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Academic library consortia activity has become an integral part of academic libraries’ operations. Consortia have come to assert considerable bargaining power over publishers and have provided libraries with considerable economic advantage. They interact with publishers both as consumers of publishers’ products, with much stronger bargaining power than individual libraries hold, and, increasingly, as rival publishers themselves. Are consortia changing the relationship between academic libraries and publishers? Is the role of academic library consortia placing academic libraries in a position that should and will attract the attention of competition policy regulators? Competition policy prohibits buying and selling cartels that can negatively impact the free market on which the Canadian economic system, like other Western economies, depends. Competition policy as part of economic policy is, however, only relevant where we are concerned with aspects of the market economy. Traditionally, public goods for the greater social and cultural benefit of society are not considered part of the market economic system. If the activities of academic library consortia are part of that public good perspective, competition policy may not be a relevant concern. Using evidence gained from in-depth interviews from a national sample of university librarians and from interviews with the relevant federal government policy makers, this research establishes whether library consortia are viewed as participating in the market economy of Canada or not. Are consortia viewed by librarians and government as serving a public good role of providing information for a greater social and cultural benefit or are they seen from a market-economic perspective of changing power relations with publishers? Findings show government has little in-depth understanding of academic library consortia activity, but would most likely consider such activity predominantly from a market economic perspective. University librarians view consortia from a public good perspective but also as having an important future role in library operations and in changing the existing scholarly publishing paradigm. One-third of librarian respondents felt that future consortia could compete with publishers by becoming publishers and through initiatives such as open source institutional repositories. Librarians also felt that consortia have had a positive effect on librarians’ professional roles through the facilitation of knowledge building and collaboration opportunities outside of the home institution.

Uhl-Bien and Arena (2018) presented a persuasive argument for recognizing the concept of enabling leadership as a critical form of leadership for adaptive organizations. This study aims to narratively explore the concept of enabling leadership in the context of social complexity.

To explore how leaders enable adaptive processes, Uhl-Bien and Arena (2018) called for future research using in-depth case studies of social actors centered on emergence in complex environments. In this in-depth case study, the authors pursue theory elaboration by using a form of analytically structured history process to analyze primary and secondary sources.

During archival research of Whitney Young, Jr’s largely overlooked and misunderstood leadership in the historic social drama of the 1960s US civil rights movement, the authors discovered compelling evidence to support and extend the theoretical arguments advanced by Uhl-Bien and Arena (2018).

The reflexivity associated with interpretive case approaches confronts the issue of subjectivism. The authors ask readers to judge the credibility of their arguments accordingly.

Using a relational leadership-as-practice lens, the authors interpret the dramaturgical performance Whitney Young, Jr directed to facilitate coherent emancipatory dialogue, affect the social construction of power relations and enable the adaptive space needed for social transformation to emerge.

The study aims to investigate the impact of additive manufacturing (AM) on the performance of a spare parts supply chain with a particular focus on underlying spare part demand patterns.

This work evaluates various AM-enabled supply chain configurations through Monte Carlo simulation. Historical demand simulation and intermittent demand forecasting are used in conjunction with a mixed integer linear program to determine optimal network nodal inventory policies. By varying demand characteristics and AM capacity this work assesses how to best employ AM capability within the network.

This research assesses the preferred AM-enabled supply chain configuration for varying levels of intermittent demand patterns and AM production capacity. The research shows that variation in demand patterns alone directly affects the preferred network configuration. The relationship between the demand volume and relative AM production capacity affects the regions of superior network configuration performance.

This research makes several simplifying assumptions regarding AM technical capabilities. AM production time is assumed to be deterministic and does not consider build failure probability, build chamber capacity, part size, part complexity and post-processing requirements.

This research is the first study to link realistic spare part demand characterization to AM supply chain design using quantitative modeling.

The purpose of this paper is to report on research that examined the potential affects of academic library consortia activity on the scholarly publishing cycle.

