Design and development of inventory knowledge discovery system

Inventory management (IM) performance is affected by the forecasting accuracy of both demand and supply. In this paper, an inventory knowledge discovery system (IKDS) is designed and developed to forecast and acquire knowledge among variables for demand forecasting. In IKDS, the TREes PArroting Networks (TREPAN) algorithm is used to extract knowledge from trained networks in the form of decision trees which can be used to understand previously unknown relationships between the input variables so as to improve the forecasting performance for IM. The experimental results show that the forecasting accuracy using TREPAN is superior to traditional methods like moving average and autoregressive integrated moving average. In addition, the knowledge extracted from IKDS is represented in a comprehensible way and can be used to facilitate human decision-making.     

On domain modelling of the service system with its application to enterprise information systems

Information systems are a kind of service systems and they are throughout every element of a modern industrial and business system, much like blood in our body. Types of information systems are heterogeneous because of extreme uncertainty in changes in modern industrial and business systems. To effectively manage information systems, modelling of the work domain (or domain) of information systems is necessary. In this paper, a domain modelling framework for the service system is proposed and its application to the enterprise information system is outlined. The framework is defined based on application of a general domain modelling tool called function-context-behaviour-principle-state-structure (FCBPSS). The FCBPSS is based on a set of core concepts, namely: function, context, behaviour, principle, state and structure and system decomposition. Different from many other applications of FCBPSS in systems engineering, the FCBPSS is applied to both infrastructure and substance systems, which is novel and effective to modelling of service systems including enterprise information systems. It is to be noted that domain modelling of systems (e.g. enterprise information systems) is a key to integration of heterogeneous systems and to coping with unanticipated situations facing to systems.     

Outlying Islands as a Tourist Destination for Local Residents: The Case of Cheung Chau in Hong Kong

Cheung Chau is an outlying island in Hong Kong, which is relatively untouched by the region's rapid economic development. The island provides a dramatic contrast to the cosmopolitan city center, one of the most popular travel destinations in Asia and a major business hub. This makes Cheung Chau a special attraction for local residents seeking to get away from their routine lives. However, no published studies have examined the opinions of residents on sustainable tourism development on Hong Kong's outlying islands and the motivating factors that drive residents to visit those islands. Hence, an exploratory qualitative study was undertaken to develop an understanding of the public's motivation for visiting Cheung Chau. The results of in-depth interviews with 15 residents who had visited the island are presented, along with an examination of the future direction of tourism development in Cheung Chau.     

Art festival attendance: Who attends and why with implications on developing future festival attractiveness

Art festivals are an increasing part of a destination's event portfolio, asserted by destination marketing and management agencies to hopefully promote community engagement including attracting tourism, trade, and talent to the destination. With art festivals a common annual event feature at destinations, the competition for festival participation has increased, creating a greater need to isolate those festival attributes that are specifically appealing to targeted visitor segments. Examining participant profile and motives to attend the publically funded annually recurring Macau Arts Festival (MAF), the findings of this case study showed mostly community involvement with participants being mainly well educated, middle-aged, and female. While an aim of the festival, international participation in the festival was limited. A factor analysis on motives to attend the festival revealed that while there was common agreement with previous literature on reasons to attend, Macau's cultural background provided increased opportunity for the MAF to differentiate the event. Marketing implications also suggested investigating a communication strategy that could differ between attracting local and international audiences. With a significant cost to public finances, greater scrutiny on the appeal of the festival to specific local and international audiences was recommended to better present the cost to benefit argument for hosting.     

A learning-based variable assignment weighting scheme for heuristic and exact searching in Euclidean traveling salesman problems

Many search algorithms have been successfully employed in combinatorial optimization in logistics practice. This paper presents an attempt to weight the variable assignments through supervised learning in subproblems. Heuristic and exact search methods can therefore test promising solutions first. The Euclidean Traveling Salesman Problem (ETSP) is employed as an example to demonstrate the presented method. Analysis shows that the rules can be approximately learned from the training samples from the subproblems and the near optimal tours. Experimental results on large-scale local search tests and small-scale branch-and-bound tests validate the effectiveness of the approach, especially when it is applied to industrial problems.     

To Whom,When, and How Much to Discount? A Constrained Optimization of Customized Temporal Discounts

Customized temporal discounts are price cuts or coupons that are tailored by size, timing, and household to maximize profits to a retailer or manufacturer. The authors show how such discounts allow companies to optimize to whom, when, and how much to discount. Such a scheme allows firms to send just enough discounts just prior to the individual's purchase of a rival brand. To do so, the authors model household purchase timing and brand choice in response to discounts and use Bayesian estimation to obtain individual household parameters. They illustrate the model on a Japanese data set having price cuts, a US data set having coupons, and another US data set having discounts. They formulate the optimization task of customized temporal coupons as a constrained multiple-knapsack problem under a given budget. They use simulations of the empirical contexts to obtain optimal solutions and to assess improvement in profits relative to existing practice and alternate models in the literature. The proposed model yields increase in profits of 18–40 percent relative to a standard model that optimizes the value but not timing of discounts.     

A general equilibrium analysis in the Phillips space

The relationship between inflation and unemployment is analyzed within a general equilibrium framework in which the equilibrium rates of inflation and unemployment are solved simultaneously. The locus of points in the Phillips (inflation-unemployment) space depends on the dynamic adjustment mechanism postulated and the value of the behavioral parameters of the model. Changes in fiscal and monetary policy may lead to clockwise or counter-clockwise loops or spirals and to movement of the system in any direction in the Phillips space. The traditional inverse relationship between inflation and unemployment represents only one of a number of possibilities.     

Chinese Consumers and E-Commerce

I. IntroductionThe rapid development in information technology has bridged the gap and improved links between people of the world. A consequence of such wide-reaching contact among people is the boost in international trade. Although the proliferation of international business is also due to liberalization of the economy and the removal of trade barriers between countries, it is indisputable that the availability of     

Business Ethics and the Well-Being of Nations – Is There a Connection?

The aim of this paper is to examine whether and how business ethics is connected with the well-being of a nation. There has been active research in the well-being of nations across the globe in the last two decades, resulting in substantial theoretical progress and a wealth of empirical data on the well-beings of different nations across the globe. Dissatisfied with the conventional measures such as the GDP, well-being researchers have been developing alternative measures that can better capture the true nature of the well-being of a country. The paper begins by examining why the GDP is inadequate as a good measure of the well-being of a country. Major alternative proposals on well-being or similar measures are summarized. Objective well-being of a nation refers to the conditions of well-being of a country. Subjective well-being of a nation is the perceptions of its citizens with regard to their satisfaction with the major conditions of living in that nation. The paper presents two central arguments leading to the conclusion that business ethics is an integral part of the well-being of a country. The first argument utilizes the concept of workplace well-being to establish the linkage. The second argument uses evidence from a recent survey of the perceptions of Taiwanese people on business ethics in relation to the well-being of a nation. The paper also reveals that common values tie the two together at a deeper level.