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This comment provides a discovery-oriented reading of grounded theory which supplements the verification-oriented approach to level specification. I address how grounded theory can be used to discover new constructs, to surface properties of constructs, to validate constructs, and to enhance understanding of levels of analysis of constructs. Two approaches to the integration of qualitative and quantitative data in grounded theory are discussed: the linking approach and computer-aided interpretive textual analysis. The comment shows how multi-level constructs can be developed from real life interaction using discovery oriented grounded theory.

Iran, home to 22 World Heritage Sites in 2017, is blessed with an abundance of breathtaking scenery and a multitude of historic environments for tourists to enjoy. This exploratory chapter investigates tourists’ perceptions about the nature of heritage tourism in Iran, using the five most important cultural attractions as a starting point. A total of 25 photos and 60 reviews constitute the sample. The data were content-analyzed using a deductive and inductive procedure. The results show the relevance of sensory perceptions as a way of creating a bond with cultural heritage that should be considered in the future when defining a brand for Iran as a destination.

This chapter argues that the primary reason for the underdeveloped state of microfoundations research in language and communications studies is methodological. It asserts that the long-standing methodological division between micro and macro analyses (traditionally small-scale and large-scale, respectively) has led to their continued theoretical separation. The paper draws from Giddens’ theory of structuration and newly developed computational methods to outline an alternative, mixed-methods framework for discourse analysis that the author calls Recursive Analysis (RA). The author demonstrates the application of the RA framework through a case study of the electric vehicle industry that aligns small-scale and large-scale textual analysis to generate theoretical insights.

The increasing prevalence and availability of big data represent a potentially revolutionary development for human resource management (HRM) scholars. Despite this, the current literature provides eclectic and often contradictory guidance for scholars attempting to conceptualize big data and subsequently incorporate it into relevant theoretical frameworks. The authors attempt to bridge this gap by discussing key considerations relevant to understanding and integrating big data into the existing theoretical landscape. Building on a novel, integrative definition of big data, the authors propose a parsimonious theoretical framework utilizing the established dimensions of complexity and dynamism as meta-attributes to bring order to the various attributes that have been proposed as central to defining big data (e.g., volume, variety, velocity, and variability). Throughout, the authors highlight numerous theoretical and empirical opportunities and considerations that this perspective holds for future HRM scholarship.

This chapter discusses textography as a strategy for researching academic writing in higher education. Textography is an approach to the analysis of written texts which combines text analysis with ethnographic techniques, such as surveys, interviews and other data sources, in order to examine what texts are like, and why. It aims to provide a more contextualized basis for understanding students’ writing in the social, cultural and institutional settings in which it takes place than might be obtained by looking solely at students’ texts. Through discussion of the outcomes of a textography, which examined the written texts submitted by visual and performing arts doctoral students at a number of Australian universities, we reflect on what we learnt from the study that we could not have known by looking at the texts alone. If we had looked at the texts without the ethnographic data not only are there many things we would not have known, but many of the things we might have said would likely have been right off the mark. Equally, had we just had the ethnographic data without the text analysis, we would have missed the insights provided by the explicit text analysis. The textography enabled us to see the diversity of practices across fields of study and institutions as well as gain an understanding of why this might be the case, all of which is of benefit to student writers and their supervisors.

To outline the current trajectories in digital social research and to highlight the roles of qualitative research in those trajectories.

A secondary analysis of the primary literature.

Qualitative research has shifted over time in relation to rapidly changing digital phenomena, but arguably finds itself in ‘crisis’ when faced with algorithms and ubiquitous digital data. However, there are many highly significant qualitative approaches that are being pursued and have the potential to contextualize, situate and critique narratives and practices of data.

To situate current debates around methods within longer trajectories of digital social research, recognizing their conceptual, disciplinary and empirical commitments.

Background: Human resource management (HRM) is the tactical method for a business enterprise’s optimistic and systemic administration. This study aims to identify the common and major triggering attributes and the knowledge gap between HRM and an organisation’s employee attrition rate.

Method: The employee Attrition Case Study Dataset used is an anecdotal data set that tries to figure out relevant variables that determine employee behavioural aspects towards attrition. This study investigates why attrition occurs, the major triggering attributes for employee turnover, and how it might be anticipated to employ artificial intelligence (AI) to avert corporate losses.

Results: Employees’ monthly income, age, average monthly hours, distance from home, total working years, years at the company, per cent of salary hike, number of companies worked, stock options level, job role and other factors are taken into consideration. A feature importance extraction framework was devised to investigate the various dormant factors. The findings also show feasible hypotheses that help enhance employee engagement, reinvent the worker dynamic, and higher levels of risk decrease attrition rate.

Implications: Employees’ monthly income, age, average monthly hours, distance from home, etc., are all major variables in employee attrition in the Indian IT business. This research adds to the theory development of behavioural elements in people analytics based on AI.

Purpose: Can we predict employee attrition through employee behavioural patterns advancement using AI tools.

The social and cultural duality perspective suggests dual ordering of interpersonal ties and cultural similarities. Studies to date primarily focus on cultural similarities in interpersonal dyads driven by principles such as homophily and contagion. We aim to extend these principles for sociocultural networks and investigate potentially competing micro-principles that generate these networks, taking into account not only direct dyadic overlap between interpersonal ties and cultural structures, but also the indirect interplay between the social and the cultural.

The empirical analysis utilizes social and semantic network data gathered through ethnographic studies of five creative organizations around Europe. We apply exponential random graph models (ERGMs) for multiplex networks to model the simultaneous operation of several generative principles of sociocultural structuring yielding multiplex dyads and triads that combine interpersonal ties with meaning sharing links.

The results suggest that in addition to the direct overlap of shared meanings and interpersonal ties, sociocultural structure formation is also affected by extra-dyadic links. Namely, expressive interpersonal ties with common third persons condition meaning sharing between individuals, while meaning sharing with common alters leads to interpersonal collaborations. Beyond dyads, the dual ordering of the social and the cultural thus operates as asymmetrical with regard to different types of interpersonal ties.

The paper shows that in addition to direct dyadic overlap, network ties with third parties play an important role for the co-constitution of the social and the cultural. Moreover, we highlight that the concept of network multiplexity can be extended beyond social networks to investigate competing micro-principles guiding the interplay of social and cultural structures.