Quality improvement of manuka honey through the application of high pressure processing

The quality of honey is known to be compromised when it goes through thermal processing due to its negative impact on the unstable and thermolabile honey components which originated from the nectar and bees themselves. This present work is undertaken to access the use of an emerging food preservation technique known as “High Pressure Processing” for treating honey, as an alternative to the conventional thermal processing. In this thesis, honey quality has been addressed by measuring the effects of high pressure processing parameters (pressure, time and temperature) on nutritional properties of honey, namely total phenolic content and antioxidant activity. Honey samples, contained in small pouches, were subjected to different pressures (200-600 MPa) at close to ambient temperatures (25-33°C) for different holding times (10 to 30 min). Thermal processing (49- 70°C) was also carried out for comparison purpose. Results demonstrated that high pressure processing operated at 600 MPa for 10 min has capability to increase significantly the total phenolic content and antioxidant activity by 47% and 30%, respectively. Besides, the result showed that high pressure processing can maintain the natural colour of honey which relates directly to consumer perception, while retaining its shear-thinning behaviour and viscosity with no significant changes (p > 0.05). High pressure processing can also control hydroxymethylfurfural (HMF) concentration in honey during process within the standard limit, 16.93 to 18.76 mg/kg (which is below than the maximum allowed limit of 40 mg/kg). This work also reveals that high pressure processing can enhance antibacterial activity of Manuka honey significantly. It shows an increase in the percentage inhibition of Staphylococcus epidermidis from 64.15 ± 5.86% to 84.34 ± 7.62% when honey was subjected to 600 MPa. Storage studies for one year at room temperature (25°C) demonstrated that high pressure-treated samples have a good retention to the physicochemical, nutritional and rheological properties of honey throughout storage, which confirms that the positive effect of high pressure on honey is not a temporary effect. Whereas, an insight study on the safety part showed that the Saccharomyces cerevisiae cell varied linearly with ° Brix, indicating that food compressibility has a significant role in the microbial inactivation

Critical review of the e-loyalty literature: a purchase-centred framework

Over the last few years, the concept of online loyalty has been examined extensively in the literature, and it remains a topic of constant inquiry for both academics and marketing managers. The tremendous development of the Internet for both marketing and e-commerce settings, in conjunction with the growing desire of consumers to purchase online, has promoted two main outcomes: (a) increasing numbers of Business-to-Customer companies running businesses online and (b) the development of a variety of different e-loyalty research models. However, current research lacks a systematic review of the literature that provides a general conceptual framework on e-loyalty, which would help managers to understand their customers better, to take advantage of industry-related factors, and to improve their service quality. The present study is an attempt to critically synthesize results from multiple empirical studies on e-loyalty. Our findings illustrate that 62 instruments for measuring e-loyalty are currently in use, influenced predominantly by Zeithaml et al. (J Marketing. 1996;60(2):31-46) and Oliver (1997; Satisfaction: a behavioral perspective on the consumer. New York: McGraw Hill). Additionally, we propose a new general conceptual framework, which leads to antecedents dividing e-loyalty on the basis of the action of purchase into pre-purchase, during-purchase and after-purchase factors. To conclude, a number of managerial implementations are suggested in order to help marketing managers increase their customers’ e-loyalty by making crucial changes in each purchase stage

An improved negative selection algorithm based on the hybridization of cuckoo search and differential evolution for anomaly detection

The biological immune system (BIS) is characterized by networks of cells, tissues, and organs communicating and working in synchronization. It also has the ability to learn, recognize, and remember, thus providing the solid foundation for the development of Artificial Immune System (AIS). Since the emergence of AIS, it has proved itself as an area of computational intelligence. Real-Valued Negative Selection Algorithm with Variable-Sized Detectors (V-Detectors) is an offspring of AIS and demonstrated its potentials in the field of anomaly detection. The V-Detectors algorithm depends greatly on the random detectors generated in monitoring the status of a system. These randomly generated detectors suffer from not been able to adequately cover the non-self space, which diminishes the detection performance of the V-Detectors algorithm. This research therefore proposed CSDE-V-Detectors which entail the use of the hybridization of Cuckoo Search (CS) and Differential Evolution (DE) in optimizing the random detectors of the V-Detectors. The DE is integrated with CS at the population initialization by distributing the population linearly. This linear distribution gives the population a unique, stable, and progressive distribution process. Thus, each individual detector is characteristically different from the other detectors. CSDE capabilities of global search, and use of L´evy flight facilitates the effectiveness of the detector set in the search space. In comparison with V-Detectors, cuckoo search, differential evolution, support vector machine, artificial neural network, na¨ıve bayes, and k-NN, experimental results demonstrates that CSDE-V-Detectors outperforms other algorithms with an average detection rate of 95:30% on all the datasets. This signifies that CSDE-V-Detectors can efficiently attain highest detection rates and lowest false alarm rates for anomaly detection. Thus, the optimization of the randomly detectors of V-Detectors algorithm with CSDE is proficient and suitable for anomaly detection tasks

The Effect of Website Design Quality and Service Quality toward Repurchase Intention in the E-commerce Industry: A Cross-Continental Analysis

