Search results

The literature of traditional inventory analysis contains primarily cost minimisation models. These models avoid the interface of marketing and finance with logistics through constraints and a combined logistics/marketing/finance objective of maximising firm's profit. Under certain conditions, the cost minimisation models will give the same results as the profit maximising results; however, if such conditions do not hold, the cost minimisation models may give results which are different from the profit maximising results. Such is the case when sales lot size for batch sales) decisions are analysed within a cost minimising framework. A proper framework based on discounted cash flow analysis as prescribed by finance theory is developed in this article. A numerical illustration is also presented.

Outlines previous research on the security analyst “superstar” phenomenon, including the stochastic model of Yule and Simon. Applies this to data on the 1986‐1997 selections for the Institutional Investor’s All‐British Research First Team (ABRT) and finds that it does not explain the distribution, i.e. that selection does appear to be based on skill rather than luck. Considers consistency with other research and expects future research to concentrate on the ABRT’s ability to forecast earnings per share and share prices.

The librarian and researcher have to be able to uncover specific articles in their areas of interest. This Bibliography is designed to help. Volume IV, like Volume III, contains features to help the reader to retrieve relevant literature from MCB University Press' considerable output. Each entry within has been indexed according to author(s) and the Fifth Edition of the SCIMP/SCAMP Thesaurus. The latter thus provides a full subject index to facilitate rapid retrieval. Each article or book is assigned its own unique number and this is used in both the subject and author index. This Volume indexes 29 journals indicating the depth, coverage and expansion of MCB's portfolio.

Research focusing on the relation between market orientation and innovation in the Asian emerging economy is limited. The purpose of this study is to advance the extant literature by investigating the relations among market orientation, guanxi networking and innovation using the MARKOR scale.

The research conclusion is drawn based on the experience of 122 Asian emerging market firms operating in a wide variety of industrial sectors. This study explores whether the three MARKOR components (intelligence generation, dissemination and responsiveness) and their interaction with business and political guanxi have a significant effect on firms’ strategic innovation success. Innovation is measured following the practice of the OECD. In addition to the quantitative analyses, this study conducted qualitative interviews with executives of eight respondent firms, to further consolidate the subjects under investigation. The integration of both qualitative and quantitative data enriches the conclusions drawn from the study.

The findings of this study confirm that, when operating in an Asian emerging economy, both intelligence generation and responsiveness have a positive and direct impact on innovation. Though intelligence dissemination has no direct influence on innovation, its alignment with business and political guanxi still leads to a positive effect on innovation. The coalition of responsiveness and political guanxi, however, has a negative influence on innovation. The results of this study add new insights to the extant literature and provide implications for future research and marketing practices in Asian emerging economies.

The findings of this study confirm that, when operating in an Asian emerging economy, both intelligence generation and responsiveness have a positive and direct impact on innovation. Though intelligence dissemination has no direct influence on innovation, its alignment with business and political guanxi still leads to a positive effect on innovation. The coalition of responsiveness and political guanxi, however, has a negative influence on innovation. The results add new insights to the extant literature and provide implications for future research and marketing practices in Asian emerging economies.

Drawing on the literature from cognitive neuroscience and auditing research on professional skepticism (PS), this paper identifies new research questions, determinants, and theories that may resolve current problem areas in PS research. We identify the following PS research areas that neuroscientific perspectives can potentially improve: 1) theory, 2) trust, 3) trait and state skepticism, 4) deception/fraud detection, and 5) skeptical judgment and action. The paper concludes with a discussion of the critical question of whether integrating a neuroscientific perspective in PS research is worthwhile and provides further direction for future research.

Digital humanities research platform for biographies of Malaysia personalities (DHRP-BMP) was collaboratively developed by the Research Center for Chinese Cultural Subjectivity in Taiwan, the Federation of Heng Ann Association Malaysia, and the Malaysian Chinese Research Center of Universiti Malaya in this study. Using The Biographies of Malaysia Henghua Personalities as the main archival sources, DHRP-BMP adopted the Omeka S, which is a next-generation Web publishing platform for institutions interested in connecting digital cultural heritage collections with other resources online, as the basic development system of the platform, to develop the functions of close reading and distant reading both combined together as the foundation of its digital humanities tools.

