Applying marketing’s new dominant logic for interpreting customer experiences with brands

The concept of customer experience is evolving to an imperative area of study within the marketing discipline. Despite its importance and the positive attention this concept is receiving in the literature, the explanation of customer experiences remains vague and a thorough theoretical foundation is lacking. This paper addresses the gap in the literature and to facilitate a brand-management understanding of the concept of customer experience and its antecedents and consequences. The paper examines the impact of customer experience on brand loyalty via a comprehensive review of existing literature on the concept of customer experience and service brand literatures. Additionally, twelve propositions describe and explain the antecedents of customer experience and impacts upon brand loyalty within a service-centered marketing logic. This paper contributes a novel customer-brand experience perspective and conceptual tools relevant for further theory development and for effectively managing customer-brand relationships

Exploring the Natural Attributes of Principals as Educational Leaders

This study sought to explore the leadership of principals as educational administrators based on their natural attributes. The excellence in the actions of principals as educational administrators will serve as the determining factor for the success of a school across nine fields listed in the Malaysian School Principals Competency Standards. This success is mainly driven by the natural attributes of principals’ leadership in influencing the processes and behaviour of teachers in the delivery of education. This study also explores leadership issues and problems that are still of current interest. Principals’ competency levels in executing leadership still show that teachers are constrained by numerous flaws particularly in the teaching and learning in schools. Such conditions are often mirrored in schools with poor leadership display by Principals who are bent on putting off planned educational programmes. This qualitative study was done as a single case study. Qualitative data obtained via interviews with 10 informants in school formed the research case. The interviews were semi-structured and were analysed manually using category classification. The interviews explained the natural attributes reflected via Principals’ leadership orientation to answer the issues in this study. The findings of this study shall serve as additional elements in the process of selecting and placing Principals, as well as be developed as a guide for educational administrators desiring effective and quality leadership orientation for managing and administrating schools in Sabah. This study is of importance as it contributes additional knowledge in the fields of education and human resource for the benefit of other researchers

Key Attributes of Graduate Interim’s Capabilities For successful Transfer Knowledge: a Structural Equation Modelling Using Partial Least Squares

A spirit of collaborative partnership amongst universities, industries, and communities is a prerequisite for a success of knowledge transfer program initiatives. The effort provides a platform for exchange of ideas either tangible or intangible, expertise, explicit or implicit knowledge and skills amongst parties involved. Companies are now beginning to recognize the fundamental value of knowledge transfer mechanism on how it is acquired, used and shared which contribute to their core competencies and in making sound strategic decisions to maintain the competitive advantage in today’s business environment. As to promote the ideas of knowledge transfer, the Ministry of Education (MOE) Malaysia has underlined the graduate intern’s capability as one of the areas under the critical agenda which need to be addressed in portraying the success of the knowledge transfer programme (KTP). Therefore, in order to obtain deeper insights of the issue, this project attempts to examine the contribution of graduate intern capabilities towards the success of KTP project in Malaysia. This study has employed a questionnaire that has been distributed to academics in the public universities in Malaysia who have obtained KTP grants from the government. The study has revealed that graduate interns’ capabilities contribute significantly to the implementation of knowledge transfer projects. Thus, higher education institutions must then address and review its present teaching and learning delivery to enhance students’ capabilities in dealing with the industry as well as with community

Out-patient intravaginal misoprostol versus in-patient intravaginal misoprostol for the treatment of first trimester incomplete miscarriage in UKMMC: a randomised controlled trial.

