Participatory Culture and Tourist Experience: Promoting Destinations Through YouTube

Consumer segmentation based on Stated environmentally-friendly behavior in the food domain

ABSTRACTThis paper is concerned with the game theoretic mechanisms of interaction between a load serving entity and several types of power consumers (with elastic and inelastic demand). The main focus is on the bounded rational and fully rational consumers, and respective utility functions are defined for them. The demand-side management (DSM) principles are used to analyze the load at different times of the day for different types of consumers. The proposed statement allows the formulation of coordinated prices in rates for different types of consumers, and optimization of demand: peak load decreases relative to a daily average one. The problem is reduced to a convex optimization problem that has a unique solution in the presented form. The obtained result is in the form of a separating equilibrium (when different consumers choose different rates), which brings the retail market equilibrium closer to the maximum public welfare.

YouTube social media is one part of changes in technological advances that provide information openly to its users, so that it can indirectly have an impact, especially among teenagers. Given how YouTube's social media is very easy to access by various groups, this research aims to analysis the impact that the use of YouTube and family social media has on religious behavior and pro-social behavior of teenagers, especially in the city of Sidoarjo. This type of research is quantitative with 140 young respondents in Sidoarjo City, which was taken by random sampling technique. The data obtained in this study were obtained from filling out and distributing questionnaires. The research was completed using multiple regression analysis with the SPSS Statistics application. The results of data processing show that the impact of YouTube and family social media on religious behavior in adolescents in Sidoarjo City has a correlation coefficient of 0.695 and a coefficient of determination of 0.483 at a significance of α (0.05). Meanwhile, the impact of social media YouTube and family on pro-social behavior in adolescents in Sidoarjo City has a correlation coefficient of 0.632 and a coefficient of determination of 0.399 at a significance of α (0.05). So it can be concluded that there is an impact of YouTube and family social media on religiosity and prosocial behavior in adolescents in Sidoarjo City.

PurposeThe incentive cost of enterprises increases significantly with the rapid growth of the social commerce (SC) market. In this context, enterprises need to develop the optimal strategy to improve incentive effectiveness and reduce cost. Different types of consumers’ responses to incentives bring different values to enterprises. Hence, this paper proposes the social commerce value network (SCVN) to help enterprises study the contributions of different types of consumers to the network.Design/methodology/approachBased on the graphical evaluation and review technique (GERT), the authors construct the social commerce value GERT (i.e. SCV-GERT) network and design three progressive experiments for estimating the value contributions of “network stage”, “consumer type”, and “resource type” to the SCVN under the same incentives. The authors initialize the SCV-GERT model with consumer data in SC and distinguish the most valuable consumers by adjusting the incentive parameters.FindingsThe results show that the SCV-GERT model can well describe the value flow of SCVN. The incentive on forwarding consumers brings the greatest value gain to the SCVN, and social trust contributes the most to forwarding consumers.Practical implicationsUnder the guidance of the results, platforms and enterprises in SC can select the optimal type of consumers who bring the maximum network value so as to improve the effectiveness of incentive strategy and reduce marketing costs. A four-level incentive system should be established according to the ranking of the corresponding value gains: forwarding consumers > agent consumers > commenting consumers > potential consumers. Enterprises also need to find ways to improve the social resource investments of consumers participating in SC.Originality/valueThis paper investigates the incentive problem in SC grounded in the SCVN and uses the GERT method to construct the SCV-GERT model, which is the first attempt to introduce GERT into the SC context. This study also makes up for the lack of comparative research on different types of consumers in SC and can provide support for enterprises’ customer relationship management and marketing decisions.

