Analysis of Factors Affecting Consumer Intention in Buying Goods on Social Media (Case Study: XYZ Shop)

The number of internet users worldwide has increased from year to year. Especially in Indonesia, in 2017 internet users have reached 143.26 million people or around 54.68% of the total population in Indonesia and on average use it every day. The growth of internet use in Indonesia was used by business people to run their business by selling where social media is the most used place to sell (64.9%). However, there are still many consumers who are reluctant to make the intention to purchases, this is caused by many factors including the level of consumer confidence, consumer risk perceptions, and others. In this study, the factors that influence consumer behavior will be analyzed about intention purchasing decisions on social media using the developed Theory of Planned Behavior. The case study used is the XYZ store that sells shoes, accessories, and goods on social media. Partial Least Square Method of Structural Equation Modeling (PLS-SEM) is used to analyze the research, where the results of this study are to get the conclusions of significant factors that influence consumer intention to purchases product on social media and recommendations for improvements to XYZ stores to improve sales and get more consumers

Lowering the pirate flag: a TPB study of the factors influencing the intention to pay for movie streaming services

The launch of several movie streaming services has raised new questions about how online consumers deal with both legal and illegal options to obtain their desired products. This paper investigates the factors influencing consumers’ intentions to subscribe to online movie streaming services. These services have challenged the dramatic growth in their illegal counterpart in recent years. Taking the theory of planned behavior as a starting point, we extended existing models in the literature by incorporating factors that are specific to consumer behavior in this particular field. A quantitative survey was conducted for the Italian market, and structural equation modeling was used for data analysis. Attitudes, involvement with products, moral judgement and frequency of past behavior were found to be the most important factors in explaining the intention to pay for movie streaming services. The paper provides insights for policy makers and industry managers on the marketing communication strategies needed to minimize the risk of digital piracy

Airline Ticket E-Reservation: Adoption Among Malaysians

Sistem tempahan tiket penerbangan telah banyak direvolusikan oleh syarikat-syarikat penerbangan melalui penggunaan Internet dan pengenalan alat-alat mudah alih moden. The air ticket reservation system has been much revolutionized by the airline companies through the usage of the Internet and introduction of modern mobile devices

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

Psychological elements explaining the consumer's adoption and use of a website recommendation system: A theoretical framework proposal

The purpose of this paper is to understand, with an emphasis on the psychological perspective of the research problem, the consumer's adoption and use of a certain web site recommendation system as well as the main psychological outcomes involved. The approach takes the form of theoretical modelling. Findings: A conceptual model is proposed and discussed. A total of 20 research propositions are theoretically analyzed and justified. Research limitations/implications: The theoretical discussion developed here is not empirically validated. This represents an opportunity for future research. Practical implications: The ideas extracted from the discussion of the conceptual model should be a help for recommendation systems designers and web site managers, so that they may be more aware, when working with such systems, of the psychological process consumers undergo when interacting with them. In this regard, numerous practical reflections and suggestions are presented

Online Purchase Intention: A Study on Consumer Behaviour in Indian Digital Environment

With a potent market like India and the preference being given to a convenient lifestyle and the now happening digital revolution, Indian marketers and purchasers have started to understand the importance and the advantages of utilizing the online shopping platforms. Digital marketing is what affects the purchasing tendency and intentions of people. The motivation behind this research is to recognize the factors influencing Indian customers' frame of mind towards shopping on the internet along the lines of digital marketing to use it for the benefit of both, the marketer and the consumer. Based on Theory of Planned Behavior, constructs/variables like Perceived Behavioral Control, Subjective Norms, Attitude and India-specific factor (covers several socio-economic factors) were examined and analyzed. Two factors, online buying intention, and online purchase were created to extend the research.  The result shows that online purchase intention has the most significance in converting a buyer to actually make an online purchase. Out of the other factors, subjective norms positively affect the online buying intentions the most and perceived behavior negatively affects the same. The study highly reflects that digital marketing and targeting the right audience positively influence the purchase intention of an individual such that it converts into actual purchase

Internet banking acceptance model: Cross-market examination

This article proposes a revised technology acceptance model to measure consumers’ acceptance of Internet banking, the Internet Banking Acceptance Model (IBAM). Data was collected from 618 university students in the United Kingdom and Saudi Arabia. The results suggest the importance of attitude, such that attitude and behavioral intentions emerge as a single factor, denoted as “attitudinal intentions” (AI). Structural equation modeling confirms the fit of the model, in which perceived usefulness and trust fully mediate the impact of subjective norms and perceived manageability on AI. The invariance analysis demonstrates the psychometric equivalence of the IBAM measurements between the two country groups. At the structural level, the influence of trust and system usefulness on AI vary between the two countries, emphasizing the potential role of cultures in IS adoption. The IBAM is robust and parsimonious, explaining over 80% of AI

E-tailers versus Retailers: Which Factors Determine Consumer Preferences

The growth of Internet technology and electronic commerce has not been matched by theoretically-guided social science research. Clear and well designed consumer research is needed to describe, explain, and predict what will happen to this changing landscape. The primary purpose of this study is to investigate the structure for consumer preferences to make product purchases through three available retail formats - store, catalog, and the Internet. Conjoint analysis was used to assess the structure of the decision and the importance of the attributes in the decision-making process. The results from this study noticeably show that the structure of the consumer decision-making process was found to be primarily one of choosing the retail format (store, catalog, or Internet) and price of product (set at low, medium or high) desired. The strength of the retail store format suggests that fears that the Internet will take over the retail arena seem, at least at this point in time, overblown and exaggerated. However, there seems to be an identifiable segment of customers that has a preference for the Internet as a retail shopping alternative.Economics ;

CONSUMERS’ WILLINGNESS TO BUY FOOD VIA THE INTERNET: A REVIEW OF THE LITTERATURE AND A MODEL FOR FUTURE RESEARCH

In the first part of the paper, existing studies on consumer propensity to buy via the Internet are reviewed in an attempt to shed light on factors explaining consumer willingness to buy food via the Internet. Following a model by Sindhav and Balazs (1999), determinants relating to medium, product, consumer, firm and environment are distinguished. In order to draw the various results together and provide a coherent framework for future research, we then propose a model which combines the Theory of Planned Behaviour and the lifestyle construct. The model can be used to analyse how beliefs affecting consumers intention to buy food via the Internet are formed and changed due to experience with such shoppingNo keywords;