Optimal Patent Protection in a Two-Sector Economy

This article addresses the issue of optimal patent protection in an economy with a downstream and an upstream sector. The key insight is that higher patent protection in the downstream sector raises the incentives of agents to do R&D in that sector but discourages innovation in the upstream sector because of a market size effect. Hence, higher patent protection in the upstream sector accelerates growth whereas higher patent protection in the downstream sector slows it down. If some innovation is socially desirable, optimal patent protection is necessarily higher in the upstream than in the downstream sector.     

Dividend Omissions and Intraindustry Information Transfers

We examine potential information transfers from companies that announce dividend omissions to their industry rivals. Specifically, we examine the abnormal stock returns and abnormal earnings forecast revisions of rivals after a company makes a dividend‐omission announcement. Our results show negative and significant abnormal stock returns and negative and significant abnormal forecast revisions for rival companies in response to the announcement, and a significant and positive relation between the two. We conclude that a dividend‐omission announcement transmits unfavorable information across the announcing company's industry that affects cash flow expectations and ultimately stock prices.     

Fragmentation, Engel's Law, and Learning

This paper outlines the conditions under which trade is beneficial for a developing country's growth. A developing country suffers from two disadvantages: low income and a comparative disadvantage in the production of modern manufactured goods—goods which allow a high rate of human capital accumulation through learning by doing. Low income together with Engel's law imply that developing countries consume and produce very few modern goods in autarky and hence grow slowly. With international fragmentation of production, a developing country may find comparative advantage in the production of some stages of modern goods despite an absence of comparative advantage in the production of modern goods under “100% local content.” More resources can then be allocated to the modern goods sector leading to greater learning externalities and hence growth under free trade than in autarky.     

Setting operating policies for supply hubs

This paper deals with the joint management of operations at the supply hub for the customer and the upstream supplier. Different operating conditions are considered, namely, backordering, minimum and maximum specified inventory levels. Some analytical insights on better managing suppliers operating under a vendor managed inventory program are presented. Essentially, we show that the penalty cost imposed on over- and under-stocking, and the min–max policy for hub inventory reside in the power of the hub operator. The relationship between supply hub policy and performance measures is quite complex and non-linear in nature. We suggest a structured hierarchical approach which can help supply hub in achieving balance between various parties involved in chain. A numerical example and an algorithm are included to highlight this result.     

Uncertainty perception in bidding for Product-Service Systems under competition

This research investigates what impact of uncertainty perception arising from the existence of competition has on the pricing decision for Product-Service Systems (PSS) under uncertainty. PSS provision is an increasingly important area for many businesses and competition increases cognitive pressures on providers even further. We present an experimental study with industrial costing and bidding experts from the defence and aerospace sector. The study consisted of an experimental set-up via two questionnaires which differed in the existence of competition in the bidding scenario. The findings showed that bidding decision makers changed their evaluation of the cost estimate due to the introduction of competition but kept their evaluations of the profit margin and price bids constant. Furthermore, the participants listed the relevant sources of uncertainty that influenced their decision-making process. This research contributes to the literature in two ways. First, our findings showed that predictions from current theory regarding decision-making of cost estimation and pricing are not confirmed when competitively bidding for PSS. Second, we show uncertainty sources that influenced the decision makers and identified p the importance of internal processes of the PSS provider and environmental uncertainty.     

Determinants and Valuation Implications of Compulsory Stock Option Disclosures in a Weak Regulatory Setting—The Case of France

Using a sample of listed French firms in 2005, the year of mandatory IFRS adoption in the European Union (EU), we investigate the determinants of disclosure compliance of stock option expenses under IFRS 2, Share‐based Payment. Stock options are a popular means of executive compensation in France relative to other EU countries. Prior to 2005, French accounting standards and corporate governance regulations did not require recognition of option expense amounts and required minimal supplementary disclosures. There was also a perception that enforcement was imperfect, in particular with respect to IFRS 2. Given this setting, we explore what factors influence the willingness of firms to follow compulsory IFRS requirements in a weak regulatory setting. We find that overall compliance with IFRS 2 disclosure requirements increases with U.S. and U.K. institutional ownership, U.S. cross‐listing, provision of English language statements, and decreases with CEO and family ownership of the firm. We also investigate how stock market prices are affected by the recognition and disclosure of stock option expenses according to IFRS 2 in this regulatory setting and find that investors value option expenses positively, particularly when accompanied by high‐disclosure compliance. Our findings have implications for other jurisdictions in the process of adopting or converging to IFRS.     

The nexus between sustainable practices in hotels and future Gen Y hospitality students’ career path decisions

This study explored tertiary hospitality students’ attitudes and overall perceptions about green and sustainable practices; and how these may impact their future career paths in the hotel industry. A thematic analysis with data from 12 semi-structured interviews with students in a hotel management school in Australia was used to identify patterns and interpretive themes. Results revealed positive attitudes among Generation Y hospitality students towards working in a green and sustainable hotel environment. Implications highlight the need for sustainability education in the curriculum of tertiary education providers and strong emphasis on sustainability practices in employee training programs. The results also suggest possible impacts of sustainability practices in recruiting and hiring in the hospitality industry and how this may affect future hospitality employees and leaders.     

An analysis of Japanese earnings forecast revisions with application to seasoned equity offerings

Using the bootstrap method, we explore the characteristics of revisions in Japanese earnings forecast data. We find that forecast revisions exhibit a downward trend over time as the actual earnings announcement date approaches, and are serially correlated with three significant lags. Using these characteristics we develop a model to estimate abnormal forecast revisions, and illustrate the model's use with a sample of Japanese companies announcing seasoned equity offerings (SEOs). In contrast to results obtained by studies using American data, our findings indicate significant positive upward revisions when Japanese firms announce an SEO.     

Innovation and productivity: insights from Malaysia's logistics industry

Efficient logistics is critical to a country's trade competitiveness. This paper uses the Data Envelopment Analysis Malmquist Index that includes an innovation component comprising three dimensions (input, process, and output), to assess the impact of innovation by third-party logistics (3PL). We treat the panel data of asset-based 3PL in Malaysia from 2007 to 2012. Three findings hold. First, innovation is not always accompanied by productivity gains. Second, innovation is still lacking in the logistics industry in Malaysia. Third, 3PL need to invest more in technology and stay financially healthy to accelerate the diffusion of innovation under a more competitive cost structure. This paper has two contributions. First, we offer an enhanced methodology for total factor productivity by including an innovation component and apply it for the first time to the logistics industry. Second, we augment the performance measurement literature specific to the logistics industry and our research suggests that the antecedents of productivity in logistics companies are investment and financial strength. These productivity–innovation findings provide insights into Malaysia's logistics industry and may be helpful for economies similar to Malaysia.     

The Methodological Progress of Tourism Demand Forecasting: A Review of Related Literature

Research on modeling the estimation and forecasting of tourism demand has evolved with increasing sophistication and improved quality. In this study, 155 research papers published between 1995 and 2009 were identified and were classified into three main groups according to the methods and techniques adopted—an econometric-based approach, time series techniques, and artificial intelligence (AI)-based methods. It appears that the more advanced methods such as cointegration, error correction model, time varying parameter model, and their combinations with systems of equations produce better results in terms of forecasting accuracy. We also discuss the implications and suggest future directions of tourism research techniques and methods.