The purpose of this study is to examine and understand the effect of website design quality and service quality toward consumers’ repurchase intention in the Asian, European, American, and Australian e-commerce industry. This research implemented survey method, in which questionnaires were chosen as instruments for data collection. A total of 1000 questionnaires were electronically distributed to the respondents across four continents, in which a total of 869 were deemed usable. Out of 869 questionnaires, a total of 200 questionnaires collected from respondents living in the Asian continent, 189 questionnaires collected from respondents living in the American continent, 243 questionnaires collected from respondents living in the European continent, and 237 questionnaires collected from respondents living in the Australian continent. This research implemented PLS-SEM method to analyze and generate findings from the data. Based on the results generated from the analysis of the data, it could be concluded that in the Asian, Australian, and European continents, service quality played a more important and significant role in affecting consumers’ repurchase intention in the e-commerce industry compared to website design quality. In contrast, the results generated in this research also concluded that website design quality played a more important role in affecting consumers’ repurchase intention in the American e-commerce industry. Furthermore, customer satisfaction mediated the relationship between website design quality and service quality toward consumers’ repurchase intention in the Asian, Australian, European, and American e-commerce industry

The mediation relationship of customer satisfaction between service quality and repurchase intention on e-commerce in Indonesia

This research aims to determine the relationship between service qualities and repurchase intention with customer satisfaction as the mediator variable on e-commerce in Indonesia. Data were obtained from 162 respondents by using close and self-administered types of questions. The respondents independently filled the given questionnaires with the Likert scale and Structural Equation Model (SEM) was used for analysis. The findings show that customer satisfaction variable is a mediation of web service quality and repurchase intention on e-commerce in Indonesia

What drives consumers' e-loyalty to airlines web site? Conceptual framework and managerial implications

This study proposes a revised technology acceptance model that integrates expectation confirmation theory to measure continuance intentions of online shopping for airlines web sites. The sample respondent 465online users in Saudi Arabia. A structural equation model confirms model fit. Perceived usefulness, enjoyment, social pressure, and loyalty incentives are determinants of online flight booking continuance in Saudi Arabia. This research moves beyond online booking intentions and includes factors affecting online booking continuance. The research model explains 53% of the intention to continue booking using airlines web sites

Developing a theoretical framework of consumer logistics from a comprehensive literature review

Paper delivered at the 21st Logistics Research Network annual conference 2016, 7th-9th September 2016, Hull. Abstract Purpose: Logistics as a business discipline entered academic consciousness in the mid-1960s when work by marketing academics discussed the integration between marketing and logistics. However, the link with consumers in the point-of-origin to point-of-consumption typology was not explored until Granzin and Bahn’s conceptualisation and model of consumer logistics (CL) in 1989. Since then few contributions have followed and neglecting this aspect of logistics research is difficult to understand. Firstly, the consumer represents a productive resource as an important downstream supply chain member carrying out logistics activities and tasks. Secondly, logistics activities directed towards the consumer also act along a marketing axis, i.e. satisfaction and loyalty for an overall shopping experience both from transaction-specific and cumulative levels are influenced by product quality elements and service-related dimensions. This paper presents a theoretical framework for deeper research into the topic of CL. Research approach: A literature review was conducted first following philosophical or field conceptualization principles as a first step towards theory building. Data bases of major logistics and SCM journals were searched however the publication timeframe was not limited as the concept of CL is relatively new. Selection criteria and Boolean searches were conducted and keywords used within article abstracts and title fields of search. Due to a relative scarcity of contributions obtained by that approach and in-line with the principle of methodological triangulation, additional search strategies were applied using Google/ Google Scholar searches. The majority of the cited contributions were also cross-referenced and included in the analysis if appropriate. Findings and originality: The literature search yielded a mother population of 46 documents of which 24 have been considered relevant for further consideration. The document harvest was analysed using Granzin and Bahn’s original CL issues and additional features in order to explore, structure, articulate, orient, hierarchize and delimit the field of CL in the 21st century. Research impact: This paper updates Granzin and Bahn’s work to outline new and distinctive features of CL given the obvious changes in the retail landscape since their work 27 years ago, such as the Internet and omni-channel retailing. More broadly, conceptualizing CL in a holistic manner enhances SCM theory building by questioning traditional notions of time and space ranges, isolated marketing-merchandizing/logistics considerations, traditional understandings of sites /locations, and equipment (e.g. shopping cart or basket)/ infrastructure/ layout and buying stages that are in-line with external evolutions on organizational, technological and societal levels. Practical impact: Understanding and improving CL contributes to supply chain competitiveness via increased consumer satisfaction and loyalty, better order fulfilment via cost reductions and efficiency increases, and enhanced differentiation targeting consumers receptive for sustainability/ ethics/ mobility/ lifestyle/ life quality issues. A dedicated approach to CL also enhances management of repercussions and interactions with upstream/ B2B logistics, visible through retail stores being both a destination and a source for inventory, the rise of drop-ship vendor relationships and new fulfilment options and related infrastructure

Effects of website quality dimensions on repurchase intention in airline industry

International Conference on Tourism Dynamics and Trends (2. : 2017 : Seville, Spain)This study aimed to investigate the effects of website quality dimensions (efficiency, system quality, service quality and privacy) on repurchase intention. Survey technique was used to collect data among 134 participants. The results offered that service quality, system quality and efficiency significantly affect repurchase intention of online airline customers.No sponso

Pengaruh Website Design Quality Dan Kualitas Jasa Terhadap Repurchase Intention : Variabel Trust Sebagai Variabel Mediasi

This research was conducted in order to assess the direct and indirect effect of website design quality and service quality toward consumers\u27 repurchase intention, both directly and indirectly through trust in the Indonesian e-commerce industry. This research implemented survey method, in which questionnaire were distributed to a total of 270 respondents, thus enabling the data to be analyzed. Data were collected from three cities in the Indonesian regions, which are Jakarta, Bandung, and Tangerang. Data were analyzed using partial least squares-structural equation modeling (PLS-SEM) method. Based on the results of the data analysis, it was revealed that both website design quality and service quality had a positive impact on Indonesian consumers\u27 repurchase intention, both directly or indirectly. Furthermore, trust partially mediated the impact between website design quality, service quality, and repurchase intention