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Since its inception in 2009, the growth of real-time bidding (RTB) advertising has been dramatic. Yet, there is a dearth of research in the information system (IS) literature despite the potential for negative e-commerce outcomes. The purpose of this paper is to identify salient antecedents of users’ attitude toward RTB advertisements.

A research model was constructed and tested with data from 437 respondents. SmartPLS 3.0, a partial least square (PLS) structural equation modeling (SEM) tool, was used to evaluate the research model and test the hypotheses.

The findings indicate that user attitude is determined by opposing influences from the cognitive and affective attributes of an RTB advertisement. A surprise is found to elicit greater perception of advertisement personalization, timeliness and relevance, as well as privacy and intrusiveness concerns. While RTB advertisement relevance appears to lessen the effect of advertisement intrusiveness, privacy concern is exacerbated when the advertisement is more personalized. The authors discuss the implications of this study for click-through intentions and e-commerce.

At this point in the evolution of RTB advertising, the findings indicate that the surprise generated by the appearance of an RTB advertisement is not currently a “bad” surprise. In addition, the formation of positive user attitude toward RTB is complex because cognitive factors interact with users' concerns to strengthen or weaken the negative effects. The authors also demonstrate that attitude and stimulus–organism–response (S–O–R) theories are useful theoretical bases for the development of causal models to predict RTB attitude and click-through intentions.

Drawing on a sample of 520 negative reviews posted on TripAdvisor against all five-star hotels operating in Petra, Jordan, the purpose of this paper is to evaluate the response of luxury hotels to negative online reviews by considering the Response Rate (RR), the Response Time (RT) and the Response Content (RC).

A deductive content analysis was used on hotels’ managerial responses. Based on the literature review, a four-construct scheme was identified to guide the analysis including Appreciation; Apology; Explanation; and Incentive. The managerial responses were carefully read and manually coded based on the four-construct scheme. The time between the review posting date and the date of the managerial response was also recorded. Luxury hotel managers were also surveyed to obtain insights into their perceptions and practices with respect to online reputation management.

The findings call into question luxury hotels’ awareness of the harmful impact of negative online reviews. Specifically, the findings suggest that less than half of the negative reviews received a managerial response, and that more than half of these were standardized and did not refer to the issues raised in the reviews. The low response rate coupled with the hotel managers’ consensus on the importance of answering all online reviews indicates inconsistency between hotel managers’ perceptions and practices with regard to online reputation management.

The paper adds to the ongoing debate on reputation management in the hospitality industry by considering the managerial response to negative online reviews. The paper discusses several managerial implications for hotel managers as well as avenues for future research.

本论文以TripAdvisor网站上520条关于约翰佩特拉古城五星级酒店的负面评论为样本, 分析豪华酒店如何应对网上负面评论, 具体评估变量包括反应率（RR）,反应时间（RT）,以及应对内容(RC)。

本论文采用由繁入减的方法来文本分析酒店经理应对反馈内容。结合文献综述, 本论文共确立四个变量：（1）感谢；（2）道歉；（3）解释；以及（4）补偿。经理回复内容经过了研读和手动编码等过程进行分析。评论刊登和经理反馈时间差也经过审阅分析。此外, 豪华酒店经理还接受了问卷调查来获得他们关于在线名誉管理的意见和处理措施。

本论文结果呼吁豪华酒店对于网上负面评论的严重影响的重视。其中, 研究结果表明, 不足一半的负面评论获得了经理回复, 而且, 一半以上的回复还是标准回答, 并没有涉及评论中提出的问题。低回复率以及酒店经理对于回复所有网上评论的统一认识表明, 酒店经理对于网上名誉管理的认知和措施存在于不一致性。

本论文主要研究了经理应对在线负面评论的态度和措施, 其研究结果对于酒店业名誉管理方面一直以来存在的争论提供了科学检验。本论文讨论了多个酒店经理人管理理念以及提供了未来科研方向。

In this paper, the authors aim to investigate the return, volatility and correlation spillover effects between the crude oil market and the various Indian industrial sectors (automobile, financial, service, energy, metal and mining, and commodities sectors) in order to investigate optimal portfolio construction and to estimate risk minimizing hedge ratios.

The authors compare bivariate generalized autoregressive conditional heteroskedasticity models (diagonal, constant conditional correlation and dynamic conditional correlation) with the vector autoregressive model as a conditional mean equation and the vector autoregressive moving average generalized autoregressive conditional heteroskedasticity model as a conditional variance equation with the error terms following the Student's t distribution so as to identify the model that would be appropriate for optimal portfolio construction and to estimate risk minimizing hedge ratios.

The authors’ results indicate that the dynamic conditional correlation bivariate generalized autoregressive conditional heteroskedasticity model is better able to capture time‐dynamics in comparison to other models, based on which the authors find evidence of return and volatility spillover effects from the crude oil market to the Indian industrial sectors. In addition, the authors find that the conditional correlations between the crude oil market and the Indian industrial sectors change dynamically over time and that they reach their highest values during the period of the global financial crisis (2008‐2009). The authors also estimate risk minimizing hedge ratios and oil‐stock optimal portfolio holdings.

This paper has empirical originality in investigating the return, volatility and correlation spillover effects from the crude oil market to the various Indian industrial sectors using BVGARCH models with the error terms assumed to follow the Student's t distribution.

The purpose of this paper is to focus on the implications of claimed detrimental impacts for the agricultural activity of the Great Barrier Reef (GBR) ecosystem health in Queensland, Australia. The authors discuss the complex interaction of factors that have contributed to the decline in reef ecosystems and the challenges presented by multiple industries operating within the GBR catchment area. The authors then discuss measures employed to address agricultural run-off, claimed to be a significant factor in declining reef water quality.

Surveys of land managers were undertaken in partnership with two of the six natural resource management (NRM) organizations operating in areas adjacent to the GBR identified as having very high risk of natural and anthropogenic runoff. The sample population was obtained from a membership database within the two regions. Participants include land managers from the both regions who engaged in sugar cane production (Region 1 and Region 2, included in this paper) and cattle production (Region 2, to be reported later). Quantitative and qualitative data were analyzed including open-ended responses.

A large-scale study of land managers reveals several reasons for the lack of success at reducing agricultural run-off. The authors discuss the rationale for a move to a theory-grounded social marketing approach to encouraging land manager behavior change, highlighting barriers, and potential enablers of sustained behavior change.

This study is first of its kind that discusses the behavior of land managers in the GBR catchment area and highlights facilitators and impediments of land managers’ behavior change toward GBR protection actions.