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Academic libraries have endured rapid change in the past two decades that has had repercussions on how they manage their organization and deliver library services. Skyrocketing costs, especially for journals, explosive growth in new technologies, fiscal exigencies caused by a tightening of public financing of most academic institutions, demands for greater accountability, and the onslaught of electronic delivery of networked information, are just some of the major obstacles libraries are encountering (Lubans, 1996; Riggs, 1993; Shaughnessy, 1987). Customers of academic libraries are increasingly less satisfied because of limited resources and the difficulties they encounter in accessing printed material in a traditional library facility (Doughtery, 1992). The emergence of textual materials in electronic form has added a new dimension to this discontent. While such resources have the potential for meeting the information needs more dynamically, the costs for information have been exorbitant, particularly since full electronic texts have not been sufficient in coverage to supplant printed resources (Tenopir, 1993). These phenomena require academic libraries to use a more integrated and flexible approach to problem solving (Gapen, Hampton & Schmitt, 1993).

This study uses structural equation modeling to investigate the impact of ABC implementation factors (management support, clarity and consensus of ABC objectives, non-accounting ownership, and training) on quality, cost, and cycle time improvements, the relations among quality, cost, and cycle time improvements and, the influence of quality, cost, and cycle time improvement on financial performance at the business unit level. Overall, the results of the structural analyses support the theoretical model indicating that ABC implementation factors influence quality, cost, and cycle time, and partial support for the relations among quality, cost, and cycle time improvement and their effect on financial performance. When these relationships are further analyzed within the context of ABC implementation stage, adoption of advanced manufacturing practices, industry characteristics and plant size to determine if these contextual factors impact the model constructs and the relationships between the variables in the theoretical model, the results show that these contextual factors do not affect the model constructs, however, they affect the model relations.

For Higher Education Institutions (HEIs) to survive they need to be agile, to introduce innovations, and to effectively manage change. HEIs are guardians of the history, values and traditions that they reside within and represent. Effat University – established in Jeddah, Saudi Arabia – is a successful case in point presents a female HEI that is working continuously on being agile, while striking the balance between innovation and change within a tight framework of solid traditional values to ensure higher quality performance and valued organizational outcomes. This case study is presented in four sections. First, the conceptual framework supporting the case study is outlined. Then, description of Effat University IQRA-Based Quality Model follows. Then, the application of Effat University IQRA-Based Quality Model on Effat College of Engineering as a case study is elaborated. Summary and conclusions ensue.

The importance of culture is often emphasized for continuous learning and quality improvement within health care organizations. Limited empirical evidence for cultivating a culture that supports continuous learning and quality improvement in health care settings is currently available.

The purpose of this report is to characterize the evolution of a large division of physical therapists and occupational therapists in a pediatric hospital setting from 2005 to 2018 to identify key facilitators and barriers for cultivating a culture empowered to engage in continuous learning and improvement.

An ethnographic methodology was used including participant observation, document review, and stakeholder interviews to acquire a deep understanding and develop a theoretical model to depict insights gained from the investigation.

A variety of individual, social, and structural enablers and motivators emerged as key influences toward a culture empowered to support continuous learning and improvement. Features of the system that helped create sustainable, positive momentum (e.g., systems thinking, leaders with grit, and mindful design) and factors that hindered momentum (e.g., system uncertainty, staff turnover, slow barrier resolution, and competing priorities) were also identified.

Individual-level, social-level, and structural-level elements all influenced the culture that emerged over a 12-year period. Several cultural catalysts and deterrents emerged as factors that supported and hindered progress and sustainability of the emergent culture.

Cultivating a culture of continuous learning and improvement is possible. Purposeful consideration of the proposed model and identified factors from this report may yield important insights to advance understanding of how to cultivate a culture that facilitates continuous learning and improvement within a health care setting.