The benign consumption of two-sided markets and the quality improvement of the supply side is the core of the sustainable development of platform ecology. This paper discusses how the platform uses personalized service values to influence the decision making of manufacturers and consumers, thus improving the health development of the platform ecosystem. By constructing the vertical differentiation model, we find that, different from the unified pricing strategy in the benchmark market, manufacturers in the platform market can implement personalized pricing, according to the different types of consumers’ quality preferences. When the platform service value is less than the product cost difference between manufacturers, low-quality manufacturers may benefit from the platform. Meanwhile, when the platform service value is greater than the product cost difference between manufacturers, the lemon market may appear and platforms should set the differentiated subsidy strategy according to the type of market consumers; this is a dominant strategy. In addition, when the number of consumers with low-quality demand in the market is large, the platform’s subsidies for high-quality products to consumers will guide consumers to buy high-quality products; this will not only promote the development of the benign market, but also improve the platform’s revenue. Finally, the sensitivity analysis shows that the platform service value has a U-shaped impact on the platform revenue and an inverted U-shaped impact on the manufacturers’ revenues.

Based on the 873 questionnaires collected from six cities in four provinces in China, we made a quantitative analysis of different types of consumers’ expectations for government low-carbon subsidies by using the SPSS. The results indicate that: (1) Significant differences exist in the ‘expectations for government subsidies on low-carbon products’ from different types of consumers; there are significant differences among consumers with different monthly income, educational attainment and age on the ‘expectations for government subsidies on low-carbon products’, but the difference is not significant for the consumers in different regions or gender. (2) Monthly income and educational attainment exert significant influences on consumer ‘expectations for government subsidies on low-carbon products’, and the influence of monthly income is the biggest. Finally, we put forward policy recommendations accordingly.

Businesses nowadays have been adapting to technological advancements since the start of the 21st century to promote their products. The majority of the global population has been exposed to the digital world, and businesses have engaged themselves in the online environment. Social media tools have become a vital component in advertising products and have contributed significantly to creating countless innovations. Using social media has given online businesses options for managing their performance towards their brand and interacting with consumers through social media platforms. These digital improvements have benefited the consumer electronics industry. The goal of the study was to gain a thorough understanding of how social media platforms and tools impact the performance of online retail businesses in the consumer electronics industry. The study used the quantitative approach, and online survey questionnaires were distributed to 185 respondents. Results revealed that perceived ease of use, social media advertising, and electronic word-of-mouth (eWOM) all have a positive effect on the performance of online retail businesses in the consumer electronics industry. The implications of this research aim to benefit aspiring online business owners, consumers, and future researchers, and help them maximize social media to make them stand out from prospective competitors. Keywords: customer engagement, digital advertising, online marketing, retail businesses, social media

Businesses nowadays have been adapting to technological advancements since the start of the 21st century to promote their products. The majority of the global population has been exposed to the digital world, and businesses have engaged themselves in the online environment. Social media tools have become a vital component in advertising products and have contributed significantly to creating countless innovations. Using social media has given online businesses options for managing their performance towards their brand and interacting with consumers through social media platforms. These digital improvements have benefited the consumer electronics industry. The goal of the study was to gain a thorough understanding of how social media platforms and tools impact the performance of online retail businesses in the consumer electronics industry. The study used the quantitative approach, and online survey questionnaires were distributed to 185 respondents. Results revealed that perceived ease of use, social media advertising, and electronic word-of-mouth (eWOM) all have a positive effect on the performance of online retail businesses in the consumer electronics industry. The implications of this research aim to benefit aspiring online business owners, consumers, and future researchers, and help them maximize social media to make them stand out from prospective competitors. Keywords: customer engagement, digital advertising, online marketing, retail businesses, social media

