Price Rigidity and the Volatility of Vacancies and Unemployment

The successful matching model developed by Mortensen and Pissarides seems to find its hardest task in explaining the cyclical movements of some key labor market variables such as the vacancy rate and the vacancy-unemployment ratio. Several authors have discussed mechanisms compatible with the matching technology that are able to deliver the kind of correlations observed in the data. In this paper we explore four such additional mechanisms embedded in a full blown SDGE model. We find that price rigidity greatly improves the model's empirical performance making it capable of reproducing second moments of the data. Other components such as intertemporal substitution, endogenous match destruction, capital accumulation and distortionary taxes also play a relevant role.unemployment, vacancies, business cycle, price rigidities

Revenue Management, Dynamic Pricing and Social Media in the Tourism Industry: A Case Study of the Name-Your-Own-Price Mechanism

The application of revenue management (RM) is changing more rapidly than ever before, driven as an important factor of the daily operation to keep prices competitive and to create real-time optimal pricing. In the age of the Internet and social media, negotiated fixed rates have become outmoded. Consumers now have access to online rate comparisons and real time reviews. They think more strategically when making purchasing decisions. Thus, they become more demanding. This research provides an empirical study of revenue management and pricing with an emphasis given to the hospitality industry. The aim of this research is to examine the gap between the theoretical approach and the empirical analysis, the rationality between the implementation of dynamic pricing approaches and the impact on the customer. Furthermore, the research examines the perception of consumers’ willingness to pay when using the Name-Your-Own-Price (NYOP) mechanism, which allows customers to have a greater influence on the amount they are prepared to pay. Instead of posting a price, the seller waits for a potential buyer’s offer, which he or she can either accept or reject. Finally, this study examines, whether the use of social media plays a decisive role in the online purchase environment used by the hospitality sector and the effect it has on a consumer’s willingness to pay. Accordingly, hotel revenue managers will be able to use the findings of this study to effectively plan their short-term, and long-term pricing strategies to generate a stronger revenue management performance for their property, namely to increase the RevPAR (revenue per available room). The research can be useful to businesses, as empirical data and tests were employed to determine what kind of impact the different pricing policies have on the long-term profit optimization. These practical and theoretical elements of the field reinforce each other‚ as well as to a large extent, the constructive interplay of theory and practice. The research is twofold, the holistic approach, which discusses the development of the theoretical dimension, is complemented by the practical analysis of the collected data of the surveys. This approach ensures the relevant observation of ‘real-time’ data and the evaluation of the set of hypotheses. The study conducted two large scale interrelated structured surveys. The first structural survey (NYOP) provides a better understanding of the final consumer, by using the name-your-own-price mechanism and by observing the extended role of social media in the booking procedure. Hypotheses were tested and in the second survey in-depth data from revenue managers and executives working across the tourism industry was collected, in an attempt to measure the use of pricing strategies within the industry. The research contributes to the theory by empirical testing how the extended RM objectives influence RM and pricing. It provides a clear picture of the necessary elements for a successful implementation of pricing strategies. Finally, the study has implications for the consumer. Thus, the researcher investigates consumer’s perception to the NYOP model and the expanding role of social media to the consumer-booking pattern

A Multi-Level Theory Approach to Understanding Price Rigidity in Internet Retailing

Price rigidity involves prices that do not change with the regularity predicted by standard economic theory, and is of long-standing interest to firms and industries, and our understanding of the economy as a whole. The previous IS literature has failed to identify the central role of IT and Internet retailing-related technologies to explain the rigidity of prices on the Internet. Instead, it has offered only limited explanations, such as menu costs and tacit collusion. These ideas, and quite a few other key theoretical perspectives were formulated in disciplines other than ours. Thus, the issue of price rigidity and price adjustment in Internet retailing should be given more scrutiny than the literature has provided to date. We review and synthesize what we know about price rigidity in non-electronic retailing contexts using a multi-level theory approach that identifies three unique levels of analysis: the firm-specific level, the firm-to-consumer level, and the firm-to-market level. We evaluate to what extent this knowledge is applicable to explain price-setting and price adjustment on the Internet. We conclude that there should not be less price rigidity in Internet retailing than in traditional retailing – even though the Internet is involved. To this end, we recommend a multi-level variance theory of Internet-based price rigidity. This study provides a foundation for the development of new theoretical perspectives at the crossroads of the academic disciplines of marketing, economics and IS. It encourages research that is able to probe for a deeper understanding of new economic phenomena associated with the digital economy’s growth

