Search results

The creation and development of candidate-politician brands, otherwise known as political co-brands, remains an under-researched area of study. This is supported by calls for more understanding on political co-brands and how they are positioned and managed by their creators. Framed by the concepts of internal brand identity and co-branding, this paper aims to investigate how political co-brand identity is constructed and managed over time, exploring alignment between the political co-brand and political corporate party brand.

An interpretivist revelatory multi-case study approach, using in-depth interviews, was conducted with three political co-brands (candidates-politicians) from the UK Conservative Party. The three cases represented constituencies across the UK from the North, Midlands and South of the country. The in-depth elite interviews were conducted July 2015 to September 2015. Methodological triangulation was also adopted to assess the coherency of emerging themes with online and offline materials and documents. A two-stage thematic analytical approach was used to interpret the findings.

This multiple case study demonstrates how successful political co-brands create and develop identities tailored to their constituency, often distinct from the corporate political brand and developed several years before electoral success at the ballot box. In addition, this study reveals that political co-brands are dichotomous in terms of strategically managing a degree of alignment with the corporate political brand yet maintaining a degree of independence.

This study builds on limited existing concepts such as co-branding and political brand identity as a means of critical application. Existing research on co-branding remains a “relatively limited” and complex area of study and generally focuses on fictitious brands. Political brand identity remains an under-researched area. This in turn supports the development and advancement of political branding as an area of study. This paper highlights the opportunities of using the strategic approach of co-branding to help conceptualise “candidates-politicians” as political brands’ which up until now, “candidate-politician brands” have been difficult to define unlike the extensive research on corporate political brands.

This study has implications for practice too. Organisations and different typologies of political brands will be able to use this political co-brand identity framework as a diagnostic mechanism to investigate their co-brands current identity, assess alignment and make strategic changes or reposition the envisaged identity if desired. Similarly, organisations can use this framework, key dimensions and factors as a blueprint to design and build new political brands at a corporate and/or local level.

This study has implications for brands beyond the world of politics. Brands can adopt the political co-brand identity framework developed in this study as a pragmatic tool to investigate internally created co-brand identity and explore alignment with the corporate party brand identity. In addition, this research adds to the limited research on non-fictitious co-brands and co-branding literature at large and addresses the calls for more research on brand identity in new settings.

Several researchers struggle with designing, writing-up and reviewing case study research, but constructing a template for describing and justifying methodological choices is – in contrast with quantitative research – undesirable due to the creative nature of qualitative research. Therefore, the purpose of this paper is to provide insight into the multitude of paths to rigorous case study research and promote rigorous case study research in the service community.

Based upon a review of seminal articles and textbooks, different paths to rigorous case study research are identified. Subsequently, these paths are compared with existing practices in case studies in service research published between March 2017 and April 2019.

Seminal articles and textbooks detail different paths to achieve rigor with regard to research purpose, design, data, analyses and write-up. Overall, the most popular paths in the service community are those proposed by Eisenhardt and Yin. Meanwhile, service researchers increasingly challenge the dichotomy between the inductive and deductive logic by choosing an abductive logic. Transparency and reflexivity are the main points of attention among service researchers doing case study research.

By providing insight into the multitude of paths to rigorous case study research along with their popularity in the service community, this paper helps service researchers to balance rigor and creativity when engaging in case study research. Additionally, this paper offers a framework for reviewing case study research in terms of rigor and creativity.

In this paper we narrate a story of working on a large project funded by an Australian Research Council Linkage grant the ‘Keeping Connected: Young People, Identity and Schooling’ project. The purpose of the study is to consider the social connection and schooling of young people who have experienced long‐term chronic illness. While the research involves both quantitative and qualitative elements, the qualitative component is the largest and involves the most researcher time and diversity. At an early stage of the project, three of the researchers working on the qualitative team consider why the study was framed as a series of case studies rather than as ethnography. The second issue considered in this paper is the different approaches to data collection, data analysis and truth claims we might take.

This paper aims to assess the quality of the case study based research approach as documented in articles published during the past 13 years, based on a synthesis of indicators for the quality criteria truth‐value, transferability, and traceability.

Content analysis of 134 case study‐based articles published in six leading logistics and supply chain management (SCM) journals between 1998 and 2010 is used to assess and evaluate the quality of the case study‐based research approach as documented in these publications.

