Website Design and Trust Elements: A/B Testing on a Start-up's Website

Start-ups are young companies that are hardly known, especially during their early stages, by the relevant stakeholders. A start-up's website is, therefore, often the first point of contact for potential customers, investors, or partners. Such a website usually explains the new product or service and presents the founding team with its competencies. The user's perception of the website and its design can be crucial in determining whether the user is interested in getting in touch with the start-up or even considering the purchase of the respective product or service. User’s trust in the website and its operator is essential for this. The so-called trust elements, such as logos, testimonials, or seals, are intended to create trust on websites. So far, the influence of these elements on user behaviour has hardly been empirically proven in a real-life context. Therefore, we have applied the method of A/B testing to the website of a fictive start-up. Trust elements were placed on one variant of the website (A), whereas on the other variant, there were none (B). The experiment shows that the duration of the user sessions does not differ between the two variants. However, more requests were made on the website variant with trust elements. This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

On the efficiency of Nordic state-controlled gambling companies

Aims: This article assesses the efficiency of six Nordic state-controlled gambling companies in raising revenue for their host societies, and the terms under which they operate. Finland, Sweden, Denmark and Norway have established gambling monopolies on the grounds that they help to prevent fraud and money laundering, and channel proceeds to their host societies. Within the last decade, Denmark (2012) and Sweden (2019) have opened substantial parts of their gambling markets to competition, whereas Finland and Norway continue to uphold monopolies. Design: The analysis is based on publicly disclosed income statements and financial reporting concerning Nordic gambling operators for the year 2017. We calculated how much they contribute to societies, what are the costs, and how these figures compare among the companies. Results: We found that Veikkaus raises the highest amounts of surplus to society both in absolute terms and in relative numbers, and that, overall, the companies vary in efficiency. We discuss the reasons for these differences, focusing on their respective product portfolios, institutional frameworks and competitive market positions. Conclusions: The results problematise the measurement of efficiency in gambling companies in monetary terms. Efficiency depends on high total consumption with little regard to the principles of responsible gambling and the prevention of gambling problems. Nordic countries have a strong commitment to the protection of health, but in the case of gambling, protecting the monopoly seems to outweigh harm prevention.

Studying the Incubation of a New Product Market Through Realized and Alternative Histories

In this paper, we contribute to the literature on new market emergence by implementing a “history-friendly” simulation of the incubation period encompassing the decision processes that took place within General Motors (GM), Chrysler, and Ford during the design and development of the first U.S. minivan. Our work offers a “middle ground” alternative methodology for unpacking the “black box” of market incubation processes. Our middle ground approach is useful for exploring the complex interdependencies among four general mechanisms that shape market incubation: environmental shocks that open up new technological possibilities, firm-level capabilities that allow firms to differentially take advantage of these possibilities, various incentives (e.g., product cannibalization, rivalry) that influence a firm’s willingness to exploit new possibilities, and managerial beliefs about the viability of these possibilities. Complex nonlinear interdependencies exist among these mechanisms, and historical contingencies affect the way in which they interact. We identify important historical contingencies within and across GM, Ford, and Chrysler in their precommercialization managerial decisions prior to Chrysler’s introduction of the Voyager and Caravan in 1983. We use the historical details of actual market incubation to calibrate the simulation and develop plausible alternative (both near and hypothetical) histories of that incubation. Understanding why Chrysler, Ford, and General Motors made their respective product commercialization choices not only pertains to automotive history, but can also illuminate the complexities inherent in market incubation processes.

Plant Disease Detection using Image Processing Techniques

The Indian economy is highly dependent on Agriculture productivity. Having diseases in plants are natural, so disease detection in plant plays an important role in agriculture field. If proper care is not taken, then it causes very serious effects on plants, so that respective product quality and product quantity is affected. Plant disease detection using automatic technique is very useful because it reduces a large work of monitoring in big farms. At very early stage itself it detects the symptoms of diseases when they appear on plant leaves. This project focuses on an approach based on image processing techniques to detect the disease of plants.

Analysis of Competitive Strategies by Asserting General Value

This paper introduces a new quantitative approach for competitive analysis based on the notion of general value. General value is a combination of monetary value, which relates to the product price, maintenance and, possibly, final utilization costs, and nonmonetary value, which represents the consumer satisfaction with and need in the respective product. Products compete by their general value rather than by just the monetary component of it. Different competitive products may show different combinations of their monetary and nonmonetary components of value. The market shares of the competitive products can be found by the distribution similar the Boltzmann distribution in Physics, where general value plays the role of energy.

