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Resource orchestration theory proposes that firms need resources, capabilities, and horizontal and vertical alignment to achieve high performance. Thus, we investigate which combinations of horizontal fit of resources (commitment-based HR systems for managers and nonmanagers) and capabilities (HR flexibility) together with vertical fit with business strategy (innovation versus cost leadership strategies) relate to superior performance.

Our study is based on a sample of 113 Spanish firms from which we collected data on commitment-based HR systems for managers and nonmanagers, HR flexibility, business strategy and performance. We employ a fuzzy set qualitative comparative analysis (fsQCA) to analyze which configurations lead to firm performance.

The empirical analysis shows that both HR practices and policies (commitment-based HR systems) and HR capabilities (HR flexibility) need to be aligned for high performance. The path for performance is comprised of a combination of commitment-based HR systems for staff and HR flexibility and by the absence of an innovation strategy or commitment-based HR systems for managers, HR flexibility, and a cost leadership strategy. We also find four paths where performance relies on efficiently combining an innovation and cost leadership business strategy.

Our findings make three key contributions to the literature. First, we help elucidate multicausal relationships inside the black box of the “HR–performance” relationship for firm performance. Second, we study the vertical fit with business strategy by considering innovation and cost leadership strategies. Third, we analyze multicausal pathways, thus uncovering different combinations of resources and capabilities for performance.

This study aims to examine the anticipated and actual challenges encountered by occupational therapy and physiotherapy students during their first full-time professional placement and to understand the strategies they implemented to manage their multiple life roles.

Longitudinal qualitative research examined students’ anticipated and reported challenges with their first block professional placement and the strategies they implemented during it. In total, 22 occupational therapy and physiotherapy students were interviewed at two time points (pre- and post-placement), producing 44 interview data points. Transcribed interviews were analysed thematically using a hybrid approach.

Pre-placement, students perceived potential challenges related to the distance between their placement location and where they resided and their ability to maintain balance in their multiple roles. Post-placement, the main reported challenge was maintaining role balance, due to unexpected challenges and students’ unanticipated tiredness. Students implemented strategies to assist with managing multiple roles and reflected on the benefits and drawbacks of placements. They also considered the necessary future adjustments.

This study highlighted the importance of social support and the need for proactive recovery strategies to negate the tiredness that students experienced on placement.

This is the first study, to our knowledge, to investigate how allied health students, on their first block of professional placement, balanced their multiple roles over time.

This paper aims to evaluate the influence of relative social standing, society’s level of restrictions and consumption adequacy on life satisfaction as well as to examine the moderating effect that an environment of social deprivations can cause in this relationship.

The analysis uses data from 23,152 individuals distributed in 272 regions of 18 developing countries collected from the World Values Survey (WVS). Given the hierarchical structure nature of the data in a cross-country setting, the paper utilizes a multilevel linear mixed-effects model with cross-level interaction.

The results show that social deprivation, perception of inadequate consumption and lower social standing negatively affect life satisfaction. Likewise, social comparison and consumption adequacy are moderated by the level of social deprivation, showing that the effect of these variables on life satisfaction is more pronounced for individuals living in regions with a higher level of deprivation than for those living in more affluent societies.

This study enhances the comprehension of well-being within contexts characterized by elevated levels of social deprivation. Furthermore, it provides evidence that objective and subjective deprivations are not independent and antithetical concepts but act mutually in reducing individual well-being.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-08-2023-0623

This article presents two Brazilian Portuguese corpora collected from different media concerning public security issues in a specific location. The primary motivation is supporting analyses, so security authorities can make appropriate decisions about their actions.

The corpora were obtained through web scraping from a newspaper's website and tweets from a Brazilian metropolitan region. Natural language processing was applied considering: text cleaning, lemmatization, summarization, part-of-speech and dependencies parsing, named entities recognition, and topic modeling.

Several results were obtained based on the methodology used, highlighting some: an example of a summarization using an automated process; dependency parsing; the most common topics in each corpus; the forty named entities and the most common slogans were extracted, highlighting those linked to public security.

Some critical tasks were identified for the research perspective, related to the applied methodology: the treatment of noise from obtaining news on their source websites, passing through textual elements quite present in social network posts such as abbreviations, emojis/emoticons, and even writing errors; the treatment of subjectivity, to eliminate noise from irony and sarcasm; the search for authentic news of issues within the target domain. All these tasks aim to improve the process to enable interested authorities to perform accurate analyses.

The corpora dedicated to the public security domain enable several analyses, such as mining public opinion on security actions in a given location; understanding criminals' behaviors reported in the news or even on social networks and drawing their attitudes timeline; detecting movements that may cause damage to public property and people welfare through texts from social networks; extracting the history and repercussions of police actions, crossing news with records on social networks; among many other possibilities.

The work on behalf of the corpora reported in this text represents one of the first initiatives to create textual bases in Portuguese, dedicated to Brazil's specific public security domain.

The purpose of this study is to propose and test an integrated model to explain how trust is built in sharing economy (SE) transactions.

Initially, prior literature was systematically selected and synthesized to develop a comprehensive framework applicable to multiple trust-building perspectives and categories of SE platforms. Then, a survey was conducted to validate the constructs and test the model with Airbnb guests. A sample of 351 responses was collected and analyzed using structural equation modeling.