Semi‐structured interviews of 30 university librarians from across Canada and representatives from six federal government agencies involved in university funding, copyright and competition policy, were used to examine consortia activity in the broad context of the scholarly publishing cycle from the competing perspectives of the market economy and the public good. The principles of competition and copyright were used to define the theoretical premise of the research.

University librarians primarily see consortia activity as supporting academic libraries' public good role of providing access to information as equitably and as barrier‐free as possible. They saw consortia as more than just buying clubs, but also as a means for libraries to share resources and expertise. Federal government agency representatives saw consortia activity firmly anchored in the market economy, levelling the playing field between libraries and publishers, and providing libraries opportunities to leverage their budgets.

This research was unique to the Canadian situation of federal funding of universities and only a sampling of university librarians was feasible.

The results show a need to educate librarians and government funding bodies and policy makers as to the goals and outcomes of consortia activity.

At the time of the defence of the thesis this work had not been done before.

Parts formed using fused deposition modeling (FDM) can vary significantly in quality depending on the manufacturing process plan. Altering the plan profoundly affects the character of the resulting part. Although the designer and the machine user may have preferences regarding the part build and the relative importance of build outcomes such as production speed, dimensional accuracy, and surface quality, setting process variables to ensure desired results is a complex task. A multi‐objective decision support system has been developed to aid the user in setting FDM process variables in order to best achieve specific build goals and desired part characteristics. The method uses experimentation to quantify the effects of FDM process variables on part build goals, and to predict build outcomes and expected part quality. The system offers the user the ability to quantify the trade‐offs among conflicting goals while striving towards the best compromise solution.

This paper aims to review the industrial and biomedical applications of state-of-the-art fused deposition modelling (FDM)-assisted investment casting (FDMAIC). Brief literature survey of methodologies, ideas, techniques and approaches used by various researchers is highlighted and use of hybrid feedstock filament-based pattern to produce metal matrix composite is duly discussed.

Pattern replica required for investment casting (IC) of biomedical implant, machine parts, dentistry and other industrial components can be directly produced by using FDM process is presented. Relevant studies and examples explaining the suitability of FDMAIC for various applications are also presented.

Researches to optimize the conventional IC with FDM solutions and develop new hybrid feedstock filament of FDM done by researchers worldwide are also discussed. The review highlights the benefit of FDMAIC to surgeons, engineers and manufacturing organizations.

The research related to this survey is limited to the suitability and applicability of FDMAIC.

This review presents the information regarding potential IC application, which facilitates the society, engineers and manufacturing organizations by providing variety of components for assisting FDM. The information reported in this paper will serve doctors, researchers, organizations and academicians to explore the new options in the field of FDMAIC.

The purpose of the study is to investigate the impact of technological pillars of Industry 4.0 based on knowledge to adopt the supply chain performance of Thai small and medium-sized enterprises (SMEs) 4.0. In addition, to increase knowledge and understanding of how to apply knowledge in technology 4.0 to improve the efficiency of supply chains and organizations.

An integrated model was developed from applying knowledge in five technological pillars of Industry 4.0 such as Internet of things (IoTs), cloud computing, big data and analytics, additive manufacturing and cyber-security. The bibliometric analysis was used to find the relationship between the technological pillars of Industry 4.0 and the literature review. The survey questionnaires were sent to Thai SME 4.0 (manufacturing aspect). Of these, 240 useable responses were received, resulting in a response rate of 65.84%, after then, the exploratory factor analysis (EFA), confirmatory factor analysis (CFA), structural equation modeling (SEM) and validity were used to evaluate the model through IBM SPSS 21 and AMOS 22.

EFA showed the four groups of the technological pillars of Industry 4.0, such as support human, automation, real-time and security. These groups positively impact supply chain performance (increase delivery reliability, increase resource efficiency, decrease costs in the supply chain and reduce delivery time). Another important finding is that supply chain performance positively impacts organizational performance in profitability, return on investment (ROI) and sale growth.

This study is a model development to support the supply chain performance and increase understanding related to applying knowledge in technology 4.0 that remains unclear for SME 4.0.