Visualization of Real-time Twitter Data based on Sentiment Classification

Analyzing information from social media sites could bring great challenges and opportunities to solve many real time problems. It gives the public opinion about almost every product, personality or any service. The data from social networking sites is more accurate and useful to analyze the public sentiment about the trending topics. The activity of analyzing opinions, sentiments and also the subjectivity of data that is provided, is called sentiment analysis. Tweepy is an easy-to-use python library which is used to extract source data from twitter. From these tweets, features are extracted and then classified using Naïve Bayes algorithm to identify sentiment. This aims to provide an interactive automatic system which predicts the sentiment of the tweets posted in social media using python in real-time. These applications of sentiment analysis are broad and they tend to be very useful in today’s lifestyle. It will evaluate people's sentiment about the trends, entertainment, political issues and products which helps to improve marketing strategies with the help of hashtags, keywords etc.

Managing emotion for a sustainable future

This paper seeks to theoretically explore the role of emotion in designing products that consumers will love and use for long. The new insights on value of product and visual perception are drawn from interdisciplinary scholarship: 1) product value consists of “utilitarian and hedonic values”, 2) product personality consists of “semantic and symbolic personalities”, and 3) product form consists of “shape and surface”. These perspectives have been developed into patterns of consumer purchase and possession that are defined by the degrees of utility and emotional attachment that the product offers to consumers. Subsequently, a possible way of managing a consumer’s psychological process towards a decision of “desired purchase” will be illustrated. Finally, these discussions of emotionally attractive products will be integrated with the emergent research area of artificial intelligence for consideration of future production.

Using Personas in the Design Process. Towards the Development of Green Product Personality for In-Car User Interfaces

The desire to combine advanced user-friendly interfaces with a product personality communicating environmental friendliness to customers poses new challenges for car interior designers, as little research has been carried out in this field to date. In this paper, the creation of three personas aimed at defining key German car users with pro-environmental behaviour is presented. After collecting ethnographic data of potential drivers through literature review, information about generation and Euro car segment led to the definition of three key user groups. The resulting personas were applied to determine the most important interaction points in car interior. Finally, present design cues of eco-friendly product personality developed in the field of automotive design were explored. Our work presents three strategic directions for the design development of future in-car user interfaces named as a) foster multimodal mobility; b) emphasize the interlinkage economy - sustainable driving; and c) highlight new technological developments. The presented results are meant as an impulse for developers to fit the needs of green customers and drivers when designing user-friendly HMI components.

Making Ours Mine: Increasing Consumer Acceptance of Access-Based PSS through Temporary Product Customisation

Access-based product-service systems (AB-PSS) have the potential to lower environmental impacts. Currently, a lack of consumer acceptance and, consequently, low adoption levels of AB-PSS are challenges preventing the realisation of their sustainability potential. This study proposes temporary product customisation to lower barriers for the acceptance of AB-PSS. We investigated whether customisation through modifying the appearance of an easily changeable attribute of a typical product, and thereby changing the product personality, could improve consumer acceptance while limiting the impact on sustainability. To explore this, a 3 × 1 between-group design experiment was conducted with consumers who are familiar with offerings similar to the AB-PSS we tested. The results indicate that respondents have a strong preference, as is widely recognised, for typical products in an AB-PSS. Infusing meaning and intangible value into accessed products through customisation can simultaneously lead to wider acceptance in the market and individual consumers’ satisfaction. Our findings confirm that consumer acceptance increases if a product fulfils intangible needs along with functionality needs. The results can be used to think about new ways in which product design can enhance the diffusion of AB-PSS in the consumer market.

Consumer-brand congruence and conspicuousness: an international comparison

Purpose The purpose of this paper is to understand how congruence influences product evaluations in an international Latin culture context, as moderated by the public vs private nature of the product and user-image vs product-personality congruence. Design/methodology/approach Participants were recruited from two universities in Spanish-speaking, Latin cultures: Spain – Latin Europe (n=340) and Uruguay – Latin America (n=400). All participants were asked to indicate product-personality congruence (i.e. congruence between one’s self and the product) and user-image congruence (i.e. congruence between a product’s typical user and the product) for two private and two public products. Findings Two types of congruence (product-personality and user-image) positively influence brand evaluations more for publicly consumed than for privately consumed brands for consumers in both Latin cultures, with effect sizes being greater than prior research in other cultures. Research limitations/implications This research supports congruence theory in showing that similarity between a consumer and a brand leads to more favorable attitudes. Limitations include the sole use of student subjects and examination in only two countries of Latin culture. Practical implications Regardless of a brand’s personality, brands should seek consumers with similar personality traits, especially in Latin cultures. Originality/value This research addresses several limitations in prior research by examining both publicly and privately consumed products in one study, exploring congruence across Latin cultures, and testing products not confounded by addictive properties.