Pricing the Cloud: An Auction Approach

Cloud computing has changed the processing and service modes of information communication technology and has affected the transformation, upgrading and innovation of the IT-related industry systems. The rapid development of cloud computing in business practice has spawned a whole new field of interdisciplinary, providing opportunities and challenges for business management research. One of the critical factors impacting cloud computing is how to price cloud services. An appropriate pricing strategy has important practical means to stakeholders, especially to providers and customers. This study addressed and discussed research findings on cloud computing pricing strategies, such as fixed pricing, bidding pricing, and dynamic pricing. Another key factor for cloud computing is Quality of Service (QoS), such as availability, reliability, latency, security, throughput, capacity, scalability, elasticity, etc. Cloud providers seek to improve QoS to attract more potential customers; while, customers intend to find QoS matching services that do not exceed their budget constraints. Based on the existing study, a hybrid QoS-based pricing mechanism, which consists of subscription and dynamic auction design, is proposed and illustrated to cloud services. The results indicate that our hybrid pricing mechanism has potential to better allocate available cloud resources, aiming at increasing revenues for providers and reducing expenses for customers in practice

Attribute preferences on clothing reselling platforms of Italian consumers - impact of different attribute levels on platform adoption

The individual part is taken out of the conjoint analysis and is comprised of counterfactual scenarios, which have been conducted to allow further insights into consumer preferences, especially into price sensitivity. For this purpose, starting with the attribute composition of the most realistic market scenario, scenarios have been created for the most important attributes of the conjoint study: buyer protection, product price and additional fee. The analysis of the different scenarios enabled the finding that price sensitivity does depend on the brand on the one hand and on the type of monetary component, i.e. product price and additional fee

HPC Cloud for Scientific and Business Applications: Taxonomy, Vision, and Research Challenges

High Performance Computing (HPC) clouds are becoming an alternative to on-premise clusters for executing scientific applications and business analytics services. Most research efforts in HPC cloud aim to understand the cost-benefit of moving resource-intensive applications from on-premise environments to public cloud platforms. Industry trends show hybrid environments are the natural path to get the best of the on-premise and cloud resources---steady (and sensitive) workloads can run on on-premise resources and peak demand can leverage remote resources in a pay-as-you-go manner. Nevertheless, there are plenty of questions to be answered in HPC cloud, which range from how to extract the best performance of an unknown underlying platform to what services are essential to make its usage easier. Moreover, the discussion on the right pricing and contractual models to fit small and large users is relevant for the sustainability of HPC clouds. This paper brings a survey and taxonomy of efforts in HPC cloud and a vision on what we believe is ahead of us, including a set of research challenges that, once tackled, can help advance businesses and scientific discoveries. This becomes particularly relevant due to the fast increasing wave of new HPC applications coming from big data and artificial intelligence.Comment: 29 pages, 5 figures, Published in ACM Computing Surveys (CSUR

Volume Discount Sensitivity Analysis for Optimal Pricing Strategies in B2B Firms

Volume discounts are particularly prone to misinterpretation in the B2B sector. This is because corporate clients are more inclined to purchase things in large quantities. This research argues that when considering a volume discount, the first line of examination should be volume discount sensitivity analysis. We define volume sensitivity as how much a product's volume discount influences a customer's desire or readiness to purchase. It indicates the relative relevance of volume discount to other product features or buying factors for purchasers. We discussed how techniques such as the Ladder method, Van Westendorp method, and Gabor-Granger approach can assist the firms in devising optimal volume discount strategies.  This research also discusses the volume hurdle analysis in the context of volume discounting.  If a firm anticipates meeting the volume hurdle, a volume discount may be necessary. If the volume hurdle exceeds the predicted change in sales, the volume discount cannot be supported, and the company should adopt other options

Multichannel Management

A company operating various sales channels, e.g. the Internet and a traditional shop, inevitably faces a tricky coordination problem. As prevalent approaches often do not lead to a satisfying solution, the author suggests a normative model to offer directions for the optimal channel coordination. The model is based on stochastic purchase and switching probabilities, given certain conditions like prices and supportive marketing activities (like delivery time or shop environment). A company can fit its consumer base to the model and simulate various effects on its earnings by altering prices or marketing activities. The model is a market-based playground to develop new holistic strategies for a multichannel company without affecting the market

The Welfare Implications of Non-Patentable Financial Innovations

Investment Banks invest in R&D to design innovative securities even when imitation is possible, i.e., when innovations cannot be patented. We show how a financial institution can profit from the development of financial products even if they are unpatentable. For certain types of financial products innovating investment banks have an information advantage over imitators. This information advantage makes them better competitors and market leaders. The mere possibility of costless imitation drives innovators’ profits down, but still keeps them positive. The absence of patents allows part of the surplus generated by the innovation to be allocated to investors. The extent of surplus sharing depends on the degree of asymmetry in the information owned by imitators and innovators and on the total number of innovators. The larger this asymmetry, the higher the innovator’s profits and the lower the investor’s surplus. With more than one innovator all the surplus goes to investors.Financial innovation, imperfect imitation, patents