Globally, alcohol-abuse is a major cause of mortality and morbidity. Consumption of alcohol has increased in India in the recent decades. It is imperative to know the patterns of alcohol consumption among different types of consumers to launch a well-planned nationwide programme for the prevention and control of this devastating social pathology. This community-based, cross-sectional study was undertaken to identify the patterns of alcohol intake among different types of alcohol consumers and to assess the clinical signs of chronic harmful alcohol-use. A predesigned, pretested, semi-structured alcohol-use disorders identification test (AUDIT) questionnaire was used for interviewing males, aged >18 years, selected by random sampling from an updated household list of a randomly-selected sector of the service area of the Urban Health Centre in Chetla, Kolkata, West Bengal, India. Written informed consents were obtained from all the respondents. Relevant clinical examination for chronic harmful alcohol-use was done according to the AUDIT clinical screening procedures. The results revealed that 65.8% (150/228) were current consumers of alcohol; 14% were alcohol-dependents; 8% were hazardous or harmful consumers, and 78% were non-hazardous non-harmful consumers. The mean age of the respondents at the initiation of drinking alcohol was 20.8+5.9 years. Eighty-six percent of dependents (n=21) took both Indian-made foreign liquor and locally-made alcoholic beverages. The proportions of alcohol consumers who drank alone among alcohol-dependents, hazardous or harmful consumers, and non-hazardous non-harmful consumers were 71.4%, 50%, and 7.7% respectively, and the difference was significant (p<0.01). Forty-one percent of the consumers drank at public places and workplaces, which may be socially harmful. About 38% of the dependents purchased alcohol from unlicensed liquor shops. Only 16% expressed concerns for their drinking habit mainly to the past illness. The proportion of the concerned respondents was higher in the hazardous and harmful drinking patterns than in the non-hazardous non-harmful drinking pattern, and the difference was significant (p<0.05). About 62% of the dependents had clinical signs of chronic alcohol consumption. The presence of a considerable proportion of alcohol-dependents, the low mean age at initiation of drinking alcohol, and the habit of drinking in public places and workplaces are the main areas that need special emphasis by intervention programmes.

PurposeThe purpose of this paper is to determine the social media (SM) tools that are the most prevalent for project management activities, ascertain the areas of project management that are most benefited by SM, elucidate enablers and inhibitors to adoption of SM and identify the implications for virtual teams.Design/methodology/approachA Delphi study was used to explore why and how SM is being utilized in projects. In total, 32 participants contributed to three rounds of Delphi study, comprising two rounds of questionnaire followed by confirmatory interviews. The vulnerabilities and difficulties associated with the use of SM were examined by qualitative interviews.FindingsInformation sharing SM tools, such as YouTube, Dropbox, SlideShare, flickr, CrowdStorm and Instagram, are the most advantageous to project management. However, the tools utilized differ at different stages of the project lifecycle. The major benefit of SM is that it enables project teams to communicate efficiently and positively affects virtual team dynamics. Adoption can be inhibited by the absence of infrastructure in rural areas and differing preferences for SM tools in global regions. There is also a perceived lack of maturity of policies and procedures to govern SM adoption and use.Research limitations/implicationsThe research was conducted based on the Project Management Body of Knowledge version 5 project management processes.Practical implicationsThe findings will enable practitioners to select SM tools that are suitable for project activities and forewarn about potential shortfalls. The findings also facilitate a qualitative analysis of SM attributes and their effect on project management.Social implicationsProject practitioners can use the findings to adopt SM for their project management.Originality/valueThis study extends the literature concerning the use of SM for project management, provides a foundation for future research and may present as a useful guide for the adoption of relevant SM tools.

A monitoring tool of a complex Grid system can gather a huge amount of information that have to be presented to the users in the most comprehensive way. Moreover different types of consumers could be interested in inspecting and analyzing different subsets of data. The main goal in designing a Web interface for the presentation of monitoring information is to organize the huge amount of data in a simple, user-friendly and usable structure. One more problem is to consider different approaches, skills and interests that all the possible categories of users have in looking for the desired information. Starting from the Information Architecture guidelines for the Web, it is possible to design Web interfaces towards a closer user experience and to deal with an advanced user interaction through the implementation of many Web standard technologies. In this paper, we will present a number of principles for the design of Web interface for monitoring tools that provide a wider, richer range of possibilities for what concerns the user interaction. These principles are based on an extensive review of the current literature in Web design and on the experience with the development of the GridICE monitoring tool. The described principles can drive the evolution of the Web interface of Grid monitoring tools.