Key Performance Indicators for the Organized Farm Products Retailing in India

The Non-livestock products include Horticulture products (flowers, fruits, nuts, vegetables and medicinal plants) and Agriculture products (Crops like; rice, cotton, wheat). These items share the maximum sale of the farm products. Unfortunately, the farm production in India has witnessed a huge wastage. It has attracted the attention of many practitioners and policy makers. Witnessing the opportunity many organized retail players have entered the arena to sell farm products. However, the supply chain (SC) performance measurement has remained the major challenge as “No measurement no improvement”. Many organizations are searching for an efficient SC performance measurement system. Our study recommends that the SC performance shall be improved by developing a SC strategy based on a limited set of key performance indicators (KPI). Otherwise, managers shall waste time and resources on the undesirable performance indicators. We have identified and classified the KPI for non-livestock retailing SC management into five groups. These are 1) Customer Attraction Metrics (product quality, product personality, process quality); 2) Inventory Metrics (fill rate, customer response time, return adjustment, spoilage adjustment, and Vendor managed inventory); 3) Attractiveness Metrics (inventory cost, distribution cost, Return on investment, stakeholder value, sales profit and channel flexibility); 4) Transportation Metrics (shipping errors, and volume flexibility); and 5) Customer Metrics (lead time, delivery flexibility, and backorder flexibility). This grouping shall help the practitioners to focus on a limited set of KPI for better management of supply chains.

Key Performance Indicators for the Organized Farm Products Retailing in India

The Non-livestock products include Horticulture products (flowers, fruits, nuts, vegetables and medicinal plants) and Agriculture products (Crops like; rice, cotton, wheat). These items share the maximum sale of the farm products. Unfortunately, the farm production in India has witnessed a huge wastage. It has attracted the attention of many practitioners and policy makers. Witnessing the opportunity many organized retail players have entered the arena to sell farm products. However, the supply chain (SC) performance measurement has remained the major challenge as “No measurement no improvement”. Many organizations are searching for an efficient SC performance measurement system. Our study recommends that the SC performance shall be improved by developing a SC strategy based on a limited set of key performance indicators (KPI). Otherwise, managers shall waste time and resources on the undesirable performance indicators. We have identified and classified the KPI for non-livestock retailing SC management into five groups. These are 1) Customer Attraction Metrics (product quality, product personality, process quality); 2) Inventory Metrics (fill rate, customer response time, return adjustment, spoilage adjustment, and Vendor managed inventory); 3) Attractiveness Metrics (inventory cost, distribution cost, Return on investment, stakeholder value, sales profit and channel flexibility); 4) Transportation Metrics (shipping errors, and volume flexibility); and 5) Customer Metrics (lead time, delivery flexibility, and backorder flexibility). This grouping shall help the practitioners to focus on a limited set of KPI for better management of supply chains.

Flexible man-man motivation performance management system for Industry 4.0

Many companies are oriented on the 4th industrial revolution, they solve daily a lot of new working situation in management and organization of own production processes. The purpose of this paper Is to present methodological tool for motivation of own staff by implementation of Industry 4.0 concept. There is most important by this concept to manage and lead all employees for effective and profitable communication with e-technologies used in company. Important dates for the methodology proposal were taken from surveys realized in selected industrial companies (2014, 2015), oriented on the implementation of Industry 4.0 concept in 3 countries. According to results achieved, quantitative and qualitative analyses were realized and identified core motivation trends for effective e-processes. Presented results show key parameters and orientation strategies for flexible employees motivation, integrated in process teams in the area of production planning and organization. There is important to use various motivation strategies, dependent from the process – product – personality motivation of employees. This methodology proposal has the limitations in the small amount of companies that have implemented Industry 4.0 concept. If we are interesting on the new production management strategies in this environment, we should take positive and negative feedback from existing companies for effective new man-man strategies connected with e-processes. The research and results presented in this article open new ways of managerial strategies for production departments and industrial enterprises in the era of 4th industrial revolution. Many companies focus their attention solely on the implementation of e-technologies and e-processes, while still pay less attention to an equally important element – human. In practice will help this methodology to optimize man-man cooperation and teamwork for profitability of complex e-production systems and e-technologies. This paper extends managerial strategy configuration model highlighting new ways of man-man strategies that motivate company employees effective to cooperate with new-implemented e-technologies in according to achievement of optimal process performance.