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The authors, with disparate organisational affiliations and in different geographic locations, worked together on a qualitative multiple-case study of ad hoc supervisory encounters between general practice (GP) supervisors and GP-registrars. The purpose of this paper is to share our experiences and learning to highlight how valuable pilot work can be when conducting team-based qualitative research.

This paper outlines the value of pilot work in consolidating whole team understanding of the research plan, using our experiences as an example. We first offer a synthesis of published literature relating to pilot work, especially in qualitative research approaches. Next, we outline and justify the pilot work undertaken for the ad hoc supervision study. Lastly, we use each researcher’s voice to describe our experiences and then share the lessons we learned undertaking pilot work in qualitative research.

We found that while pilot work can be useful in refining strategies, data collection processes and analytic instruments. There are further benefits in galvanising whole team understanding of the research plan, in encouraging reflexivity, in ensuring transparency of the research process, and for ethical considerations.

There are few published papers or books which offer researchers guidance regarding pilot work, especially within a qualitative paradigm. Our experience shows there is value in planning and conducting pilot work. We believe others may benefit from our experience as they embark on team-based research.

This study aims to examine the impact of China's “Manufacturing and Internet Integration Development Pilot Demonstration Project” (MIP) policy on the digital transformation (DT) and labor structure optimization (LSU) of manufacturing enterprises, reveal the relationship between DT and LSU at the micro level and investigate the mechanism between them.

This study employs MIP as a quasi-natural experiment and develops a time-varying difference-in-difference (DID) model based on a sample of 2,445 Chinese A-share listed manufacturing enterprises in the Shanghai and Shenzhen markets from 2013 to 2021.

The implementation of MIP significantly increases DT by 0.4366 and optimizes LSU by 0.0507. By enhancing the two mediated variables of organizational learning inputs (SI) and employees' personal digital cognition (PDC), DT can optimize the LSU of pilot enterprises by 0.035 and 0.034, according to the results of the mechanism analysis. The study also reveals that the impact of MIP on LSU is highly heterogeneous. With effects of 0.0691 and 0.0632, the optimization effect is more pronounced in state-owned firms and firms with low ownership concentration, respectively.

This study demonstrates the dual effects of the MIP pilot on DT and LSU. In addition, this study pioneers research on the significance of optimizing the labor structure through SI and PDC on the basis of DT, which provides an empirical foundation for the Chinese Government to expand the scope of MIP pilots and revise policy content, as well as for manufacturing enterprises to upgrade the labor structure.

This study aims to examine the process model of quondam commitments (commitments employees used to have, but no longer have). It is part of a new perspective aimed at understanding better the concept of commitment, a powerful determinant of employee retention, by looking at gone commitments.

Drawing on a qualitative methodology recommended in the most recent commitment literature, life story interviews (Study 1 – flight attendants) and non-directive interviews (Study 2 – pilots) were conducted.

The authors propose a revised process model of quondam commitments, including the possible transformation of a commitment bond into a different type of psychological bond over time.

The sample sizes are limited because of the qualitative nature of both studies, and the quondam commitment outcomes could only be studied at the individual level. However, the innovative nature of the work offers important contributions and avenues for research.

This study provides concrete perspectives for hospitality professionals to retain employees who question their relationship with work. Its relevance goes beyond the airline sector and can be applied to the hotel or restaurant industry, looking for solutions to deal with massive attrition.

This research contributes to filling three gaps identified in the commitment literature. It is one of the very rare studies considering closely both multiple targets and multiple types of psychological bonds. Moreover, it incorporates their dynamics, beyond the commitment bond, and suggests a refined model.

There is a lot of interest in blockchain technology in the supply chain, but to date, there is little empirical research to support managerial decision-making. Verhoeven et al. (2018) suggested five screens for ensuring mindful development of use cases for blockchain in the supply chain. This paper aims to extend the Verhoeven et al.’s (2018) framework and empirical research beyond the use case stage into the pilot stage.

Three case studies in different industries (logistics services, consumer products and retail), supply chain positions (manufacturer, carrier, and retailer) and geographies (Europe and USA) are conducted to explore lessons learned by early adopters of blockchain technology in the supply chain.

The case studies indicate that the Verhoeven et al.’s (2018) screens, with one added screen, are helpful in considering “what to adopt.” Based on the insights from the case studies, it is also possible to develop pilot design considerations that can inform “where to start.” Lessons learned include that there is value in scoping pilots in a targeted manner, including the use of existing technology in the pilot (as opposed to replacing existing technology) and that there is the ability to start a pilot fast, provided the existence of executive and stakeholder engagement.

In addition to the need to be being mindful in considering what use case for blockchain in the supply chain to potentially adopt, mindful consideration of blockchain technology in the supply chain extends into the design of pilots. Six specific design considerations are offered.

Based on the insights from early adopters in industry, the author extends guidance for the mindful adoption of blockchain in the supply chain beyond the development of use cases, into the design of actual pilots. These insights directly address calls for research from literature (including from Dobrovnik et al., 2018 and Ferdows, 2018).

Some studies and reports have recently suggested using blockchain technology to improve transparency and trust in humanitarian supply chains (HSCs). However, evidence-based studies to display the utility and applicability of blockchains in HSCs are missing in the literature. This paper aims to investigate the key drivers and barriers of blockchain application to HSCs and explore whether evidence could support that the application of blockchain improves transparency and trust in HSCs.

This paper puts forward a two-stage approach to explore the blockchain application in HSCs: an initial exploration of humanitarian practitioners and academicians interested in blockchain through focus group discussions; semi-structured interviews with practitioners involved at the UK Department for International Development's Humanitarian Supply Blockchain pilot project.

