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نتیجه جستجو - Online reviews

تعداد مقالات یافته شده: 44
ردیف عنوان نوع
1 Distribution channel and licensing strategy choice considering consumer online reviews in a closed-loop supply chain
کانال توزیع و انتخاب استراتژی صدور مجوز با در نظر گرفتن بررسی های آنلاین مصرف کنندگان در یک زنجیره تامین حلقه بسته-2021
This research builds two-period game models to address the choice issues of the Original Equipment Manufacturer (OEM)’s licensing strategy and the Independent Remanufacturer (IR)’s distribution channel, considering consumer online reviews in a closed-loop supply chain. In both periods, the OEM sells new products by the direct distribution channel. In period 2, the OEM determines the licensing strategy (the fixed or royalty fee) to authourize the IR to remanufacture, and then the IR chooses the distribution channel (direct or indirect) for remanufactured products. Interestingly, our results show that the IR prefers the direct channel when the remanufacturing cost is smaller. And the obtained willingness-to-pay (WTP) from consumer online reviews has a positive impact on the threshold value of the remanufacturing cost. Moreover, we find that the OEM’s licensing strategy choice depends on the sizes of the fixed licensing fee and the obtained WTP. The OEM will choose the royalty licensing strategy to the IR who has chosen the direct channel, when the fixed fee and the obtained WTP are smaller. Finally, we find the optimal royalty fee, numerically examine the impact of the interaction among these factors on consumer surplus and social welfare, and relax the basic assumption to show the robustness of our model.
Keywords: Remanufacturing | Distribution Channel | Licensing strategy | Consumer online reviews |Pricing
مقاله انگلیسی
2 Propagation of online consumer perceived negativity: Quantifying the effect of supply chain underperformance on passenger car sales
انتشار مصرف منفی مصرف کننده آنلاین: کمی کردن تأثیر کم عملکرد زنجیره تامین بر فروش خودروهای سواری-2021
The paper presents a text analytics framework that analyses online reviews to explore how consumer-perceived negativity corresponding to the supply chain propagates over time and how it affects car sales. In particular, the framework integrates aspect-level sentiment analysis using SentiWordNet, time-series decomposition, and bias- corrected least square dummy variable (LSDVc) – a panel data estimator. The framework facilitates the business community by providing a list of consumers’ contemporary interests in the form of frequently discussed product attributes; quantifying consumer-perceived performance of supply chain (SC) partners and comparing the competitors; and a model assessing various firms’ sales performance. The proposed framework demonstrated to the automobile supply chain using a review dataset received from a renowned car-portal in India. Our findings suggest that consumer-voiced negativity is maximum for dealers and minimum for manufacturing and assembly related features. Firm age, GDP, and review volume significantly influence car sales whereas the sentiments corresponding to SC partners do not. The proposed research framework can help the manufacturers in inspecting their SC partners; realising consumer-cited critical car sales influencers; and accurately predicting the sales, which in turn can help them in better production planning, supply chain management, marketing, and consumer relationships.
Keywords: Supply chain management | Sentiment analysis | Panel data modelling | Online reviews | Natural language processing
مقاله انگلیسی
3 The influence of online review adoption on the profitability of capacitated supply chains
تأثیر پذیرش بازبینی آنلاین بر سودآوری زنجیره های تأمین خازنی-2021
The paper explores the influence of online review adoption on supply chain profitability under the presence of a capacity constraint. Nowadays, customers increasingly rely on online reviews for decision making, and online retailers regard reviews as a norm. Although online reviews have been extensively examined in marketing disciplines, little research has been conducted to investigate their influence from a supply chain perspective. In addition, previous research has largely focused on how online review information can influence customer purchase behaviours, but ignores the more basic decision: whether and when companies should adopt reviews. This paper examines the online review adoption decision from a capacitated supply chain perspective through mathematical modelling and simulation. The simulation considers the influence of variables including online review adoption decisions, capacity constraint level, lost sales penalty level and product quality estimation on supply chain profitability. Generally, we find that online reviews can bring more profit to the supply chain than without online reviews, although such influence is moderated by the other three variables. The findings reveal the complexity of the contextual variable impacts on online review adoption, and demonstrate that decisions concerning the adoption of online reviews should take all supply-chain-related variables into consideration rather than only aiming for increasing customer orders.
