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This study aims to perform a bibliometric and systematic literature review (SLR) to elucidate the current landscape and to propose a framework that defines and explores research strands to guide the formulation of business process management (BPM) strategies anchored in digital innovations.

A bibliometric analysis of 238 papers from the last 10 years (2014–2023) that were correlated to BPM strategies and digital innovations was conducted. Additionally, a SLR was performed on 15 selected papers, making it possible to propose a framework that explored research strands through the content analysis.

A framework comprising eight research strands (value creation; ambidexterity; governance; agility in processes; strategic process management; external context and culture and integrated systems) was developed. It proposes a research agenda and provides valuable insights as a reference for formulating BPM organizational strategies anchored in digital innovations.

This study acknowledges the limitation of utilizing a single software for bibliometric analysis. The framework developed in this study has not yet been validated.

This paper provides insights to assist managers in comprehending BPM strategies anchored in digital innovations and calls for organizations to prepare for future digital needs.

This paper contributes to advancing our understanding of BPM aligned with the demands of a digital age society.

The developed framework sheds light on the current landscape and research strands that explore the association between digital innovations and BPM strategies. This provides a valuable opportunity for future qualitative and quantitative studies to explore the eight research strands presented in the framework.

The purpose of this paper is to discuss the consumerism movement in health care and the implications of price transparency for the cause. A document analysis of supplier-side sentiments suggests health-care organizations are concerned this move will hinder not help consumers.

Document analysis of a supplier community has been applied in an analysis of policy-related communication between the US Government and hospital associations.

Empirical findings suggest that at both the institutional and cultural level, responsibility for health decision-making is obscured with easily misunderstood price information.

This paper explores the applicability of document analysis as a tool to understand cultural and institutional narratives.

This paper aims to propose an analytical structure for scientific and technological parks (STPs) as innovation ecosystems based on generating knowledge spillovers.

The analytical structure is constructed using a strategic approach, with STPs being viewed as an ecosystem and their interactions with the social context based on knowledge spillovers. In the empirical phase, a case study is developed in a Brazilian STP focused on food and renewable energy, enabling the application of the proposed analytical structure.

This study proposes that STPs can be central for innovation ecosystems, coordinating activities and resources. Also, STPs generate knowledge spillovers for geographically close and external actors, expanding the impact and benefits of innovation. The integration of these two propositions composes the proposed analytical structure that emphasizes the STP as the protagonist of the discussion on ecosystem management.

This study explores the relationship between STPs, innovation ecosystems and knowledge spillovers to clarify their strategic role in fostering innovation. It integrates multiple theoretical perspectives to propose new, broadly applicable frameworks. Given the limited and recent research on STPs within innovation ecosystems, the study provides a timely opportunity to investigate the management role of STPs at the organizational level.

While comprehensive study abroad preparation encompasses a wide array of elements, the purpose of this study is to highlight a short-term study abroad (STSA) teacher’s preparatory learning experience documented through self-reported video diary reflections.

The study uses a self-study methodology, using a series of self-recorded video diaries focused on preparation learning. The video diaries serve as visual and auditory self-reflective stimuli, providing insights into preparation practices that may benefit novice STSA teachers.

The findings highlight the importance of understanding both the “self” and ensuring early expectations through video reflections, which can enhance traditional methods in STSA professional development.

This study presents an alternative STSA professional development approach using self-recorded teacher video diaries to advance practice and share insights.

Organizations often utilize external sources to acquire knowledge, and one such area of interest has been the transfer of knowledge between universities and industry (U-I). This topic has gained significant attention in recent years because U-I cooperation brings companies innovation to remain in the market and be competitive. This paper aims to develop and deepens the topic, providing a Bibliometric-Systematic Literature Review (B-SLR) on knowledge transfer (KT), cooperation and U-I, interactions, links and interdependencies of new research streams. This research pretends to summarize the state of the art of the past literature using a rigorous methodological approach.

A bibliometric analysis was performed using the Web of Science database, specifically employing Bibliographic Coupling analysis.

The literature systematization enabled the identification of four distinct clusters: (1) Drivers and Motivational Factors, (2) Specificities in the Selection of Knowledge Transfer Channels, (3) Strategic Challenges and (4) Mechanisms and Contexts.

The analysis highlights significant trends and gaps in current research, providing a comprehensive understanding of the field. Based on the literature analyzed, it was possible to outline lines for future investigation, offering valuable insights for academia and industry practitioners to enhance U-I knowledge transfer.

Knowledge is a vital strategic resource for multinational enterprises (MNEs). As MNEs expand internationally, knowledge transfer through expatriates is a crucial part of the value proposition of outward foreign direct investment. However, this is undermined if knowledge is hidden rather than shared. Given the scarcity of research on knowledge hiding in MNEs, this paper aims to investigate this phenomenon among expatriates and develops a new framework to analyze knowledge hiding.

