Gotowa bibliografia na temat „Video service platform、logit choice model”

With the increasing popularity and performance of portable platforms in taiwan, the potential business opportunities of video service in the future are amazing In Taiwan. The price, program content quality, system quality and service quality it provides will significantly affect user satisfaction and willingness to choose. Therefore, understanding how content quality, system quality, service quality and price affect consumers' continued usage behavior, and exploring the regulatory effect of users' own viewing devices on the relationship between the quality of various platform services and selection behavior will help the industry to formulate appropriate market segmentation marketing strategies based on the user characteristics of different viewing devices (such as age and family composition) and provide manufacturers with marketing strategies, which is the main research motivation of this study. From the establishment and analysis of the logit choice model , the key factors that increase the willingness to use the video service platform are content satisfaction, ease of operation, service satisfaction and system stability. Therefore, in practice, decision makers can measure their specific business strategies based on the cost and benefit required to improve the above factors.

Purpose: With the rise of online video streaming platforms and the preventive measures taken during the COVID-19 pandemic, staying at home has become the preferred choice for people. As a result, online video streaming platforms, one of the components of the home economy, have experienced rapid growth. Netflix is a subscription-based service that offers movies and TV shows, delivering media content to subscribers through internet streaming. Research methodology: This study utilizes the Importance-Satisfaction Model (I-S Model) as a research tool to explore customer satisfaction levels. Through literature review and expert confirmation, 16 key quality factors were identified for conducting importance and satisfaction surveys among Netflix customers. Additionally, demographic variables such as gender, marital status, education level, occupation, and age were analyzed for differences in the Importance-Satisfaction Model. Results: The study reveals that out of the overall Importance-Satisfaction Model, 2 factors fall in the "Improveme+nt area", 9 factors fall in the "Excellent area ", 4 factors fall in the "Careless area ", and 1 factor falls in the "Surplus area ". Limitations: The respondents were not randomly selected from all OTT video platform users, and furthermore, due to limitations in the distribution channels of the questionnaire, the age range of the respondents in this study was concentrated in high school, college, and young working groups. Contribution: These findings indicate that consumers are generally satisfied with the service quality provided by Netflix.

The aim of this research was to examine the relationship between different communication channels, response times, and user experience on the online platform Upwork. The sample included 300 users of the platform who assessed satisfaction, efficiency, and trust in service providers based on interactions through various communication channels (Upwork platform, email, video calls, and instant messaging). The results of the correlation analysis showed a significant correlation between satisfaction and efficiency and between satisfaction and trust, while the relationship between efficiency and trust was also positive and statistically significant. The ANOVA analysis showed that there was a significant difference in the average level of customer satisfaction between different communication channels. A regression model for predicting satisfaction based on response time and choice of communication channels showed that shorter response times and the use of video calls significantly contributed to higher satisfaction. The results indicate that choosing the right communication channel and response speed can play a key role in improving the user experience on online platforms.

A complex of various technological innovations, which, first of all, have information and communication content, among which it is necessary to mention news and analytical Internet portals, messengers like Whatsapp, hybrid and convergent media tools such as Telegram and Facebook, video hosting and editing services (Youtube and TikTok), streaming platforms, and numerous other technological solutions have a great impact on political processes in Central Asia, transforming them and reformatting them. Their influence is most pronounced in Kazakhstan, for a number of reasons, among which a higher standard of living of the population and, accordingly, the paying capacity of the audience, the depth of Internet penetration, the development of the communication sphere, etc. In this regard, the situation in Kazakhstan presented to be largely as a model for the entire region of Central Asia. The impact of communicative technological innovations in the Republic of Kazakhstan is manifested through the intensification of socio-political processes, the restructuring of society, through the emergence of new groups of influence, as well as the creation of dialogue and discussion platforms, often of an informal plan, which contribute both to the unification and differentiation of the social organism. This gives rise to various dilemmas in the choice of state approaches to the use of communicative technological innovations, which is expressed both in encouraging the development of the information and communication sphere, and in attempts to limit civic activity if it goes through the channels of new means of communication. The author suggests that in the coming years, the impact of communicative technological innovations on political processes in Kazakhstan will be under the sign of the two indicated contradictory tendencies (striving for freedom and control), especially considering the neighborhood with the two powers, China and the Russian Federation, with their predominantly repressive logic of interaction state with society.