The recent Coronavirus disease (COVID-19) pandemic was of particular concern for the public worldwide due to its threat on patients’ health and life. This study aims to determine the proportion of Kuwaitis who obtained COVID-19 virus- and health-related information through the social media and to detect the socio-demographic factors that could affect the use of social media for seeking information on viruses in general and COVID-19 in particular. An electronic questionnaire was the major tool of study and was distributed to 2,108 Kuwaiti participants who use social media. The questionnaire was composed of respondents' demographic information, the degree of COVID-19 news, the information gained through social and traditional media tools, and the extent of using social media tools. Data show that there were significant differences between males and females in the Corona Symptoms Knowledge Scale (CSKS), Corona General Health Knowledge Scale (CGHKS), and Social Media Trust Scale (SMTS). There were significant differences among the age categories regarding the amount of general health knowledge gained through social media as well as the amount of knowledge gained regarding Coronavirus symptoms. The degree of trust in social media also differed between age groups. For the social media platform, WhatsApp was the preferred social media tool to utilize for news about Coronavirus. For the traditional media, official Kuwaiti TV channels was the first media preference for following news. Public health workshops are needed to educate the community on how to find official health-related information sites using the internet and social media platforms during the disease outbreak.

An effective Decision Support System for social media listening based on cross-source sentiment analysis models

The aim of the paper is to analyse the territorial disparities of the drinking water infrastructure in the Oltenia Plain.The study focuses on the following main aspects, specific for the general dynamic of water infrastructure development in the last decade:-the increase in the number of human settlements connected to drinking water network; -quantitative aspects of drinking water production (cubic meters/ day) and different types of consumers (thousand cubic meters).The article intends to highlight the data-base on NUTS V level (TEMPO Online time series, National Institute of Statistics) and to map the main changes registered by the statistical indicators used for the analysis: the number of territorial-administrative units (ATU) connected to the drinking water network, the length of the drinking water infrastructure, the capacity of installations to produce drinking water, the consumption of water by the different types of consumers).In the Oltenia Plain the extension of the number of ATUs connected to the drinking water network was linked with the development of the regional operator in water management, Water Company Oltenia.Despite its weaknesses, this main actor on the watermarket of Oltenia will install workstations in two small towns (Băileşti and Calafat), assuring better water services in a relatively large area of the Oltenia Plain.During the last ten years, the water infrastructure became more accessible for the rural settlements and population.The production of drinking water decreased (the capacity of installations to produce drinking water in 2008 was smaller by 1.1% than in 2000) in the last decade, this dynamic being related to the negative evolution of total population (a decrease by 98,736 inhabitants between 1990 and 2009) in the Oltenia Plain, and to decline of agricultural and industrial activities.The two types of consumers (the householders and other consumers = economic actors) differ concerning the rate of the decrease in their consumption: the household type consumption drops only by 17%, compared with 49.2% specific for the other consumers.This dynamic should be explained by the reduction in economic activities, great water consumers (e.g.agriculture and industry).

As online platforms are swiftly becoming a dominant interface of government–citizen interactions, it is crucial that these platforms are inclusive. This article considers the potential of using digital trace data for assessing inclusivity in online platforms. Given that Google Analytics (GA) is a popular tool for collecting and analyzing digital trace data, this article asks to what extent GA is useful in usability evaluation for assessing inclusivity. This article reports on a case study in which GA was used for the usability evaluation of an online participation platform of a local government in The Netherlands. The usability evaluation via GA highlights that the platform was less inclusive toward two categories of users, namely, mobile users and users who access the platform via social media or referral. We conclude that GA is helpful for assessing inclusivity in online government platforms, particularly to the extent that it can be used to monitor whether there are differences in usability for different categories of users. Shortcomings of GA are that it gives limited insights into underlying reasons for identified behavioral patterns, that data quality can be compromised, and that functionalities of GA are restricted based on privacy or legal considerations.