The influence of internet customer reviews on the online sales and prices in hotel industry

In this paper, the impact of two service quality metrics (star rating and customer rating) on hotel room sales and prices is investigated. Two of the most popular tourist destinations in the world, Paris and London, are chosen. It is found that a higher customer rating significantly increases the online sales of hotels. The study results show that a 1% increase in online customer rating increases Sales per Room up to 2.68% in Paris and up to 2.62% in London. Contrary to expectations, higher stars do not increase the sales. It is also shown that higher customer ratings result in higher prices of the hotel and the prices of high star hotels are more sensitive to online customer ratings.     

Entry to foreign markets and productivity: Evidence from a matched sample of Turkish manufacturing firms

We examine the effects of international trading activities of firms on creating productivity gains in Turkey by using a recent firm-level data set over the period 2003–2010. We establish treatment models and investigate the productivity improvements of firms through trade by using propensity score matching techniques together with difference-in-difference estimates. Three different groups of treatment are constructed: (1) firms that are involved only with import activities, (2) firms that are involved only with export activities and (3) firms that are involved with both export and import activities. The results of the study suggest that both exporting and importing have positive significant effects on total factor productivity (TFP) and labour productivity (LP) of firms. Importing is found to have a greater impact on productivity of firms compared to exporting. Further, two-way trade is found to have more significant effects than those of one-way trade on firm productivity. Finally, our results indicate that international trade has greater impact on LP rather than TFP of firms.     

Security in a sea of insecurity: job security and intention to stay among service sector employees in Turkey

This article examines the association between job security and intention to stay for those who are employed in Turkey. There is a high level of unemployment in the country and many workers there are concerned about their job security. Job security refers to the objective dimensions of continuous contract, working full-time hours and paid and unpaid overtime. Job security also refers to the subjective dimension of perceived job security. We surveyed 407 employees in banking and related sectors' call centres, five-star hotel front-line staff and airline cabin crews. Results show that objective dimensions of job security are not associated with intention to stay. However, perceived job security is significantly and positively associated with intention to stay. We recommend that human resource managers focus on the perceived job security aspect of employment to keep valuable employees with the company.     

New Borders and Trade Flows: A Gravity Model Analysis of the Baltic States

The objective of this paper is to provide evidence on the effects of an economic and political union by studying the trade flows of the three Baltic countries of Estonia, Latvia and Lithuania after the breakup of the Soviet Union. We specify and estimate a gravity model of exports for the Nordic countries which enables us to determine the size and direction of trade flows in the Baltic states had they not been affected by the political institutions of the Soviet Union. Our results suggest that Baltic foreign trade was not only reduced significantly but also diverted to the members of the former Soviet Union. Consistent with our estimates, we also find that these consequences of the former political union are quickly dissipating, and the Baltic countries are increasing their share of exports to the European Union and the U.S.     

Factors Influencing the Incidence of Bribery Payouts by Firms: A Cross-Country Analysis

This article explores micro- and macro-level variables that influence the incidence of bribery payouts by firms. A rich data set with information from 55 countries was utilized to achieve this objective. Results of logit regression models indicate that there are a number of micro- and macro-level factors that significantly affect the incidence of bribery payouts. This suggests that it is not only the characteristics of a firm but also the environment of doing business that affect the firm’s bribery decision. The results of this study provides information that may help firms develop strategies to reduce corruption in their respective industries and thereby improve their image of corporate social responsibility. The analysis also points to possible policy directions that governments could undertake in order to reduce the incidence of bribery in their country.      

Impact of ICT on the productivity of the firm: evidence from Turkish manufacturing

This paper aims to explore the impact of Information and Communication Technologies (ICT) on labor productivity growth in Turkish manufacturing. This is the first attempt at exploring the impact of ICT on productivity in Turkish manufacturing at the firm level. The analysis is based on firm level data obtained from Turkish Statistical Institute (TURKSTAT) and covers the period from 2003 to 2012. The data used in the analysis includes all firms employing 19+ workers in Turkish manufacturing industry. Growth accounting results show that the contributions of conventional and ICT capital to value added growth are not significantly different from each other. On the other hand, results based both on static (fixed-effects) and dynamic panel data analysis highlight the positive influence on firms’ productivity exerted by ICT capital. The findings show that the impact of ICT capital on productivity is larger by about 25 to 50% than that of conventional capital. This contribution of ICT capital is higher than that of non-ICT capital for small sized and low-tech firms. Our findings imply that investing in ICT capital increases firm productivity by increasing the productivity of labor and also that convention growth accounting approaches may not be adequate to identify such linkages.     