Technology is becoming constantly important for customers. Automatic number plate Recognition (ANPR) is a device which enables the identification of a number plate in real time. For an intelligent car service, ANPR helps to promote growth, customize the classic app and increase consumer and employee productivity. Within the specification, the principal function of ANPR lies of removing the characteristics from an illustration of a license plate. An application that enables customers to display automobile repairs through the license platform number only derived from a loaded picture is augmented by a smart car service. Technological progress is that, so it is thought that improvement is important in this region too, so the best choice for automotive services is a smart car company. This work proposed a methodology to detect the numbers from car license plate using convolutional neural network. In the preprocessing of photographs on license plates, the WLS and FFT filters were included. The images are then fed into the convolutional trainings neural network. On more plates and tests is reported during the testing. Therefore, the findings indicate that the proposed solution can be taken in less time from the license model to accurately identify the characters. The experimental result shows the significance of proposed research by achieving an accuracy of 98% for the localization and true recognition of license plates from the video frames.

Technology is becoming constantly important for customers. Automatic number plate Recognition (ANPR) is a device which enables the identification of a number plate in real time. For an intelligent car service, ANPR helps to promote growth, customize the classic app and increase consumer and employee productivity. Within the specification, the principal function of ANPR lies of removing the characteristics from an illustration of a license plate. An application that enables customers to display automobile repairs through the license platform number only derived from a loaded picture is augmented by a smart car service. Technological progress is that, so it is thought that improvement is important in this region too, so the best choice for automotive services is a smart car company. This work proposed a methodology to detect the numbers from car license plate using convolutional neural network. In the preprocessing of photographs on license plates, the WLS and FFT filters were included. The images are then fed into the convolutional trainings neural network. On more plates and tests is reported during the testing. Therefore, the findings indicate that the proposed solution can be taken in less time from the license model to accurately identify the characters. The experimental result shows the significance of proposed research by achieving an accuracy of 98% for the localization and true recognition of license plates from the video frames.

This paper analyzed how the sampled farmers use online applications to exploit the opportunities along the agricultural value chain. More specifically, the study considered how access to digital credit, online market platforms, youtube tutorials and the social economic characteristics of the sampled farmers influence their agri-enterprise development at the various stages of the agricultural supply chain. Multinomial logistic regression was employed as the regress and was a categorical variable consisting of three mutually exclusive choices. The study identified gender, online tutorials and household income as the key variables towards the development of different agricultural enterprises along the agricultural supply chain. With agricultural processing reporting the highest audience in the online tutorials, value addition of agricultural produces would be a milestone in agricultural industrialization. While the multiplier effect of value addition cannot be underestimated, the direct impact of this is a catalyst towards a turnaround investment in agriculture and agricultural technological innovations.
 Introduction
 
 According to Okello (2017), agricultural enterprises (agri-enterprise) are businesses which derive most of their revenue from agricultural based activities either directly or indirectly and they include; farmers, individual traders, shops and kiosks, brokers, processors, marketers and input firms among others. With the advancement in technology and intelligence based production techniques, the survival of agriculture in Kenya relies on how actors will integrate modern technologies in the entire value chain.
 Agribusiness innovations in Kenya are emerging albeit marred by various challenges. Like any other enterprises, entrepreneurs in the agricultural value chain find challenges in accessing capital to venture into marketing and value addition of agricultural commodities. A study by Okirigiti and Raffey (2015) on entrepreneurship challenges in Kenya found that one of the major challenges towards innovations is the start-up capital. Such capital would be expected to come in the form of a loan. Mwangi and Ouma (2012) notes that to qualify for a loan in a commercial bank in Kenya, one needs collateral or a pay slip from a reputable organization where one needs to have worked for a minimum of six months.
 In the adoption of digital credit, the perceived ease by borrowers in accessing credit as opposed to traditional methods has increased the rate of borrowing. The time involved before getting a loan from a commercial bank has also acted as a catalyst to drive thousands away. Banks in Kenya often require the borrower to offer them security and have a sound financial record as an assurance that they will be able to service the loan if granted (Gichukiet al., 2014).
 For agri-enterprise development in the country, startup capital is a prerequisite. Accessing this has been revised through digital credit where no collaterals and securities are required. The obstacles towards accessing loans have been minimized through digital lending and therefore providing lucrative opportunities for the youths who previously had been disadvantaged when accessing loans due to lack of collaterals and other securities.
 
