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In “data collaboratives”, private and public organizations coordinate their activities to leverage data to address a societal challenge. This paper aims to focus on analyzing challenges and coordination mechanisms of data collaboratives.

This study uses coordination theory to identify and discuss the coordination problems and coordination mechanisms associated with data collaboratives. The authors also use a taxonomy of data collaborative forms from a previous empirical study to discuss how different forms of data collaboratives may require different coordination mechanisms.

The study analyzed data collaboratives from the perspective of organizational and task levels. At the organizational level, the authors argue that data collaboratives present an example of the bazaar form of coordination. At the task level, the authors identified five coordination problems and discussed potential coordination mechanisms to address them, such as coordination by negotiation, by third party, by standardization, to name a few.

This study is one of the first few to systematically analyze the phenomenon of “data collaboratives”.

This study can help practitioners better understand the coordination challenges they may face when initiating a data collaborative and to develop successful data collaboratives by using coordination mechanisms to mitigate these challenges.

Data collaboratives are a novel form of data-driven initiatives which have seen rapid experimentation lately. This study draws attention to this concept in the academic literature and highlights some of the complexities of organizing data collaboratives in practice.

The purpose of this paper is to explore educator collaborative inquiry in the shared workspace in professional learning communities (PLCs). Specifically, this investigation was part of an ongoing investigation of well-established PLC collaborative interactions and self-directed learning of educators as part of the shared workspace as a component of school improvement.

A qualitative design was used for this investigation. Participants were purposefully selected to provide qualitative data on existent, well-established PLCs and their practice as educators in the shared workspace. Qualitative data were collected about participant perception. Data were collected from each participant by conducting semi-structured interviews, observations, and the collection of document and artifacts.

Findings from this ongoing investigation point to positive collaborative physical interactions and intellectual discourse that lead to educator learning through the collaborative inquiry process.

Theories on PLCs and educator job-embedded professional learning are unique in this paper. The concepts of PLCs and the collaborative inquiry process have been well developed but not in the context of the shared workspace. Recent literature on effective collaborative inquiry educators undergo in PLCs as a continuing professional development model provides a foundation for the work done in this ongoing case study. Sustained collaboration and continued professional development of teaching innovations as a product of the collaborative inquiry process in the shared workspace are underdeveloped as yet but further developed in this paper.

The purpose of this paper is to propose a collaborative tracking and tracing (T&T) system that enables supply chain actors to join and leave the system in run-time without disrupting the function of the system.

A collaborative T&T system is introduced using a conceptual approach. Supporting empirical data are collected through a deductive case study of a Swedish automotive supply chain.

A collaborative T&T system based on composite and observer design patterns is an appropriate solution for inter-organizational T&T.

This research contributes to the body of knowledge in the field of logistics T&T. The conceptually developed collaborative T&T system needs to be validated empirically.

The collaborative T&T system developed conceptually here could be used as a model for the practical development of inter-organizational T&T systems.

The introduction of a collaborative T&T system, adopting the theories of software engineering and product data management, represents an original contribution to the field of T&T in logistics and transportation.

The traditional means of pursuing research by having all the parameters and processes under one roof has given way to collaborative mechanisms of performing the same task. Collaborative work increases the quality of research and it is a big contributing factor to augment the growth of the scientific knowledge. This process leads to training of new and well-informed academicians and scientists. e-Research (Electronic Research) has gained significant amount of traction as technology serves as the backbone for undertaking collaborative research. The purpose of this paper is to provide a synoptic view of existing research surrounding e-Research and suggest a data lifecycle model that can improve the outcome of collaborative research.

Systematic literature review methodology has been employed to undertake this study. Using the outcome of the literature review and the analysis of the existing data lifecycle models, an improvised version of the data lifecycle model has been suggested.

This study has brought a conceptual model for data lifecycle for collaborative research. The literature review in the domain of e-Research has shown that the focus of these papers was on the following stages of data lifecycle model: concept and design, data collection, data processing, sharing and distribution of data and data analysis.

In this paper, only journal papers have been considered and conference proceedings have not been included for literature review.

This paper suggests a conceptual model for the data lifecycle for collaborative research. This study can be useful for academic and research institutions to design their data lifecycle model.

The purpose of this paper is to investigate the influence of leaders on knowledge creation and mobilization.

This mixed methods study included three high-performing districts based on provincial assessment results and socio-economic factors. Interviews and questionnaires were used to gather data from 53 participants including: 11 principals, 11 teacher leaders, 26 teachers, and five system leaders.

The findings of the study emphasized the importance of leaders supporting knowledge creation and mobilization processes through practices such as engaging school-based knowledge influencers and fostering cultures of trust and risk taking. The author defined knowledge influencers as leaders, formal or informal, who have access to knowledge creating groups at the local and system level. These leaders influenced knowledge mobilization at different levels of the district.

