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Large-scale text-based data increasingly poses methodological challenges due to its size, scope and nature, requiring sophisticated methods for managing, visualizing, analyzing and interpreting such data. This paper aims to propose semantic network analysis (SemNA) as one possible solution to these challenges, showcasing its potential for consumer and marketing researchers through three application areas in phygital contexts.

This paper outlines three general application areas for SemNA in phygital contexts and presents specific use cases, data collection methodologies, analyses, findings and discussions for each application area.

The paper uncovers three application areas and use cases where SemNA holds promise for providing valuable insights and driving further adoption of the method: (1) Investigating phygital experiences and consumption phenomena; (2) Exploring phygital consumer and market discourse, trends and practices; and (3) Capturing phygital social constructs.

The limitations section highlights the specific challenges of the qualitative, interpretivist approach to SemNA, along with general methodological constraints.

Practical implications highlight SemNA as a pragmatic tool for managers to analyze and visualize company-/brand-related data, supporting strategic decision-making in physical, digital and phygital spaces.

This paper contributes to the expanding body of computational, tool-based methods by providing an overview of application areas for the qualitative, interpretivist approach to SemNA in consumer and marketing research. It emphasizes the diversity of research contexts and data, where the boundaries between physical and digital spaces have become increasingly intertwined with physical and digital elements closely integrated – a phenomenon known as phygital.

The objective of this paper is to further the understanding of netnography as a research method for supply chain academics. Netnography is a method for gathering and gaining insight from industry-specific online communities. We prescribe that viewing netnography through the lens of the supply chain will permit researchers to explore, discover, understand, describe or report concepts or phenomena that have previously been studied via survey research or quantitative modeling.

To introduce netnography to supply chain research, we propose a framework to guide how netnography can be adopted and used. Definitions and directions are provided, highlighting some of the practices within netnographic research.

Netnography provides the researcher with another avenue to pursue answers to research questions, either alone or in conjunction with the dominant methods of survey research and quantitative modeling. It provides another tool in the researchers’ toolbox to engage practitioners in the field.

The development of netnography as a research method is associated with Robert Kozinets. He developed the method to study online communities in consumer behavior. We justify why this method can be applied to supply chain research, how to collect data and provide research examples of its use. This technique has room to grow as a supply chain research method.

Critical realism is an increasingly popular “lens” through which complex events, entities and phenomena can be studied. Yet detailed operationalisations of critical realism are at present relatively scarce. This study's objective here is built on existing debates by developing an open systems model of reality, a basis for designing appropriate, internally consistent methodologies.

The authors use a qualitative case study examining changing practices for client contact management in professional services firms during restrictions imposed by the COVID-19 crisis to show how the model can be operationalised across all stages of a research study.

This study contributes to the literature on qualitative applications of critical realism by providing a detailed example of how the research paradigm influenced choices at every stage of the case study process.

More importantly, this model of reality as an open system provides a tool for other researchers to use in their own operationalisation of critical realism in a variety of different settings.

Parental advocacy is an emerging area of research and policy interest in Wales and across the UK. Although there is little research in the UK context to date, international research has indicated that parental advocacy can improve the relationship between parent and professional in the field of child protection social work. This paper aims to ascertain how the implementation of a parental advocacy programme supports parents to play a meaningful role in decision-making when children’s services are working with them and their families.

This study used interviews, surveys and focus groups to obtain qualitative data from 18 parents, seven parent advocates, two advocacy managers and four social workers, to explore the potential impact of parental advocacy on decision-making. The study identified challenges in implementing parental advocacy, particularly relating to awareness of the service. Participants also discussed experiences of the child protection system and how parents are supported by advocates.

Despite challenges surrounding implementation, initial findings were encouraging, and generated examples of how parental advocacy services have helped parents to understand children’s services and develop relationships of trust with social care professionals. In doing so, this study identified potential mechanisms that may be useful to support future service delivery.

This paper and research is novel as it explores parental advocacy within the Welsh context. Although there has been research conducted into parental advocacy, this has largely come from the USA. This research comes from the evaluation of an innovative and promising parental advocacy scheme in Wales.

The lack of a definite standard for determining the sample size in qualitative research leaves the research process to the initiative of the researcher, and this situation overshadows the scientificity of the research. The primary purpose of this research is to propose a model by questioning the problem of determining the sample size, which is one of the essential issues in qualitative research. The fuzzy logic model is proposed to determine the sample size in qualitative research.

Considering the structure of the problem in the present study, the proposed fuzzy logic model will benefit and contribute to the literature and practical applications. In this context, ten variables, namely scope of research, data quality, participant genuineness, duration of the interview, number of interviews, homogeneity, information strength, drilling ability, triangulation and research design, are used as inputs. A total of 20 different scenarios were created to demonstrate the applicability of the model proposed in the research and how the model works.

The authors reflected the results of each scenario in the table and showed the values for the sample size in qualitative studies in Table 4. The research results show that the proposed model's results are of a quality that will support the literature. The research findings show that it is possible to develop a model using the laws of fuzzy logic to determine the sample size in qualitative research.

The model developed in this research can contribute to the literature, and in any case, it can be argued that determining the sample volume is a much more effective and functional model than leaving it to the initiative of the researcher.

This study aims to examine adolescents’ social media environment connected to unhealthy food marketing. As social media have become a ubiquitous part of young people’s everyday lives, marketers have also shifted their focus to these channels. Literature on this phenomenon is still scarce and often takes a quite narrow view of the role of marketing in social media. Furthermore, the experiences of the adolescents are seldom considered.