 Social media and online platforms have captured the youths by blast where millions engage without realizing the potential of this blossoming sector. Facebook, twitter,whatsup, youtube and other online platforms provides an easy market for both raw and final agricultural products. A study by Kibet et al., (2018) indicates that over 2 million youths Kenya have access to online platforms at the palm of their hand on a daily base.
 This study conceptualized agri-enterprise development at two stages in the agricultural value chain; marketing/broker and value addition/processing. Marketing in this study was conceptualized as the process in which the individuals link the producers with the final consumers of agricultural products. In other words, these stakeholders are deemed to create a career from buying the raw produces from the farmers and selling the same product to the final consumer in the value chain. Processing was conceptualized as any action that increases the value and the shelf life of raw agricultural products
 
 .
 
 Conceptual Framework 
 This describes how credit access, online marketing, YouTube tutorials, and the social economic characteristics of the youths influence enterprise development along the agricultural value chain.
 
 
 
 Figure 1: Authors’ Conceptualization
 
 Materials and Methods
 To achieve the research objectives, both primary and secondary data were used to answer the research questions. Primary data collection was done using questionnaires as this is an efficient and convenient way of gathering the data within the resources and time constraints. Questionnaires consisting of structured and non-structured questions were used to collect data from the farmers and actors along the agricultural value chain in Tharaka-Nithi County, Kenya. Structured questions were used to collect quantitative and qualitative data from a sample size of 357 farmers. A multinomial logistic regression (MNL) was used to predict the impact of mobile online applications (independent variables) on agri-enterprise development (dependent variable). The choice of MNL was as a result of dealing with dependent variable that is categorical or dichotomous in nature as adopted from Wooldridge (2015). The primary question that this model answers is how the chooser’s characteristics affected their choosing of a particular alternative in the given sets of alternatives in the dependent variable.
 
 The MNL model was expressed as follows: 
 P(y=j/x) = (x / [1+ (x ], j=1, 2…J
 Where, y denotes a random variable taking on the values (1, 2…, J) for a positive integer J and x denote a set of conditioning variables. X is a 1xK vector with first element unity and βj is a K×1 vector with j = 2…, J. In this study, y represents the agri-enterprise options and x represents the online application options used and the social economic characteristics of the sampled farmers. The response probabilities P(y = j/x), j = 1, 2 …, J was therefore determined by the change in online application options and the farmers characteristics. However, since the probabilities must sum to unit, P(y = j/x) will be determined once the probabilities for j = 1, 2 …, J are known.
 
 Results and DiscussionsDescriptive statisticsGender
 The subject of gender is considered fundamental in this study largely because it could help the researcher get
 
 
 
 
 
 
 Figure 2: Gender composition of the sampled farmers
 
 The findings imply that the views expressed in these findings are gender sensitive and can be taken as representative of the opinions of both genders.
 Usage of YouTube tutorials
 The sampled farmers were asked to indicate how they use YouTube videos to advance their knowledge in farming with three choices given. From the reported results in table 1 below, 25.8% of the farmers indicated that they use online platforms to learn how to maximize the storage of their outputs. This has a great implication to food security in the country as literature suggests that farmers report over 33% of post-harvest losses due to lack of knowledge of the best storage practices. Processing knowledge acquisition by the farmers constituted 44.6% indicating that many farmers in the country are willing to add value on their raw agricultural products. Branding presented 29.7% indicating the desire to increase the output value of their outputs along the agricultural supply chain.
 
