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Patterns have proven to be useful for documenting general reusable solutions to a commonly occurring problem. In recent years, several different business process management (BPM)-related patterns have been published. Despite the large number of publications on this subject, there is no work that provides a comprehensive overview and categorization of the published business process model patterns. The purpose of this paper is to close this gap by providing a taxonomy of patterns as well as a classification of 89 research works.

The authors analyzed 280 research articles following a structured iterative procedure inspired by the method for taxonomy development from Nickerson et al. (2013). Using deductive and inductive reasoning processes embedded in concurrent as well as joint research activities, the authors created a taxonomy of patterns as well as a classification of 89 research works.

In general, the findings extend the current understanding of BPM patterns. The authors identify pattern categories that are highly populated with research works as well as categories that have received far less attention such as risk and security, the ecological perspective and process architecture. Further, the analysis shows that there is not yet an overarching pattern language for business process model patterns. The insights can be used as starting point for developing such a pattern language.

Up to now, no comprehensive pattern taxonomy and research classification exists. The taxonomy and classification are useful for searching pattern works which is also supported by an accompanying website complementing the work. In regard to future research and publications on patterns, the authors derive recommendations regarding the content and structure of pattern publications.

This paper addresses the social value of commercial enterprises that are jointly owned by a government and private sector investors and where the shares are listed on a stock exchange: thus, “listed public–private enterprises” (LPPEs). The theoretical part of the paper addresses how differences in ownership patterns influence the behavior and performance of LPPEs.

We develop a conceptual taxonomy, drawing on the empirical evidence on the behavior and performance of public–private hybrid enterprises and on the application of agency theory to that evidence. The taxonomy discussion predicts how different ownership patterns affect enterprise productive efficiency and the ability of governments to achieve social goals through LPPEs. We review the empirical literature on government enterprise ownership and on the concentration of private share ownership to deduce how these matter for owner and managerial behavior and productive efficiency. We review the literature that considers the informational content that listing of an enterprise's shares on a stock exchange can provide to enterprise owners, managers and other domestic audiences with a policy interest. We employ a social welfare perspective to derive policy implications as to when the LPPE governance structure is most appropriate.

We show how the monitoring and performance weaknesses of state ownership are offset by some private ownership, particularly when combined with listing on a stock exchange. We demonstrate the effects of different governance structures on enterprise productive efficiency. We find that the LPPE structure is particularly appropriate as an alternative to nationalization or to full privatization and regulation of natural monopoly public utilities, and as an alternative to full private ownership and taxation of non-renewable natural resource extractive enterprises.

This paper explicitly addresses the question of why and how the combination of government ownership, private investor ownership and listing on an exchange is socially valuable in providing information on productive efficiency to governments.

The aim of this paper is to present an online framework for building a domain taxonomy, called TaxoLine, from Web documents automatically.

TaxoLine proposes an innovative methodology that combines frequency and conditional mutual information to improve the quality of the domain taxonomy. The system also includes a set of mechanisms that improve the execution time needed to build the ontology.

The performance of the TaxoLine framework was applied to nine different financial corpora. The generated taxonomies are evaluated against a gold-standard ontology and are compared to state-of-the-art ontology learning methods.

The experimental results show that TaxoLine produces high precision and recall for both concept and relation extraction than well-known ontology learning algorithms. Furthermore, it also shows promising results in terms of execution time needed to build the domain taxonomy.

This study aims to analyse the components of sustainable business models (SBMs) in the dairy industry, in relation to firm-relevant organisational features (size, ownership structure and production process) and through the lenses of the business model framework and the sustainable value exchange matrix (SVEM). This contribution proposes a taxonomy of emerging SBMs and sustainable value creation in the dairy industry.

This research makes use of a multiple case study approach, with cases selected in collaboration with industry experts. The selected firms are highly committed to sustainability transition. Results are drawn from qualitative data obtained from in-depth interviews and secondary sources. The interpretation phases, initially based on open coding, have been enriched by applying the components of business models (BMs) frameworks and the SVEM, and the analyses have been enhanced through an additional interpretative workshop with experts.

The authors related the BMs characteristics of some typical dairy firms transitioning to sustainability, using SBM components and taxonomies emerging in the literature, based on the formalisation of sustainability practices, the scope of operations, and the degree of integration of the three dimensions of sustainable value. These findings led to the discovery of three types of SBM in this dairy industry, referred to as “Milky Ways”.

This paper contributes to the scant literature on sustainability in dairy firms, highlighting the different paths followed by small and medium-sized enterprises (SMEs), cooperatives and large companies in remoulding their business models towards sustainability and thus achieving sustainable value creation.

This study aims to map scientific publications, intellectual structure and research trends in the sustainable business model (SBM) field. Specifically, it attempts to (1) identify the fundamental contributions of research in this area of knowledge; and (2) determine the research lines that constitute the most prominent intellectual structure. We leverage these insights to formulate and propose a future research agenda for SBM.

