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Information and findings from investigations of construction projects using qualitative methodologies such as the grounded theory methodology (GTM) are inevitably rich. When using multiple case studies, the cross‐case analysis procedure has been found overwhelming and difficult to grasp all at once. Hence, an approach using rich picture diagrams (RPD) has been applied specifically for the purpose of modelling case studies and capturing the richness of the information along the case studies' storylines. This paper aims to explain the reasoning behind and the development process of such diagrams.

The paper investigates the underlying concepts of the GTM, case study approach, and the soft system methodology (SSM) from which the RPD was originally derived. Based on the identified agreement between and consistency of both methodologies, the development of RPD to model case studies in an ongoing research project (using the GTM) is explained. The subsequent cross‐case analysis procedure is also discussed, leading to conclusions.

The paper demonstrates the applicability of the RPD originating from the SSM as a tool to present the storylines of case studies within the GTM, to improve presentation and enable thorough cross‐case analysis by providing a holistic view of the storylines.

In response to the scholarly challenge to contribute to the further development of the GTM, the paper presents the application of a tool from SSM (i.e. the RPD). Whilst enriching the techniques within the GTM, this application provides a solution for researchers and stakeholders to model case studies of construction projects.

The purpose of this paper is to investigate possible reasons for enterprise resource planning (ERP) system customization in small and medium‐sized enterprises (SMEs), with a particular focus on distinguishing influential factors of the SME context.

An exploratory qualitative research approach was employed, to identify new insights within the SME context. A multiple case study of four SMEs was conducted. Data were collected through 34 qualitative interviews with multiple informants across the four cases.

The paper reports findings from four SMEs where ERP customization has been applied to match organizational needs. First, the level and type of ERP system customization applied by the case organizations were investigated. Then, the reasons for ERP system customization were explored. The analysis identified seven possible reasons leading to ERP system customization, classified according to two phases of the ERP life‐cycle (prior to “going‐live” and after “going‐live”). Reasons specific to the SME context include unique business processes, ownership type, and organizational stage of growth.

The study is based on four cases only. Further research is needed to investigate the applicability of the findings in different contexts.

The study findings are believed to be valuable for organizations about to implement an ERP system, as well as for ERP vendors. By identifying the reasons leading to ERP system customization and investigating the effect of the SME context, the study contributes to a better understanding of ERP system implementation in SMEs.

The paper contributes to the scarce literature on reasons for ERP system customization in SMEs. By classifying the reasons into two phases of the ERP life‐cycle, the study also contributes by exploring ERP system customization practice in different phases of the ERP life‐cycle.

This paper reviews the use of case study research in operations management for theory development and testing. It draws on the literature on case research in a number of disciplines and uses examples drawn from operations management research. It provides guidelines and a roadmap for operations management researchers wishing to design, develop and conduct case‐based research.

The purpose of this paper is to investigate the engagement with integrated reporting (IR) of the Development Bank of Singapore (DBS), as one of the banks that pioneered IR. Banking industry members face critical sector-specific issues regarding the use of capitals, especially the disclosure of relational and natural capital-related information, and reporting of the outcomes of capitals. This study examines an innovative approach to accounting for multiple capitals adopted by DBS during its journey toward IR.

This empirical research follows the case study method, using semi-structured interviews with DBS’s managers, and analyzing reports and other documentation.

The authors find that DBS re-conceptualizes, re-categorizes and measures multiple capitals as a form of non-financial value using the balance sheet approach to make visible the interactions and potential tensions (trade-offs) among capitals.

Case studies are best used to understand a specific context, so the findings of this study cannot be generalized statistically. However, the study does provide insights into the banking industry that may be applicable to other organizations.

The categorization and reporting of multiple capitals using the balance sheet approach and the integration of the balanced scorecard are innovative operationalizations of the International <IR> Framework.

This study provides an innovative approach to the categorization and measurement of multiple capitals. It represents a step toward reducing the gap between research and practice on IR.

There are many investigations in design methodologies, but there are also divergences and convergences as there are so many points of view. This study aims to evaluate to corroborate and deepen other researchers’ findings, dissipate divergences and provide directing to future work on the subject from a methodological and convergent perspective.

This study analyzes the previous reviews (about 15 reviews) and based on the consensus and the classifications provided by these authors, a significant sample of research is analyzed in the design for additive manufacturing (DFAM) theme (approximately 80 articles until June of 2017 and approximately 280–300 articles until February of 2019) through descriptive statistics, to corroborate and deepen the findings of other researchers.