The entrepreneurial vision, strategic goals, organizational capabilities and processes, alone, will not be adequate to attain business success, unless there is a quality management philosophy in the company (Al-Dhaafri, Al-Swidi, & Yusoff, 2016). Successful entrepreneurial endeavours essentially rest on action, assertiveness, persistence and know-how of leadership (Azyan, Pulakanam, & Pons, 2017) who comprehend the application of quality management methods as a long-term ‘quality journey’. The appropriate implementation of a quality management system (QMS) or total quality management (TQM) system results in enhanced organizational performance (Sahoo & Yadav, 2017).

A wide range of small and medium-sized enterprises (SMEs) have nowadays been aware of the indisputable importance of quality and have reaped the benefits of TQM, having in mind that TQM is not just a method or a tool but a whole business philosophy. TQM is a systematic approach that focuses on continuous improvement of the organizational processes with the participation and contribution of all the stakeholders, so as to manage and enhance quality, productivity and customer satisfaction. It is the best way for the enterprise's growth and domination in the contemporary national and international competitive marketplace (Kriemadis, Thomopoulou, & Sioutou, 2017). According to several studies, by embracing the TQM philosophy, SMEs can compete in the global competitive environment (Womack & Roos, 1990; as cited in Karani & Bichanga, 2012; Sainis & Kriemadis, 2019; Pashiardis & Kriemadis, 1999).

The present study aims to develop a generic TQM model for SMEs in order to improve their competitiveness, productivity and quality as well as to enhance their entrepreneurial orientation.

Faced with the existential threat of COVID-19, the College of Business Administration (CBA) at Princess Nourah Bint Abdulrahman University (PNU) decided to work toward the dual goals to achieve accreditation and an effective social and educational response to the pandemic. CBA’s quality improvement process was implemented synergistically with Seligman’s (2011) PERMA well-being model, namely positive emotions, engagement, relationship, meaning, and accomplishment/achievement. The case study methodology, which was based on direct observations, faculty and students’ interviews, surveys, feedback, documents, and archival data records, allowed to capture the context and lived reality of all the participants in QAA processes. Results showed that quality improvement was facilitated through three domains: (1) governance and academic leadership, (2) teaching and learning, and (3) digitalization and technology. Within each domain, specific programs, activities, human resources, and networks were enabled through a framework based on the PERMA well-being model. As a result of this hybrid QAA well-being implementation process, CBA achieved NCAAA accreditation for its offered programs, while experiencing high levels of well-being and commitment to teaching and learning by the staff members and students. The description of CBA’s accreditation journey might be insightful for other higher education institutions (HEIs).

This chapter introduces benchmarking as a multifaceted concept based on action-oriented approach that goes beyond the simple study of a process or the search for a performance measure; through the measurement, analysis, and comparison with the best internal or external references benchmarking encourages the organization to identify areas for improvement and activate the corresponding actions. The experiences of the last 30 years brought out different types of benchmarking, defined and used in relation to the different dimensions of analysis and objectives of a benchmarking project. The analysis provides guidelines for the understanding and implementation of a benchmarking project, and emphasizes that there are no formal rules to identify the most suitable configuration of all, but different business objectives simply pave the way for methods and structures more consistent with the expected results.

Clinical front-line staff are best positioned within the organizations to identify patient safety problems and craft solutions. However, in traditional models, safety committees are led by senior executives who are not clinically responsible for patients. This top-down approach can result in missed opportunities to address patient-centered challenges and better manage the health of the defined populations served by these organizations.

To foster teamwork, enhance empowerment, and improve the patient care environment, Operations Councils led by trained front-line staff were deployed in 15 clinical areas at the Ohio State University Wexner Medical Center (OSUWMC) as a performance improvement tool.

Standardized training of Council facilitators was designed and implemented to guide the performance improvement process. Balanced scorecards were developed in each Council based on the risks and concerns of that particular clinical area. After initial implementation of the Operations Councils, patient safety events declined and team engagement improved by over 34% across the medical center; the highest changes were seen in areas where Operations Councils had been deployed. Additionally, outcome metrics including area-specific and system-wide mortality and readmissions improved after implementation.

We suggest that this type of approach may be an appropriate strategy to consider in other health care organizations as such institutions are challenged to better manage the health of their defined patient populations.