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The increasing demand for high-quality logistics services has forced container shipping firms to decrease logistics service failure to retain the customers. This study thus aims to apply organizational information processing theory (OIPT) to construct a maritime supply chain collaborative decision-making model and examine its impact on logistics service performance.

In total, 142 usable questionnaires were collected from questionnaire survey. A two-step structural equation modeling approach including confirmatory factor analysis was subsequently performed to test the hypotheses.

The results show that internal information integration positively impacts external information integration, that external information integration positively impacts collaborative decision-making, and that collaborative decision-making positively impacts logistics service performance for container shipping firms. However, a relationship between internal information integration and collaborative decision-making was not found in this study.

This study primarily examines collaborative decision-making from the view of container shipping firms. Future research including other supply chain members is needed to generalize the results and could also incorporate other factors such as relationship quality and culture, into the model to address this issue.

To decrease the occurrence of logistics failures and improve service quality in the maritime logistics process, it is suggested that container shipping firms apply information technology for acquiring and assimilating logistics information internally and externally across the supply chain to facilitate decision-making.

This study contributes to the knowledge about the antecedents and impacts of collaborative decision-making for container shipping firms in Taiwan. Particularly, in line with OITP, the findings indicate that container shipping firms can facilitate logistics decision-making and strategy formulation through information integration, which in turn enhances logistics service performance.

Agile principles have been widely used in software development team practice since the creation of the Agile Manifesto. Studies have examined variables related to agile principles without systematically considering the relationships among key team, agile methodology, and process variables underlying the agile principles and how these variables jointly influence the achievement of software development agility. In this study, the authors tested a team/methodology–process–agility model that links team variables (team autonomy and team competence) and methodological variable (iterative development) to process variables (communication and collaborative decision-making), which are in turn linked to software development agility (ability to sense, respond and learn).

Survey data from one hundred and sixty software development professionals were analyzed using structural equation modeling methods.

The results support the team/methodology–process–agility model. Process variables (communication and collaborative decision-making) mediated the effects of team (autonomy and competence) and methodological (iterative development) variables on software development agility. In addition, team, methodology and process variables had different effects on the three dimensions of software development agility.

The results contribute to the literature on organizational IT management by establishing a team/methodology–process–agility model that can serve as a basis for developing a core theoretical foundation underlying agile principles and practices. The results also have practical implications for organizations in understanding and managing holistically the different roles that agile methodological, team and process factors play in achieving software development agility.

Studies of multi-sector collaborations have increased in recent years. However, the topic is still complex and lacks synthesis. Toward that end, the purpose of this paper is to investigate how collaboration is addressed in the public administration and nonprofit sector journals, and applies well-established strategic decision-making theories to shed light on possible research directions that would provide rigor to the field of collaboration.

The authors conduct a literature review of the top nonprofit and public administration journals, believing these most likely to contain articles on the topic of multi-sector collaboration.

The authors identify a number of themes, including need for clarity, temporality, call to collaborate, funding, partnering issues and processes, benefits of collaboration across three different collaborative types.

The authors embed well-known strategic decision-making theories into the themes emergent from this review and offer suggestions as to how future researchers may test strategic decision-making processes within multi-sector collaborations.

The purpose of this paper is to synthesize multi-sector, cross-sector, and other interorganizational alliance structures and processes with particular focus on their saliency in partnership/alliance decision making.

This is a conceptual paper focusing primarily on management and public administration literature that examines decision making in multi-sector, cross-sector, and other interorganizational alliances.

The paper identified that decision making takes place at every stage of the partnership process, with complexity being dependent on organizational structure and design, i.e. dyad or network. Organization structures and key processes including coordination, cooperation, and trust are critical elements that impact decision making. Trust is foundational for the development and sustainability of collaborative alliances. Many of these same characteristics are also found in strategic alliance structures and processes.

This analysis of selected literature on decision making and trust has the capacity to enhance awareness and expectation-setting for those entering a collaborative partnership. Trust is an integral and enduring component at every stage.

This study crosses the boundary between sectoral partnerships and other interorganizational alliances in the analysis of decision-making structures and processes.

This study was developed in response to the need to develop age-friendly smart living environments due to the complex demands placed on society by the ageing of the population. This study aims to analyse the potential that knowledge visualisation offers collaborative decision-making applied to the development of a multiple criteria framework supporting knowledge management (KM) through knowledge collaboration (KC) and knowledge sharing (KS) in the context of regional innovation systems (RIS).

Using a socio-technical approach, knowledgeable and experienced representatives of RIS innovation actors were brought together to develop a constructivist multiple criteria framework that integrates knowledge visualisation and collaborative decision-making techniques (i.e. cognitive mapping and system dynamics).

The study introduces a multiple criteria model supporting KM encompassing conditions and practices of RIS innovation actors facilitating and encouraging KC and KS. The potential for knowledge visualisation in collaborative decision-making is explored in great depth and illustrated in a case study setting.

The panel members who participated in this study consider our methodological proposal to be extremely versatile and see great potential for further applications in RIS contexts.

The combined use of cognitive mapping and system dynamics according to the strategic options development and analysis (SODA) approach offers a holistic and well-informed perspective on the issue in question. The literature reports no prior work of this methodological combination in the same research context.

The purpose of this study is to explore under-addressed issues of collaborative participation, decision-making, representation and inclusion in tourism governance in the twin cities of Bryan-College Station in Texas, USA. The study demonstrated that improved tourism governance has the potential to address underrepresented issues and contribute to sustainable community-based tourism (SCBT) success.

