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In this paper a sector will be dealt with, which is lately characterized by an increase in decision‐making in a scientific rationalized way, i.e. the sector of personal social services. Decision‐making is in many cases closely related and attributable to the fact that the social services are increasingly availing themselves of personal computers. An innovation which is most often discussed in terms of technological rationalization and facilitation for the provision of personal social services. This may be the case as long as the computer is used as just another, be it a different, mode, to provide services, e.g. to do away with routine, administrative, and management tasks, such as record keeping (Bloom 1975), information retrieval systems (Rubin 1976), fiscal management (Mutschler 1983), etc.

To develop propositions on why public policies towards decreasing waiting list in health care can be expected to be unsuccessful.

On the basis of a case study of public policies directed towards the reduction of the waiting lists in health care a number of propositions are formulated explaining why this policy has turned out to be ineffective. The propositions are based on theoretical insights form the field of organizations studies about the behavior of organizations and professionals.

It is demonstrated that public policies on reducing waiting lists in the Dutch health care system are likely to be ineffective because the policy‐making strategies used are based on unrealistic assumptions about the behavior of organizations and professionals who are expected to reduce the waiting lists.

Although the propositions are based on established organization literature, empirically they are only based on one case study.

In order to develop effective policy interventions it is important to be realistic about the behavior and strategies of the actors towards which the policy is directed. Moreover, rather than directing exclusive attention to those waiting, it is important for policy makers to address the interdependencies of the organizational field in which waiting lists occur.

This paper gives directions to policy makers who need to deal with complex and interdependent problems.

The purpose of this article is to explore the effects of the interaction between team diversity and reciprocated relational preferences on task and relationship conflict in teams.

The paper reports the results of an empirical study conducted on 66 teams, of which 32 were randomly created, while 34 teams were formed through a pair matching strategy (team dating).

The results show that mutual positive preferences attenuated the positive impact of team diversity on relationship conflict within teams.

The results support the theoretical distinction between task and relationship conflict and show that close interpersonal relations within teams have a differential impact on the two types of conflict.

The results reported in the study support the use of the team dating strategy for team design in different organizational settings.

The paper introduces a new method for team formation based on reciprocated relational preferences.

Of all discoveries and inventions of the past fifty years, information technology is probably advancing more rapidly, and touching more aspects of society as a whole, than any other. Comparisons between the speed with which information technology has been developed and disseminated have been made by a number of observers. Perelman estimates that had the productivity of education increased during the last forty years as did the productivity of computers, a bachelors degree from Harvard could be attained in ten minutes at a cost of ten cents. Similarly, had the airplane advanced at the pace of the computer, the time from the Wright brothers to the Concorde would have been six months (Freedman). Finally, if automobiles had developed like computers you could buy a Rolls‐Royce for $2.75, get 3 million miles to the gallon, and have enough power to drive the Queen Elizabeth II across the Atlantic (Evans).

Cross sector collaboration, particularly the use of Multi-Sectorial Partnerships, has recently developed as a crucial element of efforts to deliver and improve public service outcomes across developing countries. Yet for collaborations initiated to respond to emergencies, these have to cope with both a fluid problem and the context of operation. We utilise a literature grounded framework and draw on publicly accessible data on the empirical case study of the National COVID-19 Task Force (NTF) in Uganda to discern important considerations for effective governance of cross-sector initiatives in emergencies. Based on the analysis, we argue that a careful mix of considerations in the structures, processes and actors realms enable collaborative initiatives to remain effective in a continually evolving and wide scale response in emergency contexts. We specifically underscore the primacy of the adoption of whole-of-government approach, cascading of identical collaboration structures to lower levels of government, adoption of a unified communication strategy, participatory resource mobilisation and active involvement of initiative's champions. We have reinforced the enduring relevance of cross-sector initiatives for addressing wicked problems, foreshadowed ingredients for more agile partnerships and mainstreamed the consideration of evolving context in the collaboration discourse.