Throughout this work, this paper found statistics indicating that the main areas studied are: multiple objective optimizations, execution of the design, general DFAM and DFAM for functional performance. Among the main conclusions: there is a lack of innovation in the products developed with the methodologies, there is a lack of exhaustivity in the methodologies, there are few efforts to include environmental aspects in the methodologies, many of the methods include economic and cost evaluation, but are not very explicit and broad (sustainability evaluation), it is necessary to consider a greater variety of functions, among other conclusions

The novelty in this study is the methodology. It is very objective, comprehensive and quantitative. The starting point is not the case studies nor the qualitative criteria, but the figures and quantities of methodologies. The main contribution of this review article is to guide future work on the subject from a methodological and convergent perspective and this article provides a broad database with articles containing information on many issues to make decisions: design methodology; optimization; processes, selection of parts and materials; cost and product management; mechanical, electrical and thermal properties; health and environmental impact, etc.

This chapter points out that the use of a wide range of theoretical paradigms in marketing research requires researchers to use a broad range of methodologies. As an aid in doing so, the chapter argues for the use of case study research (CSR), defines CSR, and describes several CSR theories and methods that are useful for describing, explaining, and forecasting processes occurring in business-to-business (B2B) contexts. The discussion includes summaries of six B2B case studies spanning more than 60 years of research. This chapter advocates embracing the view that learning and reporting objective realities of B2B processes is possible using CSR methods. CSR methods in the chapter include using multiple interviews (2 + ) separately of multiple persons participating in B2B processes, direct research and participant observation, decision systems analysis, degrees-of-freedom analysis, ethnographic-decision-tree-modeling, content analysis, and fuzzy-set qualitative comparative analysis (fs/QCA.com). The discussion advocates rejecting the dominant logic of attempting to describe and explain B2B processes by arms-length fixed-point surveys that usually involve responses from one executive per firm with no data-matching of firms in specific B2B relationships – such surveys lack details and accuracy necessary for understanding, describing, and forecasting B2B processes.

Electronic Sports (eSports) is an emerging sector of the sports and entertainment industry experiencing an accelerated increase in consumer and sponsor demand. This paper aims to study selected cases of eSports service ecosystems, to identify similarities and differences and to understand the different roles, relationships and multiple interactions of actors involved in value co-creation processes.

This empirical paper follows the service-dominant logic to highlight value creation. Based on the sport value framework, an organizing logic for the actors in sports-related ecosystems to exchange service and co-create value, the authors apply the conceptualization of an eSports service ecosystem framework in which actors create value through their interactions. A case study approach was applied to qualitatively describe two cases of value co-creation by multiple actors during three eSports events. Case study 1a is the 2019 League of Legends World Championship Finals in Paris. Case study 1b is the 2020 League of Legends World Championship Finals in Shanghai. Case study 2 is the BLAST Premier Counter-Strike: Global Offensive Global Final 2020, which was entirely virtual.

The outcome is an empirically investigated conceptual framework of multiple actors co-creating value within a service ecosystem in eSports. The insights of the cases explain how actors interact with each other and co-create value during events in eSports ecosystems. The cases illustrate interactions in the context of eSports where the actors are connected within ecosystems. This enables further development of a value co-creation concept and a better understanding of value co-creation in eSports.

This study contributes to research by explicating a theoretically grounded framework for eSports service ecosystems based on empirical evidence. This research extends the scope of value co-creation beyond the firm–customer dyad to a service ecosystem in eSports, demonstrating the dynamic interactions of multiple actors.

The purpose of this inquiry is to examine why companies create LGBTQ-inclusive work environments and how these firms advance LGBTQ-inclusiveness through CSR practices and address challenges presented by strategic duality.

Using a qualitative multiple case study design, data was collected and then triangulated from interviews and company documents. NVivo, a qualitative research program, was used to organize, sort, query and model the data.

Several themes were identified as reasons why Fortune 500 organizations sought to create LGBTQ-inclusive work environments. Themes include a positive return on investment, advancing human rights issues within the framework of corporate social responsibility (CSR), internal organizational pressure and parity with other Minnesota companies. Findings are examined through the theoretical lens of strategic duality.