All-pay war

We study a model of conflicts and wars in which the outcome is uncertain not because of luck on the battlefield as in standard models, but because countries lack information about their opponent. In this model expected resource levels and production and military technologies are common knowledge, but realized resource levels are private information. Each country decides how to allocate its resources to production and warfare. The country with the stronger military wins and receives aggregate production. In equilibrium both comparative and absolute advantages matter: a larger resource share is allocated to warfare by the country with a comparative advantage in warfare at relatively low realized resource levels, and by the country with an absolute disadvantage in warfare at relatively high realized resource levels. From an ex-ante perspective the country with a comparative advantage in warfare is more likely to win the war unless its military potential is much lower.     

Merits of Task Advice during New Product Development: Network Centrality Antecedents and New Product Outcomes of Knowledge Richness and Knowledge Quality

Utilizing new product development (NPD) teams to accomplish complex tasks in firms has been an emergent issue in many industries throughout the last couple of decades. Despite numerous studies, formation and efficient management of NPD teams is still a developing research domain. Using the knowledge‐based view of the firm and social network theories complementarily, this paper contributes to literature by examining the intrafirm social relational structures of NPD teams. Focusing specifically on the network centrality of the NPD teams, this paper argues that network centrality types of closeness, betweenness, and degree centralities influence the quality and richness characteristics of knowledge received through task advice seeking. Subsequently, the knowledge gained with these characteristics enhances product innovativeness and new product success. Consequently, the second contribution of this paper is to conceptualize the effect of the task advice‐seeking activities of NPD teams on NPD outcomes. The paper concludes with a discussion of the empirical testing of the proposed model, including suggestions for focal construct operationalizations as well as other future research directions.     

Perceptions and knowledge of accounting professionals on IFRS for SMEs: Evidence from Turkey

This exploratory study extends the literature on IFRS for SMEs issued by the IASB in July 2009, and adopted by Turkey in November 2010. A questionnaire survey, based on the relevant literature and IFRS for SMEs, was developed. The aim was to investigate basic knowledge and perceptions of accountants regarding IFRS for SMEs. Our findings suggest that proponents of stand-alone IFRS for SMEs outnumber its opponents. The respondents are not highly informed about the omission of certain topics in IFRS for SMEs. Their awareness of valuation methods/concepts in IFRS for SMEs is at a moderate level. Inadequacy of accounting personnel’s training and lack of training programs arranged by professional bodies are considered to be the most serious obstacles in implementation of the standards. The majority of the participants are not aware of the key differences between full IFRS and IFRS for SMEs and simplifications made in IFRS for SMEs. Accounting professionals who are trained about IFRS for SMEs and the employees of Big4 auditing firms are more knowledgeable about the standards in comparison to others. Education level and experience of respondents have partial positive impact on knowledge of the standards.     

Prediction of bank financial strength ratings: The case of Turkey

Bank financial strength ratings have gained widespread popularity especially after the recent financial turmoil. Rating agencies were criticized because of their ratings and failure to predict the bankruptcy of the banks. Based on this observation, we investigate whether the forecast of the rating of bank's financial strength using publicly available data is consistent with those of the credit rating agency. We use the data of Turkish banks for this investigation. We take a country-specific approach because previous studies found that proxies used for environmental factors (political, economic, and financial risk of the country) did not have any explanatory power and it is hard to find international data for other important factors such as franchise value, concentration, and efficiency. We use two popular multivariate statistical techniques (multiple discriminant analysis and ordered logistic regression) to estimate a suitable model and we compare their performances with those of two mostly used data mining techniques (Support Vector Machine and Artificial Neural Network). Our results suggest that our predictions are consistent with those of Moody's financial strength rating in general.. The important factors in rating are found to be profitability (measured by return on equity), efficient use of resources, and funding the businesses and the households instead of the government that shows efficient placement of the funds.