A prospective randomised controlled trial was conducted at a tertiary medical center on 154 patients for the treatment of spontaneous first trimester incomplete miscarriage. The intervention group (n=77) received out-patient administration of misoprostol whereas the control group (n=77) received in-patient administration of misoprostol. The intravaginal misoprostol dosage administered was 800mcg 8 hourly to maximum of 3 doses. They were reassessed at Day 7. The primary outcome evaluated were success of evacuation, side effects, cost and patient acceptability. The secondary outcomes evaluated were mean reduction of endometrial thickness, days of passing out POC, duration of bleeding and mean reduction in hemoglobin. Assessment for treatment failure was done at day 7. Surgical evacuation was then offered

Inertia based microfluidic capture and characterisation of circulating tumour cells for the diagnosis of lung cancer

Background: Routine clinical application of circulating tumour cells (CTCs) for blood based diagnostics is yet to be established. Despite growing evidence of their clinical utility for diagnosis, prognosis and treatment monitoring, the efficacy of a robust platform and universally accepted diagnostic criteria remain uncertain. We evaluate the diagnostic performance of a microfluidic CTC isolation platform using cytomorphologic criteria in patients undergoing lung cancer surgery. Methods: Blood was processed from 51 patients undergoing surgery for known or suspected lung cancer using the ClearBridge ClearCell FX systemTM (ClearBridge Biomedics, Singapore). Captured cells were stained on slides with haematoxylin and eosin (H&E) and independently assessed by two pathologist teams. Diagnostic performance was evaluated against the pathologists reported diagnosis of cancer from surgically obtained specimens. Results: Cancer was diagnosed in 43.1% and 54.9% of all cases. In early stage primary lung cancer, between the two reporting teams, a positive diagnosis of CTCs was made for 50% and 66.7% of patients. The agreement between the reporting teams was 80.4%, corresponding to a kappa-statistic of 0.61±0.11 (P<0.001), indicating substantial agreement. Sensitivity levels for the two teams were calculated as 59% (95% CI, 41–76%) and 41% (95% CI, 24–59%), with a specificity of 53% for both. Conclusions: The performance of the tested microfluidic antibody independent device to capture CTCs using standard cytomorphological criteria provides the potential of a diagnostic blood test for lung cancer

Measurement of the emission spectrum of a semiconductor laser using laser-feedback interferometry

The effects of optical feedback (OF) in lasers have been observed since the early days of laser development. While OF can result in undesirable and unpredictable operation in laser systems, it can also cause measurable perturbations to the operating parameters, which can be harnessed for metrological purposes. In this work we exploit this ‘self-mixing’ effect to infer the emission spectrum of a semiconductor laser using a laser-feedback interferometer, in which the terminal voltage of the laser is used to coherently sample the reinjected field. We demonstrate this approach using a terahertz frequency quantum cascade laser operating in both single- and multiple-longitudinal mode regimes, and are able to resolve spectral features not reliably resolved using traditional Fourier transform spectroscopy. We also investigate quantitatively the frequency perturbation of individual laser modes under OF, and find excellent agreement with predictions of the excess phase equation central to the theory of lasers under OF

UV-Green Iridescence Predicts Male Quality during Jumping Spider Contests

10.1371/journal.pone.0059774PLoS ONE84

Grounding language in perception for scene conceptualization in autonomous robots

In order to behave autonomously, it is desirable for robots to have the ability to use human supervision and learn from different input sources (perception, gestures, verbal and textual descriptions etc). In many machine learning tasks, the supervision is directed specifically towards machines and hence is straight forward clearly annotated examples. But this is not always very practical and recently it was found that the most preferred interface to robots is natural language. Also the supervision might only be available in a rather indirect form, which may be vague and incomplete. This is frequently the case when humans teach other humans since they may assume a particular context and existing world knowledge. We explore this idea here in the setting of conceptualizing objects and scene layouts. Initially the robot undergoes training from a human in recognizing some objects in the world and armed with this acquired knowledge it sets out in the world to explore and learn more higher level concepts like static scene layouts and environment activities. Here it has to exploit its learned knowledge and ground language into perception to use inputs from different sources that might have overlapping as well as novel information. When exploring, we assume that the robot is given visual input, without explicit type labels for objects, and also that it has access to more or less generic linguistic descriptions of scene layout. Thus our task here is to learn the spatial structure of a scene layout and simultaneously visual object models it was not trained on. In this paper, we present a cognitive architecture and learning framework for robot learning through natural human supervision and using multiple input sources by grounding language in perception