Primary theoretical implications include contributions to our understanding of strategic duality by providing a first-hand account from people in organizations that encountered imperatives that to some degree are in conflict. By design, the multiple case study methodology does not allow generalizations to be drawn beyond the organizations included in this study.

Both managers and researchers will find this study provides valuable insight on how people and organizations experience and navigate strategic duality (pairs of competing imperatives) within the context of the motivation behind creating an LGBTQ-inclusive work environment.

This inquiry provides a unique and valuable account as to why organizations choose to invest resources in creating a LGBTQ-inclusive work environment, the return on investment (ROI) and examines competing imperatives (strategic dualities) faced by management. Similar multiple case studies of this qualitative nature are rare, possibly even non-existent and, therefore, this study makes a significant contribution to the literature.

Despite considerable research on the subject, there is still some misunderstanding about what characterizes successful project delivery in construction projects. Evaluating project delivery success is crucial for organizations since it enables them to prepare for future growth through more effective project management mechanisms and rank the organization's projects for continuous improvement. There is considerable disagreement over a set of success criteria that can be applied to all kinds of projects when evaluating project delivery success, making it a complicated procedure for practitioners and scholars. This research seeks to alleviate the problem by validating and testing a systematic project delivery success model (3D integration model) in the Australian construction industry. The aim is to establish a dependable approach built upon prior research and reliable in evaluating delivery success for any project type.

Based on a novel project delivery success model, this research applies a case study methodology to analyse 40 construction projects undertaken by a single Australian project management consultancy. The research utilizes a mixed-method research approach and triangulates three sets of data. First, the project delivery success (PDS) scores of the projects are calculated by the model. Second, a qualitative analysis targeting the performance of the same projects using a different system called the performance assessment review (PAR) scores was obtained. These culminate in two sets of ranking. The third step seeks validation of results from the head of the partnering organization that has undertaken the projects.

The findings of this study indicate that the 3D integration model is accurate and reliable in measuring the success of project delivery in construction projects of various sizes, locations and durations. While the model uses six key performance indicators (KPIs) to measure delivery success, it is evident that three of these may significantly improve the likelihood of PDS: value, speed and impact. Project managers should focus on these priority aspects of performance to generate better results.

Restrictions inherent to the case study approach are identified for this mixed-method multiple-case study research. There is a limitation on the sample size in this study. Despite the researcher's best efforts, no other firm was willing to share such essential data; therefore, only 40 case studies could be analysed. Nonetheless, the number of case studies met the literature's requirements for adequate units for multiple-case research. This research only looked at Australian construction projects. Thus, the conclusions may not seem applicable to other countries or industries. The authors investigated testing the PDS in the construction sector. It can assist in improving efficiency and resource optimization in this area. Nonetheless, the same technique may be used to analyse and rank the success of non-construction projects.

Despite the research conducted previously on the PDS of construction projects, there is still confusion among researchers and practitioners about what constitutes a successful project delivery. Although several studies have attempted to address this confusion, no consensus on consistent performance metrics or a practical project success model has been formed. More importantly, (1) the ability to measure success across multiple project types, (2) the use of triple bottom line (TBL) to incorporate sustainability in evaluating delivery success and (3) the use of a complexity measurement tool to adjust delivery success scores set the 3D integration model apart from others.

The present paper explores the multiple management control systems (MCSs) involved in productivity improvement (PI) in manufacturing and how they interrelate. Research has largely neglected the multiplicity and interrelationships of these MCSs.

Drawing on an abductive case study approach, the authors collected empirical data from a global automotive supplier that produces complex systems for passenger cars. Recent PI activities are analysed to identify and explain the interrelationships among the multiple MCSs affecting these activities.

The study shows how a broad range of MCSs are involved in PI. The study identifies and explores both complementary and conflicting relationships among the MCSs and demonstrates how managers rely on a set of mechanisms to alleviate tensions and strengthen complementarities among these MCSs.

As this paper is based on a single case study, future research can contribute further generalisations (analytical and statistical) with respect to the MCSs involved in PI, how they are interrelated and which mechanisms managers use to manage their interrelationships.

Managers seeking to control and improve productivity should consider the complete control package and its interrelationships instead of focussing on each MCS separately.

The present paper contributes to the knowledge of the multiplicity and interrelationships of MCSs involved in PI and the type of managerial work required to manage their interrelationships.