This research provides an overview of the quality of the case study‐based research approach. Results show that the quality is generally low, supporting the ongoing, but empirically unsupported criticism on the quality of case study‐based research. The results also highlight which specific aspects authors and reviewers need to address to ensure high quality of the case study‐based research approach in published articles.

This study is limited to the analysis of published articles in six logistics and SCM journals. Further research should investigate different journals in logistics and other disciplines, and the relationship between the rigor of case study based research and its contribution to the field.

The findings give guidance to authors and reviewers in developing articles with a high‐quality case study‐based research approach and help reviewers and readers to evaluate the quality of the described approach.

The paper verifies the validity of ongoing claims for more rigor in case study‐based research and identifies areas of improvement.

Briefly maps the intellectual terrain of a generic system of enquiry — the metatheory of case study research. Draws a distinction between a generic research design and a methodology: the former is an overarching research plan, the latter refers to data‐generating processes and cognitive procedures for discerning datal patterns. Methodology is an integral part of every generic research design. General systems theory informs the metatheory on the case under study. Describes the armamentarium of case study research: topical loci in case study research; researcher's a priori notions and values; ideology/epistemology interrelations; data‐generating instruments and procedures; cognitive datalpattern processes and characteristics of case study discourse. Delineates the influences of the pragmatic unity of fact and value, the reciprocal relations between knowledge and practice, and the constraints of the researcher's intellectual vision and values. Presents the character and significance of the Heisenberg indeterminacy principle for the epistemology of the social/behavioural sciences.

Despite the advantages of the case study method, its reliability and validity remain in doubt. Tests to establish the validity and reliability of qualitative data are important to determine the stability and quality of the data obtained. However, there is no single, coherent set of validity and reliability tests for each research phase in case study research available in the literature. This article presents an argument for the case study method in marketing research, examining various criteria for judging the quality of the method and highlighting various techniques, which can be addressed to achieve objectivity, and rigorous and relevant information for planning to marketing actions. The purpose of this article is to invite further research by discussing the use of various scientific techniques for establishing the validity and reliability in case study research. The article provides guidelines for achieving high validity and reliability for each phase in case study research.

The purpose of this article is to give an overview of the development of a Virtual Research Environment (VRE) conceptual model for the management of research data at a South African university.

The research design of this article consists of empirical and non-empirical research. The non-empirical part consists of a critical literature review to synthesise the strengths, weaknesses (limitations) and omissions of identified VRE models as found in literature to develop a conceptual VRE model. As part of the critical literature review concepts were clarified and possible applications of VREs in research lifecycles and research data lifecycles were explored. The empirical part focused on the practical application of this model. This part of the article follows an interpretivist paradigm, and a qualitative research approach, using case studies as inquiry method. Case studies with a positivist perspective were selected through purposive sampling, and inferences were drawn from the sample to design and test a conceptual VRE model, and to investigate the management of research data through a VRE. Investigation was done through a process of participatory action research (PAR) and included semi-structured interviews and participant observation data collection techniques. Evaluation of findings was done through formative and summative evaluation.

The article presents a VRE conceptual model, with identified generic component layers and components that could potentially be applied and used in different research settings/disciplines. The article also reveals the role that VREs play in the successful management of research data throughout the research lifecycle. Guidelines for setting up a conceptual VRE model are offered.

This article assisted in clarifying and validating the various components of a conceptual VRE model that could be used in different research settings and disciplines for research data management.

This article confirms/validates generic layers and components that would be needed in a VRE by synthesising these in a conceptual model in the context of a research lifecycle and presents guidelines for setting up a conceptual VRE model.

This article provides a new definition for case study research. Achieving deep understanding of processes and other concept variables (e.g. actors’ perceptions of their own thinking processes, intentions and contextual influences) is identified as the principal objective of case study research. Using multiple methods to “triangulate” (i.e. confirm and deepen understanding by using multiple sources all focusing on the same process/event) within the same case is described. The article outlines the core criticisms made by case study researchers of large sample surveys. A need exists for a paradigm shift in research on organizational behavior (including modeling the antecedents of new product performance). The article outlines the telling weaknesses of case study research as seen by other researchers. The article examines Senge’s core propositions related to the “mental models” of decision participants. Details illustrate the use of specific research methods for case studies to achieve different research objectives and the combination of objectives. Finally, the article illustrates basic concept variables in a case study and 12 propositions are reviewed briefly. This report reviews classic and recent contributions in the literature on case study research.

