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Care of complex patients requires collaboration across hospital and community settings. Yet there is little recognition of the capabilities that healthcare workers need to effectively implement integrated care. An adaptive expertise theoretical framework can inform educational efforts that aim to give providers the abilities to navigate complexity and ambiguity in the healthcare system, including across hospital and community settings. Prior education research in the HIV sector has demonstrated that adaptive expert skills can be cultivated through education that emphasizes perspective exchange, inviting uncertainty in practice and integration of diverse perspectives on care.

These principles informed the creation of an Extension for Community Healthcare Outcomes (ECHO) in HIV Psychiatry – the first ECHO directed at a non-clinical, community health worker (CHW) audience. The goal was to improve informal collaborations across hospitals and communities.

Participation in the ECHO was robust, with significant on-camera engagement. Participants attributed success of the ECHO to key themes: explicit value placed on all kinds of knowledge (not simply clinical knowledge), emphasis on approaches for navigating ambiguity and complexity and engagement in perspective exchange for provision of integrated, team-based care. Future cycles of ECHO HIV Psychiatry are being pursued, with a focus on the development of adaptive expert capabilities and the impact on integration of care between community and hospital services.

To our knowledge, this is the only ECHO that is specifically aimed at frontline CHWs.

Design, implementation, and evaluation are all important for integrated care. However, they miss one critical factor: education. The authors define “integrated care education” as meaningful learning that purposefully supports collaboration and the development of adaptive expertise in integrated care. The ECHO (Extensions for Community Health Outcomes) model is a novel digital health solution that uses technology-enabled learning (TEL) to facilitate, support, and model integrated care education. Using ECHO Concussion as a case study, the authors describe the effects of technology-enabled integrated care education on the micro-, meso-, and macro-dimensions of integrated care.

This case study was constructed using data extracted from ECHO Concussion from video-archived sessions, participant observation, and internal program evaluation memos. The research team met regularly to discuss the development of relevant themes to the dimensions of integrated care.

On the micro-level, clinical integration occurs through case-based learning and the development of adaptive expertise. On the meso-level, professional integration is achieved through the development of the “specialist generalist,” professional networks and empathy. Finally, on the macro-level, ECHO Concussion and the ECHO model achieve vertical and horizontal system integration in the delivery of integrated care. Vertical integration is achieved through ECHO by educating and connecting providers across sectors from primary to quaternary levels of care. Horizontal integration is achieved through the establishment of lateral peer-based networks across sectors as a result of participation in ECHO sessions with a focus on population-level health.

This case study examines the role of education in the delivery of integrated care through one program, ECHO Concussion. Using the three dimensions of integrated care on the micro-, meso-, and macro-levels, this case study is the first explicit operationalization of ECHO as a means of delivering integrated care education and supporting integrated care delivery.

Enterprise architecture (EA) is a means of a high level of abstraction of a business’ levels which helps organise planning and taking better decisions. Evidence has shown that the scope of EA is not restricted to technology planning, but the lack of business strategy and processes is the most common problem of EA frameworks. Consequently, a challenge stems from the fact that the formulation of strategy should not be modelled separately but as a holistic approach. The purpose of this paper is to evaluate the contemporary problems in existing EA modelling frameworks concerning the optimisation of business strategy concepts and to identify areas for improvement.

Studies were spotted using a three phased literature review methodology which was suggested by Webster and Watson (2002).

Although, previous studies have attempted to use tools and models to visualise the technological business planning, limited previous study has focussed on modelling strategic planning. Due to issues concerning the lack of guidelines for modelling business strategy, a holistic approach is needed to be made.

The paper contributes to the existing literature by assessing the current EA modelling languages and their skilfulness to modelling strategy. Moreover, it contributes to the determination of difficulties in modelling, as well as to the examination of ease of use of language in the context of strategy. Second, this paper provides an overview to practitioners who would like to develop effective EA modelling projects, as well as to architects who try to solve the problems of business complexity.

The purpose of this paper is to conduct a literature review to provide an overview of surveys focussing on business process management (BPM)/business process orientation (BPO) or on BPM-related topics in order to describe the status quo, uncover trends, classify survey contributions and assess the possible further development of survey research.

