Lebanon: From cataclysm to opportunity—Crisis management lessons for MNCs in the tourism sector of the Middle East

Lebanon is a complex country of extraordinary promise; often thrust into crisis, including recent military assaults, terrorist attacks and bombings. The authors share findings from a longitudinal field-study of the evolving political and business climate of Lebanon, emphasizing a particular MNC that is thriving amidst social, ideological and political conflicts. A synthesis of primary and secondary data revealed the InterContinental Phoenicia hotel as a model institution in the face of extreme crisis. Key managerial insights that can be helpful to investors, MNCs and managers in the Middle East and other places subjected to similarly extreme conditions are shared.     

Output gap measurement and the New Keynesian Phillips curve for China

The New Keynesian Phillips curve implies that the output gap, the deviation of the actual output from its natural level due to nominal rigidities, drives the dynamics of inflation relative to expected inflation and lagged inflation. This paper exploits the empirical success of the New Keynesian Phillips curve in explaining China's inflation dynamics with a new measure of the output gap. We estimate the output gap using the Bayesian multivariate Beveridge–Nelson decomposition method, based on a multivariate dynamic model featuring distinct interactions among inflation, money, and real output in China. The empirical results using quarterly data spanning 1979–2010 show that the new measure of the output gap outperforms the traditional measures in fitting the New Keynesian Phillips curve. This result provides useful insights for inflation dynamics and monetary policy analysis in China.     

Technology evaluation in Taiwan's technology industries: Strategies, trajectories, and innovations

Technology evaluation, as an organizational process, is the essential ability to comprehend the values of technologies very soon after they emerge. Meanwhile, the technology evaluation process is inevitably influenced by the firm's industrial context, such as its technological trajectory. This study defines technology evaluation strategy in terms of the processes, methods, and participants involved, and uses this definition as a taxonomy to explore different types of technology evaluation strategies. A survey on the technological industries is conducted to explore types of technology evaluation strategies and their relationships with the advantages of different types of innovation under the effects of different technological trajectories. The survey identifies four types of technology evaluation strategies, namely, those of the flexible executive strategist, the emergent executive intuitionist, the deliberate quantitative strategist, and the deliberate consensual strategist, are identified. This study has found that certain types of technology evaluation strategies have better innovation performances than the others. The patterns of technological trajectories are also found to influence a firm's technology evaluation strategy and the advantages of certain types of innovations. The established explanations of the relationships among the technological trajectory, innovation type, and technology evaluation strategies may guide technology businesses to develop a better technology evaluation capability. The theoretical framework developed in this research enriches the strategic management literature with a new taxonomy for technology evaluation strategies.     

On the forecasting of the challenging world future scenarios

Logistic and power law methodologies for both retrospective and prospective analyses of extended time series describing evolutionary growth processes, in environments with finite resources, are confronted. While power laws may eventually apply only to the early stages of said growth process, the Allee logistic model seems applicable over the entire span of a long range process. On applying the Allee logistic model to both the world population and the world gross domestic product time series, from 1 to 2008 AD, a projection was obtained that along the next few decades the world should experience a new economic boom phase with the world GDP peaking around the year 2020 and proceeding from then on towards a saturation value of about 142 trillion international dollars, while the world population should reach 8.9 billion people by 2050. These results were then used to forecast the behavior of the supply and consumption of energy and food, two of the main commodities that drive the world system. Our findings suggest that unless the currently prevailing focus on economic growth is changed into that of sustainable prosperity, human society may run into a period of serious economical and social struggles with unpredictable political consequences.     

Superexponential long-term trends in information technology

Moore's Law has created a popular perception of exponential progress in information technology. But is the progress of IT really exponential? In this paper we examine long time series of data documenting progress in information technology gathered by [1]. We analyze six different historical trends of progress for several technologies grouped into the following three functional tasks: information storage, information transportation (bandwidth), and information transformation (speed of computation). Five of the six datasets extend back to the nineteenth century. We perform statistical analyses and show that in all six cases one can reject the exponential hypothesis at statistically significant levels. In contrast, one cannot reject the hypothesis of superexponential growth with decreasing doubling times. This raises questions about whether past trends in the improvement of information technology are sustainable.     