This paper aims to analyse “how”, “why” and “where” authors use citations of Robert Yin’s classic text, Case Study Research: Design and Methods, to determine the application of methodological transparency in published case study research.

The analysis is conducted using a structured literature review methodology.

The results reveal problems of obliteration by incorporation, miscitations, appeals to ethos, rhetorical convenience and a shadow effect, also known as adumbration. The authors argue that case study research relying, either in full or in part, on Yin’s methodology should transparently describe how and which parts of the methodology have been applied. Thus, the conclusions signal some opportunities for improving transparency in the use of citations in case study research.

The analysis highlights behaviours that may lead researchers to questionable findings due to a lack of methodological transparency in developing case study research, along with some recommendations for avoiding such problems. Improving transparency is useful for readers to understand what was done, for reviewers and editors to evaluate the research, and to guide other researchers who wish to conduct case study research.

This research compares citation practices in case study research in accounting and management with a focus on citations of Robert Yin. The results build on previous studies that analyse how scholars apply case study methodology that encourages researchers to adopt greater transparency.

Blockchain possesses the potential to disrupt and reshape a plethora of industries in the next decade. However, blockchain adoption rates in technology developed countries, such as Ireland, are relatively low. Motivated by blockchain’s potential to transform sociotechnical systems, the lack of systematic inquiry pertaining to blockchain studies from an information system perspective, the authors propose the following research question: “How do organizational factors influence blockchain adoption in organizations based in a developed country?” Specifically, the purpose of this paper is to elucidate the impact of organizational factors on the adoption of blockchain and the adoption of blockchain in companies based in Ireland.

A comprehensive literature review was conducted, and the methods of qualitative content analysis were used to identify the most important technology–organization–environment (TOE) blockchain adoption factors. Organizational factors are often viewed as the most significant determinants of IT innovation adoption in organizations. Consequently, using a multiple-case study of 20 companies based in Ireland, the authors investigate how the top three organizational factors identified from the blockchain literature affected these companies decision to adopt or not adopt blockchain.

The literature review on blockchain adoption identified specific technological, organizational and environmental factors. Furthermore, the case study findings identified three patterns: top management support and organizational readiness are enablers for blockchain adoption, and large companies are more likely to adopt blockchain than small to medium-sized enterprises (SMEs). The authors explain these patterns by examining the nature of blockchain and the characteristics of Ireland as a developed country. Practical and scientific contributions are also presented.

This study makes several important scientific contributions. First, the findings revealed that top management support and organizational readiness are significant enablers of blockchain adoption. Ireland is recognized as a technology developed country; however, the findings in relation to top management support contradict existing IT adoption literature pertaining to developed countries. Second, previous IT innovation adoption literature suggests that organizations size has a positive influence on a company’s IT innovation adoption process. This study demonstrates that large organizations are more likely to not only adopt blockchain but are also more likely to conduct increased levels of blockchain research and development activities. Finally, and most significantly, the authors identified several patterns, which relate specifically to Ireland as a developed country that influenced the findings. These findings could hold particular relevance to governments and organizations of other developed countries in terms of accelerating blockchain adoption.

The findings about the low level of blockchain awareness and the lack of information pertaining to viable business use cases indicate that the Irish government could play a more significant role in promoting the benefits of blockchain technologies. Further, the findings could also encourage IT providers to formulate enhanced strategies aimed at disseminating information pertaining to blockchain technologies. Second, the positive influence of top management support and organizational readiness, particularly about core competencies, on blockchain adoption suggests that equipping managers with the requisite knowledge and skills will be crucial in adopting these IT innovations. Finally, organizations who adopted blockchain used cloud-based blockchain platforms and tools to overcome the constraints of their initial low levels of organizational readiness.

This is one of the first studies to identify specific TOE blockchain adoption factors. Further, the authors examine how the three most identified organizational adoption factors impact organizations decisions to adopt blockchain. Finally, the authors discuss how the resulting three patterns identified by examining the nature of blockchain and the characteristics of Ireland as a technology developed country.