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In the business world, especially in manufacturing or quality management, the term Six Sigma usually refers to a set of tools and methodologies developed by Motorola to improve processes by eliminating defects. So why should the HR professional care what Six Sigma is or how it can be applied in the HR function? According to the specialists at Orion Partners, there are ten key reasons: * to create excellence in process delivery; * to reduce defects; * to increase efficiency; * to create a quality focused mindset; * to benefit from best practice; * to bring clarity to the processes of HR; * to use a structured scientific approach; * to speak the same language and improve communication; * to gain control over your processes; * and to strengthen your business case. Mircea Albeanu and Ian Hunter explain some of the basic concepts to show how applying Six Sigma tools and methodologies can be used to manage the practical challenges of improving HR operations to meet your organization's expectations at a lower cost and with greater efficiency. To help illustrate some of the key messages examples are drawn from Orion Partners' work using Six Sigma tools with international organizations over the last seven years. This concise guide is ideal for project and programme managers involved in business transformation, and for HR managers as well as Six Sigma specialists seeking to understand its applications within human resources. About The Gower HR Transformation Series: The Human Resources function faces a continuing challenge to its role and purpose, in many organizations it has suffered from serious under-representation at strategic, board level. Yet, faced with the challenges of globalism, the need to innovate, manage knowledge, attract and retain the very best employees, organizations need an HR function that can lead from the front. The process of transforming the function is complex and rarely linear. It includes the practical challenges of improving HR operations to meet customer expectations at lower cost and with greater efficiency. The Gower HR Transformation Series will help; it uses a blend of conceptual frameworks, practical advice and global case study examples to cover each of the main elements of the HR transformation process. The books in the series follow a standard format to make them easy to read and reference. Together, the titles create a definitive guide from one of the leading specialist HR transformation consultancies; an organization that has been involved in HR transformation for clients as diverse as Bombardier Transportation, Marks & Spencer, Barnardo's, Oxfam, Schroders, UnitedHealth Group, Nestlé, BP, HM Prison Service, Transport for London and Vodafone. Contents: Introduction; Six Sigma teams, projects and techniques; Six Sigma methodologies; Lessons learned from delivering high impact Six Sigma projects; Appendices; Further reading. Ian Hunter is a founding partner of Orion Partners and Mircea Albeanu is a consultant with Orion. Both are certified black belts in Six Sigma. Orion Partners specialises in providing independent advice to organizations considering transformation of their Human Resources department. www.orion-partners.com

Modern Analysis of Customer Surveys: with applications using R Customer survey studies deal with customer, consumer and user satisfaction from a product or service.In practice, many of the customer surveys conducted by business and industry are analyzed in a very simple way, without using models or statistical methods.

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Customer survey studies deals with customers, consumers and user satisfaction from a product or service. In practice, many of the customer surveys conducted by business and industry are analyzed in a very simple way, without using models or statistical methods. Typical reports include descriptive statistics and basic graphical displays. As demonstrated in this book, integrating such basic analysis with more advanced tools, provides insights on non-obvious patterns and important relationships between the survey variables. This knowledge can significantly affect the conclusions derived from a su

In order to resolve the paradox of \"high cultural value, low market conversion\" and the homogenisation dilemma of cultural and creative products markets, this study proposes an extended analytical framework for cultural and creative products, based on the theory of Customer Perceived Value. The study systematically examines the impact of consumer perceived value on purchase intention from six dimensions: functional quality value, function price value, emotional value, social value, perceptual innovation, perceptual cultural, customer satisfaction, and purchase intention. A questionnaire survey of consumers at the Shaanxi Provincial Museum was conducted, yielding 333 valid responses. These responses were analysed using structural equation modelling. The study revealed that functional quality value, function price value, emotional value, and perceptual innovation all significantly positively influenced customer satisfaction, indirectly driving purchase intent through the full mediation effect of satisfaction. However, the impact of social value did not reach statistical significance. This research challenges the conventional limitations of traditional perceived value models, unveiling a chain mechanism in cultural and creative consumption: The sequence of events leading to the formation of purchase intent is as follows: first, the customer must perceive the value of the product; second, they must be satisfied with this perception. The findings provide a theoretical basis for understanding the pivotal role of cultural value in the transformation of cultural phenomena into market behaviour. The practical implications of this theory suggest that the development of cultural and creative products should move beyond the simple accumulation of symbols. By innovatively designing cultural elements to enhance their perceptibilities and leveraging narrative experiences to improve cultural interpretability, products can strengthen practical functionality and emotional resonance while simultaneously boosting consumers cultural identity and appreciation of innovation. This approach has been demonstrated to effectively activate purchase intent.

