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Based on the traditional buyback model, this paper aims to propose a new buyback method – the variable buyback contract – to solve the serious inventory backlog in the current economic situation.

In this paper, the authors further study the buyback problem in a two-level supply chain with uncertain demand. Such a problem can be found in many research papers, which also use the Stackelberg game model. They put forward many factors that affect the buyback price, including risk preference, random arrival of consumers, etc. Different from the existing research, the authors propose another factor that may affect supply chain buyback – the retailer's remaining inventory to study the buyback contract.

First, the authors found that under the variable buyback contract, there is an optimal retail price, wholesale price and an optimal range of parameter settings for the buyback price. Second, the proposed Pareto-optimal solution for system improvement can achieve supply chain coordination. Third, under some conditions, the variable buyback contract is better than the wholesale price contract and fixed-price buyback contract.

First, this is the first paper to discuss to measure the buyback price with the retailer's remaining inventory. Second, the proposed buyback contract can help decision-makers to choose the optimal improvement strategies. Third, this contract has a certain practical significance, which can effectively alleviate the current inventory backlog problem.

Although the evidence exists for the effect of promotional frame on repurchase intention, it is unclear whether the timing of repurchase can moderate the effect. In this paper, three experiments were conducted to answer this question.

In Experiment 1, a 2 (framing: bundle vs. gift) × 2 (repurchase target: focal vs. supplementary) × 2 (timing: short vs. long) between-subjects design was used. In Experiment 2, an identical design was used except that repurchase target being the within-subjects factor. In Experiment 3, the design was based on that of Experiment 2 and brand was added a between-subjects factor.

Experiment 1 showed that, with a short interval, repurchase intention under gift frame was higher than that under bundle frame. With a long interval, there was no significant difference between the gift and bundle frames. Experiment 2, however, indicated no effects for expensive products. Experiment 3 showed that brand (private versus national brand) moderate the interaction between framing, repurchase target and timing. Particularly, for private brand, no significant comparisons were found; for national brand, repurchase intention for the focal product was significantly higher than for the supplementary product, but only under the conditions of long interval and gift frame (rather than bundle frame).

Taken together, findings from the current study contributes to the literature by showing for the first time that repurchase timing can moderate the promotional frame effect (i.e. higher repurchase intention under gift framing relative to bundle framing occurs in the short interval but not long interval) and that brand type can moderate the joint effects of framing, timing and repurchase target (i.e. national brand, rather than private brand, paired with long interval and gift frame results in higher repurchase intention for the focal product). The findings provide marketers with important knowledge in terms of how to adjust a promotional frame depending on when consumers repurchase a product and whether the product has a private or national brand.

Positive reviews can enrich the favorable impression of peer-to-peer accommodation products, and seizing this impression is vital for hosts. This study aims to focus on hosts’ response strategies to positive reviews and their effects.

This study categorizes hosts’ response strategies to positive reviews into cordial and tailoring responses. This study empirically analyzes the influence of these response strategies on subsequent review volumes using 1,283 valid listings and zero-inflation negative binomial regression models.

While hosts use cordial responses more, tailoring responses are more likely to drive subsequent reviews. In addition, when the host chooses entirely shared accommodation or sets a high price, the facilitating effect of the two response strategies on subsequent reviews weakens.

This study enriches the knowledge system on managerial responses by proposing two specific response strategies to positive reviews that can be adopted by peer-to-peer accommodation hosts and by finding the promoting impact of these strategies on subsequent review volumes.

This study recommends that peer-to-peer accommodation hosts adopt cordial and tailoring responses to encourage subsequent consumer reviewing behavior.

As an early attempt to explore hosts’ responses to positive reviews and their impacts on subsequent review volumes, this study provides valuable insights into further research on positive review response strategies in the digital space.

According to construal level theory, close (versus far) psychological distance is associated with low (versus high) construal level. Despite the evidence for discount frame effect, it is unclear whether psychological distance and product nature play moderating roles. In addition, little has been known whether the effect of discount frame can extend to other dependent variables such as willingness to pay (WTP). Driven by construal level theory, five experiments were conducted to explore whether the effect of discount frame is dependent on psychological distance and product nature (i.e. utilitarian versus hedonic product).

The experimental method was used, with discount frame, psychological distance and product type as the independent variables and purchase intention, attitude towards the advertisement, perceived value and WTP as the dependent variables. Participants were presented with promotion scenarios in which psychological distance and discount format were manipulated. In order to test the generalizability of results, promotional scenarios for both utilitarian (i.e. backpack bag and shampoo) and hedonic products (i.e. scenery ticket and perfume) were presented. Data were collected via the online experiment platform (i.e. www.Credamo.com).

The authors found an interaction between discount frame and spatial distance in that consumers had more positive attitude toward percent off than amount off under near-spatial distance. However, no interaction was observed between discount frame and temporal, social or hypothetical distance.

Taken together, the current study for the first time reveals that the effect of discount frame is contingent on a specific dimension of psychological distance (i.e. spatial distance), regardless of whether the product is utilitarian or hedonic. Findings from this study for the first time pose a challenge to the notion that construal-level match necessarily leads to more favorable consumer responses, suggesting that there may be a unique mechanism underlying the joint effects of spatial distance and discount frame. The current findings can provide important implications for marketers and retailers in an effort to design effective promotional messages.