The authors made recourse to the bibliometric, co-citation and cluster analysis techniques. To evaluate potential patterns among articles, we analysed how articles are jointly cited. We further applied hierarchical cluster analysis to the articles and used co-citation analysis to group the interrelated articles into distinct sets.

The results enable the identification and classification of the prevailing theoretical foci in the domain of SBM: (1) SBM implementation; (2) SBM challenges; (3) institutional SBM; (4) circular SBM; and (5) emerging SBM.

This study identifies, explores, analyses and summarises the main theoretical approaches and themes surrounding SBM research to date, contributing to deepening the literature by identifying the priority areas concerning sustainable business models and encouraging future research of an internationally excellent standard.

The purpose of this study is to develop and validate a taxonomy useful for classifying the training activity preference patterns adopted by executives and for describing how these patterns relate to important workplace measures. Although many organizations hold that well-trained and developed leaders are important for organizational success, little is known about the patterns of self-developmental activities that such leaders choose to initiate and how such training impacts organizational outcomes. Understanding these patterns may be useful in characterizing leaders in terms of training interest and showing a relation between executive training and valued organizational outcomes.

Using a sample of 4,624 senior executives who completed a training activity and attitude survey, cluster analysis was used to derive a five-type training and development (T&D) taxonomy. Types varied by training activity pattern/attitudes and the proportion of well-trained and less-well-trained executives in each agency were described. The researchers collected an independent sample of employee perceptions of engagement and leader effectiveness and number of equal employment opportunity (EEO) complaints within each agency.

Organizations with higher concentrations of well-trained/developed leaders tend to have employees with more favorable workplace attitudes and higher regard for senior leaders and generate smaller proportions of EEO complaints.

Data were collected from 2011 and 2012, government leaders were sampled, and outcome analyses were conducted at the agency level rather than at the individual level.

A link between leader training and organizational outcome is useful for promoting and justifying such training to stakeholders.

Characterizing leaders by training pattern will be useful in examining training usage/interest and in crafting programs tailored to leaders of different patterns.

An executive training pattern taxonomy is unique in the literature and evidence linking such training to outcome is rare.

This study aims to identify the effective operational strategies for airlines in a pandemic that allow them to recover and bounce back smoothly.

This study adopted quantitative methodology based on secondary data published by the airlines related to operational and performance indicators. The total number of airlines surveyed was 145. The sample of study covers all the following regions: Africa, Asia, Europe, the Middle East, North America and South America. The data analysis of this research passed through several phases to compare the situation before and during pandemic period.

The effective operational strategy patterns during the outbreak of the COVID-19 pandemic comprise three hybrid strategies and one scheduling strategy. It appears from these strategy models that four strategic alternatives are available for international airlines to adopt, while two strategic alternatives are available for regional airlines. The strategy alternatives for regional and international airlines are all effective, but those of the international airlines are the more effective ones.

Previous studies rarely adopted the theory of operations strategy configuration (emphasizing taxonomies-based perspective) and the organizational resilience theory (emphasizing capability-based perspective) to identify the effective airlines operations strategy patterns in a pandemic, that allow airlines to recover and bounce back smoothly by analyzing the practices of airlines from different geographic regions worldwide.

With 160 nation‐states, ranging from the principality of Abu‐Dhabi to the republic of Zaire, depending upon each other in different ways and to different degrees, it becomes an increasingly complex task to compare, classify, rank, and forecast the relative development and opportunities offered by each.

The main goal of this paper is to establish whether there is some relationship between organizational charts (OC) and corporate social responsibility (CSR) in banks. The analysis is based on contents disclosed in their CSR/sustainability reports, as well as Mintzberg's taxonomy for OC.

This paper describes, from a theoretical point‐of‐view, both issues (CSR and social responsible actions), as well as OC patterns according to Mintzberg's taxonomy. Then, an empirical review is gained of CSR/sustainability reports published by a representative sample from the banking industry in the EU‐15. Using a triangular methodology, an attempt has been made to verify whether there is some correlation between Mintzberg's OCs patterns and their CSR contents disclosed, mainly referring to internal management issues.

The paper found no solid evidence to accept or reject a possible relationship between both variables (type of OC adopted by each bank and reporting contents revealed). However, this is a promising research line for future analysis, using a bigger sample and more CSR reporting issues.

This paper opens a new research path in CSR/Sustainability and OCs, for a possible link between both variables, a matter that has not been previously explored.

The aim of this paper is to contribute to the understanding of innovation in services. First, service firms were classified according to the degree of customization of service product and technology, because it reflects the degree of interaction between producer and consumer. This is a key element in the process of production and, hence, in the innovation developed by these firms. Second, we identified four different modes of innovation in Spanish service firms, which reflect diverse patterns of innovation according to depth of changes introduced by firms. Finally, we examined how the innovation patterns are generalized by the type of service firms, confirming that there is a relationship between production and innovation strategies. This paper yields empirical evidence from Spanish services, showing that service firms develop innovations coherently according to their production strategy.