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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.

The proliferation of inspirational leadership and management publications available in libraries and bookshops suggests that there are many paths to excellence. Much of the literature is written with a business or corporate audience in mind; however, it is a source of ideas, theories and models that, potentially, can be applied in public or not-for-profit organisations. One theory which has enjoyed a long history of debate and discussion in management studies is quality management, variously referred to as TQM, quality assurance, total quality control or one of the many other alternatives. In this chapter the applicability and potential benefits, as well as the challenges and obstacles, of adopting one version of total quality management in a library setting are examined.

The strategic management literature emphasizes the concept of business intelligence (BI) as an essential competitive tool. Yet the sustainability of the firms’ competitive advantage provided by BI capability is not well researched. To fill this gap, this study attempts to develop a model for successful BI deployment and empirically examines the association between BI deployment and sustainable competitive advantage. Taking the telecommunications industry in Malaysia as a case example, the research particularly focuses on the influencing perceptions held by telecommunications decision makers and executives on factors that impact successful BI deployment. The research further investigates the relationship between successful BI deployment and sustainable competitive advantage of the telecommunications organizations. Another important aim of this study is to determine the effect of moderating factors such as organization culture, business strategy, and use of BI tools on BI deployment and the sustainability of firm’s competitive advantage.

This research uses combination of resource-based theory and diffusion of innovation (DOI) theory to examine BI success and its relationship with firm’s sustainability. The research adopts the positivist paradigm and a two-phase sequential mixed method consisting of qualitative and quantitative approaches are employed. A tentative research model is developed first based on extensive literature review. The chapter presents a qualitative field study to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. The study includes a survey study with sample of business analysts and decision makers in telecommunications firms and is analyzed by partial least square-based structural equation modeling.

The findings reveal that some internal resources of the organizations such as BI governance and the perceptions of BI’s characteristics influence the successful deployment of BI. Organizations that practice good BI governance with strong moral and financial support from upper management have an opportunity to realize the dream of having successful BI initiatives in place. The scope of BI governance includes providing sufficient support and commitment in BI funding and implementation, laying out proper BI infrastructure and staffing and establishing a corporate-wide policy and procedures regarding BI. The perceptions about the characteristics of BI such as its relative advantage, complexity, compatibility, and observability are also significant in ensuring BI success. The most important results of this study indicated that with BI successfully deployed, executives would use the knowledge provided for their necessary actions in sustaining the organizations’ competitive advantage in terms of economics, social, and environmental issues.

This study contributes significantly to the existing literature that will assist future BI researchers especially in achieving sustainable competitive advantage. In particular, the model will help practitioners to consider the resources that they are likely to consider when deploying BI. Finally, the applications of this study can be extended through further adaptation in other industries and various geographic contexts.

Companies are nowadays called to manage increasingly larger and more complex quantities of data. Making good predictions and estimating a possible risky situation in advance is therefore more important than ever. The statistical tools are a key element to support quality management and production process analyses, allowing managers to anticipate, in various ways, the situations that will arise. After a general introduction to statistics, this chapter discusses the main statistical techniques used to describe, visualize, and analyze data, with particular attention to the methods that allow to verify the quality and consistency of the conclusions (i.e., confidence intervals and hypothesis verification). Finally, some advanced and widespread quality management statistical tools are presented: quality control charts, historical series, and stochastic control.