge that we currently possess and that which will soon be discovered to support students with EBD as well as their teachers. We also note that the contributors' names are listed alphabetically to acknowledge the equality of each person to the final product.

This study aims to correct errors in, and comment on the claims made in the comment papers of Rigdon (2022) and Henseler and Schuberth (2022), and to tidy up any substantive oversights made in Cadogan and Lee (2022).

The study discusses and clarifies the gap between Rigdon’s notion of scientific realism and the metaphysical, semantic and epistemological commitments that are broadly agreed to be key principles of scientific realism. The study also examines the ontological status of the variables that Henseler and Schuberth claim are emergent using emergence logic grounded in the notion that variables are only truly emergent if they demonstrate a failure of generative atomism.

In scientific realism, hypothetical causal contact between the unobserved and the observed is a key foundational stance, and as such, Rigdon’s concept proxy framework (CPF) is inherently anti-realist in nature. Furthermore, Henseler and Schuberth’s suggestion that composite-creating statistical packages [such as partial least squares (PLS)] can model emergent variables should be treated with skepticism by realists.

Claims made by Rigdon regarding the realism of CPF are unfounded, and claims by Henseler and Schuberth regarding the universal suitability of partial least squares (PLS) as a tool for use by researchers of all ontological stripes (see their Table 5) do not appear to be well-grounded.

Those aspiring to do science according to the precepts of scientific realism need to be careful in assessing claims in the literature. For instance, despite Rigdon’s assertion that CPF is a realist framework, we show that it is not. Consequently, some of Rigdon’s core criticisms of the common factor logic make no sense for the realist. Likewise, if the variables resulting from composite creating statistical packages (like PLS) are not really emergent (contrary to Henseler and Schuberth) and so are not real, their utility as tools for scientific realist inquiry are called into question.

This study assesses PLS using the Eleatic Principle and examines H&S’s version of emergent variables from an ontological perspective.

The advantages of applying big data analytics for organizations to boost innovation performance are enormous. By collecting and analysing substantial amounts of data, firms can discern what works for their customer needs and update existing products while innovating new ones. Notwithstanding the evidence about the effects of big data analytics, the link between big data analytics and innovation performance is still underestimated. Especially in today's fast-changing and complicated environments, companies cannot simply take big data analytics as one innovative technical tool without fully understanding how to deploy it effectively.

This study tries to investigate this relationship by building on the knowledge absorptive capacity perspective. The authors conceptualized effective use of big data analytics tools as one general absorptive capacity rather than a simple technical element or skill. Specifically, effectively utilize big data analytics tools can provide values and insights for new product innovation performance in a turbulent environment. Using online survey data from 108 managers, the authors assessed their hypotheses by applying the structural equation modelling method.

The authors found that big data analytics capacity, which can be conceptualized as one absorptive capacity, can positively influence product innovation performance. The authors also found that environmental turbulence has strong moderation effects on these two main relationships.

These results establish big data analytics can be regarded as one absorptive capacity, which can positively boost an organization's innovation performance.

To determine the factors influencing the perception of undergraduate students toward research–teaching nexus and also to examine its impact on the attitude of the students.

The study used a quantitative design to examine the perceptions of students in higher education institutions in India. Descriptive and inferential statistics were used to describe the data and test the hypothesis. The data was collected using a structured questionnaire for a sample of 188 students from higher education institutions (HEIs). Further, in line with the purpose of the study and to test the hypotheses, the study used descriptive statistics, exploratory factor analysis and multivariate regression analysis.

The study demonstrates that the factors influencing the perception of undergraduate students toward research teaching nexus were identified using principal component analysis (PCA) with varimax rotation, conducted on 27 measurement items. In addition, the results of the multivariate regression analysis indicated that research-based, research-tutored and research motivation dimensions, significantly impact the graduate students' perception of research–teaching nexus.

The outcomes of this research may become valid input to HEI regulators, researchers and teachers while framing the policies and implementation of the same about the pertinent issues discussed in the paper. Further, it contributes to the existing theory that teaching–research quality and level of motivation are also the predominant factors influencing the teaching–research nexus among students. In addition, the outcome of this paper also supports HEIs to achieve the United Nations Sustainable Development Goals (UNSDGs) at large.

This study contributes to the ongoing debate and scarce literature on research–teaching nexus at the higher education level. The factors derived in this paper propose a framework for aligning teaching and research in academic programs to create high-quality human resource in the nation.

Skilled migrants' careers are heterogeneous, with existing theories capturing only some of their diversity and dynamic development over time and circumstance. This paper aims to draw out the multilevel (macro, meso and micro levels) influences impacting skilled migrants' careers by using the lens of the intelligent career framework. Furthermore, structuration theory captures the agency of skilled migrants facing different social structures at and across levels and explains the idiosyncratic nature of skilled migrants' careers.

Following an abductive approach, this paper examines the career influences for a sample of 41 skilled migrants in three different host countries. Individual career stories were collected through qualitative interviews. Important career influences from these narratives are categorised across the intelligent career competencies (knowing why, how and whom) at the macro, meso and micro levels.

Findings illustrate the lived reality for skilled migrants of these interrelated multilevel career influences and go some way in elucidating the heterogeneity of skilled migrants' careers and outcomes. The interplay of individual agency in responding to both facilitating and challenging social structures across the multilevels further explains the idiosyncratic nature of skilled migrants' careers and how/whether they achieve satisfying career outcomes. Some potential policy implications and options arising from these findings are suggested.

By considering multilevel themes that influence skilled migrants' career capital, the authors were able to better explain the complex, relational and idiosyncratic shaping of their individual careers. As such, the framework informs and guides individuals, practitioners and organisations seeking to facilitate skilled migrants' careers.