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The critical incident technique (CIT) is widely used in many disciplines; however, scholars have acknowledged challenges associated with analyzing qualitative data when using this technique. Therefore, the purpose of this article is to address the data analysis issues that have been raised by introducing some different contemporary ways of analyzing qualitative critical incident data drawn from recent dissertations conducted in the human resource development (HRD) field.

This article describes and illustrates different contemporary qualitative re-storying and cross-incident analysis approaches with examples drawn from previously and recently conducted qualitative HRD dissertations that have used the CIT.

Qualitative CIT analysis comprises two processes: re-storying and cross-incident analysis. The narrative inquiry–based re-storying approaches the authors illustrate include poetic narrative and dramatic emplotting. The analytical approaches we illustrate for cross-incident analysis include thematic assertion, grounded theory, and post-structural analysis/assemblages. The use of the aforementioned approaches offers researchers contemporary tools that can deepen meaning and understanding of qualitative CIT data, which address challenges that have been acknowledged regarding the difficulty of analyzing CIT data.

The different contemporary qualitative approaches that we have introduced and illustrated in this study provide researchers using the CIT with additional tools to address the challenges of analyzing qualitative CIT data, specifically with regard to data reduction of lengthy narrative transcripts through re-storying as well as cross-incident analyses that can substantially deepen meaning, as well as build new theory and problematize the data through existing theory.

A strength of the CIT is its focus on actual events that have occurred from which reasoning, behaviors, and decision-making can be examined to develop more informed practices.

The CIT is a very popular and flexible method for collecting data that is widely used in many disciplines. However, data analysis can be especially difficult given the volume of narrative qualitative data that can result from data collection. This paper describes and illustrates different contemporary approaches analyzing qualitative CIT data, specifically the processes of re-storying and cross-incident analysis, to address these concerns in the literature as well as to enhance and further evolve the use of the CIT method.

The purpose of this paper is to conceptualize a typology of supply-side resilience capabilities and empirically validates these capabilities and their constituent bundles of practices.

The study is primarily qualitative, employing the critical incident technique to collect data across 22 firms and seeking to validate how and why practice bundles form and relate to operations performance. It contains a frequency of occurrence analysis for the purpose of triangulation, a minor statistical part to provide some additional evidence of bundle formation and correlation between adoption of bundles of practices and recovered operations performance after upstream supply chain disruptions.

Four supply-side resilience capabilities are conceptualized along two dichotomous dimensions – “proactive/reactive” and “internal/external” – in a 2×2 matrix as proactive-internal, proactive-external, reactive-internal and reactive-external resilience capabilities. Empirical support for the conceptualized typology is found. Bundles of specific practices that can be associated with each capability are identified. Moreover, the study finds a relationship between these practice bundles and recovered operations performance.

The statistical part is used just to provide some additional evidence through factor and regression analyses that these capabilities exist and do benefit adopting firms.

Specifies practices that lead to recovered operations performance in the event of supply disruptions.

Advances current theory by operationalizing resilience as a set of dynamic capabilities in terms of practice bundles that aid in recovering operations performance upon supply disruptions.

The purpose of this paper is to offer a collection of articles that explore some of the many innovative approaches to qualitative inquiry and to challenge HRD scholars and practitioners to consider using innovative approaches in their work. In doing so, qualitative research in HRD can better capture and honour voices, experiences and meaning making of individuals, teams, organizations and communities.

Using Lê and Schmid’s (2022) definition of innovation in qualitative research, the authors selected four innovative approaches to qualitative research that have the potential to enhance HRD research and practice: use of multiple-case study designs in case study research in HRD, a new take on critical incident technique, a narrative approach of testimonio and a visual approach of participant photography.

Innovative approaches to qualitative research in this special issue include a review of case study research in HRD by Tkachenko et al., a new take on the familiar critical incident technique of Watkins et al., a narrative approach to testimonio by Salcedo et al. and a visual approach to participant photography by Hurtienne et al. The last article, by Grenier et al., addresses the implications of these articles to the field of HRD and points to additional directions for innovative qualitative approaches that can help to understand and create more inclusive, democratic and just organizations.

The articles in this special issue are intended to spark a dialogue about the meaning of innovation in qualitative research in HRD. It also can serve as an impetus for considering how innovative approaches to qualitative research can better tackle questions that come from the new normal of the workplace, society and diverse contexts.

This special issue will give HRD scholars and practitioners a realistic, practical view on how innovation in qualitative research can help in exploring specific problems in the workplace. The articles will offer a glimpse into how specific social complex issues can be explored and addressed through innovative approaches, new and tried/modified, to qualitative inquiry.

Four articles introduce new and tried/modified qualitative methods, and their value is in prompting HRD scholars and practitioners to consider some of the innovative approaches in exploring, understanding and transforming the workplace. The final article is a review of more innovative qualitative approaches for HRD scholars and practitioners to understand complex organizational phenomena and promote positive and inclusive change accordingly.

The article presents a conceptual model which aims to help explain the ways in which people anticipate the predictable transition from work into retirement. The findings of a research study of over 200 British managers, using the model, are outlined, and their implications, both for policy‐makers and for individuals approaching retirement, are discussed.

Railway-level crossings (RLCs) are the point of intersection between rail and road users and are therefore hotpots of road-rail user conflict and catastrophic collisions. The purpose of this study is to assess the risks associated with RLCs and suggest probable reduction measures. Through questionnaires and visual inspection, the authors identify the safety risks, hazards and hazardous events at some railway crossing of Addis Ababa light rail transit (AA-LRT) north-south (N-S) route. The identified risky events are then categorized based on As Low As Reasonably Practicable (ALARP) principle and generic risk ranking matrix. The authors then examine existing safety management measures at railway crossing and assess the need for additional safety management. Five major crossings on the 16.9 km (10.5 mi) N-S line, starting from Menelik II Square to Kality, were considered for the study. This study is carried out by data collection from about 145 stakeholders and the application of statistical data and risk analysis methods. The major findings of this study and the recommendations for improvement are suggested.

The research followed a case study approach. Through questionnaires and visual inspection, the authors identify the safety risks, hazards and hazardous events at some railway crossing of AA-LRT N-S route. The identified risky events are then categorized based on ALARP principle and generic risk ranking matrix. Collected data was then analyzed using SPSS to deduce relationships.

The study findings reveal human factors as the greatest cause of accidents, injury or death. About 22% of hazards identified by category are human factors, whereas 20% are because of technical problems. Intolerable risks stand at 42%, whereas the tolerable risks are at 36% according to risk classification results as per the ALARP model. Because the process of risk management is a long-term cycle, its importance should not be missed at any time.

Because of design considerations of RLCs and the difference in generalized human behaviors for people of a given region, the results are limited to AA-LRT RLCs. This study opens a discourse for detailed evaluations, qualitative and quantitative analysis into the categorized identified hazards. There is also room for additional research into the performance of RLCs aimed at formulating standard necessary features that should be included on RLCs for proper risk control especially in emerging economies.

The research paper is original and has not been submitted for consideration to other journals.