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Informed decisions about sampling are critical to improving the quality of research synthesis. Even though several qualitative research synthesists have recommended purposeful sampling for synthesizing qualitative research, the published literature holds sparse discussion on how different strategies for purposeful sampling may be applied to a research synthesis. In primary research, Patton is frequently cited as an authority on the topic of purposeful sampling. In Patton’s original texts that are referred to in this article, Patton does not make any suggestion of using purposeful sampling for research synthesis. This article makes a unique contribution to the literature by examining the adaptability of each of Patton’s 16 purposeful sampling strategies to the process of qualitative research synthesis. It illuminates how different purposeful sampling strategies might be particularly suited to constructing multi‐perspectival, emancipatory, participatory and deconstructive interpretations of published research.

W. Edwards Deming, famous for his work with the Japanese following the Second World War, had a unique set of theories and approaches that were clearly his own. While much has been written about his experience and views, this article will focus on those individuals who made a significant impact on the formation of his views during the 1920s and 1930s and what he gained from each of them. Walter A. Shewhart was clearly the individual who had the most profound influence on Deming’s views and subsequent approaches to quality. But more than an influence, Shewhart was Deming’s mentor. Others who influenced Deming during this period include: Clarence Irving Lewis, Sir Ronald A. Fisher, and Jerzy Neyman. Those who wish to understand Deming’s theories can gain from studying Deming’s experience and views. In addition, a more detailed understanding of Deming can be gained by also studying the work and theories of those who influenced him.

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.

Development of theory remains an essential step in the evolution of supply chain management as an integrative business discipline. Supply chain research often involves phenomena possessing complex behavioral dimensions at both the individual and organizational levels. Such complexity can require the utilization of holistic and inductive approaches in order to more fully understand the behaviors associated with the phenomena. This paper aims to provide a step‐by‐step guide intended to increase researchers' understanding of the use of grounded theory (GT) methodology in supply chain contexts.

The paper argues for GT as an appropriate method for studying emerging supply chain phenomena using an inductive, holistic approach.

GT is positioned in a holistic framework of research methodologies. Next a step‐by‐step explanation of the grounded theory process is offered, illustrated by examples from the authors' own research.

This paper links the complex “system of systems” nature characteristic of supply chains to the need for a holistic research approach such as grounded theory. It also provides a guide for researchers, reviewers, and editors to judge sound GT. Moreover, from a practical perspective, the in‐vivo nature of GT provides recognizable solutions to managerial problems.

Libraries are closing or reducing opening hours in the UK due to budgetary cuts. Library provision for children is consequently diminishing and libraries have to justify their existence. Therefore a reliable methodology for assessing the importance of libraries is vital to demonstrate their value to children’s literacy. Two methodologies were combined to study children visiting children’s mobile libraries (CMLs). The purpose of this paper is to consider whether the combined, qualitative methodology was the correct choice.

Aspects of each methodology are examined for their appropriateness for researching children. The compatibility of their philosophical stance and the validity of combining ethnography and grounded theory is explored and questioned.

It is found that grounded theory and ethnography were the optimum combination to form a powerful research tool that allows children to be active participants in research. The combined methodology was successful because the ethnographic elements allowed the researcher to enter to the children’s world, whereas the grounded theory elements provided a structural framework, exploration into a novel research topic and ensured that a valid conclusion was drawn.

It is unusual for qualitative methodologies such as grounded theory and ethnography to be combined in order to study learning in a non-pedagogic, library environment. This paper is valuable reading for librarians, or educationalists wishing to examine how libraries aid literacy because it verifies the benefits of the combined methodology of grounded theory and ethnography and provides a template which can be used by other researchers.

The Bradford law is explored theoretically by means of a very mixed Poisson model which, it is claimed, elucidates the uncertainties surrounding the law and its applications. It is argued that Bradford succeeded in formulating an empirical regularity which has pure and hybrid forms but that all the variants can be subsumed under a simple logarithmic law which, for reasons explained, escapes exact expression in conventional frequency terms. The theoretical aspects discussed include the hybridity of form, estimations, sampling problems, the stability of ranks, homogeneity of data, and tests of significance. Some numerical examples, some simulated and some drawn from social contexts outside bibliography, are used both to illustrate theoretical issues and also to indicate the wide generality of the Bradford law. Possible applications and developments of the theory are indicated.