Survey data from 201 Chinese MNE expatriates is collected and analyzed using Partial Least Squares – Structural Equation Modeling to test the relationships between knowledge hiding, organizational practices, cultural intelligence and job embeddedness. Relevant organizational practices based on the ability-motivation-opportunity enhancing framework were identified, based on 24 semi-structured qualitative interviews which guided the quantitative analysis.

The direct effects of organizational practices on all types of knowledge hiding are limited. However, organizational practices’ influence on knowledge hiding is mediated by the cultural intelligence of expatriates, and this relationship is moderated by job embeddedness.

The research advances current thinking about knowledge management and outlines both theoretical and practical implications at organizational and societal levels. It explores the mechanisms for remedying knowledge hiding through organizational practices, including the interactive effects of cultural intelligence and job embeddedness among expatriates. Organizational knowledge management strategies in MNEs need to recognize cultural differences and improve job embeddedness to form the basis of successful knowledge transfer.

Long regarded as a far-fetched notion, companies from post-socialist economies (PSEs) increasingly compete with companies from advanced economies in their domestic markets and abroad. This study identifies PSE companies' motives and determinants of outward foreign direct investment (OFDI) in advanced economies.

This study analyses Slovenian business activities in Germany by juxtaposing eight Slovenian investors and three exporters using a multiple case study approach. The authors use content analysis to examine rich data from semi-structured interviews, databases and internal and external documents to provide comprehensive and in-depth insights into PSE investments in advanced economies.

The authors identify market-seeking motives and competitive advantages which differ from those of other emerging economy companies and offer theoretical suggestions. In contrast to findings from other emerging economies, the authors identify firm- and country-specific advantages, such as high technology, high service quality, a highly educated labour force, and European Union membership, which Slovene companies have employed to enter the advanced German market.

This study represents the first application of springboard theory to explain PSE company investment in advanced economies. The authors offer contextualised explanations of PSE investments in advanced host economies, which have been lacking thus far. The authors also contribute to the scarcity of studies on the effects of supranational institutions on OFDI from emerging economies.

When facing capacity bottlenecks, manufacturers of configurable, multi-variant products may adjust the product mix to uphold the scheduled output. However, maintaining market attractiveness by choosing the right product configurations as substitutes is a non-trivial task as it involves anticipating the substitution behaviour of customers. Substitution behaviour models currently used in quantitative production planning models for configurable products are either based on domain knowledge of experts, which makes them bias-prone, or they require extensive market research. The purpose of this study is to present a data-driven approach.

Based on data science concepts, distance measures are applied to derive distances between different product configurations from historical order data. Different design options for such a distance measure are discussed regarding configurable products and tested with automotive industry data. Furthermore, the study shows ways to validate the distance results.

The experiments show that the presented distance measure represents the expected customer substitution behaviour quite well. A context-sensitive distance measure including rank information of ordinal product features is most suitable for the automotive data sets.

This study presents a new approach to model the substitution behaviour of customers. The attractiveness of a potential substitute is represented by a distance from the customer’s first-choice configuration. The presented distance measure provides an inexpensive tool using existing data instead of expensive market research. Thus, it supports the integration of substitution into quantitative production planning models that deal with a large variety of configurable products.

This study aims to examine the literature on accounting ethics education to capture and synthesise the characteristics of scholars dedicated to this area of research.

Using a combination of PRISMA systematic literature review methods and research profiling, the study collects a sample frame consisting of 278 articles published in peer-reviewed academic journals from 1970 to 2023. The articles were analysed to identify key authors of accounting ethics education research, the institutions conducting this research and the journals publishing this research.

The results indicate that research in accounting ethics education is not dominated by any single institution but is distributed across 225 institutions in 36 countries, with a significant concentration in the United States. Additionally, most articles were published in accounting or business journals, rather than in education-focused journals.

The findings provide insights into the ranking of researchers in accounting ethics education and establish benchmarks among the institutions involved in this research area. Further studies could explore the implications of these findings on future research directions.

This study offers valuable information for academics and institutions seeking to understand the landscape of accounting ethics education research and highlights areas for potential collaboration and development.

This paper addresses a gap in the literature by providing a comprehensive synthesis of the existing research on accounting ethics education and the scholarly community surrounding it.

This article proposes a Multilayer Network (MLN) model for studying business ecosystems. The model focuses on the flows of products, services and money between buyers and sellers, emphasizing that these flows form both actor-level and emergent system-level ecosystem structures.

The article examines two case studies of real estate owners and their suppliers, using financial transaction data to provide a detailed, data-driven view of business ecosystems.

The study advances real estate theory by deepening research on the digitalization of real estate owners, especially on their enterprise architectures and supplier networks. Despite size differences, both case firms have similar, complex supplier-network structures. The findings may inform enterprise architecture management and procurement practices in the real estate sector.

The MLN model defines terminology for ecosystem layers and provides methods for establishing ecosystem boundaries. This aligns with the micro-level critique in management and ecosystems research. We conclude by highlighting that event data, when available, can enhance future business ecosystem analysis by enabling the study of broader ecosystem structures with the MLN model.