First, we found that main drivers include accountability, visibility, traceability, trust, collaboration, time efficiency, reducing administrative work and cross-sector partnership. Main barriers, however, are composed of engagement issues, lack of technical skills and training, lack of resources, privacy concerns, regulatory problems, pilot scalability issues and governance challenges. Second, evidence from our case study revealed the blockchain application could have added value to improve visibility and traceability, thus contributing to improve transparency. Concerning trust, evidence supports that blockchain could enhance both commitment and swift trust in the pilot study.

Our study contributes to a more understanding of added values and challenges of blockchain application to HSCs and creates a perspective for humanitarian decision-makers.

This study provides the first evidence from the actual application of blockchain technology in HSCs. The study discovered that it is still less evident in many humanitarian organizations, including medium- and small-sized nongovernmental organizations, that they engage in a direct deployment of in-house or customized blockchain-based HSC. Instead, these actors are more likely to indirectly use blockchain in HSCs through a private commercial partner.

This paper reports outcomes from a holistic, recovery‐based, user‐led group training for people with DSM‐IV bipolar disorder. Drawn from professional therapies and personal experience of the illness by the user‐researcher, the training was delivered over 12 weekly sessions. Using a case‐study approach, an experimental design incorporated pilot (eight participants), main study (five) and control groups (six). Self‐report scales measured mood, coping, empowerment and quality of life pre‐, post‐ and six months post‐training. Semi‐structured interviews noted individual change within the same time frame. Interviews with mental health professionals, medical note analysis and user‐researcher observations also informed the study. Findings from self‐report questionnaires indicated that participants experienced improved mood stability, symptom severity, coping and quality of life and greater empowerment. Out of the six controls, two indicated slight but slow recovery, four continued to use poor coping skills, and two of these four experienced major relapses.

The purpose of this paper is to investigate how, if at all, organizational dynamics changed at US airlines after an industry wide modification to mandatory retirement age regulations in 2007. Findings challenge assumptions that society, organizations, and employees will all unequivocally benefit from abolishing mandatory retirement by investigating the impact of age-related policy changes on US airline pilots.

In total, 43 semi-structured interviews were conducted with captains and copilots from US airlines between September 2010 and July 2011. From this data set, two informant subgroups emerged: first, senior captains averaging 59 years of age; and second, junior pilots averaging 43.5 years of age.

Findings revealed that both senior and junior pilots reported retirement age policy changes created an antagonistic environment, pitting employees against each other in competition over scarce resources.

Paper findings are based on empirical materials collected during an 11 month snapshot-in-time between September 2010 and July 2011 and interview data are based on a small subgroup of US airline pilots who self-selected to participate in the study. Therefore, findings are not unbiased and may not be generalizable across all airlines’ pilot workgroups.

Considerable research has been conducted identifying the policy and practice changes that employers need to adopt to retain older workers. However, few studies consider the psychological impact of these age-related workplace changes on employees or the organizational psychodynamics they might trigger.

This paper makes two main contributions. First, through use of the psychoanalytic construct of the Oedipus complex, the paper sheds light on some of the psychodynamic consequences of age-related policy changes. Second, it challenges assumptions about workforce aging and the underlying causes of intergenerational conflict, highlighting ways that policy changes intended to eradicate discrimination against older workers can result in age discrimination against younger employees.

Carbon reduction in the construction industry is related to the achievement of carbon emission peaks and carbon neutrality targets. Therefore, exploring the influence of current carbon reduction policies on the construction industry is necessary. China’s low-carbon pilot (LCP) policy has been extensively studied, while LCPs mechanism and effectiveness on carbon reduction in the construction industry remain to be explored.

This study selected four provincial LCP regions as case studies and adopted the grounded theory method for case studies to analyze the implementation mechanism of the LCP policy on carbon reduction in the construction industry. Then, this study adopted the propensity score matching and difference-in-differences regression (PSM-DID) approach to evaluate the influence of the LCP policy on carbon intensity (CI) in the construction industry by using panel data taken from 30 provinces in China between 2008 and 2017.

The authors found that (1) the LCP policy promotes carbon reduction in the construction industry through the crossing implementation mechanism of five vertical support approaches and five horizontal support approaches. (2). The LCP policy can significantly reduce CI in the construction industry.

The study not only explored how is the LCP policy implemented, but also examined the effectiveness of the LCP policy in the construction industry. The policy implications of this study can help policy-makers better achieve low-carbon development targets in the construction industry.

The purpose of this study is to see if the affirmative results seen in the pilot study of the positive addiction recovery therapy (PART) programme are replicable and durable given a new cohort of participants. PART is a programme of work designed to improve the recovery and well-being of people in early addiction recovery. Its foundation is in the G-CHIME (growth, connectedness, hope, identity, meaning in life and empowerment) model of addiction recovery. It also uses the values in action character strengths and includes a set of recovery protection techniques.

This study uses a mixed method experimental design, incorporating direct replication and a follow-up study. Measures for recovery capital, well-being and level of flourishing are used to collect pre-, post- and one-month follow-up data from participants. The replication data analysis uses the non-parametric Wilcoxon test, and the follow-up analysis uses the Friedman test with pairwise comparison post hoc analysis. The eligibility criteria ensure participants (n = 35) are all in early addiction recovery, classified as having been abstinent for between three and six months.

This study found a statistically significant improvement in well-being, recovery capital and flourishing on completion of the PART programme. These findings upheld the hypotheses in the pilot study and the successful results reported. It also found these gains to be sustained at a one-month follow-up.

This study endorses the efficacy of the PART programme and its continued use in a clinical setting. It also adds further credibility to adopting a holistic approach when delivering interventions which consider important components of addiction recovery such as those outlined in the G-CHIME model.

This study adds to the existing evidence base endorsing the PART programme and the applied use of the G-CHIME model.