Exploring perceptions for Cyprus as a sustainable golf destination: Motivational and attitudinal orientations of golf tourists

The study examines the perceptions of golf tourists in Cyprus, focusing on the sustainable character of golf practices through a series of statements that explore their motivation, and the experienced attributes of the Cypriot golf tourist product. Based upon a survey in three Cypriot golf courses, results show that the major motives of golf tourists to visit Cyprus include the island’s natural characteristics and the friendly environment. Furthermore, their perceptions concern their social interaction, environment and relaxation. The findings provide insight for the policy-makers to understand golf tourists’ perceptions and design accordingly the Cypriot golf tourism product. An integrative model is proposed for examining the motivation and perceptions of golf tourists in relation to attributes that can shape meaningful experiences and the sustainable development of golf tourism. This line of inquiry can be a useful perspective in examining comprehensively the shaping of sport tourist experiences within a sustainability context

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

Quality Assurance and other Marketing Management Elements as Key Success Factors for Entering a New Market: a Case Presentation of Functional Food Market in Indonesia

Based on its distinctive profiles functional-food (FF) can be considered as a mixture of food and pharmaceutical items. Apparently, these different characteristics that exist beyond conventional food products contribute success of the commercialization of new innovative FFs. Therefore, assumption can be made by arguing that for the marketing a FF a distinctive marketing-strategic beyond the one usually used for the conventional food products must be employed. This study was pursued with the main aims to understand the consumers psychological factors and to find out elements important to setting up the marketing strategy. These two findings will be then used as basis for designing a distinctive marketing strategy for a FF. We found that consumers psychological set varied across different sample groups. Therefore, segmentation plays a significant role. Due to the fact that most of the consumers had a medium to high involvement level, communication strategy becomes a salient means for the marketing of FFs. According to the respondents some important extrinsic/intrinsic quality based elements of FF can be generally incorporated into the communication platforms for FF. From the industrys point of view this study showed that internal organizational and management, market attractiveness and trade capability are the most important elements supporting a firm in developing a new innovative FF in Indonesia.product quality, communication, segmentation, key success factors for market entry, functional food in Indonesia., Financial Economics, International Relations/Trade,

Consumers\u27 Awareness and Perceptions of Luxury Counterfeits

Counterfeiting is a global phenomenon. Because counterfeiting has drastically increased over the past several decades, it is easier for consumers to obtain counterfeited merchandise without any penalties. As the seriousness of the issue increases, companies and scholars suggest that consumer education and awareness may reduce the impact of counterfeit manufacturing. Recently, the luxury goods industry has become one market that is highly affected by counterfeiting, due to their popularity with consumers (Phau, Teah, & Lee 2009). Based on a thorough analysis of literature, many factors have been examined that influence consumers’ attitudes and purchasing intentions towards luxury counterfeits. Results show that luxury counterfeit products are purchased because of their low price and the specific characteristics that the genuine luxury brand portrays such as uniqueness and exclusivity. This pilot study presents the topic of luxury counterfeiting, consumers’ awareness and perceptions of counterfeiting, and attitudes and behaviors towards counterfeit products. A survey was conducted on a Mid-southern university campus to measure consumer awareness and perceptions on luxury counterfeits. Three primary factors were measured: awareness of luxury counterfeits, purchase intentions towards counterfeits, and the specific type of luxury counterfeit products owned. Results indicate strong support for the effectiveness of a consumer education seminar on knowledge, attitudes, and planned behavior towards consumption of counterfeit merchandise. No statistical significance between the three variables, participants’ sex, ethnicity, and annual income can be determined due to the low number of respondents. However, the descriptive statistics indicate that further study utilizing a larger population is warranted

When Does the Influencer Matter?

The purpose of this research is to identify what factors contribute to the effectiveness of social media influencers’ posts. The first phase of this project studied people’s initial feelings towards social media influencers using a focus group. The results indicated that social media influencers are in fact effective and influential. The second phase of this study tested what factors increase and decrease the effectiveness of a social media influencers post, and what factors will get them the most engagement. This was tested through sixteen experimental conditions with different variations of a fake social media influencer post. Five dependent variables were tested, willingness to share the post, willingness to buy, attitude toward the brand, attitude towards the ad, and attitude towards the influencer. Four independent variables were also measured, size of the influencer (micro or macro), picture (present or not), discount (present or not), and level of purchase involvement (high or low), as well as several contributing variables about personality. The results contended that the presence of a picture in a social media influencers ad was had a positive effect on willingness to share the post, willingness to buy, attitude toward the brand, and attitude towards the ad. Discount also was significant to consumers’ attitudes towards the brand and the ad. Level of involvement and size of the influencer only proved to be statistically significant towards the effectiveness of the post when interaction effects were found between one or more of those variables. The research and analysis conducted will provide valuable information regarding the effectiveness of social media influencers and the relevance of them pertaining to technological shifts and advancements in the marketing field

Perceived congruence and online loyalty as segmentation variables in multichannel retailing: a comparison between appparel and electronics

As the interest of the literature on congruity between offline and online stores is relatively recent, empirical evidence is required to help marketing managers choose the most effective ways of contributing to the formation of consistent offerings as well as their contribution to generate customer loyalty. This study examines whether congruity can help to identify segments of heterogeneous consumers that differ significantly regarding these variables as well as other constructs related to the customer relationship with the retailer. The study attempts to identify which congruity attribute(s) are most relevant for differentiating customers by their loyalty towards the online store, so that retailers can design strategies for improving congruity between physical and online stores, and ultimately, increase online store loyalty

What attracts vehicle consumers’ buying:A Saaty scale-based VIKOR (SSC-VIKOR) approach from after-sales textual perspective?

Purpose: The increasingly booming e-commerce development has stimulated vehicle consumers to express individual reviews through online forum. The purpose of this paper is to probe into the vehicle consumer consumption behavior and make recommendations for potential consumers from textual comments viewpoint. Design/methodology/approach: A big data analytic-based approach is designed to discover vehicle consumer consumption behavior from online perspective. To reduce subjectivity of expert-based approaches, a parallel Naïve Bayes approach is designed to analyze the sentiment analysis, and the Saaty scale-based (SSC) scoring rule is employed to obtain specific sentimental value of attribute class, contributing to the multi-grade sentiment classification. To achieve the intelligent recommendation for potential vehicle customers, a novel SSC-VIKOR approach is developed to prioritize vehicle brand candidates from a big data analytical viewpoint. Findings: The big data analytics argue that “cost-effectiveness” characteristic is the most important factor that vehicle consumers care, and the data mining results enable automakers to better understand consumer consumption behavior. Research limitations/implications: The case study illustrates the effectiveness of the integrated method, contributing to much more precise operations management on marketing strategy, quality improvement and intelligent recommendation. Originality/value: Researches of consumer consumption behavior are usually based on survey-based methods, and mostly previous studies about comments analysis focus on binary analysis. The hybrid SSC-VIKOR approach is developed to fill the gap from the big data perspective