Keywords: Online reviews | supply chain | capacity constraint | simulation | inventory management
مقاله انگلیسی
4 The influence of online review adoption on the profitability of capacitated supply chains
تأثیر پذیرش بازبینی آنلاین بر سودآوری زنجیره های تأمین خازنی-2021
The paper explores the influence of online review adoption on supply chain profitability under the presence of a capacity constraint. Nowadays, customers increasingly rely on online reviews for decision making, and online retailers regard reviews as a norm. Although online reviews have been extensively examined in marketing disciplines, little research has been conducted to investigate their influence from a supply chain perspective. In addition, previous research has largely focused on how online review information can influence customer purchase behaviours, but ignores the more basic decision: whether and when companies should adopt reviews. This paper examines the online review adoption decision from a capacitated supply chain perspective through mathematical modelling and simulation. The simulation considers the influence of variables including online review adoption decisions, capacity constraint level, lost sales penalty level and product quality estimation on supply chain profitability. Generally, we find that online reviews can bring more profit to the supply chain than without online reviews, although such influence is moderated by the other three variables. The findings reveal the complexity of the contextual variable impacts on online review adoption, and demonstrate that decisions concerning the adoption of online reviews should take all supply-chain-related variables into consideration rather than only aiming for increasing customer orders.
Keywords: Online reviews | supply chain | capacity constraint | simulation | inventory management
مقاله انگلیسی
5 Intelligent decision-making of online shopping behavior based on internet of things
تصمیم گیری هوشمندانه از رفتار خرید آنلاین مبتنی بر اینترنت اشیا-2020
The development of big data and Internet of things (IoT) have brought big changes to e-commerce. Different kinds of information sources have improved the consumers’ online shopping performance and make it possible to realize the business intelligence. Grip force and eye-tracking sensors are applied to consumers online reviews search behavior by relating them to the research approaches in IoT. To begin with, public cognition of human contact degrees of recycled water reuses with grip force test was measured. According to the human contact degrees, 9 recycled water reuses presented by the experiment are classified into 4 categories. Based on the conclusion drawn from grip force test, purified recycled water and fresh vegetable irrigated with recycled water are regarded as the drinking for high-level human contact degree and the irrigation of food crops for low-level human contact degree respectively. Several pictures are designed for eye-tracking test by simulating an on-line shopping web page on Taobao (the most popular online shopping platform in China). By comparing the fixation time participants spent on the areas of interest (AOIs), we justify that consumers online reviews search behavior is substantially affected by human contact degrees of recycled products. It was found that consumers rely on safety perception reviews when buying high contact goods.
Keywords: Online reviews search behavior | Recycled products | Grip force sensor | Eye-tracking sensor | Internet of Things (IoT)
مقاله انگلیسی
6 Guest satisfaction & dissatisfaction in luxury hotels: An application of big data
رضایت و نارضایتی مهمان در هتل های لوکس: استفاده از داده های بزرگ-2020
In order to understand the pivotal attributes of luxury hotel service in Malaysia, this study analyses big data in the form of online reviews, as available in TripAdvisor. The content analysis, which was performed using the word frequency analysis has revealed that the main themes of luxury hotel service quality include hotel-related attributes, room-related attributes, staff-related attributes, travel-related attributes, and possible outcomes. The critical incident technique has also been performed to examine the antecedents and outcomes of hotel guests’ satisfaction and dissatisfaction. In this study, quality of rooms and interaction with employees have been determined as major drivers of customers’ word of mouth and revisit intentions. This study contributes with an empirical analysis of particular features of textual context and discussion of the concept of luxury service in the developing countries has been largely neglected so far.
Keywords: Luxury hotel service | Online review | Service quality | Satisfaction | Dissatisfaction | Post-purchase behavior
مقاله انگلیسی
7 Understanding the dynamics of review posting and the management intervention effects on those dynamics
درک پویایی ارسال مروری و تأثیرات مداخله مدیریتی بر این پویایی-2020
The purposes of the paper are (1) to examine the dynamic properties of online reviews, focusing on whether previous review trends contribute to herding or reactant behavior in subsequent review rating generation (dynamic flow), and (2) to explore the business value of management responses in the dynamic flow of online reviews based on Social Impact Theory and Rational Action Theory as the foundation. To this end, we analyze a series of regression and logistic models with quasi-experimental cases from a large online review dataset, col- lected from a leading online travel website in China. We find that both types of previous trends of reviews, positive and negative, contribute to reactant behavior in subsequent review rating generation. When the review trends are considered with management responses, we find that management responses have a positive impact on subsequent review ratings in the negative review trend, but not in the positive review trend.