A research limitation of this study was present based on the sole use of high-performing districts and schools. Participation was determined via comparisons of provincial assessment results (Ontario, Canada) and socio-economic status (SES) factors. Although causal effects are cautioned, districts and schools from various SES communities (high, medium, low) were chosen to support broad generalizations and associations.

This study provided pragmatic considerations and recommendations for system and school leaders, those charged with increasing student achievement (e.g. use of knowledge influencers and an expanded array of data use while creating knowledge).

A knowledge creation model was developed by the author based on a synthesis of the findings. The model and study will be of interest to those wishing to further implement or study the creation and mobilization of knowledge within organizations.

The purpose of this paper is to develop a collaborative agent-based web architecture and an agent-based green IS assessment tool to aid information technology (IT) practitioners in data centers assess their current green information systems (IS) practice toward attaining sustainability.

The methodology comprises that the collaborative agent-based web architecture, agents’ algorithm and the green IS assessment tool, which is validated by employing focus group questionnaire targeting IT practitioners in seven Malaysian-based enterprises that have an in-house data centers. With 105 valid samples at hand, descriptive analysis and exploratory factor analysis was utilized to determine the applicability of the implemented agent-based green IS assessment tool.

Findings reveal that the agent-based green IS assessment tool possesses the capability to evaluate benchmark and rate enterprise data centers current green IS practice. Additional findings indicate that the agent-based green IS assessment tool provide suggestions on how green IS practice can be improved in enterprise data centers.

This study only collected data from 105 IT practitioners in enterprise data centers based in Malaysia; as such results from this research cannot be generalized to other countries. Moreover, the developed collaborative agents for green IS practice assessment can only be fully deployed after domain experts has added green IS practice assessment questions and alternative answers.

This study presents an autonomous agent-based green IS assessment tool that supports the assessment of enterprise toward inclusion of sustainability considerations to enhance enterprise environmental performance.

This study provides empirical evidence for data centers efficacy leading toward a greener society for environmental conservation for future generations to come.

This study creates awareness by presenting the green IS practice to be implemented by IT practitioners in data centers. In addition, the agent-based green IS assessment tool provides a web-based platform for promoting environmental sustainability by supporting data centers toward evaluating, benchmarking and rating their current green IS practices.

The purpose of this paper is to develop an existing collaborative research methodology process (Sabri, 2018), contextualise it for application in humanitarian supply chains and test it empirically.

Building on collaborative research methodology and humanitarian supply chain literature, the Sabri’s (2018) collaborative research methodology process is further developed to comprise eight phases of collaborative research contextualised for the humanitarian supply chain domain. The process is applied in a collaborative research case of academia–practitioner knowledge co-creation in a humanitarian supply chain setting, focussing on environmental sustainability improvement. The collaborative case analysis suggests a number of refinements to the elements of the process. This study undertook two cycles of academia–practitioner collaborative research.

In testing the process, a noticeable improvement in the collaboration among different humanitarian stakeholders was observed, leading to improved stakeholder management. The implementation improved the sustainability awareness and social inclusion of the affected population. Rurality, remoteness, security issues and resistance of field staff against change were among the main challenges for supply chain researchers to engage in collaborative research in the humanitarian domain.

The paper addresses the rigour‒relevance‒reflectiveness debate in the humanitarian supply chain domain. A collaborative research methodology process derived from action research is further developed using humanitarian literature, and then it is applied in a humanitarian logistics case focussed on environmental sustainability. The present collaborative research process facilitates engaged scholarship among the humanitarian stakeholders, as the researchers’ roles move from observatory to participatory knowledge broker.

The peer-to-peer perspective on open data is an interesting topic to research, taking into account that data-driven innovations and related startups are often developed independently by civic and private stakeholders in a highly collaborative manner and are tentatively beginning to directly compete with traditional e-government solutions, providing arguably better services to citizens and businesses. In this regard, the paper aims to further debate on the potential of such independent data-driven collaboration not only to transform the traditional mechanisms of public sector innovations but also provide more democratic ways to ensure greater transparency of government and its responsibility before the society.

The research is based on a cross-country case study, resorting to the content analysis of three demonstrative cases in the development of open data-driven projects, which specifically promote peer-to-peer communication between its stakeholders. In this regard, the case study itself relies heavily on the analysis of rich empirical data that the author collected during his field studies in the Northern European region in 2015–2017, particularly in Estonia, Finland and Sweden. The practical research itself consists of three major parts, which reflect peer-to-peer perspectives of correspondingly civic, public and private stakeholders through manifested examples of related independent projects in the area.