The results indicate that the cues an individual assesses to infer their counterpart’s trustworthiness and the reasons the individual has for engaging in the SE transaction can explain a large variance in their trust in the counterpart. In addition, the individual’s propensity to trust moderates this relationship.

The proposed model can help identify the most effective trust-building mechanisms. It can be taken as a common knowledge base for scholars to compare the four trust-building perspectives and different categories of SE platforms, as well as to investigate the subject over time and across cultures.

This research can also help practitioners understand the complexity of building trust and design platform features to do so.

A unified model clarifies trust in the SE, aiding platform growth and community bonding. This insight guides platforms in feature enhancement and policymakers in drafting balanced regulations.

To the best of the authors’ knowledge, for the first time, there is a comprehensive and parsimonious model applicable to the four trust-building perspectives and different categories of SE platforms.

This study examines the construction of essential labour during the early months of the COVID-19 pandemic in the United States. Research questions include: (1) How have government policies shaped designations of essential versus non-essential labour? (2) What are the consequences of these designations for essential workers? To address these questions, the author employs a case study of custodial services employees at Prairie University, a large public university in a major Texas city (Prairietown). The author begins with an examination of federal, state, and municipal guidelines about COVID-19 safety and critical infrastructure in order to understand the policy landscape within which custodial employees at Prairie University were formally deemed essential. Drawing on theories of non-nurturant care work, the author shows how government guidelines for essential work released during the early period of the COVID-19 pandemic discursively invisibilized cleaning labourers. The author then demonstrates how this invisibilization contributed to Prairie University custodial services staff members’ exposure to COVID-19. The author concludes by considering the implications of the findings for future research on care work and the construction of essential labour.

This study examines the relationship between school ties among external auditors and audit committee members, and their joint impact on audit fee. We also examine how the monitoring and executive functions within companies moderate this relationship.

This study employs a regression analysis model on a sample of companies listed on the Indonesia Stock Exchange from 2016 to 2019, followed by additional analyses using high-low growth and tech samples, as well as robustness tests involving coarsened exact matching (CEM) and Heckman’s (1979) theory to address potential causality issues.

This study reveals that school ties between external auditors and audit committees positively influence audit fee. The audit committee size weakens this relationship, while the presence of an internal audit enhances it.

This research contributes to the literature related to the relationship between school ties and audit fee in Indonesian public companies, providing insights for stakeholders and informing company policies. It aims to increase awareness of the significance of school ties among Indonesian companies.

This research fills a knowledge gap by examining the link between audit committee-external auditor relationships and audit fees, aiming to generate new insights and empirical evidence to inform future research and regulatory decisions.

This paper aims to analyse the current state of research to identify the link between Lean Manufacturing and Industry 4.0 (I4.0) technologies to map out different research themes, to uncover research gaps and propose key recommendations for future research, including lessons to be learnt from the integration of lean and I4.0.

A systematic literature review (SLR) is conducted to thematically analyse and synthesise existing literature on Lean Manufacturing–I4.0 integration. The review analysed 60 papers in peer-reviewed journals.

In total, five main research themes were identified, and a thematic map was created to explore the following: the relationship between Lean Manufacturing and I4.0; Lean Manufacturing and I4.0 implication on performance; Lean Manufacturing and I4.0 framework; Lean Manufacturing and I4.0 integration with other methodologies; and application of I4.0 technologies in Lean Manufacturing. Furthermore, various gaps in the literature were identified, and key recommendations for future directions were proposed.

The integration of Lean Manufacturing and I4.0 will eventually bring many benefits and offers superior and long-term competitive advantages. This research reveals the need for more analysis to thoroughly examine how this can be achieved in real life and promote operational changes that ensure enterprises run more sustainably.

The development of Lean Manufacturing and I4.0 integration is still in its infancy, with most articles in this field published in the past two years. The five main research themes identified through thematic synthesis are provided in the original contribution. This provides scholars better insight into the existing literature related to Lean Manufacturing and I4.0, further contributing to defining clear topics for future research opportunities. It also has important implications for industrialists, who can develop more profound and richer knowledge than Lean and I4.0, which would, in turn, help them develop more effective deployment strategies and have a positive commercial impact.

Credible influencers play a key role in shaping the views and preferences of social media users. However, many influencers intentionally use disinformation (e.g. false narratives) to deceive users and gain their trust. This can have serious repercussions, not only for the firms that associate with these influencers but also for users. Further, and alarmingly, many influencers who use disinformation can sustain their credibility over time. This research explores how influencers use disinformation to establish long-term credibility on social media.

Drawing on self-presentation theory, we use an in-depth qualitative case study to address our research question, primarily relying on archival data obtained from multiple sources.

Our findings suggest that three stages of self-presentation are required to establish influencer credibility based on disinformation: backstage (preparing to deceive), experimentation (testing deception), and frontstage (launching deceptive ideas on a large scale). We also find that when fraudulent influencers simultaneously weaponise a counterculture and mindfully encase disinformation, users view them as highly credible.

We offer practical suggestions for regulating fraudulent influencers, including enacting fact-checking procedures, using IT artefacts as reliability signals, and building awareness programmes to develop vigilance in social media communities.

We contribute to self-presentation theory by adding experimentation as a critical stage in developing disinformation that works for long periods. We also contribute to the literature at the intersection of social media influencers and disinformation research by revealing why social media users believe in fraudulent influencers.