In order to achieve the research goals, the authors conduct a literature review. The authors analyze the retrieved literature by means of a developed analysis framework which allows the authors to examine the surveys from the meta-perspective and content-based perspective.

A lot of surveys focussing on BPM/BPO or on BPM-related topics have been published in German- and English-speaking literature over the last years. Nevertheless, the authors find out that while some topics, countries/regions and industries are well explored others were neglected in the past. Moreover, the authors provide first evidence that companies have a different BPM demand. Finally, the authors conclude that although the implications of the incorporated surveys provide a good starting point for practitioners they seem to be too abstract to be helpful for them. Thus, the authors recommend the conduction of qualitative research endeavors to develop adaptable theories for practitioners.

This literature review focusses on survey research in BPM. It could be repeated in order to verify the findings and moreover to track progress. However, although the authors followed the steps proposed for a literature review, the selection of relevant articles might be a limitation of this paper.

The literature review provides an overview of surveys focussing on BPM/BPO or on BPM-related topics that have been published so far. The developed and strictly applied analysis framework supports a systematic analysis of survey research and could therefore provide a detailed picture of the current state of this research field. To the best of the authors’ knowledge, no comparable literature review has been undertaken until now.

This paper aims to explore the requirements of organizational knowledge management initiatives using requirements engineering techniques, identifying the optimal techniques configuration and serving as a management tool for knowledge engineers.

The method is selection attributes. Knowledge management enablers are characterized and mapped with the coverage capabilities of requirements engineering techniques, using the attributes of the elicited object and a box-plot analysis. The information is gathered from 280 references, 32 companies and 16 experts in requirements engineering.

Requirements of organizational knowledge management initiatives are got optimally by combining interviews, use cases, scenarios, laddering and focus group techniques. The requirements of structure and processes are more complex to identify, while culture requirements are the best covered.

Knowledge management enablers are analyzed according to the current studies and comprehension of engineering techniques.

Knowledge engineers need to consider the coverage capabilities of engineering techniques to design an optimal requirement identification and meet the objectives of organizational knowledge acquisition initiatives. Requirement engineers can improve the requirements identification by a staged selection process.

The requirements of knowledge management initiatives that impact the community can be identified and traced to ensure the knowledge objectives. Requirements related to culture and people, like shared values, beliefs, and behaviors, are also considered.

To the best of the authors’ knowledge, this is the first study about formal requirement identification of knowledge management initiatives in the organizational context, providing the optimal configuration. A novel staged process is proposed for requirements engineering techniques selection, analyzing the enablers at component level and identifying the attributes associated with the elicited object.

A literature review was conducted in order to establish a detailed definition of a knowledge-intensive process (KiP). Moreover, relevant theories from humanities – especially the fields of linguistics and philosophy – were thoroughly researched and adapted for establishing descriptive and analytical foundations for the phenomena involved. Finally, a cognitive business process management (BPM) theory was proposed in order to assess how sufficient are its respective explanatory and predictive powers. This study aims to discuss the aforementioned objective.

This study proposes a novel theory for KiPs that describe the process flow based on the participants' interactions and their beliefs, desires and intentions as the main drivers of the process enactment and execution.

The proposal puts forth a comprehensive definition of a KiP, depicting knowledge intensity, participant interaction and decision-making. The inner dynamics of each of these two elements (as well as other associated elements) are described as an information systems (IS) theory that enables the study of KiPs in detail, going beyond the typical techniques of the BPM field and common obstacles.

A theory proposal for KiP that applies concepts from speech act theory and intentional states as the main drivers for understanding the process dynamics are, to the best of the authors' knowledge, not present at the literature. Being an original proposal, the real-world scenario discussed brings up the explanatory and predictive powers of the theory as well as its innovative value for research in the field.

In the Web 2.0 era, users massively communicate through social networking services (SNS), often under false expectations that their communications and personal data are private. This paper aims to analyze privacy requirements of personal communications over a public medium.