This chapter examines the ways social media, analytics, and disruptive technologies are combined and leveraged by political campaigns to increase the probability of victory through micro-targeting, voter engagement, and public relations. More specifically, the importance of community detection, social influence, natural language processing and text analytics, machine learning, and predictive analytics is assessed and reviewed in relation to political campaigns. In this context, data processing is examined through the lens of the General Data Protection Regulation (GDPR) effective as of May 25, 2018. It is concluded that while data processing during political campaigns does not violate the GDPR, electoral campaigns engage in surveillance, thereby violating Articles 12 and 19, in respect to private life, and freedom of expression accordingly, as stated in the 1948 Universal Declaration of Human Rights.

This study examines whether the absolute number heuristic holds for consumers' responses to higher-priced versus lower-priced products. Further, it explores whether the different construal level as induced from presence or absence of a product image can be a boundary condition for the absolute number heuristic.

Four experiments were conducted. In Experiments 1 and 2, participants were presented with a discount either in the amount off or percent off format, for products whose prices were 99 Yuan, 100 Yuan and 101 Yuan, respectively. In Experiment 3, the prices were changed to be 90 Yuan, 900 Yuan and 9,000 Yuan, respectively. In Experiment 4, the prices were 48 Yuan and 480 Yuan, respectively.

Experiment 1 showed neither main effect of discount frame nor interaction between price level and discount frame for all dependent variables (i.e. willingness to pay or WTP, purchase intention, attitude and perceived value), thus posing a challenge to the absolute number heuristic. Notably, the lack of main effect and interaction for purchase intention, attitude and perceived value were replicated in Experiments 2, 3 and 4. With WTP being the dependent variable, however, Experiment 4 showed that the effect of discount frame was dependent on price level.

The current findings pose a challenge to the absolute number heuristic and contribute to the literature by revealing that the joint effects of price level and discount frame can be moderated by whether an ad contains the product image.

It is necessary for marketers to realize that inclusion of a product image may eliminate the effect of discount frame. Specifically, in terms of promoting a relatively expensive product, in order for the percent off discount to enhance the amount of money that consumers are willing to pay, an ad without a product image may be more favorable.

The current study is the first to challenge the absolute number heuristic by showing that the interaction between price level and discount frame is contingent on whether an ad contains the product image.

Student recruitment and retention are important issues for all higher education institutions. Constant monitoring of student satisfaction levels is therefore crucial. Traditionally, students voice their opinions through official surveys organized by the universities. In addition to that, nowadays, social media and review websites such as “Rate my professors” are rich sources of opinions that should not be ignored. Automated mining of students’ opinions can be realized via aspect-based sentiment analysis (ABSA). ABSA s is a sub-discipline of natural language processing (NLP) that focusses on the identification of sentiments (negative, neutral, positive) and aspects (sentiment targets) in a sentence. The purpose of this paper is to introduce a system for ABSA of free text reviews expressed in student opinion surveys in the Serbian language. Sentiment analysis was carried out at the finest level of text granularity – the level of sentence segment (phrase and clause).

The presented system relies on NLP techniques, machine learning models, rules and dictionaries. The corpora collected and annotated for system development and evaluation comprise students’ reviews of teaching staff at the Faculty of Technical Sciences, University of Novi Sad, Serbia, and a corpus of publicly available reviews from the Serbian equivalent of the “Rate my professors” website.

The research results indicate that positive sentiment can successfully be identified with the F-measure of 0.83, while negative sentiment can be detected with the F-measure of 0.94. While the F-measure for the aspect’s range is between 0.49 and 0.89, depending on their frequency in the corpus. Furthermore, the authors have concluded that the quality of ABSA depends on the source of the reviews (official students’ surveys vs review websites).

The system for ABSA presented in this paper could improve the quality of service provided by the Serbian higher education institutions through a more effective search and summary of students’ opinions. For example, a particular educational institution could very easily find out which aspects of their service the students are not satisfied with and to which aspects of their service more attention should be directed.

To the best of the authors’ knowledge, this is the first study of ABSA carried out at the level of sentence segment for the Serbian language. The methodology and findings presented in this paper provide a much-needed bases for further work on sentiment analysis for the Serbian language that is well under-resourced and under-researched in this area.

The purpose of this paper is to review studies on ranking in finance journals, which have grown substantially in recent decades.

This paper depicts the trend and development of ranking studies in finance area, describes the regional work and lists the studies which focus on specific journal. This paper discusses some important and possible issues of ranking studies in finance in the future and makes some conclusions.

First, the authors find that the assessing method has changed from counting number to citation-based method. Second, the authors sort the ranking studies which focus on the research and publication quality based on regional area. Finally, in specific journal ranking studies, the authors can find how a journal reputation has changed, better or worse.

This paper reviews the ranking studies in finance area and particularly focusses on three parts. Because of the importance of ranking studies in research quality assessing, a series of issues are raised to improve the assessing objectiveness of journal ranking.