This paper aims to introduce the extended qualitative content analysis (EQCA) method to integrate data-reducing and data-complicating research steps when conducting qualitative research on the United Nations and other international institutions.

EQCA supplements the method of qualitative content analysis, which enables researchers to deal with large amounts of data, with two elements from grounded theory, which allow detailed analysis and interpretation of codes and sub-codes. The elements in question are axial coding and theoretical sampling.

EQCA provides a method to generate middle-range theories by combining theoretical and empirical analysis to address and theorize the complex interactions between actors, structures and norms in international institutions. The value added by the proposed method is demonstrated with a case study of a United Nations intergovernmental working group in the issue area of business and human rights.

Based on the concepts of interpretation and social causality, this paper contributes to the body of qualitative research that transcends the dichotomy between positivist and post-positivist approaches in the disciplines of international relations and international political theory.

This study aims to investigate the behavioural biases influencing the real estate market investing decisions of normal non-professional investors in India.

As the study involves the behavioural data with polytomous response format, psychometric test- graded response model (IRT approach) was used for the study with the help of STATA 14. Multi-stage stratified sampling was used to collect a sample of 560 respondents. The study used a 14-item scale representing behavioural biases derived from two broad behavioural theories, i.e. heuristics and prospect theories. Sample characteristics were checked using SPSS 20. Pre-required assumptions for IRT (i.e. local independence and unidimensionality) were tested by CFA using AMOS 20.

Five items, four of which belong to heuristics (anchoring – 2, representativeness – 1 and availability bias – 1) and one belong to prospect theory (regret aversion) are sufficient to measure the behavioural attitude of real estate investors in the Indian scenario. Item discrimination ai ranged from 0.95 to 1.52 (average value 1.29), showing moderate discrimination power of the items. The items have done a pretty good job of assessing the lower level of agreement. For the higher level of agreement, the scale came out to be less precise, with less information and higher standard error of measurement.

As the behavioural biases are often false, the study suggests the investors not to repeat these nasty biases to improve investment strategies. As they are shared and not easily changeable, understanding these biases may also help them in beating the market by acting as “noise traders”.

The traditional price index is incomplete in some essential respects. The inclusion of these behavioural biases into the construction of price index will greatly improve the traditional price index, policymakers should seriously think about it.

Shelter is one of the basic needs; a dwelling unit is needed for one to stay in, develop and contribute to economy and society. If investors try to minimise these biases and policymakers keep a track of these while making strategies, mispricing in this sector can be controlled to some extent, which will ultimately help in the well-being of society.

This study contributes to the limited research by investigating the behavioural biases influencing the real estate market investment decisions of normal non-professional investors. It contributes to the lacking academe on real estate market in India. The study has used a psychometric test, i.e. the item response theory, for evaluating the quality of the items.

There is considerable interest in the value of user-generated content (UGC) and its antecedents. Despite its growing importance, existing studies have largely ignored the effects of UGC on customers’ responses to recovery efforts in the fashion industry. The aim of this paper is to examine the extent to which UGC influences customers’ responses to providers’ service failure and recovery efforts, particularly how millennials’ interactions impact recovery efforts.

The study uses a phenomenological hermeneutics and adopts theoretical sampling to collect empirical data from three European countries (France, Italy and the UK). The authors interviewed 60 millennials who had online service failure experiences in online fashion. This methodological framework was designed to illustrate the close relationships between subject and object as well as identify that data analysis and collection are undertaken in relation to consistent iterative interpretations in an evolving process of study. Drawing on multi-theoretical lenses, using actor–network and social influence theories, this study advances understanding through the development of a new conceptual model relating to individual characteristics.

Using actor–network theory and social influence theory, this study developed a conceptual model of four customer groups’ responses to service failure based on the severity of service failure and the level of customers’ online response following service failure.

The authors suggest some pragmatic implications of their conceptual model and explain how awareness of different customer groups can lead to effective decision-making for marketers. This study provides a set of practical insights that brand managers can use to recover service failures.