The authors of this volume present a wide range of perspectives, case studies, and theories on partnerships for international development. The authors discuss the leadership approaches, principles, frameworks, and elements needed to develop effective university partnerships for international development. In the age of globalization, these types of international partnerships are an essential element to drive political reform, social development, and economic growth, and as such, they have become an essential element in today’s global system of higher education. Within the context of a rapidly changing higher education system, international collaborations encourage diverse and inclusive learning environments. Readers of this volume will also understand the principles for making international joint activities structurally sound and socially oriented.

At the beginning of the 21st century, multiple and diverse social entities, including the public (consumers), private and nonprofit healthcare institutions, government (public health) and other industry sectors, began to recognize the limitations of the current fragmented healthcare system paradigm. Primary stakeholders, including employers, insurance companies, and healthcare professional organizations, also voiced dissatisfaction with unacceptable health outcomes and rising costs. Grand challenges and wicked problems threatened the viability of the health sector. American health systems responded with innovations and advances in healthcare delivery frameworks that encouraged shifts from intra- and inter-sector arrangements to multi-sector, lasting relationships that emphasized patient centrality along with long-term commitments to sustainability and accountability. This pathway, leading to a population health approach, also generated the need for transformative business models. The coproduction of health framework, with its emphasis on cross-sector alignments, nontraditional partner relationships, sustainable missions, and accountability capable of yielding return on investments, has emerged as a unique strategy for facing disruptive threats and challenges from nonhealth sector corporations. This chapter presents a coproduction of health framework, goals and criteria, examples of boundary spanning network alliance models, and operational (integrator, convener, aggregator) strategies. A comparison of important organizational science theories, including institutional theory, network/network analysis theory, and resource dependency theory, provides suggestions for future research directions necessary to validate the utility of the coproduction of health framework as a precursor for paradigm change.

The initial observation of this study is the gap of research in the economic application of data spaces in wholesale. With the lowering threshold in using digital technology in innovative services wholesale is confronted with new competition in their main business – the purchase and sale of products in large numbers. Wholesale must advance in their own business creating new digital services for their customers to stay relevant competitors in their markets.

The design follows an explorative, heuristic and interdisciplinary approach (social sciences and in-formation systems) of a multiple case study combining semi-structured, open and participating observation in three case studies. The cases were set in tourism, construction, as well as manufacturing and were each scientifically accompanied for more than one year during the identification of implementation of strategies for data spaces as digital entrepreneurial path.

The study shows four strategies in the implementation of data spaces in traditional wholesale. These data spaces have their focus in (1) the traded commodity with two specificities (1a and 1b), (2) the customer and (3) the cooperation of an ecosystem of companies. Each have their own challenges, chances and specifications like the data sovereignty. These strategies are embedded in the behavior of digital entrepreneurship.

This study accompanied and observed the entrepreneurial strategies of three wholesalers discovering new opportunities enabled via data spaces. These three strategies follow different approaches offering potentials for other wholesalers.

The purpose of this paper is to explore waiting times in improving access to psychological therapies (IAPT) services before and throughout the COVID-19 pandemic. The paper aims to help develop a better understanding of waiting times in IAPT so that interventions can be developed to address them.

IAPT national data reports was analysed to determine access and in-treatment waiting times before, during and after the COVID-19 pandemic. Time-series data was used to examine referral patterns, waiting list size and waiting times between the period of November 2018 and January 2022. The data covers all regions in England where an IAPT service has been commissioned.

There was a dramatic drop in referrals to IAPT services when lockdown started. Waiting list size for all IAPT services in the country reduced, as did incomplete and completed waits. The reduction in waiting times was short-lived, and longer waits are returning.

This paper aims to contribute to the literature on IAPT waiting times both in relation to, and outside of, COVID-19. It is hoped that the conclusions will generate discussion about addressing long waits to treatment for psychological therapy and encourage further research.

To the best of the authors’ knowledge, there is no published research examining the performance of IAPT waiting times to second appointment. The paper also contributes to an understanding of how IAPT waiting times are measured and explores challenges with the system itself. Finally, it offers an overview on the impact of the COVID-19 pandemic on waiting time performance nationally.