A Study on Flow Experience Structures: Enhancement or Death,Prospects for the Korean Wave

In proposing the concept of flow which focuses on experiencing the sites visited by Korean Wave tourists as induced by drama or movies, the role of involvement level (variables) of Korean Wave tourists in influencing flow construct as they experience the sites of FIT (Film Induced Tourism) was investigated. The involvement level of Korean Wave visitors was found to operate as a mechanism by which challenge, skills, and focused attention on site might be more organized or more actively experienced. This recognizes that there is clearly a need for making the FIT sites exposed much by any mix of various media. The findings of this study showed that challenges and skills influence enjoyment as an output factor of flow. Film site visitors are assumed to participate in the roles of film characters, experiencing the places and the atmosphere. The degree of visitors' reflections of the film optimizes awareness of flow experiences on the site. Therefore it is necessary to provide more detailed experiential programs on the film sites with a wide variety of flow-related contents in the film.     

Examining the influencing factors of intention to share accommodations in online hospitality exchange networks

ABSTRACT

CouchSurfing is a free social-network-based online hospitality exchange network, aptly representing a new sharing economy phenomenon. Based on social capital theory and previous literature, this study attempts to answer why hosts help strangers without any expected economic benefit within online hospitality exchange networks. An empirical study based on a Web survey conducted with CouchSurfing hosts reveals that the most identified antecedents (enjoy helping, shared narratives, desire to make friends, and reciprocity) are significantly related to hosts’ intention to share accommodations. Interestingly, the overshadowing effect of trust in CouchSurfing on the intention to share accommodations is also found.     

Moderating effect of capital intensity on the relationship between leverage and financial distress in the U.S. restaurant industry

During the recent and ongoing economic turmoil, countless businesses have been facing financial distress and many have filed for bankruptcy. This issue is especially critical for the restaurant industry due to restaurants’ sensitivity to economic fluctuations. Therefore, the purpose of this study is to examine the financial distress issue in the U.S. restaurant industry. In particular, the study examines a moderating effect of capital intensity on the relationship between a firm's leverage and degree of financial distress. The dataset includes publicly traded U.S. restaurant firms during the period 1990–2008. The study measures the degree of financial distress by modified Z-scores, and findings suggest a positive moderating effect of capital intensity on the relationship between leverage and financial distress.     

The impact of CSR on relationship quality and relationship outcomes: A perspective of service employees

Corporate social responsibility (CSR) has gained increasing attention over the past decade. While many studies examined an impact of CSR on consumers, only dearth of research is found that attempts to understand the impact of CSR on employees from the relationship marketing perspective. The purpose of this study is to investigate the role of CSR in predicting relationship quality and relationship outcomes. The four dimensions of CSR used in the study include economic, legal, ethical, and philanthropic aspects. Data were collected via survey from employees of franchised foodservice enterprises located in South Korea. The findings of the study show that not all dimensions of CSR have the same effect on relationship quality. While economic and philanthropic dimensions have a significant influence on organizational trust, only ethical dimension has a positive effect on job satisfaction. As expected, relationship quality has a significant impact on relationship outcomes.     

Microstructure-based manipulation: Strategic behavior and performance of spoofing traders

We examine how investors strategically spoof the stock market by placing orders with little chance of being executed, but which mislead other traders into thinking there is an imbalance in the order book. Using the complete intraday order and trade data of the Korea Exchange (KRX) in a custom data set identifying individual accounts, we find that investors strategically placed spoofing orders which, given the KRX's order-disclosure rule at the time, created the impression of a substantial order book imbalance, with the intent to manipulate subsequent prices. This manipulation, which made use of specific features of the market microstructure, differs from previously studied forms of manipulation based on information or transactions. Roughly half of the spoofing orders were placed in conjunction with day trading. Stocks targeted for manipulation had higher return volatility, lower market capitalization, lower price level, and lower managerial transparency. We also find that spoofing traders achieved substantial extra profits. The frequency of spoofing orders decreased drastically after the KRX altered its order-disclosure rule.