 
 Figure 3: Online knowledge acquisition
 
 
 Regression Analysis
 In the study, the second category of the dependent variable, “Broker,” was taken as the baseline category, while the first category of the independent variables was taken as the baseline category and the results were interpreted accordingly. As the validity of the multinomial logistic regression model was examined with the Odds Ratio Test, the model was found to be significant for ?2=57.23 and (?< 0.0000) values. For each category of the models, it is seen that ? coefficients take different values and hence the odds ratios of the variables for each category varies.
 The effect of each independent variable on the dependent variable in the multinomial logistic regression model is different from each other for each category. In the multinomial logistic regression model, the categories that include significant coefficients can be interpreted in terms of the how much they increase or decrease the odds ratios with respect to the second category, which was taken as the baseline category. The results of multinomial logistic regression analysis are given in Table 1
 
 Table 1: Multinomial Login Results
 
 
 
 
 
 
 
 A positive coefficient of a regressor suggests increased odds for marketer over broker, holding all other regressors constant. Thus, from table 1 above, we observe that if the income level increases, the odds of engaging in marketing increases by 0.99 compared to being a broker, holding all other variables constant. Similarly, the significant gender variable implies that the odds in favor of being a male are greater than that of being a female when engaging in different agri-enteprise choices,again holding all other variables constant.
 In the second choice, the odds in favor of YouTube tutorials and household income are higher in processing option compared to being a broker in the agricultural supply chain. These findings have a great implication in exploiting the opportunities along the agricultural supply chain. Specifically, if farmers can have access to internet, there is high marginal propensity towards self-learning on how to increase the value of the agricultural products as well as mediating between producers and the final consumers of agricultural products.
 Conclusions
 Agriculture in Kenya has been viewed for a long time as something that one does when he or she has nothing else left to
 
 However, technological innovations have modernized agriculture along the value chain from production to Consumption. With high unemployment rate among the youths in Kenya, enterprise development in marketing and value addition can ease in pulling the unemployed and hence contributing to decreasing the alarming rate of unemployment among the youths in the country. Aligning agricultural management practices with emerging issues like ICT and Artificial Intelligence based production techniques is the next sustainable frontier in Kenyan agriculture. However, as the study indicates, one of the significant variables that complement online apps in fostering the development of agri-enterprises is the level of income. If farmers can be empowered financially, there is a possibility of exploiting the infinite opportunities along the agricultural supply chain.
 
 
 
 
 
 References
 
 
 Gichuki, J. A. W.; Njeru, A.; Tirimba, O. I. Challenges facing micro and small enterprises in accessing credit facilities in Kangemi Harambee market in Nairobi City County, Kenya. International Journal of Scientific and Research Publications. 2014, 4(12), 1-25.
 Kibet, Amos.; Stephen Ward."Socially networked heterogeneity: the influence of WhatsApp as a social networking site on polarisation in Kenya." African Journalism Studies. 2018, 39(4), 42-66.
 Wooldridge, J. M. Control function methods in applied econometrics. Journal of Human Resources. 2015, 50(2), 420-445.
 Kisumu Ndogo Slums in Eldoret Municipality Kenya. European Open Business & Management Journal. 2015, 1 (1),
 Mwangi, I. W., & Ouma, S. A. Social capital and access to credit in Kenya. American Journal of Social and Management Sciences. 2012, 3(1), 8-16.
 Okello, D. O. Effect of ICT use on performance of Agri-enterprises.A case of smallholder pineapple farmers in Kiambu County, Kenya(Doctoral dissertation, Egerton University). 2017.
 Okirigiti, C.A. and Rafey, M.A. Challenges Facing Youth Entrepreneurs in Slums in Kenya: A Case. 2015, 1-10.
 