Semi-structured, face-to-face interviews were conducted with 40 tourism business owners/managers, key persons in cultural/community organizations, tourism associations, government officials and backstage staff (mainly ethnic minorities) to explore key issues relating to governance, collaborative participation and responsiveness relating to tourism development.

It was found that a collaborative decision-making process existed with significant opportunities for listening to various stakeholders with the majority being happy with how the governing agencies responded to them. However, some expressed concerns regarding participation in decision-making processes, the inclusion of their voices and issues of low job representation. These suggest the need for enhancing collaborative participation, representation and decision-making. Guided by the theory and results of the study, recommendations for more collaborative, responsive and inclusive governance have been suggested.

As one of the few studies exploring the under-addressed issues in tourism governance in SCBT operations, the study is believed to hold significance from the perspectives of sustainable tourism development.

The importance of information service offerings is directly linked to decision-making processes for buying and selling in business-to-business (B2B) companies. B2B companies intend to offer information that helps other companies choose a product or service. This paper aims to identify the relationship between the types of information offered by a B2B company in its B2B marketing strategy and the decision-making of the companies which buy products and services.

For this purpose, a data set has been consulted that contains 439 observations that are the result of transactions using customer relationship managements (CRMs) of B2B-type companies. A total of 9 different products were consulted from 20 B2B vendors that manage their transactions with CRM software for B2B operations. A total of 439 different transactions were recorded by these vendors during 2018 (n = 439) with their information service offerings strategies. The results were analyzed with the partial least squares structural equation modeling.

The results showed that the significance of the relationship between internal control factors and external control factors (H4) is the strongest one when using information services offerings strategies in a B2B environment. The results of this research can help B2B companies to improve their decision-making strategies and to define the structure of the information offered in their B2B marketing plans.

This research makes a contribution to an existing gap, which is to identify what the most important information is for purchasing companies in B2B environments and the relationship with this information, so that B2B purchasers can make good decisions thanks to the information service offerings strategy of the selling companies using CRMs.

The purpose of this paper is to present the model-driven decision support system (DSS) for small and medium manufacturing enterprises (SMMEs) that actively participates in collaborative activities and manages the planned obsolescence in production. In dealing with the complexity of such demand and supply scenario, the optimisation models are also developed to evaluate the performance of operations practices.

The model-driven DSS for SMMEs, which uses the optimisation models for managing and coordinating planned obsolescence, is developed to determine the optimal manufacturing plan and minimise operating costs. A case application with the planned obsolescence and production scenario is also provided to demonstrate the approach and practical insights of DSS.

Assessing planned obsolescence in production is a challenge for manufacturing managers. A DSS for SMMEs can enable the computerised support in decision making and understand the planned obsolescence scenarios. The causal relationship of different time-varying component obsolescence and availability in production are also examined, which may have an impact on the overall operating costs for producing manufactured products.

DSS can resolve and handle the complexity of production and planned obsolescence scenarios in manufacturing industry. The optimisation models used in the DSS excludes the variability in component wear-out life and technology cycle. In the future study, the optimisation models in DSS will be extended by taking into the uncertainty of different component wear-out life and technology cycle considerations.

This paper demonstrates the flexibility of DSS that facilitates the optimisation models for collaborative manufacturing in planned obsolescence and achieves cost effectiveness.

The purpose of this paper is to examine three perspectives on autonomy: communication management or public relations autonomy, autonomy in management theory, and the autonomy of moral philosophy.

These arguments for autonomy are combined and studied to ascertain their impact on: the contribution of the communication function to strategic management of the organization, and, the enactment of an ethics counselor role by public relations. This research examines autonomy in communication at two global organizations through 43 interviews, observation, and document analysis. Factors influencing and contributing to autonomy are discussed.

Autonomy was found to be necessary for optimal contribution to strategic management and acting as ethical counsel in the public relations function. In both ways, autonomy contributes to the stature of the communication function within an organization and the development of public relations as a profession. Autonomy should be high on the research agenda of public relations scholars and a primary goal of communication professionals.

Communication managers should work for autonomy, inclusion in the strategic management team, and a rational approach to problem solving.

This research provides important theoretical value and enormous implications for communication professionals. Many conclusions about autonomy can be drawn from this conceptual and empirical research. Using systems and excellence theory as a framework, then building on that basis with empirical research in two world‐wide organizations, the research takes a novel approach in applying and studying the autonomy concept from moral philosophy in modern business. Data show that autonomy is necessary for excellence in communication, defending against encroachment, inclusion in strategic management, using empowering or collaborative management, and enacting the role of ethics counselor. These important implications for communication management have the potential to make business more ethically and socially responsible and to enhance the overall value of the communication function within organizations.

Normalization is a crucial step in all decision models, to produce comparable and dimensionless data from heterogeneous data. As such, various normalization techniques are available but their performance depends on a number of characteristics of the problem at hand. Thus, this study aims to introduce a recommendation framework for supporting users to select data normalization techniques that better fit the requirements in different application scenarios, based on multi-criteria decision methods.

Following the proposed approach, the authors compare six well-known normalization techniques applied to a case study of selecting suppliers in collaborative networks.

With this recommendation framework, the authors expect to contribute to improving the normalization of criteria in the evaluation and selection of suppliers and business partners in dynamic networked collaborative systems.

This is the first study about comparing normalization techniques for selecting the best normalization in dynamic multiple-criteria decision-making models in collaborative networks.