Sentiment Analysis of Online Product Reviews Using DLMNN and Future Prediction of Online Product Using IANFIS

Sentiment analysis or opinion mining is one of the major tasks of NLP (Natural Language Processing). It captures the user’s opinion, feelings, and belief regarding the respective product especially to determine whether the user’s attitude is positive, negative, or neutral. This analysis greatly helps the companies to make necessary changes in their product which in return can overcome the flaws that the product is facing and targets better customer satisfaction. Existing techniques for the sentiment analysis of online product reviews obtained low accuracy and also took more time for training. To overcome such issues in this paper, a DLMNN is proposed for sentiment analysis of online product review and IANFIS is proposed for future prediction of online product. Here, the sentiment analysis and future predictions are done on the products taken from the food review dataset. First, from the dataset, the data values are partitioned into GB, CB, and CLB scenarios and then the review analysis for each scenario is performed separately using DLMNN and they give the result as positive, negative, and neutral reviews for the product. After the process of review classification based on these three scenarios, the future prediction of the products is done by performing weighting factor and classification using IANFIS. Experimental results are compared with some existing techniques and the results show that the proposed method outperforms other existing algorithms.

DETECTION OF PLANT LEAF DISEASES IN AGRICULTURE USING RECENT IMAGE PROCESSING TECHNIQUES – A REVIEW

Purpose: Agricultural productivity is something on which the economy highly depends in India as well in all over the world. India is an agriculture-dependent country; wherein about 70% of the population depends on agriculture. Methodology: This is one of the main reasons that disease detection in agriculture plays an important role, as having the disease in plant leaf is quite natural. If proper observations are not taken in the agriculture field then it causes serious effects on plants due to which respective product quality and productivity are affected. Detection of plant leaf disease through effective and accurate automatic technique is beneficial at the starting stage as it reduces a large work of monitoring in big farms of crops. Result: This paper presents the review on the state of the art disease classification techniques presently used using image processing that can be used for plant leaf disease detection in agriculture.

Implementasi Metode SAW Pada Sistem Informasi Penyeleksian Peserta WUBI

- The BI Entrepreneurship Program is an annual Bank Indonesia Tasikmalaya Program with the aim of producing entrepreneurs who are quality and sustainable with a lot of knowledge from starting their respective product introductions to the Promotion Strategy. Participants who qualify for WUBI Selection will get funding from BI as the business capital of the participants. In the WUBI Participant Selection Implementation they still use a conventional system so that the WUBI Participant Selection Process takes a long time so it is not effective and efficient. Existing computerization systems that have not been computerized often cause difficulties in finding participant data because they still use files or documents. Solution to the problem in the selection of WUBI Participants, the authors designed the WUBI Participant Participation System based on the website and the Selection of Participants using the SAW Method using four criteria, namely Business Survey, Innovation, Creativity and Financial Managerial as supporting criteria for WUBI Participant Selection. Keywords: SAW, selection information system, WUBI

Brand Communication with Branded Smartphone Apps: First Insights on Possibilities and Limits

Branded apps represent a new possibility for enhancing brand image and service satisfaction. Compared with other forms of advertising, branded apps are welcomed as useful. Consumers are often more engaged with such apps, and therefore their users tend to process brand-related information more deeply and for a longer time than during passive consumption of other media. Research confirmed that app interaction consistently improved brand attitude, purchase intention and involvement in the respective product category. Remarkably, not only the brand itself, but the general interest for the whole category, was positively affected. Even though the results are promising, there are some “real world” issues that might limit the branded app’s success. First, it is becoming increasingly challenging for companies to ensure a new app is noticed when there are several hundred thousand others available. Second, to actually be used by consumers on a regular basis, the apps need to provide real benefits.

PRODUCT INTERACTIONS AND INDUSTRY SHAKEOUT

We construct an industry shakeout model based on the Cournot competition of firms each producing a differentiated product and adjusting their output according to the diffusion of their respective product. We investigate the resulting Lotka-Volterra dynamics and present a coexistence region that is a function of the interaction among the products. We show that as the products become less differentiated, the competition intensifies and the coexistence region contracts. The extent of the shakeout depends on the distribution of the competitive interactions among firms in the industry.