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The purpose of this paper is to communicate the findings of an empirical research project based on a real world problem that involved the development of a continuous professional development (CPD) framework for a children’s integrated service workforce. In addition, to give attention to the notion that children’s integrated services have not necessarily been viewed from the perspective of conflict management and that this has meant ensuing conflicts that characterise such organisations are more often than not ignored.

A case study approach involving a mixed methodology consisting of semi-structured interviews for senior managers and service leads; a quantitative survey for frontline practitioners and focus groups for service users, carers and children.

Rather than the service being fully integrated, services were aligned, and this was reflected in the conflict between professional cultures, reinforcing an “us and them” culture. This culture had seemingly permeated all aspects of the organisation including the senior management team. It was also noted that certain systems and processes, as well as bureaucracy, within the service were seen as hindering integrated working and was in effect a catalyst for conflict.

What has become evident during the course of this empirical study is the need to further explore the functioning of children’s integrated services using conflict management theories, tools and techniques so as to understand how best to manage conflict to an optimum where an environment of creativity and productiveness is created.

Therefore, when devising a CPD framework it can be argued that there is a need to address some of the types of conflict at the micro-frontline practitioner level of the organisation, as it is this level where there is opportunity through a variety of mechanisms, for example formal and non-formal learning, ring-fenced time, attendance at conferences, team away days and shadowing opportunities can be used to achieve a greater understanding of professional roles, improve working relationships and engage in the division of tasks in a fashion that will promote collaborative working.

The extent to which a children’s integrated service can be the harbinger of a range of multi-faceted conflicts that include the jarring of professional cultures, task conflict, inter-personal incompatibilities and competing value bases cannot be underestimated. Therefore, when devising a CPD framework it can be argued that there is a need to address some of the types of conflict at the micro-frontline practitioner level of the organisation.

Through the application of conflict management theory it will be illustrated how conflict could be used to effectively steer children integrated services towards creativity and productivity through an organisational wide framework that not only embraces dissonance, but also promotes a learning environment that takes advantage of such dissonance to incorporate a hybrid of professional practice and expertise.

The purpose of this paper is to discuss the potential of online communication technologies to facilitate university‐led transdisciplinary sustainable development research and lower the ecological footprints of such research projects. A series of case studies is to be explored.

A one year project is conducted in which a series of research tasks are carried out on an online communications platform. Findings are compared to other examples from the literature.

Online communication technology can be used to facilitate transdisciplinary research tasks, saving time, money and with less environmental impact than that of face‐to‐face meetings. However, in order for online collaboration to be successful the researchers must be very organized and have strong facilitation skills.

The research takes place in a North American setting. Time zone issues and access to sufficient internet technology can be a barrier in global research collaboration.

Online communication technology can be a practical way to lower the environmental impact of the research process and lower the cost of collaborative meetings.

The outcomes of this research suggest online collaboration can play a much larger role in student and faculty research, including but not limited to online research analysis, data collection and field exploration.

To distinguish sustainable development education from environmental education and stress the importance of problem‐based interdisciplinary learning to sustainable development education.

A range of published works relating to sustainable development education are critiqued, an introduction to complexity theory is given and related to sustainable development education, and a case study is provided to demonstrate an example of incorporating sustainability into course delivery and to demonstrate problem‐based interdisciplinary learning.

Our discussion supports our claim that reconciling sustainability and development requires a complex interdisciplinary approach beyond that found in some areas of traditional environmental education.

Our literature search is not exhaustive and focuses on sustainable development education. A much greater body of literature relating to environmental education exists.

Our discussion and case study suggests practitioners designing and teaching sustainable development related programs should incorporate an interdisciplinary approach and allow for problem‐based applied learning to take place.

This paper distinguishes sustainable development education from environmental education and suggests practical courses of action for initiating sustainable development education in a meaningful manner.

A look at co‐operation in United States industry, with firms combining resources to develop, produce and market a product in an attempt to stay competitive whilst cutting the cost of developing new manufacturing technology. Outlines the formation of the National Centre for Manufacturing Sciences. Describes some typical NCMS projects and its education program. Explains Co‐operative Research and Development Agreements by which the government agrees to co‐operate on research with an industry partner by contributing any kind of resource [expertise, equipment, technology) except money. Lists some laboratories involved in robotics research and development and briefly describes their projects.

Political reorganizations like that of the national performance review in the USA fundamentally alter hierarchical relations within public agencies. This paper includes a set of formal exercises to examine two logical consequences of reinvention: the increased likelihood of coordination failures, and the reduction in political leaders' hierarchical status in the organization.

These effects are discussed in the context of a substantial change in the public organization of health services: the alteration of the US Department of Health and Human Services' structure.

The paper argues that reinvention fundamentally alters the power and status of political appointees, the standing of top leadership, and the likelihood of conflict resolution within the organization.