The results of the first-stage development are introduced in this study, and a case study of qualitative analysis is provided to describe the research process by a humanist scholar who used DHRP-BMP to discover the character relationships and contexts hidden in The Biographies of Malaysia Henghua Personalities.

Close reading provided by DHRP-BMP was able to support humanities scholars on comprehending full text contents through a user-friendly reading interface while distant reading developed in DHRP-BMP could assist humanities scholars on interpreting texts from a rather macro perspective through text analysis, with the functions such as keyword search, geographic information and social networks analysis for humanities scholars to master on the character relationships and geographic distribution from personality biographies, thus accelerating their text interpretation efficiency and uncovering the hidden context.

At present, a digital humanities research platform with real-time characters’ relationships analysis tool that can automatically generate visualized character relationship graphs based on Chinese named entity recognition (CNER) and character relationship identification technologies to effectively assist humanities scholars in interpreting characters’ relationships for digital humanities research is still lacking so far. This study thus presents the DHRP-BMP that offers the key features that can automatically identify characters’ names and characters’ relationships from personality biographies and provide a user-friendly visualization interface of characters’ relationships for supporting digital humanities research, so that humanities scholars could more efficiently and accurately explore characters’ relationships from the analyzed texts to explore complicated characters’ relationships and find out useful research findings.

The paper provides an overview of research published in the innovation and operations management (IOM) literature on 15 methods for cost management in new product development, and it provides a comparison to an earlier review of the management accounting (MA) literature (Wouters & Morales, 2014).

This structured literature search covers papers published in 23 journals in IOM in the period 1990–2014.

The search yielded a sample of 208 unique papers with 275 results (one paper could refer to multiple cost management methods). The top 3 methods are modular design, component commonality, and product platforms, with 115 results (42%) together. In the MA literature, these three methods accounted for 29%, but target costing was the most researched cost management method by far (26%). Simulation is the most frequently used research method in the IOM literature, whereas this was averagely used in the MA literature; qualitative studies were the most frequently used research method in the MA literature, whereas this was averagely used in the IOM literature. We found a lot of papers presenting practical approaches or decision models as a further development of a particular cost management method, which is a clear difference from the MA literature.

This review focused on the same cost management methods, and future research could also consider other cost management methods which are likely to be more important in the IOM literature compared to the MA literature. Future research could also investigate innovative cost management practices in more detail through longitudinal case studies.

This review of research on methods for cost management published outside the MA literature provides an overview for MA researchers. It highlights key differences between both literatures in their research of the same cost management methods.

Many multinational firms attempt to cope with trade policy uncertainties by developing the option of manufacturing their goods in multiple production facilities in different countries. In this chapter, we explore how such “production switching” options affect the vulnerability of a country’s exports to foreign protectionism. We present a theoretical model of such behavior and show that production switching increases the elasticity of a country’s export with respect to tariffs. The magnitude of the elasticity depends on a country’s position in the value chain. We use the model’s predictions to provide new insights into the vulnerability of China’s exports during the current Sino–US trade war.

This study examines the extent to which educational outcomes are transmitted from mothers to daughters in rural China. An analysis of the 2010 China Family Panel Survey reveals that: (i) how far daughters go in their education is strongly associated with their mothers’ education; (ii) the association between mothers’ and daughters’ educational outcomes in rural China was found to be stronger than the corresponding relationships between mothers and sons, fathers and daughters, and fathers and sons, especially at higher levels of education; and (iii) while having more brothers and being born later worsens daughters’ educational outcomes, mothers’ higher education effectively mitigates these negative effects. These findings add to a growing body of literature and empirical evidence that challenges conventional social mobility research paradigms that neglect mothers’ roles. More importantly, the distinction between mother–daughter relationship and that between fathers and daughters and mothers and sons highlights the fact that education is likely transmitted intergenerationally via mechanisms that differ depending on the gendered parent–child pairs.