This paper systematically analyzes SNS services as communication models and considers privacy as an attribute of users’ communication. A privacy threat analysis for each communication model is performed, based on misuse scenarios, to elicit privacy requirements per communication type.

This paper identifies all communication attributes and privacy threats and provides a comprehensive list of privacy requirements concerning all stakeholders: platform providers, users and third parties.

Elicitation of privacy requirements focuses on the protection of both the communication’s message and metadata and takes into account the public–private character of the medium (SNS platform). The paper proposes a model of SNS functionality as communication patterns, along with a method to analyze privacy threats. Moreover, a comprehensive set of privacy requirements for SNS designers, third parties and users involved in SNS is identified, including voluntary sharing of personal data, the role of the SNS platforms and the various types of communications instantiating in SNS.

The aspect‐oriented (AO) paradigm is first proposed to deal with programing modularity issues, but different researchers have been exploring AO concepts in the designing and definition of software systems. The goal of this paper is to discuss and present a proposal that addresses the application of AO concepts to the design of business processes (BPs) in order to improve usability and understandability of process models.

The paper departs from previous work on analyzing the application of AO for software design. The observations were backed by a case study, which was used to illustrate the issues by means of examples.

The paper presents findings on important issues related to the integration of AO paradigm and BP modeling, such as crosscutting representation, crosscutting composition, quantification, and join point exposure.

The paper explores a new frontier: the application of AO concepts to the design of BPs. As of now, few works have explored this new view on process modularity. The paper claims that application of AO concepts to the design of BPs is important in the consideration of usability and understandability. Its contributions are also backed by a prototype process editor, CrossOryx, a web‐based editor for modeling process using AO concepts.

The purpose of this paper is to contribute to the extant literature about the co-evolvement of Business Process Management (BPM) and the Internet of Things (IoT) by proposing the IoT-enabled Context-aware BPM (IoT-CaBPM) framework to bridge from the IoT infrastructure to context-aware business processes.

Motivated by the “Three Waves” of BPM research, IoT-enabled context-awareness is, therefore, expected to be achieved for enhancing the business process design, which pilots a new wave of BPR (Business Process Redesign/Reengineering) to enable the business process coevolve with IoT and analytics. This paper reports an illustrative case study of BPR in a Chinese bulk port, one of the hub seaports that widely adopted IoT technologies over the last few years.

The IoT implementation and data analytics has increased the efficiency and improve the monitoring effectively. The proposed IoT-CaBPM framework availably helps to identify and match nodes of IoT devices, business decisions and analytic models in order to redesign a business process towards context-aware variability. As IoT is rapidly becoming the new dominant IT paradigm is moving towards mature implementation in various industries, the corresponding BPR must be planned and executed strategically for achieving better benefits.

Despite some research extend BPM standard by integrating IoT devices as a sort of resources or report generically that the ports operations are affected by IoT, there is still a lack of layers from the IoT infrastructure to context-aware business processes. An industrial BPR case with business models in detail is also a lack for presenting the specific implications and effectiveness of the adoption of such technologies. This paper fills in this gap.

The primary goal of this review is to identify emerging themes in the cold supply chain (CSC) and their future research directions, methodologies, and theories.

The review looks at CSC related articles from Scopus database published in the years 2000–2020. Thereafter, bibliometric and co-citation analyses have been conducted to identify emerging themes, methodologies, and theoretical perspectives related to CSC management.

This study revealed a clear research gap in CSC literature with emerging themes relevant to diverse aspects. Primarily, the most prominent authors, methodologies, and theories were identified from bibliometric analysis. Next, we generated clusters to identify the insights of each cluster using co-citation analysis. Consequently, the significance of clusters concerning the number of articles, theoretical frameworks, methodologies, and themes was recognized. Finally, a few future research questions regarding emerging themes have been identified.

The importance of co-citation and bibliometric analyses in studying the evolution of research over a definite time is emphasized in this work. As per emerging themes, implementing digital technologies has increased the efficiency of traditional CSC and transformed it into digital CSC.

As per the authors' knowledge, this work is the first in literature to explore the significance of identifying emerging areas and future research directions in managing CSC through literature review based on bibliometric and co-citation analysis.