 

AbstractHeterogeneity of consumer preferences is a crucial feature of the platform economy, and service price and charging strategies crucially influence customer choice behavior. To enhance consumer experience and boost product value, video platforms offer value‐added services, also known as premium membership features. For instance, Youku's benefits of value‐added service include seamless video playback, high‐definition picture quality, and exclusive episodes. This study constructs a two‐stage Hotelling model from monopoly to duopoly competition. Considering the heterogeneity of consumer preferences for product quality and platform usage costs, we analyze the impact mechanism of the customer preferences heterogeneity and the service pricing of video platform enterprises. In addition, we analyze the Nash equilibrium strategies of competing enterprises in the competition scenario, and we consider two charging strategies: freemium and bundled sales. The results indicate that the consumer sensitivity factors significantly impact the optimal pricing of services and the profits of enterprises and that this impact varies with the heterogeneity of customer composition and the type of charging strategies. For the optimal solutions in a competition scenario, the proportion of quality‐sensitive customers is positive for the freemium model, whereas it is negative for the bundled sales model. Furthermore, we analyze the impact of heterogeneous customer composition on the choice of charging strategy utilizing numerical analysis. This study provides a theoretical basis and decision support for product development and value‐added service pricing that can be applied to video platform enterprises and other media platforms.

ObjectivesSexual health is an integral part of well-being. However, the sexual health needs and desires of middle-aged and older adults have been largely disregarded. Therefore, this study aimed to understand the sexual health service preferences of adults aged 45 and older to improve the accessibility of sexual health services in the UK.MethodsThe formative stage of the discrete choice experiment (DCE) followed three steps: concept elicitation, refining and implementation. The attributes and levels were determined through 22 semistructured interviews during the concept elicitation, followed by pilot testing for refining the survey. Qualtrics XM, with conjoint project features, was implemented as the DCE survey platform. We used a random parameter logit model to estimate the relative importance (RI) of each attribute and preference for each attribute level. We also used a latent class model to explore groups of participants with similar preferences.ResultsIn total, 200 responses were included for analysis. The demographic breakdown included 62.5% females, 35.5% people with disabilities and 26.0% identifying as a sexual minority. The median age was 53. Preferences for using sexual health services were mainly influenced by the mode of delivery (RI 32%), location (RI 18%) and cost (RI 16%). Participants showed a preference for face-to-face interactions at sexual health clinics and displayed a willingness to pay for private services. Extra support and the consultation style played minor roles in their decision-making process. No differences in preferences were identified among disabled people. However, sexual minorities expressed their preferences for conventional messaging.ConclusionsOur study revealed that middle-aged and older individuals prioritise sexual health services offering face-to-face consultations, emphasising a preference to attend sexual health clinics over cost. Aligning service delivery with these preferences has the potential to significantly improve the accessibility and uptake of sexual health services for adults aged 45 and older in the UK.

This paper proposes the use of heatmaps as a control lever to manage the probabilistic repositioning of independent drivers in crowdsourced delivery platforms. The platform aims to maximize order fulfillment by dynamically matching drivers and orders and selecting heatmaps that trigger the probabilistic flow of unmatched drivers to balance driver supply and delivery requests across the service region. We develop a Markov decision process (MDP) model to sequentially select matching and heatmap decisions in which the repositioning behavior of drivers is captured by a multinomial logit discrete choice model. Because of the curse of dimensionality and the endogenous uncertainty of driver repositioning, the MDP model is solved using a rolling-horizon stochastic lookahead policy. This policy decomposes matching and heatmap decisions into two optimization problems: a two-stage stochastic programming upper bounding problem for matching decisions and a mixed-integer programming problem for heatmap decisions. We also propose a simple policy for efficiently solving large-scale problems. An extensive computational study on instances derived from the Chicago ride-hailing data set is conducted. Computational experiments demonstrate the value of heatmaps in improving order fulfillment beyond the level achieved by matching alone (up to 25%) and identify conditions that affect the benefit of using heatmaps to guide driver repositioning. Funding: The authors gratefully acknowledge the support of the Natural Sciences and Engineering Research Council of Canada through Discovery Grants [Grants RGPIN-2024-04881, RGPIN-2020-04498, and RGPIN-2019-06207] awarded to the first, second, and third authors, respectively. Supplemental Material: The online appendix is available at https://doi.org/10.1287/trsc.2022.0418 .