Using a sociocultural approach and netnographic methodology, this study presents findings from a research project conducted in Finland. The data consist of both social media material and focus group interviews with adolescents.

The findings elaborate on unhealthy food marketing to adolescents in social media from two perspectives: sociocultural representations of unhealthy foods in social media marketing and social media influencers connecting with adolescents.

The study broadens and deepens the current understanding of unhealthy food marketing to adolescents taking place in social media. The study introduces a novel perspective to the topic by looking at it as a sociocultural phenomenon.

The purpose of this paper is to examine the corporate social responsibility performance among small and medium enterprise (SME) owners in the United Arab Emirates (UAE) before and during COVID-19. This study shows insights into the barriers that could affect the CSR performance practices of UAE SMEs, and related implications are discussed in the study.

This study used a longitudinal qualitative research design. The research comprised 30 interviews from 15 SME owners that were studied prior to and during the pandemic. The 15 interview participants are the sole owners of these SMEs and are Emirati citizens. They were identified through personal contacts and referrals.

Study findings show that there was a clear shift during the pandemic to place more focus on employees. CSR performance practices are dominated by strategies for caring for the environment and employees. During the pandemic, the priority was paying employees at least a portion of their salary despite financial hardships and ensuring their health and well-being. Prior to the crisis, the key barrier to the implementation of CSR performance practices was a lack of knowledge. During the pandemic, barriers identified included uncertainty and financial constraints. Furthermore, all the owners believe that big corporations should be more socially responsible and SMEs should be the recipients of CSR practices. Lastly, the owners expressed their belief in the values of transparency, integrity, commitment, efficiency and responsibility.

This study is a novel attempt to gain an in-depth understanding of CSR among SMEs in the UAE in the context of a pandemic. It looks specifically at the performance practices pursued by SME owners in the UAE before and during the COVID-19 crisis.

Social entrepreneurship (SE) is a complex phenomenon designed to resolve numerous societal challenges while remaining economically viable. However, how social entrepreneurs in developing countries have deployed digital technologies to address communal challenges during the Covid-19 crisis is largely undocumented. This research examines social entrepreneurs' adoption of digital technologies, the multi-level organisational conditions, and associated innovative outcomes of engaging digital technologies.

Based on the organisational resilience theoretical framework, this research employs a qualitative methodology, comprising 38 semi-structured interviews with Nigerian SE firms, to investigate social entrepreneurs' engagement with digital technologies.

The study’s findings reveal 19 pathways through which digital technologies enabled organisational resilience outcomes by Nigerian SE firms during the Covid-19 pandemic. This allows the authors to show, via a 3 × 3 matrix, how social entrepreneurs deploy digital technologies to build proximate, dynamic, and continuous resilience in a weak institutional context.

The study’s findings enables the authors to advance the SE – digital technologies – resilience scholarship in a developing economy.

This article presents fieldwork perspectives and research reflexivity gained from the cross-national research team, with the aim of promoting better qualitative research practices in transnational research. It focuses on how the team incorporates diverse cultural perspectives and insider and outsider roles to enhance the research in the data collection process.

This article is drawn from the authors' qualitative research with 25 Japanese retirees in Thailand, addressing cultural challenges encountered by researchers in the cross-national team when conducting field research.

Our findings indicate that researchers with an emic view in the cross-national team who shared nationality and cultural background as the participants facilitated an effective recruitment process and productive collaboration in data gathering. They also served as cultural brokers, tailoring smooth communication during interviews on certain cultures, participant traits and sensitive issues. On the other hand, the outsiders helped the team uncover more transnational issues that the insiders had overlooked. Additionally, combining emic and etic perspectives helps to avoid ethnocentric narratives or purely etic and emic conclusions.

This article addresses a gap in the methodological reflections in transnational research that remains largely overlooked. Our reflection highlights the advantages of cross-national teams, which include researchers from emigration and immigration countries. Their status and roles as insiders and outsiders significantly facilitate a positive impact on the research process and increase the extent of investigating the complex cultural dynamics of transnational practices. The incorporation of emic and etic perspectives is suggested in the methodological approach for transnational migration research.

Industry 4.0 defines the application of digital technologies on business infrastructure and processes. With the increasing need to take into account the social and environmental impact of technologies, the concept of Society 5.0 has been proposed to restore the centrality of humans in the proper utilization of technology for the exploitation of innovation opportunities. Despite the identification of humans, resilience and sustainability as the key dimensions of Society 5.0, the definition of the key factors that can enable Innovation in the light of 5.0 principles has not been yet assessed.

An SLR, followed by a content analysis of results and a clustering of the main topics, is performed to (1) identify the key domains and dimensions of the Industry 5.0 paradigm; (2) understand their impact on Innovation 5.0; (3) discuss and reflect on the resulting implications for research, managerial practices and the policy-making process.

The findings allow the elaboration of a multileveled framework to redefine Innovation through the 5.0 paradigm by advancing the need to integrate ICT and technology (Industry 5.0) with the human-centric, social and knowledge-based dimensions (Society 5.0).

The study detects guidelines for managers, entrepreneurs and policy-makers in the adoption of effective strategies to promote human resources and knowledge management for the attainment of multiple innovation outcomes (from technological to data-driven and societal innovation).