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Discusses the purposes, structure, processes, and pitfalls associated with government‐business alliances built through very broad‐based strategic planning. The need for these aliances often arises from issues or threats that neither party can resolve by itself. Geovernment and business alliances exist in all societies, varying only in frequency of use and effectiveness. Very broad‐based strategic planning (VBBSP) efforts seek a broad consensus through an inclusionary approach that reaches out to embrace representatives of the relevant constituencies. Paralleling the examination of VBBSP skills and efforts, addresses the use of VBBSP approaches as a technique for developing an organizational vision among various constituents who make up an organization. Concludes not only that government‐business alliances are common and essential but also that VBBSP may be the most effective way to address the different processes and outcomes related to these alliances. VBBSP also offers considerable promise for building intra‐organizational consensus.

Following Philip Selznick’s lead in using pragmatist social science to understand issues of public concern we conducted a study of failed innovation in the commercial construction industry (CCI). We find that social heuristics – collectively constructed and maintained interpretive decision-making frames – significantly shape economic and non-economic decision-making practices. Social heuristics are the outcome of industry-based “institutionalization processes” and are widely held and commonly relied on in CCI to reduce uncertainty endemic to decision-making; they provide actors with both a priori and ex post facto justifications for economic decisions that appear socially rational to industry co-participants. In the CCI – a project-centered production network – social heuristics as shared institutions sustain network-based social order but in so doing discourage novel technologies and impede innovation. Social heuristics are actor-level constructs that reflect macro-level institutional arrangements and networked production relations. The concept of social heuristics offers the promise of developing a genuinely social theory of individual economic choice and action that is historically informed, contextually situated, and neither psychologically nor structurally reductionist.

One of the challenges in global sustainable tourism development is knowledge flow and sharing among development assistance donors and recipients in developing countries. This chapter integrates the concepts of knowledge management and consensus building to construct a virtual network, leveraging information communication technologies for identifying global tourism priorities and sharing knowledge for sustainable development. The factors and relationships that influence the effective use of professional virtual communities for knowledge sharing are identified and examined. They are integrated for proposing a conceptual framework to study effective knowledge sharing in virtual communities for global sustainable tourism development.

The Americans for Indian Opportunity (AIO), a national Indian organization concerned primarily with tribal governance issues, has sponsored numerous projects during the 1980s which suggest that better models of communication and consensus‐building are desperately needed within Indian tribal communities. Due in part to the use of forms of problem‐solving that are incongruent with tribal values and cultural patterns, many Indian communities have been paralyzed in their efforts to develop consensus on strategic plans. While many tribes have experimented with various forms of conflict management techniques, careful consideration must be given to the appropriateness of the approach employed Because the cultural traditions of Indian communities are rooted in a consensual approach to problem‐solving, dispute resolution approaches imposed by non‐Indian law and bureaucracies often conflict with tribal values. This paper reports the attempt of one tribe, the Winnebago in Nebraska, to introduce a system of planning and problem‐solving adequate for dealing with the needs of the tribal community in a culturally appropriate manner.

The paper aims to explore the gap between theory and practice in foresight and to give some suggestions on how to reduce it.

Analysis of practical foresight activities and suggestions are based on a literature review, the author's own research and practice in the field of foresight and futures studies, and her participation in the work of a European project (COST A22).

Two different types of practical foresight activities have developed. One of them, the practice of foresight of critical futures studies (FCFS) is an application of a theory of futures studies. The other, termed here as praxis foresight (PF), has no theoretical basis and responds directly to practical needs. At present a gap can be perceived between theory and practice. PF distinguishes itself from the practice and theory of FCFS and narrows the construction space of futures. Neither FCFS nor PF deals with content issues of the outer world. Reducing the gap depends on renewal of joint discourses and research about experience of different practical foresight activities and manageability of complex dynamics in foresight. Production and feedback of self‐reflective and reflective foresight knowledge could improve theory and practice.

Contemporary practical foresight activities are analysed and suggestions to reduce the gap are developed in the context of the linkage between theory and practice. This paper is thought provoking for futurists, foresight managers and university researchers.

The purpose of this paper is to reveal the co-editing mechanism aiming at content creation, and an entry of online encyclopedia is taken as a case, for the purpose of promoting and enhancing the development of wiki-based digital humanities projects (WDHPs), specifically, the projects that focus on gathering contextual information in the culture heritage domain.

An exploratory study was conducted by three steps. A representative entry’s editorial records were reorganized to obtain a data set of discussion statements (n=608), based on which linked-structures were built, and PageRank algorithm was used to analyze the co-editing process. Skewness statistic was applied to measure the consensus of co-editing, and consensus evolution over time was explored. Linear or curve fitting was performed to analyze the correlation between consensus evolution and its influential factors.