This is the first paper to use historically important methods of understanding conflict resolution in organizations to the most important reform effort in American public administration in the last 30 years.

Artificial neural network (ANN) models, part of the discipline of machine learning and artificial intelligence, are becoming more popular in the marketing literature and in marketing practice. This paper aims to provide a series of tests between ANN models and competing predictive models.

A total of 46 pairs of models were evaluated in an objective model-building environment. Either logistic regression or multiple regression models were developed and then were compared to ANN models using the same set of input variables. Three sets of B2B data were used to test the models. Emphasis also was placed on evaluating small samples.

ANN models tend to generate model predictions that are more accurate or the same as logistic regression models. However, when ANN models are compared to multiple regression models, the results are mixed. For small sample sizes, the modeling results are the same as for larger samples.

Like all marketing research, this application is limited by the methods and the data used to conduct the research. The findings strongly suggest that, because of their predictive accuracy, ANN models will have an important role in the future of B2B marketing research and model-building applications.

ANN models should be carefully considered for potential use in marketing research and model-building applications by B2B academics and practitioners alike.

The research contributes to the B2B marketing literature by providing a more rigorous test on ANN models using B2B data than has been conducted before.

The paper introduced the use of a hybrid system of neural networks support vector machines (NNSVMs) consisting of artificial neural networks (ANNs) and support vector machines (SVMs) to price single-family properties.

The mechanism of the hybrid system is such that its output is given by the SVMs which utilise the results of the ANNs as their input. The results are compared to other property pricing modelling techniques including the standalone ANNs, SVMs, geographically weighted regression (GWR), spatial error model (SEM), spatial lag model (SLM) and the ordinary least squares (OLS). The techniques were applied to a dataset of 3,225 properties sold during the period, January 2012 to May 2014 in Cape Town, South Africa.

The results demonstrate that the hybrid system performed better than ANNs, SVMs and the OLS. However, in comparison to the spatial models (GWR, SEM and SLM) the hybrid system performed abysmally under with SEM favoured as the best pricing technique.

The findings extend the debate in the body of knowledge that the results of the OLS can significantly be improved through the use of spatial models that correct bias estimates and vary prices across the different property locations. Additionally, utilising the result of the hybrid system is thus affected by the black-box nature of the ANNs and SVMs limiting its use to purposes of checks on estimates predicted by the regression-based models.

Transorganizational systems (TSs) are a collection of organizations that have agreed to work interdependently to accomplish a task too large in scope for a single organization. TS are organizational structures capable of addressing large-scale problems, and are vitally important. However, relative to the stand-alone organization, TS theory is under-developed and currently no comprehensive diagnostic model exits for managing TS change. Theoretically constructed diagnostic models are essential ingredients of any planned change effort. The purpose of this paper is to propose a comprehensive model for diagnosing TS.

In this paper a comprehensive model for diagnosing TS is proposed. In constructing the model existing literature is integrated with the enduring organization development work of Cummings and Worley (2015). These authors developed a comprehensive model to diagnose organizations at three levels: individual, group, and organization. This paper proposes adding a fourth, higher order level – the TS level.

The resulting diagnostic model offers theorists and practitioners a comprehensive framework for use in diagnosing TS functionality and performance.

The results of quality diagnosis are essential in managing change leading to improved TS effectiveness.

Currently no comprehensive diagnostic model is available for managing higher order change in TS. This paper aims to fill this void.

The purpose of this study is to determine the influence of project critical success factors (CSFs) on change management in the context of business process management (BPM). Despite widespread interest in BPM, the existing literature is insufficient in addressing the antecedents that contribute to change management in business process projects.

Key factors of change management success in BPM projects were initially identified in a systematic literature review (SLR) and were used as antecedents of change management through a structural equation modeling (SEM) with 464 business project stakeholders. Next, a neural network analysis allowed the key factors to be ranked non-linearly. Finally, a latent class analysis (LCA) was performed to determine the sample's heterogeneous groups based on their project management characteristics.

Project management, top management support and technological competencies were the main CSFs identified as having positive effects on change management. The most important factor is project management, followed by top management support, which plays a crucial mediating role in enabling change management. Although relevant, technological competencies were secondary in the study. Regarding project management CSF, four heterogeneous classes of individuals were determined.

Although this study provides an opportunity to observe CSFs, it does not address the need to analyze the phenomenon in different classifications of projects, regarding maturity, complexity, project management approach and other aspects that differentiate projects in a meaningful way.

The study allows practitioners to understand the critical factors underlying change management and take necessary actions to manage it, recognizing that individuals have heterogeneous profiles regarding project management.

This study pioneeringly discusses the CSFs of change management BPM projects to enable successful change management, ranking the main factors and mapping heterogeneous profiles.