The Influencing Factors of Online Consumers’ Return Satisfaction

With the development of the Internet, the transactions of the commodities turned out to be digitized, however, the non face-to-face transactions led to one main problem that commodities possibly do not meet the expectation of consumers’, and will then inevitably result the return problem. How to improve the consumers’ return experience and build their trust has become the focus of business considerations. Based on the research model of the influencing factors of online consumers’ return satisfaction, the author studied 1002 after-sales review samples. Through compiling and labeling the sample data, the author quantifies the consumers’ emotion by emotion analysis and then analysis by multiple linear regressions, the paper provides a base for businesses to improve the quality of return service by validating and explaining the research model

Factors influencing effective electronic word-of-mouth marketing

Marketing serves to satisfy customer needs and wants while building strong customer relationships in an effort to gain value from customers in return. On understanding that customer satisfaction is needed for a business to survive and grow, the important role marketing plays within a business is emphasised as it contributes to overall business performance. Building relationships also emphasises the importance of communication within marketing. Traditional person-to-person word-of-mouth communication has always played a role in marketing a product or service. The evolution of technology over recent years has enabled electronic word-of-mouth (eWOM), which is frequently carried out and has proven to be another effective marketing tool. Due to the fundamental role that marketing plays within a business and the frequent use of electronic word-of-mouth as a marketing tool it is important that business owners and marketers are aware of the factors influencing the effectiveness of it. This study explores eWOM from a marketing perspective, through investigating the factors that contribute towards the effectiveness of eWOM as a marketing tool. Therefore the primary objective of the study was to investigate the factors influencing effective eWOM marketing. A quantitative research approach was followed to empirically test the hypotheses and determine whether relationships exist between the four independent variables (factors influencing eWOM) and the dependent variable (effective eWOM marketing). A self-administered, five-point Likert-scale style structured questionnaire was used to obtain the data. The sample for this study comprised of 360 consumer respondents within the Nelson Mandela Metropole. An exploratory factor analysis extracted four valid constructs namely feedback, trustworthiness, social status and networking as the factors influencing effective eWOM marketing. Cronbach’s alphas confirmed the reliability of all extracted constructs. Most correlation results indicated moderate associations between the variables. However, effective eWOM marketing proved to have a strong correlation with social status. The results of the multiple regressions for the factors influencing effective eWOM marketing identified three statistically significant relationships between feedback, social status, networking and effective eWOM marketing. MANOVAS confirmed eleven statistically significant relationships of which only three were of practical significance. Practical significant relationships exist between ethnic affiliation, current position, years working experience and social status. In addition to identifying the three specific factors influencing effective eWOM marketing, namely online feedback, the need to obtain social status and the desire to engage in online networking, this study has made several contributions, specifically to eWOM marketing. This study has recommended specific online marketing strategies to increase effective eWOM for online feedback, for individuals to obtain social status and to engage in online networking. The hypothesised model developed from the study, illustrating the three factors that influence effective eWOM marketing for South African consumers, can now be used by other researchers in other countries as a framework for further testing or for businesses/marketing organisations to obtain information on the attributes to pay attention to increase the effectiveness of their eWOM marketing. The role that demographics such as ethnic affiliation, position in the business and years working experience play in satisfying the need of individuals to obtain social status in an online setting via eWOM marketing, were also confirmed. Furthermore, this study has provided practical advice to businesses/marketing organisations on how to utilise this knowledge to their advantage when wishing to stimulate eWOM conversations about their products and services. The findings of the research will also assist businesses/marketing organisations to initiate eWOM engagement and communicate more effectively with consumers online to obtain information on how to improve on and change existing products/services or the need for new product/service offerings to retain customers, ensure continuous consumer satisfaction and increase business turnover

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

The joy of vacuuming? How the user experience affects vacuum cleaner longevity

An apparent reduction in the average lifetime of vacuum cleaners is explored in this paper in relation to their perceived usability and increasingly frequent product replacement. Motivations for product disposal combine perceived and real product failure with a perceived or real improved product offer. From an historical perspective, vacuum cleaners typify this pattern, continually offering a ‘cheaper and improved’ product. Vacuum cleaner manufacturers reinvigorate the sense of satisfaction and revulsion associated with extracting dirt from our homes through new performance focused product development. For example, increased motor power, filtration, bag-less machines and clear bin compartments have all acted as sales drivers, whilst cost effective materials and offshore and more efficient manufacturing have reduced purchase prices. The latter, cost-driven, processes can create machines that are more likely to be functionally and aesthetically damaged in use, reinforcing the trend for faster replacement. The market appears likely to continue to focus on improved user experience, with growth in market share for lighter weight cordless battery powered machines posing the risk of an increased environmental burden. Drawing from qualitative and quantitative research undertaken for a study for Defra, we explore the user’s relationship to the product, investigating the frustrations and joys of vacuum cleaner use and ownership. The findings illustrate that the revulsion and attraction of cleaning, as well as the tedium and satisfaction fostered by the product, have direct implications for vacuum cleaner longevity

Alter ego, state of the art on user profiling: an overview of the most relevant organisational and behavioural aspects regarding User Profiling.

This report gives an overview of the most relevant organisational and\ud behavioural aspects regarding user profiling. It discusses not only the\ud most important aims of user profiling from both an organisation’s as\ud well as a user’s perspective, it will also discuss organisational motives\ud and barriers for user profiling and the most important conditions for\ud the success of user profiling. Finally recommendations are made and\ud suggestions for further research are given

The effects of store atmosphere on shopping behaviour - A literature review.

This paper provides an insight into how the atmospherics of a retail environment influence shopping behaviour. Its objective is to support researchers and practitioners by summarizing the current state of knowledge and identifying gaps and avenues for future research. The scope covers studies in retail marketing and environmental psychology published during the last 35 years. It has been shown that environmental cues (music, scent etc.) have an effect on the emotional state of the consumer, which in turn causes behavioural changes, both positive (approach, buy more, stay longer etc.) and negative (not approach, buy less, leave earlier etc.). Most studies make reference to the PAD model, which proposes that the relevant emotions in this process can be measured along three dimensions Pleasure, Arousal and Dominance (Mehrabian, A. & Russell, J.A.,1974, An approach to environmental psychology, Cambridge, MA.: MIT Press). Since then, significant advances have been made to understand the effect of individual cues, their interaction, as well as the role of moderators, such as gender, age, or shopping motivation. However, there are a number of opportunities for further research. Too little is known about the moderating effects of Arousal and Dominance and how they interact with each other and with Pleasure dimension. Also a number of other moderators, such as gender and culture, should be integrated into the model

Determinants of online shopping intention

The internet has become a key medium for the purchase of products and services in virtual markets and has effectively linked all countries and business. It has been estimated that the internet market is worth $300 billion in 1995. Through the internet, electronic commerce offers a tremendously wide variety of electronic business opportunities. One of them is online shopping which has become the third most popular internet activity after e-mail or instant messaging and web browsing. Malaysia is ranked 17th among 27 countries across Europe, Asia-Pacific and North America in terms of the percentage of internet users shopping online. Even though this method has started to win hearts of Malaysian consumers, the factors influencing the willingness to shop online are still unknown. Thus, the general objective of the study is to examine the factors that influence consumer's online shopping intention (dependent variable). The main independent variables are demographic, trusts, quality and loyalty to website visited. A 100 percent response rate was obtained from students sampled randomly. Findings indicate that quality and loyalty contributed 26.8 percent (R2 = 0.268) and 6.1 percent (R2 = 0.061) respectively to the variance in online shopping intention. Implications of the study are discussed

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