Keywords: Online review generation | Reactant behavior | Management response | Social impact theory | Rational action theory | Quasi-experimental approach
مقاله انگلیسی
8 Clicking position and user posting behavior in online review systems: A data-driven agent-based modeling approach
کلیک بر روی موقعیت و رفتار ارسال کاربر در سیستم های مرور آنلاین: یک روش مدل سازی مبتنی بر عامل مبتنی بر داده ها-2020
In online review systems, a participant’s level of knowledge impacts his/her posting behav- iors, and an increase in knowledge occurs when the participant reads the reviews posted on the systems. To capture the collective dynamics of posting reviews, we used real-world big data collected over 153 months to drive an agent-based model for replicating the oper- ation process of online review systems. The model explains the effects of clicking position (e.g., on a review webpage’s serial list) and the number of items per webpage on posting contributions. Reading reviews from the last webpage only, or from the first webpage and last webpage simultaneously, can promote a greater review volume than reading reviews in other positions. This illustrates that representing primacy (first items) and recency (re- cent items) within one page simultaneously, or displaying recent items in reverse chrono- logical order, are relatively better strategies for the webpage display of online reviews. The number of items plays a nonlinear moderating role in bridging the clicking position and posting behavior, and we determine the optimal number of items. To effectively establish strategies for webpage design in online review systems, business managers must switch from reliance on experience to reliance on an agent-based model as a decision support system for the formalized webpage design of online review systems.
Keywords: Agent-based modeling | Big data | Online review systems | Clicking position | Posting behavior
مقاله انگلیسی
9 An assessment of opinions and perceptions of smart thermostats using aspect-based sentiment analysis of online reviews
ارزیابی نظرات و برداشت از ترموستات هوشمند با استفاده از تحلیل احساسات مبتنی بر جنبه های بررسی های آنلاین-2020
Smart thermostats have been on the market for nearly a decade, with an estimated adoption rate of 7% in 2018. With many regions of the U.S. having a heating and/or cooling system in nearly 100% of households, there is significant opportunity for further adoption, which can help support energy savings and building-grid interactions. However, more insight is needed to provide a better understanding of their utilization and user opinions. In this study, online reviews are used to evaluate users’ perceptions and attitudes towards smart thermostats. 26,372 product reviews were collected for five commercially-available smart thermostats and were analyzed with a confirmatory aspect-based opinion mining technique. An analysis of this dataset shows that the characteristics of the current user population show substantial differences compared to the more widely studied early adopters. When comparing the most commonly discussed topics, users generally do not discuss the energy and cost savings related features of their devices in comparison to other topics such as control, ease of use, and installation. In addition, comfort is discussed nearly twice as much as energy efficiency. The results of this work can help product manufacturers and utility providers to push towards more widespread adoption and efficient use.
Keywords: Energy savings | Smart thermostats | Smart home technology | Home energy management | Opinion mining
مقاله انگلیسی
10 بازدیدهای آنلاین: تفاوت ها ازنظر وسیله بازدید
سال انتشار: 2019 - تعداد صفحات فایل pdf انگلیسی: 4 - تعداد صفحات فایل doc فارسی: 12
این مطالعه نقش ایفا شده توسط وسیله بازدید (موبایل یا رایانه) را دررفتار بازدید آنلاین از سایت های مسافرتی بررسی می کند. ما بیش از 2/1 میلیون بازدید آنلاین از سایت Booking.com را تحلیل می کنیم و وجود و ویژگی های متمایز بازدیدهای آنلاین صورت گرفته توسط وسایل موبایلی را آشکار می سازیم. یافته های ما بیان می کنند که 1) سهم بازدیدهای آنلاین صورت گرفته توسط موبایل با گذشت زمان با نرخ بسیار بالایی افزایش یافته است (بالاتر از نرخ رشد بازدیدهای صورت گرفته توسط رایانه)؛ 2) یک تفاوت سیستماتیک و ازنظر آماری معنادار بین ویژگی ها و توزیع های بازدیدهای آنلاین صورت گرفته توسط وسایل موبایلی دربرابر بازدیدهای آنلاین صورت گرفته توسط رایانه ها وجود دارد. ما میزان آگاهی از نقش ایفا شده توسط وسایل بازدید آنلاین از سایت های مسافرتی را بالا می بریم و دلالت های موجود برای تحقیقات آتی را ارائه می دهیم.
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بازدید امروز: 2015 :::::::: بازدید دیروز: 3097 :::::::: بازدید کل: 36282 :::::::: افراد آنلاین: 17