The paper's results demonstrate that the use of peer-to-peer mechanisms in advancing related public sector reforms allows to transform the traditional understanding of e-government phenomena in a conceptually new way. E-government or its last more political interpretation – from the perspective of its peers could be regarded not necessarily as a platform to provide digital public services but as a source of raw material for various third party projects in, respectively, civic, government and business peer-to-peer dimensions of such reforms. As a result, open data provides an interesting playground to change the very nature of public sector innovations in the area.

The choice of countries for research was motivated by purposive and convenience sampling because all these countries are situated in one region, have both similarities and differences in historical, political and socioeconomic backgrounds and, therefore, provide an ideal playground to investigate open data as a context dependable phenomenon. In this regard, the unique political and socioeconomic contexts of these countries provide an interesting playground to debate on the potential of social democracy, egalitarian society and social equality, i.e. public values that are deeply embedded into the fabric of societies there, to benefit the open data movement in a fundamental manner.

This paper reports on unique practical approaches for peer-to-peer collaboration and cooperation in advancing open data-driven platforms among stakeholders. The results of the case studies in three Nordic countries, which are currently among global leaders in advancing the concept of open government, are presented in an intrinsically illustrative manner, which could help practitioners and policymakers to understand better the potential of such a peer-to-peer perspective on open data. In this regard, the models proposed, of citizen-to-citizen, business-to-business, government-to-government interactions, could be interesting to a wide audience of e-government stakeholders in many nations.

The paper also enters into philosophical debates about societal implications of digital peer-to-peer data-driven communication among people. Recent efforts to digitize almost every part of social life, starting from popularization of solutions for distant work and ending to online access to various public services, incentivize individual members of civil society to communicate in an inherently peer-to-peer way. This fact will definitely increase the demand for related digital services. Social distancing in a digital context will allow to paradoxically emancipate technically savvy and entrepreneurial people in creating new services, including using open data, which could meet the demand.

The research is intrinsically of an empirical character because recent e-government reforms in the public sector in many countries, including in the open data area, provide rich practical knowledge to test the limits of new technologies to advance society in socioeconomic and, more importantly, political development. In this regard, this paper provides the first research in analyzing open data from a unique peer-to-peer perspective with an ultimate goal of the whole investigation to draw the attention of other e-government scholars and initiate debates on the collaborative nature of the phenomena to empower civil society and ensure transparency of government.

The current and modern electrical distribution networks, named smart grids (SGs), use advanced technologies to accomplish all the technical and nontechnical challenges naturally demanded by energy applications. Energy metering collecting is one of these challenges ranging from the most basic (i.e., visual assessment) to the expensive advanced metering infrastructure (AMI) using intelligent meters networks. The AMIs’ data acquisition and system monitoring environment require enhancing some routine tasks. This paper aims to propose a methodology that uses a distributed and sustainable approach to manage wide-range metering networks, focused on using current public or private telecommunication infrastructure, optimizing the implementation and operation, increasing reliability and decreasing costs.

Inspired by blockchain technology, a collaborative metering system architecture is conceived, managing massive data sets collected from the grid. The use of cryptography handles data integrity and security issues.

A robust proof-of-concept simulation results are presented concerning the resilience and performance of the proposed distributed remote metering system.

The methodology proposed in this work is an innovative AMI solution related to SGs. Regardless of the implementation, operation and maintenance of AMIs, the proposed solution is unique, using legacy and new technologies together in a reliable way.

The purpose of this paper is to describe a quality improvement collaborative conducted in 33 Nigerian facilities to improve maternal and newborn care outcomes by increasing compliance with high‐impact, evidence‐based care standards. Intervention costs and cost‐effectiveness were examined and costs to the Niger Health Ministry (MoH) were estimated if they were to scale‐up the intervention to additional sites.

Facility‐based maternal care outcomes and costs from pre‐quality improvement collaborative baseline monitoring data in participating facilities from January to May 2006 were compared with outcomes and costs from the same facilities from June 2008 to September 2008. Cost data were collected from project accounting records. The MoH costs were determined from interviews with clinic managers and quality improvement teams. Effectiveness data were obtained from facilities' records.

The average delivery‐cost decreased from $35 before to $28 after the collaborative. The USAID/HCI project's incremental cost was $2.43/delivery. The collaborative incremental cost‐effectiveness was $147/disability‐adjusted life year averted. If the MoH spread the intervention to other facilities, substantive cost‐savings and improved health outcomes can be predicted.

The intervention achieved significant positive health benefits for a low cost. The Niger MoH can expect approximately 50 per cent return on its investment if it implements the collaborative in new facilities. The improvement collaborative approach can improve health and save health care resources.

This is one of the first studies known to examine collaborative quality improvement and economic efficiency in a developing country.