For logistics service providers (LSPs), improving customer satisfaction and obtaining customer re-use intention are key to gaining sustainable competitive advantages and success. Logistics service quality (LSQ) is a concern for logistics service providers, retailers, and customers. The proposed model, which is based on the stimuli-organism-response theory and the logistics service quality framework, integrates operational quality, resource quality, information quality, personal contact quality, customization quality, and customer satisfaction to study logistics service re-use intentions. The data were obtained from an online survey using a structured questionnaire given to those with experience in logistics service. Using partial least squares structural equation modeling on 810 respondents who were adult Chinese customers, this study discovered that operational, resource, information, personal contact, and customization qualities positively affect the satisfaction of logistics service customers, while customer satisfaction positively affects re-use intention. Moreover, the results of the mediation analysis revealed that customer satisfaction mediated the connection between the five components of LSQ and the re-use intention of logistics services. The originality of the study lies in its comprehensive examination of the direct and indirect effects of service quality dimensions on customer satisfaction and logistics service re-use intention in the context of logistics services. This study provides valuable insights into the importance of customer satisfaction in the logistics industry and highlights the need for logistics companies to prioritize customer satisfaction and improve their overall performance and competitiveness.

The national fitness initiative in China is a strategic priority, public satisfaction is a key metric for evaluating the effectiveness of public services. The American Customer Satisfaction Index (ACSI) model has proven a robust tool for evaluating satisfaction with public services. The objective of study was to construct a satisfaction model for national fitness public services in China based on the ACSI framework and to explore the complex relationships among its components. Evaluation dimensions and an item pool were carefully developed by referencing the ACSI model and relevant academic literature. After a panel of experts assessed the initial items pool, the study formed the questionnaire to distribute the residents in Guangzhou, a total of 1,133 valid responses were collected. Data analysis was conducted using SPSS 22.0 and AMOS 16.0 software to evaluate the reliability and validity of the measurement model, the goodness-of-fit of the structural model, and analyze the statistical significance of each path coefficient. Public expectation does not directly influence satisfaction (path coefficient 0.039, p = 0.103), it exerts a significant and direct influence on perceived quality (path coefficient 0.445, p = 0.003), which in turn demonstrably shapes public satisfaction (path coefficient 0.403, p = 0.005). Perceived quality also directly influences perceived value (path coefficient 0.735, p = 0.006), which in turn significantly impacts public satisfaction (path coefficient 0.554, p = 0.003). Public satisfaction directly and significantly influences both public complaints (path coefficient 0.395, p = 0.003) and public trust (path coefficient 0.699, p = 0.003). Perceived quality is the most critical factor influencing public satisfaction, which subsequently affects public complaints and trust. Fitness service providers should consistently improve service quality, aligning actual service delivery with public expectations, and enhancing the perceived value for the public. These efforts will bolster the public's satisfaction level.

Social media has changed the marketing phenomenon, as firms use social media to inform, impress, and retain the existing consumers. Social media marketing empowers business firms to generate perceived brand equity activities and build the notion among consumers to continue using the firms’ products and services. The current exploratory study aimed to examine the effects of social media marketing activities on brand equity (brand awareness and brand image) and repurchase intention of high-tech products among Chinese consumers. The study used a cross-sectional design, and the final analysis was performed on 477 valid responses that were collected through an online survey. Partial least squares structural equation modelling (PLS-SEM) and artificial neural network (ANN) analysis were performed. The obtained results revealed positive and significant effects of trendiness, interaction, and word of mouth on brand awareness. Customisation, trendiness, interaction, and word of mouth were found to positively affect brand image. Brand awareness and brand image were found to affect repurchase intention. The results of multilayer ANN analysis suggested trendiness as the most notable factor in developing brand awareness and brand image. Brand awareness was found to be an influential factor that nurtures repurchase intention. The study’s results confirmed the relevance of social media marketing activities in predicting brand equity and brand loyalty by repurchase intention. Marketing professionals need to concentrate on entertainment and customisation aspects of social media marketing that can help to achieve brand awareness and image. The limitations of study and future research opportunities are presented at the end of this article.

Many individuals visit rural telemedicine centres to obtain safe and effective health remedies for their physical and emotional illnesses. This study investigates the antecedents of patients’ satisfaction relating to telemedicine adoption in rural public hospitals settings in Bangladesh through the adaptation of Expectation Disconfirmation Theory extended by Social Cognitive Theory. This research advances a theoretically sustained prediction model forecasting patients’ satisfaction with telemedicine to enable informed decision making. A research model explores four potential antecedents: expectations, performance, disconfirmation, and enjoyment; that significantly contribute to predicting patients’ satisfaction concerning telemedicine adoption in Bangladesh. This model is validated using two-staged structural equation modeling and artificial neural network approaches. The findings demonstrate the determinants of patients’ satisfaction with telemedicine. The presented model will assist medical practitioners, academics, and information systems practitioners to develop high-quality decisions in the future application of telemedicine. Pertinent implications, limitations and future research directions are endorsed securing long-term telemedicine sustainability.