In WDHPs, co-editing activity of content creation can be considered as a large-scale group discussion, consensus can evaluate the efficiency of co-editing, which evolves with time and is influenced by the number of statements, breadth and depth of argumentation structure. Taking “Mogao Grottoes” as an example, group discussions around 15 key issues dominate the content creating process, consensus is on a rise with time, finally reaches a relatively high level, and consensus evolution is more influenced by breadth than by depth of argumentation structure, which indicates that co-editing efficiency of “Mogao Grottoes” is fine and more argumentation in a depth manner should be guided.

For researchers of WDHPs, it is beneficial to apply online encyclopedia platform combining with consensus analysis to develop WDHPs. For designers of WDHPs, the elements related to argumentation structure can be absorbed into the design to promote co-editing in an effective manner. For DH researchers, the analytic procedure can be beneficial of revealing the interest of contributors in a specific DH field.

This research is novel in comprehensively understanding co-editing mechanism of content creation in WDHPs, resulting in a three-step analytic procedure of presenting co-editing process, evaluating and improving co-editing efficiency.

Much of what the author want to say in this paper had to do with “control” “exactness,” “precision” and their declination in both: shadowing and Consensus Building Approach. The purpose of this paper is to discuss these issues.

This paper upholds two things: first, that shadowing is a field technique particularly attuned to action research as defined by Chris Argyris: “I would summarize [action-research and action-science] by saying that Kurt Lewin did three things: he was committed to understanding reality as the participants understood it, he used a combination of so-called ‘normal’ science with a narrative-integrative approach, and he tested his ideas by trying to change the things that he was studying.”

Second, that the results of such a research are best understood by the organization's management when the interpretation and decision process follow an approach based on active listening and an inclusive participatory methodology such as Consensus Building.

When this does not happen, the shadowing methodology allows a very rich research experience with no real impact on the organization's life.

Government organizations often store large amounts of data and need to choose effective data governance service to achieve digital government. This paper aims to propose a novel multi-attribute group decision-making (MAGDM) method with multigranular uncertain linguistic variables for the selection of data governance service provider.

This paper presents a MAGDM method based on multigranular uncertain linguistic variables and minimum adjustment consensus. First, a novel transformation function is proposed to unify the multigranular uncertain linguistic variables. Then, the weights of the criteria are determined by building a linear programming model with positive and negative ideal solutions. To obtain the consensus opinion, a minimum adjustment consensus model with multigranular uncertain linguistic variables is established. Furthermore, the consensus opinion is aggregated to obtain the best data governance service provider. Finally, the proposed method is demonstrated by the application of the selection of data governance service provider.

The proposed consensus model with minimum adjustments could facilitate the consensus building and obtain a higher group consensus, while traditional consensus methods often need multiple rounds of modifications. Due to different backgrounds and professional fields, decision-makers (DMs) often provide multigranular uncertain linguistic variables. The proposed transformation function based on the positive ideal solution could help DMs understand each other and facilitate the interactions among DMs.

The minimum adjustment consensus-based MAGDM method with multigranular uncertain linguistic variables is proposed to achieve the group consensus. The application of the proposed method in the selection of data governance service provider is also investigated.

This research is primarily concerned with studying the impact of brand workers' problems on brand deletion (BD) outcomes. The authors also analyze how the level of consensus achieved during BD adoption and implementation influences the impact of brand workers' problems on BD outcomes.

A questionnaire was designed to obtain data from a representative sample of 155 real cases of BD.

Findings indicate that in contexts where workers feel their jobs are threatened or challenged, BD success may be undermined. However, the company does possess one important mechanism that can alleviate the negative impact of brand workers' problems: empowering them to pave the way toward consensus-building. Results do not support a negative effect of brand workers' problems on BD time efficiency or any effect of BD time efficiency on BD's contribution to a firm's economic performance.

Managers must be aware that problems derived from brand workers' actions are especially harmful for the company when there is no consensus, such that managers must prevent deletion from occurring under these circumstances.

This pioneering study proposes and empirically validates the relationship between brand workers' problems and BD success and BD time efficiency, moderated by consensus.

Intractable conflict is a long-time violent and self-perpetuating crisis. The peacemaking revolution has the potential to stop the destructive dynamic of the conflict. The purpose of this paper is to present a contractualist model of a peacemaking revolution and its theoretical foundations. It analyzes the revolutionary peacemaking process in Northern Ireland during the 1990s in light of the contractualist model.

The paper presents a contractualist model to describe the interplay between leaders (policymakers) and people (public opinion) and its impact on the strategy to cope with situations of intractable conflict. The paper includes theoretical background and a case study analysis.

The peacemaking revolution is a process of dynamic equilibrium between peacemaking policy and public expectations for change. It progresses from one point of equilibrium to the next.

The paper intends to add a fresh perspective to the study of the peacemaking revolution, in general, and the interplay between peacemaking policy and public support in particular. It points out that a consensus-building process, which combines political-elite diplomacy and public diplomacy, has the potential to create the conditions for a peacemaking revolution. Political-elite diplomacy offers diplomatic channels for leaders to begin a peace process, support it and conclude agreements. Public diplomacy offers instruments to involve the people in the peacemaking efforts, prepare them for a change and motivate the leaderships to conclude agreements.